Towards a toolkit for global insect biodiversity monitoring

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 379(1904)

Опубликована: Май 5, 2024

Insects are the most diverse group of animals on Earth, yet our knowledge their diversity, ecology and population trends remains abysmally poor. Four major technological approaches coming to fruition for use in insect monitoring ecological research—molecular methods, computer vision, autonomous acoustic radar-based remote sensing—each which has seen advances over past years. Together, they have potential revolutionize ecology, make all-taxa, fine-grained feasible across globe. So far, within among technologies largely taken place isolation, parallel efforts projects led redundancy a methodological sprawl; yet, given commonalities goals approaches, increased collaboration integration could provide unprecedented improvements taxonomic spatio-temporal resolution coverage. This theme issue showcases recent developments state-of-the-art applications these technologies, outlines way forward regarding data processing, cost-effectiveness, meaningful trend analysis, open requirements. papers set stage future automated monitoring. article is part ‘Towards toolkit global biodiversity monitoring’.

Язык: Английский

---

Systematic challenges and opportunities in insect monitoring: a Global South perspective

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 379(1904)

Опубликована: Май 5, 2024

Insect monitoring is pivotal for assessing biodiversity and informing conservation strategies. This study delves into the complex realm of insect in Global South-world developing least-developed countries as identified by United Nations Conference on Trade Development-highlighting challenges proposing strategic solutions. An analysis publications from 1990 to 2024 reveals an imbalance research contributions between North South, highlighting disparities entomological scarcity taxonomic expertise South. We discuss socio-economic factors that exacerbate issues, including funding disparities, collaboration, infrastructure deficits, information technology obstacles impact local currency devaluation. In addition, we emphasize crucial role environmental shaping diversity, particularly tropical regions facing multiple climate change, urbanization, pollution various anthropogenic activities. also stress need entomologists advocate ecosystem services provided insects addressing issues. To enhance capacity, propose strategies such community engagement, outreach programmes cultural activities instill appreciation. Further, language inclusivity social media use are emphasized effective communication. More collaborations with counterparts, areas molecular biology remote sensing, suggested technological advancements. conclusion, advocating these strategies-global collaborations, a diverse integration transverse disciplines-aims address foster inclusive, sustainable contributing significantly overall health. article part theme issue 'Towards toolkit global monitoring'.

Язык: Английский

---

Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

CABI Agriculture and Bioscience, Год журнала: 2024, Номер 5(1)

Опубликована: Авг. 17, 2024

Abstract In an era marked by rapid global changes, the reinforcement and modernization of plant health surveillance systems have become imperative. Sixty-five scientists present here a research agenda for enhanced modernized to anticipate mitigate disease pest emergence. Our approach integrates wide range scientific fields (from life, social, physical engineering sciences) identifies key knowledge gaps, focusing on anticipation, risk assessment, early detection, multi-actor collaboration. The directions we propose are organized around four complementary thematic axes. first axis is anticipation emergence, encompassing innovative forecasting, adaptive potential, effects climatic cropping system changes. second addresses use versatile broad-spectrum tools, including molecular or imaging diagnostics supported artificial intelligence, monitoring generic matrices such as air water. third focuses known pests from new perspectives, i.e., using novel approaches detect species but also anticipating detecting, within species, populations genotypes that pose higher risk. fourth advocates management commons through establishment cooperative long-term data-driven alert information dissemination. We stress importance integrating data multiple sources open science databases metadata, alongside developing methods interpolating extrapolating incomplete data. Finally, advocate Integrated Health Surveillance in One context, favoring tailored solutions problems recognizing interconnected risks plants, humans, animals environment, food insecurity, pesticide residues, environmental pollution alterations ecosystem services.

Язык: Английский

---

Genome-wide markers test the status of two putative species of North American bumble bees

Conservation Genetics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Язык: Английский

---

Promoting Equity Between the Global North and Global South in Entomological Research

Current Opinion in Insect Science, Год журнала: 2025, Номер unknown, С. 101357 - 101357

