Sustainable Development Goals(SDGs)are paramount as the global community confronts the ramifications of climate alterations,especially its implications on population dynamics.Initial studies suggest an intricate relat...Sustainable Development Goals(SDGs)are paramount as the global community confronts the ramifications of climate alterations,especially its implications on population dynamics.Initial studies suggest an intricate relationship between environmental determinants and reproductive choices.This systematic review elucidates the complex interplay between climate-related challenges and observed global fertility rate variations.A comprehensive search and analysis of literature published in the last 10 years(2013-2023),available in the PubMed database,delineates the relationship between environmental changes and fertility patterns in both human and animal populations.The review highlighted significant effects of climatic fluctuations on reproductive health,manifested as either adaptive or maladaptive responses to environmental stressors.This relationship not only influences population trajectories but may also have complications for the SDGs,specifically those pertaining to health,well-being,and gender equality.The study emphasizes the importance of intertwining demographic insights with ecological considerations.A deeper understanding of the nexus between climate and fertility can augment strategies aimed at global sustainability.The synthesized evidence underscores the urgency for further research,which seeks to seamlessly incorporate eco-fertility perspectives intowider climate and sustainability discussions.展开更多
1.Background The United Nations(UN)2030 Agenda for Sustainable Development,adopted in 2015,established the Sustainable Development Goals(SDGs)as a comprehensive framework to address global challenges through interconn...1.Background The United Nations(UN)2030 Agenda for Sustainable Development,adopted in 2015,established the Sustainable Development Goals(SDGs)as a comprehensive framework to address global challenges through interconnected social,economic,and environmental targets.展开更多
This research discusses the core concepts,evolutionary trajectories,inherent differences and intrinsic interconnections between carbon-based and silicon-based life forms.On this basis,we further analyze the potential ...This research discusses the core concepts,evolutionary trajectories,inherent differences and intrinsic interconnections between carbon-based and silicon-based life forms.On this basis,we further analyze the potential risks brought by the unbalanced development of carbon and silicon economies.Then we point out a critical reality:although silicon-based life still depends on the assistance of carbon-based life for its evolution at present,the unconstrained growth of the silicon-based economy may ultimately undermine the survival and development of carbon-based economies and carbon-based life itself.We also give the solutions under our new theory,using the revenue and time saved from the silicon-based economy to subsidize the carbon-based economy,and producing more ecological products.The study proposes 6 strategic recommendations:(1)human society should establish a carbon-based life community;(2)environmental institutions produce more essential ecological products for the community,not only for human life;(3)all stakeholders take advantage of silicon-based life while also restricting its unlimited development;(4)countries and industries give full play to the positive role of the silicon-based economy in climate change mitigation and carbon-based life health;(5)relevant governance bodies enable AI to Participate in politics,assist in formulating policies and implement them fairly.(6)regions and economic entities develop diverse carbon-based economies based on the non-monetary trading system.展开更多
The rapid urbanization and increasing challenges are faced by cities globally,including climate change,population growth,and resource constraints.Sustainable smart city(also referred to as“smart sustainable city”)ca...The rapid urbanization and increasing challenges are faced by cities globally,including climate change,population growth,and resource constraints.Sustainable smart city(also referred to as“smart sustainable city”)can offer innovative solutions by integrating advanced technologies to build smarter,greener,and more livable urban environments with significant benefits.Using the Web of Science(WoS)database,this study examined:(i)the mainstream approaches and current research trends in the literature of sustainable smart city;(ii)the extent to which the research of sustainable smart city aligns with Sustainable Development Goals(SDGs);(iii)the current topics and collaboration patterns in sustainable smart city research;and(iv)the potential opportunities for future research on the sustainable smart city field.The findings indicated that research on sustainable smart city began in 2010 and gained significant momentum in 2013,with China leading,followed by Italy and Spain.Moreover,59.00%of the selected publications on the research of sustainable smart city focus on SDG 11(Sustainable Cities and Communities).Bibliometric analysis outcome revealed that artificial intelligence(AI),big data,machine learning,and deep learning are emerging research fields.The terms smart city,smart cities,and sustainability emerged as the top three co-occurring keywords with the highest link strength,followed by frequently co-occurring keywords such as AI,innovation,big data,urban governance,resilience,machine learning,and Internet of Things(IoT).The clustering results indicated that current studies explored the theoretical foundation,challenges,and future prospects of sustainable smart city,with an emphasis on sustainability.To further support urban sustainability and the attainment of SDGs,the future research of sustainable smart city should explore the application and implications of AI and big data on urban development including cybersecurity and governance challenges.展开更多
Ecosystems play a pivotal role in advancing Sustainable Development Goals(SDGs)by providing indispensable and resilient ecosystem services(ESs).However,the limited analysis of spatiotemporal heterogeneity often re str...Ecosystems play a pivotal role in advancing Sustainable Development Goals(SDGs)by providing indispensable and resilient ecosystem services(ESs).However,the limited analysis of spatiotemporal heterogeneity often re stricts the recognition of ESs’roles in attaining SDGs and landscape planning.We selected 183 counties in the Sichuan Province as the study area and mapped 10 SDGs and 7 ESs from 2000 to 2020.We used correlation analysis,principal component analysis,Geographically and Temporally Weighted Regression model,and self organizing maps to reveal the spatiotemporal heterogeneity of the impacts of the bundle of ESs on the SDGs and to develop spatial planning and management strategies.The results showed that(1)SDGs were improved in all counties,with SDG 1(No Poverty)and SDG 3(Good Health and Well-being)exhibiting poor performance.West ern Sichuan demonstrated stronger performance in environment-related SDGs in the Sichuan Province,while the Sichuan Basin showed better progress in socio-economic-related SDGs;(2)habitat quality,carbon sequestration,air pollution removal,and soil retention significantly influenced the development of 9 SDGs;(3)supporting,regulating,and provisioning service bundles have persistent and stable spatiotemporal heterogeneity effects on SDG1,SDG8,SDG11,SDG13,and SDG15.These findings substantiate the need for integrated management of multiple ESs and facilitate the regional achievement of SDGs in geographically intricate areas.展开更多
