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The new diversity: management gains through insights into the functional diversity of communities

2011· article· en· W1974327067 on OpenAlexaff
Marc W. Cadotte

Bibliographic record

VenueJournal of Applied Ecology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsSpecies richnessBiodiversityTraitEcosystemEcologyEnvironmental resource managementExtinction (optical mineralogy)Ecosystem servicesGrazingFunctional ecologyEcological stabilityBiologyGeographyEnvironmental scienceComputer science

Abstract

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Summary 1. Biodiversity is being lost in our rapidly changing world. Most studies that examine biodiversity measure species richness, but loss of functional diversity (FD) – defined as the trait variation or dispersion in an assemblage – is equally important. FD is useful for management actions focused on ecosystem services or functions, especially when ecosystem function is ambiguously defined, or there are multiple functions of interest. Because FD is often a multivariate measure of species differences, it has additional relevance given that we seldom have a complete understanding of how traits translate to function. 2. This Special Profile includes six papers that examine how management activities or policy could benefit from consideration of the functional contributions of species. When focused on species richness, management activities may unintentionally reduce FD, with detrimental consequences for ecosystem services or stability. For example, two of the studies included in this Special Profile show that grassland management (e.g. mowing or grazing) can result in loss of FD, which may result in an unintended loss of ecosystem services. 3. A third paper reviews how species extinction and environmental change can negatively affect FD and, potentially, ecosystem function. At the individual species level, invasions offer insight into the importance of species traits. The fourth paper in this Special Profile describes how an invader is successful because of unique trait values, underlining the importance of examining FD when considering management options. In another paper, eutrophication is shown to drastically affect lichen functional groups (some decreasing and some increasing) with a minor effect on overall richness. The final paper demonstrates that the ability of aquatic plants to maintain biomass production in changing environments is determined by their complementary contributions to productivity. These complementary contributions to ecosystem function –especially given that they are more important in fluctuating environments – need to be included in evaluations of diversity. 4. Synthesis and applications . As FD is increasingly assessed in applied studies, it will call into question how we measure diversity and evaluate management success. It is clear that species richness cannot be the only measure considered. Given that environmental change and management activities can reduce FD as well as the number of species, management goals and criteria for success need to include FD.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.214
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations90
Published2011
Admission routes1
Has abstractyes

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