The Qinghai-Tibet Plateau(QTP)has three main grassland types:alpine meadow,alpine steppe,and alpine desert steppe.In this study,we asked how plant productivity and species diversity vary with altitude,longitude and la...The Qinghai-Tibet Plateau(QTP)has three main grassland types:alpine meadow,alpine steppe,and alpine desert steppe.In this study,we asked how plant productivity and species diversity vary with altitude,longitude and latitude in alpine grasslands of the QTP.We then identified the environmental factors that drive these observed patterns of plant productivity and species diversity.We found that although plant productivity and species diversity varied greatly across large-scale longitudinal and latitudinal gradients,these changes were strongest across the longitudinal gradient.This finding indicates that moisture rather than temperature has the greatest impact on plant productivity and species diversity of the alpine grasslands in the QTP.We also found that besides soil and climate factors,partial pressure of carbon dioxide(pCO_(2))also has significant effects on plant productivity,and barometric pressure and partial pressure of oxygen(pO_(2))also have significant effects on species diversity.Furthermore,the relationship between the biomass of grassland-dominant species and species diversity was affected by the spatial scale at which these factors were studied.Our study provides new insights into the interconnections between plant productivity and species diversity and the major factors that influence alpine grasslands.It also provides a scientific basis for the maintenance of plant diversity and ecosystem functions in hypoxic(low-oxygen)regions.展开更多
Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertain...Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertaining to water resources,soil and vegetation have been collected.To adequately analyze these available data and data to be further collected in future,we present a perspective from complexity theory.The concrete materials covered include a presentation of adaptive multiscale filter,which can readily determine arbitrary trends,maximally reduce noise,and reliably perform fractal and multifractal analysis,and a presentation of scale-dependent Lyapunov exponent(SDLE),which can reliably distinguish deterministic chaos from random processes,determine the error doubling time for prediction,and obtain the defining parameters of the process examined.The adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data,and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal properties.The SDLE is illustrated to determine intermittent chaos from river flow data.展开更多
The great challenges of sustainable development highlight an urgent need to systematically understand the mech-anisms linking humans and nature.Resources and Environmental Sciences are a broad and practical discipline...The great challenges of sustainable development highlight an urgent need to systematically understand the mech-anisms linking humans and nature.Resources and Environmental Sciences are a broad and practical discipline focused on coupled human and natural systems.They aim to study the formation and evolution of resources in the earth system,the drivers of various environmental problems,processes and relationships between resources and the environment,particularly under the combined impacts of natural conditions and human activities.The major resources and environmental problems drive the discipline development;international science programmes guide the direction of the discipline;interdisciplinary and transdisciplinary integration promotes new branches of the discipline;and technological progress results in a research paradigm shift.Facing the critical research re-quirements of strengthening trans-and interdisciplinarity,breaking through the key technology,targeting major environmental and disaster issues,and supporting sustainable development,nine critical scientific issues should be focused on climate change impact and adaptation,petroleum and mineral resources,water cycle and water re-sources,soil and land resources,ecosystems,remote sensing and geographic information science,environmental science and technology,disaster risk,and global and regional sustainable development.Suggestions to enhancing funding systems,improve talent cultivation,develop scientific platforms,and strength international cooperation are provided in this study to support scientific policymaking.The promotion of Resources and Environmental Sci-ences enables a more comprehensive and in-depth understanding of economic development and environmental changes relevant to assure a more sustainable global development.展开更多
Solar radiation modification,a scheme aimed at mitigating rapid global warming triggered by anthropogenic greenhouse gas emissions,has been explored through the G1ext experiment under the Geoengineering Model Intercom...Solar radiation modification,a scheme aimed at mitigating rapid global warming triggered by anthropogenic greenhouse gas emissions,has been explored through the G1ext experiment under the Geoengineering Model Intercomparison Project(GeoMIP) framework,utilizing the Chinese Academy of Sciences Earth System Model version 2(CAS-ESM2.0).This paper briefly describes the basic configuration and experimental design of the CAS-ESM2.0 for G1ext,which involves a sudden reduction in solar irradiance to counterbalance the radiative forcing of an abrupt quadrupling of atmospheric CO_(2) concentration,running for 100 years.Preliminary results show that this model can reproduce well the compensatory effect of a uniform decrease in global solar radiation on the radiative forcing resulting from an abrupt quadrupling of CO_(2) concentration.Like other Earth system models,CAS-ESM2.0 reasonably captures variations in radiative adjustments,surface air temperature,and precipitation patterns,both globally and locally,under the G1ext scenario.The generated datasets have been released on the Earth System Grid Federation data server,providing insight into the potential efficacy and impact of solar geoengineering strategies.展开更多
Throughout the contemporary Chinese history of geography,geographical engineering has consistently played a pivotal role as a fundamental scientific activity.It possesses its distinct ontological basis and value orien...Throughout the contemporary Chinese history of geography,geographical engineering has consistently played a pivotal role as a fundamental scientific activity.It possesses its distinct ontological basis and value orientation,rendering it inseparable from being merely a derivative of geographical science or technology.This paper defines geographical engineering and introduces its development history through the lens of Chinese geographical engineering praxises.Furthermore,it is highlighted the logical and functional consistency between the theory of human-earth system and the praxis of geographical engineering.Six modern cases of geographical engineering projects are presented in detail to demonstrate the points and characteristics of different types of modern geographical engineering.Geographical engineering serves as an engine for promoting integrated geography research,and in response to the challenge posed by fragmented geographies,this paper advocates for an urgent revitalization of geographical engineering.The feasibility of revitalizing geographical engineering is guaranteed because it aligns with China’s national strategies.展开更多
Terrestrial ecosystems heavily depend on vegetation,which responds to carbon dioxide(CO_(2))fertilization in hot and humid regions.The subtropical humid karst region is a hot and humid region;whether and to what exten...Terrestrial ecosystems heavily depend on vegetation,which responds to carbon dioxide(CO_(2))fertilization in hot and humid regions.The subtropical humid karst region is a hot and humid region;whether and to what extent CO_(2)fertilization affects vegetation changes in such regions remains unclear.In this study,we investigated the degree to which CO_(2)fertilization influences vegetation changes,along with their spatial and temporal differences,in the subtropical humid karst region using time-lag effect analysis,a random forest model,and multiple regression analysis.Results showed that CO_(2)fertilization plays an important role in vegetation changes,exhibiting clear spatial variations across different geomorphological zones,with its degree of influence ranging mainly between 11%and 25%.The highest contribution of CO_(2)fertilization was observed in the karst basin and non-karstic region,whereas the lowest contribution was found in the karst plateau region.Previous studies have primarily attributed vegetation changes in subtropical humid karst region to ecological engineering,leading to an overestimation of its contribution to these changes.The findings of this study enhance the understanding of the mechanism of vegetation changes in humid karst region and provide theoretical and practical insights for ecological and environmental protection in these regions.展开更多
