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Record 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 on OpenAlexaffabout
Çağan H. Şekercioğlu, Montague H. C. Neate‐Clegg, Natalia Ocampo‐Peñuela, Jill E. Jankowski, Carlos A. Peres, John Terborgh

Bibliographic record

VenueFrontiers in Conservation Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCitizen scienceBiodiversityOrnithologyBird conservationConservation biologyPopulationEndemismClimate change

Abstract

fetched live from 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.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.037
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.002
Science and technology studies0.0030.004
Scholarly communication0.0080.007
Open science0.0050.002
Research integrity0.0160.016
Insufficient payload (model declined to judge)0.0260.020

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 head0.094
GPT teacher head0.370
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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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Citations1
Published2025
Admission routes2
Has abstractyes

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