ORIGINAL RESEARCH article

Front. Ecol. Evol., 22 July 2022

Sec. Conservation and Restoration Ecology

Volume 10 - 2022 | https://doi.org/10.3389/fevo.2022.926990

Rapid monitoring of Ambrosia artemisiifolia in semi-arid regions based on ecological convergence and phylogenetic relationships

  • 1. College of Life Science, Shihezi University, Shihezi, China

  • 2. Xinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain-Basin System Ecology, Shihezi, China

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Abstract

Rapid monitoring and early elimination are important measures to control the spread of invasive plants. Ambrosia artemisiifolia is a globally distributed harmful invasive weed. The aim of this study was to clarify the invasion habitat preferences of A. artemisiifolia and the interspecific associations or phylogenetic relationships between this and native species in the Yili River Valley of Xinjiang, China. We identified the preferred habitat types of A. artemisiifolia, and investigated the composition and distribution of native species at the early stage of invasion by targeted sampling at 186 sites. By comparing the associations and phylogenetic distance between A. artemisiifolia and native species with those in Xinjiang and worldwide, we assessed the feasibility of using native species as indicators for rapid monitoring of A. artemisiifolia. A. artemisiifolia displayed an obvious invasive preference for semi-arid areas, particularly road margins (27.96%), forest (21.51%), farmland (19.35%), wasteland (12.37%), residential areas (10.75%), and grassland (8.06%). The composition and distribution of native species were similar across habitats, with more than 50% co-occurrence of A. artemisiifolia with Setaria viridis, Poa annua, Arrhenatherum elatius, Artemisia annua, Artemisia vulgaris, Artemisia leucophylla, Cannabis sativa, and Chenopodium album. A. artemisiifolia was more likely to show co-occurrence with closely related species. Overall, 53.85% of the above indicator native species with high co-occurrence were widely distributed in the potential suitable areas for A. artemisiifolia in Xinjiang. Globally, the species with the highest occurrence belonged to the genera Chenopodium (58%), Bromus, Poa, Setaria, and Trifolium (>40%). Therefore, native species with the strong association and phylogenetic distant relationship to A. artemisiifolia can be employed as indicators for rapid and accurate monitoring in semi-arid areas.

Introduction

Alien plant invasion can be roughly divided into three stages: introduction, colonization, and naturalization (Radosevich, 2007). Accurate monitoring at an early stage is essential for immediate detection and effective prevention and control of invasive plants. At present, the monitoring of alien invasive plants relies mainly on inefficient manual large-scale screening (Richter et al., 2013). Although hyperspectral data monitoring has been proposed as an alternative, the corresponding results are strongly affected by source data and model accuracy, on top of elevated operational costs (Thamaga and Dube, 2018; Al-Lami et al., 2021). Because the early invasive population is difficult to spot due to low density and patchy or sporadic distribution, attempts should focus on rapid, efficient, and low-cost invasive species monitoring technology in the early stage.

The growth and distribution of invasive plants depend on the environment. Understanding habitat requirements and species distribution is essential for the successful monitoring and effective control of alien species (Hauser and McCarthy, 2009; Giljohann et al., 2011). Although the introduction and diffusion of alien species are random and the habitats they colonize are very diverse, interactions with abiotic and biotic factors will define a preference for certain habitats, especially during establishment and population expansion (Hejda et al., 2015; Andelkovic et al., 2022). At a local scale, habitat type is the best predictor of plant invasion, trumping the importance of propagule pressure and climate (Chytrý et al., 2008a,b, 2009). Therefore, it is crucial to identify suitable or preferred habitat characteristics of alien species, and conduct a census in these habitats to enable rapid monitoring.

Interaction with native species plays an important role for individual survival and population growth of invasive plants, overcoming the constraints of abiotic factors and propagule pressure (Thomaz and Michelan, 2011; Waller et al., 2016). On the one hand, alien species usually show positive interspecific associations with widespread native species in specific habitats (Fridley et al., 2007; Lei et al., 2018). On the other hand, Darwin noted how the relationship between alien and native species affected the successful naturalization of the former (Darwin, 1929). According to this simple methodological framework, the relationship between alien and native species can be used to predict which species are prone to invasion in which ecosystems (Procheş et al., 2010).

Furthermore, regular changes to interspecific associations and kinship between invasive and native species could potentially define some general rules governing specific invasion trends, leading to common indicator species. These could be employed as search tools for alien species in targeted rapid monitoring.

The invasive annual herbaceous species Ambrosia artemisiifolia has become a global problem, particularly in Europe and China. Crop yields are reduced in the invaded areas, and the large amount of pollen produced is harmful to human health (Essl et al., 2015; Hamaoui-Laguel, 2018). A. artemisiifolia is strongly competitive. When exposed to water and nitrogen stress, it responds by adjusting biomass allocation and by making other phenotypic plasticity changes, which makes it highly adaptable to habitats likely to be invaded (Leskovšek et al., 2012a,b). This species, thus, has a wide range of suitable habitat types, including croplands, transportation corridors, wastelands, and riparian areas (Montagnani et al., 2017). Therefore, it is necessary to identify the preferred habitats of A. artemisiifolia and then use indicator species to rapidly and effectively monitor these habitats to carry out prevention and control as early as possible.

Ambrosia artemisiifolia is widely distributed in northeast, north, and south China (Feng et al., 2012; Xing, 2012; Liu, 2019). Previously, we found that Yili Valley, located in the arid and semi-arid Xinjiang Province of China, was first invaded by A. artemisiifolia in 2010 (Dong et al., 2020). In this study, we investigated the community invaded by A. artemisiifolia in the Yili Valley to identify the preferred habitat of this species in semi-arid regions. Moreover, we evaluated the interspecific associations between A. artemisiifolia and native species in each invasive habitat, as well as the corresponding phylogenetic relationship. Finally, we used this information to determine whether the indicator species of Yili Valley could be employed as universal predictors for all of Xinjiang and global distribution areas of A. artemisiifolia. As an overall objective, this study is expected to aid the rapid monitoring of A. artemisiifolia in semi-arid areas.