Soil moisture(SM)is a critical variable in terrestrial ecosystems,especially in arid and semi-arid areas where water sources are limited.Despite its importance,understanding the spatiotemporal variations and influenci...Soil moisture(SM)is a critical variable in terrestrial ecosystems,especially in arid and semi-arid areas where water sources are limited.Despite its importance,understanding the spatiotemporal variations and influencing factors of SM in these areas remains insufficient.This study investigated the spatiotemporal variations and influencing factors of SM in arid and semi-arid areas of China by utilizing the extended triple collation(ETC),Mann-Kendall test,Theil-Sen estimator,ridge regression analysis,and other relevant methods.The following findings were obtained:(1)at the pixel scale,the long-term monthly SM data from the European Space Agency Climate Change Initiative(ESA CCI)exhibited the highest correlation coefficient of 0.794 and the lowest root mean square error(RMSE)of 0.014 m^(3)/m^(3);(2)from 2000 to 2022,the study area experienced significant increase in annual average SM,with a rate of 0.408×10^(-3)m^(3)/(m^(3)•a).Moreover,higher altitudes showed a notable upward trend,with SM increasing rates at 0.210×10^(-3)m^(3)/(m^(3)•a)between 1000 and 2000 m,0.530×10^(-3)m^(3)/(m^(3)•a)between 2000 and 4000 m,and 0.760×10^(-3)m^(3)/(m^(3)•a)at altitudes above 4000 m;(3)land surface temperature(LST),root zone soil moisture(RSM)(10-40 cm depth),and normalized difference vegetation index(NDVI)were identified as the primary factors influencing annual average SM,which accounted for 34.37%,24.16%,and 22.64%relative contributions,respectively;and(4)absolute contribution of LST was more significant in subareas at higher altitudes,with average absolute contributions of 0.800×10^(-3)m^(3)/(m^(3)•a)between 2000 and 4000 m and 0.500×10^(-2) m^(3)/(m^(3)•a)above 4000 m.This study reveals the spatiotemporal variations and main influencing factors of SM in Chinese arid and semi-arid areas,highlighting the more pronounced absolute contribution of LST to SM in high-altitude areas,providing valuable insights for ecological research and water resource management in these areas.展开更多
In the context of rapid urbanization and industrialization,achieving a coordinated relationship between urban construction land expansion(UCLE)and economic growth is essential for sustainable development,especially in...In the context of rapid urbanization and industrialization,achieving a coordinated relationship between urban construction land expansion(UCLE)and economic growth is essential for sustainable development,especially in developing countries.This study examined the spatiotemporal relationship between UCLE and economic growth in the Yellow River Basin(YRB),China from 2000 to 2020.An extended IPAT(Impact=Population×Affluence×Technology)decoupling framework and the geographical detector model were employed at a 5-km grid scale.Results show that urban construction land(UCL)expanded slowly before 2005,accelerated between 2005 and 2015,and declined thereafter.Since 2015,UCLE in most parts of the YRB has gradually decoupled from economic growth.The geographical detector analysis revealed that economic growth,along with its interactions with natural,locational,and socioeconomic factors,significantly influenced UCLE.Notably,location factors have gained importance since 2015,reducing the role of economic growth as the primary driver of UCLE in the YRB’s lower reaches.Nonetheless,economic growth continues to significantly influence the upper and middle reaches.These findings highlight the need for more precise and differentiated strategies for land utilization and economic growth,tailored to finer spatial scales,to better integrate human-land systems and promote high-quality regional development.展开更多
Comprehensively revealing the intensity of drought propagation from meteorological to hydrological drought is crucial for effective drought monitoring and management.However,existing assessments often fail to integrat...Comprehensively revealing the intensity of drought propagation from meteorological to hydrological drought is crucial for effective drought monitoring and management.However,existing assessments often fail to integrate multiple drought characteristics,resulting in incomplete evaluations.To address this limitation,this study introduced the drought comprehensive propagation intensity(DCPI)index,a systematic tool that quantifies propagation intensity and incorporates five drought characteristic indicators(drought frequency,total duration,maximum duration,coverage,and degree)to assess the comprehensive drought intensity in the upper Shiyang River Basin,China from 1961 to 2023.The results indicated that pre-1980s drought propagation was relatively weak(DCPI<0.964),reflecting stable hydrological homeostasis.After the 1980s,the intensity significantly increased,peaking at 5.530(rather strong drought)in the 2000s due to human-induced alterations in surface runoff and ecological changes.Spatially,the western tributaries(e.g.,the Xida River Watershed)presented stronger hydrological drought intensity,whereas the eastern tributaries(e.g.,the Huangyang,Gulang,and Dajing river watersheds)presented higher meteorological drought intensity.The DCPI values decreased from west to east,with near peer-to-peer propagation observed in the Dongda,Huangyang,and Jinta river watersheds,suggesting minimal human interference.A nonlinear relationship between meteorological and hydrological droughts was identified,with severe drought frequency and duration emerging as critical drivers of propagation intensity.Notably,trends of meteorological humidification coexist with hydrological aridification,highlighting systemic challenges for water resource management.The DCPI framework enhances the understanding of drought mechanisms by enabling a structured evaluation of drought impacts,which is essential for developing effective water resource strategies and ecological restoration efforts in arid areas.This study underscores the importance of integrating multi-dimensional drought characteristics to improve prediction accuracy and inform policy decisions.展开更多
As urbanization accelerates,rural regions in China are experiencing transformative changes.This study examines thetransformation mechanism of modern agricultural villages in the loess hilly and gully regions,using Zha...As urbanization accelerates,rural regions in China are experiencing transformative changes.This study examines thetransformation mechanism of modern agricultural villages in the loess hilly and gully regions,using ZhaojiawaVillage in ShannxiProvince of China as a case study.In this study,we explored the village’s evolution amid China’s rural revitalization efforts,highlighting the transition from a traditional agricultural village to a modern agricultural village in the context of rapid urbanization.This study employed actor-network theory(ANT)to investigate the complex interactions among diverse actors that drive rural transformation.ANT interlinks spatial relationships with intricate social networks.We utilized Google Earth remote sensing images in2015 and 2021 and interview data to construct ANT.Three key dimensions of rural transformationare identified:economic structure transformation,social relationship reorganization,and spatial layout reconstruction.The transformation mechanism in ZhaojiawaVillage is underpinned by a network of diverse actors,both human and non-human,aligned around two pivotal stages of agricultural village development(i.e.,construction stage and development stage).In the initial construction stage,the Suide County government led a complex actor network to enhance rural living and production spaces.In the development stage,the village committee emerged as a central actor,with increased participation from villagers and external enterprises,facilitating the creation of a multifunctional space.The evolving goals and roles of these key actors contributed to the reconfiguration of the actor network,promoting rural transformation.These insights are applicable to other ecologically vulnerable and economically challenged rural areasin the loess hilly and gully regions,suggesting that collaboration amongstakeholders can effectively facilitate the transition to specialized and integrated industries,thereby fostering rural revitalization.展开更多
