Analysing Ecological Data

By A. Zuur, E. Ieno, Graham M. Smith. 2007

1,542 citations recorded by the source corpus.

Subfields: Ecology, Management, Monitoring, Policy and Law, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/55d039114a02e63767a74456b709182aac8a7bd5

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In Ecology

In Management, Monitoring, Policy and Law

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Citations in the corpus

CO2-induced acidification affects hatching success in Calanus finmarchicus (2007, methodology): “The other egg-related data were binomial, e.g. eggs either hatched or did not hatch, and therefore their analysis required a form of logistic regression 92 Mayor et al.: CO2 storage/disposal and Calanus finmarchicus (Zuur et al. 2007).”
Short-term ecological effects of an offshore wind farm in the Dutch coastal zone; a compilation (2011, methodology): “Because these cannot necessarily be described using linear relationships, generalized additive modelling (GAM), which uses smoothing functions to model nonlinear relationships (Wood 2006, Zuur et al 2007), was applied to the data.”
Enhanced bioaccumulation of mercury in deep-sea fauna from the Bay of Biscay (north-east Atlantic) in relation to trophic positions identified by analysis of carbon and nitrogen stable isotopes (2012, positive): “In this way, GAMs were used to identify TP-related, spatial and taxonomic trends in explaining variability in Hg concentrations (Zuur et al., 2007).”
Using 3D photogrammetry from ROV video to quantify cold-water coral reef structural complexity and investigate its influence on biodiversity and community assemblage (2019, methodology): “Data exploration on biodiversity metrics was undertaken following the guidelines of Zuur et al. (2007, 2009).”
Low impact of chytridiomycosis on frog recruitment enables persistence in refuges despite high adult mortality (2015, methodology): “We used Chi-square tests to assess the significance of explanatory variables in all models (Zuur et al., 2007).”
Increasing Drought Sensitivity and Decline of Atlas Cedar (Cedrus atlantica) in the Moroccan Middle Atlas Forests (2011, methodology): “Trends were then estimated over the smoothed series by least-squares linear regression, as well as the average slope per decade [9,48].”
The application of predicted habitat models to investigate the spatial ecology of demersal fish assemblages (2010, background): “2006), especially in data with large absences (Zuur et al. 2007).”
Sub-surface hotspots in shallow seas: fine-scale limited locations of top predator foraging habitat indicated by tidal mixing and sub-surface chlorophyll (2010, methodology): “All response variables included a high proportion of zero values (absences) and so a 2-stage modelling strategy was used (Zuur et al. 2007).”
Identifying essential fish habitat for small pelagic species in Spanish Mediterranean waters (2008, methodology): “…of non-linear relationships, and generalised additive mixed models (GAMM), the latter allowing explicit consideration of spatial autocorrelation, particularly through the development of the ‘‘R’’ programming language (see Pierce et al., 2001, 2002; Valavanis et al., 2008, 2004; Zuur et al., 2007).”
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013, methodology): “Accordingly, the F-ratio test for comparison of nested models, typically used to compare nested GLM models (e.g., Sokal & Rohlf 1995, Zuur et al. 2007), also applies to MaxEnt models.”
Statistical solutions for error and bias in global citizen science datasets (2014, methodology): “Generalized linear and additive models (GLMs and GAMs) further extend linear and additive models to allow for other kinds of distributions, such as a Poisson or negative binomial regression for count data, or the logistic regression for binary data (Zuur et al., 2007).”