Improving indicator species analysis by combining groups of sites

By M. de Cáceres, Pierre Legendre, M. Moretti. 2010

1,258 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/425f22c56e08e363ee1848c5d320cb1316eb025c

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Cropping practices manipulate abundance patterns of root and soil microbiome members paving the way to smart farming (2018, methodology): “We used correlation based indicator species analysis with the R package indicspecies [91] to calculate the point-biserial correlation coefficient (r) of an OTU’s positive association to one or a combination of cropping systems.”
Microbiome definition re-visited: old concepts and new challenges (2020, background): “If keystone species can be considered as “indicator taxa”, another term, which have been defined as those taxa that are highly indicative of a particular experimental treatment or environmental condition [87] is still unclear.”
Impacts of oil palm plantations on changes in environmental heterogeneity and Heteroptera (Gerromorpha and Nepomorpha) diversity (2017, background): “2014; Floriano and Moreira 2015), and then deposited in the Zoological Collection at the Federal University of Pará.”
Understory succession in post-agricultural oak forests: Habitat fragmentation affects forest specialists and generalists differently (2011, methodology): “We applied an improved method of indicator species analysis, Multilevel Pattern Analysis (MPA, De Cáceres et al., 2010).”
Distinct soil microbial diversity under long-term organic and conventional farming (2014, methodology): “Based on the rationale that an OTU can occupy a certain niche provided by multiple farming systems, considering all possible combinations is important to detect these associations (De Cáceres et al., 2010).”
Tree Species Identity Shapes Earthworm Communities (2017, methodology): “The dataset was screened for associations between all earthworm species (density and biomass) and the six tree species by indicator species analysis [64] allowing for the combination of tree species [65] by using the function multipatt (package indicspecies [66]) with “IndVal” as the statistical ind”