Abstract
Animal production systems (APSs) have long been transformed through intensification, specialization and geographical concentration, leading them to become major anthropogenic drivers of pollution, climate change, and biodiversity loss. Agroecology, organic farming and sustainable intensification have been proposed as alternative models to invert those trends. Diversity is highly valued in agroecology and organic farming, in which it is assumed not only to increase farm performance but also to strengthen farm resilience. Here, we examine how the diversity of system components and interactions among these components can increase productivity, resource-use efficiency and farm resilience in aquaculture, rabbit, monogastric and ruminant systems. In doing so, we reveal that the same processes can occur in very different systems. For instance, the higher performance of multi-species aquaculture or ruminant grazing systems results from (i) the complementary feeding habits of animal species that exploit resources from different ecological niches more efficiently; and (ii) facilitation or competitive exclusion, which results in a species increasing or decreasing resource availability for another species. The benefits of diversity are observed not only in relatively extensive systems but also in intensive indoor systems. For instance, genetic diversity is associated with herd and social immunity in rabbit production, while trade-offs between life functions play a major role in dairy herd performance. In the last section, we discuss how management options nested in system component diversity and their interactions can enhance system resilience. Strategic and tactical management of APS diversity can promote farm buffering and adaptive capabilities, respectively, via the abovementioned processes. By stabilizing the farm financial situation and facilitating access to short supply channels, transformative changes, such as a diversification of the animal species bred or development of a processing enterprise on farm, expand options for increasing the resilience of APSs to market price fluctuations and climatic shocks. However, the need for new technical skills and sometimes high initial investments can act as strong inhibitors of farm diversification. We conclude with a description of some of the research or action that is needed for these principles to be more widely implemented in commercial farms.
Introduction
The livestock sector has received particular attention in the news and scientific media and is considered a major anthropogenic driver of climate change, water pollution, and biodiversity losses. Although the best transition options are still strongly debated, there is a consensus on the need for animal production systems (APSs) to reduce the use of inputs, to emit less greenhouse gasses (GHG) and to increase their mitigation potential, e.g., through carbon sequestration in grassland and crop soils (). Over the past 60 years, APSs have been primarily transformed through the top-down structuring of linear value chains, intensification, specialization and geographical concentration (Thornton, 2010). When intensification and specialization were the two primary drivers of APSs, the focus was primarily on short-term efficiency to make the best use of high-yielding breeds and cultivars under optimal production conditions. Intensification led to a dramatic reduction in within-system diversity, i.e., the diversity of animal species and breeds, the genetic diversity within breeds, the diversity of feed resources, and even the diversity of management practices. Recently, the methods (van der Werf et al., 2020) and frameworks (Ryschawy et al., 2019) for analyzing system sustainability have increasingly accounted for a wider perspective on the functions and services livestock farming systems provide to society. A number of these functions and ecosystem services (recycling of nutrients, forage yield, pollination, etc.) are closely linked to agrobiodiversity, and their persistence depends largely on maintaining biological diversity in APSs (; ; ; Wang et al., 2019; Yang et al., 2019).
Incorporating diversity in APSs is thus highly valued in agroecology (, ) and organic farming (Ponisio et al., 2015) the two main forms of APSs that attempt to step away from highly specialized conventional models. Sustainable intensification of tropical forage-based systems is likely to increase their productivity, while saving land from further deforestation (Silva et al., 2017; zu Ermgassen et al., 2018). Incorporating diversity in these systems mainly relies on the integration of forage leys into cropping systems to enhance the coupling of carbon and nitrogen cycles within grasslands and soils, while minimizing environmental losses toward the atmosphere and hydrosphere (; ). Beyond this, the value of diversity in agroecological or organic farming systems is based on the need to fortify their internal capacity to face perturbations because these systems are not secured with external inputs (e.g., concentrated feed and veterinary products) as they are in conventional systems (). For instance, individual response variability and interactions among system components could enhance the long-term herd (; Magne et al., 2016) and system performances (Tichit et al., 2011; ; Ponisio et al., 2015; ). In addition, rearing different species in a pastoral system could be seen as a risk-spreading strategy against disease outbreaks, feed shortages and market price fluctuations (Mace, 1990; Nozières et al., 2011; ). Within-farm diversity is thus assumed to affect not only the system’s productive yield but also its stability and ability to cope with uncertainty (; Sneessens et al., 2019). Therefore, the primary outcome related to an increase in system diversity may be an increase in system resilience.
