Strubbe, Diederik, Jackson, Hazel, Groombridge, Jim J., Matthysen, Erik (2015) Invasion success of a global avian invader is explained by within-taxon niche structure and association with humans in the native range. Diversity and Distributions, 21 (6). pp. 675-685. ISSN 1366-9516. (doi:10.1111/ddi.12325) (KAR id:50690)
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Official URL http://dx.doi.org/10.1111/ddi.12325 |
Abstract
Aim To mitigate the threat invasive species pose to ecosystem functioning, reli- able risk assessment is paramount. Spatially explicit predictions of invasion risk obtained through bioclimatic envelope models calibrated with native species distribution data can play a critical role in invasive species management. Fore- casts of invasion risk to novel environments, however, remain controversial. Here, we assess how species’ association with human-modified habitats in the native range and within-taxon niche structure shape the distribution of invasive populations at biogeographical scales and influence the reliability of predictions of invasion risk.
Methods We use ~1200 native and invasive ring-necked parakeet (Psittacula krameri) occurrences and associated data on establishment success in combi- nation with mtDNA-based phylogeographic structure to assess niche dynam- ics during biological invasion and to generate predictions of invasion risk. Niche dynamics were quantified in a gridded environmental space while bioclimatic models were created using the biomod2 ensemble modelling framework.
Main conclusions Information on within-taxon niche structure and especially association with humans in the native range can substantially improve predic- tive models of invasion risk. To provide policymakers with robust predictions of invasion risk, including these factors into bioclimatic envelope models is recommended.
Item Type: | Article |
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DOI/Identification number: | 10.1111/ddi.12325 |
Uncontrolled keywords: | Bioclimatic envelope models, human influence, invasive species, niche shift, Psittacula krameri, risk assessment. |
Subjects: |
Q Science > QH Natural history > QH324.2 Computational biology Q Science > QH Natural history > QH426 Genetics Q Science > QH Natural history > QH541 Ecology |
Divisions: |
Faculties > Social Sciences > School of Anthropology and Conservation Faculties > Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology) |
Depositing User: | James Groombridge |
Date Deposited: | 30 Sep 2015 11:37 UTC |
Last Modified: | 04 Feb 2020 10:47 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/50690 (The current URI for this page, for reference purposes) |
Jackson, Hazel: | ![]() |
Groombridge, Jim J.: | ![]() |
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