Expansion risk of invasive plants in regions of high plant diversity: A global assessment using 36 species
Introduction
With increasing trade and tourism associated with globalization and the expansion of human populations, invasive plant species (IPS) have a high potential to expand widely outside of their natural boundaries (Kalusová et al., 2013; Rejmánek, 2015; van Kleunen et al., 2015). Previous studies have shown that the expansion of species could become apparent later in invasion events and consequently have extensively negative effects on native species and the overall stability of native ecosystems (Adams et al., 2015; Mainali et al., 2015; Pyšek et al., 2012; Roger et al., 2015; Vicente et al., 2013). The International Union for the Conservation of Nature's (IUCN's) Invasive Species Specialist Group (ISSG; http://www.issg.org/) list has shown that of the world's 100 most invasive species, 36 are plant species, and these IPS may seriously affect biodiversity worldwide (Lowe et al., 2000). IPS represent introduced plant species with generally broad physiological niches and/or special functional traits and may respond quickly to changing environmental conditions. Thus, IPS can quickly adapt to new habitats with climates that resemble those of their native habitats and can compress the living spaces of native species, thereby enhancing their invasiveness in non-native habitats (Catford et al., 2012; Hellmann et al., 2008; Lowe et al., 2000; Pyšek et al., 2012). Pyšek et al. (2012) have shown that the negative effects of IPS expansion include reduced survival of resident biota and of resident community productivity, lower mineral and nutrient content in plant tissues, and reduced plant diversity at the community level. Additionally, IPS have a high probability of expanding into areas with high protection values, particularly the hotspots of plant diversity and nature reserves. This has negative economic and ecological effects, for example, deterioration of soil quality and diminished biological diversity (Catford et al., 2012; Foxcroft et al., 2011; Hellmann et al., 2008; Stohlgren et al., 1999; Thalmann et al., 2015; Vicente et al., 2013; Wakie et al., 2016). These factors make it necessary to assess the expansion risk of IPS in regions of high plant diversity.
Previous studies have shown that risk maps based on potential distributions for IPS can be useful tools for anticipating species invasions and controlling species expansion in regions of high plant diversity (O'Donnell et al., 2012; Roger et al., 2015; Stohlgren et al., 2010; Thuiller et al., 2005; Vicente et al., 2013). Conservation ecologists mapped the expansion of risk hotspots of plant invasion for Australia, India, and the United States, based on the potential distributions produced by species distribution modeling (SDMs), and suggested effective control and prevention methods for the spread of IPS in invaded ranges (Adhikari et al., 2015; Bradley et al., 2010; Garcia et al., 2013). These studies examined regional expansion risks of IPS invasion for areas of high plant diversity (Adhikari et al., 2015; Bradley et al., 2010; O'Donnell et al., 2012; Pěknicová and Berchová-Bímová, 2016). However, it is still a challenge to evaluate the expansion risk of IPS at global scales owing to a lack of distribution data and modeling robustness. SDMs are good tools for assessing the expansion risk of IPS in global regions of high plant diversity. For example, Bellard et al., 2013, Bellard et al., 2014 used SDMs to assess the expansion risk of the world's 100 most invasive species, including 36 IPS, for 14 biomes and 34 biodiversity hotspots at a global scale. Those results give us new insights into the assessment of plant invasions in hotspots of plant diversity based on the SDMs.
The IUCN and the World Wide Fund for Nature (WWF) have identified the regions with the highest plant diversity worldwide (http://www.biodiversitya-z.org/). These regions play an important role in biodiversity conservation and social-cultural values. However, there is no specific management prescribed for those regions with the highest plant diversity, although many are represented, at least in part, in existing nature reserves or have been proposed for inclusion (http://www.biodiversitya-z.org/). IPS have a high potential for threatening the plant diversity of nature reserves, and even these nature reserves could lose conservation functions if invaded (Hiley et al., 2013; Thalmann et al., 2015; Vicente et al., 2013). Hence, it is urgent to prevent and control the expansion of IPS in these nature reserves. Different biomes may contain habitats with varying degrees of likely expansion for IPS (Donoghue and Edwards, 2014; González-Moreno et al., 2014). Some studies have developed model-based methods to evaluate the expansion risk of IPS in invaded regions across different biomes worldwide (Adhikari et al., 2015; Catford et al., 2012; Pěknicová and Berchová-Bímová, 2016; Thuiller et al., 2005). Considering the great negative effects of plant invasions on nature, society, and economic activities, two tasks need to be conducted to enable effective control and prevention of plant invasions: (1) assess the expansion risk of IPS in regions with high plant diversity, particularly in nature reserves stratified by biomes and (2) assess the potential effect of IPS expansion on the conservation of plant diversity.
To address these practical issues, we examined the expansion risk of IPS through three complementary objectives: (1) identifying the biomes with the highest expansion risk of IPS; (2) exploring the IPS with the highest expansion risk; and (3) assessing IPS expansions in nature reserves. In this study, we examined 36 IPS from the list of the world's 100 most invasive species as the focal study species, and Maxent modeling, a common SDM, was used as the assessment tool to model suitable habitats for IPS.
