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
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
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
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
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
A low-carbon lifestyle presents new opportunities for sustainable urban development.While previous studies have verified the impact of the built environment and socioeconomic status(SES)on low-carbon lifestyles,they h...A low-carbon lifestyle presents new opportunities for sustainable urban development.While previous studies have verified the impact of the built environment and socioeconomic status(SES)on low-carbon lifestyles,they have primarily focused on direct effects.At present,there is still a lack of analysis on the interaction effects on low-carbon lifestyles,and limited attention has been given to the peer effect in low-carbon lifestyles,especially in the context of residential differentiation.Therefore,we take Zhengzhou city as the case area and first calculate the low-carbon lifestyle of 1485 families from three dimensions:low-carbon action(A),low-carbon interest(I)and low-carbon opinion(O).We then analyze the direct and interactive impacts of the built environment and SES on low-carbon lifestyles and explore the peer effect.Our findings indicate that families with higher SES have higher levels of low-carbon interest and low-carbon opinion,but relatively low levels of low-carbon action.This suggests an interest-action bias in the low-carbon lifestyles of high-SES families.POI density,road network density and accessibility positively affect low-carbon lifestyles—that is,residents living in areas with well-developed infrastructure and convenient transportation tend to be green in their daily behavior.The peer effect influences low-carbon action,interest,and opinion by 54.6%,34.9%,and 16%,respectively,indicating that the peer effect is most evident in low-carbon action.That is,the peer effect is more obvious in low-carbon action.In addition,the built environment affects the low-carbon lifestyles of different SES groups.Land-use mix positively increases low-carbon action and low-carbon interest among high-SES groups but reduces low-carbon opinion.Road network density positively affects the low-carbon action of high-SES groups and the low-carbon interest and low-carbon opinion of low-SES groups.This study explores low-carbon lifestyles from a situational perspective,providing a practical basis for policies aimed at accelerating a transition to sustainable living.展开更多
Ensuring the provision of accessible,affordable,and high-quality public services to all individuals aligns with one of the paramount aims of the United Nations’Sustainable Development Goals(SDGs).In the face of esca ...Ensuring the provision of accessible,affordable,and high-quality public services to all individuals aligns with one of the paramount aims of the United Nations’Sustainable Development Goals(SDGs).In the face of esca lating urbanization and a dwindling rural populace in China,reconstructing rural settlements to enhance public service accessibility has become a fundamental strategy for achieving the SDGs in rural areas.However,few stud ies have examined the optimal methods for rural settlement reconstruction that ensure accessible and equitable public services while considering multiple existing facilities and service provisions.This paper focuses on rural settlement reconstruction in the context of the SDGs,employing an inverted MCLP-CC(maximal coverage loca tion problem for complementary coverage)model to identify optimal rural settlements and a rank-based method for their relocation.Conducted in Changyuan,a county-level city in Henan Province,China,this study observed significant enhancements in both accessibility and equity following rural settlement reconstruction by utilizing the MH3SFCA(modified Huff 3-step floating catchment area)and the spatial Lorenz curve method.Remarkably,these improvements were achieved without the addition of new facilities,with the accessibility increasing by 44.21%,4.97%,and 3.11%;Gini coefficients decreasing by 19.53%,1.64%,and 3.18%;Ricci-Schutz coef-ficients decreasing by 21.09%,2.09%,and 4.33%for educational,medical,and cultural and sports facilities,respectively.It indicated that rural settlement reconstruction can bolster the accessibility and equity of public ser-vices by leveraging existing facilities.This paper provides a new framework for stakeholders to better reconstruct rural settlements and promote sustainable development in rural areas in China.展开更多
