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Enregistrement W4417237951 · doi:10.3389/fcosc.2025.1740942

Editorial: Long-term research on avian conservation ecology in the age of global change and citizen science

2025· article· en· W4417237951 sur OpenAlexaffabout
Çağan H. Şekercioğlu, Montague H. C. Neate‐Clegg, Natalia Ocampo‐Peñuela, Jill E. Jankowski, Carlos A. Peres, John Terborgh

Notice bibliographique

RevueFrontiers in Conservation Science · 2025
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueSpecies Distribution and Climate Change
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésCitizen scienceBiodiversityOrnithologyBird conservationConservation biologyPopulationEndemismClimate change

Résumé

récupéré en direct d'OpenAlex

Birds are among the most effective indicators of environmental change, and long-term avian research provides critical insights into biodiversity dynamics in the Anthropocene.Centuries of ornithological research combined with citizen science have produced some of the most comprehensive ecological trait datasets for any taxon, enabling detailed ecological and conservation assessments (Kittelberger et al., 2021a), including population trends and at-risk functional groups (Figure 1). Databases such as BIRDBASE (Şekercioğlu et al., 2025), combined with over two billion eBird records (Sullivan et al., 2009) now support global-scale analyses, including in historically understudied regions (Kittelberger et al., 2023). richest, yet monitoring is most limited. Integrated projects combining systematic monitoring, citizen science, education, and local engagement remain rare, even as global bird declines accelerate (Şekercioğlu et al., 2023). Many biodiversity hotspots also overlap with areas of frequent armed conflict (Hanson et al., 2009), creating additional barriers to sustaining research in regions of high endemism (e.g. Kittelberger et al., 2021b). This research topic synthesizes ten studies spanning tropical and temperate regions, urban and forested landscapes, and employing diverse methodologies from mist-netting and citizen science to molecular ecology. Collectively, these contributions underscore the importance of sustained avian monitoring and inclusive conservation strategies. We organize their findings under five overarching themes: trait-based vulnerability, demographic and physiological responses, climate impacts, landscape transformation, and integrative conservation approaches. Barrie et al. (2025) compared bird communities in primary versus logged forests in Equatorial Guinea, revealing a 47% reduction in individuals and the losses of ant-followers, mixed-species flock participants, and terrestrial insectivores in secondary forests. These guildspecific declines highlight the sensitivity of forest specialists to habitat degradation and reinforce the need for intact habitats, strengthening trait-based vulnerability frameworks widely applied under climate and land-use change (Cazalis et al., 2021;Jiguet et al., 2010). Nikolaou et al. (2025) extended this work by examining demographic and physiological traits of ant-following birds, uncovering demographic bottlenecks and variable body condition despite similar breeding status and stress hormone (fCORT) levels. These nuanced responses align with broader evidence that insectivores and forest specialists are particularly vulnerable to anthropogenic disturbance (Şekercioğlu 2002;Powell et al., 2015).Long-term datasets provide critical insights into population dynamics and community stability. Targeted management, such as clear-cuts and the removal of non-native conifer plantations, aided some declining species, illustrating the complex interplay of climate, habitat, and conservation actions.Colombia's Chocó hotspot. Using eBird data and climate projections, they modeled distributions for 27 species and found nearly universal losses of climate-suitable areas, driving upslope shifts and reductions in species richness. Scarlet-and-white Tanager and Chocó Warbler face the steepest losses-84% and 60%, respectively-threatening ecological services such as seed dispersal and insect control. These results emphasize the urgency of expanding protected areas, promoting reforestation, and enhancing habitat connectivity to match shifting climatic niches (Tingley et al., 2009). Integrating citizen science with ecological modeling offers a powerful framework for community-engaged conservation. Complementing these findings, Gale et al. (2024) demonstrated how precipitation patterns shape breeding phenology in Thailand's dry forests: extended droughts delayed egg-laying, while reduced rainfall postponed fledging, highlighting precipitation as a key driver of reproductive timing. The ten papers in this research topic highlight key strategies for avian conservation: long-term monitoring to detect subtle ecological changes, trait-based approaches for identifying vulnerable species, tracking climate change impacts, leveraging citizen science and community engagement, and applying interdisciplinary methods from molecular ecology to spatial modeling. A common theme is the indispensability of long-term, locally grounded research for detecting ecological change and guiding conservation. Whether through mist-netting, citizen science, or molecular tools, these studies exemplify best practices. Birds remain vital indicators of ecosystem health; integrating ecological data, community knowledge, and interdisciplinary approaches is essential as global pressures intensify.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,006
Études des sciences et des technologies0,0000,005
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,094
Tête enseignante GPT0,370
Écart entre enseignants0,276 · 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 tête enseignante, pas un consensus.

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
Publié2025
Routes d'admission2
Résumé présentoui

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