China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing...China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing nature reserves,have been broadly implemented to protect them.However,the effectiveness of in-situ conser-vation efforts for NUVPs in China remains uncertain.Highlighting the importance of multi-family and multi-use plants,this research identified the spatial distribution pattern and diversity hotspots of NUVPs,evaluated the in-situ conservation effectiveness and provided the future conservation priority scheme.The results revealed that the spatial concentration of NUVPs is predominantly in the southwestern lowlands of China(<3,000 m),peaking around 109°E and 25°N.Importantly,diversity hotspots exhibited a significant spatial mismatch(over 80%)with the National Nature Reserve(NNR)network.Only about 17.7%and 13.3%of these hotspots are protected by NNR initiatives for endemic and nonendemic species,respectively.Additionally,the proposed Plants Conserva-tion Effectiveness Index(PCEI)proved more representative in addressing the two main crises faced by the studied species-species loss and human pressure,and found a decline in conservation effectiveness as the number of uses increased.Finally,future conservation priorities based on the PCEI highlight the Nanling Mountains,Heng-duan Mountains,Jiuwandashan,and Qilian Mountains as highly prioritized regions requiring focused efforts to address the impacts of climate change.Conversely,in sparsely distributed regions experiencing increasing human pressure,it is imperative to mitigate the expanding human footprint.展开更多
Soil erosion(SE)is a critical form of land degradation that significantly threatens the health of terrestrial ecosystems worldwide.The Qinba Mountains represent a vital geo-ecological transition zone in China.Therefor...Soil erosion(SE)is a critical form of land degradation that significantly threatens the health of terrestrial ecosystems worldwide.The Qinba Mountains represent a vital geo-ecological transition zone in China.Therefore,analyzing the dynamics of SE in relation to climate changes and land use/cover(LULC)change is essential for guiding ecological conservation efforts in this region.The soil erosion intensity(SEI)from 2001 to 2020 was estimated using the Revised Universal Soil Loss Equation(RUSLE).For the period of 2021–2040,SEI projections were made based on CMIP6 data,utilizing the Statistical Downscaling Model alongside the CA-Markov model.Variations in SEI under four distinct shared socio-economic pathways were compared.Additionally,statistical methods were employed to evaluate the long-term impacts of climate and LULC change on SE.Findings indicate that between 2021and 2040,both precipitation and rainfall erosivity are expected to increase by approximately 8%–12%and 3%–14%,respectively.Based on differing socio-economic pathways,the soil erosion rate(SER)is predicted to rise by 12%–32%,with SSP2-4.5 anticipated to result in the highest SER.An analysis of contributing factors revealed that precipitation intensity and total precipitation are likely to escalate SE,while elevated temperatures may mitigate it.Among all types of LULC,barren land is particularly susceptible to erosion and remains a priority for conservation.The generated SEI maps will aid in promoting sustainable land use and provide crucial support for mitigating ecological risks from climate change.展开更多
Wetlands offer important ecological functions and values.Wetland functional zoning provides a reference and basis for sustainable fulfilment and management.In this study,two coastal urban agglomerations in South China...Wetlands offer important ecological functions and values.Wetland functional zoning provides a reference and basis for sustainable fulfilment and management.In this study,two coastal urban agglomerations in South China were taken as study areas,namely,the Guangxi Beibu Gulf(GBG)and Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Based on multisource information data,a wetland functional zoning system was constructed with the four levels of zoning concept,zoning principle,zoning basis,and zoning scheme.The functional zoning and dynamic analysis of wetlands from 1990 to 2020 were carried out from multiple perspectives of wetland ecological functions,wetland management and conservation functions.The results showed that:1)in terms of wetland ecological functions,the two coastal urban agglomerations were dominated by hydrological regulation and purification of environmental functional areas.The coastal region was largely characterized by the main functional areas of climate regulation and biodiversity maintenance.2)Regarding wetland management and conservation functions,two coastal urban agglomerations exhibited similar trends in terms of the sizes of their conservation and buffer zones from 1990 to 2020.Prevention and control zones were mainly located in core cities in a concentrated manner.Conservation zones largely comprised mountainous woodlands and important wetlands.3)The two coastal urban agglomerations could be divided into 21 wetland functional zones.The central river area has remained the main prevention and control zone for many years.Regarding conservation zones,ecological protection and restoration should be the main focus.Regarding buffer zones,the construction of wetlands and surrounding complex systems should be strengthened or enhanced.Regarding prevention and control zones,activities that do not affect wetland functions should be allowed,provided that they comply with existing laws and regulations.This study could provide technical support and practical application guidance for wetland regulation and management.展开更多
Agriculture holds a pivotal position in the economic fabric of every nation,yet concerns about agricultural carbon emission intensity(ACI)have become a major hurdle to achieving global economic sustainability.Focusing...Agriculture holds a pivotal position in the economic fabric of every nation,yet concerns about agricultural carbon emission intensity(ACI)have become a major hurdle to achieving global economic sustainability.Focusing on 31 provincial-level regions in China,this study uses the Exploratory Spatio-temporal Data Analysis(ESTDA)and Panel Quantile Regression(PQR)model to analyze the spatio-temporal interaction characteristics and influencing factors of ACI in China from 2004 to 2023.The findings are as follows:(1)ACI showed an overall downward trend,and the spatial distribution pattern was characterized by“high in the western region and low along the southeastern coast”.Although the overall disparity tended to converge,some high-carbon-intensity regions exhibited extreme trends.ACI displayed clear spatial directionality,with the spatial center shifting steadily toward the northeast.(2)Regions in the northwest,northeast,and central-south parts exhibited strong local spatial structural dynamics,and the local spatial dependence of ACI in each region showed a nonlinear trend.Generally speaking,the spatial association pattern demonstrated a certain degree of inertia in spatial transfer,reflecting strong path dependence or spatial lock-in characteristics.(3)Optimization of industrial structure and improvement in agricultural mechanization will increase ACI,while economic development can effectively reduce it.The impact of urbanization on ACI exhibits a nonlinear pattern.The coordinated development of economic growth and urbanization significantly reduces ACI,with a stronger emission reduction observed in regions with low ACI.The optimization of industrial structure,when combined with urbanization and environmental regulation,contributes to significant emission reductions particularly in high-ACI areas.Similarly,the synergy between agricultural mechanization and urbanization effectively lowers emissions in low-ACI regions,though this effect diminishes in areas with higher ACI.展开更多
Since the implementation of the reform and opening-up policy,China has undergone a period of rapid development.However,this urban expansion has been accompanied by significant ecological challenges.Therefore,understan...Since the implementation of the reform and opening-up policy,China has undergone a period of rapid development.However,this urban expansion has been accompanied by significant ecological challenges.Therefore,understanding the relationship between urban expansion and ecological sustainability is crucial for future urban planning.This study analyzes land use data to investigate the spatiotemporal dynamics of urban agglomeration expansion from 2000 to 2020.Using MODIS satellite data,this study constructs a Remote Sensing Ecological Index(RSEI)model to assess ecological quality changes over the past two decades.Additionally,an improved coupling coordination model is applied to examine the interaction between urban expansion and ecological quality and to evaluate the spatiotemporal trends of their coordination.The results indicate that:①From 2000 to 2020,urban expansion in the Henan section of the Yellow River Basin followed a pattern of“growth-growthdecline”.Pattern recognition analysis indicated that both urban agglomerations and individual cities primarily expanded through edge extension and infill development,while enclave-style expansion occurred in only a small portion of the region.②Between 2000 and 2020,the ecological quality of urban agglomerations in the Henan section of the Yellow River Basin showed a slight improvement.RSEI values ranged from 0.4 to 0.7,indicating moderate ecological quality.Ecological quality exhibited a spatial pattern of being higher in the southwest and lower in the northeast.Significant declines in ecological quality were primarily concentrated in urban built-up areas,forming a patch-like distribution.Conversely,notable improvements in ecological quality occurred mainly in the mountainous regions of the southwest and north.③Between 2000 and 2020,the coupling coordination level of urban agglomerations showed an increasing trend.Coupling coordination values ranged from 0.248 to 0.734.Most cities were near an imbalance between urban expansion and ecological quality,while Zhengzhou was the only city to consistently maintain coordinated development over two decades.Spatially,highly imbalanced areas were mainly concentrated in the western and southern Henan sections,particularly in Sanmenxia and Luoyang.Conversely,areas with high coupling coordination were centered around Zhengzhou,showing a radial expansion pattern in recent years.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
