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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
<issn pub-type="epub">2624-893X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/ffgc.2020.00007</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Forests and Global Change</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Effect of Forest Management Options on Forest Resilience to Pathogens</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Roberts</surname> <given-names>Michaela</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/761647/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gilligan</surname> <given-names>Christopher A.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kleczkowski</surname> <given-names>Adam</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/881445/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hanley</surname> <given-names>Nick</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Whalley</surname> <given-names>A. E.</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Healey</surname> <given-names>John R.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/555972/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Social, Economic and Geographical Sciences Group, James Hutton Institute</institution>, <addr-line>Aberdeen</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Geography and Sustainable Development, University of St Andrews</institution>, <addr-line>St Andrews</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Natural Sciences, Bangor University</institution>, <addr-line>Bangor</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Plant Sciences, University of Cambridge</institution>, <addr-line>Cambridge</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Mathematics and Statistics, University of Strathclyde</institution>, <addr-line>Glasgow</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff6"><sup>6</sup><institution>Faculty of Natural Sciences, University of Stirling</institution>, <addr-line>Glasgow</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff7"><sup>7</sup><institution>Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow</institution>, <addr-line>Glasgow</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff8"><sup>8</sup><institution>Warwick Business School, University of Warwick</institution>, <addr-line>Coventry</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alberto Santini, Italian National Research Council, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Rose Marie Muzika, Carnegie Museum of Natural History, United States; J&#x000FC;rgen Bauhus, University of Freiburg, Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Michaela Roberts <email>Michaela.roberts&#x00040;hutton.ac.uk</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Forest Disturbance, a section of the journal Frontiers in Forests and Global Change</p></fn></author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>02</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>3</volume>
<elocation-id>7</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2020 Roberts, Gilligan, Kleczkowski, Hanley, Whalley and Healey.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Roberts, Gilligan, Kleczkowski, Hanley, Whalley and Healey</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>Invasive pathogens threaten the ability of forests globally to produce a range of valuable ecosystem services over time. However, the ability to detect such pathogen invasions&#x02014;and thus to produce appropriate and timely management responses&#x02014;is relatively low. We argue that a promising approach is to plan and manage forests in a way that increases their resilience to invasive pathogens not yet present or ubiquitous in the forest. This paper is based on a systematic search and critical review of empirical evidence of the effect of a wide range of forest management options on the primary and secondary infection rates of forest pathogens, and on subsequent forest recovery. Our goals are to inform forest management decision making to increase forest resilience, and to identify the most important evidence gaps for future research. The management options for which there is the strongest evidence that they increase forest resilience to pathogens are: reduced forest connectivity, removal or treatment of inoculum sources such as cut stumps, reduced tree density, removal of diseased trees and increased tree species diversity. In all cases the effect of these options on infection dynamics differs greatly amongst tree and pathogen species and between forest environments. However, the lack of consistent effects of silvicultural systems or of thinning, pruning or coppicing treatments is notable. There is also a lack of evidence of how the effects of treatments are influenced by the scale at which they are applied, e.g., the mixture of tree species. An overall conclusion is that forest managers often need to trade-off increased resilience to tree pathogens against other benefits obtained from forests.</p></abstract>
<kwd-group>
<kwd>tree disease</kwd>
<kwd>epidemiology</kwd>
<kwd>forestry</kwd>
<kwd>pathogen</kwd>
<kwd>silviculture</kwd>
<kwd>forest management</kwd>
<kwd>invasive species</kwd>
<kwd>species diversity</kwd>
</kwd-group>
<contract-sponsor id="cn001">Biotechnology and Biological Sciences Research Council<named-content content-type="fundref-id">10.13039/501100000268</named-content></contract-sponsor>
<contract-sponsor id="cn002">Department for Environment, Food and Rural Affairs<named-content content-type="fundref-id">10.13039/501100000277</named-content></contract-sponsor>
<contract-sponsor id="cn003">Economic and Social Research Council<named-content content-type="fundref-id">10.13039/501100000269</named-content></contract-sponsor>
<contract-sponsor id="cn004">Natural Environment Research Council<named-content content-type="fundref-id">10.13039/501100000270</named-content></contract-sponsor>
<contract-sponsor id="cn005">Rural and Environment Science and Analytical Services Division<named-content content-type="fundref-id">10.13039/100011310</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
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<ref-count count="160"/>
<page-count count="21"/>
<word-count count="20441"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Invasive species present significant threats to natural and planted forests (Wingfield et al., <xref ref-type="bibr" rid="B156">2015</xref>; Liebhold et al., <xref ref-type="bibr" rid="B79">2017</xref>; Muzika, <xref ref-type="bibr" rid="B103">2017</xref>), and can, in combination with climate change, create &#x0201C;mega disturbances&#x0201D; which disrupt forests worldwide (Millar and Stephenson, <xref ref-type="bibr" rid="B99">2015</xref>), leading to large ecological, economic, and social losses (Hill et al., <xref ref-type="bibr" rid="B61">2019</xref>). While invasive species research often focuses on animal and plant invasions, forest ecosystems are also threatened by invasive microbial pathogens. Pathogens have the potential to disrupt timber and non-timber benefits provided by forests, and the need for a coordinated effort to tackle such invasive species is being increasingly recognized (Wingfield et al., <xref ref-type="bibr" rid="B156">2015</xref>). In this context, to be considered invasive a pathogen does not need to be non-native to the region, but rather through an increase in its abundance produce a widespread negative impact on a given ecosystem (Warren, <xref ref-type="bibr" rid="B154">2007</xref>; Carey et al., <xref ref-type="bibr" rid="B20">2012</xref>).</p>
<p>Managing invasive pathogens presents unique challenges not associated with controlling invasive plants and animals, including insects. The cryptic nature of infection by pathogens, particularly at the beginning of their life cycles, means that many invasions remain undetected until trees become symptomatic, by which time the pathogen is often already widespread (Liebhold et al., <xref ref-type="bibr" rid="B79">2017</xref>; Muzika, <xref ref-type="bibr" rid="B103">2017</xref>). Even after infection has been detected, identification of the causal pathogen is normally reliant on examination of spores and/or DNA sequencing. As a result, many pathogens have remained unidentified or misidentified, restricting our capacity to manage invasions effectively (Wingfield et al., <xref ref-type="bibr" rid="B156">2015</xref>, <xref ref-type="bibr" rid="B157">2017</xref>). Genetic variation amongst microbial pathogens is greater than even that found between the plant and animal kingdoms, and as such these pathogens have highly varied life histories. This not only creates challenges in designing control measures for pathogens as a general invasive threat, but also in tackling individual pathogens, which can present unfamiliar life history traits (Wingfield et al., <xref ref-type="bibr" rid="B157">2017</xref>). These complex and often still unknown life histories, as well as their potential for relatively rapid evolution, restrict our ability to predict which pathogens will become invasive, and how any invasion will progress (Ghelardini et al., <xref ref-type="bibr" rid="B43">2017</xref>).</p>
<p>Tree pathogens threaten the ability of forests to deliver ecosystem services over the long-term. The importance of phytosanitary measures, such as quarantine, to reduce the risk of invasive tree pathogens reaching a country or a given forest have long been recognized (Wingfield et al., <xref ref-type="bibr" rid="B156">2015</xref>). However, as rotation lengths from establishment to harvest of a forest tree crop generally last for several decades, the high rate of arrival of new pathogen species to locations around the world means that any newly established crop may potentially be subject to many new pathogens before it reaches maturity. This poses a particular challenge for forest managers. So far, management responses have largely been restricted to reactive measures taken after the presence of a given pathogen has been detected, by which time economic and ecological damage costs can rarely be avoided. This restriction on the ability of forest managers to respond until a specific pathogen has been detected raises the important question of whether and how forests should be planned and managed to maximize their resilience to the threat of future unknown pathogens.</p>
<p>To help address this challenge, a recent extension of epidemiological modeling (&#x0201C;epi-economic modeling&#x0201D;) has linked the economics of forest management practices to the impacts of tree pathogens across a range of primary and secondary infection rates and damage costs (Macpherson et al., <xref ref-type="bibr" rid="B82">2017a</xref>,<xref ref-type="bibr" rid="B84">b</xref>, <xref ref-type="bibr" rid="B83">2018</xref>). This approach is based on an epidemiological paradigm (Kleczkowski et al., <xref ref-type="bibr" rid="B75">2019</xref>), whereby the population of trees is divided between healthy and susceptible individuals, and infected individuals. Mathematical models capturing the infection process can take different forms but the simplest equation is</p>
<disp-formula id="E1"><label>(1)</label><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mfrac><mml:mrow><mml:mi>d</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="true">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>r</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>r</mml:mi></mml:mrow><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mi>I</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>t</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo stretchy="true">)</mml:mo></mml:mrow><mml:mtext>&#x000A0;</mml:mtext><mml:mi>S</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>t</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>with <italic>S</italic> (<italic>t</italic>) denoting the number of still healthy but susceptible trees, <italic>r</italic><sub><italic>p</italic></sub> and <italic>r</italic><sub><italic>s</italic></sub> the rate of primary and secondary infection, respectively, <italic>I (t)</italic> currently infected trees within the unit, and d<italic>I</italic>/d<italic>t</italic> the rate of appearance of new infections (Brassett and Gilligan, <xref ref-type="bibr" rid="B15">1988</xref>).</p>
<p>The fundamental difference between primary and secondary infection is epidemiological. Primary infection is the invasion of the population of trees within the forest management or landscape-patch unit from an external source, e.g., an infected population of trees in another unit, and requires management at the boundary or beyond. Primary infections can also occur from a reservoir of inoculum in alternative hosts, or in soil or dead plant material when sites are replanted. Thus, the source is &#x0201C;external&#x0201D; to the population under threat albeit occupying the same parcel of land. Secondary infection is transmission from currently infected trees within the unit&#x00027;s population to its susceptible trees, driven by multiplication, dispersal, and infection of inoculum. Hence management activity in that forest unit can influence secondary infection and reduce epidemic spread. The rates of primary and secondary infections in Equation (1) capture the whole range of factors, including the susceptibility of individual trees to infection as well as the dispersal characteristics of the pathogen.</p>
<p>Fundamental to this paper is the recognition that resilience of a forest is linked to its response to invasions by forest pathogens. This response, in turn, is influenced by the management practices aimed at the prevention of such invasions, their control and, if control is unsuccessful, the mitigation of their effects. The modeling framework described above and its extensions, have successfully been used in describing spread and control of tree pathogens in forests (Macpherson et al., <xref ref-type="bibr" rid="B82">2017a</xref>, <xref ref-type="bibr" rid="B83">2018</xref>). However, application of such an approach to inform forest managers about how to increase forest resilience against future pathogen threats requires empirical evidence about the effects of forest management options on tree pathogen primary and secondary infection rates, and rates of forest recovery.</p>
<p>The key question in ecological and economic applications of the concept of resilience is &#x0201C;resilience of what, to what?&#x0201D; (Walker et al., <xref ref-type="bibr" rid="B151">2010</xref>; Matsushita et al., <xref ref-type="bibr" rid="B87">2018</xref>). The focus of this study is forests that are managed predominantly for timber production and in this case the most relevant concept of resilience is the one termed &#x0201C;engineering resilience,&#x0201D; which comprises two main components: &#x0201C;resistance&#x0201D; to the initial impact of a disturbance agent (in this case the invasion of a tree pathogen) and &#x0201C;recovery&#x0201D; toward the previous state or functioning of the forest ecosystem (Pimm, <xref ref-type="bibr" rid="B121">1984</xref>; Holling, <xref ref-type="bibr" rid="B62">1996</xref>; Grimm and Wissel, <xref ref-type="bibr" rid="B47">1997</xref>; Newton and Cantarello, <xref ref-type="bibr" rid="B105">2015</xref>). In the literature reviewed in our study, the measured response variables that give the best indication of &#x0201C;resistance&#x0201D; (at the scale of the forest ecosystem or stand) were level of individual tree infection or mortality, and the best indicators of &#x0201C;recovery&#x0201D; were rates of natural regeneration or stand-level growth rates of all surviving or subsequently established trees. We assume throughout the paper that managers are concerned with a single spatially contiguous unit of forest, because this is the scale at which most studies are carried out. However, the size of this unit may be highly variable, and we focus only on net increases or decreases in resilience. The majority of studies available for our review assumed that provisioning of timber was the ecosystem service of greatest importance resulting from the state or functioning of the forest.</p>
