Using species distribution modelling to disentangle realised versus potential distributions for rare species conservation
By Arnald Marcer, L. Sáez, R. Molowny‐Horas, Xavier Pons, Joan Pino. 2013
147 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/6d3ef1c8f7dd0b84a37d8424c9dd2e2f7904d294
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. Bachman
- Matthew J. Smith
- Lucas Joppa
- M. Syfert
- David A. Coomes
- N. Brummitt
- J. López‐Pujol
- R. P. Anderson
In Ecology
- S. Bachman
- Matthew J. Smith
- Lucas Joppa
- M. Syfert
- David A. Coomes
- N. Brummitt
- R. P. Anderson
- Mariya Shcheglovitova
In Nature and Landscape Conservation
- S. Bachman
- Matthew J. Smith
- Lucas Joppa
- M. Syfert
- David A. Coomes
- N. Brummitt
- J. López‐Pujol
- R. P. Anderson
Citations in the corpus
- Using species distribution models to inform IUCN Red List assessments (2014, background): “Moreover, the SDM EOO tends to provide a conservative estimate of the true EOO (Appendix 9b), although a minority of the SDM estimates are actually larger than the true EOO – an over-prediction that would preferably be avoided when making IUCN assessments.”
- Assessing the Relevance of Herbarium Collections as Tools for Conservation Biology (2017, background): “On another hand, studies on rare plants (e.g., Williams et al., 2009; Marcer et al., 2013; McCune, 2016; Vroh et al., 2016; Tang et al., 2017) or threatened plants (e.”