Generalization of the Partitioning of Shannon Diversity

Marcon, Éric; Scotti, Ivan; Hérault, Bruno; Rossi, Vivien; Lang, Gabriel

doi:10.1371/journal.pone.0090289

Cited by 59 publications

(65 citation statements)

References 36 publications

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“…This approach, which assumes that community species follow multinomial distributions (Marcon et al 2012(Marcon et al , 2014, enables us to correct sampling biases and compare 95% confidence intervals between corresponding size classes of the two forest types, and among size classes within each forest type.…”

Section: Discussionmentioning

confidence: 99%

Stand structure and species co-occurrence in mixed and monodominant Central African tropical forests

et al. 2014

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We compare forests dominated by Gilbertiodendron dewevrei at the Dja Biosphere Reserve (Cameroon) with adjacent high-diversity mixed forests in terms of tree-species composition and stand structure, in order to understand the co-occurrence of mixed forest tree species in the monodominant forest. A total of 18 1-ha permanent plots were established in the two forest types. In each plot, all trees with dbh ࣙ10 cm were identified as were those <10 cm dbh within a subsample of 300 m 2 . Species richness was significantly different between the two forest types. Mixed forest had an average of 109 species ha −1 for trees ࣙ10 cm dbh and 137 species for trees <10 cm dbh. By contrast, G. dewevrei-dominated forest had an average of 47 species ha −1 (ࣙ10 cm dbh) and 92 species (<10 cm dbh). There was no significant difference in terms of stem density of the trees with dbh <10 cm between the two forests (mixed: 3.7 stems m −2 ; monodominant: 3.1 stems m −2 ). As G. dewevrei is a shade-tolerant species that can regenerate under its own shade, its higher stem density and basal area can reduce species richness of an area.

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Section: Discussionmentioning

confidence: 99%

Stand structure and species co-occurrence in mixed and monodominant Central African tropical forests

et al. 2014

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“…This approach which assumes that community species follow multinomial distributions [31], [32] enables us to correct sampling biases and compare 95% confidence intervals between the two forest types.…”

Section: Methodsmentioning

confidence: 99%

Mixed-Forest Species Establishment in a Monodominant Forest in Central Africa: Implications for Tropical Forest Invasibility

et al. 2014

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BackgroundTraits of non-dominant mixed-forest tree species and their synergies for successful co-occurrence in monodominant Gilbertiodendron dewevrei forest have not yet been investigated. Here we compared the tree species diversity of the monodominant forest with its adjacent mixed forest and then determined which fitness proxies and life history traits of the mixed-forest tree species were most associated with successful co-existence in the monodominant forest.Methodology/Principal FindingsWe sampled all trees (diameter in breast height [dbh]≥10 cm) within 6×1 ha topographically homogenous areas of intact central African forest in SE Cameroon, three independent patches of G. dewevrei-dominated forest and three adjacent areas (450–800 m apart). Monodominant G. dewevrei forest had lower sample-controlled species richness, species density and population density than its adjacent mixed forest in terms of stems with dbh≥10 cm. Analysis of a suite of population-level characteristics, such as relative abundance and geographical distribution, and traits such as wood density, height, diameter at breast height, fruit/seed dispersal mechanism and light requirement–revealed after controlling for phylogeny, species that co-occur with G. dewevrei tend to have higher abundance in adjacent mixed forest, higher wood density and a lower light requirement.Conclusions/SignificanceOur results suggest that certain traits (wood density and light requirement) and population-level characteristics (relative abundance) may increase the invasibility of a tree species into a tropical closed-canopy system. Such knowledge may assist in the pre-emptive identification of invasive tree species.

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“…Hill's numbers have advantages: they can be interpreted as the number of effective species; they are members of a more general family of diversities (Leinster and Cobbold 2012; Chao et al 2014a); and reduced-bias estimators are available (Chao and Jost 2015). Marcon et al (2014a) showed that the Hill numbers are the deformed exponential of Tsallis entropy (Tsallis 1988), whereas they are the exponential of Rényi's entropy (Patil and Taillie 1982). The relation between Tsallis entropy and the Hill numbers is continuous and strictly increasing (Jost 2006), so a bijective relation exists between entropy and diversity.…”

Section: Diversity Profilesmentioning

confidence: 99%

Measuring temporal trends in biodiversity

2017

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In 2002, nearly 200 nations signed up to the 2010 target of the Convention for Biological Diversity, 'to significantly reduce the rate of biodiversity loss by 2010'. To assess whether the target was met, it became necessary to quantify temporal trends in measures of diversity. This resulted in a marked shift in focus for biodiversity measurement. We explore the developments in measuring biodiversity that was prompted by the 2010 target. We consider measures based on species proportions, and also explain why a geometric mean of relative abundance estimates was preferred to such measures for assessing progress towards the target. We look at the use of diversity profiles, and consider how species similarity can be incorporated into diversity measures. We also discuss measures of turnover that can be used to quantify shifts in community composition arising, for example, from climate change.

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Generalization of the Partitioning of Shannon Diversity

Cited by 59 publications

References 36 publications

Stand structure and species co-occurrence in mixed and monodominant Central African tropical forests

Stand structure and species co-occurrence in mixed and monodominant Central African tropical forests

Mixed-Forest Species Establishment in a Monodominant Forest in Central Africa: Implications for Tropical Forest Invasibility

Measuring temporal trends in biodiversity

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