Microclimate modelling at macro scales: a test of a general microclimate model integrated with gridded continental‐scale soil and weather data

By Michael R. Kearney, Alireza Shamakhy, R. Tingley, D. Karoly, A. Hoffmann, Peter R. Briggs, Warren P. Porter. 2014

126 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/6829fa1ab0434cbdd6900fb3e3d5c7547fbd9a01

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. A. Townsend Peterson
2. Jorge Soberón
3. Monica Papes
4. A. Jiménez‐Valverde
5. R. P. Anderson
6. Nick J B Isaac
7. Jorge M. Lobo
8. David Roy

In Ecology, Evolution, Behavior and Systematics

1. A. Townsend Peterson
2. Jorge Soberón
3. Nick J B Isaac
4. Monica Papes
5. David Roy
6. B. Collen
7. Dirk Maes
8. Wilfried Thuiller

In Nature and Landscape Conservation

1. A. Townsend Peterson
2. Jorge Soberón
3. Monica Papes
4. Nick J B Isaac
5. David Roy
6. A. Jiménez‐Valverde
7. A. Strien
8. Dirk Maes

Citations in the corpus

• The use of opportunistic data for IUCN Red List assessments (2015, methodology): “Finally, processed-based modelling using small-scale environmental variables (e.g., microclimate) can be used to determine the possible geographic range of species (e.g., Kearney, 2006; Kearney et al., 2014; Tomlinson et al., 2014; Panzacchi et al., 2015).”
• Mechanistic and Correlative Models of Ecological Niches (2015, background): “Compared with correlative models, which do not establish linkages between organismal physiological processes and climate, mechanistic models are able to connect physiological function to climate (Kearney et al. 2014a).”