Section snippets
Study area
Our study area (namely, the regions of high plant diversity) included centers of plant diversity around the globe (http://www.biodiversitya-z.org/). Most mainland sites have in excess of 1000 vascular plant species, of which at least 10% are endemic, and island sites have flora with at least 50 endemic species or consist of at least 10% endemic flora (http://www.biodiversitya-z.org/). These regions included 451 ecoregions among 14 biomes and >10,000 nature reserves (//www.biodiversitya-z.org/
Results
All climatic niche models had AUC values > 0.7 for both the training and test data in Maxent modeling and the omission rates of test and training were <15%, indicating that the models had good discriminatory power (Table 1). We also found that temperature annual range (27.3 ± 21.7), annual mean temperature (21.0 ± 17.4), potential evapotranspiration (15.5 ± 13.4), and human footprint (7.6 ± 6.3) have the largest effect on the potential distributions of IPS at the global scale (Table 2 and Fig. 2
Discussion
Our study adopted an original global approach to assessing the expansion risk of the world's worst 36 IPS in regions of high plant diversity. These 36 IPS have already demonstrated their ability to establish and spread into new ecosystems and may exert negative effects on native ecosystems, economies, and human health (Lowe et al., 2000). Our results indicated that the three biomes with the highest expansion risk of IPS are Tropical & Subtropical Moist Broadleaf Forests, Tropical & Subtropical
Acknowledgements
We thank for the valuable comments of editor and two reviewers for the improvement of the early manuscript. This work has been supported by the State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University (2016-ZJ-Y01).
References (66)
- et al.
Evaluating predictive models of species' distributions: criteria for selecting optimal models
Ecol. Model.
(2003) - et al.
Alien vegetation and native biota in tropical Australia: the impact of Mimosa pigra
Biol. Conserv.
(1989) - et al.
Using Maxent to model the historic distributions of stonefly species in Illinois streams: the effects of regularization and threshold selections
Ecol. Model.
(2013) - et al.
A simple, rapid methodology for developing invasive species watch lists
Biol. Conserv.
(2014) - et al.
Predicting geographic distribution and habitat suitability due to climate change of selected threatened forest tree species in the Philippines
Appl. Geogr.
(2013) - et al.
Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: comparison of MaxEnt and GARP
Eco. Inform.
(2014) - et al.
Application of species distribution models for protected areas threatened by invasive plants
J. Nat. Conserv.
(2016) - et al.
Maximum entropy modeling of species geographic distributions
Ecol. Model.
(2006) Biodiversity hotspots
Trends Ecol. Evol.
(1998)- et al.
A tool to assess potential for alien plant establishment and expansion under climate change
J. Environ. Manag.
(2015)
Human population density explains alien species richness in protected areas
Biol. Conserv.
Will climate change drive alien invasive plants into areas of high protection value? An improved model-based regional assessment to prioritise the management of invasions
J. Environ. Manag.
Assessing the distribution and impacts of Prosopis juliflora through participatory approaches
Appl. Geogr.
Something in the way you move: dispersal pathways affect invasion success
Trends Ecol. Evol.
A model-based method to evaluate the ability of nature reserves to protect endangered tree species in the context of climate change
For. Ecol. Manag.
Distribution, demography and dispersal model of spatial spread of invasive plant populations with limited data
Methods Ecol. Evol.
Modelling hotspots for invasive alien plants in India
PLoS ONE
Geographical distributions of spiny pocket mice in South America: insights from predictive models
Glob. Ecol. Biogeogr.
Will climate change promote future invasions?
Glob. Chang. Biol.
Vulnerability of biodiversity hotspots to global change
Glob. Ecol. Biogeogr.
Major drivers of invasion risks throughout the world
Ecosphere
Climate change increases risk of plant invasion in the Eastern United States
Biol. Invasions
Soil biota and exotic plant invasion
Nature
Signatures of niche conservatism and niche shift in the North American kudzu (Pueraria montana) invasion
Divers. Distrib.
Quantifying levels of biological invasion: towards the objective classification of invaded and invasible ecosystems
Glob. Chang. Biol.
Niche dynamics of alien species do not differ among sexual and apomictic flowering plants
New Phytol.
Will extreme climatic events facilitate biological invasions?
Front. Ecol. Environ.
Invasion trajectory of alien trees: the role of introduction pathway and planting history
Glob. Chang. Biol.
Biome shifts and niche evolution in plants
Annu. Rev. Ecol. Evol. Syst.
A statistical explanation of MaxEnt for ecologists
Divers. Distrib.
Protected-area boundaries as filters of plant invasions
Conserv. Biol.
The importance of the human footprint in shaping the global distribution of terrestrial, freshwater and marine invaders
PLoS ONE
Plant invasions are context-dependent: multiscale effects of climate, human activity and habitat
Divers. Distrib.
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