Urban areas’performance in water,energy,infrastructure,and socio-economic sectors is intertwined and measurable through Sustainable Development Goals(SDGs)6–13.Effective synergy among these is critical for sustainab...Urban areas’performance in water,energy,infrastructure,and socio-economic sectors is intertwined and measurable through Sustainable Development Goals(SDGs)6–13.Effective synergy among these is critical for sustainability.This study constructs an indicator framework that reflects progress towards these urban SDGs in China.Findings indicate underperformance in SDGs 8–11,suggesting the need for transformative actions.Through network analysis,the research reveals complementarities among these SDGs.Notably,the SDG space divides into socio-economic and ecological clusters,with SDG 6(Clean Water and Sanitation)central to both.Additionally,SDG 8(Decent Work and Economic Growth)and SDG 9(Industry,Innovation,and Infrastructure)act as bridges,while greater synergies exist between SDG 12(Responsible Consumption and Production)and SDG 13(Climate Action).An in-depth view at the indicator-level shows a core-periphery structure,emphasizing indicators like SDG 6.2(Wastewater Treatment Rate)and SDG 6.6(Recycled Water Production Capacity per capita)as pivotal.This study confirms the urban SDG space’s stability and predictiveness,underscoring its value in steering well-aligned policy decisions for sustainable growth.展开更多
Background:People working outdoors in the Map Ta Phut pollution control area of Thailand require comprehen-sive health monitoring.In the past,studies have been done on the health effects of pollutants.However,there ar...Background:People working outdoors in the Map Ta Phut pollution control area of Thailand require comprehen-sive health monitoring.In the past,studies have been done on the health effects of pollutants.However,there are few studies on musculoskeletal disorders(MSDs),and Thailand is struggling to meet the Sustainable Development Goals.Methods:This cross-sectional study examines access to health services and factors affecting MSDs among outdoor pollution workers(OPWs).The sample group includes OPWs,including local fisherman,street vendors,public car drivers,and traffic police.We studied 50 people from each of these groups,for a total of 200 people.Data were analyzed with inferential statistics using Chi-square test,McNemar test,and Univariate logistic regression.Results:The OPWs reported experiencing significantly more total MSDs pain than they did in the past(P<0.05).Factors affecting current MSDs pain,including occupation and working days per week,were significant(P<0.05).The street vendor group and public car driver group had(odds ratio[OR]=2.253,95%confidence interval[CI]:1.101 to 5.019)and(OR=2.681,95%CI:1.191 to 6.032)times higher risks of MSDs pain,respectively.OPWs who work>5 days per week had a(OR=1.464,95%CI:1.093 to 2.704)times higher risk of MSDs pain.52.7%of OPWs with MSDs,pain(n=110)had received an annual health check-up.In the past year,50.9%had minor illnesses and 21.8%had severe illnesses.OPWs receiving free treatment and visiting health service stations for no cost comprised 77.3%and 51.8%,respectively.60.9%used their right to receive treatment with universal health insurance cards.Conclusions:The study indicates that occupational groups with MSDs pain problems should exercise this right,according to the worker protection law.Local health agencies should organize activities or create accessible media to promote preventive medicine services,as many OPWs believe that health services can only be accessed when illness occurs.展开更多
Blindness affected 45 million people globally in 2021,and moderate to severe vision loss a further 295 million.[1]The most common causes,cataract and uncorrected refractive error,are generally the easiest to treat,and...Blindness affected 45 million people globally in 2021,and moderate to severe vision loss a further 295 million.[1]The most common causes,cataract and uncorrected refractive error,are generally the easiest to treat,and are among the most cost-effective procedures in all of medicine and international development.[1-2]Thus,vision impairment is both extremely common and,in principle,readily manageable.展开更多
Sustainable Development Goal 2(SDG 2,zero hunger)highlights that global hunger and food insecurity have worsened since 2015,driven in part by growing imbalance.Addressing the challenge of achieving SDG 2 in the face o...Sustainable Development Goal 2(SDG 2,zero hunger)highlights that global hunger and food insecurity have worsened since 2015,driven in part by growing imbalance.Addressing the challenge of achieving SDG 2 in the face of rapid global population growth requires sustained attention to global and national cropland changes.Accurately quantifying the correlation between population and cropland area(i.e.,SDG 2.4.1 per capita cropland)and analyzing the trends of global cropland imbalance are essential for a comprehensive understanding of SDG 2.In this study,we utilized a new global 30 m land-cover dynamic dataset(GLC_FCS30D)to analyze cropland dynamics,quantify per capita cropland and its changes across various countries and levels of development.Our results indicate that the global cropland area expanded by 0.944 million km^(2)from 1985 to 2022,with an average expansion rate of 2.42×10^(4)km^(2)/yr.However,the global per capita cropland area decreased from 0.347 ha in 1985 to 0.217 ha in 2022,mainly due to a higher population increase of nearly 65%in the same period.In the context of globalization,cropland expansion and per capita cropland exhibited spatial imbalances globally,particularly in developing countries.Developing countries saw an increase in total cropland area by 7.09%but a significant decrease in per capita cropland area by 37.38%.From a temporal perspective,the global imbalance has been steadily increasing with the Gini index rising from 0.895 in 1985 to 0.909 in 2022.Consequently,this study reveals an increasing imbalance of global per capita cropland across various countries,which threatens the attainment of the targets of SDG 2.展开更多