<p>The impacts of forest management on tree pathogens have been the subject of many recent reviews. Each has tended to focus on a single pathogen, such as white pine blister rust (<italic>Cronartium ribicola</italic>) (Schoettle and Sniezko, <xref ref-type="bibr" rid="B138">2007</xref>; Hunt et al., <xref ref-type="bibr" rid="B67">2010</xref>; Ostry et al., <xref ref-type="bibr" rid="B112">2010</xref>; Zeglen et al., <xref ref-type="bibr" rid="B160">2010</xref>), <italic>Phytophthora ramorum</italic> (Valachovic et al., <xref ref-type="bibr" rid="B148">2010</xref>), ash dieback (<italic>Hymenoscyphus fraxineus</italic>) (Pautasso et al., <xref ref-type="bibr" rid="B116">2013</xref>) or dothistroma needle blight (<italic>Dothistroma septosporum</italic> and <italic>D. pini</italic>) (Bulman et al., <xref ref-type="bibr" rid="B17">2016</xref>). As a result, the findings have been highly variable, with recommendations largely dependent on the pathogen considered. Alternatively, pathogens have been considered alongside insect pests (Waring and O&#x00027;Hara, <xref ref-type="bibr" rid="B153">2005</xref>; Liebhold et al., <xref ref-type="bibr" rid="B79">2017</xref>; Muzika, <xref ref-type="bibr" rid="B103">2017</xref>) or other general threats to forest ecosystems (Jactel et al., <xref ref-type="bibr" rid="B69">2009</xref>, <xref ref-type="bibr" rid="B68">2017</xref>). Reviews focused on broader forest resistance to the threat of tree pathogens have been limited to considering only the effect of tree species mixtures on the spread of and damage caused by pathogens (Pautasso et al., <xref ref-type="bibr" rid="B117">2005</xref>; Prospero and Cleary, <xref ref-type="bibr" rid="B125">2017</xref>) or of more general principles of interactions and ecosystems services (Boyd et al., <xref ref-type="bibr" rid="B14">2014</xref>). Overall, the local context of the forest and pathogen have been recognized as important in directing management responses.</p>
<p>The objective of the current study is to synthesize the evidence for the effect of forest management options on forest resilience to tree pathogens. The scope is broad, including all of the main categories of forest management variables and all tree pathogen species. However, animal pests, invasive plants and abiotic threats such as fire were excluded. A second objective is to forge an explicit link between forest resilience, forest design, or silvicultural management practices and epi-economic modeling grounded in plant and tree epidemiology (Macpherson et al., <xref ref-type="bibr" rid="B82">2017a</xref>,<xref ref-type="bibr" rid="B84">b</xref>, <xref ref-type="bibr" rid="B83">2018</xref>). Thus, we seek to assess the empirical evidence for the effect of each forest management option on the three key elements of primary infection, secondary infection and subsequent forest recovery, in order to inform forest management decision making to increase forest resilience, and to identify the most important evidence gaps to motivate future research.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>We carried out a literature review using a systematic search method to identify published sources of empirical data on the relationship between forest management and resilience to tree pathogens. We conducted an initial search of the peer-reviewed literature through Web of Science, using search strings to identify papers on all of forest management, pests, pathogens or disease, and resilience, excluding medical papers and those concerned with food supply, using the Boolean search string of:</p>
<disp-quote><p>TS = ((((<sup>&#x0002A;</sup>forest<sup>&#x0002A;</sup> OR wood<sup>&#x0002A;</sup> OR tree<sup>&#x0002A;</sup>) AND (manage<sup>&#x0002A;</sup>)) OR silvicult<sup>&#x0002A;</sup>) AND (pest<sup>&#x0002A;</sup> OR disease<sup>&#x0002A;</sup> OR pathogen<sup>&#x0002A;</sup>) AND (exposure OR resist<sup>&#x0002A;</sup> OR recover<sup>&#x0002A;</sup> OR spread OR risk OR suscept<sup>&#x0002A;</sup> OR transmit<sup>&#x0002A;</sup> OR dispers<sup>&#x0002A;</sup> OR infect<sup>&#x0002A;</sup>) NOT (medicin<sup>&#x0002A;</sup> OR clinic<sup>&#x0002A;</sup> OR pharma<sup>&#x0002A;</sup> OR foodborne OR food-borne OR mycorrhizal OR biomedic<sup>&#x0002A;</sup> OR mosquito OR tick OR lyme<sup>&#x0002A;</sup> OR malaria<sup>&#x0002A;</sup>)) NOT SO = (medicin<sup>&#x0002A;</sup> OR clinic<sup>&#x0002A;</sup> OR pharma<sup>&#x0002A;</sup> OR biomedic<sup>&#x0002A;</sup>) NOT WC = (medicin<sup>&#x0002A;</sup> OR clinic<sup>&#x0002A;</sup> OR pharma<sup>&#x0002A;</sup> OR biomedic<sup>&#x0002A;</sup>)</p></disp-quote>
<p>This search (run on 27/06/2017) returned 3,534 papers. The papers were screened first by title, then abstract, and finally full text to identify papers reporting original empirical data on the effects of forest management on tree diseases caused by pests or pathogens, which retained 599 papers. We then excluded papers that only covered tree pests (362 papers), were only concerned with tropical forests (85 papers) or orchards (235 papers), were concerned with tree breeding (74 papers), or were entirely review (23 papers) or theoretical modeling (21 papers) studies (note papers may be present in more than one category). Removal of tree pests also included removing papers concerning insect vectors, because in the majority of cases the distinction between direct damage and vectoring of a pathogen could not be determined. This procedure retained 81 papers. As many forest management actions are not reported in the published literature, searches were also run in TREESEARCH, the research portal for the US Forest Service, using the following search string:</p>
<disp-quote><p>(disease OR fung<sup>&#x0002A;</sup> OR pathogen OR bacteri<sup>&#x0002A;</sup> OR oomycete OR virus) AND (((tree OR forest<sup>&#x0002A;</sup> OR wood) AND manage<sup>&#x0002A;</sup>) OR silvicult<sup>&#x0002A;</sup>)</p></disp-quote>
<p>and the UK Forestry Commission website, using the search string:</p>
<disp-quote><p>disease fung<sup>&#x0002A;</sup> pathogen bacteria<sup>&#x0002A;</sup> oomycete virus</p></disp-quote>
<p>Restrictions on the search terms for each search engine prevented identical searches from being carried out. The search in TREESEARCH returned 158 documents, of which 12 were identified as relevant and containing data. The Forestry Commission website returned 58 documents, of which three were identified as relevant and containing data. Together with literature identified from the reference lists of retained papers and identified reviews (nine papers), and further search terms added to account for fertilizer application (four papers), the final reference list contained 114 papers and reports. This list was further refined to include only papers whose reliability, robustness and applicability to forest management could be assured. Studies which were purely descriptive, lab-based or considered only pathogen presence, rather than impact, were excluded. The remaining 109 papers included within the review were scored for strength of evidence based on whether they were correlative or experimental, and whether single or multiple sites had been considered, within single or multiple forests.</p>
<p>We organized papers by management technique, treating each technique reported within a single paper independently, and then by pathogen type. We have included a broad range of management options, including forest design planning, site preparation for forest establishment, tree species diversity, silvicultural system and individual silvicultural actions. These categories were not pre-determined but were decided through reading the papers.</p>
<p>To assess the outcome of each management technique we classified the results of each study as strong positive or strong negative (relationship observed in all sites within the study), weak positive or weak negative (relationship observed in at least one site within the study, with no sites showing the opposite relationship), no relationship, or mixed (both positive and negative relationships observed across sites). A technique was therefore considered to have an overall positive or negative impact where multiple studies, or a robust single study across multiple forests, found the same result, and there were no robust studies reporting a contradictory result. If studies reported contradicting results, we considered the outcome of this technique to be mixed unless the results were weighted heavily in one direction, and the contradicting study was considered to be of low robustness. Where only a limited number of studies was available this was identified as a weakness in our conclusions. A fuller description of this critical appraisal of the studies is provided in the <xref ref-type="supplementary-material" rid="SM1">Supplementary Material</xref>, together with the full outputs of the search and critical appraisal in the <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Overview of coverage of identified papers.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Coverage</bold></th>
<th valign="top" align="center"><bold>Percentage of papers</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Location</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;North America (excluding California and Oregon coastal forests)</td>
<td valign="top" align="center">35</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;California and Oregon coastal forests</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Europe</td>
<td valign="top" align="center">29</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Other</td>
<td valign="top" align="center">11</td>
</tr>
<tr>
<td valign="top" align="left">Tree type</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Broadleaf</td>
<td valign="top" align="center">48</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Conifer</td>
<td valign="top" align="center">52</td>
</tr>
<tr>
<td valign="top" align="left">Pathogen type</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Fungi (excluding Armillaria)</td>
<td valign="top" align="center">48</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Armillaria</td>
<td valign="top" align="center">17</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Oomycete (all phytophthora)</td>
<td valign="top" align="center">21</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;General</td>
<td valign="top" align="center">14</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The large variation in tree species, pathogens, and management techniques considered, as well as limited reporting of the particulars of management, prevented us from conducting a formal meta-analysis.</p>
</sec>
<sec id="s3">
<title>General Trends</title>
<p>Our review of the literature revealed a clear bias toward a small number of highly damaging pathogens. Studies into <italic>Armillaria</italic> and <italic>Phytophthora</italic> species comprised 38% of all studies identified (17 and 21%, respectively), and we found no studies on the effects of forest management on bacteria or viruses. Studies mainly covered commercially valuable host tree species, with equal coverage of conifers and broadleaves (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>A geographical bias was also evident, with 59% of studies based in North America, and California and Oregon coastal forests alone accounting for 24%. The majority of the remaining papers originate from Europe (29%), with eight papers from Oceania and two from Asia. Studies reporting only from natural tropical forests had previously been excluded. Only a single paper (Cleary et al., <xref ref-type="bibr" rid="B22">2013</xref>) reported results from more than one region (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>The response variables most commonly reported were mortality, disease incidence, and disease severity. The only indicator of forest recovery (defined in the section Introduction) that was widely reported was of subsequent tree growth rate, though this was often only measured over the short-term. There was minimal reporting of rates of tree natural regeneration. Studies generally reported outcomes in terms of symptoms of forest disease, and few papers considered the mechanisms connecting forest management to these outcomes. The distribution of studies amongst each forest management variable and each response variable is summarized in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Overview of published evidence of effects of forest management on resilience to tree diseases.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left" colspan="4"><bold>Identification and management of sources of primary infection</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Management</bold></th>
<th valign="top" align="left"><bold>Disease indication</bold></th>
<th valign="top" align="left"><bold>Trend</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Connectivity</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Jules et al., <xref ref-type="bibr" rid="B70">2002</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Hessburg, <xref ref-type="bibr" rid="B59">2001</xref>; Condeso and Meentemeyer, <xref ref-type="bibr" rid="B23">2007</xref>; Cushman and Meentemeyer, <xref ref-type="bibr" rid="B26">2008</xref>; Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>; Ellis et al., <xref ref-type="bibr" rid="B34">2010</xref>; Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>; Goheen et al., <xref ref-type="bibr" rid="B45">2012</xref>; Peterson et al., <xref ref-type="bibr" rid="B119">2014</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Condeso and Meentemeyer, <xref ref-type="bibr" rid="B23">2007</xref>; Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>,<xref ref-type="bibr" rid="B96">b</xref>; Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>; Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Previous land use</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Puddu et al., <xref ref-type="bibr" rid="B126">2003</xref>; Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Increased in previous forest land</td>
<td valign="top" align="left">Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Site preparation</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Decreased</td>
<td valign="top" align="left">Morrison et al., <xref ref-type="bibr" rid="B102">1988</xref>, <xref ref-type="bibr" rid="B100">2014</xref>; Gibbs et al., <xref ref-type="bibr" rid="B44">2002</xref>; Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>; Thies and Westlind, <xref ref-type="bibr" rid="B145">2005</xref>; Whitney and Irwin, <xref ref-type="bibr" rid="B155">2005</xref>; Cram et al., <xref ref-type="bibr" rid="B24">2010</xref>; Richter et al., <xref ref-type="bibr" rid="B130">2011b</xref>; Shaw et al., <xref ref-type="bibr" rid="B139">2012</xref>; Cleary et al., <xref ref-type="bibr" rid="B22">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Morrison et al., <xref ref-type="bibr" rid="B102">1988</xref>, <xref ref-type="bibr" rid="B100">2014</xref>; Ronnberg, <xref ref-type="bibr" rid="B133">2000</xref>; Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>; Pankuch et al., <xref ref-type="bibr" rid="B115">2003</xref>; Thies and Westlind, <xref ref-type="bibr" rid="B145">2005</xref>; Thor and Stenlid, <xref ref-type="bibr" rid="B146">2005</xref>; Holzmueller et al., <xref ref-type="bibr" rid="B63">2008</xref>; Hood and Kimberley, <xref ref-type="bibr" rid="B64">2009</xref>; Cram et al., <xref ref-type="bibr" rid="B24">2010</xref>; Fichtner et al., <xref ref-type="bibr" rid="B37">2011</xref>; Kwon et al., <xref ref-type="bibr" rid="B76">2011</xref>; Richter et al., <xref ref-type="bibr" rid="B129">2011a</xref>; Beh et al., <xref ref-type="bibr" rid="B7">2012</xref>; Shaw et al., <xref ref-type="bibr" rid="B139">2012</xref>; Cleary et al., <xref ref-type="bibr" rid="B22">2013</xref>; Valachovic et al., <xref ref-type="bibr" rid="B149">2013b</xref>; Bauman et al., <xref ref-type="bibr" rid="B5">2014</xref>; Crone et al., <xref ref-type="bibr" rid="B25">2014</xref>; Roach et al., <xref ref-type="bibr" rid="B131">2015</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Blodgett et al., <xref ref-type="bibr" rid="B13">1997</xref>; Filip et al., <xref ref-type="bibr" rid="B38">2002</xref>; Anglberger and Halmschlager, <xref ref-type="bibr" rid="B2">2003</xref>; Thies et al., <xref ref-type="bibr" rid="B144">2006</xref>; Halmschlager and Katzensteiner, <xref ref-type="bibr" rid="B51">2017</xref></td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Thies and Westlind, <xref ref-type="bibr" rid="B145">2005</xref>; Begley et al., <xref ref-type="bibr" rid="B6">2009</xref>; Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref></td>
</tr> <tr>
<td valign="top" align="left" colspan="4" style="border-bottom: thin solid #000000;"><bold>Management of sources of secondary infection</bold></td>
</tr>
<tr>
<td valign="top" align="left">Tree establishment under alternative silvicultural systems</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Ostry, <xref ref-type="bibr" rid="B111">2000</xref>; Katovich et al., <xref ref-type="bibr" rid="B73">2004</xref>; Ferchaw et al., <xref ref-type="bibr" rid="B36">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Ostry, <xref ref-type="bibr" rid="B111">2000</xref>; Katovich et al., <xref ref-type="bibr" rid="B73">2004</xref>; Filip et al., <xref ref-type="bibr" rid="B39">2010</xref>; Ward et al., <xref ref-type="bibr" rid="B152">2010</xref>; Ostry et al., <xref ref-type="bibr" rid="B113">2012</xref>; Ferchaw et al., <xref ref-type="bibr" rid="B36">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Decreased</td>
