Amid intensifying environmental risks,including climate change,biodiversity loss,and pollution,global ecosystems are under unprecedented pressure.Environmental monitoring forms the cornerstone of governance,as ecologi...Amid intensifying environmental risks,including climate change,biodiversity loss,and pollution,global ecosystems are under unprecedented pressure.Environmental monitoring forms the cornerstone of governance,as ecological risk events unfold through interconnected stages of occurrence,development,migration,and impact.However,current monitoring systems remain fragmented across platforms,regions,and data infrastructures,with inconsistent standards and poor interoperability limiting timely detection and coordinated response.In response to these limitations,we propose a global ecological risk monitoring framework that integrates satellite,aerial,terrestrial,and marine platforms into a hierarchically structured,multi-scale network.This framework supports continuous,cross-scale observation of atmospheric,terrestrial,and aquatic systems,enabling end-to-end lifecycle tracking of ecological and environmental hazards.By synthesizing the strengths of existing monitoring networks and promoting transboundary data interoperability,the system facilitates a transition from passive environmental response to proactive,real-time risk forecasting and decision-making.展开更多
China’s“Three Waters”system(water environment,resource,and ecology)forms a critical foundation for achiev-ing Sustainable Development Goals(SDGs).However,conventional management tools often treat these compo-nents ...China’s“Three Waters”system(water environment,resource,and ecology)forms a critical foundation for achiev-ing Sustainable Development Goals(SDGs).However,conventional management tools often treat these compo-nents in isolation,overlooking their internal and interactive couplings.This study uncovers interactions within and between the“Three Waters”system and sustainable development goals and identifies key policy levers to support water sustainability across 77 counties and districts in the Yellow River Basin of Shandong Province.We construct a complex“Sustainable Water^(3) Space”network that integrates SDG indicators from SDG 1(No Poverty)to SDG 15(Life on Land)to systematically capture synergies and critical nodes.We also introduce an innovative evaluation framework that combines eigenvector centrality and complexity to identify regions and indicators with cascading influences or systemic importance.The network demonstrates a stable four-cluster regional structure(Socioeco-nomic Development,Water Resource,Water Environment,and Water Ecology)from 2015 to 2022,and the emerg-ing“bridges”and complex indicators,such as water usage per unit of GDP,surface water quality,and pesticide application,reflect a shift from isolated growth to coevolution of economy and environment.Based on these find-ings,we propose differentiated regional strategies.For instance,Licheng District can improve water quality and pollutant control by reducing residential wastewater discharge,whereas Wudi County should prioritize curbing industrial pollution and enhance water-use efficiency relative to GDP.This study depicts the systemic evolution of watershed performance at the county level through a network methodology that can serve as a decision-making tool to support differentiated and targeted sustainable development strategies in the Yellow River Basin.展开更多
Mangrove deforestation amplifies systemic risks by worsening extreme weather events,impeding socio-economic development,and exposing governance vulnerabilities.Yet,the extent to which mangrove dynamics-both loss and r...Mangrove deforestation amplifies systemic risks by worsening extreme weather events,impeding socio-economic development,and exposing governance vulnerabilities.Yet,the extent to which mangrove dynamics-both loss and restoration-interact with climate,socio-economic,and governance systems to mitigate systemic risk re-mains underexplored.Drawing on the economic concept of“product space,”we construct a Mangrove Multi-systemic Risk Space,a network-based framework linking indicators across mangrove change,climate impacts,socio-economic development,and policy interventions.The network reveals a bipartite structure,with distinct clusters for mangrove loss and expansion,each surrounded by synergistic indicators.The mangrove loss clus-ter is tightly coupled with greenhouse gas emissions and climate extremes,while the expansion cluster aligns with renewable energy,economic growth,and population dynamics.Within this space,we identify two types of structurally significant indicators:“influential”(e.g.,Ramsar site coverage)with high cascading potential,and“complex”indicators that require coordinated improvements across multiple dimensions,highlighting their sys-temic vulnerability.At the national level,the United States leads in achieving complex goals such as reducing extreme events,whereas New Zealand and Panama emerge as hubs of influential,well-performing indicators.These findings underscore the differentiated roles of mangrove-rich nations in mitigating systemic risk and call for strengthened global cooperation in mangrove conservation.展开更多
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...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 es-sential 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 sens-ing 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 complemen-tary 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,standard-ized 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.展开更多
基金supported by the National Science Fund for Distin-guished Young Scholars(52125901)Excellent Young Scientists Fund Project of National Natural Science Foundation of China(52422901)the Key Program of the National Natural Science Foundation of China(52339002).