This year marks the 50th anniversary of diplomatic relations between China and Mozambique.To commemorate this milestone,ChinAfrica spoke with Maria Gustava,Mozambique’s ambassador to China,about the state of bilatera...This year marks the 50th anniversary of diplomatic relations between China and Mozambique.To commemorate this milestone,ChinAfrica spoke with Maria Gustava,Mozambique’s ambassador to China,about the state of bilateral relations,China-Africa cooperation,and key developments shaping the global landscape.展开更多
Ecosystem services in urban agglomerations are the environmental conditions under which human survival and development are sustained.Quantitative assessment of ecosystem services and complex interactions can contribut...Ecosystem services in urban agglomerations are the environmental conditions under which human survival and development are sustained.Quantitative assessment of ecosystem services and complex interactions can contribute positively to the achievement of the Sustainable Development Goals(SDGs)for urban agglomerations.However,studies on the future contribution of multi-scenario ecosystem services to the SDGS are lacking.We pronovel integrated modeling framework that integrates the CLUES,InVEST,SOM,and GWR approaches to address the complex relationship between ecosystem services over a long“past-present-future”time series.We construct a novel ecosystem service bundle-based approach for measuring urban agglomerations progress towards achieving ecologically relevant sustainable development goals at multiple scales.In the future scenario,the water yield(WY),habitat quality(HQ),and soil conservation(SC)show similar spatial patterns,with comparable spatial grids,while carbon stock(CS)remains predominantly unchanged and the ecological protection scenario(EPS)improves more significantly.The high-synergy regions are mainly distributed in bundle 4,and most of the trade-off regions appear in bundles 1 and 2.Over the last 30 years,all but the water-related SDGs are declining in bundle 1 of the two urban agglomerations,which are 15%higher in the Guangxi Beibu Gulf(GBG)than in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).From 2020 to 2035,the three scenarios demonstrate that the optimization of the SDGs progresses most effectively under the future ecological protection scenario(EPS).In particular,bundles 3 and 4 are significantly improved.This critical new knowledge can be used in sustainable ecosystem management and decision-making in urban agglomerations.展开更多
Geography is a discipline that touches multiple sciences and has been key to bridging numerous fields of knowl edge.This gives geography the advantage of connecting natural(e.g.,biology,ecology,climatology,geomorphol ...Geography is a discipline that touches multiple sciences and has been key to bridging numerous fields of knowl edge.This gives geography the advantage of connecting natural(e.g.,biology,ecology,climatology,geomorphol ogy)with social and human(e.g.,education,demography,sociology)sciences.The spatialisation of information from different sciences allows us to understand distribution patterns and connections between different realities.Thus,geographical knowledge is essential for an integrated and consistent understanding of our world.The Sus tainable Development Goals(SDGs)established by the United Nations(UN)in 2015 were essential to unifying the world towards a common goal.To achieve these,17 goals and 169 targets were created,and knowledge from multiple sciences is needed to support them.It is a huge challenge,and different knowledge branches are needed to connect.Geography and geographical knowledge have this capacity and support all 17 goals and 169 targets.Although this is a reality,as it will be explained in this editorial,SDG’s achievement for some is becoming utopic and unrealistic due to our world’s differences.It is time to think about the post-2030 SDGs,in which geography and geographic knowledge will be essential unequivocally.展开更多
Achieving Sustainable Development Goals(SDGs)requires place-based solutions that reconcile global aspirations with local realities.Landscapes and regions represent a pivotal scale domain—large enough to capture cross...Achieving Sustainable Development Goals(SDGs)requires place-based solutions that reconcile global aspirations with local realities.Landscapes and regions represent a pivotal scale domain—large enough to capture cross-boundary ecological and socioeconomic processes,yet sufficiently grounded to enable context-sensitive understanding and governance.Landscape sustainability science offers a robust framework for bridging the global-local divide in SDG implementation.Rooted in the long-standing convergence between ecology and geography—tracing back to Humboldt’s unity of nature—landscape sustainability science advances a spatially explicit,systems-oriented approach guided by the principles of strong sustainability.Here we present the landscape sustainability science framework,structured around the core triad of landscape pattern,ecosystem services,and human wellbeing,and operationalized through dual feedback loops and the analysis–adaptation–assessment cycle.Our assessment shows that landscape sustainability science contributes directly to eight SDGs and indirectly to six others,offering actionable strategies for climate resilience,sustainable land management,and inclusive landscape governance.By helping to spatialize,localize,and operationalize global sustainability targets,landscape sustainability science provides a pragmatic pathway to advance the SDGs in diverse socioecological contexts.If global sustainability is to be achieved,we must think and act like a landscape.展开更多
The United Nations Sustainable Development Goal(SDG) 2 aims to achieve Zero Hunger by 2030.However,global hunger and food insecurity have continued to rise at an alarming rate(UN 2023).Subtropical regions are home to ...The United Nations Sustainable Development Goal(SDG) 2 aims to achieve Zero Hunger by 2030.However,global hunger and food insecurity have continued to rise at an alarming rate(UN 2023).Subtropical regions are home to more than 30% of the world's population,predominantly in developing countries where per capita farmland and food supply are only 40% of those in developed nations(FAO 2018).Meeting the Zero Hunger target amid ongoing population growth in these regions requires a substantial increase in agricultural production while minimizing soil degradation and adverse ecological impacts.This challenge is shared by many countries across South Asia,Africa,and Central and South America.展开更多
China Standardization:Can you please briefly introduce ISO,its international standards as well as your scope of work?Rachel Miller Prada:ISO is an independent non-governmental organization dedicated to developing inte...China Standardization:Can you please briefly introduce ISO,its international standards as well as your scope of work?Rachel Miller Prada:ISO is an independent non-governmental organization dedicated to developing international standards.Currently,ISO has 175 member bodies,representing 175 countries that participate in its standard development work.We have a portfolio of over 24,000 international standards,with around 100 new standards issued or existing ones revised every month.The ultimate goal of our standardization work is to support the achievement of the United Nations Sustainable Development Goals(SDGs).Every standard we develop and every task I undertake in my role contributes to these global objectives.展开更多
