On the specification of structural equation models for ecological systems.

By J. Grace, T. M. Anderson, H. Olff, S. Scheiner. 2010

895 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/345010d51299cbb89abc400dd4c2ca9af0c81dcd

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Positive species diversity and above‐ground biomass relationships are ubiquitous across forest strata despite interference from overstorey trees (2017, background): “As recommended in SEM fitting for alleviating departure from normality, the standard in most ecological data (Grace et al. 2010; Hoyle 2012), all numerical variables including GDD, CMI, SA and above-ground biomass and species richness across forest vegetation strata were transformed to the natural l”
Quantitative Tracheid Anatomy Reveals a Complex Environmental Control of Wood Structure in Continental Mediterranean Climate (2012, background): “These models assess how well data support a set of hypothesized relationships among climatic and anatomical parameters by including both direct and indirect relationships (Iriondo et al. 2003; Grace et al. 2010).”
Soil textural heterogeneity impacts bacterial but not fungal diversity (2020, background): “SEM was chosen due to its ability to evaluate multiple processes at once and thus offer a more complete picture of the complex network of processes affecting soil microbial ecology (Grace et al., 2010).”
Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016, background): “This review is an update on Grace et al. (2010) and Eisenhauer et al. (2015), who both provided a timely and comprehensive review of SEM applications in ecological studies.”
Investigating the relationship between biodiversity and ecosystem multifunctionality: challenges and solutions (2013, methodology): “Although beyond the scope of our discussion, other approaches such as Structural Equation Modelling (Grace et al. 2010) are potentially promising for incorporating trade-offs, feedbacks and other interactions among functions in a more explicit mechanistic manner.”
The roles of environmental filtering and colonization in the fine‐scale spatial patterning of ground‐layer plant communities in north temperate deciduous forests (2011, methodology): “We use a structural equation modelling (SEM) framework (e.g. Grace 2006) integrating sub-hypotheses suggested by theory as well as previous investigations (Grace et al. 2010).”
Predator‐induced stress and the ecology of fear (2013, background): “Various multivariate statistical procedures exist which can be used to determine the relationship between predator risk, effects on birth and survival, the array of physiological measures that one has ideally been able to collect, and measurable fear effects in the brain (Tabachnick & Fidell 2007; G”
Linking resource availability and heterogeneity to understorey species diversity through succession in boreal forest of Canada (2018, methodology): “When the overall model did not produce an adequate fit, modified models were developed by removing direct and indirect pathways with low path coefficients (Grace et al., 2010).”
Guidelines for a graph-theoretic implementation of structural equation modeling (2012, methodology): “The rich topic of latent variable modeling has been recently addressed (Grace et al. 2010) and is not extensively explored here.”