ReviewFundamental research2026
Early detection of biodiversity degradation risks: The critical role of remote sensing.
Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Advancing the science of systemic environmental risk in an era of global change.Fundamental research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.