2026-07-01T13:07:34Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/76882023-08-25T19:53:06Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Maldonado, A. D.
author
Valdivieso, A.
author
Rescia Perazzo, Alejandro Javier
author
Aguilera, Ángeles
2023-06-17T08:57:17Z
2023-06-17T08:57:17Z
2020-06-22
2351-9894
10.1016/j.gecco.2020.e01162
https://hdl.handle.net/20.500.14352/7688
https://www.sciencedirect.com/science/article/pii/S2351989420307034
Climate change has been related to the current loss of global biodiversity. In this paper, the effects of different scenarios of climate change on the distribution of the four classes of terrestrial vertebrate species in Andalusia (Spain) are explored. The goal is to obtain potential climatically suitable areas for each group (amphibians, reptiles, mammals and birds) under each proposed scenario and examine the usefulness of the current static design of protected areas. We propose a methodology to construct habitat suitability models, which are used to predict the expected species richness given each projected scenario of climate change. The relative change of the species richness within National and Natural Parks, remainder of Natura (2000) network and unprotected areas is compared. The results of the study show a broad effect of climate change on the species richness distribution. In general, there is a loss of specific richness and a restricted availability of suitable areas. The protected areas located in higher altitudes maintain the best conditions for the survival of the taxa considered in the proposed climate change scenarios.
eng
Atribución-NoComercial-SinDerivadas 3.0 España
Probabilistic graphical models for species richness prediction: Are current protected areas effective to face climate emergency?
journal article
URL
https://docta.ucm.es/bitstreams/281ee88a-04f8-4d0b-8467-3ce629af5fe2/download
File
MD5
9dd670934735b852bfbd6fc8c9b9c249
13601983
application/pdf
Valdivieso-DBEE-Probabilistic-graphical-models.pdf