Uncovering the evolution process of rural revitalization level(RRL)in China and elucidating the complex driving mechanism hold significant implications for implementing rural revitalization strategy and advancing rura...Uncovering the evolution process of rural revitalization level(RRL)in China and elucidating the complex driving mechanism hold significant implications for implementing rural revitalization strategy and advancing rural modernization.This study analyzes the spatio-temporal evolution of China's RRL from 2002 to 2022 and reveals its complex driving mechanism.The results show that China's RRL steadily increased from 0.1083 to 0.4463,and the provincial RRL exhibited the characteristic of decreasing successively in the eastern region,the central region,and the western region.The overall differences of RRL are shrinking,and intra-group differences contribute almost 1/3 of the overall variation,more than the contribution of inter-group differences.Although the influencing factors show nonlinear characteristics,on the whole,economic level and human capital exhibit positive effects,while relief degree,urbanization,industrialization,and opening degree exhibit negative effects.Farmland resources and investment intensity exhibit the characteristics of positive effect and negative effect equilibrium.At the regional scale,influencing factors exhibit significant spatio-temporal heterogeneity.In the future,to achieve comprehensive rural revitalization,it is vital to implement systemic policy measures,such as enhancing industrial competitiveness,supplementing rural talents,and optimizing the relations between urban and rural areas as well as between industry and agriculture.展开更多
Climate change brings new challenges to the sustainable development of agriculture in the new era.Accurately grasping the patterns of climate change impacts on agricultural systems is crucial for ensuring agricultural...Climate change brings new challenges to the sustainable development of agriculture in the new era.Accurately grasping the patterns of climate change impacts on agricultural systems is crucial for ensuring agricultural sustainability and food security.Taking the Loess Plateau(LP),China as an example,this study used a coupling coordination degree model and spatial autocorrelation analysis to portray the spatial and temporal features of crop-cropland coupling relationship from 2000 to 2020 and explored the impact law of climate change through geographically and temporally weighted regression(GTWR).The results were as follows:1)the crop-cropland coupling coordination degree of the LP showed a gradual upward trend from 2000 to 2020,forming a spatial pattern with lower values in the central region and higher values in the surrounding areas.2)There was a positive correlation in the spatial distribution of cropcropland coupling coordination degree in the LP from 2000 to 2020,and the high value-low value(H-L)and low value-low value(L-L)agglomerations continued to expand eastward,while the spatial and temporal evolution of the high value-high value(H-H)and low value-high value(L-H)agglomerations was not obvious.3)The impacts of climatic elements on crop-cropland coupling coordination degree in the LP showed strong heterogeneity in time scales.The inhibitory impacts of summer days(SU)and frost days(FD)accounted for a higher proportion,while the annual average temperature(TEM)had both promoting and inhibiting impacts.The impacts proportion and intensity of extreme heavy precipitation day(R25),continuous drought days(CDD),and annual precipitation(PRE)all experienced significant changes.4)In space,the impacts of SU and FD on the crop-cropland coupling coordination degree varied with latitude and altitude.The adaptability of the LP to R25 gradually strengthened,and the extensions of CDD and increase of PRE led to the increasing inhibition beyond the eastern region of LP,and TEM showed a promoting impact in the Fenwei Plain.As an important grainproducing area in China,the LP should actively deal with the impacts of climate change on the crop-cropland coupling relationship,vigorously safeguard food security,and promote sustainable agricultural development.展开更多
Coastal cities hold a special position in the fields of production,living,and ecological research because of their unique wetland resource advantages.However,with global urbanization and rapid economic development,con...Coastal cities hold a special position in the fields of production,living,and ecological research because of their unique wetland resource advantages.However,with global urbanization and rapid economic development,con-flicts among production,living and ecological land are prevalent in coastal cities in the process of maintaining sustainable wetland resources and further developing the social economy.By establishing an SD-PLUS-CCD cou-pling model,this paper analysed the evolution characteristics and driving mechanism of the production-living-ecological space(PLES)and the effects of wetland protection(WLP)on promoting or inhibiting the coordinated development of the PLES in Dongying city during 2005-2060.The results show that(1)from 2005 to 2020,the increase in urban population resulted in a significant transfer of arable land and a reduction of 914 km2 in pro-duction space(PS);(2)from 2020 to 2060,under the WLP scenario,the conversion of wetland ecological space will reduce the PS and living space(LS)by 193.92 km2 and 107.14 km2,respectively,and increase the ecological space(ES)by 327.52 km2;and(3)wetland protection has an inhibitory effect on the coordinated development of PLES in the study area,and the total proportion of noncoordinated areas of PE and living-ecological space will continue to increase during the simulation period.This paper provides a solid theoretical support for the sustain-able management and protection of wetlands in coastal cities and possible PLES conflict patterns and provides a scientific basis for future territorial spatial planning and policy balance analysis.展开更多
The impact of aerosols on clouds,which remains one of the largest aspects of uncertainty in current weather forecasting and climate change research,can be influenced by various factors,such as the underlying surface t...The impact of aerosols on clouds,which remains one of the largest aspects of uncertainty in current weather forecasting and climate change research,can be influenced by various factors,such as the underlying surface type,cloud type,cloud phase,and aerosol type.To explore the impact of different underlying surfaces on the effect of aerosols on cloud development,this study focused on the Yangtze River Delta(YRD)and its offshore regions(YRD sea)for a comparative analysis based on multi-source satellite data,while also considering the variations in cloud type and cloud phase.The results show lower cloud-top height and depth of single-layer clouds over the ocean than land,and higher liquid cloud in spring over the ocean.Aerosols are found to enhance the cumulus cloud depth through microphysical effects,which is particularly evident over the ocean.Aerosols are also found to decrease the cloud droplet effective radius in the ocean region and during the mature stage of cloud development in the land region,while opposite results are found during the early stage of cloud development in the land region.The quantitative results indicate that the indirect effect is positive(0.05)in the land region at relatively high cloud water path,which is smaller than that in the ocean region(0.11).The findings deepen our understanding of the influence aerosols on cloud development and the mechanisms involved,which could then be applied to improve the ability to simulate cloud-associated weather processes.展开更多
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP),Grant No.2019QZKK0606.
