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What Is Known about Mountain Goats and a Model for Studying Large Mammals

2008· article· en· W1494483086 on OpenAlexaboutno aff
Jon E. Swenson

Bibliographic record

VenueConservation Biology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsUngulateEcologyWildlifePopulationBiologistGeographyReproductionPredationBiologyDemographyHabitat

Abstract

fetched live from OpenAlex

Mountain Goats. Ecology, Beha-vior, and Conservation of an Al-pine Ungulate . Festa-Bianchet, M., and Côté, S. D. . 2008 . Island Press , Washington , D.C. 277 ( xii + 265 ) pp. $45.00 (paperback) . ISBN 978-1-59726-171-5 . While reading Marco Festa-Bian-chet and Steeve Côté's book on mountain goats (Oreamnos americanus), I thought back to more than 20 years ago when I was a wildlife biologist in Montana. We were trying to design hunting quotas for a species that seemed to tolerate surprisingly little harvest in native populations, although more harvest in introduced populations. We often discussed why this species seemed to be so different than other ungulates. If we only had had this book then. Results presented in Mountain Goats. Ecology, Behavior, and Conservation of an Alpine Ungulate are from 16 years of observations of the behavior, reproduction, and survival of marked, known-age individuals. Almost the entire population of mountain goats was marked at Caw Ridge, northern Alberta, Canada, and many were followed throughout their lifetime. This alone is an unbelievable feat, given the hard field conditions and difficulties of finding long-term funding. Not only do the authors describe the ecology, social organization, growth, life-history strategies, and population dynamics of an unhunted, relatively isolated native population of mountain goats exposed to all their native predators, they also compare and contrast their results with those from the few other long-term studies of individually marked large ungulates, especially those on bighorn sheep. Thus, the results were put into a larger perspective, and they could show that, yes, mountain goats are different from most other ungulates. Festa-Bianchet and Côté also provide a life-history explanation for the observed differences between native and introduced populations. I was impressed by how these scientists combined rigorous scientific research to the understanding of fundamental ecological principles and to show how their results were relevant to improve the conservation efforts, monitoring, and management of hunting of this very special ungulate. Goats are especially sensitive to helicopters, human disturbance, hunter harvest, and global warming. In addition, the Caw Ridge study area is threatened by an open-pit coal mine. The authors point out that the current lack of knowledge about the evolutionary impacts of hunting is a serious concern. This also would apply to other human activities that cause systematic changes in survival or reproductive rates. This subject needs more research by conservation biologists. The authors also show convincingly that the study of the population dynamics and life histories of large mammals requires long-term, individually based data to give credible results. They also kept high ethical standards by continuously evaluating their methods and quickly changing them when they found that capturing mothers with kids caused abandonment and chemical immobilization of young females delayed primiparity. Festa-Bianchet and Côté recognize the study's shortcomings. Almost no winter field work was conducted, for understandable reasons. So the cause of 80% of the losses and winter habitat use are unknown. They were unable to determine the mother of most of the kids because capturing mothers caused kid abandonment, but they can solve this problem with their DNA samples. The study prioritized females, which is understandable. Nevertheless, with genetic samples of 98% of the goats from the past 10 years, the authors promise to soon study male reproductive strategies. I recommend this book highly. It is appropriate for both scientists and people just interested in mountain goats. It should be required reading for all mountain goat managers. The book is extremely well written and was hard for me to put down. The figures are good (except for figure 1.8, which shows goat distribution at a too-small scale) and informative additions to the text. There is a short summary at the end of each chapter, and the statistics and scientific names are placed in appendices for those who are not used to them. This is not just the definitive book about the ecology and conservation of mountain goats. It is also a model of how populations should be studied and about how the results of population studies should be translated into concrete recommendations for the species' conservation and management. At the end, the authors promise to continue their work to conserve mountain goats and their habitats, and I believe they will.

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 score0.048
Threshold uncertainty score0.358

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 head0.058
GPT teacher head0.271
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.

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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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