Future projections for Mexican faunas under global climate change scenarios
By A. Townsend Peterson, Miguel Ortega-Huerta, J. Bartley, V. Sánchez‐Cordero, Jorge Soberón, Robert H. Buddemeier, David R. B. Stockwell. Nature, 2002
898 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/c07a7f592734d11381cffd4e17c295ff710b25a9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Wilfried Thuiller
- A. Townsend Peterson
- Miguel B. Araújo
- Antoine Guisan
- Jorge M. Lobo
- Jane Elith
- Richard G. Pearson
- Jorge Soberón
In Ecology
- Wilfried Thuiller
- Miguel B. Araújo
- Antoine Guisan
- A. Townsend Peterson
- Jorge M. Lobo
- Jane Elith
- Richard G. Pearson
- Jorge Soberón
In Social Psychology
- Wilfried Thuiller
- Antoine Guisan
- Miguel B. Araújo
- Tim Newbold
- E. Martínez‐Meyer
- A. Bourne
- C. Randin
- Lluís Brotons
Citations in the corpus
- Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species’ current and future distributions (2005, background): “Brereton et al., 1995; Eeley et al., 1999; Beaumont and Hughes, 2002; Berry et al., 2002; Erasmus et al., 2002; Midgley et al., 2002; Peterson et al., 2002; Peterson, 2003; Williams et al., 2003; Meynecke, 2004; Thomas et al., 2004).”
- Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models (2010, methodology): “Among the many studies that have used this approach, several have used museum records to fit the models (Iverson et al., 1999; Peterson et al., 2001; 2002; Bakkenes et al., 2002; Miles et al., 2004; Hole et al., 2009).”
- Potential impacts of climate change on the distributions and diversity patterns of European mammals (2007, background): “…(Pearson and Dawson 2003), and a number of modelling studies have been initiated in order to predict potential impacts on the distribution of plants (Skov and Svenning 2004; Thuiller et al. 2005a) and animals (Kerr and Packer 1998; Peterson et al. 2002; Erasmus et al. 2002; Meynecke 2004).”
- The Mediterranean Sea as a ‘cul‐de‐sac’ for endemic fishes facing climate change (2010, background): “These rates are exceptionally high; they surpass the typical predicted turnover rates of terrestrial species (e.g., Peterson et al., 2002; Thuiller et al., 2005; Broennimann et al., 2006) and other aquatic species (e.g., Buisson et al., 2008).”
- Contrasted impacts of climate change on stream fish assemblages along an environmental gradient (2009, methodology): “This taxonomic turnover rate is slightly higher than the rate found for other organisms (Peterson et al. , 2002; Thuiller et al. , 2005, 2006a; Broenni-mann et al. , 2006; Buisson et al. , 2008).”
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (2003, background): “…scenarios of change The predictive nature of species’ geographic distributions from their ecological niches has been extended over scenarios of invasion (Peterson and Vieglais 2001), and separately over scenarios of climate change (Peterson et al. 2001; Martínez-Meyer 2002; Peterson et al. 2002b).”
- Climate change and birds: perspectives and prospects from southern Africa (2004, methodology): “This is predicted in other landscapes too (e.g. Peterson et al. 2002).”
- Modeled climate change effects on distributions of Canadian butterfly species (2004, methodology): “The general approach to ecological niche modeling of cli- mate change effects on biodiversity used herein is described in detail elsewhere (Peterson et al. 2001, 2002b) as are details of the algorithm used for modeling species’ ecological niches (see detailed description below) (Stockwell and Noble…”
- Extinction risk from climate change (2004, background): “Dispersalisassumedtobeuniversalorzero(maintext),exceptfortheMexicanstudyinwhich‘universaldispersal’ismovementthroughcontiguous habitats 11 .”
- Climate change hastens the turnover of stream fish assemblages (2008, background): “To deal with this dispersal problem, studies usually propose two extreme assumptions: ‘universal dispersal’ opposed to ‘no dispersal’ (e.g. Peterson, 2003; Thuiller et al., 2006a).”
- Predicting the spatial distribution of an invasive plant species (Eupatorium adenophorum) in China (2007, methodology): “The predictive power of this approach has been well tested in applications such as biogeography and conservation (Ortega-Huerta and Peterson 2004; Araújo et al. 2005) and in assessing the effects of global climate change (Peterson et al. 2002; Parra-Olea et al. 2005).”