Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study

article

Gerassis, Saki
Albuquerque, M.T.D
Roque, Natália
Ribeiro, Sílvia
Taboada, Javier
Ribeiro, M. M.A.

Elsevier

GERASSIS, Saki [et al.] (2021) - Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study. Forest Ecology and Management. ISSN 0378-1127. Vol. 491, p. 119150. Doi: https://doi.org/10.1016/j.foreco.2021.119150

0378-1127

10.1016/j.foreco.2021.119150

Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study

Arbutus unedo
Climate change
Bayesian network
Habitat suitability
Migration
Natural refuge

info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FAGR%2F00239%2F2013/PT
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBSAB%2F113895%2F2015/PT
info:eu-repo/grantAgreement/FCT/5876/UID%2FAMB%2F00681%2F2013/PT
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBSAB%2F127907%2F2016/PT
FCT CERNAS UID/AMB/00681/2019

2021-07-05T10:14:10Z
2021
2023-12-31

Climate change is already a reality, and habitat loss is affecting relentlessly tree species distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean evergreen tree used in this article as a case study to evince its expected threatening situation in the upcoming age. This research work seeks to identify the bioclimatic and physiographic variables that have the most impact on the strawberry tree’s spatial distribution in Portugal, acquiring vital knowledge for the design of accurate conservation and afforestation plans for the use and conservation of strawberry tree, working as a guide under a climate change scenario. For that, twenty-one bioclimatic variables, two physiographic attributes (altitude and slope), and the Emberger Index (EI) were used together with 318 observations of strawberry trees, to build a scalable Bayesian procedure, based on machine learning techniques, aimed to assess the species’ future habitat evolution through three temporal scenarios: (i) Control Run (1960–1990); (ii) 2050 and (iii) 2070. The results indicate for 2050 a 30% loss of the humid subregion and a 35% increase in the semi-arid sub-region towards the north. In 2070, it is expected a 2% recuperation for the sub-humid area, but an 8% loss of the humid sub-area. Under these extreme climate change conditions, it is anticipated an almost complete loss of habitat for the strawberry tree in the south of Portugal. The expected ecological evolvability may trigger future migration paths and new refuges’ settlement in the northern sub-region for the succeeding decades and suggesting after 2070 the possibility of habitat switch and species drifting.
info:eu-repo/semantics/publishedVersion

restrictedAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/

eng