<td valign="top" align="left">Rosenvald et al., <xref ref-type="bibr" rid="B134">2015</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Filip et al., <xref ref-type="bibr" rid="B39">2010</xref>; Ferchaw et al., <xref ref-type="bibr" rid="B36">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">Canopy cover</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Campbell and Antos, <xref ref-type="bibr" rid="B19">2000</xref>; Ellis et al., <xref ref-type="bibr" rid="B34">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Condeso and Meentemeyer, <xref ref-type="bibr" rid="B23">2007</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Tree density</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Burdon et al., <xref ref-type="bibr" rid="B18">1992</xref>; Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>; Bishaw et al., <xref ref-type="bibr" rid="B12">2003</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">McCracken and Dawson, <xref ref-type="bibr" rid="B91">1998</xref>; Bergdahl et al., <xref ref-type="bibr" rid="B10">2002</xref>; Bishaw et al., <xref ref-type="bibr" rid="B12">2003</xref>; Piirto and Valkonen, <xref ref-type="bibr" rid="B120">2005</xref>; Staudhammer et al., <xref ref-type="bibr" rid="B141">2009</xref>; Dillon et al., <xref ref-type="bibr" rid="B31">2014</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Desprez-Loustau and Wagner, <xref ref-type="bibr" rid="B30">1997</xref>; McCracken and Dawson, <xref ref-type="bibr" rid="B91">1998</xref>; Mattila et al., <xref ref-type="bibr" rid="B89">2001</xref>; Mattila, <xref ref-type="bibr" rid="B88">2002</xref>; Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>; Dillon et al., <xref ref-type="bibr" rid="B31">2014</xref>; Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">No impact</td>
<td valign="top" align="left">Bishaw et al., <xref ref-type="bibr" rid="B12">2003</xref></td>
</tr>
<tr>
<td valign="top" align="left">Thinning</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">van der Kamp, <xref ref-type="bibr" rid="B150">1994</xref>; Robinson, <xref ref-type="bibr" rid="B132">2003</xref>; Baleshta et al., <xref ref-type="bibr" rid="B3">2005</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Hungerford et al., <xref ref-type="bibr" rid="B66">1982</xref>; Harrington et al., <xref ref-type="bibr" rid="B56">1983</xref>; Entry et al., <xref ref-type="bibr" rid="B35">1991</xref>; van der Kamp, <xref ref-type="bibr" rid="B150">1994</xref>; Rosso and Hansen, <xref ref-type="bibr" rid="B135">1998</xref>; Nebeker et al., <xref ref-type="bibr" rid="B104">1999</xref>; Hessburg, <xref ref-type="bibr" rid="B59">2001</xref>; Morrison et al., <xref ref-type="bibr" rid="B101">2001</xref>; Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>; Kaitera, <xref ref-type="bibr" rid="B71">2002</xref>; Pankuch et al., <xref ref-type="bibr" rid="B115">2003</xref>; Robinson, <xref ref-type="bibr" rid="B132">2003</xref>; Thor and Stenlid, <xref ref-type="bibr" rid="B146">2005</xref>; Leak, <xref ref-type="bibr" rid="B78">2006</xref>; Dwyer et al., <xref ref-type="bibr" rid="B33">2007</xref>; Otrosina et al., <xref ref-type="bibr" rid="B114">2007</xref>; Bulman, <xref ref-type="bibr" rid="B16">2008</xref>; Hood and Kimberley, <xref ref-type="bibr" rid="B64">2009</xref>; Oliva et al., <xref ref-type="bibr" rid="B109">2009</xref>; Meadows et al., <xref ref-type="bibr" rid="B94">2013</xref>; Roach et al., <xref ref-type="bibr" rid="B131">2015</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Morrison et al., <xref ref-type="bibr" rid="B101">2001</xref>; Roach et al., <xref ref-type="bibr" rid="B131">2015</xref>; de Urbina et al., <xref ref-type="bibr" rid="B28">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">Increased</td>
<td valign="top" align="left">Amorini et al., <xref ref-type="bibr" rid="B1">2001</xref>; Morrison et al., <xref ref-type="bibr" rid="B101">2001</xref>; Hood and Kimberley, <xref ref-type="bibr" rid="B64">2009</xref>; Meadows et al., <xref ref-type="bibr" rid="B94">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">Diseased tree removal</td>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Decreased</td>
<td valign="top" align="left">Kanaskie et al., <xref ref-type="bibr" rid="B72">2006</xref>; Ganley and Bulman, <xref ref-type="bibr" rid="B41">2016</xref>; Menkis et al., <xref ref-type="bibr" rid="B97">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Decreased</td>
<td valign="top" align="left">Amorini et al., <xref ref-type="bibr" rid="B1">2001</xref>; Greene et al., <xref ref-type="bibr" rid="B46">2008</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Decreased</td>
<td valign="top" align="left">Lavallee, <xref ref-type="bibr" rid="B77">1991</xref></td>
</tr>
<tr>
<td valign="top" align="left">Pruning and coppicing</td>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Hungerford et al., <xref ref-type="bibr" rid="B66">1982</xref>; Chou and MacKenzie, <xref ref-type="bibr" rid="B21">1988</xref>; Hagle and Grasham, <xref ref-type="bibr" rid="B50">1988</xref>; Lavallee, <xref ref-type="bibr" rid="B77">1991</xref>; Madar et al., <xref ref-type="bibr" rid="B85">1991</xref>; Metzler, <xref ref-type="bibr" rid="B98">1997</xref>; Ostry, <xref ref-type="bibr" rid="B111">2000</xref>; Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>; McCracken and Dawson, <xref ref-type="bibr" rid="B92">2003</xref>; Pleysier et al., <xref ref-type="bibr" rid="B122">2006</xref>; Tarigan et al., <xref ref-type="bibr" rid="B143">2011</xref>; Valachovic et al., <xref ref-type="bibr" rid="B147">2013a</xref>; Sakamoto et al., <xref ref-type="bibr" rid="B136">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Varied</td>
<td valign="top" align="left">Ostry, <xref ref-type="bibr" rid="B111">2000</xref>; Martin et al., <xref ref-type="bibr" rid="B86">2005</xref>; Bezos et al., <xref ref-type="bibr" rid="B11">2012</xref>; Sakamoto et al., <xref ref-type="bibr" rid="B136">2016</xref>; de Urbina et al., <xref ref-type="bibr" rid="B28">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">No data</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">Decreased (dependant on species mixture)</td>
<td valign="top" align="left">Heybroek, <xref ref-type="bibr" rid="B60">1982</xref>; Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>; McCracken and Dawson, <xref ref-type="bibr" rid="B90">1997</xref>, <xref ref-type="bibr" rid="B91">1998</xref>; D&#x00027;Souza et al., <xref ref-type="bibr" rid="B32">2004</xref>; Simard et al., <xref ref-type="bibr" rid="B140">2005</xref>; Ramage et al., <xref ref-type="bibr" rid="B127">2012</xref>; Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">Species diversity and mixtures</td>
<td valign="top" align="left">Disease incidence</td>
<td valign="top" align="left">Decreased (dependant on species mixture)</td>
<td valign="top" align="left">Benedict, <xref ref-type="bibr" rid="B9">1981</xref>; Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>; McCracken and Dawson, <xref ref-type="bibr" rid="B90">1997</xref>; Campbell and Antos, <xref ref-type="bibr" rid="B19">2000</xref>; Mattila et al., <xref ref-type="bibr" rid="B89">2001</xref>; Peacock et al., <xref ref-type="bibr" rid="B118">2001</xref>; Bergdahl et al., <xref ref-type="bibr" rid="B10">2002</xref>; Linden and Vollbrecht, <xref ref-type="bibr" rid="B80">2002</xref>; Mattila, <xref ref-type="bibr" rid="B88">2002</xref>; Puddu et al., <xref ref-type="bibr" rid="B126">2003</xref>; Santini et al., <xref ref-type="bibr" rid="B137">2008</xref>; Begley et al., <xref ref-type="bibr" rid="B6">2009</xref>; Oliva et al., <xref ref-type="bibr" rid="B109">2009</xref>; Davidson et al., <xref ref-type="bibr" rid="B27">2011</xref>; Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B48">2016</xref>; Hantsch et al., <xref ref-type="bibr" rid="B55">2013</xref>; Nguyen et al., <xref ref-type="bibr" rid="B106">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Disease severity</td>
<td valign="top" align="left">Decreased (dependant on species mixture)</td>
<td valign="top" align="left">Hantsch et al., <xref ref-type="bibr" rid="B55">2013</xref>, <xref ref-type="bibr" rid="B53">2014a</xref>,<xref ref-type="bibr" rid="B54">b</xref>; Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Recovery</td>
<td valign="top" align="left">Increased (dependant on species mixture)</td>
<td valign="top" align="left">Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>; McCracken et al., <xref ref-type="bibr" rid="B93">2001</xref>; Baleshta et al., <xref ref-type="bibr" rid="B3">2005</xref>; Simard et al., <xref ref-type="bibr" rid="B140">2005</xref>; Begley et al., <xref ref-type="bibr" rid="B6">2009</xref>; Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4">
<title>Identification and Management of Sources of Primary Infection</title>
<p>As explained above, the concept of primary infection [cf. Equation (1)] captures the pathways by which the pathogen enters the forest unit of interest. These primary infections can occur from other forest units, for example by wind or water movement of inoculum, from alternative hosts, by movement on machinery and other human-mediated activities, or by transmission from soil inoculum.</p>
<sec>
<title>Connectivity</title>
<p>The importance of connectivity for the conservation of forest ecosystems at a landscape scale is well-recognized (Lindenmayer et al., <xref ref-type="bibr" rid="B81">2006</xref>). However, connectivity can increase the risk of transmission of infection from one forest patch or unit to another, including from outside the region of interest. For tree pathogens connectivity does not just refer to spatial proximity, but also any connection through which inoculum may spread to a forest unit, such as via streams, wind, fog, animal (e.g., insects, fur, feathers) or human vectors (e.g., vehicles, recreation). The scale at which connectivity is important also varies with dispersal mechanism, and can be large in the case of flying animal and vehicle vectors. These &#x0201C;least cost&#x0201D; (resistance), but not necessarily shortest-distance, pathways have been shown to be important in models accounting for the spread of pathogens (Ellis et al., <xref ref-type="bibr" rid="B34">2010</xref>).</p>
<p>The impacts of connectivity on tree diseases have predominantly been studied in coastal forests of California and Oregon (USA). Total forest area within a landscape, correlated with connectivity, predicted increases in incidence (Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>) and severity of <italic>P. ramorum</italic> in <italic>Notholithocarpus densiflorus</italic> (tanoak) (Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>) and <italic>Umbellularia californica</italic> (California bay laurel) (Condeso and Meentemeyer, <xref ref-type="bibr" rid="B23">2007</xref>; Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>,<xref ref-type="bibr" rid="B96">b</xref>; Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>). Disease was considered only in these species because they represent the most prevalent hosts for <italic>P. ramorum</italic> within this landscape. <italic>Phytophthora ramorum</italic> incidence increased closer to streams in one site, suggesting that streams are also an important connectivity pathway for dispersal of this pathogen, though this relationship appears to depend on site topography and fog movement (Peterson et al., <xref ref-type="bibr" rid="B119">2014</xref>). Connectivity through human vectors was related to higher concentrations of <italic>P. ramorum</italic> being isolated in soil from sites surrounded by larger human populations (Cushman and Meentemeyer, <xref ref-type="bibr" rid="B26">2008</xref>), and increased mortality of <italic>Chamaecyparis lawsoniana</italic> (Port Orford cedar) caused by <italic>Phytophthora lateralis</italic> was found in sites intersected by a road (Jules et al., <xref ref-type="bibr" rid="B70">2002</xref>). <italic>Phytophthora lateralis</italic> has been isolated from water used to wash vehicles and boots, providing further evidence of the importance of human vectors to the spread of this pathogen (Goheen et al., <xref ref-type="bibr" rid="B45">2012</xref>). Within California and Oregon coastal forests, black stain root disease (<italic>Leptographium wageneri</italic>) is also concentrated at the roadside (Hessburg, <xref ref-type="bibr" rid="B59">2001</xref>).</p>
<p>Forest connectivity via spatial proximity (Condeso and Meentemeyer, <xref ref-type="bibr" rid="B23">2007</xref>; Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>; Ellis et al., <xref ref-type="bibr" rid="B34">2010</xref>; Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>), streams (Peterson et al., <xref ref-type="bibr" rid="B119">2014</xref>; Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref>), or roads (Hessburg, <xref ref-type="bibr" rid="B59">2001</xref>; Jules et al., <xref ref-type="bibr" rid="B70">2002</xref>; Goheen et al., <xref ref-type="bibr" rid="B45">2012</xref>) shows a consistent positive relationship with disease incidence and severity compared with less well-connected forests. However, the limited geographical range of these studies and their predominant focus on pathogen spread through soil restricts their applicability to other systems. There is also little mention of the effect of land cover in the matrix between forest patches that could affect pathogen dispersal. When addressing the increased risk of pathogen infection due to high connectivity, forest managers must also balance the extensive benefits that connected forests can have for biodiversity and some ecosystem services against increased vulnerability to disease (Lindenmayer et al., <xref ref-type="bibr" rid="B81">2006</xref>). Future studies should identify and quantify pathogen transmission along different types of pathway connecting forest units and via different vectors in order to assess risks. This should help selection of management strategies to reduce the risk of primary infection of forest units.</p>
</sec>
<sec>
<title>Previous Land Use</title>
<p>Many tree pathogens, in particular root rots, can persist in soils following tree felling. Siting new plantations on previously forested sites may therefore increase the risk of infection due to high inoculum load in the soil. Here the soil acts as an &#x0201C;external&#x0201D; reservoir of inoculum for primary infection to initiate an epidemic in a newly planted tree population. However, research into the effects of previous land use is limited, due to the relative rarity of studies into forests established on previously non-forest land.</p>
<p>Naturally occurring <italic>U. californica</italic> trees on former grassland sites within <italic>Quercus</italic> forests in northern California had lower incidence of <italic>P. ramorum</italic> than <italic>U. californica</italic> growing in long-term forest areas (Meentemeyer et al., <xref ref-type="bibr" rid="B95">2008a</xref>). However, this relationship was not reflected in Italian <italic>Abies alba</italic> (silver fir) plantations, where <italic>Heterobasidion annosum</italic> infection rate was significantly higher in forests established on former pastureland. Although <italic>A. alba</italic> planted on former pastureland was expected to be exposed to lower inoculum load, these trees were less healthy due to exposure to adverse environmental conditions resulting from previous intensive land use, potentially increasing susceptibility to disease (Puddu et al., <xref ref-type="bibr" rid="B126">2003</xref>).</p>
<p>While previous land use could be expected to affect forest resilience to tree diseases, research on this is rare, and the findings amongst published studies are not consistent. This is likely to be due to the large variation in previous land use types, and particulars of previous land management, amongst the studies. However, such research is likely to increase in relevance for rotational forest systems, where the previous species planted in the unit may be considered. In some countries, including the UK, new forests are also being planted on land not forested in recent history in order to increase carbon capture in response to climate change, and natural tree regeneration is occurring due to abandonment of agricultural land (Poyatos et al., <xref ref-type="bibr" rid="B124">2002</xref>).</p>
</sec>
<sec>
<title>Site Preparation</title>
<p>Site preparation methods can either introduce pathogens into an area where they were not previously found or reduce forest resistance to primary infection and hence increase the initiation of local disease spread. Previously felled sites contain remnant stumps, root fragments and brash, which may be a source of primary infection through spread of pathogens over time (from a previous tree population to a new one). Nonetheless, stumps resulting from thinning or partial cutting can also act as a source of secondary infection within the current tree population. Although this coarse woody debris is important for forest biodiversity more generally (Hartley, <xref ref-type="bibr" rid="B57">2002</xref>), it acts as a reservoir for many pests and pathogens, increasing exposure of newly established trees to inoculum. Stumps can also provide a nutrient source for inoculum of pathogens with saprotrophic activity. In response to this risk, site preparation may include stump removal or chemical treatment, in some cases accompanied by removal of part of the root system through raking. The origin of stumps can also be important for identifying the risks posed, with clearcut stumps having lower infection rates than stumps resulting from thinning (Bendz-Hellgren and Stenlid, <xref ref-type="bibr" rid="B8">1998</xref>). Burning presents an alternative option to remove woody debris or reduce pathogen survival, but has other risks and environmental costs, such as to habitat quality or native fauna, or it can in fact increase disease incidence in the case of <italic>Rhizina undulata</italic> (Wingfield and Swart, <xref ref-type="bibr" rid="B158">1994</xref>). In some cases site preparation also includes application of fertilizer, which may reduce impacts of pathogens on tree health through increasing tree nutrient concentrations, especially of calcium and magnesium (Anglberger and Halmschlager, <xref ref-type="bibr" rid="B2">2003</xref>; Halmschlager and Katzensteiner, <xref ref-type="bibr" rid="B51">2017</xref>). However, fertilizer application (especially of nitrogen and phosphorus) that increases tree growth rate can lead to nutrient inbalances that increase susceptibility to pathogens (Jactel et al., <xref ref-type="bibr" rid="B69">2009</xref>).</p>