Resilience focuses on the capacity of a system to absorb perturbations and reorganize while undergoing changes to maintain its function (Walker et al., 2004). As a system is indeed not organized around a unique equilibrium, discussed that resilience covers the buffer, adaptive and transformative capabilities of a given system. Buffer capability denotes the ability of a system to assimilate a perturbation without changing its structure or function; adaptive capability, that of adjusting to change while staying in the current stability domain; and transformative capability implies transition to a new system. These three capabilities may also operate in synergy at the farm scale since gradual and marginal changes may accumulate and, ultimately, hinder a transformative change (; Vermeulen et al., 2018). Among the underlying mechanisms, the ‘portfolio effect’ states that communities with high species diversity are likely to include complementary species that can adapt to any condition of a fluctuating environment. Consequently, the number of species per se would have a positive effect on the system resilience (; Volaire et al., 2014). Functional diversity is also likely to increase system resilience through redundancy mechanisms since the collapse of any species can be offset by another species with similar characteristics ().
Thus, at this stage, we have knowledge of the underlying mechanisms supporting farm resilience properties and theoretical assumptions on the role of diversity for resilience. However, as there is a lack of experimental evidence, it is far from clear how these concepts are applicable in different types of APSs. In this paper, we therefore examine empirical evidence and model outputs related to how within-farm diversity can enhance the production of goods and services and strengthen farm resilience in APSs with different types of productions covering a large gradient of intensification (i.e., relying on increasing levels of inputs to produce food on a given area of land). In the first section, we focus on the mechanisms expressed within the system components, including grassland diversity and the inter-individual variability between animals in herds and flocks. In the second section, we focus on interactions between system components and analyze how appropriate combinations of plant and animal production and of livestock species can increase farm production and benefit animal health. In the third section, we address how to manage system resilience by discussing how the capabilities proposed by could be enhanced by farm-scale diversity. Integrating economic and social dimensions through sales management and farmers’ securitization strategies results in a broader analysis of how farm-scale diversity allows for the adaptation of APSs to risks and uncertainties.
Valuing Diversity of System Components
Grasslands
There has been an important research effort to determine how multispecies grasslands could benefit sward productivity, animal performance, and farm fodder autonomy and resilience in grassland-based systems. A review by revealed that mixtures of species produce an average of 1.7 times more biomass than that of species monocultures. These authors also showed that the contribution of biological processes involving multiple species equals or exceeds the contribution of the most productive species, with an increase over time. extended this result to the case of intensively managed temperate grasslands; the yields of pastures made up of a variety of annual species was 30% higher than those of pastures that only had a single annual species and exceeded those of the best monoculture in approximately 60% of the sites (Figure 1). attributed this higher yield to the complementarity of the resource acquisition (e.g., nitrogen capture by N2-fixing legumes and rooting depth) and conservation strategies among plant species. In ecology, traits related to leaf functions such as photosynthesis efficiency, carbohydrate metabolism, nitrogen consumption allow plant species to be ranked according to their strategies for the acquisition and conservation of resources (Wright et al., 2004). These mixtures benefited from the presence of grasses that rapidly acquire supplied N, and maintained resistance to weed invasion for at least 3 years. Plant diversity also secures the system against seasonal and long-term climatic variability by limiting the impacts of climatic disturbance on forage yield and by increasing grassland resilience to drought conditions (Volaire et al., 2014). This results from the complementarity of plant traits and strategies, such as dehydration avoidance, dehydration tolerance and summer dormancy, within species-rich communities. Yield stability also increased when a plant species assemblage increased from one to four species in intensively managed swards, under drought and post-drought periods of two consecutive years. This is likely due to the high degree of species asynchrony increasing the temporal stability ().
