Ângela Cristina De Araújo Rodrigues Lo
Researcher
Predictive Ecology
CIBIO, Centro de Investigacao em Biodiversidade e Recursos Geneticos
Portugal
Biography
"I am fascinated in understanding how environmental changes impact biodiversity within landscapes where agriculture and forest are dominant land-uses. As a PhD student, my research focused plant diversity patterns in rural landscapes under contrasting farming practices, with an emphasis on the use of state-of-the-art modelling techniques and multivariate statistics to scrutinize the patterns of species and biodiversity indicators across a gradient of agricultural intensity. Currently, in collaboration with prof. Davy McCracken (SRUC, Scotland’s Rural College),"
Research Interest
My research focus the development of methods and tools for understanding and intervening in the complex interactions and dynamics of the socio-ecological dimensions underlying high nature value farmlands and farming systems. Such knowledge will then allow anticipating how environmental and policy-driven changes may impact the nature value of farmlands (biodiversity and ecosystems services provisioning) and to integrate ecosystem services and resilience-based frameworks into rural development policies, as tools to enhance sustainability and ecosystem services resilience in High Nature Value farmlands under scenarios of social-ecological change.
Publications
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Goncalves J, Alves P, Pocas I, Marcos B, Sousa-Silva R, Lomba A, Honrado JP (2016) Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species. Biodiversity and Conservation, 25(4): 2867-2888.
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Lomba A, Strohbach M, Jerrentrup JS, Dauber J, Klimek S, McCracken DI (2017) Making the best of both worlds: Can high-resolution agricultural administrative data support the assessment of High Nature Value farmlands across Europe? Ecological Indicators, 72: 118-130.
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Alcaraz-Segura D, Lomba A, Sousa-Silva R, Nieto-Lugilde D, Alves P, Georges D, Vicented JR, Honrado JP (2017) Potential of satellite-derived ecosystem functional attributes to anticipate species range shifts. International Journal of Applied Earth Observation and Geoinformation, 57: 86-92.