Flash floods are characterized by their destructive power,rapid onset,and unpredictability,often causing severe damage to both natural environments and socioeconomic systems.Understanding the detailed disaster-causing...Flash floods are characterized by their destructive power,rapid onset,and unpredictability,often causing severe damage to both natural environments and socioeconomic systems.Understanding the detailed disaster-causing mechanisms of flash floods is critical for eff ective disaster risk reduction.However,current studies have not captured the comprehensive circumstance of flash floods that integrates environment,hazard,and exposure from the perspective of disaster systems theory.To address the gap,this study established a systematic framework for comprehensively evaluating flash floods disaster-causing mechanisms in ungauged mountainous micro-watersheds by integrating multi-source data,including remote sensing observations,meteorological station data,unmanned aerial vehicle measurements,and participatory geographic information system data,with hydrological-hydrodynamic and statistical models.The proposed framework consists of four interconnected steps:design storm estimation,flash flood process simulation,critical rainfall calculation,and disaster loss evaluation.Through a case study conducted in Qialegeer Village,Xinjiang,China,we demonstrated the framework's applicability by reconstructing flash flood scenarios,including the 2017 event as well as those of 10 and 20 years return periods.The results demonstrate that our framework robustly and systematically elucidates flash flood disaster process in the region with high reliability.Furthermore,it is adaptable to other ungauged mountainous micro-watersheds.This framework ultimately serves to enhance disaster risk mitigation and build resilience in vulnerable mountainous communities.展开更多
Accelerating the transition from old to new economic drivers(TONED)is fundamental to building a modernized economic system,and the digital economy(DE)has the potential to expedite this process.This study uses panel da...Accelerating the transition from old to new economic drivers(TONED)is fundamental to building a modernized economic system,and the digital economy(DE)has the potential to expedite this process.This study uses panel data that encompassed 273 prefecturelevel cities in China from 2011 to 2020,to empirically examine the effect and underlying mechanisms of the DE on the TONED.The findings indicate that both the DE and TONED exhibit a distinct spatial differentiation,characterized by significantly higher development in the eastern regions compared to the western regions.Furthermore,the robustness test conducted to address the endogeneity problem verifies that DE has a significant positive driving effect on the TONED.In addition,industrial structure upgrading is a significant channel for DE to influence the TONED.Under the constraint of the level of economic development,DE exhibits a non-linear impact on the TONED,and the marginal effect is incremental after passing a specific threshold.Moreover,in the eastern region,non-resource cities,and urban agglomeration areas,DE has a more significant favorable effect on the TONED.The findings provide robust empirical evidence supporting the role of the DE in facilitating the TONED and offer valuable policy insights for developing countries aiming to advance economic transformation.展开更多
The north-south transitional zone in central China is a climatic and ecological sensitive area,and the southern margin of Pinus tabuliformis distribution,yet regional response to climate has not been investigated.Here...The north-south transitional zone in central China is a climatic and ecological sensitive area,and the southern margin of Pinus tabuliformis distribution,yet regional response to climate has not been investigated.Here,we developed different regional chronologies from 14 samplings along an east-west gradient in the Funiu Mountains.Correlation results indicated that regional tree growth was mainly limited by temperature and precipitation in May,especially for YM.Temperature in the south and precipitation in the north were significant limiting effects,except in LCM,where trees were more limited by temperature in the south than precipitation in the north.The limiting effect of temperature in May gradually weakened from east to west,while the effect of precipitation in May was higher in YM(east)and BB(west)than in LCM(middle),and the promoting effect of precipitation in the north was stronger than that in the south.The self-calibrating Palmer Drought Severity Index(scPDSI)had significant positive correlations with tree growth from April to June,with the highest correlation in May.Tree growth increased in the 1970s-80s and then decreased after the 1990s indicated that the growth had degraded under global warming.This result supports the ecological marginal effect theory of growth degeneration of P.tabuliformis in NSTZ under global warming.However,whole regional tree growth also showed stronger recovery and resilience under extreme drought,the resilience basically restored to the pre-disturbance level after three years,which is obviously contradictory with tree growth trend and needs to be further studied.展开更多