<p>Root rots have the highest potential for management through stump treatment and have unsurprisingly been the subject of the greatest number of studies. Methods of stump treatment may be physical or chemical. Infection of forest stands by <italic>H. annosum</italic> has long been known to be increased by any tree felling resulting in cut stumps that are susceptible to colonization from air-borne basidiospores (Woodward et al., <xref ref-type="bibr" rid="B159">1998</xref>). The most extensive study of stump removal incorporated five sites from Canada and Scandinavia subject to infection by the conifer root rot pathogens <italic>H. annosum</italic> sensu lato (<italic>s.l</italic>.), <italic>Armillaria ostoyae</italic> and laminated root rot (<italic>Phellinus sulphurascens</italic>). The severity of infection and its contribution to mortality were monitored in stands that had been subject to removal of stumps, either as part of the whole tree or in a separate operation following felling, with raking to remove larger roots occurring in one site, compared with controls where no stump removal took place (Cleary et al., <xref ref-type="bibr" rid="B22">2013</xref>). Stump removal was clearly associated with reduced disease incidence and tree mortality up to 21&#x02013;50 years after treatment. One of these sites was then studied in more detail by Morrison et al. (<xref ref-type="bibr" rid="B100">2014</xref>), who confirmed that over 40 years after treatment, stump removal had reduced the rate of mortality in the next rotation of trees by 14% across all species. Notably, for <italic>Pseudotsuga menziesii</italic> (Douglas fir), <italic>Pinus contorta</italic> var. <italic>latifolia</italic> (lodgepole pine), <italic>Larix occidentalis</italic> (western larch), <italic>Thuja plicata</italic> (western red cedar), and <italic>Picea engelmannii</italic> (Engelmann spruce), stump removal reduced the mortality rate due to <italic>A. ostoyae</italic> and completely eliminated the occurrence of mortality in <italic>P. menziesii</italic> due to <italic>P. sulphurascens</italic>. These findings support those of a previous study of <italic>P. menziesii</italic> further south in Washington State and Oregon, where mortality due to <italic>P. sulphurascens</italic> was significantly reduced by pre-planting stump removal (Thies and Westlind, <xref ref-type="bibr" rid="B145">2005</xref>).</p>
<p>There has been a long history of incidence of <italic>H. annosum</italic> in the plantations of <italic>Pinus sylvestris</italic> (Scots pine) and <italic>Pinus nigra</italic> ssp. <italic>laricio</italic> (Corsican pine) in Thetford Forest, UK. A series of experiments showed that colonization of stumps by air-borne basidiospores of <italic>H. annosum</italic> can be greatly reduced by stump treatment with spores of <italic>Phlebiopsis gigantea</italic>, a non-pathogenic basidiomycete. However, a series of long-term experiments have shown that only stump removal achieves adequate reduction in mortality into the second plantation rotation (Gibbs et al., <xref ref-type="bibr" rid="B44">2002</xref>). The importance of removing stumps was further supported in studies of <italic>P. sylvestris</italic> infected by <italic>H. annosum</italic> in Sweden, where infection rate was higher in trees closer to infected stumps (Swedjemark and Stenlid, <xref ref-type="bibr" rid="B142">1993</xref>). In contrast, in New Zealand <italic>Pinus radiata</italic> plantations infected by <italic>Armillaria novae-zelandiae</italic>, while inoculum load in stumps was high, this did not lead to greater infection within the forest after 19 years compared with forests where stumps were removed (Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>; Hood and Kimberley, <xref ref-type="bibr" rid="B64">2009</xref>).</p>
<p>In addition to retained stumps, root fragments from felled trees can act as reservoirs of pathogen inoculum. Few studies have reported beneficial effects of root removal, although Shaw et al. (<xref ref-type="bibr" rid="B139">2012</xref>) found that greater intensity or thoroughness of removal of roots that acted as a source of <italic>A. ostoyae</italic> inoculum did significantly reduce the incidence of infection and resultant mortality in <italic>Pinus ponderosa</italic> after 35 years, though the study concluded that its benefits are unlikely to exceed its costs. In contrast, several studies have reported increases in infection following root removal. Negative impacts of mechanical root removal treatments can occur through increasing the dispersal of pathogen inoculum. Root raking has been found to move infected root fragments closer to the soil surface, although this was not associated with increased infection rates (Morrison et al., <xref ref-type="bibr" rid="B102">1988</xref>, <xref ref-type="bibr" rid="B100">2014</xref>). The incidence of western gall rust was found to be positively associated with sites that had undergone a variety of methods of mechanical site preparation to disrupt slash, forest floor and mineral soil layers, compared with control sites (Roach et al., <xref ref-type="bibr" rid="B131">2015</xref>). Similar results were observed in <italic>Castanea dentata</italic> (American chestnut) infected by chestnut blight (<italic>Cryphonectria parasitica</italic>). In a study of plantations on reclaimed mine land in Ohio, USA, the site preparation treatments of deep ripping to 1 m depth resulted in a higher incidence of chestnut blight cankers on seedlings than in those plots plowed and disked to 30 cm depth, though this still exceeded the incidence of cankers for trees in control plots (Bauman et al., <xref ref-type="bibr" rid="B5">2014</xref>).</p>
<p>Prescribed or natural fire reduces pre-planting inoculum load through either burning of stumps, root fragments and woody debris, or through killing of the pathogen due to high temperatures. However, results from burning are not consistent. Naturally occurring fires in Californian coastal redwood and mixed-evergreen forests led to reduced isolation rates of <italic>P. ramorum</italic> in symptomatic trees for 1 and 2 years following fire, however incidence of the pathogen increased by the second year, associated with the number of surviving symptomatic <italic>U. californica</italic> trees which acted as an inoculum reservoir (Beh et al., <xref ref-type="bibr" rid="B7">2012</xref>). A prescribed burn treatment in a <italic>Pinus palustris</italic> (longleaf pine) forest in South Carolina, USA, was associated with increased mortality through <italic>H. annosum</italic> after 8&#x02013;10 years, linked to reductions in tree health caused by the fire (Cram et al., <xref ref-type="bibr" rid="B24">2010</xref>). Varied burning regimes in conifer forests in Ontario, Canada, had no impact on <italic>Armillaria</italic> sp. root rot (Whitney and Irwin, <xref ref-type="bibr" rid="B155">2005</xref>).</p>
<p>Fertilizer application has mixed impacts on disease severity. Increased damage by twisting rust fungus (<italic>Melampsora pinitorqua</italic>) was found on <italic>Pinus pinaster</italic> (maritime pine) that had been fertilized with phosphorus compared with no fertilizer controls (Desprez-Loustau et al., <xref ref-type="bibr" rid="B29">2016</xref>). However, fertilization of <italic>Picea abies</italic> (Norway spruce) did show a reduction in severity of infection by <italic>Sirococcus</italic> shoot blight (<italic>Sirococcus conigenus</italic>), linked to improved tree health (Anglberger and Halmschlager, <xref ref-type="bibr" rid="B2">2003</xref>; Halmschlager and Katzensteiner, <xref ref-type="bibr" rid="B51">2017</xref>). In <italic>P. menziesii</italic> seedlings fertilization with potassium and nitrogen had no impact on mortality due tolaminated root rot (<italic>Phellinus weirii</italic>) (Thies et al., <xref ref-type="bibr" rid="B144">2006</xref>), and potassium, nitrogen and sulfur fertilizers had no impact on <italic>Armillaria</italic> spp. root disease in mixed conifer forests in Oregon (Filip et al., <xref ref-type="bibr" rid="B38">2002</xref>).</p>
<p>Overall, removal or treatment of tree stumps as a source or receptor of pathogen inoculum has a positive effect on forest resilience to tree disease, through reduced infection of trees retained on the site or newly planted trees. However, studies are concentrated on root rots. Stumps, and other dead wood material, are also known to be important in survival of populations of a number of invertebrate forest pests, and there is an evidence gap about their significance as a source of inoculum of a wider range of pathogens with airborne spores that infect the shoots of trees. We found that studies of root fragment removal and burning give more mixed results and are under-researched. A future research priority is to assess the trade-offs between reducing inoculum levels using such treatments and the damage they cause to retained trees (e.g., through wounding), which can increase their susceptibility to infection.</p>
</sec>
</sec>
<sec id="s5">
<title>Management of Sources of Secondary Infection</title>
<p>Secondary infection [cf. Equation (1)] refers to transmission of a pathogen between trees within a region of interest (forest unit). Secondary infection therefore captures the direct transmission component of epidemics that depends upon the number of currently infected individuals. Although this typically relates to an outbreak situation between trees of a similar age, of particular concern for forest management is secondary infection from mature trees to seedlings, often planted to form the crop in the next forest rotation. Actions that increase environmental stress on a tree, thus reducing its vigor, are also likely to increase the rate of secondary infection.</p>
<sec>
<title>Tree Species Mixture and Diversity</title>
<p>Effects of tree species mixture, i.e., planting two or more species rather than a monoculture, or increasing tree species diversity, i.e., through the number of species planted together or as an indirect result of other silvicultural actions, on forest resilience to tree diseases have been extensively studied, with good coverage of both tree and pathogen species in sites across Europe and North America. Tree species diversity effects have been the subject of recent review papers. These recognize that greater diversity is associated with decreased tree mortality caused by pests and pathogens, identifying reduced access to hosts and increased distance between hosts as potential mechanisms for reducing secondary transmission as an epidemic progresses (Pautasso et al., <xref ref-type="bibr" rid="B117">2005</xref>; Bauhus et al., <xref ref-type="bibr" rid="B4">2017</xref>; Jactel et al., <xref ref-type="bibr" rid="B68">2017</xref>; Prospero and Cleary, <xref ref-type="bibr" rid="B125">2017</xref>), as well as potentially providing habitat for more species that deliver natural biocontrol (Bauhus et al., <xref ref-type="bibr" rid="B4">2017</xref>). However, such results may be context-specific (Heybroek, <xref ref-type="bibr" rid="B60">1982</xref>), and depend on whether the invading pathogen is a host specialist or generalist. We have included within this section observational studies of variation in pathogen incidence with tree species diversity as well as experimental studies with species mixtures. Their coverage is summarized in more detail in <xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T3">3</xref>. Provenance and breeding of trees for resistance is also an important aspect of forest resilience to tree pathogens, but was outside the scope of this review.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Summary of studies in tree species diversity/mixture effects.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Pathogen</bold></th>
<th valign="top" align="left"><bold>Tree species</bold></th>
<th valign="top" align="left"><bold>Location</bold></th>
<th valign="top" align="left"><bold>Diversity measure</bold></th>
<th valign="top" align="center"><bold>Planted tree species mixture considered?</bold></th>
<th valign="top" align="left"><bold>Effect</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">General disease</td>
<td valign="top" align="left">General forest</td>
<td valign="top" align="left">Europe (multiple locations)</td>
<td valign="top" align="left">Forest tree diversity</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Reduced disease incidence</td>
<td valign="top" align="left">Nguyen et al., <xref ref-type="bibr" rid="B107">2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fungal infections</td>
<td valign="top" align="left">Broadleaf</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Species richness</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Reduced disease incidence in most susceptible species</td>
<td valign="top" align="left">Hantsch et al., <xref ref-type="bibr" rid="B53">2014a</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Fusarium</italic> sp. canker</td>
<td valign="top" align="left">Sugar maple</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Tree diversity</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Reduced disease incidence</td>
<td valign="top" align="left">Bergdahl et al., <xref ref-type="bibr" rid="B10">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>P. ramorum</italic></td>
<td valign="top" align="left">Oak forest</td>
<td valign="top" align="left">California</td>
<td valign="top" align="left">Species richness</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Reduced disease incidence</td>
<td valign="top" align="left">Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B48">2016</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>P. ramorum</italic></td>
<td valign="top" align="left">Douglas fir</td>
<td valign="top" align="left">California</td>
<td valign="top" align="left">Tree diversity</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Reduced mortality</td>
<td valign="top" align="left">Ramage et al., <xref ref-type="bibr" rid="B127">2012</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Armillaria</italic> sp.</td>
<td valign="top" align="left">Silver fir</td>
<td valign="top" align="left">Spain and Italy</td>
<td valign="top" align="left">Pure vs mixed stands</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">Increased isolation of pathogen from soil in mixed stands</td>
<td valign="top" align="left">Oliva et al., <xref ref-type="bibr" rid="B109">2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">Root rot</td>
<td valign="top" align="left">Lodgepole pine</td>
<td valign="top" align="left">British Columbia, Canada</td>
<td valign="top" align="left">Mixtures containing cedar and birch</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Reduced mortality</td>
<td valign="top" align="left">Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">Root rot</td>
<td valign="top" align="left">Lodgepole pine</td>
<td valign="top" align="left">British Columbia, Canada</td>
<td valign="top" align="left">Mixtures containing Douglas fir</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased mortality</td>
<td valign="top" align="left">Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>P. cinnamomi</italic></td>
<td valign="top" align="left">Eucalyptus</td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left">Mixture containing <italic>Acacia pulchella</italic></td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Reduced mortality (not seen with other <italic>Acacia</italic> species)</td>
<td valign="top" align="left">D&#x00027;Souza et al., <xref ref-type="bibr" rid="B32">2004</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>H. annosum</italic></td>
<td valign="top" align="left">Norway spruce</td>
<td valign="top" align="left">Norway</td>
<td valign="top" align="left">Mixture containing Scots pine</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Reduced disease incidence</td>
<td valign="top" align="left">Linden and Vollbrecht, <xref ref-type="bibr" rid="B80">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fungal infection</td>