The 17 Sustainable Development Goals(SDGs)for 2030,adopted by all United Nations member states in 2015,are facing a range of challenges.Factors such as climate change,regional conflicts and economic recession are havi...The 17 Sustainable Development Goals(SDGs)for 2030,adopted by all United Nations member states in 2015,are facing a range of challenges.Factors such as climate change,regional conflicts and economic recession are having a significant impact,particularly on global poverty governance.As a platform for dialogue,exchange and technical cooperation,the 2025 International Seminar on Global Poverty Reduction Partnerships was held in Beijing on 10 December 2025.展开更多
Rivers are essential for water supply,agriculture,hydropower,and biodiversity,yet they face increasing threats from climate change and pollution globally.The Koshi River Basin,spanning China,Nepal,and India,is a trans...Rivers are essential for water supply,agriculture,hydropower,and biodiversity,yet they face increasing threats from climate change and pollution globally.The Koshi River Basin,spanning China,Nepal,and India,is a transboundary basin that includes glacier-fed headwaters and densely populated downstream regions.This study investigates the hydrogeochemistry and water quality dynamics of the basin,focusing on seasonal and spatial variations and their implications for drinking and irrigation suitability.A total of 117 water samples from different segments of the basin were analyzed across premonsoon,monsoon,and post-monsoon seasons using in-situ,laboratory tests,and multivariate statistical methods.The results indicated that carbonate and silicate weathering were the dominant sources of solutes in the study region,with Ca^(2+)and HCO_(3)^(-)being the major ionic constituents.Seasonal variations revealed higher ionic concentrations in pre-and postmonsoon periods due to increased mineralization,while monsoonal dilution significantly reduced solute loads.Spatially,the higher hydrogeochemistry index in the upstream and lower values in downstream tributaries indicate intensive weathering in the headwaters but are further diluted by melting water and precipitation downstream.Inversely,higher pollution risks only appeared in downstream areas,where NO_(3)^(-)suggested agricultural runoff and wastewater intrusion.Water quality index<50 classified most river segments as suitable for drinking,while sodium adsorption ratio<1 confirmed irrigation suitability,except in some segments of the downstream zones with higher anthropogenic influence based on major ions.This study also supports Sustainable Development Goal 6(clean water and sanitation),13(climate action),and 15(life on land)by providing critical insights into water quality dynamics and informing sustainable water management strategies applicable to other glacier-fed river basins worldwide.展开更多
Rice cultivation,vital to global food security and the United Nations Sustainable Development Goals(SDGs),faces increasing threats from industrial pollution,which contaminates soil and water,endangers human health,and...Rice cultivation,vital to global food security and the United Nations Sustainable Development Goals(SDGs),faces increasing threats from industrial pollution,which contaminates soil and water,endangers human health,and weakens agricultural resilience.Studies indicate that contaminants such as persistent organic pollutants,radioactive elements,dyes,and potentially toxic elements,particularly from mining and industrial activities,significantly degrade soil fertility,impair plant health,and introduce harmful residues into the food chain.This contamination compromises food safety and diminishes agricultural productivity,posing a serious challenge to sustainability.Addressing these impacts requires sustainable industrial practices,advanced technologies,and eco-friendly remediation techniques.Solutions like biochar applications,precision farming,and artificial intelligence(AI)-driven pollution detection provide effective measures for restoring soil health,protecting crop integrity,and ensuring the resilience of rice farming.These approaches align rice cultivation with global sustainability goals by integrating sustainable soil and water management,adaptive crop selection,and AI innovations.Protecting rice cultivation upholds farmer livelihoods and strengthens global commitments to SDGs Zero Hunger and a resilient,safe food supply,underscoring the essential balance between industrial progress and sustainable rice cultivation.展开更多
Floodplain wetlands are invaluable ecosystems providing numerous ecological benefits,yet they face a global crisis necessitating sustainable preservation efforts.This study examines the depletion of floodplain wetland...Floodplain wetlands are invaluable ecosystems providing numerous ecological benefits,yet they face a global crisis necessitating sustainable preservation efforts.This study examines the depletion of floodplain wetlands within the Hastinapur Wildlife Sanctuary(HWLS)in Uttar Pradesh.Encroachment activities such as grazing,agriculture,and human settlements have fragmented and degraded critical wetland ecosystems.Additionally,irrigation projects,dam construction,and water diversion have disrupted natural water flow and availability.To assess wetland inundation in 2023,five classification techniques were employed:Random Forest(RF),Support Vector Machine(SVM),artificial neural network(ANN),Spectral Information Divergence(SID),and Maximum Likelihood Classifier(MLC).SVM emerged as the most precise method,as determined by kappa coefficient and index-based validation.Consequently,the SVM classifier was used to model wetland inundation areas from 1983 to 2023 and analyze spatiotemporal changes and fragmentation patterns.The findings revealed that the SVM clas-sifier accurately mapped 2023 wetland areas.The modeled time-series data demonstrated a 62.55%and 38.12%reduction in inundated wetland areas over the past 40 years in the pre-and post-monsoon periods,respectively.Fragmentation analysis indicated an 86.27%decrease in large core wetland areas in the pre-monsoon period,signifying severe habitat degradation.This rapid decline in wetlands within protected areas raises concerns about their ecological impacts.By linking wetland loss to global sustainability objectives,this study underscores the global urgency for strengthened wetland protection measures and highlights the need for integrating wetland conservation into broader sustainable development goals.Effective policies and adaptive management strategies are crucial for preserving these ecosystems and their vital services,which are essential for biodiversity,climate regulation,and human well-being.展开更多