The agro-pastoral ecotone in northern China (APENC) is an ecologically fragile region with a variable climate and unbalanced socioeconomic development.Identifying the spatial range and transitional dynamics of the APE...The agro-pastoral ecotone in northern China (APENC) is an ecologically fragile region with a variable climate and unbalanced socioeconomic development.Identifying the spatial range and transitional dynamics of the APENC is crucial for understanding the delicate balance between regional ecology,the economy,and society.The human-Earth system provides a comprehensive research framework in which human activities and the natural environment are viewed as interdependent and dynamically interactive.Guided by the principles of human-Earth system science,in this study,the boundaries of the APENC are identified by integrating core parameters,including water,land,climate,ecology,and human factors.Raster-based spatial data analysis is employed to examine the spatial and temporal evolution of the APENC from 1990 to 2020.The APENC extends from northeast to southwest along the central axis of northern China,displaying trends of contraction and fragmentation over time,with its centre of gravity shifting closer to the Hu Huanyong Line.The peripheral areas exhibit heightened sensitivity to environmental and ecological changes,highlighting the region’s vulnerability to external pressures.In this study,management strategies grounded in sustainable development principles are proposed,a framework for integrating ecological changes with socioeconomic strategies is established,and actionable guidance for policymakers to promote sustainable development in this fragile and dynamic region is provided.展开更多
Since 2000,China's investment in Africa has grown rapidly,following a steady upward trajectory.However,this influx of Chinese capital has sparked both economic and political controversies.By integrating multi-sour...Since 2000,China's investment in Africa has grown rapidly,following a steady upward trajectory.However,this influx of Chinese capital has sparked both economic and political controversies.By integrating multi-source data—from micro-level individual projects to national statistics—this study examines the impact of Chinese investment on African economic development between 2000 and 2022.The results reveal a significant positive correlation between Chinese investment and economic growth across different scales,with investment-intensive regions achieving stronger economic outcomes.The DID analysis indicates that the Belt and Road Initiative has contributed positively to Africa's economic development.Both static and dynamic panel models confirm that Chinese investment significantly stimulates growth,exhibiting notable lag effects.Furthermore,β-convergence models demonstrate that Chinese investment fosters economic convergence among African countries.Regarding regional inequality,the findings suggest that Chinese investment helps to narrow disparities across Africa,promoting a more balanced economic landscape.Overall,this research underscores the constructive role of China's investment in fostering economic growth and reducing inequality within the African context.展开更多
The world has experienced a rapid expansion of human settlements in both urban and rural areas in recent decades,yet the unequal impacts of this construction on global food security remain unclear.In this study,we del...The world has experienced a rapid expansion of human settlements in both urban and rural areas in recent decades,yet the unequal impacts of this construction on global food security remain unclear.In this study,we delineated the global-scale expansion of urban–rural settlements at a fine resolution from1985 to 2020 and quantified their uneven impacts on food security,focusing on the relationships between settlement types,cropland categories,and disparities in crop production.Our results showed that despite dramatic urbanization,rural settlements still constituted the majority of human settlement areas in 2020.Globally,cropland loss due to the expansion of rural settlements was 1.2 times greater than that caused by urbanization,while the associated yield loss was 1.5 times higher.Notably,urban–rural settlement expansion in Asia accounted for 61%of cropland loss and 64%of yield loss.Moreover,future scenarios predicted that Asia's urban–rural settlement expansion will continue to have the most significant impacts on the loss of cropland and yield throughout the 2030s.These results provide systematic evidence of the unequal impacts of urban–rural settlement construction on global cropland and food security.展开更多