文摘Amid intensifying environmental risks,including climate change,biodiversity loss,and pollution,global ecosystems are under unprecedented pressure.Environmental monitoring forms the cornerstone of governance,as ecological risk events unfold through interconnected stages of occurrence,development,migration,and impact.However,current monitoring systems remain fragmented across platforms,regions,and data infrastructures,with inconsistent standards and poor interoperability limiting timely detection and coordinated response.In response to these limitations,we propose a global ecological risk monitoring framework that integrates satellite,aerial,terrestrial,and marine platforms into a hierarchically structured,multi-scale network.This framework supports continuous,cross-scale observation of atmospheric,terrestrial,and aquatic systems,enabling end-to-end lifecycle tracking of ecological and environmental hazards.By synthesizing the strengths of existing monitoring networks and promoting transboundary data interoperability,the system facilitates a transition from passive environmental response to proactive,real-time risk forecasting and decision-making.
文摘China’s“Three Waters”system(water environment,resource,and ecology)forms a critical foundation for achiev-ing Sustainable Development Goals(SDGs).However,conventional management tools often treat these compo-nents in isolation,overlooking their internal and interactive couplings.This study uncovers interactions within and between the“Three Waters”system and sustainable development goals and identifies key policy levers to support water sustainability across 77 counties and districts in the Yellow River Basin of Shandong Province.We construct a complex“Sustainable Water^(3) Space”network that integrates SDG indicators from SDG 1(No Poverty)to SDG 15(Life on Land)to systematically capture synergies and critical nodes.We also introduce an innovative evaluation framework that combines eigenvector centrality and complexity to identify regions and indicators with cascading influences or systemic importance.The network demonstrates a stable four-cluster regional structure(Socioeco-nomic Development,Water Resource,Water Environment,and Water Ecology)from 2015 to 2022,and the emerg-ing“bridges”and complex indicators,such as water usage per unit of GDP,surface water quality,and pesticide application,reflect a shift from isolated growth to coevolution of economy and environment.Based on these find-ings,we propose differentiated regional strategies.For instance,Licheng District can improve water quality and pollutant control by reducing residential wastewater discharge,whereas Wudi County should prioritize curbing industrial pollution and enhance water-use efficiency relative to GDP.This study depicts the systemic evolution of watershed performance at the county level through a network methodology that can serve as a decision-making tool to support differentiated and targeted sustainable development strategies in the Yellow River Basin.
基金the financial support from the National Natural Science Foundation of China(52425005).
文摘Mangrove deforestation amplifies systemic risks by worsening extreme weather events,impeding socio-economic development,and exposing governance vulnerabilities.Yet,the extent to which mangrove dynamics-both loss and restoration-interact with climate,socio-economic,and governance systems to mitigate systemic risk re-mains underexplored.Drawing on the economic concept of“product space,”we construct a Mangrove Multi-systemic Risk Space,a network-based framework linking indicators across mangrove change,climate impacts,socio-economic development,and policy interventions.The network reveals a bipartite structure,with distinct clusters for mangrove loss and expansion,each surrounded by synergistic indicators.The mangrove loss clus-ter is tightly coupled with greenhouse gas emissions and climate extremes,while the expansion cluster aligns with renewable energy,economic growth,and population dynamics.Within this space,we identify two types of structurally significant indicators:“influential”(e.g.,Ramsar site coverage)with high cascading potential,and“complex”indicators that require coordinated improvements across multiple dimensions,highlighting their sys-temic vulnerability.At the national level,the United States leads in achieving complex goals such as reducing extreme events,whereas New Zealand and Panama emerge as hubs of influential,well-performing indicators.These findings underscore the differentiated roles of mangrove-rich nations in mitigating systemic risk and call for strengthened global cooperation in mangrove conservation.
基金supported by the National Natural Science Foundation of China(52422901).
文摘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 es-sential 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 sens-ing 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 complemen-tary 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,standard-ized 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.
