China is now confronting the intertwined challenges of air pollution and climate change.Given the high synergies between air pollution abatement and climate change mitigation,the Chinese government is actively promoti...China is now confronting the intertwined challenges of air pollution and climate change.Given the high synergies between air pollution abatement and climate change mitigation,the Chinese government is actively promoting synergetic control of these two issues.The Synergetic Roadmap project was launched in 2021 to track and analyze the progress of synergetic control in China by developing and monitoring key indicators.The Synergetic Roadmap 2022 report is the first annual update,featuring 20 indicators across five aspects:synergetic governance system and practices,progress in structural transition,air pollution and associated weather-climate interactions,sources,sinks,and mitigation pathway of atmospheric composition,and health impacts and benefits of coordinated control.Compared to the comprehensive review presented in the 2021 report,the Synergetic Roadmap 2022 report places particular emphasis on progress in 2021 with highlights on actions in key sectors and the relevant milestones.These milestones include the proportion of non-fossil power generation capacity surpassing coal-fired capacity for the first time,a decline in the production of crude steel and cement after years of growth,and the surging penetration of electric vehicles.Additionally,in 2022,China issued the first national policy that synergizes abatements of pollution and carbon emissions,marking a new era for China's pollution-carbon co-control.These changes highlight China's efforts to reshape its energy,economic,and transportation structures to meet the demand for synergetic control and sustainable development.Consequently,the country has witnessed a slowdown in carbon emission growth,improved air quality,and increased health benefits in recent years.展开更多
It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on gree...It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on greenhouse gas reduction,air quality improvement,and improved health.In the context of carbon peak,carbon neutrality,and clean air policies,this perspective tracks and analyzes the process of the synergetic governance of air pollution and climate change in China by developing and monitoring 18 indicators.The 18 indicators cover the following five aspects:air pollution and associated weather-climate conditions,progress in structural transition,sources,inks,and mitigation pathway of atmospheric composition,health impacts and benefits of coordinated control,and synergetic governance system and practices.By tracking the progress in each indicator,this perspective presents the major accomplishment of coordinated control,identifies the emerging challenges toward the synergetic governance,and provides policy recommendations for designing a synergetic roadmap of Carbon Neutrality and Clean Air for China.展开更多
The snow leopard(Panthera uncia)inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism,including in Qomolangma NNR on the northern side...The snow leopard(Panthera uncia)inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism,including in Qomolangma NNR on the northern side of the Chinese Himalayas.Despite these positive attitudes,many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards,altering their habitat use patterns and ultimately impacting their conservation.We adopted a dynamic landscape ecology perspective and used multiscale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km^(2) communal landscape.We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year.HABITAT was the optimal model in winter,whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer(AICc_(w)≤2).Overall,model performance was better in the winter than in the summer,suggesting that perhaps some latent summer covariates were not measured.Among the individual variables,terrain ruggedness strongly affected snow leopard habitat use in the winter,but not in the summer.Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale(4000 m focal radius)but with a lesser scale in summer(30 m);Snow leopards preferred habitat with a slope of 22°at a scale of 1000 m throughout both seasons,which is possibly correlated with prey occurrence.Furthermore,all covariates mentioned above showed inextricable ties with human activities(presence of settlements and grazing intensity).Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use,even under low human density when anthropogenic activities are sparsely distributed across a vast landscape.This study is also valuable for habitat use research in the future,especially regarding covariate selection for finite sample sizes展开更多
基金supported by the National Natural Science Foundation of China,China(72243008,41921005,and 72140003)the Energy Foundation,China.
文摘China is now confronting the intertwined challenges of air pollution and climate change.Given the high synergies between air pollution abatement and climate change mitigation,the Chinese government is actively promoting synergetic control of these two issues.The Synergetic Roadmap project was launched in 2021 to track and analyze the progress of synergetic control in China by developing and monitoring key indicators.The Synergetic Roadmap 2022 report is the first annual update,featuring 20 indicators across five aspects:synergetic governance system and practices,progress in structural transition,air pollution and associated weather-climate interactions,sources,sinks,and mitigation pathway of atmospheric composition,and health impacts and benefits of coordinated control.Compared to the comprehensive review presented in the 2021 report,the Synergetic Roadmap 2022 report places particular emphasis on progress in 2021 with highlights on actions in key sectors and the relevant milestones.These milestones include the proportion of non-fossil power generation capacity surpassing coal-fired capacity for the first time,a decline in the production of crude steel and cement after years of growth,and the surging penetration of electric vehicles.Additionally,in 2022,China issued the first national policy that synergizes abatements of pollution and carbon emissions,marking a new era for China's pollution-carbon co-control.These changes highlight China's efforts to reshape its energy,economic,and transportation structures to meet the demand for synergetic control and sustainable development.Consequently,the country has witnessed a slowdown in carbon emission growth,improved air quality,and increased health benefits in recent years.
基金This work was supported by the National Natural Science Foundation of China(41921005,42130708,and 72140003)and the Energy Foundation.
文摘It is well recognized that carbon dioxide and air pollutants share similar emission sources so that synergetic policies on climate change mitigation and air pollution control can lead to remarkable co-benefits on greenhouse gas reduction,air quality improvement,and improved health.In the context of carbon peak,carbon neutrality,and clean air policies,this perspective tracks and analyzes the process of the synergetic governance of air pollution and climate change in China by developing and monitoring 18 indicators.The 18 indicators cover the following five aspects:air pollution and associated weather-climate conditions,progress in structural transition,sources,inks,and mitigation pathway of atmospheric composition,health impacts and benefits of coordinated control,and synergetic governance system and practices.By tracking the progress in each indicator,this perspective presents the major accomplishment of coordinated control,identifies the emerging challenges toward the synergetic governance,and provides policy recommendations for designing a synergetic roadmap of Carbon Neutrality and Clean Air for China.
文摘The snow leopard(Panthera uncia)inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism,including in Qomolangma NNR on the northern side of the Chinese Himalayas.Despite these positive attitudes,many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards,altering their habitat use patterns and ultimately impacting their conservation.We adopted a dynamic landscape ecology perspective and used multiscale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km^(2) communal landscape.We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year.HABITAT was the optimal model in winter,whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer(AICc_(w)≤2).Overall,model performance was better in the winter than in the summer,suggesting that perhaps some latent summer covariates were not measured.Among the individual variables,terrain ruggedness strongly affected snow leopard habitat use in the winter,but not in the summer.Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale(4000 m focal radius)but with a lesser scale in summer(30 m);Snow leopards preferred habitat with a slope of 22°at a scale of 1000 m throughout both seasons,which is possibly correlated with prey occurrence.Furthermore,all covariates mentioned above showed inextricable ties with human activities(presence of settlements and grazing intensity).Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use,even under low human density when anthropogenic activities are sparsely distributed across a vast landscape.This study is also valuable for habitat use research in the future,especially regarding covariate selection for finite sample sizes