Urban agglomerations,representing a high-level organizational form of urbanization,play an increasingly vital role in promoting sustainable development.These regions attract substantial population inflows due to their...Urban agglomerations,representing a high-level organizational form of urbanization,play an increasingly vital role in promoting sustainable development.These regions attract substantial population inflows due to their robust economic foundations and advanced public service facilities.To assess this dynamic,an evaluation index system for urban sustainable development goals(SDGs)was constructed based on the United Nations SDGs framework.Using three representative urban agglomerations of Beijing-Tianjin-Hebei(BTH),Yangtze River Delta(YRD),and Chengdu-Chongqing(CY)in China as case studies,this research explores the realization of SDGs since the construction of the urban agglomerations and its coupling with population changes by combining multifactorial analysis and the coupling coordination degree model.Results reveal that SDG scores in these cities have increased by an average of 25.33%since 2005.Scores in central cities are significantly higher than the average,and the gap between cities is narrowing.However,there are still trade-offs among some of the goals.Additionally,the process of SDGs realization in core cities with large populations is largely coordinated with population growth.The findings provide a reference for urban agglomerations to adopt cross-regional collaborative governance measures to achieve the SDGs.展开更多
文摘Sustainable Development Goals(SDGs)are paramount as the global community confronts the ramifications of climate alterations,especially its implications on population dynamics.Initial studies suggest an intricate relationship between environmental determinants and reproductive choices.This systematic review elucidates the complex interplay between climate-related challenges and observed global fertility rate variations.A comprehensive search and analysis of literature published in the last 10 years(2013-2023),available in the PubMed database,delineates the relationship between environmental changes and fertility patterns in both human and animal populations.The review highlighted significant effects of climatic fluctuations on reproductive health,manifested as either adaptive or maladaptive responses to environmental stressors.This relationship not only influences population trajectories but may also have complications for the SDGs,specifically those pertaining to health,well-being,and gender equality.The study emphasizes the importance of intertwining demographic insights with ecological considerations.A deeper understanding of the nexus between climate and fertility can augment strategies aimed at global sustainability.The synthesized evidence underscores the urgency for further research,which seeks to seamlessly incorporate eco-fertility perspectives intowider climate and sustainability discussions.
文摘1.Background The United Nations(UN)2030 Agenda for Sustainable Development,adopted in 2015,established the Sustainable Development Goals(SDGs)as a comprehensive framework to address global challenges through interconnected social,economic,and environmental targets.
基金supported by the Fund of China Scholarship Council(Grant No.202404180010).
文摘This research discusses the core concepts,evolutionary trajectories,inherent differences and intrinsic interconnections between carbon-based and silicon-based life forms.On this basis,we further analyze the potential risks brought by the unbalanced development of carbon and silicon economies.Then we point out a critical reality:although silicon-based life still depends on the assistance of carbon-based life for its evolution at present,the unconstrained growth of the silicon-based economy may ultimately undermine the survival and development of carbon-based economies and carbon-based life itself.We also give the solutions under our new theory,using the revenue and time saved from the silicon-based economy to subsidize the carbon-based economy,and producing more ecological products.The study proposes 6 strategic recommendations:(1)human society should establish a carbon-based life community;(2)environmental institutions produce more essential ecological products for the community,not only for human life;(3)all stakeholders take advantage of silicon-based life while also restricting its unlimited development;(4)countries and industries give full play to the positive role of the silicon-based economy in climate change mitigation and carbon-based life health;(5)relevant governance bodies enable AI to Participate in politics,assist in formulating policies and implement them fairly.(6)regions and economic entities develop diverse carbon-based economies based on the non-monetary trading system.
文摘The rapid urbanization and increasing challenges are faced by cities globally,including climate change,population growth,and resource constraints.Sustainable smart city(also referred to as“smart sustainable city”)can offer innovative solutions by integrating advanced technologies to build smarter,greener,and more livable urban environments with significant benefits.Using the Web of Science(WoS)database,this study examined:(i)the mainstream approaches and current research trends in the literature of sustainable smart city;(ii)the extent to which the research of sustainable smart city aligns with Sustainable Development Goals(SDGs);(iii)the current topics and collaboration patterns in sustainable smart city research;and(iv)the potential opportunities for future research on the sustainable smart city field.The findings indicated that research on sustainable smart city began in 2010 and gained significant momentum in 2013,with China leading,followed by Italy and Spain.Moreover,59.00%of the selected publications on the research of sustainable smart city focus on SDG 11(Sustainable Cities and Communities).Bibliometric analysis outcome revealed that artificial intelligence(AI),big data,machine learning,and deep learning are emerging research fields.The terms smart city,smart cities,and sustainability emerged as the top three co-occurring keywords with the highest link strength,followed by frequently co-occurring keywords such as AI,innovation,big data,urban governance,resilience,machine learning,and Internet of Things(IoT).The clustering results indicated that current studies explored the theoretical foundation,challenges,and future prospects of sustainable smart city,with an emphasis on sustainability.To further support urban sustainability and the attainment of SDGs,the future research of sustainable smart city should explore the application and implications of AI and big data on urban development including cybersecurity and governance challenges.
基金supported by the Second Tibetan Plateau Scien-tific Expedition and Research Program(STEP)of China(Grant No.2019QZKK0402).
