Selecting traits that explain species–environment relationships: a generalized linear mixed model approach

By Tahira Jamil, W. Ozinga, Michael Kleyer, C. T. ter Braak. 2013

169 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/9473dfe8618aee6624e888585d28ef11cb714a35

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Regeneration: an overlooked aspect of trait‐based plant community assembly models (2016, methodology): “We refer readers to recent approaches to this challenge with respect to both abiotic (e.g. Jamil et al. 2013; Laughlin & Messier 2015) and biotic (Kraft, Godoy & Levine 2015b) filters.”
The intrinsic dimensionality of plant traits and its relevance to community assembly (2014, background): “…along environmental gradients (Bernhardt-R€omermann et al. 2008; Dray & Legendre 2008; Shipley 2010; Kleyer et al. 2012; Pollock, Morris & Vesk 2012; Jamil et al. 2013), to predict shifts in species distributions in a changing environment (Laughlin et al. 2011; Frenette-Dussault et al. 2013) and…”
So Many Variables: Joint Modeling in Community Ecology. (2015, methodology): “corner model’ [24,64], predicting abundance as a function of environmental variables and functional traits, b3 being the coefficient characterizing this interaction.”
Patterns and thresholds of grazing‐induced changes in community structure and ecosystem functioning: species‐level responses and the critical role of species traits (2017, methodology): “To identify which functional traits determine species-level responses to grazing, we used a trait-based generalized linear mixed model (GLMM) to explore the species occurrence probability along the GI gradient (Dorrough & Scroggie 2008; Pollock, Morris & Vesk 2012; Jamil et al. 2013).”
The fourth‐corner solution – using predictive models to understand how species traits interact with the environment (2014, methodology): “We specified the factor as a fixed effects term, Jamil et al. (2013) chose to include it as a random effect. Notice that while the data are multivariate, in the sense that responses are likely to be correlated across species, the model proposed above does not account for this, instead treating abund”