Improving species distribution models for climate change studies: variable selection and scale

By Michael P. Austin, K. V. Van Niel. 2011

648 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4b6e573c9ee00f2d2136c0fdc2e4f9ed1189d8e9

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. Miguel B. Araújo
2. A. Townsend Peterson
3. Francis Gilbert
4. Wilfried Thuiller
5. Victoria Nolan
6. Emad Kaky
7. Abdulaziz S. Alatawi
8. Janet Franklin

In Ecology, Evolution, Behavior and Systematics

1. A. Townsend Peterson
2. Miguel B. Araújo
3. Barry W. Brook
4. Victoria Nolan
5. Michael B. Ashcroft
6. Emad Kaky
7. Francis Gilbert
8. John R. Gollan

In Nature and Landscape Conservation

1. Miguel B. Araújo
2. A. Townsend Peterson
3. Wilfried Thuiller
4. Francis Gilbert
5. Victoria Nolan
6. Emad Kaky
7. Abdulaziz S. Alatawi
8. Janet Franklin

Citations in the corpus

• Uses and misuses of bioclimatic envelope modeling. (2012, background): “Perhaps the most important theo- retical assumption of these models is that species’ distributions are determined wholly or partly by aspects of climate.”
• A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants (2020, methodology): “Suggested sources of uncertainty in predictions include the SDM method, choice of predictor variables, spatial distribution and sample size, all of which can impact model accuracy and predictive power (Austin and Niel, 2011; Buisson et al., 2010; Edwards et al., 2006; Segurado and Araújo, 2004).”
• Fine‐resolution (25 m) topoclimatic grids of near‐surface (5 cm) extreme temperatures and humidities across various habitats in a large (200 × 300 km) and diverse region (2011, methodology): “For example, the 500m radius was chosen arbitrarily based on the results of Bennie et al. (2010), while larger radii have also performed well at coarser resolutions (Daly et al.”
• Tools for integrating range change, extinction risk and climate change information into conservation management (2013, background): “…on an organism’s physiological tolerance (Kearney et al. 2010), and through informed selection of environmental factors and spatial scales (Austin and Van Niel 2011), the addition of a demographic model is needed to: 1) account for important metapopulation processes such as source-sink…”