文摘The Qinghai-Tibet Plateau(QTP)has three main grassland types:alpine meadow,alpine steppe,and alpine desert steppe.In this study,we asked how plant productivity and species diversity vary with altitude,longitude and latitude in alpine grasslands of the QTP.We then identified the environmental factors that drive these observed patterns of plant productivity and species diversity.We found that although plant productivity and species diversity varied greatly across large-scale longitudinal and latitudinal gradients,these changes were strongest across the longitudinal gradient.This finding indicates that moisture rather than temperature has the greatest impact on plant productivity and species diversity of the alpine grasslands in the QTP.We also found that besides soil and climate factors,partial pressure of carbon dioxide(pCO_(2))also has significant effects on plant productivity,and barometric pressure and partial pressure of oxygen(pO_(2))also have significant effects on species diversity.Furthermore,the relationship between the biomass of grassland-dominant species and species diversity was affected by the spatial scale at which these factors were studied.Our study provides new insights into the interconnections between plant productivity and species diversity and the major factors that influence alpine grasslands.It also provides a scientific basis for the maintenance of plant diversity and ecosystem functions in hypoxic(low-oxygen)regions.
基金National Natural Science Foundation of China,No.71661002,No.41671532National Key R&D Program of China,No.2017YFB0504102The Fundamental Research Funds for the Central Universities
文摘Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertaining to water resources,soil and vegetation have been collected.To adequately analyze these available data and data to be further collected in future,we present a perspective from complexity theory.The concrete materials covered include a presentation of adaptive multiscale filter,which can readily determine arbitrary trends,maximally reduce noise,and reliably perform fractal and multifractal analysis,and a presentation of scale-dependent Lyapunov exponent(SDLE),which can reliably distinguish deterministic chaos from random processes,determine the error doubling time for prediction,and obtain the defining parameters of the process examined.The adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data,and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal properties.The SDLE is illustrated to determine intermittent chaos from river flow data.
基金This work was supported by the National Natural Science Foundation of China(Grant No.L1924041)Research Project on the Discipline De-velopment Strategy of Academic Divisions of the Chinese Academy of Sciences(Grant No.XK2019DXC006),and the Fundamental Research Funds for the Central Universities in China.
文摘The great challenges of sustainable development highlight an urgent need to systematically understand the mech-anisms linking humans and nature.Resources and Environmental Sciences are a broad and practical discipline focused on coupled human and natural systems.They aim to study the formation and evolution of resources in the earth system,the drivers of various environmental problems,processes and relationships between resources and the environment,particularly under the combined impacts of natural conditions and human activities.The major resources and environmental problems drive the discipline development;international science programmes guide the direction of the discipline;interdisciplinary and transdisciplinary integration promotes new branches of the discipline;and technological progress results in a research paradigm shift.Facing the critical research re-quirements of strengthening trans-and interdisciplinarity,breaking through the key technology,targeting major environmental and disaster issues,and supporting sustainable development,nine critical scientific issues should be focused on climate change impact and adaptation,petroleum and mineral resources,water cycle and water re-sources,soil and land resources,ecosystems,remote sensing and geographic information science,environmental science and technology,disaster risk,and global and regional sustainable development.Suggestions to enhancing funding systems,improve talent cultivation,develop scientific platforms,and strength international cooperation are provided in this study to support scientific policymaking.The promotion of Resources and Environmental Sci-ences enables a more comprehensive and in-depth understanding of economic development and environmental changes relevant to assure a more sustainable global development.
基金supported by the National Natural Science Foundation of China(Grant No.41875126)the National Key Scientific and Technological Infrastructure project “Earth System Numerical Simulation Facility”(EarthLab)。
文摘Solar radiation modification,a scheme aimed at mitigating rapid global warming triggered by anthropogenic greenhouse gas emissions,has been explored through the G1ext experiment under the Geoengineering Model Intercomparison Project(GeoMIP) framework,utilizing the Chinese Academy of Sciences Earth System Model version 2(CAS-ESM2.0).This paper briefly describes the basic configuration and experimental design of the CAS-ESM2.0 for G1ext,which involves a sudden reduction in solar irradiance to counterbalance the radiative forcing of an abrupt quadrupling of atmospheric CO_(2) concentration,running for 100 years.Preliminary results show that this model can reproduce well the compensatory effect of a uniform decrease in global solar radiation on the radiative forcing resulting from an abrupt quadrupling of CO_(2) concentration.Like other Earth system models,CAS-ESM2.0 reasonably captures variations in radiative adjustments,surface air temperature,and precipitation patterns,both globally and locally,under the G1ext scenario.The generated datasets have been released on the Earth System Grid Federation data server,providing insight into the potential efficacy and impact of solar geoengineering strategies.
基金Under the auspices of National Natural Science Foundation of China(No.42293270)。
文摘Throughout the contemporary Chinese history of geography,geographical engineering has consistently played a pivotal role as a fundamental scientific activity.It possesses its distinct ontological basis and value orientation,rendering it inseparable from being merely a derivative of geographical science or technology.This paper defines geographical engineering and introduces its development history through the lens of Chinese geographical engineering praxises.Furthermore,it is highlighted the logical and functional consistency between the theory of human-earth system and the praxis of geographical engineering.Six modern cases of geographical engineering projects are presented in detail to demonstrate the points and characteristics of different types of modern geographical engineering.Geographical engineering serves as an engine for promoting integrated geography research,and in response to the challenge posed by fragmented geographies,this paper advocates for an urgent revitalization of geographical engineering.The feasibility of revitalizing geographical engineering is guaranteed because it aligns with China’s national strategies.
基金National Natural Science Foundation of China,No.41761003The Karst Science Research Center of Guizhou Province,No.U1812401。
文摘Terrestrial ecosystems heavily depend on vegetation,which responds to carbon dioxide(CO_(2))fertilization in hot and humid regions.The subtropical humid karst region is a hot and humid region;whether and to what extent CO_(2)fertilization affects vegetation changes in such regions remains unclear.In this study,we investigated the degree to which CO_(2)fertilization influences vegetation changes,along with their spatial and temporal differences,in the subtropical humid karst region using time-lag effect analysis,a random forest model,and multiple regression analysis.Results showed that CO_(2)fertilization plays an important role in vegetation changes,exhibiting clear spatial variations across different geomorphological zones,with its degree of influence ranging mainly between 11%and 25%.The highest contribution of CO_(2)fertilization was observed in the karst basin and non-karstic region,whereas the lowest contribution was found in the karst plateau region.Previous studies have primarily attributed vegetation changes in subtropical humid karst region to ecological engineering,leading to an overestimation of its contribution to these changes.The findings of this study enhance the understanding of the mechanism of vegetation changes in humid karst region and provide theoretical and practical insights for ecological and environmental protection in these regions.
基金supported by the Natural Science Foundation of Henan Province(252300421290)the National Natural Science Foundation of China(41771438)+1 种基金the Program for Innovative Research Team(in Science and Technology)of Henan University(22IRTSTHN010)the Postgraduate Education Reform and Quality Improvement Project of Henan Province(HNYJS2020JD14).