Materials and methods

Study area

The Yili Valley (42°14′–44°53′N, 80°09′–84°56′E) lies in the westernmost part of the Tianshan Mountain Range of Xinjiang. The Valley comprises 56,400 km2, and has a continental temperate arid climate. The region has an average annual temperature of 10.4°C and precipitation of 417.6 mm. In grassland habitats, which represent the wettest area in Yili River, precipitation can reach 500 mm annually. The Yili Valley, with its rich plant diversity and extensive seed dispersal via canals, cattle, sheep, and tourists, provides favorable conditions for the invasion and rapid spread of alien species (Jia et al., 2011).

Experimental design and statistical analysis

Habitat investigation and sample setup of Ambrosia artemisiifolia invasion

In August 2020, all communities at the initial stage of invasion by A. artemisiifolia (≤20% population coverage) were surveyed (Fenesi et al., 2015). Each invasive community was considered an invasion point, which was demarcated by latitude and longitude based on GPS data, as well as by habitat type (Figure 1).

FIGURE 1

FIGURE 1

Distribution points of Ambrosia artemisiifolia invasion communities in the study area. (A) The semi-arid regions Xinjiang is located in northwest of China. (B) The Yili Valley is located in northwest of Xinjiang. (C) Study area in the Yili Valley.

Observation plots were set up in the areas of A. artemisiifolia distribution within each habitat. Continuous or discontinuous 2 m × 2 m squares were used to cover the distribution of A. artemisiifolia. Species frequency was defined as the number of squares with a particular species/total number of squares × 100%. After the species frequency calculation of a certain habitat samples was completed, the species frequency of all samples in the habitat were regarded as repeated, and the mean and standard deviation were calculated as the species frequency of the habitat type.

There were some alien species (such as Conyza canadensis) that, according to our observations, were successfully naturalized in the study area. These species did not cause harm, and their distribution was stable and common. Therefore, we considered these as native species during our statistical analysis.

For species that could not be accurately identified in the field, plants were collected and identified in the laboratory. Growth forms and species taxonomy were identified according to descriptions in the Flora of China (Chinese Academy of Sciences Flora of China Editorial, 1998), Flora of Xinjiang (Editorial Committee of Xinjiang Flora, 1992–2011).

Interspecific associations between Ambrosia artemisiifolia and native species in the Yili Valley

Interspecific association reflects the coexistence of two species. A strong interspecific association indicates that ecological demand and habitat selection of A. artemisiifolia and native species have strong convergence and divergence. The χ2 statistic, association coefficient (AC), percentage of co-occurrence (PC), Ochiai index (OI), and dice index (DI) were used to determine the associations and co-occurrence probability between A. artemisiifolia and native species. To avoid bias introduced by rare species, taxa with a frequency < 10% were excluded from the analysis.

A 2 × 2 contingency table was constructed to show the coexistence interspecific associations between A. artemisiifolia and native species. The significance of interspecific associations were assessed by chi-square tests with Yates correction as follows:

Each A. artemisiifolia invasion point was taken as the unit of calculation, with N representing the total number of A. artemisiifolia invasion points, a the number of points in which two species co-occurred, b and c the number of points in which only one species occurred, and d the number of points in which none of the species occurred. For n = 1 degrees of freedom, the interspecific association of each species pair was non-significant if χ2 < 3.841 (P > 0.05), significant if 3.841 < χ2 < 6.635 (0.01 < P < 0.05), and highly significant if χ2 > 6.635 (P < 0.01). A positive association was indicated if ad > bc, and a negative association was indicated if ad < bc. The χ2 statistic could objectively and accurately reflect the significance of association between species pairs, but it could not quantify the closeness of this association.

The AC can further reflect the degree of interspecific associations, but it tends to exaggerate the significance of such associations in the absence of both species. The AC is calculated as follows:

The AC range is [−1, 1], and the closer it is to 1, the stronger is the positive association between species; whereas a value close to −1 indicates a strong negative association. AC = 0 indicates complete independence between species.

The PC reflects the degree of positive association between species, but tends to exaggerate the role of a, b, and c in the determination of association. The formula is PC = a/(a+b+c). The PC range is [0, 1]; the closer the value is to 1, the higher is the degree of positive connection, and the more likely two species are to appear or not together. Consequently, the ecological habitats and environmental requirements of the two species become more consistent.

The OI and DI can accurately reflect the probability and degree of association between different species pairs, and overcome the deviation caused by the large influence of d on the point AC. They are calculated as follows:

The range of these two indices is [0, 1]; the closer either of them is to 1, the higher is the degree of positive association between species pairs, and the higher is the probability of co-occurrence.

Phylogenetic relationship between Ambrosia artemisiifolia and native species in the Yili Valley

The PhyloMaker package in R was used to generate a phylogenetic tree framework, with the phylogenetic clade based on the APG classification system. The latter was done after the list of all families and species obtained from the survey was corrected in R 4.1.3 The phylogenetic distance (PD) between the invader and resident species in a recipient community was used as a metrics to represent their phylogenetic relatedness (Feng and Fu, 2008; Tretyakova et al., 2021). PD values were calculated uniformly for all indigenous species, regardless of habitat, using the picante package in R.

Distribution and representativeness of indicator species from the Yili Valley in potential suitable areas of Xinjiang

The classification of potential suitable areas of A. artemisiifolia plays an important role in early warning and effective monitoring. Through the Maxent model, Ma et al. (2020) used environmental factors, including climate data (precipitation and temperature); soil data; land use data; and altitude, slope, and aspect data, to identify the 13 areas listed in this study that are potentially suitable for A. artemisiifolia. The Flora of Xinjiang (Editorial Committee of Xinjiang Flora, 1992–2011) was consulted to check whether indicator species from the Yili Valley were distributed in all potential suitable areas for A. artemisiifolia in Xinjiang, and their proportion was calculated. Determining whether the main habitat types of the species recorded in the Flora were similar to those of indicator species could attest to the universality and representativeness of such species across Xinjiang.

