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Enregistrement W4320156192 · doi:10.19121/2022.report.45336

North American Bat Monitoring Program in British Columbia: 2021 Data Summary and Activity Trend Analyses (2016 – 2021)

2022· report· en· W4320156192 sur OpenAlexfundaboutno aff
Jason Rae, Cori L. Lausen, Brian Paterson

Notice bibliographique

Revuenon disponible
Typereport
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueBat Biology and Ecology Studies
Établissements canadiensnon disponible
Organismes subventionnairesEnvironment and Climate Change CanadaNature Conservancy of CanadaWildlife Conservation SocietyMinistry of EnvironmentHabitat Conservation Trust FoundationParks CanadaMcLean Foundation
Mots-clésGeography

Résumé

récupéré en direct d'OpenAlex

The North American Bat Monitoring (NABat; Loeb et al. 2015) program is a multi-agency initiative administered by the US Geological Survey (USGS).NABat efforts in BC aim to collect critical baseline data to inform conservation and immediate and long-term management decisions on spatial scales ranging from local/regional to continental.Wildlife Conservation Society Canada has coordinated and implemented the program in British Columbia since 2016 through partnerships and engagements with bat biologists and naturalists across the province.The primary goal of NABat is to establish species diversity and relative activity/abundance data before, during and after white-nose syndrome (WNS) arrives in the province.WNS is a deadly fungal disease that has been decimating hibernating bat populations as it spreads from the point of initial discovery in New York State and from a secondary point introduction in Washington State.We have successfully completed our first six years of NABat monitoring in B.C. with a total of 52 operating grid cells, 20 of which are part of our original 22 grid cells.These data provide baselines for pre-white-nose syndrome (WNS) bat distribution and activity data in the province that can be used to gauge changes moving forward using trend analyses.In this report we describe the acoustic NABat monitoring program and summarize the acoustic NABat data in BC.Specifically, we provide:1) descriptions of NABat objectives; 2) progress to date, including annual sample sizes; 3) locations and site information from all grid cells in BC; 4) tabulated acoustic results from both stationary and transect sampling, including species, relative activity (stationary detectors), and relative abundance (transects) for all NABat in BC data; 5) discussion of findings and the monitoring process, including challenges, solutions, successes, significance of results, and lessons learned; and 6) future directions.We summarize bat acoustic activity recorded by stationary detectors and mobile transects throughout the sixth year of NABat in BC.In 2021 we surveyed 52 of 55 current grid cells and once again detected all species of bats thought to occur in BC (17).Three grid cells were not monitored in 2021 due to wildfire and COVID-19-related logistical and safety concerns.Species distribution changes and updated maps are described below.Acoustics is one of several tools used to inventory bats.Because some otherwise disparate bat species can have substantial overlap in acoustic signatures, species confirmation in some locations, especially where out-of-range species have been detected, is needed before species presence should be considered confirmed.This is more applicable for some species than others.For example, although acoustically detected in some SW BC grid cells, Mexican Free-tailed Bats have yet to be confirmed in the province.Similarly, Canyon Bats have been recorded at some detectors in the Okanagan and Boundary regions, but this species has yet to be confirmed north of the Washington border. WCS Canada Bat Conservation Program 5 | P a g eWe also present an updated set of modelling results from our comprehensive statistical analysis examining trends in acoustic activity data at regional and provincial scales.Our initial models have produced preliminary trends identifying significant decreases in activity from Big Brown Bat, decreases in activity from Townsend's Big-eared Bat and Long-eared Myotis, and no significant changes in activity of the remaining species in BC, including Little Brown Myotis.These activity estimates do not necessarily indicate changes in abundance but they may be useful indicators of changes in bat populations in specific regions that should be considered for management decisions, particularly when combined with other sources of data.As more years of data are collected, increasing sample sizes in each grid cell and accounting for more inter-annual variation, estimates are expected to improve in reliability and power.This also applies to estimates at regional and provincial scales as we fill in gaps in our monitoring network across the range of a species.Recent analyses of BC data conducted by the continental NABat program (US Geological Survey) reveal similar changes in occupancy on a provincial level.Their independent analyses based on a slightly different suite of covariates and focussed on occupancy rather than activity, revealed a small non-significant increase in occupancy of Little Brown Myotis in BC and a significant continental scale decrease in occupancy for this species.In 2021 we initiated a partnership with Alaska Department of Fish and Game to establish an Alaska-BC NABat Hub, with the goal of coordinating our efforts and pooling our data to improve regional trend estimates.This new partnership provides critical data, particularly in the Alaska "panhandle" region bordering northwestern BC, where our sampling efforts have so far been relatively sparse.WCS Canada spearheaded the creation of a new provincial scale NABat Steering Committee with our major partners (BC Parks, BC Ministry of Environment and Climate Change Strategy) and a BC-US NABat Advisory Committee with US Geological Survey (Continental NABat program), Canadian Wildlife Health Cooperative (Canadian NABat Coordinator) and members of the provincial NABat Steering Committee.These committees will guide the course of our program over the long term helping to ensure it is efficient and effective at all scales.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil0,091

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0040,007
Études des sciences et des technologies0,0020,000
Communication savante0,0020,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0120,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,103
Tête enseignante GPT0,332
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission2
Résumé présentoui

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