文摘Soil moisture(SM)is a critical variable in terrestrial ecosystems,especially in arid and semi-arid areas where water sources are limited.Despite its importance,understanding the spatiotemporal variations and influencing factors of SM in these areas remains insufficient.This study investigated the spatiotemporal variations and influencing factors of SM in arid and semi-arid areas of China by utilizing the extended triple collation(ETC),Mann-Kendall test,Theil-Sen estimator,ridge regression analysis,and other relevant methods.The following findings were obtained:(1)at the pixel scale,the long-term monthly SM data from the European Space Agency Climate Change Initiative(ESA CCI)exhibited the highest correlation coefficient of 0.794 and the lowest root mean square error(RMSE)of 0.014 m^(3)/m^(3);(2)from 2000 to 2022,the study area experienced significant increase in annual average SM,with a rate of 0.408×10^(-3)m^(3)/(m^(3)•a).Moreover,higher altitudes showed a notable upward trend,with SM increasing rates at 0.210×10^(-3)m^(3)/(m^(3)•a)between 1000 and 2000 m,0.530×10^(-3)m^(3)/(m^(3)•a)between 2000 and 4000 m,and 0.760×10^(-3)m^(3)/(m^(3)•a)at altitudes above 4000 m;(3)land surface temperature(LST),root zone soil moisture(RSM)(10-40 cm depth),and normalized difference vegetation index(NDVI)were identified as the primary factors influencing annual average SM,which accounted for 34.37%,24.16%,and 22.64%relative contributions,respectively;and(4)absolute contribution of LST was more significant in subareas at higher altitudes,with average absolute contributions of 0.800×10^(-3)m^(3)/(m^(3)•a)between 2000 and 4000 m and 0.500×10^(-2) m^(3)/(m^(3)•a)above 4000 m.This study reveals the spatiotemporal variations and main influencing factors of SM in Chinese arid and semi-arid areas,highlighting the more pronounced absolute contribution of LST to SM in high-altitude areas,providing valuable insights for ecological research and water resource management in these areas.
基金Under the auspices of National Natural Science Foundation of China(No.42293271,42471222)。
文摘In the context of rapid urbanization and industrialization,achieving a coordinated relationship between urban construction land expansion(UCLE)and economic growth is essential for sustainable development,especially in developing countries.This study examined the spatiotemporal relationship between UCLE and economic growth in the Yellow River Basin(YRB),China from 2000 to 2020.An extended IPAT(Impact=Population×Affluence×Technology)decoupling framework and the geographical detector model were employed at a 5-km grid scale.Results show that urban construction land(UCL)expanded slowly before 2005,accelerated between 2005 and 2015,and declined thereafter.Since 2015,UCLE in most parts of the YRB has gradually decoupled from economic growth.The geographical detector analysis revealed that economic growth,along with its interactions with natural,locational,and socioeconomic factors,significantly influenced UCLE.Notably,location factors have gained importance since 2015,reducing the role of economic growth as the primary driver of UCLE in the YRB’s lower reaches.Nonetheless,economic growth continues to significantly influence the upper and middle reaches.These findings highlight the need for more precise and differentiated strategies for land utilization and economic growth,tailored to finer spatial scales,to better integrate human-land systems and promote high-quality regional development.
基金supported by the National Natural Science Foundation of China(42475177,41877521)the National Key Research and Development Program of China(2023YFC3008505,2016YFA0602402).
文摘Comprehensively revealing the intensity of drought propagation from meteorological to hydrological drought is crucial for effective drought monitoring and management.However,existing assessments often fail to integrate multiple drought characteristics,resulting in incomplete evaluations.To address this limitation,this study introduced the drought comprehensive propagation intensity(DCPI)index,a systematic tool that quantifies propagation intensity and incorporates five drought characteristic indicators(drought frequency,total duration,maximum duration,coverage,and degree)to assess the comprehensive drought intensity in the upper Shiyang River Basin,China from 1961 to 2023.The results indicated that pre-1980s drought propagation was relatively weak(DCPI<0.964),reflecting stable hydrological homeostasis.After the 1980s,the intensity significantly increased,peaking at 5.530(rather strong drought)in the 2000s due to human-induced alterations in surface runoff and ecological changes.Spatially,the western tributaries(e.g.,the Xida River Watershed)presented stronger hydrological drought intensity,whereas the eastern tributaries(e.g.,the Huangyang,Gulang,and Dajing river watersheds)presented higher meteorological drought intensity.The DCPI values decreased from west to east,with near peer-to-peer propagation observed in the Dongda,Huangyang,and Jinta river watersheds,suggesting minimal human interference.A nonlinear relationship between meteorological and hydrological droughts was identified,with severe drought frequency and duration emerging as critical drivers of propagation intensity.Notably,trends of meteorological humidification coexist with hydrological aridification,highlighting systemic challenges for water resource management.The DCPI framework enhances the understanding of drought mechanisms by enabling a structured evaluation of drought impacts,which is essential for developing effective water resource strategies and ecological restoration efforts in arid areas.This study underscores the importance of integrating multi-dimensional drought characteristics to improve prediction accuracy and inform policy decisions.
基金supported by the National Natural Science Foundation of China(42293272,42071227).
文摘As urbanization accelerates,rural regions in China are experiencing transformative changes.This study examines thetransformation mechanism of modern agricultural villages in the loess hilly and gully regions,using ZhaojiawaVillage in ShannxiProvince of China as a case study.In this study,we explored the village’s evolution amid China’s rural revitalization efforts,highlighting the transition from a traditional agricultural village to a modern agricultural village in the context of rapid urbanization.This study employed actor-network theory(ANT)to investigate the complex interactions among diverse actors that drive rural transformation.ANT interlinks spatial relationships with intricate social networks.We utilized Google Earth remote sensing images in2015 and 2021 and interview data to construct ANT.Three key dimensions of rural transformationare identified:economic structure transformation,social relationship reorganization,and spatial layout reconstruction.The transformation mechanism in ZhaojiawaVillage is underpinned by a network of diverse actors,both human and non-human,aligned around two pivotal stages of agricultural village development(i.e.,construction stage and development stage).In the initial construction stage,the Suide County government led a complex actor network to enhance rural living and production spaces.In the development stage,the village committee emerged as a central actor,with increased participation from villagers and external enterprises,facilitating the creation of a multifunctional space.The evolving goals and roles of these key actors contributed to the reconfiguration of the actor network,promoting rural transformation.These insights are applicable to other ecologically vulnerable and economically challenged rural areasin the loess hilly and gully regions,suggesting that collaboration amongstakeholders can effectively facilitate the transition to specialized and integrated industries,thereby fostering rural revitalization.
基金supported by the National Natural Science Foundation of China(Grant No.42330205)the Open Fund of State Key Labora-tory of Remote Sensing Science and Beijing Engineering Research Center for Global Land Remote Sensing Products(Grant No.OF202206).
文摘China boasts over 10,000 native useful vascular plants(NUVPs),spanning eight families and serving twelve dis-tinct uses.Given the importance of NUVPs,widely-confirmed in-situ conservation policies,such as establishing nature reserves,have been broadly implemented to protect them.However,the effectiveness of in-situ conser-vation efforts for NUVPs in China remains uncertain.Highlighting the importance of multi-family and multi-use plants,this research identified the spatial distribution pattern and diversity hotspots of NUVPs,evaluated the in-situ conservation effectiveness and provided the future conservation priority scheme.The results revealed that the spatial concentration of NUVPs is predominantly in the southwestern lowlands of China(<3,000 m),peaking around 109°E and 25°N.Importantly,diversity hotspots exhibited a significant spatial mismatch(over 80%)with the National Nature Reserve(NNR)network.Only about 17.7%and 13.3%of these hotspots are protected by NNR initiatives for endemic and nonendemic species,respectively.Additionally,the proposed Plants Conserva-tion Effectiveness Index(PCEI)proved more representative in addressing the two main crises faced by the studied species-species loss and human pressure,and found a decline in conservation effectiveness as the number of uses increased.Finally,future conservation priorities based on the PCEI highlight the Nanling Mountains,Heng-duan Mountains,Jiuwandashan,and Qilian Mountains as highly prioritized regions requiring focused efforts to address the impacts of climate change.Conversely,in sparsely distributed regions experiencing increasing human pressure,it is imperative to mitigate the expanding human footprint.
