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Effect sizes and standardization in neighbourhood models of forest stands: potential biases and misinterpretations

Stoll, P; Murrell, DJ; Newbery, DM; (2015) Effect sizes and standardization in neighbourhood models of forest stands: potential biases and misinterpretations. Methods in Ecology and Evolution , 6 (10) pp. 1117-1125. 10.1111/2041-210X.12409. Green open access

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Abstract

1. Effects of conspecific neighbours on survival and growth of trees have been found to be related to species abundance. Both positive and negative relationships may explain observed abundance patterns. Surprisingly, it is rarely tested whether such relationships could be biased or even spurious due to transforming neighbourhood variables or influences of spatial aggregation, distance decay of neighbour effects and standardization of effect sizes. 2. To investigate potential biases, communities of 20 identical species were simulated with log-series abundances but without species-specific interactions. No relationship of conspecific neighbour effects on survival or growth with species abundance was expected. Survival and growth of individuals was simulated in random and aggregated spatial patterns using no, linear, or squared distance decay of neighbour effects. 3. Regression coefficients of statistical neighbourhood models were unbiased and unrelated to species abundance. However, variation in the number of conspecific neighbours was positively or negatively related to species abundance depending on transformations of neighbourhood variables, spatial pattern and distance decay. Consequently, effect sizes and standardized regression coefficients, often used in model fitting across large numbers of species, were also positively or negatively related to species abundance depending on transformation of neighbourhood variables, spatial pattern and distance decay. 4. Tests using randomized tree positions and identities provide the best benchmarks by which to critically evaluate relationships of effect sizes or standardized regression coefficients with tree species abundance. This will better guard against potential misinterpretations.

Type: Article
Title: Effect sizes and standardization in neighbourhood models of forest stands: potential biases and misinterpretations
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/2041-210X.12409
Publisher version: http://dx.doi.org/10.1111/2041-210X.12409
Language: English
Additional information: This is the peer reviewed version of the following article: Stoll, P., Murrell, D. J., Newbery, D. M. (2015), Effect sizes and standardization in neighbourhood models of forest stands: potential biases and misinterpretations. Methods in Ecology and Evolution, 6: 1117–1125. doi: 10.1111/2041-210X.12409, which has been published in final form at http://dx.doi.org/10.1111/2041-210X.12409. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Keywords: community dynamics; multiple regression; neighbourhood model; population dynamics; tropical forest
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/1469879
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