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Record W7062265710

Species Persistence and Species Occurrence are Decoupled across an Environmental Stress-Gradient

2022· other· en· W7062265710 on OpenAlexfundno aff

Bibliographic record

VenueCU Scholar (University of Colorado Boulder) · 2022
Typeother
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPersistence (discontinuity)Biological dispersalAbiotic componentProductivityHabitatSpecies diversityInvertebrateSpecies distribution
DOInot available

Abstract

fetched live from OpenAlex

<div class="page" title="Page 5"> <div class="section"> <div class="layoutArea"> <div class="column"> <span style="font-size: 12pt; font-family: TimesNewRomanPSMT;">Biological diversity is well known to depend on environmental productivity gradients. However, while measures of ecological diversity predominantly focus on species occurrence, they often fail to account for what percentage of the species actually persist, i.e., those which exhibit positive growth rates. Species persistence may change across environmental gradients via three processes: abiotic filtering, species interactions, and dispersal into habitats where they can persist. Here, we present an empirical investigation into (i) how persistence changes across a gradient from high-stress and low productivity to more benign, high productivity environments, (ii) how the type of species interaction changes across across this gradient, and (iii) how dispersal fuels differences between persistence and occurrence. We measured invasion growth rates (i.e., persistence) of four annual plant species in serpentine grasslands of McLaughlin Nature Reserve, California USA, and compared this to each species' natural distribution (i.e., occurrence). In contrast to our expectations, we found that species differed drastically in their patterns of occurrence versus persistence along a productivity gradient, depending on their biotic interactions, environmental suitability, and their ability to disperse. We found significant mismatches between species&rsquo; occurrence versus persistence across the gradient, where occurrence was higher than persistence in productive conditions, and lower than persistence in harsh conditions. This outcome could lead to an over- or underestimation of species&rsquo; persistence depending on abiotic conditions, which in turn leads us to overlook possible threats of species extirpation. Second, we found support for the stress-gradient hypothesis, where higher environmental stress leads to increased trends of facilitation and lower environmental stress leads to increased competition in persisting species. Interestingly, dispersal more commonly increased the proportion of sink populations in less stressful environments, whereas the proportion of dispersal limited populations decreased in less stressful environments. These results highlight the importance of including persistence as a measure of biological diversity, as dispersal dynamics and biotic interactions may be fueling large mismatches between diversity versus persistence across productivity gradients.</span> </div> </div> </div> </div>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.014
GPT teacher head0.195
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 designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

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