Early detection of biodiversity degradation risks: The critical role of remote sensing

The latest UN environmental report warns that the world is facing three interconnected crises: climate change, environmental pollution, and biodiversity loss. Notably, under the dual pressures of extreme weather events and long-term environmental pollution, both the rate of species extinction and the extent of habitat degradation have reached unprecedented levels. Efficient monitoring and prediction of high-risk areas and critical periods are essential to mitigating biodiversity loss. Traditional methods, which rely heavily on in-situ ground observations, often provide only localized snapshots of ecosystem change. These approaches fall short in addressing the need for global, cross-scale identification and early warning of biodiversity degradation risks. A multi-scale remote sensing network offers a powerful solution, enabling early detection and timely mitigation by integrating satellite observations, aerial drones, ground-based monitoring stations, and oceanic sensors. The fusion of complementary data sources enhances both spatial resolution and coverage, allowing for dynamic tracking of biodiversity across scales. To operationalize such a system globally, international collaboration, open data access, standardized indicators, and strategic technological investments are crucial. Taken together, this integrated framework will strengthen real-time ecological forecasting and support proactive policy and conservation responses.

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Publication Details

Journal
Fundamental Research
Published
2025-09-01
DOI
https://doi.org/10.1016/j.fmre.2025.08.011
Citations
1
Primary Topic
Coral and Marine Ecosystems Studies
Type
article
Field-Weighted Citation Impact
1.72
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Early detection of biodiversity degradation risks: The critical role of remote sensing

A Yinglan, Mimi Gong, Jin Wu, Libo Wang et al.
1 citations
Fundamental Research
Coral and Marine Ecosystems Studies
1.72
article

Early detection of biodiversity degradation risks: The critical role of remote sensing

A Yinglan, Mimi Gong, Jin Wu, Libo Wang, Qiao Wang, Yuntao Wang, Meng Zhang
article en
1 citations

Abstract

The latest UN environmental report warns that the world is facing three interconnected crises: climate change, environmental pollution, and biodiversity loss. Notably, under the dual pressures of extreme weather events and long-term environmental pollution, both the rate of species extinction and the extent of habitat degradation have reached unprecedented levels. Efficient monitoring and prediction of high-risk areas and critical periods are essential to mitigating biodiversity loss. Traditional methods, which rely heavily on in-situ ground observations, often provide only localized snapshots of ecosystem change. These approaches fall short in addressing the need for global, cross-scale identification and early warning of biodiversity degradation risks. A multi-scale remote sensing network offers a powerful solution, enabling early detection and timely mitigation by integrating satellite observations, aerial drones, ground-based monitoring stations, and oceanic sensors. The fusion of complementary data sources enhances both spatial resolution and coverage, allowing for dynamic tracking of biodiversity across scales. To operationalize such a system globally, international collaboration, open data access, standardized indicators, and strategic technological investments are crucial. Taken together, this integrated framework will strengthen real-time ecological forecasting and support proactive policy and conservation responses.

Fundamental Research
Beijing Normal University (CN)
Openalex Percentile: Top 14%
Coral and Marine Ecosystems Studies
1.72
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Early detection of biodiversity degradation risks: The critical role of remote sensing — A Yinglan, Mimi Gong, et al. · Fundamental Research (2025) | TGRS Research Map | TGRS