2022
DOI: 10.1111/ecog.06284
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Testing the assumption of environmental equilibrium in an invasive plant species over a 130 year history

Abstract: Invasive plants are an increasing threat to global biodiversity. Effective management depends on accurate predictions of their spread. However, modelling the geographic distribution of invasive species, particularly with correlative species distribution models (SDMs), is challenging. SDMs assume that species are in equilibrium with their environment (i.e. they occur in all suitable environments); this assumption is likely to be violated for a species that is actively invading new environments. This assumption … Show more

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Cited by 17 publications
(11 citation statements)
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“…Any discrepancies between our conclusions and those of Foster et al (2022) could reflect the different goals, methods, and spatiotemporal scales of the two analyses. As different approaches provide different insights, it is useful to construct diverse models to develop a consensus picture of invasion risk.…”
Section: Invasion Riskcontrasting
confidence: 99%
See 2 more Smart Citations
“…Any discrepancies between our conclusions and those of Foster et al (2022) could reflect the different goals, methods, and spatiotemporal scales of the two analyses. As different approaches provide different insights, it is useful to construct diverse models to develop a consensus picture of invasion risk.…”
Section: Invasion Riskcontrasting
confidence: 99%
“…Foster et al (2022) developed MaxEnt and spatial dispersal models for V. rossicum across its invasion history in North America (10-yr intervals, 1890 to 2020). This analysis suggested that the North American distribution of V. rossicum was largely a function of dispersal in the early stages of invasion.…”
Section: Invasion Riskmentioning
confidence: 99%
See 1 more Smart Citation
“…ENMs assume that the species currently occurs in all suitable environments (i.e. is at a species‐environment equilibrium; Foster et al., 2022 ). However, the current occupancies of many species do not reflect all the environments that are suitable, and in these cases, the ENM model will underestimate the species' possible realised niche will not accurately project its suitability to new areas or future climatic projections (Liu et al., 2020 ; Ludwig et al., 2023 ; Manzoor et al., 2018 ; Parravicini et al., 2015 ; Werkowska et al., 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…For example, some studies take advantage of the temporal sequence of invasions to compare the performance of ENMs trained only on native occurrences to those trained on occurrences from the native range and early stages of invasion on projecting the environmental suitability for the later stages of invasion (e.g. Barbet‐Massin et al., 2018 ; Foster et al., 2022 ). Other studies incorporate occurrence data for closely related species when modelling species' fundamental niches, as a tool to include a broader sampling of environments the species is likely to find suitable and improve model projections (Jiménez & Soberón, 2022 ).…”
Section: Introductionmentioning
confidence: 99%