title: 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.
abstract: 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.
authors.affiliation: CIBIO & Faculdade Ciências do Porto, Universidade Porto, Departamento Biologia, FC4, Rua do Campo Alegre S/N, 4169-007 Porto, Portugal. Electronic address: jsvicente@fc.up.pt.
authors.forename: J R
authors.initials: JR
authors.lastname: Vicente
authors.forename: R F
authors.initials: RF
authors.lastname: Fernandes
authors.forename: C F
authors.initials: CF
authors.lastname: Randin
authors.forename: O
authors.initials: O
authors.lastname: Broennimann
authors.forename: J
authors.initials: J
authors.lastname: Gonçalves
authors.forename: B
authors.initials: B
authors.lastname: Marcos
authors.forename: I
authors.initials: I
authors.lastname: Pôças
authors.forename: P
authors.initials: P
authors.lastname: Alves
authors.forename: A
authors.initials: A
authors.lastname: Guisan
authors.forename: J P
authors.initials: JP
authors.lastname: Honrado
mesh_terms: D057231:Climate Change; D003247:Conservation of Natural Resources / Q000379:methods*; D008962:Models, Theoretical; D010944:Plants
keywords: Acacia; Combined predictive models; Connectivity analysis; Conservation value; Woody invasive plants