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Bias in the detection of negative density dependence in plant communities

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dc.contributor.author Detto, Matteo en
dc.contributor.author Visser, Marco D. en
dc.contributor.author Wright, S. Joseph en
dc.contributor.author Pacala, Stephen W. en
dc.date.accessioned 2019-10-01T02:01:59Z
dc.date.available 2019-10-01T02:01:59Z
dc.date.issued 2019
dc.identifier.citation Detto, Matteo, Visser, Marco D., Wright, S. Joseph, and Pacala, Stephen W. 2019. "<a href="https://repository.si.edu/handle/10088/98991">Bias in the detection of negative density dependence in plant communities</a>." <em>Ecology Letters</em>. 22 (11):1923&ndash;1939. <a href="https://doi.org/10.1111/ele.13372">https://doi.org/10.1111/ele.13372</a> en
dc.identifier.issn 1461-023X
dc.identifier.uri https://hdl.handle.net/10088/98991
dc.description.abstract Regression dilution is a statistical inference bias that causes underestimation of the strength of dependency between two variables when the predictors are error-prone proxies (EPPs). EPPs are widely used in plant community studies focused on negative density-dependence (NDD) to quantify competitive interactions. Because of the nature of the bias, conspecific NDD is often overestimated in recruitment analyses, and in some cases, can be erroneously detected when absent. In contrast, for survival analyses, EPPs typically cause NDD to be underestimated, but underestimation is more severe for abundant species and for heterospecific effects, thereby generating spurious negative relationships between the strength of NDD and the abundances of con- and heterospecifics. This can explain why many studies observed rare species to suffer more severely from conspecific NDD, and heterospecific effects to be disproportionally smaller than conspecific effects. In general, such species-dependent bias is often related to traits associated with likely mechanisms of NDD, which creates false patterns and complicates the ecological interpretation of the analyses. Classic examples taken from literature and simulations demonstrate that this bias has been pervasive, which calls into question the emerging paradigm that intraspecific competition has been demonstrated by direct field measurements to be generally stronger than interspecific competition. en
dc.relation.ispartof Ecology Letters en
dc.title Bias in the detection of negative density dependence in plant communities en
dc.type Journal Article en
dc.identifier.srbnumber 152570
dc.identifier.doi 10.1111/ele.13372
rft.jtitle Ecology Letters
rft.volume 22
rft.issue 11
rft.spage 1923
rft.epage 1939
dc.description.SIUnit STRI en
dc.description.SIUnit Peer-reviewed en
dc.citation.spage 1923
dc.citation.epage 1939

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