2014
DOI: 10.1111/gcb.12763
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Differential effects of temperature change and human impact on European Late Quaternary mammalian extinctions

Abstract: Species that inhabited Europe during the Late Quaternary were impacted by temperature changes and early humans, resulting in the disappearance of half of the European large mammals. However, quantifying the relative importance that each factor had in the extinction risk of species has been challenging, mostly due to the spatio-temporal biases of fossil records, which complicate the calibration of realistic and accurate ecological niche modeling. Here, we overcome this problem by using ecotypes, and not real sp… Show more

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Cited by 20 publications
(22 citation statements)
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“…To our knowledge, this is the first study successfully applying SDMs to determine whether extinct and extant megafauna were characterized by different climatic tolerances. Our results suggest that climatic niche evolution, rather than niche width, was key to the megafauna survival from the Last Interglacial to the early Holocene (Varela, Lima‐Ribeiro, Diniz‐Filho & Storch, ). While none of our models explicitly predicts extinction for any of the species we considered, we found strong patterns of co‐occurrence, and clear evidence of climatic specialization to the so‐called mammoth steppe for both M. primigenius and C. antiquitatis .…”
Section: Discussionmentioning
confidence: 81%
“…To our knowledge, this is the first study successfully applying SDMs to determine whether extinct and extant megafauna were characterized by different climatic tolerances. Our results suggest that climatic niche evolution, rather than niche width, was key to the megafauna survival from the Last Interglacial to the early Holocene (Varela, Lima‐Ribeiro, Diniz‐Filho & Storch, ). While none of our models explicitly predicts extinction for any of the species we considered, we found strong patterns of co‐occurrence, and clear evidence of climatic specialization to the so‐called mammoth steppe for both M. primigenius and C. antiquitatis .…”
Section: Discussionmentioning
confidence: 81%
“…If extinctions occurred by chance, we would expect more threatened species in areas with higher species richness which is, in turn, largely determined by latitudinal gradients in climatic conditions affecting the availability of energy and water (Hawkins et al 2003, Terribile et al 2009). However, extinctions do not occur by chance but are instead largely shaped by human activities, such as direct persecution or habitat modifications (Russell et al 2013); and extreme climatic events, such as past ice ages or current climate change (Thuiller et al 2011, Varela et al 2015. As a result, the relationship between environmental factors, overall species richness, and the number of threatened species is not straightforward and shows spatial heterogeneity (Orme et al 2005, Ceballos and Ehrlich 2006, Brum et al 2013.…”
Section: Introductionmentioning
confidence: 99%
“…resources about biodiversity (e.g., GBIF 2 , Paleobiology Database 3 , speciesLink 4 ), and exciting new computational tools (e.g., the new R packages; rgbif: Chamberlain et al, 2013;rAvis: Varela et al, 2014a;paleobioDB: Varela et al, 2014b), have facilitated fundamental analyses by macroecologists and biogeographers on broad scales. The multi-temporal climate data have been used to explore effects of past (Varela et al, 2015a) and future (Thomas et al, 2004) climate change; to understand past extinction events ; and to test hypotheses concerning population dynamics (Barrientos et al, 2014), evolutionary processes (Araújo et al, 2013;Saupe et al, 2014), and ecological dynamics (Martínez-Meyer et al, 2004;. Data layers summarizing climatic information are created by interpolating continuous surfaces from real (generally point-based) observations, or by modeling conditions based on complex simulations describing key processes of atmospheric and ocean circulation, the so-called general circulation models (GCMs; Braconnot et al, 2007).…”
mentioning
confidence: 99%