Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/86735
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Forecasting plant range collapse in a mediterranean hotspot: when dispersal uncertainties matter |
Autor: | Benito de Pando, B. M.; Lorite Moreno, J.; Pérez Pérez, Ramón; Gómez Aparicio, Lorena CSIC ORCID ; Peñas de Giles, Julio | Palabras clave: | Cellular automaton Dispersal kernel Dynamic species distribution models Global warming Range shift |
Fecha de publicación: | nov-2013 | Editor: | Wiley-Blackwell | Citación: | Diversity and Distributions: 1-12 (2013) | Resumen: | Aim The Mediterranean Basin is threatened by climate change, and there is an urgent need for studies to determine the risk of plant range shift and potential extinction. In this study, we simulate potential range shifts of 176 plant species to perform a detailed prognosis of critical range decline and extinction in a transformed mediterranean landscape. Particularly, we seek to answer two pivotal questions: (1) what are the general plant-extinction patterns we should expect in mediterranean landscapes during the 21st century? and (2) does dispersal ability prevent extinction under climate change? Location Andalusia: southern Iberian Peninsula; 87,597 km2; 300 by 520 km. Methods We gathered information on the dispersal traits of 176 plant species (dispersal vector, average and maximum dispersal distances, shape of the dispersal kernel). We used these data to feed a stochastic dynamic species distribution model (a combination of a cellular automaton with an ensemble of species distribution models) to simulate plant range shift under climate change with realistic dispersal under two different warming scenarios. We compared dispersal and non-dispersal simulations to assess the influence that climate change and species-distribution characteristics exert on plant-extinction patterns. Results The dispersal simulation showed a lower percentage of extinct (−1%) and quasi-extinct species (−19%) than did the non-dispersal simulation. Summer temperatures of 37 °C and 33 °C, respectively, accelerated the critical range decline and extinction rates. The average elevation of the plant populations was the variable with the highest influence on extinction probability. Main conclusions Stochastic dynamic species distribution models proved to be useful when there was lack of data on dispersal distances and population dynamics. Dispersal ability showed minor effectiveness in preventing extinction, but greatly reduced the likelihood of critical range decline for a significant percentage of species. | Versión del editor: | http://dx.doi.org/10.1111/ddi.12148 | URI: | http://hdl.handle.net/10261/86735 | DOI: | 10.1111/ddi.12148 | ISSN: | 1366-9516 | E-ISSN: | 1472-4642 |
Aparece en las colecciones: | (IRNAS) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Forecasting plant range.pdf | 1,31 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
18
checked on 18-abr-2024
WEB OF SCIENCETM
Citations
15
checked on 27-feb-2024
Page view(s)
318
checked on 23-abr-2024
Download(s)
439
checked on 23-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.