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.

Détails

ID Serval
serval:BIB_3031BAE3E331
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
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.
Périodique
Journal of Environmental Management
Auteur⸱e⸱s
Vicente J.R., Fernandes R.F., Randin C.F., Broennimann O., Gonçalves J., Marcos B., Pôças I., Alves P., Guisan A., Honrado J.P.
ISSN
1095-8630 (Electronic)
ISSN-L
0301-4797
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
131
Pages
185-195
Langue
anglais
Résumé
Species distribution models (SDMs) studies suggest that, without control measures, the distribution of many alien invasive plant species (AIS) will increase under climate and land-use changes. Due to limited resources and large areas colonised by invaders, management and monitoring resources must be prioritised. Choices depend on the conservation value of the invaded areas and can be guided by SDM predictions. Here, we use a hierarchical SDM framework, complemented by connectivity analysis of AIS distributions, to evaluate current and future conflicts between AIS and high conservation value areas. We illustrate the framework with three Australian wattle (Acacia) species and patterns of conservation value in Northern Portugal. Results show that protected areas will likely suffer higher pressure from all three Acacia species under future climatic conditions. Due to this higher predicted conflict in protected areas, management might be prioritised for Acacia dealbata and Acacia melanoxylon. Connectivity of AIS suitable areas inside protected areas is currently lower than across the full study area, but this would change under future environmental conditions. Coupled SDM and connectivity analysis can support resource prioritisation for anticipation and monitoring of AIS impacts. However, further tests of this framework over a wide range of regions and organisms are still required before wide application.
Mots-clé
Acacia, Combined Predictive Models, Connectivity analysis, Conservation value, Woody invasive plants.
Pubmed
Web of science
Création de la notice
28/07/2013 21:23
Dernière modification de la notice
20/08/2019 14:14
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