Species distribution models reveal apparent competitive and facilitative effects of a dominant species on the distribution of tundra plants

By Loïc Pellissier, K. Bråthen, J. Pottier, C. Randin, P. Vittoz, Anne Dubuis, N. Yoccoz, T. Alm, N. E. Zimmermann, Antoine Guisan. 2010

190 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/37314814024018db394b6b9dd8bedb29b642b0f0

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In Ecological Modeling

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages (2011, background): “This is despite the fact that they can potentially influence geographical co-existence patterns of species (Diamond, 1975; Leathwick & Austin, 2001; Gotelli & McCabe, 2002; Pellissier et al., 2010), thus shaping communities and influencing the composition of species assemblages, even for continental”
Stay or go – how topographic complexity influences alpine plant population and community responses to climate change (2017, background): “For instance, species colonisation rates may be enhanced by facilitation (Anthelme et al., 2014) or by zoochory (Cunze et al., 2013), and they may be delayed by interference (Pellissier et al., 2010).”
Defining and evaluating predictions of joint species distribution models (2020, background): “…species' occurrence states as predictor variables alongside abiotic variables (Araújo & Luoto, 2007; Leathwick & Austin, 2001; Meier et al., 2010; Pellissier et al., 2010), or by constraining predicted distributions to observed or predicted distributions of species on which the target depends…”
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling (2012, background): “…predictors to predict one or several other species (Guisan, Weiss & Weiss, 1999; Leathwick & Austin, 2001; Araújo & Luoto, 2007; Heikkinen et al., 2007; Pellissier et al., 2010, 2012); results have shown that the predictive power of SDM models increased with inclusion of these biotic predictors.”
Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM) (2014, background): “…interactions by restricting the predicted distribution of one species to that of another (Schweiger et al. 2012) or by adding the occurrence or abundance of other species as predictors alongside abiotic variables (Leathwick & Austin 2001; Leathwick 2002; Meier et al. 2010; Pellissier et al. 2010).”