FIGURE 1
Rotationally grazing on sown swards with increasing botanical complexity (in terms of the number of species and functional types) has been shown to improve animal performance in dairy cows (Roca-Fernández et al., 2016) and sheep (
Animal Inter-Individual Variability
The intrinsic individual variability in animals within a herd or a flock is a source of diversity, which has a key role in the production process (Tichit et al., 2011) and may also have positive effects on system resilience. Such positive effects are grounded in the diversity of the trade-offs between life functions that induce specific adaptive responses of animals to suboptimal environments. For instance, a multi-trait and dynamic method was proposed by Ollion et al. (2016) to describe the trade-offs between life functions in dairy cows. These authors used phenotypic traits during the first 13 weeks postpartum, when dairy cows experience a negative energy balance, and distinguished four trade-off profiles independently of the cattle breed (i.e., Holstein, Montbéliarde and Normande) and cow age (parity order). Profile one (n = 53 cows) corresponded to high yielding cows [average weekly milk yield (AMY): 487 kg]. These animals mobilized much of their body reserves to sustain their milk yield at the expense of fertility [the pregnancy rate (PR) during current lactation was 64%]. The three other profiles corresponded to cows with a lower milk yield and contrasted reproduction performance (Figure 2). Cows in profile two (n = 111; AMY: 320 kg) mobilized body reserves but were able to maintain an acceptable PR at 71%. Profile three (n = 67; AMY: 331 kg) corresponded to cows with a low body condition and high body reserve mobilization resulting in very thin animals at the start of the breeding period. Their fertility was thus very low (PR: 30%). Profile four (n = 103; AMY: 331 kg) corresponded to cows with the most stable body condition score and the best fertility among all the profiles (PR: 92%). Each profile was linked to a specific adaptive response by the daily milk yield to perturbation, cows with profiles 2 and 4 showing no fluctuation (Figure 2). At herd level, the diversity of trade-offs and adaptive response of animals is assumed to buffer the effect of random environmental perturbations in the long term. This assumption was tested by
FIGURE 2

Relationships between four individual trade-off profiles (P1-4 accounting for daily milk yield in green, body condition score in orange, and pregnancy rate during current lactation) of dairy cows measured in early lactation when competition between the functions is the highest, with their milk yield response (R1-4) to a perturbation (adapted from Ollion et al., 2016).
Beyond this modeling work, Magne et al. (2016) analyzed the productive performances of 22 multi-breed dairy herds from southern France and compared them with those of single-breed specialist (Holstein) or generalist (Montbeliarde or Simmental) herds from the same area. They concluded that multi-breed dairy herds experienced better trade-offs than single-breed herds among milk yield, milk solids, herd reproduction and concentrate-conversion efficiency. However, experimental evidence that herd composition could be a factor in enhancing system resilience remains scarce, which highlights the need for more research on the technical and economic performances of varying the proportion of specialist and generalist individuals or breeds in mixed herds. Benefiting from this diversity requires the ability to adequately phenotype dairy cows to characterize their trade-offs between life functions and identify their response profiles to perturbations (
Some effects of the genetic structure of animal groups are also expected in pigs, poultry, and rabbits, where genetic variability is usually ‘concentrated’ at the individual level (Figure 3). Purebred, specialized paternal, and maternal lines are crossed to produce the animals found in most commercial farms (Phocas et al., 2016). This organization allows the valorization of the complementarity between lines. It benefits from heterosis and leads to a homogeneous population of highly productive individuals. In sire lines, selection focuses on improving feed-use efficiency and increasing growth rate and carcass lean meat content (muscle depth), while accounting for the meat technological quality, for instance in boars. In maternal lines, the priority is to increase prolificacy (i.e., the number of young alive at parturition) while accounting for maternal abilities, for instance in sows (Phocas et al., 2016). Breed-related resistance to diseases (e.g., to swine fever) is also known in pigs (
FIGURE 3

Schematic representation of crossing specialized maternal lines (generation F0) for further crossing with a paternal line (generation F2). Genetic diversity is represented by colored shapes (circles for maternal lines and diamonds for the paternal line).