<td valign="top" align="left"><italic>Tilia cordata</italic></td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Mixture containing Scots pine</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Reduced disease incidence</td>
<td valign="top" align="left">Hantsch et al., <xref ref-type="bibr" rid="B53">2014a</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fungal infection</td>
<td valign="top" align="left"><italic>Quercus petraea</italic></td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Mixture containing Norway spruce</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased pathogen load</td>
<td valign="top" align="left">Hantsch et al., <xref ref-type="bibr" rid="B53">2014a</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fungal infection</td>
<td valign="top" align="left"><italic>Tilia cordata</italic></td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Mixture containing European beech</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased pathogen load</td>
<td valign="top" align="left">Hantsch et al., <xref ref-type="bibr" rid="B53">2014a</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ash dieback</td>
<td valign="top" align="left">Ash</td>
<td valign="top" align="left">Czech Republic</td>
<td valign="top" align="left">Mixture containing <italic>Abies</italic> and <italic>Acer</italic> species</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Reduced disease severity at stand level</td>
<td valign="top" align="left">Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ash dieback</td>
<td valign="top" align="left">Ash</td>
<td valign="top" align="left">Czech Republic</td>
<td valign="top" align="left">Mixture containing oak species</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased disease severity at stand level</td>
<td valign="top" align="left">Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Armillaria</italic> root rot</td>
<td valign="top" align="left">Douglas fir</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Mixture containing conifers</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased mortality</td>
<td valign="top" align="left">Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Armillaria</italic> root rot</td>
<td valign="top" align="left">Douglas fir</td>
<td valign="top" align="left">British Columbia, Canada</td>
<td valign="top" align="left">Mixture containing conifers</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased mortality</td>
<td valign="top" align="left">Baleshta et al., <xref ref-type="bibr" rid="B3">2005</xref>; Simard et al., <xref ref-type="bibr" rid="B140">2005</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Melamspora pinitorqua</italic></td>
<td valign="top" align="left">Scots pine</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Mixture containing aspen and willow</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased disease incidence</td>
<td valign="top" align="left">Mattila et al., <xref ref-type="bibr" rid="B89">2001</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>M. pinitorqua</italic></td>
<td valign="top" align="left">Scots pine</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Mixture containing aspen</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased mortality</td>
<td valign="top" align="left">Mattila, <xref ref-type="bibr" rid="B88">2002</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fungal infection</td>
<td valign="top" align="left">Mixed forest</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Mixture containing <italic>Qurecus petraea</italic></td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased pathogen load</td>
<td valign="top" align="left">Hantsch et al., <xref ref-type="bibr" rid="B55">2013</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Melamspora epitea</italic></td>
<td valign="top" align="left">Willow</td>
<td valign="top" align="left">Ireland</td>
<td valign="top" align="left">Clone diversity</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Reduced mortality for most susceptible clones</td>
<td valign="top" align="left">McCracken and Dawson, <xref ref-type="bibr" rid="B91">1998</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>M. epitea</italic></td>
<td valign="top" align="left">Willow</td>
<td valign="top" align="left">Ireland</td>
<td valign="top" align="left">Clone diversity</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Later disease onset within stands under 4 years old</td>
<td valign="top" align="left">McCracken and Dawson, <xref ref-type="bibr" rid="B90">1997</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>M. epitea</italic></td>
<td valign="top" align="left">Willow</td>
<td valign="top" align="left">Northern Ireland</td>
<td valign="top" align="left">Clone diversity</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">Increased growth rate</td>
<td valign="top" align="left">McCracken et al., <xref ref-type="bibr" rid="B93">2001</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>M. epitea</italic></td>
<td valign="top" align="left">Willow</td>
<td valign="top" align="left">Northern Ireland</td>
<td valign="top" align="left">Clone diversity</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">No change in mortality, but higher growth in the first 3 year harvest cycle</td>
<td valign="top" align="left">Begley et al., <xref ref-type="bibr" rid="B6">2009</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<p>There is general agreement across studies that increases in tree species diversity are associated with an increase in forest resilience with respect to invasive pathogens. In sites across Europe, more diverse forests were associated with lower levels of disease incidence (Nguyen et al., <xref ref-type="bibr" rid="B107">2017</xref>). These findings are supported by experimental units of broadleaf trees in Germany, where fungal infections of the most susceptible tree species were reduced as species diversity increased (Hantsch et al., <xref ref-type="bibr" rid="B53">2014a</xref>). This pattern was also recorded in studies in North America, where higher tree diversity was associated with lower occurrence of <italic>Fusarium</italic> sp. canker in <italic>Acer saccharum</italic> (sugar maple; Bergdahl et al., <xref ref-type="bibr" rid="B10">2002</xref>), and higher tree species diversity was linked to a lower incidence of <italic>P. ramorum</italic> in Californian oak forests (Haas et al., <xref ref-type="bibr" rid="B49">2011</xref>, <xref ref-type="bibr" rid="B48">2016</xref>). Stands with higher tree diversity were also found to have lower mortality rates of <italic>P. menziesii</italic> caused by <italic>P. ramourm</italic> (Ramage et al., <xref ref-type="bibr" rid="B127">2012</xref>). In an experiment in Germany, planted with individual tree-scale species combinations in 5 &#x000D7; 5 m plots, high tree species diversity in the same plot reduced the amounts of fungal infection in trees of <italic>Quercus petraea</italic> (sessile oak; Hantsch et al., <xref ref-type="bibr" rid="B53">2014a</xref>). Only a single study contradicted these results, showing in Spain and Italy that <italic>Armillaria</italic> spp. presence and abundance in pure <italic>A. alba</italic> stands was lower than in mixed-species stands (Oliva et al., <xref ref-type="bibr" rid="B109">2009</xref>).</p>
<p>Diversity amongst clones in monocultures can also affect resilience to tree disease. Willow rust (<italic>Melampsora epitea)</italic> causes decline in many short rotation <italic>Salix</italic> spp. (willow) crops. In an experiment in Northern Ireland, UK, McCracken and Dawson (<xref ref-type="bibr" rid="B91">1998</xref>) found that increasing the diversity of clones reduced mortality due to rust in the most susceptible clones only, but no further improvements in survival were seen when moving from 5- to 20-clone mixtures. Mixed-clone sites were also found to have later onset of disease during the first 4 years of growth, but showed no difference after this time (McCracken and Dawson, <xref ref-type="bibr" rid="B90">1997</xref>). However, following observations of a subsequent experiment over two 3-year harvesting cycles, Begley et al. (<xref ref-type="bibr" rid="B6">2009</xref>) found no consistent effects of mixtures on reducing <italic>M. epitea</italic> on the most susceptible <italic>Salix</italic> genotype. They concluded that any benefit of mixture planting will be dependent on there being sufficient genetic diversity between the genotypes.</p>
<p>An important mechanism cited for the benefit of species mixture is the dilution of trees of species susceptible to a given pathogen by individuals of non-host species. However, experimental results of this effect are variable, and the specific composition of species in a mixture is found to be important. In an experimental study in Minnesota with seedlings of six conifer and four hardwood tree species planted in three mixtures differing in the proportion of individual tree species, the relative proportion of susceptible conifers or resistant broadleaves had a significant effect on mortality associated with <italic>Armillaria</italic> sp. root infection (Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>). These findings were supported by longer-term experiments in British Columbia, in which <italic>P. contorta</italic> var. <italic>latifolia</italic> had lower mortality, due predominantly to <italic>A. ostoyae</italic>, when grown in mixture with <italic>Betula papyrifera</italic> (paper birch) and <italic>T. plicata</italic> both of which have low susceptibility to this pathogen (Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref>). However, no benefit was found when growing it in mixture with the highly susceptible host species <italic>P. menziesii</italic>. In contrast, for 30-year-old <italic>P. menziesii</italic> no reduction in root pathogen-caused mortality rate was found from growing it in mixture with non-host species. Also in British Columbia, experimental removal of naturally regenerated broadleaves <italic>B. papyrifera</italic> and <italic>Populus tremuloides</italic> (quaking aspen) generally caused a 1.5- to 4-fold increase in mortality of planted <italic>P. menziesii</italic> for 3&#x02013;5 years due to <italic>A. ostoyae</italic> infection, though the effect depended on removal method (Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>; Baleshta et al., <xref ref-type="bibr" rid="B3">2005</xref>; Simard et al., <xref ref-type="bibr" rid="B140">2005</xref>). In Southwest Lapland and in North Karelia, Finland, modeling of observational data showed that the incidence of <italic>M. pinitorqua</italic> on young <italic>P. sylvestris</italic> was greater in the presence of both <italic>Populus tremula</italic> (aspen, also a host species), and <italic>Salix</italic> spp. (willows, not known to be host species but said to be indicators of higher soil moisture and fertility) (Mattila et al., <xref ref-type="bibr" rid="B89">2001</xref>; Mattila, <xref ref-type="bibr" rid="B88">2002</xref>).</p>
<p>There is variation amongst conifer species in their susceptibility to <italic>H. annosum</italic> butt rot, and in southern Sweden the presence of less susceptible <italic>P. sylvestris</italic> was found to decrease the incidence of this pathogen in trees of the more susceptible <italic>P. abies</italic> (Linden and Vollbrecht, <xref ref-type="bibr" rid="B80">2002</xref>). This effect increased notably up to a relative abundance of 50% of <italic>P. sylvestris</italic> but not above that proportion. Experimental plantings in Germany showed that, overall, tree species diversity in mixtures of 30 mono-specific 8 &#x000D7; 8 m sub-plots reduced the level of foliar pathogen infestation of susceptible <italic>Quercus</italic> spp. by <italic>Erysiphe alphitoides</italic> and <italic>E. hypophylla</italic> (powdery mildew) at the plot level (Hantsch et al., <xref ref-type="bibr" rid="B55">2013</xref>). The presence of the highly susceptible <italic>Quercus</italic> spp. increased the plot-level pathogen load but resistant species such as <italic>P. abies</italic> decreased it.</p>
<p>Variation in the impacts of tree diversity on resistance to tree pathogens is likely related to tree species identity in the same forest unit (on a scale from individual adjacent trees up to ca. 50 m), with tree characteristics beyond simply host or non-host being important. Indeed, this may also be the main driver of any detected effects of species diversity within forest stands. Severity of infection of <italic>Fraxinus</italic> spp. to the pathogen <italic>H. fraxineus</italic> was highest in the presence of <italic>Quercus robur</italic> (pedunculate oak) and lowest in the presence of <italic>Acer</italic> spp. and <italic>Abies</italic> spp., both non-hosts. However, this result from an observational study of forests across the Czech Republic does not prove causation by the tree species themselves, but may be linked to variation in site environments (Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref>). In the rigorously-designed planted experiment studied by Hantsch et al. (<xref ref-type="bibr" rid="B55">2013</xref>), for trees of <italic>Tilia cordata</italic> (small-leaved lime) both fungal species richness and infestation level (predominantly of <italic>Passalora microsora</italic> and <italic>Asteromella tiliae</italic>) were reduced by tree diversity in the plot. For non-host tree species the effect of their proportion in the plot on infestation level in <italic>T. cordata</italic> varied from significantly positive (for <italic>Fagus sylvatica</italic>, European beech) to negative (for <italic>P. sylvestris</italic> and in some years for <italic>P. abies</italic>). Similarly, infestation of the leaves of <italic>Q. petraea</italic> increased with the proportion of <italic>Fraxinus excelsior</italic> (European ash) in the plot and decreased with <italic>P. abies</italic>. In a rehabilitated bauxite mine site in Western Australia, experimental mixed planting with non-host species reduced mortality of the susceptible host tree species <italic>Banksia grandis</italic> caused by soil inoculation with the pathogen <italic>Phytophthora cinnamomi</italic> only when grown in mixture with <italic>Acacia pulchella</italic>, but not with four other non-host <italic>Acacia</italic> species (D&#x00027;Souza et al., <xref ref-type="bibr" rid="B32">2004</xref>). The mechanism was suggested to be that mixture with <italic>A. pulchella</italic> reduced the soil inoculum level. These results provide strong evidence of the importance of tree species-identity effects.</p>
<p>In general, higher tree diversity improves forest resilience to tree diseases. However, a major mechanism in this effect has been found to be linked to the identity of the tree species present (i.e., species composition). Highly susceptible species show the largest reductions in pathogen presence and impact with increases in tree diversity. There is also evidence that greater benefit for such susceptible tree species can be obtained if they are mixed with trees not susceptible to the pathogen. It is important that future experiments are designed in a way that allows separation of effects due to species identity from those due to species diversity <italic>per se</italic> through careful consideration of species and mixtures tested. There would also be benefit in future studies determining the role of alternative mechanisms causing species mixture or diversity effects on pathogen infection, such as relative levels of inter- and intra-specific competition and their impacts on tree condition. While the resilience of mixed-species forests to individual host-specific tree pathogens may increase at the whole-forest ecosystem scale, the sum of components of these ecosystems are vulnerable to a larger number of tree pathogens than is the case for single-species forests. More work needs to be done to understand how the dynamics of different classes of pathogen affect the trade-off associated with the epidemiological risks and benefits of mixed cropping at different scales. Mixed-species forests generally increase the costs and complexity of management. Therefore, in reaching evidence-based forest management decisions, biological, and ecological considerations need to be combined with economic analysis that explicitly considers the multiple costs and benefits over time of alternative management responses to invasive pathogens.</p>
</sec>
<sec>
<title>Tree Establishment Under Different Silvicultural Systems</title>
<p>For many tree species, planting or natural regeneration under shelterwood leads to better establishment than in open conditions (e.g., after clearcutting; Raymond and B&#x000E9;dard, <xref ref-type="bibr" rid="B128">2017</xref>). This form of silviculture can also be beneficial for plant (Hannerz and Hanell, <xref ref-type="bibr" rid="B52">1997</xref>) and bird (King and DeGraaf, <xref ref-type="bibr" rid="B74">2000</xref>) biodiversity. Increased vigor of trees grown in shelterwood sites may increase resistance to tree disease, however the retained canopy trees may also act as a source of inoculum.</p>