Опубликована: Март 1, 2025

Язык: Английский

---

Advanced Insect Detection Network for UAV-Based Biodiversity Monitoring

Remote Sensing, Год журнала: 2025, Номер 17(6), С. 962 - 962

Опубликована: Март 9, 2025

The Advanced Insect Detection Network (AIDN), which represents a significant advancement in the application of deep learning for ecological monitoring, is specifically designed to enhance accuracy and efficiency insect detection from unmanned aerial vehicle (UAV) imagery. Utilizing novel architecture that incorporates advanced activation normalization techniques, multi-scale feature fusion, custom-tailored loss function, AIDN addresses unique challenges posed by small size, high mobility, diverse backgrounds insects images. In comprehensive testing against established models, demonstrated superior performance, achieving 92% precision, 88% recall, an F1-score 90%, mean Average Precision (mAP) score 89%. These results signify substantial improvement over traditional models such as YOLO v4, SSD, Faster R-CNN, typically show performance metrics approximately 10–15% lower across similar tests. practical implications AIDNs are profound, offering benefits agricultural management biodiversity conservation. By automating classification processes, reduces labor-intensive tasks manual enabling more frequent accurate data collection. This collection quality frequency enhances decision making pest conservation, leading effective interventions strategies. AIDN’s design capabilities set new standard field, promising scalable solutions UAV-based monitoring. Its ongoing development expected integrate additional sensory real-time adaptive further applicability, ensuring its role transformative tool monitoring environmental science.

Язык: Английский

---

Scientists' warning on the need for greater inclusion of dragonflies in global conservation

Insect Conservation and Diversity, Год журнала: 2025, Номер unknown

Опубликована: Март 15, 2025

Abstract Dragonflies (Odonata) are ancient and familiar insects with a deep strong cultural association humans. They have an aquatic larval stage aerial adult stage, meaning that they respond to ecological conditions in both freshwater the adjacent land surface. Currently, 16% of dragonflies threatened. Overall, face several threats, especially habitat loss, landscape transformation, pollution, altered hydrology, spread invasive alien species, as well certain geographic‐specific threats. Overarching these which can be interactive each other, is issue global climate change attendant extreme weather events. While many localised specialist species under threat, some other dragonfly mostly generalists, benefit from moderate human activities, creation high‐quality artificial ponds. As well‐researched insects, play important role protection riparian ecosystems. Dragonfly assemblages great value sentinels deteriorating environmental ecosystem recovery following restoration. similar findings on threats conservation actions emerging across world, ecosystems require targeted approaches. Above all, must included more widely general biodiversity activities policies. targets, tools model organisms for action, act potential surrogates taxa also depend high water zone quality. research has paved way address challenges, including use new technologies, we now urge strongly policy management associated terrestrial realms. This inclusion effective appeal diverse community people odonatologists (citizen professional) through policymakers managers, all whom employ contribute freshwater‐associated conservation. Finally, propose action plan focusing five points opportunities, suggest where greater freshwater/riparian world.

Язык: Английский

---

Causes and consequences of insect decline in tropical forests

Опубликована: Апрель 4, 2025

Язык: Английский

---

Open and FAIR data sharing are building blocks to bolster biodiversity conservation in Southeast Asia

Biological Conservation, Год журнала: 2025, Номер 307, С. 111192 - 111192

Опубликована: Апрель 24, 2025

Язык: Английский

---

Low-cost larvae tracking using a magnetic sensor array system

Revista Brasileira de Entomologia, Год журнала: 2025, Номер 69(2)

Опубликована: Янв. 1, 2025

ABSTRACT Soil-dwelling pests, such as Phyllophaga larvae, pose significant challenges to agriculture they feed on crop roots, causing substantial losses. Their hidden behavior within the soil further complicates monitoring and control efforts. Traditional methods, manual excavation acoustic detection, are often invasive, labor-intensive, or limited in precision. To address these challenges, this study aimed establish a reliable methodology larval trajectories responses environment without disturbing its natural behavior. This describes development of an innovative system for precise tracking combining magnetic markers with array magnetoresistive sensors. Larvae were tagged neodymium magnets tracked using 64 anisotropic sensors while being attracted by food sources repelled electrical stimuli. The movement larvae marked tags Zea mays Solanum tuberosum roots was successfully monitored. validated 3D printer framework reference, achieving high accuracy minimal uncertainty. Adjustments made z-axis account variations distance between magnet sensor array. Experiments demonstrated ability guide through controlled stimuli, confirming system's utility behavioral studies. approach offers improvements over traditional methods preserving integrity, enhancing precision, enabling real-time tracking. findings provide valuable tool understanding subterranean pest dynamics support sustainable management strategies agriculture.

Язык: Английский

---