The importance of biotic interactions for modelling species distributions under climate change
By Miguel B. Araújo, Miska Luoto. 2007
1,242 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/1f1d0dd107637d25bfbb0c35f93fe83dee6b7af1
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
- Jane Elith
- Miguel B. Araújo
- Jorge M. Lobo
- Wilfried Thuiller
- Antoine Guisan
- Jorge Soberón
- A. Jiménez‐Valverde
In Ecology, Evolution, Behavior and Systematics
- Wilfried Thuiller
- Miguel B. Araújo
- A. Townsend Peterson
- Antoine Guisan
- Jane Elith
- Jorge M. Lobo
- G. Grenouillet
- Catherine H. Graham
In Nature and Landscape Conservation
- Wilfried Thuiller
- Miguel B. Araújo
- Antoine Guisan
- Jorge M. Lobo
- A. Townsend Peterson
- Jane Elith
- Jorge Soberón
- R. P. Anderson
Citations in the corpus
- Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM) (2014, background): “Most current approaches to incorporating biotic interactions in SDMs involve adding the occurrence or abundance of other species as predictors (Araujo & Luoto 2007; Heikkinen et al. 2007;Meier et al. 2010).”
- Evaluating the combined threat of climate change and biological invasions on endangered species. (2013, background): “Although explicitly including water chemistry and biotic interaction in SDMs would certainly increase the predictive capacity of models, climate is considered the key limiting factor governing species distribution at a macroecological scale, thus models calibrated with present day climate are expect”
- Climate Change Threatens Giant Panda Protection in the 21st Century (2015, background): “However, some researchers have suggested that these biotic interactions may be critical to improve the predictive power of SDMs (Miska and Araújo, 2007; Preston et al., 2008; Boulangeat et al., 2012), especially those across trophic levels (Vander Putten et al.”
- New trends in species distribution modelling (2010, background): “species ranges (Araújo and Luoto 2007), or of the effect of”
- Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, background): “While many of these interactions are likely to influence the performance of SDMs, competition is commonly noted as an issue for terrestrial SDMs (Guisan & Thuiller, 2005; Araújo & Luoto, 2007; Heikkinen et al., 2007).”
- Spatial interpolation of monthly climate data for Finland: comparing the performance of kriging and generalized additive models (2013, background): “Many biotic and abiotic processes are determined by climatic conditions and require long-term climatic datasets for research (Fronzek et al. 2006; Araújo and Luoto 2007; Kullmann 2010).”
- Habitat shifts of endangered species under altered climate conditions: importance of biotic interactions (2008, background): “Thus, incorporating biotic relationships into species’ models will lead to more realistic estimates of the impacts of climate change on suitable habitat (Leathwick et al., 1996; Araújo & Luoto, 2007).”
- Predicting species distribution and abundance responses to climate change: why it is essential to include biotic interactions across trophic levels (2010, background): “Some studies in terrestrial systems have already shown successfully that including biotic interactions across trophic levels improves the outcomes of climate models, even at macro-ecological scales (Araujo & Luoto 2007).”
- Climate change in Europe. 1. Impact on terrestrial ecosystems and biodiversity. A review (2009, background): “Likewise, the current distribution of the clouded Apollo (Parnassius mnemosyne) is explained not only by climate suitability, but also by the presence of its Corydalis host plant (Araújo and Luoto, 2007).”
- Improving species distribution models for climate change studies: variable selection and scale (2011, background): “However, see Araújo & Luoto (2007) for a statement in which they call for more stringent evidence in support of the idea that purely climate-based modelling is sufficient to quantify the impact of climate change on species distributions.”
- Increasing range mismatching of interacting species under global change is related to their ecological characteristics (2012, background): “Thirdly, the importance of biotic interactions in assessing future species performance and distribution has become apparent (Araújo & Luoto, 2007; Heikkinen et al., 2007; Preston et al., 2008; Schweiger et al., 2010).”
- Travelling through a warming world: climate change and migratory species. (2009, background): “…shifts in breeding grounds and 95 Endang Species Res 7: 87–99, 2009 non-breeding areas, but as migratory species move between different areas, the uncertainties in predictions are multiplied, particularly when biotic interactions are taken into account (Araújo & Luoto 2007, Martin et al. 2007).”
- A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning (2010, methodology): “…questioned the relative importance of climate in relation to species demography (Mustin et al., 2007; Davis et al., 1998; Pearson & Dawson, 2003; Araujo & Luoto, 2007) and have highlighted the critical importance of incorporating life history attributes into modelling approaches to produce more…”