Prevalence and representation of indicator and native species of the Yili Valley in major invasive areas of Ambrosia artemisiifolia across the world

To assess the difference and similarity of species composition between indicator species in the Yili Valley and native species in the main worldwide invasion areas of A. artemisiifolia, we search the literatures of associated species in the world’s recorded A. artemisiifolia distribution areas and count the native species present in the literatures (Igrc et al., 1995; Song and Prots, 1998; Makra et al., 2005; Brandes and Nitzsche, 2006; Fumanal et al., 2006; Essl et al., 2009; Gajnik and Peternel, 2009; Galzina et al., 2010; Patracchini and Ferrero, 2011; Puc and Wolski, 2013; Csontos et al., 2015; Gentili et al., 2016; Romain et al., 2016; Abramova, 2018; Chadaeva et al., 2018; Mang et al., 2018; Gusev, 2019; Petrova, 2019; Pinke et al., 2019).

To prevent discrepancies arising from different classification methods, the genera of recorded species were used to calculate the number of references for the occurrence of a species (i.e., the occurrence frequency of the species relative to the total number of references, which was 19). By arranging the frequency of each species, the similarity between the identified indicator species and the associated species of A. artemisiifolia was determined. This calculation defined the universality and representativeness of the species in present global distribution areas of A. artemisiifolia.

Results

Habitat types and species composition of Ambrosia artemisiifolia in the Yili Valley

A total of 186 invasion sites of A. artemisiifolia in the Yili Valley were cataloged. The invasive communities encompassed six habitat types: road margins (52), forest (40), farmland (36), wasteland (23), residential area (20), and grassland (15). A. artemisiifolia could not be found in other habitats, suggesting clear habitat preference for invasion.

Composition and distribution frequency of native species were similar across all habitats (Table 1). Specifically, 17 species were common in all habitats; they accounted for 60.71% of grassland species, 53.13% of farmland species, 56.67% of forest species, 60.71% of road margins species, 77.27% of residential area species, and 80.95% of wasteland species.

TABLE 1

Habitat typesSpeciesFrequency/%SpeciesFrequency/%SpeciesFrequency/%SpeciesFrequency/%
GrasslandPoa annua100 ± 0Cannabis sativa70 ± 16.12Artemisia vulgaris60 ± 10.12Achnatherum splendens33.33 ± 18.86
Setaria viridis98.18 ± 5.75Trifolium70 ± 10Eragrostis pilosa60 ± 0Arctium lappa20 ± 0
Polygonum aviculare90 ± 10Plantago asiatica70 ± 10Lagedium sibiricum60 ± 0Phragmites australis20 ± 0
Eleusine indica85 ± 16.58Artemisia annua67.27 ± 15.43Geranium wilfordii53.33 ± 9.43Carduus nutans20 ± 0
Medicago sativa80 ± 0Artemisia leucophylla67.27 ± 15.43Polygonum lapathifolium50 ± 10Achillea millefolium20 ± 0
Sonchus oleraceus80 ± 0Festuca elata60 ± 14.14Xanthium sibiricum44 ± 8
Conyza canadensis75 ± 8.66Elymus dahuricus60 ± 0Daucus carota40 ± 0
Chenopodium album70 ± 15.27Cirsium japonicum60 ± 0Lepidium apetalum40 ± 0
FarmlandBromus japonicus88.7 ± 17.52Conyza canadensis56 ± 8Medicago sativa46.67 ± 9.43Sonchus oleraceus30 ± 10
Polygonum aviculare80 ± 21.91Artemisia vulgaris56 ± 7.12Sonchus oleraceus46.67 ± 24.94Phragmites australis30 ± 10
Setaria viridis79.2 ± 16.47Festuca elata50 ± 3Taraxacum mongolicum40 ± 0Abutilon theophrasti26.67 ± 9.43