基金National Natural Science Foundation of China(Youth Program),No.42201110。
文摘Soil erosion(SE)is a critical form of land degradation that significantly threatens the health of terrestrial ecosystems worldwide.The Qinba Mountains represent a vital geo-ecological transition zone in China.Therefore,analyzing the dynamics of SE in relation to climate changes and land use/cover(LULC)change is essential for guiding ecological conservation efforts in this region.The soil erosion intensity(SEI)from 2001 to 2020 was estimated using the Revised Universal Soil Loss Equation(RUSLE).For the period of 2021–2040,SEI projections were made based on CMIP6 data,utilizing the Statistical Downscaling Model alongside the CA-Markov model.Variations in SEI under four distinct shared socio-economic pathways were compared.Additionally,statistical methods were employed to evaluate the long-term impacts of climate and LULC change on SE.Findings indicate that between 2021and 2040,both precipitation and rainfall erosivity are expected to increase by approximately 8%–12%and 3%–14%,respectively.Based on differing socio-economic pathways,the soil erosion rate(SER)is predicted to rise by 12%–32%,with SSP2-4.5 anticipated to result in the highest SER.An analysis of contributing factors revealed that precipitation intensity and total precipitation are likely to escalate SE,while elevated temperatures may mitigate it.Among all types of LULC,barren land is particularly susceptible to erosion and remains a priority for conservation.The generated SEI maps will aid in promoting sustainable land use and provide crucial support for mitigating ecological risks from climate change.
基金Under the auspices of National Natural Science Foundation of China(No.U21A2022,U1901219,42101369)National Key Research and Development Program of China(No.2023YFF0807204)。
文摘Wetlands offer important ecological functions and values.Wetland functional zoning provides a reference and basis for sustainable fulfilment and management.In this study,two coastal urban agglomerations in South China were taken as study areas,namely,the Guangxi Beibu Gulf(GBG)and Guangdong-Hong Kong-Macao Greater Bay Area(GBA).Based on multisource information data,a wetland functional zoning system was constructed with the four levels of zoning concept,zoning principle,zoning basis,and zoning scheme.The functional zoning and dynamic analysis of wetlands from 1990 to 2020 were carried out from multiple perspectives of wetland ecological functions,wetland management and conservation functions.The results showed that:1)in terms of wetland ecological functions,the two coastal urban agglomerations were dominated by hydrological regulation and purification of environmental functional areas.The coastal region was largely characterized by the main functional areas of climate regulation and biodiversity maintenance.2)Regarding wetland management and conservation functions,two coastal urban agglomerations exhibited similar trends in terms of the sizes of their conservation and buffer zones from 1990 to 2020.Prevention and control zones were mainly located in core cities in a concentrated manner.Conservation zones largely comprised mountainous woodlands and important wetlands.3)The two coastal urban agglomerations could be divided into 21 wetland functional zones.The central river area has remained the main prevention and control zone for many years.Regarding conservation zones,ecological protection and restoration should be the main focus.Regarding buffer zones,the construction of wetlands and surrounding complex systems should be strengthened or enhanced.Regarding prevention and control zones,activities that do not affect wetland functions should be allowed,provided that they comply with existing laws and regulations.This study could provide technical support and practical application guidance for wetland regulation and management.
基金National Natural Science Foundation of China,No.42230106,No.42171250State Key Laboratory of Earth Surface Processes and Resource Ecology,No.2022-ZD-04。
文摘Agriculture holds a pivotal position in the economic fabric of every nation,yet concerns about agricultural carbon emission intensity(ACI)have become a major hurdle to achieving global economic sustainability.Focusing on 31 provincial-level regions in China,this study uses the Exploratory Spatio-temporal Data Analysis(ESTDA)and Panel Quantile Regression(PQR)model to analyze the spatio-temporal interaction characteristics and influencing factors of ACI in China from 2004 to 2023.The findings are as follows:(1)ACI showed an overall downward trend,and the spatial distribution pattern was characterized by“high in the western region and low along the southeastern coast”.Although the overall disparity tended to converge,some high-carbon-intensity regions exhibited extreme trends.ACI displayed clear spatial directionality,with the spatial center shifting steadily toward the northeast.(2)Regions in the northwest,northeast,and central-south parts exhibited strong local spatial structural dynamics,and the local spatial dependence of ACI in each region showed a nonlinear trend.Generally speaking,the spatial association pattern demonstrated a certain degree of inertia in spatial transfer,reflecting strong path dependence or spatial lock-in characteristics.(3)Optimization of industrial structure and improvement in agricultural mechanization will increase ACI,while economic development can effectively reduce it.The impact of urbanization on ACI exhibits a nonlinear pattern.The coordinated development of economic growth and urbanization significantly reduces ACI,with a stronger emission reduction observed in regions with low ACI.The optimization of industrial structure,when combined with urbanization and environmental regulation,contributes to significant emission reductions particularly in high-ACI areas.Similarly,the synergy between agricultural mechanization and urbanization effectively lowers emissions in low-ACI regions,though this effect diminishes in areas with higher ACI.
基金State Key Laboratory of Spatial Datum(No.SKLSD2025-ZZ-17)National Natural Science Foundation of China(No.U21A2014)+2 种基金High-Resolution Satellite Project of the State Administration of Science,Technology,and Industry for National Defense of the PRC(No.80Y50G19-9001-22/23)National Science and Technology Platform Construction Project(No.2005DKA32300)Major Research Projects of the Ministry of Education(No.16JJD770019).
文摘Since the implementation of the reform and opening-up policy,China has undergone a period of rapid development.However,this urban expansion has been accompanied by significant ecological challenges.Therefore,understanding the relationship between urban expansion and ecological sustainability is crucial for future urban planning.This study analyzes land use data to investigate the spatiotemporal dynamics of urban agglomeration expansion from 2000 to 2020.Using MODIS satellite data,this study constructs a Remote Sensing Ecological Index(RSEI)model to assess ecological quality changes over the past two decades.Additionally,an improved coupling coordination model is applied to examine the interaction between urban expansion and ecological quality and to evaluate the spatiotemporal trends of their coordination.The results indicate that:①From 2000 to 2020,urban expansion in the Henan section of the Yellow River Basin followed a pattern of“growth-growthdecline”.Pattern recognition analysis indicated that both urban agglomerations and individual cities primarily expanded through edge extension and infill development,while enclave-style expansion occurred in only a small portion of the region.②Between 2000 and 2020,the ecological quality of urban agglomerations in the Henan section of the Yellow River Basin showed a slight improvement.RSEI values ranged from 0.4 to 0.7,indicating moderate ecological quality.Ecological quality exhibited a spatial pattern of being higher in the southwest and lower in the northeast.Significant declines in ecological quality were primarily concentrated in urban built-up areas,forming a patch-like distribution.Conversely,notable improvements in ecological quality occurred mainly in the mountainous regions of the southwest and north.③Between 2000 and 2020,the coupling coordination level of urban agglomerations showed an increasing trend.Coupling coordination values ranged from 0.248 to 0.734.Most cities were near an imbalance between urban expansion and ecological quality,while Zhengzhou was the only city to consistently maintain coordinated development over two decades.Spatially,highly imbalanced areas were mainly concentrated in the western and southern Henan sections,particularly in Sanmenxia and Luoyang.Conversely,areas with high coupling coordination were centered around Zhengzhou,showing a radial expansion pattern in recent years.
