Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates: Nycticebus)

By J. Thorn, V. Nijman, D. Smith, K. Nekaris. 2009

280 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/5a76a47ddf7a3f28a8e2a6bbbd35bb8fe1dc4805

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

In Ecology

In Social Psychology

Citations in the corpus

Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias (2014, background): “They can also assess the potential expansion of introduced species in newly colonized areas [17,18], estimate the future range of a species under climate change [18,19] or assist in reserve planning [20].”
Using species distribution models to inform IUCN Red List assessments (2014, background): “An approach to remedy this is to opt for the minimum training presence threshold (MTP; also termed lowest presence threshold; Pearson et al. (2007) that predicts all observations of a species as present (Pearson et al. 2007; Thorn et al. 2009).”
Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models (2010, background): “Several studies have used distribution models to assess the protection afforded to threatened species by existing protected areas networks and to propose additions to these networks that would benefit the species concerned (Papeş and Gaubert, 2007; Solano and Feria, 2007; Thorn et al., 2009).”
Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia (2009, methodology): “However, comparatively few predictive models have been used for rare and endangered plant species (Engler et al., 2004) and there are fewer examples of studies using small sample sizes (For example, Pearson et al., 2007; Thorn et al., 2009).”
Focusing Conservation Efforts for the Critically Endangered Brown-headed Spider Monkey (Ateles fusciceps) Using Remote Sensing, Modeling, and Playback Survey Methods (2011, background): “These areas of overprediction are useful in identifying priority areas for fieldwork, to confirm presence or absence of the study species (Thorn et al. 2009).”
Use of Maximum Entropy Modeling in Wildlife Research (2009, methodology): “Kappa [3,26,27] and jackknife statistics [16,20,27] are also used to test models.”
Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China (2017, background): “…range of a species given presence-only occurrence data and environmental variables assumed to influence its distribution (Raxworthy et al., 2003; Anderson and Martinez-Meyer, 2004; Franklin andMiller, 2009; Thorn et al., 2009; Elith and Leathwick, 2009; Peterson et al., 2011;Wilson et al., 2011).”