Bioclimatic modelling, landscape structure, biodiversity and climate change
The work carried out in this WP is on floristic and faunistic diversity in Portugal and statistical analysis in order to relate indicators linked to biological communities with biophysical attributes and agroforestry models. Modelling Mediterranean species to evaluate the past and present species distribution range, using the strawberry tree as a case-study and different software types.
Team & Collaborators
- Margarida Ribeiro | WP leader
- José Carlos Gonçalves
- Teresa Albuquerque
- Catarina Gavinhos
- Luís Quinta-Nova
- Paulo Gomes
- Paulo Fernandez
- Maria João Martins
- Manuel Lameiras Campagnolo
- Saki Gerassis Davite
- Célia Nunes
- Alice Almeida | Grantee, C4-UBI
Publications
- To appear.
Related publications
- Ribeiro, M. M., Roque, N., Ribeiro, S., Gavinhos, C., Castanheira, I., Quinta-Nova, L., Albuquerque, T., Gerassis, S. (2019) Bioclimatic modeling in the Last Glacial Maximum, Mid-Holocene and facing future climatic changes in the strawberry tree (Arbutus unedo L.). In PLoS One 14: e0210062.
- Alegria, C., Quinta-Nova, L.C., Roque, N., Navalho, I. (2019). Mapping Forest Landscape Multifunctionality Using Multicriteria Spatial Analysis. In Floresta Ambiente. 26(2).
- Cerdeira, J.O., Monteiro-Henriques, T., Martins, M.J., Silva, P.C., Alagador, D., Franco, A.M.A., Campagnolo, M.L., Arsénio, P., Aguiar, F.C., Cabeza, M. (2018) Revisiting niche fundamentals with Tukey depth. In Methods in Ecology and Evolution 9: 2349-2361.
Related activities
- CULTIVAR – Rede de competências para o desenvolvimento sustentável e inovação no setor Agroalimentar. CENTRO-01-0145-FEDER-000020. Portugal 2020. Participants: Universidade de Coimbra (UC), Instituto Politécnico de Castelo Branco (IPCB), Associação Centro de Apoio Tecnológico Agroalimentar de Castelo Branco (CAATA), Instituto Pedro Nunes (IPN). IP: Funding: 2 344 688,13 €. PI: Professor Helena de Freitas. Started 16-12-2019 ends 15-12-2022.
- Albuquerque MTD, Gerassis S, Roque N, Ribeiro S, Boente C, Ribeiro MM. 2019. Ecological modelling under climate change scenarios – a machine learning approach. 20th Annual Conference of the International Association for Mathematical Geosciences, Pennsylvania, USA. August 2019 (oral communication).
- Almeida AM, Ribeiro MM, Martins MJ, Campagnolo ML, Gerassis S, Fernandez P, Albuquerque MTD, Gonçalves JC. 2020. MaxEnt modelling to predict current and future distributions of Arbutus unedo L. under climate change in the Mediterranean region. ECBC Amsterdam 2020. Early Career Biogeographers Conference, April 17-19th, Amsterdam, Netherlands (accepted for oral communication).