文摘Ecosystems play a pivotal role in advancing Sustainable Development Goals(SDGs)by providing indispensable and resilient ecosystem services(ESs).However,the limited analysis of spatiotemporal heterogeneity often re stricts the recognition of ESs’roles in attaining SDGs and landscape planning.We selected 183 counties in the Sichuan Province as the study area and mapped 10 SDGs and 7 ESs from 2000 to 2020.We used correlation analysis,principal component analysis,Geographically and Temporally Weighted Regression model,and self organizing maps to reveal the spatiotemporal heterogeneity of the impacts of the bundle of ESs on the SDGs and to develop spatial planning and management strategies.The results showed that(1)SDGs were improved in all counties,with SDG 1(No Poverty)and SDG 3(Good Health and Well-being)exhibiting poor performance.West ern Sichuan demonstrated stronger performance in environment-related SDGs in the Sichuan Province,while the Sichuan Basin showed better progress in socio-economic-related SDGs;(2)habitat quality,carbon sequestration,air pollution removal,and soil retention significantly influenced the development of 9 SDGs;(3)supporting,regulating,and provisioning service bundles have persistent and stable spatiotemporal heterogeneity effects on SDG1,SDG8,SDG11,SDG13,and SDG15.These findings substantiate the need for integrated management of multiple ESs and facilitate the regional achievement of SDGs in geographically intricate areas.
基金supported by the Excellent Young Scientists Fund from the National Natural Science Foundation of China(No.72022004)the National Key Scientific Research Project(No.2021YFC3200200).
文摘Urban areas’performance in water,energy,infrastructure,and socio-economic sectors is intertwined and measurable through Sustainable Development Goals(SDGs)6–13.Effective synergy among these is critical for sustainability.This study constructs an indicator framework that reflects progress towards these urban SDGs in China.Findings indicate underperformance in SDGs 8–11,suggesting the need for transformative actions.Through network analysis,the research reveals complementarities among these SDGs.Notably,the SDG space divides into socio-economic and ecological clusters,with SDG 6(Clean Water and Sanitation)central to both.Additionally,SDG 8(Decent Work and Economic Growth)and SDG 9(Industry,Innovation,and Infrastructure)act as bridges,while greater synergies exist between SDG 12(Responsible Consumption and Production)and SDG 13(Climate Action).An in-depth view at the indicator-level shows a core-periphery structure,emphasizing indicators like SDG 6.2(Wastewater Treatment Rate)and SDG 6.6(Recycled Water Production Capacity per capita)as pivotal.This study confirms the urban SDG space’s stability and predictiveness,underscoring its value in steering well-aligned policy decisions for sustainable growth.
基金grant Fundamental Fund of National Science Research and Innovation Fund(NSRF)via Burapha University of Thailand(Grant number 52/2024).
文摘Background:People working outdoors in the Map Ta Phut pollution control area of Thailand require comprehen-sive health monitoring.In the past,studies have been done on the health effects of pollutants.However,there are few studies on musculoskeletal disorders(MSDs),and Thailand is struggling to meet the Sustainable Development Goals.Methods:This cross-sectional study examines access to health services and factors affecting MSDs among outdoor pollution workers(OPWs).The sample group includes OPWs,including local fisherman,street vendors,public car drivers,and traffic police.We studied 50 people from each of these groups,for a total of 200 people.Data were analyzed with inferential statistics using Chi-square test,McNemar test,and Univariate logistic regression.Results:The OPWs reported experiencing significantly more total MSDs pain than they did in the past(P<0.05).Factors affecting current MSDs pain,including occupation and working days per week,were significant(P<0.05).The street vendor group and public car driver group had(odds ratio[OR]=2.253,95%confidence interval[CI]:1.101 to 5.019)and(OR=2.681,95%CI:1.191 to 6.032)times higher risks of MSDs pain,respectively.OPWs who work>5 days per week had a(OR=1.464,95%CI:1.093 to 2.704)times higher risk of MSDs pain.52.7%of OPWs with MSDs,pain(n=110)had received an annual health check-up.In the past year,50.9%had minor illnesses and 21.8%had severe illnesses.OPWs receiving free treatment and visiting health service stations for no cost comprised 77.3%and 51.8%,respectively.60.9%used their right to receive treatment with universal health insurance cards.Conclusions:The study indicates that occupational groups with MSDs pain problems should exercise this right,according to the worker protection law.Local health agencies should organize activities or create accessible media to promote preventive medicine services,as many OPWs believe that health services can only be accessed when illness occurs.
文摘Blindness affected 45 million people globally in 2021,and moderate to severe vision loss a further 295 million.[1]The most common causes,cataract and uncorrected refractive error,are generally the easiest to treat,and are among the most cost-effective procedures in all of medicine and international development.[1-2]Thus,vision impairment is both extremely common and,in principle,readily manageable.
基金supported by the National Key Research and Development Program of China(Grant No.2023YFB3907403)the National Natural Science Foundation of China(Grant No.42201499)the Open Research Program of the International Research Center of Big Data for Sustainable Development Goals(Grant No.CBAS2022ORP03).
文摘Sustainable Development Goal 2(SDG 2,zero hunger)highlights that global hunger and food insecurity have worsened since 2015,driven in part by growing imbalance.Addressing the challenge of achieving SDG 2 in the face of rapid global population growth requires sustained attention to global and national cropland changes.Accurately quantifying the correlation between population and cropland area(i.e.,SDG 2.4.1 per capita cropland)and analyzing the trends of global cropland imbalance are essential for a comprehensive understanding of SDG 2.In this study,we utilized a new global 30 m land-cover dynamic dataset(GLC_FCS30D)to analyze cropland dynamics,quantify per capita cropland and its changes across various countries and levels of development.Our results indicate that the global cropland area expanded by 0.944 million km^(2)from 1985 to 2022,with an average expansion rate of 2.42×10^(4)km^(2)/yr.However,the global per capita cropland area decreased from 0.347 ha in 1985 to 0.217 ha in 2022,mainly due to a higher population increase of nearly 65%in the same period.In the context of globalization,cropland expansion and per capita cropland exhibited spatial imbalances globally,particularly in developing countries.Developing countries saw an increase in total cropland area by 7.09%but a significant decrease in per capita cropland area by 37.38%.From a temporal perspective,the global imbalance has been steadily increasing with the Gini index rising from 0.895 in 1985 to 0.909 in 2022.Consequently,this study reveals an increasing imbalance of global per capita cropland across various countries,which threatens the attainment of the targets of SDG 2.