Artemisia annua67.14 ± 9.58Echinochloa crus-galli48.57 ± 14.57Xanthium sibiricum36 ± 8Achnatherum splendens20 ± 0
Trifolium64 ± 23.32Plantago asiatica48 ± 9.8Geum aleppicum33.33 ± 9.43Chrysopogon aciculatus20 ± 0
Eleusine indica64 ± 19.6Arrhenatherum elatius48 ± 20.4Cannabis sativa32.31 ± 14.76Arctium lappa20 ± 0
Chenopodium album57.5 ± 6.61Geranium wilfordii48 ± 9.8Lagedium sibiricum30 ± 10Polygonum lapathifolium20 ± 0
Artemisia leucophylla56.5 ± 7.23Eragrostis pilosa46.67 ± 9.43Polygonum plebeium30 ± 10Galium paradoxum20 ± 0
ForestBromus japonicus97.33 ± 6.8Chenopodium album69.33 ± 14.36Sonchus oleraceus60 ± 0Xanthium sibiricum36.36 ± 11.5
Setaria viridis87.5 ± 13.92Plantago asiatica67.06 ± 16.72Taraxacum mongolicum55 ± 8.66Polygonum plebeium35 ± 16.58
Conyza canadensis87.5 ± 9.68Artemisia leucophylla65.56 ± 16.06Festuca elata53.33 ± 9.42Polygonum lapathifolium35 ± 8.66
Geranium wilfordii80 ± 16.33Artemisia vulgaris62.14 ± 16.31Melilotus officinalis50 ± 10Arctium lappa33.33 ± 9.43
Poa annua80 ± 0Medicago sativa60 ± 12.65Elymus dahuricus50 ± 10Cirsium japonicum30 ± 10
Polygonum aviculare76 ± 23.32Echinochloa crus-galli60 ± 12.65Cannabis sativa48.75 ± 14.09Daucus carota26.67 ± 9.43
Eleusine indica73.33 ± 9.43Eragrostis pilosa60 ± 0Sophora alopecuroides40 ± 0Achnatherum splendens20 ± 0
Trifolium71.67 ± 15.18Chrysopogon aciculatus60 ± 16.33Phragmites australis38.33 ± 9.86Urtica fissa20 ± 0
Road marginsSophora alopecuroides96.67 ± 7.45Chenopodium album81.43 ± 15.97Artemisia annua62 ± 16.61Lagedium sibiricum48.57 ± 9.9
Geranium wilfordii93.33 ± 9.43Eragrostis pilosa80 ± 14.14Taraxacum mongolicum60 ± 20Arctium lappa41.67 ± 9.86
Arrhenatherum elatius92.65 ± 9.64Festuca elata80 ± 17.89Artemisia leucophylla56 ± 15Polygonum hydropiper40 ± 0
Setaria viridis91.74 ± 12.91Juncus bufonius80 ± 28.28Polygonum lapathifolium56 ± 15Daucus carota40 ± 0
Polygonum aviculare90 ± 19.15Trifolium74.29 ± 11.78Sonchus oleraceus54.29 ± 9.04Achnatherum splendens26.67 ± 9.43
Eleusine indica90 ± 17.32Plantago asiatica69.41 ± 19.55Artemisia vulgaris52 ± 9.8
Echinochloa crus-galli82.86 ± 7Medicago sativa67.27 ± 17.63Phragmites australis52 ± 9.8
Conyza canadensis82.22 ± 17.5Cannabis sativa63.08 ± 18.14Xanthium sibiricum49.41 ± 15.52
Residential areaSetaria viridis97.89 ± 6.14Polygonum aviculare93.75 ± 9.27Geranium wilfordii60 ± 20Melilotus officinalis42.86 ± 9.43
Arrhenatherum elatius97.5 ± 6.61Eleusine indica90 ± 10Medicago sativa57.5 ± 12Sonchus oleraceus40 ± 0
Echinochloa crus-galli96 ± 8Chenopodium album84 ± 15Polygonum lapathifolium52 ± 9.8Achnatherum splendens33.33 ± 9.43
Conyza canadensis95 ± 8.66Cannabis sativa80 ± 16.33Xanthium sibiricum50 ± 10
Residential areaArtemisia leucophylla95 ± 8.66Trifolium77.5 ± 21.07Arctium lappa46.67 ± 9.43
Artemisia annua95 ± 8.66Plantago asiatica61.82 ± 13.36Cirsium japonicum46.67 ± 9.43
WastelandSetaria viridis98.1 ± 5.87Taraxacum mongolicum90 ± 9.27Plantago asiatica57.78 ± 11.33Xanthium sibiricum42.5 ± 6.61
Eleusine indica98 ± 6Conyza canadensis80 ± 16.33Artemisia vulgaris50 ± 10Arctium lappa40 ± 0
Polygonum aviculare96 ± 8Festuca elata80 ± 16.33Phragmites australis50 ± 10Cirsium japonicum33.33 ± 9.43
Trifolium96 ± 8Chenopodium album77.5 ± 21.07Sonchus oleraceus50 ± 10
Geranium wilfordii95 ± 8.66Artemisia annua63.08 ± 17.27Polygonum lapathifolium46.67 ± 9.43
Arrhenatherum elatius93.75 ±Cannabis sativa60 ± 18.52Polygonum hydropiper46.67 ± 9.43

