Smart camera traps and computer vision improve detections of small fauna

Ecosphere, Год журнала: 2025, Номер 16(3)

Опубликована: Март 1, 2025

Abstract Limited data on species' distributions are common for small animals, impeding conservation and management. Small especially ectothermic taxa, often difficult to detect, therefore require increased time resources survey effectively. The rise of technology has enabled researchers monitor animals in a range ecosystems longer periods than traditional methods (e.g., live trapping), increasing the quality cost‐effectiveness wildlife monitoring practices. We used DeakinCams, custom‐built smart camera traps, address three aims: (1) To including ectotherms, evaluate performance customized computer vision object detector trained SAWIT dataset automating classification; (2) At same field sites using commercially available we evaluated how well MegaDetector—a freely detection model—detected images containing animals; (3) complementarity these two different approaches monitoring. collected 85,870 videos from DeakinCams 50,888 commercial cameras. For with data, yielded 98% Precision but 47% recall, species classification, varied by 0% Recall birds 26% 14% spiders. detections trap images, MegaDetector returned 99% Recall. found that only detected nocturnal ectotherms invertebrates. Making use more diverse datasets training models as advances machine learning will likely improve like YOLO novel environments. Our results support need continued cross‐disciplinary collaboration ensure large environmental train test existing emerging algorithms.

Язык: Английский

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A call for increased integration of experimental approaches in movement ecology

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

ABSTRACT Rapid developments in animal‐tracking technology have enabled major advances the field of movement ecology, which seeks to understand drivers and consequences across scales, taxa, ecosystems. The has made ground‐breaking discoveries, yet majority studies ecology remain reliant on observational approaches. While important, are limited compared experimental methods that can reveal causal relationships underlying mechanisms. As such, we advocate for a renewed focus approaches animal ecology. We illustrate way forward two fundamental levels biological organisation: individuals social groups. then explore application experiments study anthropogenic influences wildlife movement, enhance our mechanistic understanding conservation interventions. In each these examples, draw upon previous research effectively employed approaches, while highlighting outstanding questions could be answered by further experimentation. conclude ways manipulations both laboratory natural settings provide promising generate understandings drivers, consequences, movement.

Язык: Английский

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Drivers of extinction risks and shortfalls across terrestrial vertebrates in the Philippine global biodiversity hotspot

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 9, 2025

The Philippines is a biodiversity hotspot with rich variety of terrestrial vertebrate species, many which are endemic and under threat from environmental changes unsustainable activities. Effective conservation action urgently needed; however, progress hampered by persistent knowledge shortfalls uneven research efforts. In this study, we assessed the extinction risks, threats, gaps 1,258 Philippine species. We found that at least 15%–23% species risk extinction, particularly amphibians mammals, primarily driven habitat loss overexploitation. However, reptiles remain markedly underrepresented in their true status likely underestimated. Our findings highlight historical biases continue to perpetuate inequities, leaving vulnerable data-deficient areas overlooked. Filling these balanced investment, expanded monitoring, better data sharing crucial for informed conservation. recommend using integrative tools remote sensing tackle major Philippines. Integrating collaboration, citizen science, targeted surveys, genetic can address gaps. study offers strategic framework guiding national priorities safeguarding country’s rapidly vanishing wildlife heritage, emphasizing that, without action, risks losing its unique biodiversity.

Язык: Английский

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Exploring the ethical landscape of AI in academic writing

Egyptian Journal of Forensic Sciences, Год журнала: 2025, Номер 15(1)

Опубликована: Май 21, 2025

Abstract Background The incorporation of artificial intelligence (AI) into the process writing research papers has introduced a new era characterized by enhanced efficiency and production in field academia. Nevertheless, this development raises numerous ethical concerns that require in-depth debate. Main body present study reviews available literature to investigate implications utilizing AI preparing manuscripts including data analysis, drafting, publication. Key are issues surrounding intellectual property rights, correct attribution collaborative endeavors, transparency responsibility for utilization AI. article also examines inequality academic publishing its broader impact on society, exacerbation disparities access scientific information. To tackle these difficulties, proposes establishment comprehensive rules optimal methods guarantee papers. Researchers can effectively utilize technology while minimizing hazards promoting transparency, accountability, diversity. Conclusion This offers examination factors associated with using intelligence. It draws upon wide range from several disciplines, ethics, AI, scholarly publications, provides knowledge scholars, policymakers, practitioners alike.

Язык: Английский

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Mining reshapes animal communities at a local and landscape-scale

Biological Conservation, Год журнала: 2025, Номер 308, С. 111252 - 111252

Опубликована: Май 23, 2025

Язык: Английский

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