文摘This year marks the 50th anniversary of diplomatic relations between China and Mozambique.To commemorate this milestone,ChinAfrica spoke with Maria Gustava,Mozambique’s ambassador to China,about the state of bilateral relations,China-Africa cooperation,and key developments shaping the global landscape.
基金National Natural Science Foundation of China,No.U21A2022,No.U1901219,No.42071393,No.42101369。
文摘Ecosystem services in urban agglomerations are the environmental conditions under which human survival and development are sustained.Quantitative assessment of ecosystem services and complex interactions can contribute positively to the achievement of the Sustainable Development Goals(SDGs)for urban agglomerations.However,studies on the future contribution of multi-scenario ecosystem services to the SDGS are lacking.We pronovel integrated modeling framework that integrates the CLUES,InVEST,SOM,and GWR approaches to address the complex relationship between ecosystem services over a long“past-present-future”time series.We construct a novel ecosystem service bundle-based approach for measuring urban agglomerations progress towards achieving ecologically relevant sustainable development goals at multiple scales.In the future scenario,the water yield(WY),habitat quality(HQ),and soil conservation(SC)show similar spatial patterns,with comparable spatial grids,while carbon stock(CS)remains predominantly unchanged and the ecological protection scenario(EPS)improves more significantly.The high-synergy regions are mainly distributed in bundle 4,and most of the trade-off regions appear in bundles 1 and 2.Over the last 30 years,all but the water-related SDGs are declining in bundle 1 of the two urban agglomerations,which are 15%higher in the Guangxi Beibu Gulf(GBG)than in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA).From 2020 to 2035,the three scenarios demonstrate that the optimization of the SDGs progresses most effectively under the future ecological protection scenario(EPS).In particular,bundles 3 and 4 are significantly improved.This critical new knowledge can be used in sustainable ecosystem management and decision-making in urban agglomerations.
文摘Geography is a discipline that touches multiple sciences and has been key to bridging numerous fields of knowl edge.This gives geography the advantage of connecting natural(e.g.,biology,ecology,climatology,geomorphol ogy)with social and human(e.g.,education,demography,sociology)sciences.The spatialisation of information from different sciences allows us to understand distribution patterns and connections between different realities.Thus,geographical knowledge is essential for an integrated and consistent understanding of our world.The Sus tainable Development Goals(SDGs)established by the United Nations(UN)in 2015 were essential to unifying the world towards a common goal.To achieve these,17 goals and 169 targets were created,and knowledge from multiple sciences is needed to support them.It is a huge challenge,and different knowledge branches are needed to connect.Geography and geographical knowledge have this capacity and support all 17 goals and 169 targets.Although this is a reality,as it will be explained in this editorial,SDG’s achievement for some is becoming utopic and unrealistic due to our world’s differences.It is time to think about the post-2030 SDGs,in which geography and geographic knowledge will be essential unequivocally.
文摘Achieving Sustainable Development Goals(SDGs)requires place-based solutions that reconcile global aspirations with local realities.Landscapes and regions represent a pivotal scale domain—large enough to capture cross-boundary ecological and socioeconomic processes,yet sufficiently grounded to enable context-sensitive understanding and governance.Landscape sustainability science offers a robust framework for bridging the global-local divide in SDG implementation.Rooted in the long-standing convergence between ecology and geography—tracing back to Humboldt’s unity of nature—landscape sustainability science advances a spatially explicit,systems-oriented approach guided by the principles of strong sustainability.Here we present the landscape sustainability science framework,structured around the core triad of landscape pattern,ecosystem services,and human wellbeing,and operationalized through dual feedback loops and the analysis–adaptation–assessment cycle.Our assessment shows that landscape sustainability science contributes directly to eight SDGs and indirectly to six others,offering actionable strategies for climate resilience,sustainable land management,and inclusive landscape governance.By helping to spatialize,localize,and operationalize global sustainability targets,landscape sustainability science provides a pragmatic pathway to advance the SDGs in diverse socioecological contexts.If global sustainability is to be achieved,we must think and act like a landscape.
文摘The United Nations Sustainable Development Goal(SDG) 2 aims to achieve Zero Hunger by 2030.However,global hunger and food insecurity have continued to rise at an alarming rate(UN 2023).Subtropical regions are home to more than 30% of the world's population,predominantly in developing countries where per capita farmland and food supply are only 40% of those in developed nations(FAO 2018).Meeting the Zero Hunger target amid ongoing population growth in these regions requires a substantial increase in agricultural production while minimizing soil degradation and adverse ecological impacts.This challenge is shared by many countries across South Asia,Africa,and Central and South America.
文摘China Standardization:Can you please briefly introduce ISO,its international standards as well as your scope of work?Rachel Miller Prada:ISO is an independent non-governmental organization dedicated to developing international standards.Currently,ISO has 175 member bodies,representing 175 countries that participate in its standard development work.We have a portfolio of over 24,000 international standards,with around 100 new standards issued or existing ones revised every month.The ultimate goal of our standardization work is to support the achievement of the United Nations Sustainable Development Goals(SDGs).Every standard we develop and every task I undertake in my role contributes to these global objectives.
文摘The 17 Sustainable Development Goals(SDGs)for 2030,adopted by all United Nations member states in 2015,are facing a range of challenges.Factors such as climate change,regional conflicts and economic recession are having a significant impact,particularly on global poverty governance.As a platform for dialogue,exchange and technical cooperation,the 2025 International Seminar on Global Poverty Reduction Partnerships was held in Beijing on 10 December 2025.
