Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia

By Sunil Kumar, Thomas J. Stohlgren. 2009

543 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/66b88f62b73226934f6f7216efbcf31ac1e7ef61

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. Sunil Kumar
2. Thomas J. Stohlgren
3. Jim Graham
4. Amanda M. West
5. A. Flory
6. Paul H. Evangelista
7. P. Cryan

In Genetics

1. Sunil Kumar
2. Thomas J. Stohlgren
3. P. Cryan

In Molecular Biology

1. Sunil Kumar

Citations in the corpus

• Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (2014, background): “Risk maps that show the potential distribution of P. solenopsis will be important management tools for early detection and monitoring, and integrated pest management planning (Macfadyen and Kriticos, 2012).”
• Environmental conditions associated with bat white‐nose syndrome mortality in the north‐eastern United States (2012, background): “…shows great promise for predicting ecological niches of species (Elith et al. 2006; Ortega-Huerta & Peterson 2008) and has been proven effective even on data sets with small sample sizes (Hernandez et al. 2006; Pearson et al. 2007; Wisz et al. 2008; Benito et al. 2009; Kumar & Stohlgren 2009).”
• Modeling habitat and bycatch risk for dugongs in Sabah, Malaysia (2014, unknown): “Both interview and monitoring surveys relied on qualitative assessments of dugong sightings, strandings, and hunting incidences (Rajamani & Marsh 2010, Pilcher & Kwan 2012).”
• Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China (2017, methodology): “…entropy model (Maxent version 3.3.3; (Phillips et al., 2006); http://www.cs.princeton.edu/ wschapire/maxent/) in this study because it has been shown to perform better with small sample sizes relative to other modeling methods (Elith et al., 2006; Pearson et al., 2007; Kumar and Stohlgren, 2009).”