Distribution frequency (Mean ± SD) of native species in Ambrosia artemisiifolia invasive communities in the Yili Valley.

The most frequent grass species were Setaria viridis, Poa annua, Bromus spp., Arrhenatherum elatius, Echinochloa crus-galli, Eleusine indica, and some Artemisia species. Other common species were Chenopodium album, Plantago asiatica, C. canadensis, Cannabis sativa, and Trifolium spp. These results pointed to similar species composition and distribution in the habitats invaded by A. artemisiifolia (Table 1).

Interspecific associations between Ambrosia artemisiifolia and native species

No significant interspecific association between A. artemisiifolia and native species could be detected in all habitats. S. viridis, P. annua, and Bromus spp. correlated positively with A. artemisiifolia in all habitats; whereas A. elatius did so only in road margins, residential areas, and wasteland. Artemisia annua, Artemisia vulgaris, and Artemisia leucophylla showed similar association characteristics and were positively associated with A. artemisiifolia in all habitats. Instead, C. sativa exhibited positive association with A. artemisiifolia in farmland and grassland, but a negative association in other habitats. A negative association was observed also between C. album and A. artemisiifolia in all habitats (Table 2).

TABLE 2

Habitat typesSpeciesACSpeciesACSpeciesACSpeciesAC
GrasslandPoa annua0.346Xanthium sibiricum–0.227Trifolium–0.393Achillea millefolium–0.433
Setaria viridis0.292Eleusine indica–0.292Elymus dahuricus–0.393Eragrostis pilosa–0.433
Artemisia annua0.292Festuca elata–0.292Polygonum lapathifolium–0.393Arctium lappa–0.433
Artemisia vulgaris0.292Conyza canadensis–0.292Plantago asiatica–0.393Cirsium japonicum–0.433
Artemisia leucophylla0.292Medicago sativa–0.292Daucus carota–0.433Phragmites australis–0.433
Cannabis sativa0.227Lagedium sibiricum–0.346Carduus nutans–0.433
Chenopodium album–0.15Geranium wilfordii–0.346Lepidium apetalum–0.433
Polygonum aviculare–0.227Achnatherum splendens–0.346Sonchus oleraceus–0.433
FarmlandSetaria viridis0.462Echinochloa crus-galli–0.3Chrysopogon aciculatus–0.391Festuca elata–0.44
Bromus japonicus0.417Polygonum aviculare–0.364Achnatherum splendens–0.391Lagedium sibiricum–0.44
Artemisia annua0.067Trifolium–0.364Sonchus oleraceus–0.413Sonchus oleraceus–0.44
Artemisia vulgaris0.067Eleusine indica–0.364Medicago sativa–0.413Polygonum plebeium–0.44
Artemisia leucophylla0.067Plantago asiatica–0.364Eragrostis pilosa–0.413Phragmites australis–0.44
Cannabis sativa0.067Arrhenatherum elatius–0.364Geum aleppicum–0.413Galium paradoxum–0.44
Xanthium sibiricum–0.176Geranium wilfordii–0.364Abutilon theophrasti–0.413Polygonum lapathifolium–0.44
Chenopodium album–0.263Conyza canadensis–0.364Arctium lappa–0.413Taraxacum mongolicum–0.462
ForestSetaria viridis0.439Trifolium–0.29Taraxacum mongolicum–0.422Festuca elata–0.439
Poa annua0.403Phragmites australis–0.229Cirsium japonicum–0.422Chrysopogon aciculatus–0.439
Bromus japonicus0.383Xanthium sibiricum–0.26Achnatherum splendens–0.422Eragrostis pilosa–0.456
Artemisia leucophylla0.026Conyza canadensis–0.339Polygonum lapathifolium–0.422Melilotus officinalis–0.456
Artemisia vulgaris0.026Arctium lappa–0.383Polygonum plebeium–0.422Urtica fissa–0.456
Plantago asiatica–0.026Echinochloa crus-galli–0.403Eleusine indica–0.439Sonchus oleraceus–0.456
Cannabis sativa–0.075Polygonum aviculare–0.403Geranium wilfordii–0.439Elymus dahuricus–0.456
Chenopodium album–0.119Medicago sativa–0.403Daucus carota–0.439Sophora alopecuroides–0.456
Road marginsArrhenatherum elatius0.45Chenopodium album–0.313Taraxacum mongolicum–0.402Geranium wilfordii–0.461
Setaria viridis0.415Trifolium–0.313Echinochloa crus-galli–0.415Juncus bufonius–0.461
Artemisia annua0.113Eleusine indica–0.345Sonchus oleraceus–0.415Achnatherum splendens–0.461
Artemisia vulgaris0.113Polygonum aviculare–0.345Lagedium sibiricum–0.415Daucus carota–0.471
Artemisia leucophylla0.113Arctium lappa–0.345Sophora alopecuroides–0.427Polygonum hydropiper–0.481
Cannabis sativa–0.018Medicago sativa–0.36Polygonum lapathifolium–0.439
Plantago asiatica–0.257Phragmites australis–0.375Eragrostis pilosa–0.45
Xanthium sibiricum–0.257Conyza canadensis–0.389Festuca elata–0.45
Residential areaSetaria viridis0.364Phragmites australis–0.222Achnatherum splendens–0.364Cirsium japonicum–0.417
Arrhenatherum elatius0.3Trifolium–0.222Conyza canadensis–0.364Medicago sativa–0.417
Artemisia annua0.125Xanthium sibiricum–0.3Eleusine indica–0.364Polygonum lapathifolium–0.417
Residential areaArtemisia leucophylla0.125Echinochloa crus-galli–0.3Polygonum aviculare–0.364Sonchus oleraceus–0.417
Cannabis sativa0Plantago asiatica–0.3Geranium wilfordii–0.364
Chenopodium album–0.125Melilotus officinalis–0.3Arctium lappa–0.364
WastelandSetaria viridis0.405Chenopodium album–0.219Geranium wilfordii–0.375Taraxacum mongolicum–0.432
Arrhenatherum elatius0.265Xanthium sibiricum–0.219Trifolium–0.375Sonchus oleraceus–0.432
Artemisia annua0.107Cannabis sativa–0.265Festuca elata–0.405Arctium lappa–0.432
Artemisia vulgaris0.107Conyza canadensis–0.306Polygonum hydropiper–0.405
Eleusine indica–0.107Phragmites australis–0.342Polygonum lapathifolium–0.405
Plantago asiatica–0.167Polygonum aviculare–0.342Cirsium japonicum–0.405

Association coefficient (AC) between native species and Ambrosia artemisiifolia invasive habitat community in the Yili Valley.

The PC of A. artemisiifolia and native species in different habitats was above 50% and reached up to 96.2% for S. viridis, P. annua, Bromus spp., A. annua, A. vulgaris, and A. leucophylla in all habitats. The PC of A. elatius in road margin, residential area, and wasteland habitats were above 60%, with a peak of 95.2%. Except for wasteland, the OI and DI values of C. sativa surpassed 60% in all habitats; whereas those of C. album were greater than 50% in all habitats (Table 3).

