How Does Climate Change Affect Biodiversity?

By Miguel B. Araújo, C. Rahbek. Science, 2006

602 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8d6533ae233cef1c68fee545789a5e1bce7fc7aa

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Citations in the corpus

Modelling changes in species’ abundance in response to projected climate change (2012, methodology): “This approach has been subject to considerable criticism (Araújo & Rahbek, 2006; Beale et al., 2008), but has the attraction of providing an empirical method of assessing the relative vulnerability of species’ to future climate change which can be widely applied (Huntley et al., 2004; Jiguet et…”
Selecting predictors to maximize the transferability of species distribution models: lessons from cross‐continental plant invasions (2017, background): “Independent data sets are thus optimal when they are geographically or 111 temporally separated from the training data set (Araújo & Rahbek, 2006; Austin, 2007; Bahn & 112 McGill, 2013).”
Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change (2009, background): “…maps rather than in the model fit statistics, which have more complex properties and are difficult to interpret in the context of model ‘‘transferability’’ (i.e. projecting the results of SDM in a different region or time; Araújo et al. 2005b, Araújo and Rahbek 2006, Randin et al. 2006).”
The virtual ecologist approach: simulating data and observers (2010, background): “…behind the emergence of ecological phenomena, quantifying relationships between species presence or abundance and environmental conditions, and forecasting effects of changing environments on broad spatial and temporal scales (DeAngelis and Mooij 2005, Araújo and Rahbek 2006, Thuiller et al. 2008).”
The projection of species distribution models and the problem of non-analog climate (2009, background): “…validity of such forecasts is subject to many widely acknowledged uncertainties (Pearson and Dawson 2003; Thuiller 2004; Guisan and Thuiller 2005; Araújo and Rahbek 2006; Heikkinen et al. 2006; Pearson et al. 2006; Williamson 2006; Fitzpatrick et al. 2007), but one factor that has received less…”
The biodiversity of species and their rates of extinction, distribution, and protection (2014, background): “Furthermore, the few studies that consider predictions of changing geographical ranges from the past to the present and then calibrate them against present ranges do not always find compelling matches (87).”
A potential tool to mitigate the impacts of climate change to the caribbean leatherback sea turtle (2012, background): “Accordingly, the threat of climate change to biodiversity has received considerable research attention recently (Hampe & Petit, 2005; Araujo & Rahbek, 2006; Heller & Zavaleta, 2009; Willis & Bhagwat, 2009), to try to predict the likely effects of climate change and to enable mitigation of any…”
Forecasting the future of biodiversity: a test of single- and multi-species models for ants in North America (2011, background): “…over global change and the potential for associated species loss have increased the emphasis on understanding the factors that influence patterns of biodiversity and on forecasting how these patterns may change in the future (Thomas et al. 2004, Araujo and Rahbek 2006, Fitzpatrick et al. 2008).”
Climate Change Threatens Giant Panda Protection in the 21st Century (2015, background): “A major challenge in conservation planning for these species, in particular, is to incorporate climate change impacts into species conservation strategies (Araújo and Rahbek, 2006; Willis and Bhagwat, 2009; Strange et al., 2011).”
Fine‐scale environmental variation in species distribution modelling: regression dilution, latent variables and neighbourly advice (2011, background): “These observation errors may be derived from sampling biases in data collection (e.g. Cabral & Schurr 2010) and biases introduced by imperfect measurement (Huston 2002; Clark 2005; Araújo & Rahbek 2006; Austin 2007).”
Tools for integrating range change, extinction risk and climate change information into conservation management (2013, background): “…that are habitable for the species, but typically disregard species’ life-history traits that constrain 2-EV demographic responses to environmental factors as well as information on the spatial structure of suitable habitats that may constrain local population processes (Araújo and Rahbek 2006).”
Climate warming, dispersal inhibition and extinction risk (2008, background): “However, predicting these outcomes is subject to intense debate (Stenseth & Mysterud, 2002; Thuiller et al., 2005; Araújo & Rahbek, 2006).”