<p>Across studies, the relative incidence of pathogen infection between shelterwood and clearcut sites shows high variation even within sites, and between tree and pathogen species. In study locations across the USA, <italic>Pinus strobus</italic> (eastern white pine) experienced either increase (Ostry, <xref ref-type="bibr" rid="B111">2000</xref>), decrease (Katovich et al., <xref ref-type="bibr" rid="B73">2004</xref>) or no change (Katovich et al., <xref ref-type="bibr" rid="B73">2004</xref>) in incidence of <italic>C. ribicola</italic> when grown in shelterwood compared with clearcut sites. Across the same locations, <italic>Armillaria</italic> sp. root rot of <italic>P. strobus</italic> was less common in shelterwood than in clearcut sites (Ostry, <xref ref-type="bibr" rid="B111">2000</xref>). A history of clearcutting increased the incidence of <italic>Neonectria ditissima</italic> in trees of <italic>Betula</italic> spp. (birch; Ward et al., <xref ref-type="bibr" rid="B152">2010</xref>).</p>
<p>Amongst selection or retention systems, the size of felling gap has been suggested to influence forest resilience to tree diseases, but it is acknowledged that this varies with tree and pathogen species. The most rigorous experimental study was carried out in a pine forest in Minnesota (USA), in which <italic>Pinus resinosa, P. strobus</italic>, and <italic>P. banksiana</italic> (red, eastern white and jack pine) were planted within felling gaps of 0.3 and 0.1 ha, within plots with evenly-spaced retained overstorey trees or in an unfelled control. Incidence of shoot blight (predominantly <italic>Diplodia pinea</italic>) in dead seedlings was significantly less in the 0.3 ha gap treatment than in the control for both <italic>P. strobus</italic> and <italic>P. banksiana</italic>, but not for <italic>P. resinosa</italic>. In contrast, <italic>Armillaria solidipes</italic> incidence was significantly greater in one or both of the two gap sizes than the control for all three tree species. Gall rust (likely caused by <italic>Cronartium quercuum</italic> f. sp. <italic>banksianae</italic>) was observed only in <italic>P. banksiana</italic>, and its incidence was significantly greater in the small gaps than the control (Ostry et al., <xref ref-type="bibr" rid="B113">2012</xref>). In no cases were any significant differences in pathogen incidence found amongst the two gap sizes and the evenly-spaced retention systems. Similar variability in response to silvicultural treatments was seen in an experimental study of <italic>Pinus radiata</italic> (Monterey pine) forest infected by <italic>Fusarium circinatum</italic> (a causal organism of pitch canker) in California. Here, incidence of the disease was greater in seedlings growing in intermediate-size (0.10 ha) gaps than in smaller (0.05 ha) or larger (0.20 ha) gaps (Ferchaw et al., <xref ref-type="bibr" rid="B36">2013</xref>). However, gap size was not found to affect the odds of seedling survival. Tree position with respect to a long-term forest edge has been found to influence crown dieback caused by the pathogen <italic>H. fraxineus</italic> in retained trees of <italic>F. excelsior</italic> in an observational study following a tree harvest in Estonia (Rosenvald et al., <xref ref-type="bibr" rid="B134">2015</xref>). The level of dieback and mortality resulting from <italic>H. fraxineus</italic> was less for trees adjacent to the pre-existing forest edge than those in the center of the harvest gap. Such effects of tree position need to be considered in studies of other pathogens and locations.</p>
<p>Understanding of the impacts of the range of alternative silvicultural systems on forest resilience to tree diseases is poor, with relatively few studies. It is not surprising that the available evidence shows little consistency across pathogen and tree species, given the wide variation in their transmission pathways and modes of infection. Transmission to seedlings of pathogens that spread via root contact is expected to be greater in shelterwood or other even-retention or small-gap selection systems. This effect may be less so for pathogens that disperse via airborne or water dispersal. Similarly, amongst trees, light-demanding species that show greatest vigor in open clearcut or large gap sites are likely to be less susceptible to infection in such site conditions. In contrast, more shade-tolerant species may be less susceptible in shelterwood or small gap systems where they are less vulnerable to environmental stress. However, such deductions, and in particular the net effects of any trade-offs between the effect of site conditions on the rate of pathogen infection and on the level of seedling vigor, need further empirical research. It can be expected that the net outcome will vary amongst tree and pathogen species.</p>
<p>Individual silvicultural systems differ from each other in several different component silvicultural operations and resulting stand conditions, which are addressed in turn in the sections below.</p>
</sec>
<sec>
<title>Canopy Cover</title>
<p>Differences in forest canopy cover at different stages of the forest growth cycle is one of the obvious distinctions amongst different silvicultural systems. It is also influenced by decisions over specific silvicultural operations, e.g., tree species selection, planting density, and thinning. Canopy cover affects microclimate, solar irradiation and air flow, all of which can alter the survival and dispersal of pathogens within a forest. Although it could not be distinguished as a separate effect in the reviewed literature, canopy cover would also be expected to affect movement of animal vectors of disease. We found only three studies explicitly investigating the impacts of canopy cover and their results conformed to the expectation for the different types of pathogen species, given that greater canopy cover is associated with higher air humidity, but lower sub-canopy wind speeds. Two studies in California mixed evergreen forest found a positive relationship between canopy cover and severity of infection by <italic>P. ramorum</italic>, a species whose dispersal and colonization is dependent on high humidity (Condeso and Meentemeyer, <xref ref-type="bibr" rid="B23">2007</xref>; Ellis et al., <xref ref-type="bibr" rid="B34">2010</xref>). In contrast, in British Columbia, <italic>C. ribicola</italic>, a species whose spores can disperse successfully through dry air, was reduced in sites with higher canopy cover (Campbell and Antos, <xref ref-type="bibr" rid="B19">2000</xref>). As the effects of canopy cover clearly differ so much between different species it is not possible to draw conclusions across tree pathogens in general. In order to provide a stronger evidence base for the relative effect of different silvicultural systems in limiting the rate of secondary infection of tree pathogens, new research into the mechanisms by which canopy cover alters pathogen dispersal and infection is a high priority.</p>
</sec>
<sec>
<title>Tree Density</title>
<p>High tree density reduces the distance between potential host individuals and would therefore be expected to increase rates of pathogen spread by secondary infection within a forest. This effect is likely to vary among pathogen species, with a greater effect seen for pathogens that spread via root contact than for those with only airborne dispersal. Dispersal via animal vectors is also likely to be affected by tree density, though this could not be distinguished as a separate effect in the reviewed literature. Variation in total tree density can result from many causes, e.g., initial density of planting or natural regeneration or reduction in density due to intensity of thinning or other forms of selective felling. Reduction in density of individual host species can occur as a result of mixture with other species (reviewed in section Tree Species Mixture and Diversity). Studies that reported on the effects of thinning as an operation are reviewed in the following section Thinning.</p>
<p>We found only one study testing the relationship between tree density and the incidence of a pathogen species that spreads through root contact. In Minnesota, USA, broadleaf and conifer seedlings were planted in several species mixtures in recently logged sites at four different densities, ranging from 0.25 to 2 m spacing. In this study the effect of closer spacing on mortality was not significant (Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>). Airborne pathogens have been subject to much more extensive study. The intensity of <italic>P. ramorum</italic> infection increased in an observational study of mixed evergreen stands in California with higher densities of the three primary host species (Dillon et al., <xref ref-type="bibr" rid="B31">2014</xref>). This positive relationship between tree density and pathogen incidence or impact has been observed for a range of other tree and airborne pathogen species and locations, including crown dieback of <italic>F. excelsior</italic> due to <italic>H. fraxineus</italic> in forests across the Czech Republic (Havdova et al., <xref ref-type="bibr" rid="B58">2017</xref>), mortality of <italic>P. sylvestris</italic> due to snow blight (<italic>Phacidium infestans</italic>) in Sweden (Burdon et al., <xref ref-type="bibr" rid="B18">1992</xref>), and infection level by <italic>M. pinitorqua</italic> of both <italic>P. sylvestris</italic> in Southwest Lapland and in Northern Karelia, Finland (Mattila et al., <xref ref-type="bibr" rid="B89">2001</xref>; Mattila, <xref ref-type="bibr" rid="B88">2002</xref>), and <italic>P. pinaster</italic> in France (Desprez-Loustau and Wagner, <xref ref-type="bibr" rid="B30">1997</xref>). However a number of other studies find no relationship between pathogen incidence and tree density (McCracken and Dawson, <xref ref-type="bibr" rid="B91">1998</xref>; Bishaw et al., <xref ref-type="bibr" rid="B12">2003</xref>; Piirto and Valkonen, <xref ref-type="bibr" rid="B120">2005</xref>).</p>
<p>High tree densities increase susceptibility to a broad range of tree pathogens, both those spread by root contact and airborne spores, although this effect is not universal, with many studies showing no relationship. It is likely that the relationship between tree density and pathogen prevalence is not linear but characterized by thresholds at both low and high densities. For most pathogen species forests with a high load are unlikely to see changes in pathogen spread through reduction in tree density, as the probability of secondary infection is likely to remain high even with relatively large distances between trees. Similarly, once distance between trees exceeds the normal dispersal distance of a pathogen, further increases in distance would be expected to have a smaller effect. We found no clear evidence of effects of forest structure <italic>per se</italic>, though many studies did report on the progression of disease during the development of planted stands. Priorities for future applied research would be to improve understanding of the mechanisms of tree density effects and identify thresholds in tree density related to pathogen load. In considering the role of tree density as a factor in species diversity effects on susceptibility to pathogens, an important source of evidence from future research would be to distinguish the influence of absolute tree density from that of the relative density of individual species and from the effect of forest structure (e.g., tree size heterogeneity). Thus, research should specifically compare the effects of reducing host species density by increased spacing in monoculture vs. dilution by planting in mixture with non-host species.</p>
</sec>
<sec>
<title>Thinning</title>
<p>Thinning may be carried out as a planned action to increase production of the highest value timber from a forest, to improve other components of stand condition, or in response to damaging disturbance events, including tree pathogen outbreaks. In the latter case, thinning can take the form of salvage cutting, where dead or dying trees are removed, or sanitation cutting, which targets trees highly susceptible to disease, with the intention of reducing forest inoculum load. The latter type of thinning to remove susceptible trees will be considered in the next section Diseased Tree Removal. Thinning to improve growth or other components of tree vigor, through reduction in tree density (section Tree Density), could also be expected to improve resilience to tree diseases. However, studies show a large variation in forest response to thinning actions. Negative impacts could be attributed to the resulting stumps, whose cut surfaces are susceptible to infection (compare section Site Preparation), wounding of remaining trees, or due to increased traffic within managed areas, increasing pathogen spread by vectors (Jules et al., <xref ref-type="bibr" rid="B70">2002</xref>; Cushman and Meentemeyer, <xref ref-type="bibr" rid="B26">2008</xref>; Goheen et al., <xref ref-type="bibr" rid="B45">2012</xref>).</p>
<p><italic>Armillaria</italic> sp. root rots have been the best studied pathogen with regards to thinning impacts, with studies consistently finding evidence that thinning increases pathogen infection. Weights of <italic>Armillaria</italic> sp. isolated from the soil increased with past thinning intensity in <italic>A. alba</italic> stands in the Spanish Pyrenees (Oliva et al., <xref ref-type="bibr" rid="B109">2009</xref>) and incidence of <italic>A. ostoyae</italic> infection was higher in experimental units that had been thinned for a range of conifer species in British Columbia, compared with paired unthinned stands (Morrison et al., <xref ref-type="bibr" rid="B101">2001</xref>). This result was also observed in experimental <italic>P. menziesii</italic> plantations in Oregon (Rosso and Hansen, <xref ref-type="bibr" rid="B135">1998</xref>) and Idaho (Entry et al., <xref ref-type="bibr" rid="B35">1991</xref>), as well as for <italic>A. luteobubalina</italic> infection of <italic>Eucalyptus diversicolor</italic> (karri) in Western Australia, with no increased growth rate of trees retained after thinning (Robinson, <xref ref-type="bibr" rid="B132">2003</xref>). In <italic>P. radiata</italic> plantations in New Zealand thinning also increased stand-level infection of retained trees by <italic>A. novae-zelandiae</italic> partly through infection from stumps, however the incidence of infection diminished as the stumps decomposed, leaving no effect of thinning after 6 years (Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>; Hood and Kimberley, <xref ref-type="bibr" rid="B64">2009</xref>).</p>
<p>Studies of other species of root rot also predominantly show an increase in infection with thinning. In 15 year old <italic>P. menziesii</italic> stands in northern California, incidence of <italic>L. wageneri</italic> was much higher in thinned than in unthinned stands (Harrington et al., <xref ref-type="bibr" rid="B56">1983</xref>). This finding was confirmed in a much more extensive survey of <italic>P. menziesii</italic> plantations in southwest Oregon, which found that incidence of <italic>L. wageneri</italic> was significantly higher in thinned than unthinned stands, though this effect was not apparent in all the studied forests (Hessburg, <xref ref-type="bibr" rid="B59">2001</xref>). In an experimental study of <italic>P. abies</italic> stands in Sweden, the probability of stump infection was much higher following thinning in the summer than the winter (Thor and Stenlid, <xref ref-type="bibr" rid="B146">2005</xref>). This pattern persisted following a second thinning of these plots (Oliva et al., <xref ref-type="bibr" rid="B110">2010</xref>). However, infection rates following summer thinning were greatly reduced by a range of chemical and biological (spores of <italic>P. gigantea</italic>) treatments of the cut stumps (Thor and Stenlid, <xref ref-type="bibr" rid="B146">2005</xref>), and plots with stumps treated with urea had much lower overall mortality (Oliva et al., <xref ref-type="bibr" rid="B108">2008</xref>). Only a single study recorded a decrease in infection following thinning, with reduced mortality of <italic>P. ponderosa</italic> due to <italic>L. wageneri</italic> 10 years after experimental thinning in north-eastern California (Otrosina et al., <xref ref-type="bibr" rid="B114">2007</xref>). Thinning may also be accompanied by measures to remove root fragments, particularly where thinning was carried out with the intention of tackling root rots. However, intensive root removal can be associated with wounding the roots of retained trees, which increased the risk of infection of <italic>P. tremuloides</italic> by <italic>Armillaria</italic> spp. (Pankuch et al., <xref ref-type="bibr" rid="B115">2003</xref>).</p>
