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Assessing the landscape functional connectivity using movement maps: a case study with endemic Azorean insects
Authors:Bruno A Aparício  José Cascalho  Maria J Cruz  Paulo A V Borges  Eduardo B Azevedo  Rui B Elias  Fernando Ascensão
Institution:1.Centre for Ecology, Evolution and Environmental Changes (cE3c),Faculdade de Ciências da Universidade de Lisboa,Lisboa,Portugal;2.Núcleo de Investiga??o e Desenvolvimento em e-Saúde (NIeS),Universidade dos A?ores,Ponta Delgada,Portugal;3.BioISI – Instituto de Biosistemas & Ciências Integrativas,Faculdade de Ciências da Universidade de Lisboa,Lisboa,Portugal;4.Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group and Universidade dos A?ores (cE3c),Faculdade de Ciências Agrárias e Ambiente,Angra do Heroísmo, Terceira,Portugal;5.Centre of Climate, Meteorology and Global Change (CCMMG-CITA-A),Departamento de Ciências Agrárias, Universidade dos A?ores,Angra do Heroísmo,Portugal;6.Centro de Investiga??o em Biodiversidade e Recursos Genéticos,Universidade do Porto,Vair?o,Portugal;7.Department of Conservation Biology,Estación Biológica de Do?ana (EBD-CSIC),Sevilla,Spain
Abstract:There is a vast body of literature aiming to predict, for a large number of taxa, the spatial distribution of suitable areas given the expected future changes of climatic conditions. However, such studies often overlook the role of landscape functional connectivity. This is particularly relevant for species with low vagility, as ground-dwelling insects, inhabiting areas with high human pressure due to habitat destruction and fragmentation, namely in the islands. In this study, we developed an individual-based model (IBM) that simulates individual movement according to landscape resistance and mortality probability, in order to derive the landscape movement map, and applied it to five endemic ground-dwelling insects of Terceira Island (Azores). We then confronted the movement maps of each species against the species distribution models previously developed for both current and future climatic conditions, quantifying the amount of important movement areas that are enclosed by the distribution polygons. We further sought to identify where habitat restoration would increase the overall connectivity among large habitat patches. Our results showed that, for both timeframes, the distribution models enclosed small amounts of areas predicted to be important for animal movement. Additionally, we predicted strong reductions (up to 94%) of these important areas for functional connectivity. We also identified areas in-between native forest of primary importance for restoration that may significantly increase the probability of persistence of our model species. We anticipate that this study will be useful to both conservation planners and ecologists seeking to understand species movement and dispersal both is islands and elsewhere.
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