Partitioning Species Diversity across Landscapes and Regions: A Hierarchical Analysis of α, β, and γ Diversity

By T. O. Crist, J. Veech, Jon C. Gering, K. Summerville. American Naturalist, 2003

596 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/06ab66d0ef001c5c59ddf0771919786ed65b371e

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In Ecology, Evolution, Behavior and Systematics

In Insect Science

In Nature and Landscape Conservation

Citations in the corpus

Assessing the impact of Impatiens glandulifera on riparian habitats: partitioning diversity components following species removal (2005, background): “The finding that additive partitions of species richness had a high β component while partitions of Simpson’s diversity had a high α component is expected because of the generality of the distribution– abundance relationship (Crist et al. 2003).”
Local-scale factors structure wild bee communities in protected areas (2012, methodology): “The multiplicative model of beta diversity (c = a 9 b), measured by species richness and Shannon diversity, was partitioned across hierarchical scales of site, habitat and region (Crist et al. 2003; Jost et al. 2010).”
Stochastic and deterministic drivers of spatial and temporal turnover in breeding bird communities (2012, methodology): “To remove sampling effects we employed a null model that randomized individuals of each species through space (for spatial turnover) or time (for temporal turnover) while maintaining the empirically observed species abundance distribution, similar to Crist et al. (2003).”
A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity (2010, background): “Several researchers have used these measures to quantify compositional (dis)similarity between sampling units (DeVries et al. 1997, DeVries and Walla 2001, Fournier and Loreau 2001, Ricotta 2003, Munos et al. 2008).”
A trait-based approach to community assembly: partitioning of species trait values into within- and among-community components. (2007, methodology): “Others, following Whittaker, have used beta for both components, at times differentiating the environmental vs. spatial components (Couteron & Pelissier 2004), and used gamma for the total amount of sampled diversity (see Crist et al. 2003).”
Stygobiotic crustacean species richness: a question of numbers, a matter of scale (2010, methodology): “Partition software (Crist et al., 2003) was used to assess the statistical significance of species richness partition.”
The decomposition of Shannon's entropy and a confidence interval for beta diversity (2012, background): “The need to partition diversity within and among habitats has both theoretical (e.g. gradient analyses) and applied (e.g. defining protected areas) consequences such that these concepts are widely employed in both ecology (Crist et al. 2003) and conservation biology (Steinitz et al. 2005).”
Quantifying plant species diversity in a Natura 2000 network: Old ideas and new proposals (2008, methodology): “Formally, this sampling method is based on a nested design, with four hierarchical levels: micro-scale level (aSubplot), stand level (aPlot), site level (aSCI) and regional level (aNetwork or c). This structure was thought to allow additive partitioning of species diversity (Allan, 1975; Lande, 1996”
Ecotones: Marginal or Central Areas of Transition? (2006, background): “A range of beta-diversity estimates can be used for estimating species turnover patterns in space (see Wilson and Shmida, 1984; Lennon et al., 2001; Crist et al., 2003; Koleff et al., 2003, for overviews) and can be applied for (i) determining ecotone loca tions for a given taxonomic group to be c”
Diversity partitioning of a Late Ordovician marine biotic invasion: controls on diversity in regional ecosystems (2007, background): “Since Lande (1996) recast Whittaker’s notation in additive terms, ADP has been increasingly applied in ecological studies (e.g., Loreau 2000; Gering and Crist 2002; Veech et al. 2002; Crist et al. 2003; Gering et al. 2003; Okuda et al. 2004).”