Valuing Interactions Among System Components
Combining Plant and Animal Production
Interactions between system components primarily refer to how context-appropriate combinations of plant and animal production could increase farm-scale productivity and resource-use efficiency. For instance, in a network of 66 beef cattle farms of the Charolais area, organic farmers who grow crops on farms to feed cattle and efficiently exploit the diversity of feed resources had good technical performances (e.g., the highest percentage of calves weaned per cow service), and the lowest GHG emissions and non-renewable energy consumption per hectare (Veysset et al., 2014). Conversely, conventional mixed crop–livestock farmers that sell both meat and cereals were, on average, less efficient than the specialized grassland-based farmers. This example reveals that farm-scale diversity is not sufficient to increase resource-use efficiency and that interactions between components of APSs are needed.
There are some other demonstrations of the benefits of resource diversification on farm self-sufficiency, environmental performance and farm resilience in ruminant systems. In Australia, increasing the length of the alfalfa phase in the rotation decreased the variability in production and ecosystem services value (
Multi-Species Animal Production Systems
The higher performance of multi-species APSs is assumed to result from (i) the complementary feeding habits of animal species that exploit trophic resources from different ecological niches more efficiently and (ii) facilitation or competitive exclusion, which results in an animal species increasing or decreasing the resource availability for another species. Aquaculture is a good illustration of these ideas, as manipulating combinations of species of carps and small indigenous fish enhances fish production in the polyculture systems of southern or South-eastern Asia (Milstein, 2005; Milstein et al., 2006; Wahab et al., 2011). This performance largely results from differences in the feeding strategies of fish species that are mixed, for instance, a combination of filter, herbivorous, and bottom feeders (Milstein, 2005Figure 4). Mixing species that exploit the same resource at different times and/or in different spaces (so that they do not compete directly) can lead to the same benefit. For instance, farming sterlets (Acipenser ruthenus) with juvenile pikeperch (Sander lucioperca) in a recirculating aquaculture system increases the feed-use efficiency and reduces the labor needed for tank maintenance (
FIGURE 4

An example of manipulation of the trophic network in the polyculture of cyprinidae, with two objectives: (i) the trophic complementarity of fish species, leading to an effective use of available food resources, and (ii) the exploitation of the facilitation process occurring through the bioturbation of sediments that promotes plankton development on which other fish species rely [adapted from Milstein (2005)].
There are thus strong analogies to what is observed in grassland-based systems, in which a combination of livestock species with complementary ecological niches also increases the overall use of pastures. The results of a meta-analysis reveal a positive effect of mixed grazing of sheep and cattle on the daily live weight gain of sheep, while cattle live weight gain was similar in mixed and monospecific grazing systems. On average, sheep grazed with cows grew 14.5 g/day faster than those grazed alone, resulting in higher meat production per hectare compared with that of a monospecific grazing system (
Polyculture fish production systems and mixed grazing systems can also achieve higher performance as a result of processes that benefit animal health. These benefits can be direct or indirect. An example of a direct effect comes from salmon farms, in which some fishes (e.g., wrasses and lump-suckers), named ‘cleaner fishes,’ benefit Atlantic salmon by removing ectoparasites, such as sea lice (Skiftesvik et al., 2013). In polyculture systems, a small proportion of carnivorous fishes can also contribute to the system performance by feeding preferentially on weak and ill individuals, thus limiting the pathogen load and diffusion. Such system could, however, be considered unacceptable from an animal welfare point of view. Some observations suggest that mixed grazing of pastures may directly reduce predation risks in poultry when grazed with cattle (Martin et al., 2020) or sheep, e.g., when grazed with donkeys or llamas in traditional pastoral systems (Smith et al., 2000). An indirect effect is the control of gastrointestinal parasites on pastures grazed by several herbivore species as the result of a dilution effect. Most nematode species exhibit high specificity for their hosts and are unable to complete their lifecycle when swallowed by a non-susceptible species. Mixed grazing, thus, appears to be an efficient strategy for reducing nematode infection in small ruminants (Marley et al., 2006; Mahieu, 2013) and young saddle horses (
Managing for Resilience: Diversity Allows for Adapting to Risks and Uncertainties
Is Resilience a Manageable Property of Animal Production Systems?
