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Enregistrement W4388239155 · doi:10.1353/bae.2023.a911239

In This Issue

2023· article· en· W4388239155 sur OpenAlexaboutno aff
Bruce Osborne

Notice bibliographique

RevueBiology & Environment Proceedings of the Royal Irish Academy · 2023
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueBat Biology and Ecology Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiologyInsectivorePredationZoologySenecioEcology

Résumé

récupéré en direct d'OpenAlex

In This Issue Bruce Osborne Not unsavoury for bats? Although the diet of bats has received little attention, it is thought to comprise mainly of butterflies and moths, with seasonal and location-dependent variations. One of the challenges with identifying the composition of bat diets is that studies have largely been restricted to the skeletal remains found in bat droppings, which may not always be easy to identify, and not to everyone’s taste! Using a molecular approach, Nolan et al., in this issue, first confirmed that the sample droppings were from the brown long-eared bat, Plecotus auratus, and that these contained the partially digested remains of the toxic cinnabar moth (Tyria jacobaeae). This finding was rather surprising, as it is the first time that this moth has been recorded in any insectivorous bat diet. As always, this work raises more questions than answers, including how can the bat deal with a toxic, unsavoury prey that only a few vertebrate species are able to feed on, and to what extent does the moth contribute to the bat diet? Could it have been a case of mistaken identity—bats have difficulties recognising visual cues—or was this just a chance event? It seems that the toxicity of cinnabar moths stems from the storage of compounds derived from the common ragwort, Senecio jacobea, with which it forms a specialist host relationship. The question then might be whether the moth had been feeding on ragwort tissues with relatively low toxin levels and/or the bat is able to metabolise these compounds? Certainly, the restricted availability of suitable prey does not seem to be a factor in the choice of diet in this study, given the plentiful food supply available to Plecotus auratus, and more research will be needed to resolve these issues. Managing drought Understandably, water management in Ireland has focused primarily on flooding and waterlogging risks, given the high annual rainfall and the often poor drainage systems. However, the droughts of 2018 and 2020 were reminders that water shortages are probably more common and have more impact than is often recognised. In addition, droughts are likely to increase in the future because of climate change. In a comparison of water management practices in Ireland with those in southwestern Ontario, Canada, a region that shares comparable challenges to those experienced in Ireland (but with more established institutional practices for managing droughts), Jobbova et al., in this issue, identify several key recommendations. These include the development of a culture of water conservation, a focus on catchment management and monitoring, and the establishment of drought management teams that include all relevant stakeholders and user groups. The authors also emphasise the importance of knowledge transfer between water managers in other jurisdictions. But will these recommendations be enough without significant investment in personnel and resources and the development of water conservation systems? Future conditions are also likely to be temporarily more dynamic and regionally more variable than those of the past, with extended periods of water deficits interspersed with extreme precipitation events. This will require a much more nuanced approach to the management of water resources and the development of best practice approaches that consider extreme fluctuations in water availability, rather than focusing specifically on drought management. Non-invasive monitoring of harbour seals Demographic investigations are often an undervalued but core requirement for many conservation efforts that include, for instance, assessments of trends in population size, variations in reproductive rates and how organisms interact with the environment. Traditional approaches using observers and/or marked individuals are often time consuming, subjected to identification errors (observer bias) and can potentially impact on the populations and individuals under investigation. In recent years a range of non-invasive methods for monitoring populations have been introduced, although many of these, including boat-and aerial-based surveys may not provide sufficient detail to identify individuals and individual behaviour. One novel approach to non-invasive monitoring is to use photographs that capture the natural markings and other external features associated with individuals and then to use these photo-IDs as the basis for identifying individuals in combination with the appropriate software. Using photographs from 173 land-based surveys Steinmetz et al., in this...

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)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,500
Score d'incertitude au seuil0,714

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0070,004
Science ouverte0,0020,003
Intégrité de la recherche0,0060,006
Charge utile insuffisante (le modèle a refusé de juger)0,5000,324

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 Opus0,022
Tête enseignante GPT0,235
Écart entre enseignants0,212 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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