Species distribution models in conservation biogeography: developments and challenges
By Janet Franklin. 2013
370 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/c567f18166a6a15470829a9ebe06aa1b6418e0d9
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
- N. Barve
- Luis Osorio-Olvera
- M. Cobos
- A. Townsend Peterson
- H. A. Narouei-Khandan
- A. V. Van Bruggen
- Jun Tao
- Yin Zhang
In Ecology
- N. Barve
- Luis Osorio-Olvera
- M. Cobos
- A. Townsend Peterson
- H. A. Narouei-Khandan
- A. V. Van Bruggen
- Jun Tao
- Yin Zhang
In Nature and Landscape Conservation
- N. Barve
- A. Townsend Peterson
- Luis Osorio-Olvera
- M. Cobos
- Jun Tao
- Yin Zhang
- Susan P. Worner
- Keliang Zhang
Citations in the corpus
- kuenm: an R package for detailed development of ecological niche models using Maxent (2019, background): “Ecological niche modeling (ENM) is a set of analytical tools ( Peterson et al., 2011 ) with many potential applications in conservation planning ( Franklin, 2013 ), climate change impacts ( Searcy & Shaffer, 2016 ), biological invasions ( Jiménez-Valverde et al., 2011 ), and the geography of…”
- Predicting the Potential Distribution of Paeonia veitchii (Paeoniaceae) in China by Incorporating Climate Change into a Maxent Model (2019, background): “Species distribution modeling (SDM) can definitely help researchers to determine the ecological requirements of various species and predict the potential range of species based on ecology and biogeography; this is especially true when limited data are available [9].”
- Global climate suitability of citrus huanglongbing and its vector, the Asian citrus psyllid, using two correlative species distribution modeling approaches, with emphasis on the USA (2016, background): “Secondly, the resolution of environmental data, the quality of occurrence records, and spatial autocorrelation should be taken into account (Franklin 2013).”
- Assessing the Relevance of Herbarium Collections as Tools for Conservation Biology (2017, background): “Aiming to predict the probability of species’ occurrence and habitat suitability, distribution models associate georeferenced observations of plants with multiple environmental variables (Franklin, 2013).”