Adrián Regos Sanz
Researcher
Predictive Ecology
CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos
Portugal
Biography
"I am currently working as Post-doctoral reseacher funded by the Xunta de Galicia at the Universidade de Santiago de Compostela and CIBIO/InBIO (Research Centre in Biodiversity and Genetic Resources) under the supervision of João P. Honrado (Predictive Ecology- PRECOL lab) in Porto. Research Lines: 1) Global Change Ecology 2) Macroecology and Biogeography 3) Remote Sensing and Conservation In particular, my current research is aimed at: a) unravelling the interactive (antagonist, additive and synergistic) effects of multiple stressors on biodiversity (at both species and community level) and ecosystem functioning in terrestrial ecosystems using spatially-explicit process-based models, Earth Observation data, species distribution models, ecological indicators and large datasets; b) assessing and forecasting the impacts of global change drivers (mainly human-altered fire disturbance regimes, land-use changes and climate change) on biodiversity and ecosystem services under a wide range of socio-ecological scenarios using novel and integrative approaches; and, c) monitoring the effectiveness and efficiency of protected area networks in conserving biodiversity and their habitats using remote sensing data and spatial conservation prioritization tools."
Research Interest
Landscape ecology, terrestrial animal ecology, fire ecology, biogeography, conservation biology, satellite remote sensing of terrestrial ecosystems, geographic information science.
Publications
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Titeux N, Henle K, Mihoub JB, Regos A, Geijzendorffer IR, Cramer W, Verburg PH, Brotons L (2017) Global scenarios for biodiversity need to better integrate climate and land use change. Diversity and Distributions, 23(11): 1231-1234.
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Tapia L, Regos A, Gil-Carrera A, Dominguez J (2017) Unravelling the response of diurnal raptors to land use change in a highly dynamic landscape in northwestern Spain: an approach based on satellite earth observation data. European Journal of Wildlife Research, 63(2): 40.