2013
DOI: 10.1111/ddi.12148
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Forecasting plant range collapse in a mediterranean hotspot: when dispersal uncertainties matter

Abstract: 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 th… Show more

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Cited by 20 publications
(16 citation statements)
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“…With the advance of climate change, plants will be exposed to more extreme abiotic stresses (Fitzpatrick et al 2008 ; Lindner et al 2010 ; Benito et al 2014 ). Increased abiotic stress will likely affect the geographic ranges of plants, and could increase the impact on AM fungi due to their reduced ability to migrate in response to a changing environment (Fitter et al 2000 ).…”
Section: Discussionmentioning
confidence: 99%
“…With the advance of climate change, plants will be exposed to more extreme abiotic stresses (Fitzpatrick et al 2008 ; Lindner et al 2010 ; Benito et al 2014 ). Increased abiotic stress will likely affect the geographic ranges of plants, and could increase the impact on AM fungi due to their reduced ability to migrate in response to a changing environment (Fitter et al 2000 ).…”
Section: Discussionmentioning
confidence: 99%
“…When applied to distribution data, they can predict distributions across geographic landscapes by multiple responses, improve image analysis or remote-sensing in order to lead the search for poorly known species [65][66][67][68], thus providing perceptions into the species' habitat, range and abundance [69][70][71][72][73]. Furthermore, several authors like Elith and Leathwick [74], Benito et al [75], Fois et al [76], and De Luis et al [77,78] used SDMs based on the extant localities, as well as the respective current and future climate scenarios to predict the possible variation in the environmental niche of certain plant species, inferring ecological and evolutionary insights.…”
Section: Species Distribution Modelsmentioning
confidence: 99%
“…Most hybrid approaches pair SDMs with mechanistic models to overcome the limitations of correlative SDMs (Dormann et al, ; Singer et al, ). For example, Benito, Lorite, Pérez‐Pérez, Gómez‐Aparicio, & Peñas () combined the results of species distribution models for 176 plant species in the southern Iberian Peninsula with dispersal kernel analysis to forecast the range declines of these species by 2100. Furthermore, Naujokaitis‐Lewis et al () paired species distribution and meta‐population models, including environmental conditions and population processes, to measure possible range shifts of the hooded warbler in an area encompassing the eastern USA and southern Ontario, Canada in 2080, based on ranges defined for the years 1985–2005.…”
Section: Methods and Metrics For Measuring Changes In Species Ranges mentioning
confidence: 99%