TABLE 3

Habitat typesSpeciesPCOIDISpeciesPCOIDISpeciesPCOIDI
GrasslandPoa annua7585.985.7Festuca elata2546.240Daucus carota6.318.311.8
Setaria viridis68.88281.5Conyza canadensis2546.240Carduus nutans6.318.311.8
Artemisia annua68.88281.5Medicago sativa2546.240Lepidium apetalum6.318.311.8
Artemisia vulgaris68.88281.5Lagedium sibiricum18.838.731.6Sonchus oleraceus6.318.311.8
Artemisia leucophylla68.88281.5Geranium wilfordii18.838.731.6Achillea millefolium6.318.311.8
Cannabis sativa62.577.876.9Achnatherum splendens18.838.731.6Eragrostis pilosa6.318.311.8
Chenopodium album37.558.654.5Trifolium12.529.822.2Arctium lappa6.318.311.8
Polygonum aviculare31.352.747.6Elymus dahuricus12.529.822.2Cirsium japonicum6.318.311.8
Xanthium sibiricum31.352.747.6Polygonum lapathifolium12.529.822.2Phragmites australis6.318.311.8
Eleusine indica2546.240Plantago asiatica12.529.822.2
FarmlandSetaria viridis92.696.296.2Eleusine indica25.948.541.2Abutilon theophrasti14.835.125.8
Bromus japonicus85.292.192Plantago asiatica25.948.541.2Arctium lappa14.835.125.8
Artemisia annua51.970.968.3Arrhenatherum elatius25.948.541.2Festuca elata11.129.420
Artemisia vulgaris51.970.968.3Geranium wilfordii25.948.541.2Lagedium sibiricum11.129.420
Artemisia leucophylla51.970.968.3Conyza canadensis25.948.541.2Sonchus oleraceus11.129.420
Cannabis sativa51.970.968.3Chrysopogon aciculatus18.54031.3Polygonum plebeium11.129.420
Xanthium sibiricum48.168.165Achnatherum splendens18.54031.3Phragmites australis11.129.420
Chenopodium album33.355.850Sonchus oleraceus18.54031.3Galium paradoxum11.129.420
Echinochloa crus-galli29.652.345.7Medicago sativa14.835.125.8Polygonum lapathifolium11.129.420
Polygonum aviculare25.948.541.2Eragrostis pilosa14.835.125.8Taraxacum mongolicum7.422.613.8
Trifolium25.948.541.2Geum aleppicum14.835.125.8
ForestSetaria viridis88.994.294.1Conyza canadensis16.738.328.6Geranium wilfordii5.619.510.5
Poa annua83.391.190.9Arctium lappa13.934.524.4Daucus carota5.619.510.5
Bromus japonicus62.577.876.9Echinochloa crus-galli11.130.220Festuca elata5.619.510.5
Artemisia leucophylla5069.866.7Polygonum aviculare11.130.220Chrysopogon aciculatus5.619.510.5
Artemisia vulgaris47.269.866.7Medicago sativa11.130.220Eragrostis pilosa2.8125.4
Plantago asiatica47.267.764.2Taraxacum mongolicum8.325.415.4Melilotus officinalis2.8125.4
Cannabis sativa44.465.661.5Cirsium japonicum8.325.415.4Urtica fissa2.8125.4
Chenopodium album41.763.458.8Achnatherum splendens8.325.415.4Sonchus oleraceus2.8125.4
Trifolium33.356.350Polygonum lapathifolium8.325.415.4Elymus dahuricus2.8125.4
Phragmites australis30.653.746.8Polygonum plebeium8.325.415.4Sophora alopecuroides2.8125.4
Xanthium sibiricum22.245.136.4Eleusine indica5.619.510.5
Road marginsArrhenatherum elatius90.795.295.1Eleusine indica22.245.736.4Sophora alopecuroides11.131.220
Setaria viridis85.292.292Polygonum aviculare22.245.736.4Polygonum lapathifolium9.32816.9
Artemisia annua55.67471.4Arctium lappa22.245.736.4Eragrostis pilosa7.424.613.8
Artemisia vulgaris55.67471.4Medicago sativa20.443.633.8Festuca elata7.424.613.8
Road marginsArtemisia leucophylla55.67471.4Phragmites australis18.541.431.3Geranium wilfordii5.620.610.5
Cannabis sativa48.168.765Conyza canadensis16.739.128.6Juncus bufonius5.620.610.5
Plantago asiatica31.55547.9Taraxacum mongolicum14.836.625.8Achnatherum splendens5.620.610.5
Xanthium sibiricum31.55547.9Echinochloa crus-galli133423Daucus carota3.715.97.1
Chenopodium album25.949.741.2Sonchus oleraceus133423Polygonum hydropiper1.99.73.6
Trifolium25.949.741.2Lagedium sibiricum133423
Residential areaSetaria viridis76.98787Xanthium sibiricum23.143.337.5Geranium wilfordii15.433.326.7
Arrhenatherum elatius69.282.281.8Echinochloa crus-galli23.143.337.5Arctium lappa15.433.326.7
Artemisia annua53.871.470Plantago asiatica23.143.337.5Cirsium japonicum7.720.414.3
Artemisia leucophylla53.871.470Melilotus officinalis23.143.337.5Medicago sativa7.720.414.3
Cannabis sativa46.265.563.2Achnatherum splendens15.433.326.7Polygonum lapathifolium7.720.414.3
Chenopodium album38.558.955.6Conyza canadensis15.433.326.7Sonchus oleraceus7.720.414.3
Phragmites australis30.851.647.1Eleusine indica15.433.326.7
Trifolium30.851.647.1Polygonum aviculare15.433.326.7
WastelandSetaria viridis83.39190.9Xanthium sibiricum33.355.650Festuca elata12.531.322.2
Arrhenatherum elatius66.780.980Cannabis sativa29.251.645.2Polygonum hydropiper12.531.322.2
Artemisia annua54.272.470.3Conyza canadensis2547.340Polygonum lapathifolium12.531.322.2
Artemisia vulgaris54.272.470.3Phragmites australis20.842.634.5Cirsium japonicum12.531.322.2
Eleusine indica41.762.958.8Polygonum aviculare20.842.634.5Taraxacum mongolicum8.324.115.4
Plantago asiatica37.559.354.4Geranium wilfordii16.737.328.6Sonchus oleraceus8.324.115.4
Chenopodium album33.355.650Trifolium16.737.328.6Arctium lappa8.324.115.4

Common percentages of native species and Ambrosia artemisiifolia invasive habitat communities in the Yili Valley.

Species in bold are indicator species.

Various native species and A. artemisiifolia showed different PC due to different habitats (Table 3). The PC of A. artemisiifolia and Xanthium sibiricum in farmland reached 68.1%, that of Bromus spp. in forest reached 77.8%, that of Trifolium reached 56.3%, that of E. indica in wasteland reached 68.1%, and that of P. asiatica reached 59.3%.

Phylogenetic relationship between Ambrosia artemisiifolia and its native companion species

The greatest PD (376.57 MA) was observed between A. artemisiifolia and species of the Gramineae family with elevated PC, such as S. viridis, P. annua, and Bromus spp. The PD between A. artemisiifolia and C. album, C. sativa, and Trifolium spp. increased over time, with the proportion of species showing a distant relationship being greater in the early stages of A. artemisiifolia invasion (Figure 2).

FIGURE 2

FIGURE 2

Phylogenetic distance between Ambrosia artemisiifolia (red-colored) and native species in the study area. Green-colored species are the indicator species present in all habitat types. Blue-colored species are indicator species that occur only in a particular habitat type.

Indicator species in the potential habitat of Ambrosia artemisiifolia in Xinjiang

Poa annua, C. album, Trifolium spp., and A. elatius are widespread in Xinjiang, and their distribution area covered 100% of the potential suitable areas of A. artemisiifolia in this region. The distribution of A. annua showed a 46.15% overlap with potential suitable areas of A. artemisiifolia in Xinjiang, including severe, moderate, and mildly suitable areas. The degree of overlap between A. artemisiifolia, Bromus spp., S. viridis, A. leucophylla, and P. asiatica was only 30.77%, decreasing further to 15.38% for C. sativa, X. sibiricum, and E. indica. Notably, the habitats defined by each indicator species were similar to the main habitat types in the suitable area, especially in farmland, forest, road margins, and wasteland (Table 4).

