Predicting the distribution of Sasquatch in western North America: anything goes with ecological niche modelling

By Jeffrey D. Lozier, Peter Aniello, Michael J. Hickerson. 2009

174 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/7d7e769517f086587108bf4868a3f4c0c318236d

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 Global and Planetary Change

Citations in the corpus

Phylogeography's past, present, and future: 10 years after Avise, 2000. (2010, background): “Although ENMs are a recently developed application with various sources of error (Araújo and Guisan, 2006; Lozier et al., 2009; Stockwell and Peterson, 2002), this enterprise is rapidly advancing and we are bound to see important advances in the near-future.”
Using species distribution models in paleobiogeography: A matter of data, predictors and concepts (2011, background): “The taxonomic identification of the fossil remains is also highly dependent on the paleontologists' interpretation (Lister et al., 2005; Mounier et al., 2009), a taxonomic unevenness that may condition the results and conclusions obtained from the application of SDMs (see Lozier et al., 2009).”
Biotic interactions influence the projected distribution of a specialist mammal under climate change (2012, methodology): “The I similarity statistic used in this study has recently been applied to species distribution modelling by Lozier et al. (2009) as a measure of the degree of similarity between two distribution model outputs.”
Atlas of Brazilian Snakes: Verified Point-Locality Maps to Mitigate the Wallacean Shortfall in a Megadiverse Snake Fauna (2019, background): “Models with low quality input data, including unchecked presence points, outdated or erroneous taxonomy, and positional errors (which are often the case in raw museum data), will inevitably result in poor outputs (Lozier et al., 2009).”
Moving beyond static species distribution models in support of conservation biogeography (2010, result): “2007), and have even been satirized (Lozier et al. 2009).”
How Useful Are Species Distribution Models for Managing Biodiversity under Future Climates (2010, background): “Strong correlations may allow climate data to predict species occurrences, even if climate has little to do with a species’ distribution (Lozier et al. 2009).”
Beyond scarcity: citizen science programmes as useful tools for conservation biogeography (2010, background): “However, these datasets are highly heterogeneous in their coverage and quality, and in their ability to serve for modelling species distribution (Araújo & New, 2007; Lozier et al., 2009).”
Conservation biogeography – foundations, concepts and challenges (2010, background): “…the response of species and ecosystems to predicted climate change, our knowledge of how important climate is in determining range limits (relative to many other factors) is inadequate for accurate modelling and forecasting (Whittaker et al., 2005; Lozier et al., 2009; Feeley & Silman, 2010).”
Accounting for uncertainty when mapping species distributions: The need for maps of ignorance (2011, background): “Taxonomic identifications are also a potential source of imprecision, due either to misidentifications (Lozier et al., 2009; Soberón and Peterson, 2004; Stribling et al., 2003) or to lack of adequate taxonomic knowledge (including synonymies; see Baselga et al., 2010).”