Knowing when to draw the line: designing more informative ecological experiments

By K. Cottingham, J. Lennon, B. Brown. 2005

372 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/5c2391a0229e3e708a8e5760b0de8e88d3d2ec66

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Non-linear effects of invasive lionfish density on native coral-reef fish communities (2015, methodology): “This experimental design was chosen to maximize the range of experimental densities and was preferred over having fewer treatments with more replicates given that regression designs have been called to be used more in ecological experiments, in part because they have more power than ANOVA designs (C”
Soil compaction effects on growth and root traits of tobacco depend on light, water regime and mechanical stress (2012, positive): “The reason of using a continuum of compaction instead a categorical approach is due to the great predictive power of regressions which can also be used to obtain predictors in ecological models (Cottingham et al., 2005).”
Distinguishing between the effects of ocean acidification and ocean carbonation in the coccolithophore Emiliania huxleyi (2011, methodology): “This approach was chosen because it provides more quantitative information for ecological modeling compared to an analysis of variance, without loss of power (Cottingham et al. 2005).”
A decade of climate change experiments on marine organisms: procedures, patterns and problems (2012, methodology): “In some cases, regression-based methods can alleviate difficulties of replication, and they should be used more widely in MCCEs particularly because they have the added benefit of a better parameterisation of the cause–effect relationship, which will facilitate projections into the future, with no l”
Biological consequences of invasion by reed canary grass (Phalaris arundinacea) (2009, methodology): “…correlations between response variables and RCG cover using data from EXP1 and EXP2, as treatment types were not of interest beyond their ability to reduce RCG dominance, and because continuous predictor variables are preferable to categorical variables when available (Cottingham et al. 2005).”
A framework to study the context-dependent impacts of marine invasions (2011, background): “Perhaps more marine invasion impact experiments should apply continuous impact-models (regression techniques, Byers, 2000; Kotta et al., 2006) or a combination of categorical and continuous models (Cottingham et al., 2005).”
Aquatic invertebrate community structure along an intermittence gradient: Selwyn River, New Zealand (2010, background): “Exclusive use of ordinal explanatory variables limits the scope of inference in ephemeral and intermittent river studies and does not permit empirical predictions (Cottingham et al. 2005).”