2006
DOI: 10.1111/j.1365-2486.2006.01140.x
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Endemic species and ecosystem sensitivity to climate change in Namibia

Abstract: We present a first assessment of the potential impacts of anthropogenic climate change on the endemic flora of Namibia, and on its vegetation structure and function, for a projected climate in similar to 2050 and similar to 2080. We used both niche-based models (NBM) to evaluate the sensitivity of 159 endemic species to climate change (of an original 1020 plant species modeled) and a dynamic global vegetation model (DGVM) to assess the impacts of climate change on vegetation structure and ecosystem functioning… Show more

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Cited by 116 publications
(97 citation statements)
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References 61 publications
(73 reference statements)
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“…Currently, the choice of predictors remains a challenge (Ashcroft et al, 2011) and it is remarkable that a lot of studies do not use an objective selection method (Acevedo et al, 2012;Elith and Leathwick, 2009;Elith et al, 2006;Phillips et al, 2006;Thuiller et al, 2006;Zimmermann et al, 2009) Early test runs of the models indicated that validation results also improved when both training and test points in Namibia and South Africa -that had a relative overrepresentation of occurrences and thus induced a bias in the data -were reduced. However, when only the training points were reduced, the model performed worse because of the bias in the test points.…”
Section: Input Data Of Sdmmentioning
confidence: 99%
“…Currently, the choice of predictors remains a challenge (Ashcroft et al, 2011) and it is remarkable that a lot of studies do not use an objective selection method (Acevedo et al, 2012;Elith and Leathwick, 2009;Elith et al, 2006;Phillips et al, 2006;Thuiller et al, 2006;Zimmermann et al, 2009) Early test runs of the models indicated that validation results also improved when both training and test points in Namibia and South Africa -that had a relative overrepresentation of occurrences and thus induced a bias in the data -were reduced. However, when only the training points were reduced, the model performed worse because of the bias in the test points.…”
Section: Input Data Of Sdmmentioning
confidence: 99%
“…The impact of global change on Africa's dry forests is unclear as predicted climate changes vary at a regional scale while increasing CO 2 and drought can have opposite effects on tree cover (Hély et al 2006;Lucht et al 2006;Thuiller et al 2006;Leadley 2010;. Transition zones from open dry forest to shrub and grassland can expect the largest impact, particularly where mean annual rainfall has a pronounced effect on woody cover (Sankaran et al 2005(Sankaran et al , 2008 (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…The large majority of recent studies on climate change impacts have therefore focused on the estimation of the shifts in species ranges that are expected according to different climatic and land use scenarios. These studies are mainly based on species distribution modelling and are employed in order to forecast changes in the distribution of single species Araujo et al, 2006;Beaumont et al, 2007;Huntley et al, 2007;McKenney et al, 2007;Lawler et al, 2009), ecosystems (Berry et al, 2003;Thuiller et al, 2006) or biodiversity (Bakkenes et al, 2002;Thuiller et al, 2005;Dormann et al, 2008). These techniques allow forecasting changes and are therefore important tools for current conservation planning in order to mitigate the impacts of climate and land use change on biodiversity .…”
Section: Introductionmentioning
confidence: 99%