<p>Thinning has highly variable effects on tree diseases besides root rots. The most frequently studied pathogens infecting tree shoots have been dothistroma needle blight of <italic>Pinus</italic> spp. caused by <italic>D. septosporum</italic> and <italic>D. pini</italic>. A comprehensive review of management and control of these pathogens was provided by Bulman et al. (<xref ref-type="bibr" rid="B17">2016</xref>). They found that in Australia, Chile, New Zealand and USA, reducing stand density by thinning reduced disease levels. However, ongoing experiments in the generally wetter climates of Great Britain and British Columbia have not shown a notable effect on disease incidence. No benefits were found of thinning for control of these pathogens, or <italic>Lecanosticta acicula</italic>, in <italic>P. radiata</italic> plantations in northern Spain (de Urbina et al., <xref ref-type="bibr" rid="B28">2017</xref>). Thinning was reported to reduce damage of <italic>P. contorta</italic> var. <italic>latifolia</italic> due to <italic>E. harknessii</italic> across 27 plantations in southeastern British Columbia (Roach et al., <xref ref-type="bibr" rid="B131">2015</xref>). However, no significant effect of thinning of <italic>P. contorta</italic> var. <italic>latifolia</italic> on incidence of <italic>E. harknessii</italic> infection had been found in a previous multi-site study in British Columbia, though thinning was associated with a large increase in the incidence of infection by stalactiform blister rust (<italic>Cronartium coleosporioides</italic>; van der Kamp, <xref ref-type="bibr" rid="B150">1994</xref>). Similarly, in Idaho, thinning was related to an increase in the number of new lethal infections per tree of <italic>Pinus monticola</italic> (western white pine) by <italic>C. ribicola</italic> 5 years after treatment (Hungerford et al., <xref ref-type="bibr" rid="B66">1982</xref>). In an experiment in a forest in Missouri, USA, where a range of oak species are subject to &#x0201C;oak decline&#x0201D; that may be caused by a range of root pathogens or insects, thinning in the form of &#x0201C;improvement harvests&#x0201D; (selective cutting to remove trees that were declining and to reduce tree density) did not significantly alter the incidence of oak decline after 10 (Meadows et al., <xref ref-type="bibr" rid="B94">2013</xref>) or 14 years (Dwyer et al., <xref ref-type="bibr" rid="B33">2007</xref>; Meadows et al., <xref ref-type="bibr" rid="B94">2013</xref>).</p>
<p>As well as being a legacy of the harvesting of mature trees, stumps are also present throughout growing stands as a result of thinning operations. Chemical or biological treatment of stumps resulting from thinning can be effective at reducing pathogen incidence, as is the case for final harvest tree stumps (section Site Preparation). In Sweden, following thinning, the proportion of <italic>P. abies</italic> stump area colonized by <italic>H. annosum</italic> after 6&#x02013;7 weeks was reduced by 88&#x02013;99% in stumps treated with either 35% urea solution, 5% disodium octaborate tetrahydrate solution or spores of <italic>Phlebiopsis gigantea</italic>, compared with untreated stumps (Thor and Stenlid, <xref ref-type="bibr" rid="B146">2005</xref>).</p>
<p>In the majority of cases, forests that have undergone thinning have a higher incidence of tree disease than unthinned sites. However, results are variable, even within the same site, pathogen or tree species. Such variation likely arises not from thinning itself, but from other changes within the forest associated with thinning regimes. Pathogen loads can increase due to increased movement of machinery and human vectors into a forest to carry out thinning (Jules et al., <xref ref-type="bibr" rid="B70">2002</xref>; Cushman and Meentemeyer, <xref ref-type="bibr" rid="B26">2008</xref>; Goheen et al., <xref ref-type="bibr" rid="B45">2012</xref>) and wounding of stems and roots of retained trees that can provide entry points for pathogens. More complex effects can be mediated by changes in forest species composition and structural composition resulting from thinning. Therefore, to provide a more robust basis for management recommendations, future studies should focus on identifying and accounting for the sources of this variation, and determining how impacts vary during the course of a pathogen invasion.</p>
</sec>
<sec>
<title>Diseased Tree Removal</title>
<p>Removal of diseased trees is often one of the criteria applied for tree selection in thinning of diseased stands. In some cases it is the sole focus of a control programme, either restricted to trees already showing disease symptoms or extended to trees considered to be at high risk of infection, e.g., because of their species and proximity to diseased trees. The effectiveness of this measure has been assessed in a number of studies, though not through rigorous experimentation. Examples include the spatial spread of Dutch elm disease (<italic>Ophiostoma novo</italic>-ulmi) in New Zealand (Ganley and Bulman, <xref ref-type="bibr" rid="B41">2016</xref>) and Gotland Island, Sweden (Menkis et al., <xref ref-type="bibr" rid="B97">2016</xref>), and <italic>P. ramorum</italic> in the coastal forests of Oregon (Kanaskie et al., <xref ref-type="bibr" rid="B72">2006</xref>). In 35-year-old coppiced <italic>Castanea sativa</italic> (sweet chestnut) in Italy, thinning that targeted the cutting of infected stems did result in a reduction in the severity of damage due to <italic>C. parasitica</italic> 2 years later (Amorini et al., <xref ref-type="bibr" rid="B1">2001</xref>). In all of these studies, while some evidence was found that removal of infected and adjacent trees slowed the spread of the pathogen, it had only delayed, rather than prevented, eventual infection. The cryptic nature of the pathogens that prevents sufficiently early identification of infected trees to enable their removal before they become a source of inoculum, and the occasional occurrence of long-distance inoculum dispersal events through vectors, e.g., human or animal movement, are among the major constraints. The potential for removal of diseased trees to disrupt natural biocontrol, e.g., hypovirulence of <italic>C. parasitica</italic> caused by virus infection of the fungus, merits future research.</p>
</sec>
<sec>
<title>Pruning and Coppicing</title>
<p>Pruning of lateral branches is usually carried out to improve timber quality by reducing knots in the subsequent radial wood growth. Analogous to thinning, pruning may also be carried out to reduce pathogen incidence by targeting infected or susceptible damaged branches or to reduce sub-canopy humidity in the forest. However, pruning wounds also create potential sites for pathogen entry and, as with thinning, pruning operations may increase traffic and potential of cross-infection on tools, acting as vectors of pathogens.</p>
<p>Positive impacts of pruning <italic>Pinus</italic> spp. on resistance to <italic>C. ribicola</italic> rust have been largely consistent across North America. In Idaho pruning of <italic>P. monticola</italic> in addition to thinning greatly reduced the total number of new lethal and non-lethal infections per tree after 5 years compared with thinning-only treatment and controls (Hungerford et al., <xref ref-type="bibr" rid="B66">1982</xref>). Incidence and severity of <italic>C. ribicola</italic> infection of young <italic>P. strobus</italic> was reduced by preventative pruning of susceptible lower branches in sites across the eastern USA (Ostry, <xref ref-type="bibr" rid="B111">2000</xref>). Pruning of infected branches of <italic>P. strobus</italic> also reduced the incidence of disease and tree mortality in Quebec, Canada (Lavallee, <xref ref-type="bibr" rid="B77">1991</xref>).</p>
<p>For other pathogens, results of pruning have not been so positive. Pruning increased <italic>F. circinatum</italic> canker symptoms in <italic>P. radiata</italic> plantations in Cantabria, Spain, which was attributed to the role of pruning wounds in permitting the pathogen to infect the tree (Bezos et al., <xref ref-type="bibr" rid="B11">2012</xref>). Pruning increased <italic>D. pinea</italic> infection in <italic>P. radiata</italic> trees in New Zealand that were experimentally inoculated, with a large increase in infection rates with intensity of pruning (percentage of crown removed; Chou and MacKenzie, <xref ref-type="bibr" rid="B21">1988</xref>). Infection by <italic>D. pinea</italic> and by <italic>Seiridium cardinale</italic> was also positively associated with pruning of <italic>Cupressus sempervirens</italic> (cypress) trees in Israel (Madar et al., <xref ref-type="bibr" rid="B85">1991</xref>). No effect of pruning was observed on control of <italic>D. septosporum, D. pini</italic>, or <italic>L. acicula</italic> in <italic>P. radiata</italic> plantations in northern Spain (de Urbina et al., <xref ref-type="bibr" rid="B28">2017</xref>), nor <italic>Armillaria</italic> spp. infection in New Zealand <italic>P. radiata</italic> plantations (Hood et al., <xref ref-type="bibr" rid="B65">2002</xref>). For stands of <italic>P. abies</italic> in Baden-W&#x000FC;rttemburg, Germany, careful pruning of branches up to 10 m height was found to produce only a low risk of wood deterioration, however it did lead to an increase in heartwood infection by a range of pathogens, especially <italic>Nectria fuckeliana</italic> (Metzler, <xref ref-type="bibr" rid="B98">1997</xref>). The review of studies in Australia and New Zealand on <italic>Dothistroma</italic> spp. infection of <italic>Pinus</italic> spp. by Bulman et al. (<xref ref-type="bibr" rid="B17">2016</xref>) reported mixed results of pruning, particularly beyond short-term impacts.</p>
<p>Shoot removal to reduce multiple stems to a single stem was carried out on <italic>Acacia mangium</italic> and <italic>A. crassicarpa</italic> plantation trees in South Africa, and was followed by experimental inoculation by pathogenic <italic>Ceratocystis acaiivora</italic> and <italic>Lasiodiplodia theobromae</italic> fungi (Tarigan et al., <xref ref-type="bibr" rid="B143">2011</xref>). Careful pruning resulted in reduced lesion size compared with trees pruned less carefully, causing tearing of the bark, which suffered infection from naturally spreading spores even if not inoculated. Pathogen impacts are of particular concern for short-rotation coppice systems with fast-growing trees that are particularly susceptible to infection. In an experiment in Northern Ireland, McCracken and Dawson (<xref ref-type="bibr" rid="B92">2003</xref>) found that coppicing produced mixed results amongst genotypes of <italic>Salix</italic> spp. In one genotype, levels of the <italic>M. epitea</italic> rust pathogen were much higher in the first 3-year harvest cycle than during the second cycle. However, for a number of other genotypes, <italic>M. epitea</italic> infection was more severe on the regrowth from freshly coppiced stools.</p>
<p><italic>Phytophthora ramorum</italic> is able to persist in, and produce spores from, resprouted stumps (effectively increasing the inoculum load available for secondary infection within a plantation thus generating secondary infection). A benefit of sprout cutting was shown, as isolation of <italic>P. ramorum</italic> from the sprouts growing from cut stumps of <italic>U. californica</italic> was reduced in sprouts that had been cut 1-year previously compared with those left to grow for 7 years, however there was no treatment effect for sprouts growing on stumps of <italic>N. densiflorus</italic> (Valachovic et al., <xref ref-type="bibr" rid="B147">2013a</xref>).</p>
<p>Pruning, coppicing and shoot removal have a highly variable impact on resilience of forests to tree pathogens. Some of the literature on the subject points to an increase in susceptibility caused by pruning wounds and increased vector or air movement of the pathogen within the forest. However, other studies show a decrease in susceptibility to some pathogens, linked to removal of susceptible branch material and reduced sub-canopy humidity. There is a lack of experimental studies that enable testing of these mechanisms and their trade-offs. While pruning is less common as a forest management practice than is thinning, it should be a priority for future studies. There is good potential to link knowledge of the effects of pruning practice on tree pathogens in arboriculture with the evidence required to inform forest management. A priority is to understand more about what controls the risk of entry into pruning wounds of the main airborne pathogens of commercial tree species.</p>
</sec>
</sec>
<sec id="s6">
<title>Recovery</title>
<p>The processes described above in terms of primary and secondary infection capture the first element of forest resilience, its resistance to an invading pathogen. The second element, the capacity of the forest to recover, is discussed in this section. As explained above, we considered rates of tree growth and natural regeneration following the onset of pathogen infection, which were the only measures of the recovery of the forest ecosystem reported in the reviewed studies. Within our working definition of resilience, we did not include changes in pathogen inoculum or infection level in the ecosystem as measures of recovery, in order to avoid mixing up &#x0201C;cause&#x0201D; and &#x0201C;effect.&#x0201D; The capacity for forest ecosystem recovery can be assessed over a wide range of temporal and spatial scales. For entire managed forests it is extremely likely that, over the long term, the decisions of forest managers will be crucial in determining the rate and trajectory of forest recovery. Gibbs et al. (<xref ref-type="bibr" rid="B44">2002</xref>) provide an insightful account of how successive generations of managers have experimented and adapted the management of a forest (Thetford, UK) to promote recovery and longer-term forest resilience to the threat posed by <italic>H. annosum</italic>. A number of studies have investigated at a smaller and shorter-term scale the effect of individual management actions on the capacity for forest recovery from pathogen impacts through natural regeneration or tree growth. They have researched some of the forest management options already considered in terms of their impact on primary and secondary infection (above), and we review their evidence on forest recovery below, with a summary in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<sec>
<title>Species Diversity and Mixtures</title>
<p>In a large experiment in British Columbia forests subject to infection by <italic>A. ostoyae</italic> and <italic>P. sulphurascens</italic>, mixed species plots had lower basal area after 40 years growth compared with monocultures, but the effect on stem diameter and on dominant tree height was variable (Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref>). Interpretation of other experimental studies in British Columbia crosses over between the effects of species mixture and of thinning as a treatment. In British Columbia forests where <italic>P. menziesii</italic> is subject to infection by <italic>A. ostoyae</italic>, mean diameter increment and height:diameter ratio increased significantly in stands where <italic>B. papyrifera</italic> was removed or partly thinned (Baleshta et al., <xref ref-type="bibr" rid="B3">2005</xref>). This was linked to increases in light and soil moisture levels caused by the thinning. In higher altitude British Columbia forests infested with <italic>A. ostoyae</italic>, the diameter growth of planted <italic>P. menziesii</italic> was 27% greater after experimental removal of the naturally regenerated broadleaves <italic>B. papyrifera</italic> and <italic>P. tremuloides</italic> compared with untreated controls, and the increase was greater with higher intensity removal treatments, however height growth was not significantly affected (Gerlach et al., <xref ref-type="bibr" rid="B42">1997</xref>; Baleshta et al., <xref ref-type="bibr" rid="B3">2005</xref>; Simard et al., <xref ref-type="bibr" rid="B140">2005</xref>). In a second experiment, diameter growth of <italic>P. contorta</italic> var. <italic>latifolia</italic> (but not <italic>P. menziesii</italic>) was increased by removal of broadleaves. These results indicate the importance of the identity of tree species in a mixture for tree growth recovery from pathogen infection.</p>
<p>In a complex mixture experiment of many <italic>Salix</italic> spp. varieties in a short rotation coppice system in Northern Ireland subject to the <italic>M. epitea</italic> rust pathogen, tree growth rate was invariably greater in mixtures compared with monoculture, even when a majority of varieties in the mixture were killed by the pathogen (McCracken et al., <xref ref-type="bibr" rid="B93">2001</xref>). However, in a subsequent experimental study of <italic>Salix viminalis</italic> genotypes subject to infection by <italic>M. epitea</italic>, whilst at the harvest at the end of the first 3-year growth cycle mixtures showed a higher yield compared with monocultures, this difference did not persist to the harvest at the end of the second cycle (Begley et al., <xref ref-type="bibr" rid="B6">2009</xref>).</p>
</sec>
<sec>
<title>Site Preparation</title>
