Spatial variation of climatic and non‐climatic controls on species distribution: the range limit of Tsuga heterophylla
85 citations recorded by the source corpus.
Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/5a64d320430c4bcb4d5d1ce1cc0ccab469ac6c23
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
- Catherine H. Graham
- Robert J. Hijmans
- Carsten F. Dormann
- H. Safford
- M. D. Schwartz
- Solomon Dobrowski
- D. Gavin
- Z. Holden
In Global and Planetary Change
- Carsten F. Dormann
- Robert J. Hijmans
- Catherine H. Graham
- M. D. Schwartz
- Solomon Dobrowski
- D. Gavin
- J. Abatzoglou
- H. Safford
In Nature and Landscape Conservation
- Catherine H. Graham
- Robert J. Hijmans
- Carsten F. Dormann
- H. Safford
- M. D. Schwartz
- Solomon Dobrowski
- D. Gavin
- Z. Holden
Citations in the corpus
- The ability of climate envelope models to predict the effect of climate change on species distributions (2006, background): “... current distributions (Graham et al., 2004; Guisan & Thuiller, 2005; Elith et al., 2006); (2) evaluating the ability of CEMs to provide accurate estimates of the effect of climate change by comparing them with mechanistic approaches, as was done in this paper; (3) increasing understanding of the”
- Forest structure and species traits mediate projected recruitment declines in western US tree species (2015, background): “Estimates of the climatic water balance account for the seasonal timing of availability of water and energy and thus represent a more mechanistic link to the limiting resources that define terrestrial species distributions and productivity (Stephenson, 1990; Gavin & Hu, 2006; Littell et al., 2008).”
- Promising the future? Global change projections of species distributions (2007, background): “Some argue that including interactions precludes a transfer to new regions because of the highly specific way that variables interact in a specific region (Beerling, Huntley, & Bailey, 1995; Gavin & Hu, 2006 ).”