基金financially supported by the CASANSO Sustainable Development Research Project(Grant No.CAS-ANSO-SDRP-2024-05)the Research Directorate,Rector’s Office Tribhuvan University,Nepal(TU-NPAR-079/80-ERG-08)。
文摘Rivers are essential for water supply,agriculture,hydropower,and biodiversity,yet they face increasing threats from climate change and pollution globally.The Koshi River Basin,spanning China,Nepal,and India,is a transboundary basin that includes glacier-fed headwaters and densely populated downstream regions.This study investigates the hydrogeochemistry and water quality dynamics of the basin,focusing on seasonal and spatial variations and their implications for drinking and irrigation suitability.A total of 117 water samples from different segments of the basin were analyzed across premonsoon,monsoon,and post-monsoon seasons using in-situ,laboratory tests,and multivariate statistical methods.The results indicated that carbonate and silicate weathering were the dominant sources of solutes in the study region,with Ca^(2+)and HCO_(3)^(-)being the major ionic constituents.Seasonal variations revealed higher ionic concentrations in pre-and postmonsoon periods due to increased mineralization,while monsoonal dilution significantly reduced solute loads.Spatially,the higher hydrogeochemistry index in the upstream and lower values in downstream tributaries indicate intensive weathering in the headwaters but are further diluted by melting water and precipitation downstream.Inversely,higher pollution risks only appeared in downstream areas,where NO_(3)^(-)suggested agricultural runoff and wastewater intrusion.Water quality index<50 classified most river segments as suitable for drinking,while sodium adsorption ratio<1 confirmed irrigation suitability,except in some segments of the downstream zones with higher anthropogenic influence based on major ions.This study also supports Sustainable Development Goal 6(clean water and sanitation),13(climate action),and 15(life on land)by providing critical insights into water quality dynamics and informing sustainable water management strategies applicable to other glacier-fed river basins worldwide.
文摘Rice cultivation,vital to global food security and the United Nations Sustainable Development Goals(SDGs),faces increasing threats from industrial pollution,which contaminates soil and water,endangers human health,and weakens agricultural resilience.Studies indicate that contaminants such as persistent organic pollutants,radioactive elements,dyes,and potentially toxic elements,particularly from mining and industrial activities,significantly degrade soil fertility,impair plant health,and introduce harmful residues into the food chain.This contamination compromises food safety and diminishes agricultural productivity,posing a serious challenge to sustainability.Addressing these impacts requires sustainable industrial practices,advanced technologies,and eco-friendly remediation techniques.Solutions like biochar applications,precision farming,and artificial intelligence(AI)-driven pollution detection provide effective measures for restoring soil health,protecting crop integrity,and ensuring the resilience of rice farming.These approaches align rice cultivation with global sustainability goals by integrating sustainable soil and water management,adaptive crop selection,and AI innovations.Protecting rice cultivation upholds farmer livelihoods and strengthens global commitments to SDGs Zero Hunger and a resilient,safe food supply,underscoring the essential balance between industrial progress and sustainable rice cultivation.
基金support through the“Trans-Disciplinary Research”Grant(No.R/Dev/IoE/TDRProjects/2023-24/61658),which played a crucial role in enabling this research endeavor.
文摘Floodplain wetlands are invaluable ecosystems providing numerous ecological benefits,yet they face a global crisis necessitating sustainable preservation efforts.This study examines the depletion of floodplain wetlands within the Hastinapur Wildlife Sanctuary(HWLS)in Uttar Pradesh.Encroachment activities such as grazing,agriculture,and human settlements have fragmented and degraded critical wetland ecosystems.Additionally,irrigation projects,dam construction,and water diversion have disrupted natural water flow and availability.To assess wetland inundation in 2023,five classification techniques were employed:Random Forest(RF),Support Vector Machine(SVM),artificial neural network(ANN),Spectral Information Divergence(SID),and Maximum Likelihood Classifier(MLC).SVM emerged as the most precise method,as determined by kappa coefficient and index-based validation.Consequently,the SVM classifier was used to model wetland inundation areas from 1983 to 2023 and analyze spatiotemporal changes and fragmentation patterns.The findings revealed that the SVM clas-sifier accurately mapped 2023 wetland areas.The modeled time-series data demonstrated a 62.55%and 38.12%reduction in inundated wetland areas over the past 40 years in the pre-and post-monsoon periods,respectively.Fragmentation analysis indicated an 86.27%decrease in large core wetland areas in the pre-monsoon period,signifying severe habitat degradation.This rapid decline in wetlands within protected areas raises concerns about their ecological impacts.By linking wetland loss to global sustainability objectives,this study underscores the global urgency for strengthened wetland protection measures and highlights the need for integrating wetland conservation into broader sustainable development goals.Effective policies and adaptive management strategies are crucial for preserving these ecosystems and their vital services,which are essential for biodiversity,climate regulation,and human well-being.
基金National Natural Science Foundation of China,No.32471745。
文摘Urban agglomerations,representing a high-level organizational form of urbanization,play an increasingly vital role in promoting sustainable development.These regions attract substantial population inflows due to their robust economic foundations and advanced public service facilities.To assess this dynamic,an evaluation index system for urban sustainable development goals(SDGs)was constructed based on the United Nations SDGs framework.Using three representative urban agglomerations of Beijing-Tianjin-Hebei(BTH),Yangtze River Delta(YRD),and Chengdu-Chongqing(CY)in China as case studies,this research explores the realization of SDGs since the construction of the urban agglomerations and its coupling with population changes by combining multifactorial analysis and the coupling coordination degree model.Results reveal that SDG scores in these cities have increased by an average of 25.33%since 2005.Scores in central cities are significantly higher than the average,and the gap between cities is narrowing.However,there are still trade-offs among some of the goals.Additionally,the process of SDGs realization in core cities with large populations is largely coordinated with population growth.The findings provide a reference for urban agglomerations to adopt cross-regional collaborative governance measures to achieve the SDGs.
