A framework for community interactions under climate change.
By Sarah E. Gilman, M. C. Urban, J. Tewksbury, G. Gilchrist, Robert D. Holt. Trends in Ecology & Evolution, 2010
1,340 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Genetics
View Paper: https://www.semanticscholar.org/paper/dca464dd67bde4b4e99605fcbf6659250085fa08
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
- A. Townsend Peterson
- Miguel B. Araújo
- Antoine Guisan
- Wilfried Thuiller
- Jane Elith
- Jorge M. Lobo
- Jorge Soberón
- R. P. Anderson
In Ecology, Evolution, Behavior and Systematics
- A. Townsend Peterson
- Miguel B. Araújo
- Wilfried Thuiller
- Antoine Guisan
- Jane Elith
- C. Rahbek
- R. P. Anderson
- N. E. Zimmermann
In Genetics
- A. Townsend Peterson
- Jorge Soberón
- R. P. Anderson
- Miguel B. Araújo
- Jane Elith
- Wilfried Thuiller
- Antoine Guisan
- C. Rahbek
Citations in the corpus
- Impacts of global climate change on the floras of oceanic islands – Projections, implications and current knowledge (2015, background): “Compared to continental ecosystems, oceanic islands have relatively low species numbers, simple biotic community structures and can be characterised as ‘closed communities’ with limited biotic exchange (Whittaker and Fernández-Palacios, 2007; Gilman et al., 2010).”
- Direct and indirect effects of climate change on soil microbial and soil microbial‐plant interactions: What lies ahead? (2015, neutral): “1 and 2) (Gilman et al. 2010, Adler et al. 2012, Steinauer et al. 2015).”
- How does climate change cause extinction? (2013, positive): “Many authors have predicted that altered species interactions may be an important cause of extinction resulting from climate change (e.g. [67,68]), and our results empirically support the importance of these interactions (relative to other factors) among documented cases of local extinction.”
- The effects of climate change on species composition, succession and phenology: a case study (2011, background): “Identifying the potential consequences of climate change as a driver for shifts in species interactions and population growth of introduced species is of one the most pressing goals in ecology (Sala et al., 2000; Zeidberg & Robison, 2007; Gilman et al., 2010; Hillebrand et al., 2010).”
- Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being (2017, positive): “The idiosyncrasies of species responses to climate change can result in discordant range shifts, leading to novel biotic communities as species separate or come into contact innewways (23).”
- Potential for evolutionary responses to climate change – evidence from tree populations (2013, background): “Also, failing to account for changes in biotic interactions that may be associated with climatic change could cause models to under- or overestimate extinction risks (Gilman et al., 2010).”
- The portfolio concept in ecology and evolution (2015, background): “While ecology and conservation science tend to assume that a thorough understanding of ecosystems is required for developing effective policy (eg Gilman et al. 2010), an alternative and complementary approach is to focus on maintaining options and portfolios for organisms and their ecosystems as a…”
- Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation (2012, background): “( a ) Asymmetry of biotic interactions Our paper has thus far focused on impacts of warming on single species, but warming will also affect biotic interactions among species, greatly complicating predictions of warming impacts [17,44,45,124,189].”
- Rapid recovery of mammal fauna in the central Kimberley, northern Australia, following the removal of introduced herbivores. (2011, background): “In addition, threats combine both additively and synergistically, not only on species themselves, but also on the interactions between species (Paine et al. 1998; Gilman et al. 2010) in ways that are difficult to understand or predict.”
- Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions (2018, neutral): “An indirect implementation in a BI-SDM with only one time-step could be achieved by masking unreachable habitat, down-weighting probabilities with the distance to expert-knowledge maps or by including dispersal barriers as additional predictors for each species (Gilman et al., 2010; Merow, Wilson, &”
- Complexity in climate-change impacts: an analytical framework for effects mediated by plant disease (2011, background): “Gilman et al. (2010) give examples of how climate shifts may affect different types of community interactions as environments move outside the ancestral conditions of the different species.”