2002
DOI: 10.1034/j.1600-0706.2002.990101.x
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The additive partitioning of species diversity: recent revival of an old idea

Abstract: Ecologists have traditionally viewed the total species diversity within a set of communities as the product of the average diversity within a community (alpha) and the diversity among the communities (beta). This multiplicative concept of species diversity contrasts with the lesser known idea that α‐ and β‐diversities sum to give the total diversity. This additive partitioning of species diversity is nearly as old as the multiplicative concept, yet ecologists are just now beginning to use additive partitioning… Show more

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Cited by 455 publications
(442 citation statements)
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“…Calculated indicator values were tested for significant values using a Monte Carlo test (Dufrêne & Legendre, 1997). The additive partitioning of species diversity into measures of a-and b-diversity (Veech et al, 2002;Crist et al, 2003) was conducted with PARTITION software.…”
Section: Discussionmentioning
confidence: 99%
“…Calculated indicator values were tested for significant values using a Monte Carlo test (Dufrêne & Legendre, 1997). The additive partitioning of species diversity into measures of a-and b-diversity (Veech et al, 2002;Crist et al, 2003) was conducted with PARTITION software.…”
Section: Discussionmentioning
confidence: 99%
“…Because the number of detected species throughout the survey (r) was always ‡35, we used 40 augmented species in the analysis. The mean site-level detection-naı¨ve species richness is the observed a diversity; hence, we obtained the detection-naı¨ve b diversity estimate by subtracting the mean of the a diversity from c diversity, i.e., b = c À mean (a) (Veech et al 2002;Crist et al 2003). We calculated the site-level Shannon index (a diversity of Shannon index) using the maximum count (over the four visits) of each species and used the overall Shannon index as a measure of c diversity by summing these maximum counts for each species across the sites.…”
Section: Simulation Experiments 2: Comparing Community Abundance and Omentioning
confidence: 99%
“…Simulation experiment 3: partitioning c diversity into a and b diversity subject to imperfect detection We used additive partitioning (Veech et al 2002;Crist et al 2003) in the community abundance models for those scenarios of the sampling design where community abundance models achieved good performance (see ''Results''): n site = 40, n visit = 4, and mean abundance ð k ¼ expðl b 0 Þ) = 0.5. We only varied the mean detection probability ðp), which will affect the observed sitelevel species richness, at the three levels of 0.1, 0.2, and0.5.…”
Section: Simulation Experiments 2: Comparing Community Abundance and Omentioning
confidence: 99%
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“…Betadiversity, originally proposed as a measure of diversity along a gradient, has been generalized to a measure of species differences and turnover rates across geographical locations (Veech et al 2002). Spector (2002) measured dung beetle beta-diversity across sites in Parque Nacional Noel Kempff Mercado where he found 143 species, but on average, only 29.4 species were present at any single site.…”
Section: Discussionmentioning
confidence: 99%