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The interacting effects of herbivore exclosures and seed addition in a wet meadow

2008· article· en· W2068279131 on OpenAlexafffund
Lauchlan H. Fraser, E. B. Madson

Bibliographic record

VenueOikos · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsThompson Rivers University
FundersCanada Research ChairsNational Science Foundation
KeywordsForbExclosureSpecies richnessBiologyHerbivoreEcologySeed predationPopulationPlant communitySpecies diversitySeedlingAgronomySeed dispersalGrassland

Abstract

fetched live from OpenAlex

Seed limitation may prevent successful restoration of native plant communities. Seed addition is a common restoration practice but the role of small mammals in affecting seedling recruitment is not well understood. The purpose of this investigation was to test the relative effect of seed introduction in combination with small mammal and bird exclosures in an Ohio wet meadow. We ask whether the ambient population of Microtus pennsylvanicus (1) alters species composition (e.g. forb/grass/sedge, invasive, non‐native); (2) influences plant diversity; and (3) reduces the effect of increasing local plant richness through seed introductions. We established a 2×2 factorial design including a seed addition treatment (0 and 20 seed species added) and an exclosure treatment (open and fenced to exclude all mammalian and bird herbivores and granivores). Seeds from twenty native species were selected to represent a broad range of plant life forms typically found in temperate eastern North American wet meadow communities. All species were obligate or facultative wetland species with forbs, grasses and sedges represented. We found that forb species increased inside exclosures, especially in the seed addition treatment. We also found that relative biomass of invasive species was reduced in exclosures and with seed addition. Species richness increased with seed addition; however, exclosures significantly increased species richness and diversity, particularly of those species that were experimentally introduced by seed. Our results support the seed limitation hypotheses. It is also evident that seed and seedling predation are important factors that can control wet meadow community composition and diversity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.102

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 science0.0000.000
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 head0.006
GPT teacher head0.213
Teacher spread0.208 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations36
Published2008
Admission routes2
Has abstractyes

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