<p>Inoculum removal prior to planting has had mixed effects on subsequent tree growth. A large-scale experiment in a British Columbia forest infested with the root pathogens <italic>P. sulphurascens</italic> and <italic>A. ostoyae</italic> showed that stump removal increased plot basal area by an average of 1.3 times after 40 years of growth of the rotation following treatment, and increased dominant tree height, but did not alter stem diameter (Morrison et al., <xref ref-type="bibr" rid="B100">2014</xref>). In forests infested by <italic>P. sulphurascens</italic> in Washington State and Oregon, pre-planting stump removal produced mixed results on the growth of <italic>P. menziesii</italic> (Thies and Westlind, <xref ref-type="bibr" rid="B145">2005</xref>). It increased seedling height in two study sites, and reduced the final measured volume at one site, but there were no significant effects at the other sites studied.</p>
</sec>
<sec>
<title>Tree Establishment Under Different Silvicultural Systems</title>
<p>There are insufficient studies of alternative silvicultural systems to draw any clear conclusions about the implications for recovery. In <italic>P. radiata</italic> forest infected by <italic>F. circinatum</italic> in California, gap size was positively associated with seedling height and diameter growth rates, showing a pattern that did not correspond to that of the variation in disease incidence with gap size (Ferchaw et al., <xref ref-type="bibr" rid="B36">2013</xref>). In mixed conifer forest in Oregon subject to infection by <italic>A. ostoyae</italic>, experimental harvesting treatments of group selection and shelterwood were compared with unharvested forest (Filip et al., <xref ref-type="bibr" rid="B39">2010</xref>). Diameter growth of retained trees 10 years after infection by <italic>A. ostoyae</italic> was not significantly altered by the silvicultural harvesting treatments, and there were no consistent effects on the density of natural regeneration amongst species.</p>
</sec>
<sec>
<title>Tree Density</title>
<p>In a <italic>P. monticola</italic> forest infected by <italic>C. ribicola</italic> in Washington State, tree height at 16 years of age was not significantly affected by tree spacing over a range from 3 to 5 m, however it was lower with very close spacing (2 m) and very wide spacing (6 m) (Bishaw et al., <xref ref-type="bibr" rid="B12">2003</xref>). Tree diameter increased with spacing from 2 to 5 m. Plot basal area and volume decreased with spacing over the whole range from 2 to 6 m. Thus, response to variation in tree density differed amongst measures of forest growth. Results from this single study of one tree-pathogen species combination do not provide a sufficient basis for any generalization.</p>
</sec>
<sec>
<title>Thinning</title>
<p>Studies of thinning impacts have consistently shown that it results in increased tree growth rates in infected stands sufficient to promote forest recovery. In <italic>P. radiata</italic> plantations in New Zealand subject to severe infection by <italic>A. novae-zelandiae</italic>, thinning treatments were followed by long-term increase in growth (and assumed associated resistance) in the retained trees at a level sufficient to counter the effects of increased inoculum potential following treatment (Hood and Kimberley, <xref ref-type="bibr" rid="B64">2009</xref>). As a result, it is expected that thinning of these diseased stands will not lead to any reduction in final crop volume. Similarly, in coppiced <italic>C. sativa</italic> forest infected by <italic>C. parasitica</italic> in Italy, a thinning treatment that targeted the cutting of infected stems increased the growth rate of the retained stems, resulting in the same stand volume growth rate as pre-thinning (Amorini et al., <xref ref-type="bibr" rid="B1">2001</xref>). In Mississippi, USA, where red oaks (<italic>Quercus</italic> spp.) are infected with the canker decay fungus <italic>Inonotus hispidus</italic>, experimental improvement thinning that removed smaller and diseased trees significantly increased the diameter growth of the retained trees (Meadows et al., <xref ref-type="bibr" rid="B94">2013</xref>).</p>
<p>One study was notable for providing evidence of natural regeneration as a process of forest recovery, but its results were mixed. In British Columbia selective cutting, a silvicultural treatment somewhat akin to thinning, in forests infested with <italic>A. ostoyae</italic>, resulted in a large increase in rates of subsequent natural regeneration of a range of conifer species, compared with uncut control plots, but in only two of the four studied forest sites. Less than 30% of the naturally regenerated trees were killed by the pathogen in these two sites (Morrison et al., <xref ref-type="bibr" rid="B101">2001</xref>).</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s7">
<title>Conclusions</title>
<sec>
<title>Coverage of Published Studies</title>
<p>Published studies on forest resilience to tree diseases have uneven coverage with regard to geographical locations, management options, and pathogen species. The majority of studies have been restricted to a single forest area, while larger-scale studies often find inconsistent results across locations. This patchy coverage, and a lack of detail in reporting of the management options tested or the scale of their effects, hampers our ability to produce a systematic assessment of the similarities and differences in the impacts of management on tree resilience to different tree pathogens. Insufficient evidence is provided to enable comparison of effectiveness between options. Individual studies are limited to considering a single, or small number of related, pathogens, and therefore do not provide an adequate evidence base for forest managers who need to decide how best to increase forest resilience against multiple known and unknown future threats. Determining general conclusions to best inform forest management in the face of such a diversity of (and likely increasing pressure from) future pathogen risks is therefore challenging. Most management actions have been responsive, seeking to combat specific pathogens that are either established in a forest or new outbreaks after they have reached a region. Interventions thus tend to focus on reducing sources of inoculum or the rate of secondary infection, including the transmission of inoculum and the susceptibility of trees. Because most studies have researched forests managed for timber production, their evidence should not simply be extrapolated to forests managed for other benefits (for which different measures of resilience, linked to other ecosystem services, would be more relevant).</p>
</sec>
<sec>
<title>Evidence of Forest Management That Increases Resilience to Forest Pathogens</title>
<p>Although the published studies included in this review were very uneven in their coverage and did not produce consistent results, they provided stronger evidence of the benefit of certain management options for forest resilience to pathogens. The reduction of primary infection by limiting the connectivity of forest units and by the removal or treatment of stumps during site preparation, and the reduction of secondary infection by planting mixed species forests, are the management options with the strongest evidence for improving forest resilience to pathogens. Despite this, in each case the effects are strongly modified by the particular methods used and tree species involved, so this evidence can only be taken as a first indication to inform management decision-making. Forest managers must also consider the scale of the effect of each management option and trade-offs with other impacts on the forest system, such as the effects on environmental conditions and thus tree health and vigor.</p>
<p>Commercial timber production is the dominant management objective in the studied forests, with the need to reduce the risk to this posed by tree pathogens and pests increasingly recognized. However, even in commercial forests biodiversity conservation is also an increasingly important objective. Therefore, the potential negative impacts of connectivity on risk of spread of pathogens and pests needs to be weighed against the demonstrated benefits of higher connectivity for biodiversity (Lindenmayer et al., <xref ref-type="bibr" rid="B81">2006</xref>). For many tree pathogens, connectivity through vehicular and human movement may be more significant than a continuity of habitat cover, depending on how specific pathogens spread. Therefore, controlling primary infection rate via human vectors may provide a reduction in functional connectivity for some pathogens, with little impact on other organisms. Stump removal as a method to reduce sources of pathogen innocuum also presents an interesting trade-off with habitat management for the benefit of biodiversity. Dead wood such as stumps are recognized as important habitat components for a wide range of forest biodiversity, including many forest specialist species (Hartley, <xref ref-type="bibr" rid="B57">2002</xref>). Providing adequate evidence to inform the management response to this trade-off is also a research priority.</p>
<p>Perhaps the most consistent finding of the reviewed research, supported by multiple studies across a range of pathogen species, although still not ubiquitous, is that the rate of secondary infection of trees of a given species is reduced if these trees are growing in a mixed, species-diverse forest rather than a monoculture. In this sense, higher species diversity has an insurance value against future income risks due to disease, which will be positively valued by risk-averse forest managers (Finger and Buchmann, <xref ref-type="bibr" rid="B40">2015</xref>). However, this outcome depends on the species within the mixture, with only non-host species increasing forest resilience to pathogens. In fact, the presence of secondary host species can make infection worse and may increase the rate of primary infection (Power and Mitchell, <xref ref-type="bibr" rid="B123">2004</xref>). This finding points to a need to extend the importance of tree species selection in strategies to combat tree diseases. Beyond considering the susceptibility of candidate primary crop species to pathogen species known to be present in the region (or at risk of arriving during the forest rotation), forest managers also need to consider the potential role of each tree species in a mixed forest for how it may influence the risk of infection (by a broad range of pathogens) of the other crop species present.</p>
<p>In seeking to achieve the most economically efficient solution to exploiting the benefits of higher tree species diversity for increasing forest system resilience to tree pathogens, a key consideration is the spatial scale at which such mixing occurs. If the economic benefit of including within the forest a portfolio of different tree crop species can be achieved by establishing large monoculture blocks of each species, then this may only cause a small increase in management costs compared with a whole-forest monoculture. However, knowledge of ecological mechanisms would suggest that the larger the monoculture blocks the smaller will be the ecological benefit through diluting the individual trees of susceptible species. It is also possible that resilience of susceptible trees is increased due to interaction with other tree species, which is unlikely to occur if mixing takes place only at the landscape scale (Bauhus et al., <xref ref-type="bibr" rid="B4">2017</xref>). It is therefore striking that we found no studies reporting results on the effect of the spatial scale of tree species mixing on rates of pathogen infection. Similarly, for the studies that researched at a landscape scale, we did not find any that reported the effects of the heterogeneity (e.g., in tree species composition) between adjacent forest patches. These evidence gaps limit our ability to draw detailed conclusions regarding how mixed-species forests should be designed to maximize this benefit, and we therefore identify these as high priorities for future research.</p>
<p>With reference to recovery of forest ecosystems, there are a number of studies of the effects of silvicultural treatments on the growth of mostly conifer crop trees in pathogen-infested forests. The results generally indicate that tree growth increased following silvicultural treatments, irrespective of the fact that the studies were carried out in forests where the trees were subject to pathogen infection. However, there are very few studies reporting on the effect of silvicultural treatments on forest recovery through natural regeneration.</p>
</sec>
<sec>
<title>Implications for Epidemiological and Bioeconomic Modeling</title>
<p>The findings of this review have several implications for epidemiological modeling of emergence, spread, and persistence of tree pathogens and for capturing the resilience of forests in response to such threats. However, we identified many important evidence gaps in the empirical literature that should be a priority for new primary research to fill. Our review aimed at providing a foundation for linking the processes and parameters used in models, specifically the epidemiological components of primary and secondary infection, and the ecological components of forest recovery, to the published observational and experimental data. This has several important implications for this area of modeling. Firstly, while our review showed the importance of tree species mixture effects, most models consider a forest comprising only a single host species (Kleczkowski et al., <xref ref-type="bibr" rid="B75">2019</xref>). Secondly, our review showed the importance of connectivity between forest units. While there has been significant progress in recent years on spatial and meta-population modeling of plant pathogens, to our knowledge these have not yet been combined with ecological models to improve understanding of the trade-offs between the benefits of connectivity for biodiversity (Lindenmayer et al., <xref ref-type="bibr" rid="B81">2006</xref>) and the reduction of pathways for pathogens to spread between and within forests. Thirdly, in models the effects of management options on epidemiological processes are often described as a simple reduction of primary or secondary infection rate. In reality, many of these processes may involve non-linearities and threshold behavior, though these have not been thoroughly studied. Fourthly, our findings on the importance of persistent inoculum for certain pathogens, from reservoirs such as tree stumps and root fragments of felled trees, suggest that infection rates in a forest unit may be &#x0201C;path-dependent,&#x0201D; for example on the forest unit&#x00027;s history of infection and control options adopted, with implications for the structure of models. Fifthly, the implications of the reviewed empirical studies for epidemiological modeling are limited by their generally small sample size and, in many cases, weakness in the capacity of the experimental design to test the influence of environmental variables and interaction effects.</p>
<p>We hope that this paper will contribute to a dialogue between forest managers and ecologists on one hand and epidemiological and bioeconomic modelers on the other, to establish criteria for experimentation that can be used to better parameterize models and rigorously test their results.</p>
</sec>
</sec>
<sec sec-type="data-availability-statement" id="s8">
<title>Data Availability Statement</title>
<p>All datasets generated for this study are included in the article/<xref ref-type="supplementary-material" rid="s10">Supplementary Material</xref>.</p>
</sec>
<sec id="s9">
<title>Author Contributions</title>
<p>JH conceived the study. AK, NH, CG, and JH acquired funding for the project. JH and MR designed the study. MR carried out data collection, performed the analysis and led the drafting of the manuscript, with input from JH. All authors discussed and interpreted the results and contributed to the writing of the final manuscript.</p>
<sec>
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack><p>The authors thank the other members of the FOREMOD project team (Chris Quine, Morag Macpherson, Ciara Dangerfield, and Oleg Sheremet) for valuable discussions and insights which have contributed to the development of this paper in many ways.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/ffgc.2020.00007/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/ffgc.2020.00007/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.XLSX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.XLSX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.XLSX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_4.XLSX" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_5.XLSX" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This work is from the project titled <italic>Modeling economic impact and strategies to increase resilience against tree disease outbreaks</italic>. This is one of seven projects in the Tree Health and Plant Biosecurity Initiative (phase 2) funded by BBSRC, Defra, ESRC, Forestry Commission, NERC, and Scottish Government. The Rural &#x00026; Environment Science &#x00026; Analytical Services Division of the Scottish Government provided supporting capacity to MR for final editing of the paper.</p>
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