PUTTING A CART BEFORE THE SEARCH: SUCCESSFUL HABITAT PREDICTION FOR A RARE FOREST HERB

By Norman A. Bourg, William J. McShea, D. E. Gill. 2005

162 citations recorded by the source corpus.

Subfields: Cell Biology, Ecological Modeling, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/73fc6e3fcaf8b8696f3221bdb1c1000a9fc6a069

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In Nature and Landscape Conservation

Citations in the corpus

Predicting species distributions: a critical comparison of the most common statistical models using artificial species (2007, background): “Species with low prevalence impose a particular challenge due to the usually limited number of occurrence observations available, and the lower performance of most models when faced with small sample sizes (Bourg et al., 2005; Nielsen et al., 2005).”
A 40‐year, continent‐wide, multispecies assessment of relevant climate predictors for species distribution modelling (2014, background): “…and proliferation (Broennimann & Guisan, 2008; Villemant et al., 2011), to discover new populations or unknown species (Raxworthy et al., 2003; Bourg et al., 2005; Guisan et al., 2006), to assess the potential impact of climate, land use and other environmental changes on species…”
A global assessment of invasive plant impacts on resident species, communities and ecosystems: the interaction of impact measures, invading species' traits and environment (2012, methodology): “These estimates were then plotted against tree size, and the optimal tree chosen based on the one-SE rule, which minimizes cross-validated error within one standard error of the minimum (Breiman et al., 1984).”
Predicting species distributions in poorly-studied landscapes (2008, methodology): “To identify methods best suited to modeling in these conditions, we compared the success of three algorithms (Maxent, Mahalanobis Typicalities and Random Forests) at predicting distributions of eight bird and eight mammal species endemic to the eastern slopes of the central Andes.”
Uses and requirements of ecological niche models and related distributional models (2006, background): “Studies of this sort are growing in number (Bourg et al. 2005; Raxworthy et al. 2003).”
Species’ Distribution Modeling for Conservation Educators and Practitioners (2010, methodology): “A number of studies have demonstrated the utility of species’ distribution modeling for guiding field surveys toward regions where there is an increased probability of finding new populations of a known species (Fleishman et al., 2002; Bourg et al., 2005; Guisan et al., 2006; also see Case Study 1).”
Using species distribution models to predict new occurrences for rare plants (2009, background): “Species distribution models are already used for a variety of ecological applications such as biodiversity discovery (Raxworthy et al., 2003; Bourg et al., 2005; Guisan et al., 2006), conservation management (Cabeza et al., 2004; Zacharias & Gregr, 2005) and global warming response modelling…”
Uses and misuses of bioclimatic envelope modeling. (2012, background): “Key words: biodiversity; biogeography; climate change; climate envelopes; conservation planning; ecological niches; invasions; niche conservation; restoration ecology; species distributions; translocation experiments; uncertainty in prediction.”