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Functional and phylogenetic diversity as predictors of biodiversity–ecosystem-function relationships
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How closely does variability in ecologically important traits reflect evolutionary divergence? The use of phylogenetic diversity (PD) to predict biodiversity effects on ecosystem functioning, and more generally the use of phylogenetic information in community ecology, depends in part on the answer to this question. However, comparisons of the predictive power of phylogenetic diversity and functional diversity (FD) have not been conducted across a range of experiments. To address how phylogenetic diversity and functional trait variation control biodiversity effects on biomass production, we summarized the results of 29 grassland plant experiments where both the phylogeny of plant species used in the experiments is well described and where extensive trait data are available. Functional trait variation was only partially related to phylogenetic distances between species, and the resulting FD values therefore correlate only partially with PD. Despite these differences, FD and PD predicted biodiversity effects across all experiments with similar strength, including in subsets that excluded plots with legumes and that focused on fertilization experiments. Two- and three-trait combinations of the five traits used here (leaf nitrogen percentage, height, specific root length, leaf mass per unit area, and nitrogen fixation) resulted in the FD values with the greatest predictive power. Both PD and FD can be valuable predictors of the effect of biodiversity on ecosystem functioning, which suggests that a focus on both community trait diversity and evolutionary history can improve understanding of the consequences of biodiversity loss.
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“phylogenetic distances among species (i.e., a measure of genetic divergence) may explain more variation in biomass production than taxonomic diversity 34,35”
From Biodiversity loss and its impact on humanity (2012) · cites this paper as [35]
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“The ecological consequences of biodiversity loss can be predicted from evolutionary history”
From Biodiversity loss and its impact on humanity (2012) · cites this paper as [35]
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Metadata
- Authors
- Flynn, D. F. B., Mirotchnick, N., Jain, M., Palmer, M. I., & Naeem, S.
- Affiliations
- Columbia University (US)
- Corresponding author
- Flynn, Dan F. B.
- Mirotchnick, Nicholas
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2011-08
- Volume
- 92
- Issue
- 8
- Pages
- 1573-1581
- ISSN
- 0012-9658 (ISSN-L)
- OpenAlex
- W2081270564
- Semantic Scholar
- eef3dd4fc55ae052251c0a92ceddfd82ef0f948d
- Cited by
- 890
- References
- 55
- Citations by year
- 2026: 51 · 2025: 74 · 2024: 63 · 2023: 92 · 2022: 66 · 2021: 69 · 2020: 62 · 2019: 52 · 2018: 70 · 2017: 49 · 2016: 62 · 2015: 59 · 2014: 50 · 2013: 42 · 2012: 20
- FWCI
- 33.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Ecology (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- phylogenetic diversity, functional diversity, biodiversity-ecosystem functioning, plant functional traits, grassland vegetation, biomass production, phylogenetic distance, specific root length, leaf mass per area, nitrogen fixation, Fabaceae, fertilization, biodiversity loss
- MeSH terms
- Conservation of Natural Resources, Models, Biological, Phylogeny, Plants, Biodiversity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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