TABLE 4

SpeciesSuitable areas of major distributionProportion of suitable area/%Habitat types in the suitable area
Setaria viridisWide distribution100Farmland, Wasteland, Road margins
Chenopodium albumWide distribution100Farmland, Canal, Wasteland
TrifoliumWide distribution100Valley, Forest
Arrhenatherum elatiusWide distribution100Valley, Wasteland, Farmland, Road margins, Valley meadow
Artemisia annuaTarbagatay, Bortala, Altay, Changji, Aksu, Hetian46.15Farmland, Hillside, Wasteland, Road margins
Artemisia vulgarisTarbagatay, Altay, Urumqi, Turpan, Kashgar38.46Grassland, Forest, Wasteland, Road margins
Bromus japonicusTarbagatay, Bortala, Altay, Urumqi, Shihezi38.46Farmland, Canal
Poa annuaTarbagatay, Altay, Urumqi, Aksu30.77Valley, Forest, Farmland
Artemisia leucophyllaAltay, Urumqi, Aksu, Kashgar30.77Hillside, Forest, Valley, Road margins
Plantago asiaticaBortala, Changji, Urumqi, Aksu30.77Upland meadow, Alpine meadow, Farmland, Canal
Cannabis sativaTarbagatay, Altay15.38Valley, Wasteland, Farmland
Xanthium sibiricumUrumqi, Yili15.38Farmland, Road margins, Wasteland
Eleusine indicaBortala, Tarbagatay15.38Farmland, Road margins, Wasteland

Distribution of indicator species in potential suitable areas of Ambrosia artemisiifolia in Xinjiang.

The habitat type in bold is the same as that of the indicator species in Yili River Valley.

Representation of indicator species from the Yili Valley in global distribution areas of Ambrosia artemisiifolia

In terms of species composition, 13 families (72.22%), 31 genera (61.76%), and 22 species (39.29%) were shared between the native species of the Yili Valley and those of areas currently infested by A. artemisiifolia across the world (Table 5). Among them, species belonging to the Gramineae and Compositae families accounted for the largest share. These common species had a high frequency of distribution in the Yili Valley.

TABLE 5

GenusFrequency/%GenusFrequency/%GenusFrequency/%GenusFrequency/%
Chenopodium58.33Arrhenatherum25Potentilla16.67Datura8.33
Medicago50Festuca25Arctium8.33Kochia8.33
Bromus41.67Taraxacum25Capsella8.33Oenothera8.33
Cirsium41.67Daucus25Sonchus8.33Anthoxanthum8.33
Poa41.67Melilotus25Galinsoga8.33Crepis8.33
Setaria41.67Amaranthus16.67Galium8.33Picris8.33
Trifolium41.67Centaurea16.67Abutilon8.33Senecio8.33
Lolium41.67Polygonum16.67Forsythia8.33Rubus8.33
Achillea33.33Bellis16.67Pisum8.33Sanguisorba8.33
Artemisia33.33Cichorium16.67Cynodon8.33Stellaria8.33
Echinochloa33.33Potentilla16.67Carex8.33Hordeum8.33
Lactuca33.33Juncus16.67Digitaria8.33Phleum8.33
Convolvulus33.33Lotus16.67Viola8.33Calamagrostis8.33
Conyza25Erigeron16.67Sorghum8.33
Plantago25Xanthium16.67Arenaria8.33

Statistics of native species of Ambrosia artemisiifolia in the world distribution.

Among all indicator species, C. album had the highest frequency of occurrence (58%); whereas species belonging to the Bromus, Poa, Setaria, and Trifolium genera appeared more than 40% of the time (Table 5).

Discussion

Ambrosia artemisiifolia shows obvious habitat preference when invading a semi-arid area

The successful establishment of alien invasive species is determined by the fluctuation of abiotic environmental factors, propagule pressure, and the interaction between species (Pysek and Chytry, 2014). Habitat conditions play a fundamental role by influencing the invasion process and the composition of native species, thus defining the relationship between the latter and the invaders, as well as the spread and harm caused by these (Catford et al., 2012; Hejda et al., 2015).

Water is an important factor affecting species distribution. Indeed, precipitation contributes more than 50% to the potential distribution of A. artemisiifolia (Ma et al., 2020; Liu et al., 2021). Precipitation above 280 mm promoting growth and propagation of A. artemisiifolia. Precipitation in most areas of The Yili Valley is above 280 mm; while the average precipitation in Xinyuan County, where A. artemisiifolia is particularly abundant, is 417 mm (Dong et al., 2020). Therefore, in low-lying areas, such as grassland, farmland, and road margins, the water supply can meet the needs for germination, growth, and reproduction of A. artemisiifolia seeds, thereby ensuring successful settlement and population expansion. By simulating the effect of different precipitation levels on the growth of A. artemisiifolia, found that A. artemisiifolia was highly adaptable to drought (Leiblein and Lösch, 2011; Leskovšek et al., 2012a), explaining its widespread distribution in a habitat with little water such as wasteland. Temperature had no significant effect on the growth and distribution of A. artemisiifolia in the Yili Valley (Dong et al., 2020).

Although the habitats of A. artemisiifolia across the world are not exactly the same as those in this study, priority targeting of habitats preferentially invaded by A. artemisiifolia is the basis for rapid surveillance (Epanchin-Niell and Hastings, 2010). This study describes the habitats that may be preferred for invasion by A. artemisiifolia throughout the world.

The probability of co-occurrence between Ambrosia artemisiifolia and species with strong positive correlation and distant relationship is higher at the neighborhood scale

In this study, the invasive community of A. artemisiifolia was at the stage from establishment to population growth, and the association between A. artemisiifolia and other species were weak (Table 2). The lack of any significant association on the whole indicated that the current invasive community of A. artemisiifolia was in a dynamic succession process and had not yet stabilized (Liu et al., 2017). At this stage, interspecific competition was weak, meaning that native species ecologically similar to A. artemisiifolia, including S. viridis, P. annua, A. elatius, A. annua, A. vulgaris, A. leucophylla, C. sativa, and C. album, as well as other dominant native plants in the community, did not compete intensely for resources and exhibited a high PC (Lei et al., 2018).

