Habitat Suitability Models and the Shortfall in Conservation Planning for African Vertebrates
By C. Rondinini, Simon N. Stuart, L. Boitani. 2005
158 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/a2360718404d7824a315d46d3cad715654cd30f0
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
- S. Butchart
- Kevin J. Gaston
- Emilio Padoa-Schioppa
- C. Rondinini
- Gentile Francesco Ficetola
- Anna Bonardi
- Richard A. Fuller
- A. Rodrigues
In Ecology
- S. Butchart
- Kevin J. Gaston
- Gentile Francesco Ficetola
- Richard A. Fuller
- Emilio Padoa-Schioppa
- Anna Bonardi
- C. Rondinini
- T. Brooks
In Nature and Landscape Conservation
- Kevin J. Gaston
- A. Rodrigues
- T. Brooks
- Emilio Padoa-Schioppa
- Richard A. Fuller
- C. Rondinini
- Gentile Francesco Ficetola
- Anna Bonardi
Citations in the corpus
- Poor overlap between the distribution of Protected Areas and globally threatened birds in Africa (2011, methodology): “It develops and complements previous habitat suitability mapping efforts carried out on African amphibians and mammals (Rondinini et al., 2005, 2006b; Rondinini & Boitani, 2006).”
- Conservation planning and the IUCN Red List (2008, methodology): “Rondinini et al. (2005) used information on habitat preferences to build habitat suitability models within geographic range (EOO) data to derive an estimated area of occupancy for African vertebrates in order to better assess shortfalls in the continent’s reserve network.”
- The sizes of species’ geographic ranges (2009, methodology): “The distributions predicted by habitat suitability surfaces may be tested using local occurrence data ( Rondinini et al . 2005; Rondinini & Boitani 2007).”
- Do habitat suitability models reliably predict the recovery areas of threatened species (2010, unknown): “In this context, habitat suitability models (HSMs), which produce maps of the distribution of suitable habitats, are fundamental tools as they support the geographic perspective for conservation strategies (Barbosa 2003; Rondinini et al. 2005; Pearce &Boyce 2006).”
- Interactive Effects of Water Temperature and Salinity on Growth and Mortality of Eastern Oysters, Crassostrea virginica: A Meta-Analysis Using 40 Years of Monitoring Data (2017, background): “…management impacts, or recommend sustainable harvest thresholds, ensuring that model inputs for growth andmortality reflect local populations and conditions, particularly in variable and changing environments, becomes critical (Rondinini et al. 2005, Soniat et al. 2012, Nilsson et al. 2016).”
- An evaluation of the robustness of global amphibian range maps (2014, background): “While these may be acceptable for large-scale biogeographical analyses, they are known to affect conservation prioritization analyses (Hurlbert & White, 2005; Rondinini et al., 2005, 2011; Hurlbert & Jetz, 2007; Cant u-Salazar & Gaston, 2013).”