The first two sections of this paper have shown the extent to which valuing diversity of system components and interactions among them can increase the performance patterns of APSs (especially their productivity and resource-use efficiency) and strengthen their resilience, mainly via more stable production and reduced sensitivity to hazards (e.g., diseases). Such expected benefits depend on the implementation of fine-tuned management practices in time and space to take advantage of underlying ecological mechanisms, such as niche complementarity and facilitation. Otherwise, trade-offs may occur among organizational levels and between system performance patterns (e.g., productivity and efficiency) and system resilience (Peterson et al., 2018). This raises the question of how to manage resilience in APSs.
The buffer, adaptive and transformative capabilities of any resilient system (
TABLE 1
| Feed resource | Animal | Farm management | |
| Buffer capability | • Sow multispecies swards. • Keep a diversity of permanent pastures. • Sow temporary fodders and cover crops in crop rotations. | • Use different breeds/lines in mixed herds. • Breed fish species with different ecological niches. | • Graze different livestock species on the same plots. • Increase crop–livestock interactions, i.e., use crop residues to feed animals and manure to fertilize crops. |
| Adaptive capability | • Use dual purpose crops. • Use tree foliage (e.g., Fraxinus excelsior L.) to feed animals. | • Lengthen animal productive lifespan. | • Sell animals to reduce stocking density. • Adapt the type of product sold to market conditions. • Modify equilibrium between herds in multispecies farms. |
| Transformative capability | • Exchange feeds, straw and manure with local specialized crop farmers. | • Graze animals on cover crops. | • Introduce aquaculture into existing integrated farming systems. • Add pigs/poultry (short production cycles) to cattle farms to achieve more regular cash inflows. • Develop a processing enterprise (e.g., sausages) and sales on farm. • Develop agritourism. |
A typology of resilience factors [according to
Consistently managing these three capabilities remains a challenge. This partly relates to our limited knowledge of how management options nested in the APS diversity can enhance system resilience beyond the buffering capability discussed in the two previous sections. It is likely that managing for resilience based on the within-farm diversity of APSs will result in a greater management complexity for the farmer (
Additionally, despite several scientific indicator frameworks (
Promoting Buffer Capability via the Management of APS Diversity
Buffer capability is sometimes referred to as robustness or resistance in the literature (
FIGURE 5

Boxplots of net profit from 27 simulations in scenarios of a mixed dairy-beef farm in French Massif central, in which prices of milk, beef, and concentrate feed varied simultaneously among three levels [adapted from
Buffer capability can also be promoted by planning interactions among system components. Sneessens et al. (2019) analyzed the economic results of 208 French crop–livestock farms over a 14-year period. Farms that were more diverse and had more crop–livestock interactions had higher and less variable annual income. They experienced fewer economic disruptions and required less time to recover after a disruption. Farmers promoting interactions among crop and livestock components within a farm had lower expenses in terms of energy per hectare, water per hectare, and feed concentrate consumption per animal, thereby displaying better environmental performance patterns. In the beef-farm network of the Charolais area, the higher resource-use efficiency of organic beef farmers that fed their cattle with grasslands, grain produced on-farm and crop residues decreased production costs by 30–35% and increased the net-income per worker by 20% (Veysset et al., 2014). Such a reduction in market dependency via increased self-sufficiency and high resource-use efficiency was also reported in Mediterranean pastoral systems (
Although APS diversity and interactions among system components are needed to promote system buffer capability and enhance farmer profit and economic-environmental trade-offs, there is a theoretical diversity optimum beyond which system resilience would be compromised by the level of APS diversity and interactions (Figure 6).
FIGURE 6

Theoretical relationship between system diversity/redundancy and the resilience of ecosystem services [adapted from
Promoting Adaptive Capability via the Management of APS Diversity
Adaptive capability is sometimes referred to as flexibility (
When focusing on the animal component, farmers can lengthen the animal productivity lifespan (thus enhancing diversity in animal age classes) and thus increase production efficiency, as the proportion of the animal lifespan during which it is non-productive is proportionally lower. At the farm scale, it is also possible to adapt the type of product sold to the market conditions. For instance, in Limousin, France, calves can be sold as lean male calves just after weaning or as young heifers for fattening, fattened heifers or as reproductive females (
Promoting Transformative Capability via the Management of APS Diversity
Transformative capability can also be promoted by enhancing within-farm diversity.
