Modelling spatial patterns of biodiversity for conservation prioritization in North‐eastern Mexico

By Miguel Ortega-Huerta, A. Townsend Peterson. 2004

154 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9c306df3b62f6bb30cde1d66b8a97cafb8400d05

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

1. J. Diniz-Filho
2. Paulo De Marco Jr
3. Miguel B. Araújo
4. Asaf Tsoar
5. Omri Allouche
6. E. Martínez‐Meyer
7. Wilfried Thuiller
8. L. Silveira

In Ecology

1. J. Diniz-Filho
2. Paulo De Marco Jr
3. R. Kadmon
4. Asaf Tsoar
5. Omri Allouche
6. O. Steinitz
7. E. Martínez‐Meyer
8. Jesús Muñoz

In Nature and Landscape Conservation

1. J. Diniz-Filho
2. Asaf Tsoar
3. Omri Allouche
4. Paulo De Marco Jr
5. Miguel B. Araújo
6. Wilfried Thuiller
7. E. Martínez‐Meyer
8. L. Silveira

Citations in the corpus

• A comparative evaluation of presence‐only methods for modelling species distribution (2007, background): “Consequently, ecologists and conservation scientists increasingly rely on predictive models as a means for estimating patterns of species distribution and informing conservation strategies (Peterson & Robins, 2003; Araujo et al ., 2004; Ortega-Huerta & Peterson, 2004; SánchezCordero et al ., 2005).”
• Predicting the Distribution of the Amphibian Pathogen Batrachochytrium dendrobatidis in the New World 1 (2005, result): “These results parallel those of other investigations that have shown a high predictive power of distribution ranges from niche modeling (e.g., Anderson et al. 2002b, 2003; Peterson et al. 2002a, 2003, 2004; Peterson 2003; Ortega-Huerta & Peterson 2004).”
• Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation (2009, background): “Some examples can be found in Anderson et al. (2002), Ortega-Huerta and Peterson (2004), Peterson et al. (2004), and García (2006).”
• Climate Change and Biodiversity: Some Considerations in Forecasting Shifts in Species' Potential Distributions (2005, background): “…Hughes 2002; Burns et al. 2003; Dunbar 1998; Erasmus et al. 2002; Iverson and Prasad 2001; Meynecke 2004; Midgley et al. 2002; Midgley et al. 2003; Ortega-Huerta and Peterson 2004; Peterson et al. 2002; Skov and Svenning 2004; Tellez-Valdes and Davila- Aranda 2003; Thomas et al. 2004; Williams et…”
• 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).”
• Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity (2010, methodology): “For example, the two presences used by Ortega-Huerta & Peterson (2004) and byMcClean et al. (2005), four by Loiselle et al. (2003) and by Cuesta-Camacho et al. (2006), or the seven to 12 presences used by Anderson & Martinez-Meyer (2004).”
• Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics (2012, background): “…efficiently, predicting potential climate change impacts and indicating areas for habitat restoration or species reintroduction (Stockwell & Peters, 1999; Lim et al., 2002; Peterson et al., 2002; Guisan & Thuiller, 2005; Johnson & Gillingham, 2005; Ortega-Huerta & Peterson, 2005; Miller, 2010).”