At the same time, species related to A. artemisiifolia were detected in all habitats, indicating similar habitat selection and adaptation (Ozaslan et al., 2016). However, at the neighborhood scale (i.e., within the habitat sample in this study), the PC of A. artemisiifolia and other local related species, such as X. sibiricum., Arctium lappa, and C. canadensis, was below 50% and as low as 6.3% (Table 3). Only Artemisia species presented higher PC. All Asteraceae species accounted for a very small proportion of indicator species.

Darwin’s naturalization and pre-adaptation hypotheses need not be mutually exclusive. Phylogenetic similarity may be both close and distant in the same system, as it may vary across spatial scales and at different stages of invasion (Diez et al., 2008; Procheş et al., 2010; Cadotte et al., 2018; Tretyakova et al., 2021). At fine spatial scales (in relation to plant size), one can expect closely related organisms to exist in mutually exclusive patterns due to competitive interactions. Species less closely related to the local community are more likely to coexist by minimizing competitive exclusion (Maitner et al., 2021). Li et al. (2015) found that the probability of invader establishment declined with increasing PD between the invader and residents; whereas the average size of surviving invader individuals increased with PD. Because of their adaptability to environmental conditions, successfully established A. artemisiifolia became more closely related to the community during the invasion stage, but grew phylogenetically more distant over time, as they were striving to replace closely related native plants (Ma et al., 2016). These studies suggest that the Darwin’s pre-adaptation hypothesis is more applicable to large scales and early stages of establishment, while Darwin’s naturalization hypothesis is applicable to neighborhood scales and late growth stages, which is similar to our results.

Indicator species are universal and representative

This study found a similar species composition of invasive communities across different habitats (Table 1). Native species were present in all invasive habitats except for some species, such as Achillea millefolium, Sophora alopecuroides, and Melilotus spp., in residential areas, grassland, and forest. Among widely distributed native species, S. viridis, P. annua, A. elatius, A. annua, A. vulgaris, A. leucophylla, C. sativa, and C. album exhibited positive correlation with A. artemisiifolia in all habitats and a high PC (Tables 2, 3). These indicator species accounted for 33.33% of native species, whose distribution frequency was more than 50% in the grassland, 81.82% in the farmland, 42.86% in the forest, 26.09% in the road margins, 37.5% in the residential areas, and 37.5% in the wasteland. These species not only reflect the co-occurrence with A. artemisiifolia, but are also representative and universal in various habitats, as well as easy to locate and identify. In the same way, X. sibiricum in the farmland, Bromus in the forest, Trifolium in the wasteland, and P. asiatica are good indicators and representative of their respective habitats.

By comparing similarities between the distribution of indicator species in potential suitable areas of A. artemisiifolia in the Yili Valley and the main habitat types, we found that indicator species grew in all such areas. In Tarbagatay and Bortala, more than 80% of indicator species were present in each habitat. The Maxent model predicted that precipitation in these two areas could meet the demand of A. artemisiifolia (Ma et al., 2020). Grassland was the main habitat type in the potential distribution area within the Yili Valley. This suggests that the distribution of indicator species from the Yili Valley points to potential suitable areas of A. artemisiifolia throughout Xinjiang. Therefore, it is feasible to rapidly monitor A. artemisiifolia by targeting indicator species in preferred invasive habitats of semi-arid regions.

In this study, native species associated with A. artemisiifolia across the world were counted by genus, limiting the influence of taxonomic differences and distribution habitat heterogeneity on the results. Except for C. sativa, which appeared only in the Yili River Valley, other species were distributed in all areas invaded by A. artemisiifolia. Setaria, Bromus, Elytrigia, Artemisia, and other species presented a wide distribution range. These results provide guidance and a reference for the worldwide rapid monitoring of A. artemisiifolia invasion.

At the time of monitoring, the worldwide distribution of A. artemisiifolia, and the composition and distribution of native species varied across habitats. Additionally, habitats with indicator species may not necessarily contain A. artemisiifolia because of non-dispersal or unsuccessful establishment. However, our study provides a reference key for finding common dominant native species as monitoring clues for the preferred habitat of A. artemisiifolia invasion. This is particularly true of Chenopodium spp., whose PC was 58% in the presence of A. artemisiifolia and reached up to 63.4% in a forest habitat (Table 3). Such examples improve dramatically the surveillance at an early stage of the invasion process, thereby facilitating prevention and control efforts.

Conclusion

In semi-arid areas, the preferred habitat of A. artemisiifolia and the transmission channel to surrounding areas can be accurately monitored by looking at the indicator species, i.e., dominant native species with strong correlation and distant phylogenetic relationship to A. artemisiifolia. Building on the potential suitable areas for A. artemisiifolia predicted by the Maxent model, this study provides clues for improved monitoring of this invasive species, thus reducing costs. All A. artemisiifolia found during monitoring should be removed in a timely manner to prevent the species from quickly forming dense populations and causing further harm.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

WZ conceived this study, performed data analyses, and wrote the manuscript. MS, HW, XL, and PS collected data of this study. TL led and coordinated the project. All authors read and approved the final manuscript.

Funding

This study was supported by Key Science and Technology Project of Xinjiang Production and Construction Corps (No. 2022AB010) and National Natural Science Foundation of China (No. 31770461).

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.

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Summary

Keywords

Ambrosia artemisiifolia, invasive species, interspecific association, Darwin’s naturalization hypothesis, Darwin’s pre-adaptation hypothesis, early stage

Citation

Zhao W, Liu T, Sun M, Wang H, Liu X and Su P (2022) Rapid monitoring of Ambrosia artemisiifolia in semi-arid regions based on ecological convergence and phylogenetic relationships. Front. Ecol. Evol. 10:926990. doi: 10.3389/fevo.2022.926990

Received

23 April 2022

Accepted

06 July 2022

Published

22 July 2022

Volume

10 - 2022

Edited by

Qinfeng Guo, United States Forest Service (USDA), United States

Reviewed by

Barış Özüdoğru, Hacettepe University, Turkey; Aleksandra Savic, Institute for Plant Protection and Environment (IZBIS), Serbia

Updates

Copyright

*Correspondence: Tong Liu,

This article was submitted to Conservation and Restoration Ecology, a section of the journal Frontiers in Ecology and Evolution

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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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