According to
Conclusion
In this paper, we have discussed examples from various types of APSs, including aquaculture, rabbit, monogastric, and ruminant systems. In addition to theoretical developments, evidence reveals that the benefits of diversity are grounded in the inter-individual, inter-breed or inter-specific variability in response to environmental conditions. The benefits of diversity were observed not only in relatively extensive systems but also in intensive indoor systems for fish, rabbit, and dairy production. Therefore, the level of system intensification does not seem to prevent the use of inter-individual diversity as a driver for resource-use efficiency and farm resilience. This, however, requires that animals are phenotyped to capture the trade-offs between their life functions and to describe their adaptive capacities. The benefits of diversity also arise from a network of interactions generating emergent properties at the farming system level. Management practices can modulate the scale and direction of interactions among plants and animals or among animal components so that synergies occur.
These findings allow us to define a number of research priorities. It is still necessary to address the empirical evidence on the linkages between APS diversity and resilience under a larger range of conditions. This involves monitoring system resilience based on long-term farm surveys and the prioritization of individual life functions throughout animal productive lifespans, e.g., across all subsequent lactation cycles. This could be achieved through the coordinated use of European1 or global research infrastructures. To ensure general insights, a common set of indicators across a range of experimental or commercial farms still needs to be defined, together with a standardized description of APSs, especially their diversity and the perturbations they face. Once this indicator issue has been solved (and more data are available), a research avenue will be to carry out a meta-analysis of the effects of diversity on farm performance and resilience. Simulation modeling could also allow extrapolation of the findings from these surveys and experiments by directly exploring the strength, direction, and synergic effects of inter-individual, inter-breed, inter-specific, and crop–livestock interactions. A further step will be to include the knowledge of the linkages between APS diversity and resilience into co-designed approaches. These can be used to guide farmers toward adaptive or transformative changes, leading to the increased use of the potentialities of APS diversity.
Statements
Author contributions
BD led the writing and revision process, with all co-authors agreeing on manuscript structure, contributing to manuscript development, and reviewing the final version of the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This position manuscript was initiated by INRAE Phase Division on Animal Husbandry and Livestock Farming Systems.
Acknowledgments
We are grateful to Frédéric Joly, Bénédicte Lebret, and Claire Mosnier for helpful comments on a first draft of the manuscript. We also benefited from fruitful discussions with colleagues from PSDR4-Auvergne 2015–2020 project new-DEAL, and from the MIX-ENABLE project provided by transnational funding bodies, being partners of the H2020 ERA net project, CORE Organic Cofund, with the cofund from the European Commission.
Conflict of interest
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.
Footnotes
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Summary
Keywords
agroecology, aquaculture, grazing, livestock, management
Citation
Dumont B, Puillet L, Martin G, Savietto D, Aubin J, Ingrand S, Niderkorn V, Steinmetz L and Thomas M (2020) Incorporating Diversity Into Animal Production Systems Can Increase Their Performance and Strengthen Their Resilience. Front. Sustain. Food Syst. 4:109. doi: 10.3389/fsufs.2020.00109
Received
20 March 2020
Accepted
16 June 2020
Published
16 July 2020
Volume
4 - 2020
Edited by
Gary S. Kleppel, University at Albany, United States
Reviewed by
Yiorgos Gadanakis, University of Reading, United Kingdom; Caroline B. G. Cartier, University at Albany, United States
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© 2020 Dumont, Puillet, Martin, Savietto, Aubin, Ingrand, Niderkorn, Steinmetz and Thomas.
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.
*Correspondence: Bertrand Dumont, bertrand.dumont@inrae.fr
This article was submitted to Agroecology and Ecosystem Services, a section of the journal Frontiers in Sustainable Food Systems
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