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Record W1493620650 · doi:10.5751/ace-00472-060201

Nest Survival of American Coots Relative to Grazing, Burning, and Water Depths

2011· article· en· W1493620650 on OpenAlexvenueno aff
Jane E. Austin, Deborah A. Buhl

Bibliographic record

VenueAvian Conservation and Ecology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersU.S. Geological SurveyU.S. Fish and Wildlife Service
KeywordsGrazingNest (protein structural motif)EcologyEnvironmental scienceGeographyBiology

Abstract

fetched live from OpenAlex

Water and emergent vegetation are key features influencing nest site selection and success for many marsh-nesting waterbirds. Wetland management practices such as grazing, burning, and waterlevel manipulations directly affect these features and can influence nest survival. We used model selection and before-after-control-impact approaches to evaluate the effects of water depth and four common landmanagement practices or treatments, i.e., summer grazing, fall grazing, fall burning, and idle (no active treatment) on nest survival of American coots (Fulica americana) nesting at Grays Lake, a large montane wetland in southeast Idaho. The best model included the variables year treatment, and quadratic functions of date, water depth, and nest age; height of vegetation at the nest did not improve the best model. However, results from the before-after-control-impact analysis indicate that management practices affected nest success via vegetation and involved interactions of hydrology, residual vegetation, and habitat composition. Nest success in idled fields changed little between pre-and post-treatment periods, whereas nest success declined in fields that were grazed or burned, with the most dramatic declines the year following treatments. The importance of water depth may be amplified in this wetland system because of rapid water-level withdrawal during the nesting season. Water and land-use values for area ranchers, management for nesting waterbirds, and long-term wetland function are important considerations in management of water levels and vegetation. RSUM. L'eau et la vgtation mergente reprsentent des caractristiques cls pour la slection du site de nidification et le succs de reproduction chez de nombreux oiseaux de marais. Les pratiques d'amnagement des milieux humides, comme le pturage, le brlage et la gestion du niveau d'eau, affectent directement ces caractristiques et peuvent donc avoir un effet sur la survie au nid. Nous avons utilis la slection de modles et l'approche BACI (before-after control-impact) afin d'valuer les effets du niveau d'eau et de quatre pratiques ou traitements courants d'amnagement, soit le pturage estival ou automnal du btail, le brlage automnal et l'absence de traitement, sur la survie au nid de la Foulque d'Amrique (Fulica americana) nichant au lac Grays, un vaste milieu humide subalpin dans le sud-est de l'Idaho. Le meilleur modle comportait les variables anne traitement et des fonctions quadratiques de la date, de la profondeur d'eau et de l'ge du nid; l'inclusion de la hauteur de la vgtation autour du nid n'a pas permis d'amliorer le meilleur modle. Toutefois, les rsultats de l'analyse BACI ont indiqu que les pratiques d'amnagement affectaient la survie au nid en modifiant la vgtation par le biais d'interactions entre l'hydrologie, la vgtation rsiduelle et la composition de l'habitat. La survie au nid dans les champs n'ayant pas t cultivs a peu chang entre les priodes pr-et post-traitements, tandis qu'elle a diminu dans les champs qui ont t brouts ou brls -les baisses les plus marques advenant l'anne suivant les traitements. L'importance de la profondeur d'eau dans ce milieu humide est peut-tre amplifie par le fait que le niveau d'eau diminue rapidement durant la saison de nidification. L'importance de l'eau et de l'utilisation du sol 1 U.S. Geological Survey, Northern Prairie Wildlife Research Center Avian Conservation and Ecology 6(2): 1 http://www.ace-eco.org/vol6/iss2/art1/ pour les propritaires de ranch de la rgion, l'amnagement de l'habitat pour les oiseaux aquatiques nicheurs et le fonctionnement long terme des milieux humides reprsentent des lments essentiels considrer dans la gestion des niveaux d'eau et de la vgtation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.236
Teacher spread0.213 · 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

Citations13
Published2011
Admission routes1
Has abstractyes

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