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.
基金National Natural Science Foundation of China,No.42293271The Alliance of International Science Organizations,No.ANSO-PA-2023-16。
文摘Uncovering the evolution process of rural revitalization level(RRL)in China and elucidating the complex driving mechanism hold significant implications for implementing rural revitalization strategy and advancing rural modernization.This study analyzes the spatio-temporal evolution of China's RRL from 2002 to 2022 and reveals its complex driving mechanism.The results show that China's RRL steadily increased from 0.1083 to 0.4463,and the provincial RRL exhibited the characteristic of decreasing successively in the eastern region,the central region,and the western region.The overall differences of RRL are shrinking,and intra-group differences contribute almost 1/3 of the overall variation,more than the contribution of inter-group differences.Although the influencing factors show nonlinear characteristics,on the whole,economic level and human capital exhibit positive effects,while relief degree,urbanization,industrialization,and opening degree exhibit negative effects.Farmland resources and investment intensity exhibit the characteristics of positive effect and negative effect equilibrium.At the regional scale,influencing factors exhibit significant spatio-temporal heterogeneity.In the future,to achieve comprehensive rural revitalization,it is vital to implement systemic policy measures,such as enhancing industrial competitiveness,supplementing rural talents,and optimizing the relations between urban and rural areas as well as between industry and agriculture.
基金Under the auspices of Major Program of National Natural Science Foundation of China(No.42293271)Alliance of International Science Organizations(No.ANSO-PA-2023-16)。
文摘Climate change brings new challenges to the sustainable development of agriculture in the new era.Accurately grasping the patterns of climate change impacts on agricultural systems is crucial for ensuring agricultural sustainability and food security.Taking the Loess Plateau(LP),China as an example,this study used a coupling coordination degree model and spatial autocorrelation analysis to portray the spatial and temporal features of crop-cropland coupling relationship from 2000 to 2020 and explored the impact law of climate change through geographically and temporally weighted regression(GTWR).The results were as follows:1)the crop-cropland coupling coordination degree of the LP showed a gradual upward trend from 2000 to 2020,forming a spatial pattern with lower values in the central region and higher values in the surrounding areas.2)There was a positive correlation in the spatial distribution of cropcropland coupling coordination degree in the LP from 2000 to 2020,and the high value-low value(H-L)and low value-low value(L-L)agglomerations continued to expand eastward,while the spatial and temporal evolution of the high value-high value(H-H)and low value-high value(L-H)agglomerations was not obvious.3)The impacts of climatic elements on crop-cropland coupling coordination degree in the LP showed strong heterogeneity in time scales.The inhibitory impacts of summer days(SU)and frost days(FD)accounted for a higher proportion,while the annual average temperature(TEM)had both promoting and inhibiting impacts.The impacts proportion and intensity of extreme heavy precipitation day(R25),continuous drought days(CDD),and annual precipitation(PRE)all experienced significant changes.4)In space,the impacts of SU and FD on the crop-cropland coupling coordination degree varied with latitude and altitude.The adaptability of the LP to R25 gradually strengthened,and the extensions of CDD and increase of PRE led to the increasing inhibition beyond the eastern region of LP,and TEM showed a promoting impact in the Fenwei Plain.As an important grainproducing area in China,the LP should actively deal with the impacts of climate change on the crop-cropland coupling relationship,vigorously safeguard food security,and promote sustainable agricultural development.
基金supported by the Joint Research program for Eco-logical Conservation and High-quality Development of the Yellow River Basin(Grant No.2022-YRUC-01-0103)Watershed Non-point Source Pollution Prevention and Control Technology and Application Demon-stration Project(Grant No.2021YFC3201505)+3 种基金the National Key Re-search and Development Project(Grant No.2016YFC0502106)the Natural Science Foundation of China(Grant No.41476161)the Spe-cial Project of National Natural Science Foundation of China(Grant No.42442035)the Fundamental Research Funds for the Central Uni-versities.
文摘Coastal cities hold a special position in the fields of production,living,and ecological research because of their unique wetland resource advantages.However,with global urbanization and rapid economic development,con-flicts among production,living and ecological land are prevalent in coastal cities in the process of maintaining sustainable wetland resources and further developing the social economy.By establishing an SD-PLUS-CCD cou-pling model,this paper analysed the evolution characteristics and driving mechanism of the production-living-ecological space(PLES)and the effects of wetland protection(WLP)on promoting or inhibiting the coordinated development of the PLES in Dongying city during 2005-2060.The results show that(1)from 2005 to 2020,the increase in urban population resulted in a significant transfer of arable land and a reduction of 914 km2 in pro-duction space(PS);(2)from 2020 to 2060,under the WLP scenario,the conversion of wetland ecological space will reduce the PS and living space(LS)by 193.92 km2 and 107.14 km2,respectively,and increase the ecological space(ES)by 327.52 km2;and(3)wetland protection has an inhibitory effect on the coordinated development of PLES in the study area,and the total proportion of noncoordinated areas of PE and living-ecological space will continue to increase during the simulation period.This paper provides a solid theoretical support for the sustain-able management and protection of wetlands in coastal cities and possible PLES conflict patterns and provides a scientific basis for future territorial spatial planning and policy balance analysis.
基金supported by the National Natural Science Foundation of China(Grant No.42230601).
文摘The impact of aerosols on clouds,which remains one of the largest aspects of uncertainty in current weather forecasting and climate change research,can be influenced by various factors,such as the underlying surface type,cloud type,cloud phase,and aerosol type.To explore the impact of different underlying surfaces on the effect of aerosols on cloud development,this study focused on the Yangtze River Delta(YRD)and its offshore regions(YRD sea)for a comparative analysis based on multi-source satellite data,while also considering the variations in cloud type and cloud phase.The results show lower cloud-top height and depth of single-layer clouds over the ocean than land,and higher liquid cloud in spring over the ocean.Aerosols are found to enhance the cumulus cloud depth through microphysical effects,which is particularly evident over the ocean.Aerosols are also found to decrease the cloud droplet effective radius in the ocean region and during the mature stage of cloud development in the land region,while opposite results are found during the early stage of cloud development in the land region.The quantitative results indicate that the indirect effect is positive(0.05)in the land region at relatively high cloud water path,which is smaller than that in the ocean region(0.11).The findings deepen our understanding of the influence aerosols on cloud development and the mechanisms involved,which could then be applied to improve the ability to simulate cloud-associated weather processes.
