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Early detection of biodiversity degradation risks: The critical role of remote sensing
Libo Wang1, Yinglan A2,3, Mimi Gong2,3
1College of Water Sciences, Beijing Normal University, Beijing 100875, China.
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.
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