Urbanization has resulted in growing ecological pressures on cities,necessitating assessments of urban ecological quality.Long-term characterization of regional dynamics and drivers is critical for environmental man-a...Urbanization has resulted in growing ecological pressures on cities,necessitating assessments of urban ecological quality.Long-term characterization of regional dynamics and drivers is critical for environmental man-agement.This study proposes an enhanced ecological quality model(MRSEI)incorporating vegetation cover and EVI rather than just NDVI.The MRSEI model was applied to analyse ecological quality in Yulin City during 2000-2018 using Landsat TM/OLI data on Google Earth Engine.Geographic detectors also quantified anthropo-genic and environmental influences on the study area.The results are summarized as follows:(1)MRSEI showed an average correlation coefficient of 0.840 with other indices,demonstrating higher representativeness than indi-vidual components.The principal component analysis indicated a 12.88%increase in explained variance.MRSEI also exhibited significantly improved identification of roads,villages,and unused lands over RSEI,better matching ground conditions,and suitability for regional ecological assessment.(2)During 2000-2020,the average MRSEI in Yulin City was 0.481,peaking at 0.518 in 2018,indicating general ecological improvement over time.Spatially,conditions were better in the southeast than northwest.While 38.81%of the area showed significant improvement,10.15%exhibited significant deterioration,concentrated in western Dingbian and Jingbian counties,highlighting areas requiring enhanced protection.(3)Ecological conditions in Yulin City remained stable over time.High-high clusters were concentrated in eastern counties(Qingjian,Wubao,Jia,Fugu)and central lower-altitude areas near Yokoyama and Zizhou.Low-low clusters predominated in the northern Yuyang desert and high-altitude western Dingbian regions.(4)Enhanced vegetation cover had the greatest influence in improving Yulin’s ecological quality.Rainfall was the most impactful environmental driver,while precipitation and land use change interactions showed the strongest combined effects.In contrast,air quality had minimal explanatory power in Yulin City.(5)The MRSEI model significantly impacts the ecological assessment of urban areas,thereby enhancing urban ecological moni-toring accuracy.Moreover,our analysis demonstrates applicability to watershed regions,facilitating comprehensive regional ecological assessment and monitoring.展开更多
Rising frequency,intensity,and geographic scope of extreme heat profoundly impede global sustainable economic development.However,existing climate econometric models are limited in capturing the spatial processes thro...Rising frequency,intensity,and geographic scope of extreme heat profoundly impede global sustainable economic development.However,existing climate econometric models are limited in capturing the spatial processes through which extreme heat affects the global economy,often resulting in downward-biased estimates of total economic losses.This study develops a novel multi-scale spatio-temporal model that integrates classic multi-level modeling with spatial statistics,explicitly addressing key challenges faced by climate econometrics.A Bayesian Markov chain Monte Carlo simulation algorithm is derived for model implementation.Using this model,we present the first quantitative assessment of the impacts of extreme heat on global economic production and their scale-dependent spatial processes.Our findings reveal that,at the national scale,economic losses caused by input–output economic linkages initially decline slowly,then drop sharply with increasing connectivity,with an inflection point around 0.1.When accounting for spatial propagation effects,a 1℃increase in extreme heat intensity leads to an average loss of 2.54%[0.90%,4.19%]of annual GDP per capita—substantially higher than estimates assuming economic losses are locally confined.Moreover,the economic impacts of extreme heat exhibit significant spatial heterogeneity,with positive marginal effects detected in colder regions and negative effects in warmer regions,with a turning point around 33.7℃.This study offers a new methodology to evaluate the impact of climate change from a multi-scale and spatial perspective.展开更多
The Yellow River Basin spans three geographical steps across eastern,central,and western China and exhibits pronounced regional heterogeneity and sensitivity to extreme heat conditions.This study employed the Carnegie...The Yellow River Basin spans three geographical steps across eastern,central,and western China and exhibits pronounced regional heterogeneity and sensitivity to extreme heat conditions.This study employed the Carnegie-Ames-Stanford Approach(CASA)model to quantify the spatiotemporal patterns of vegetation net primary productivity(NPP)in the basin(2000-2022).A dynamic climate econometric model was employed to evaluate the impact of extreme heat stress on vegetation carbon sequestration and quantify the anthropogenic contributions to heat-induced NPP changes.The results indicated that extreme heat significantly suppressed vegetation carbon sequestration in the Yellow River Basin from 2000 to 2022.Each additional day of extreme heat reduced the NPP by approximately 0.21%,with this inhibitory effect persisting into the following year.The marginal effects of extreme heat exhibited significant heterogeneity,modulated by both the mean annual temperature and temperature variability.Specifically,more pronounced NPP suppression was observed in regions characterized by elevated mean annual temperatures and enhanced temperature variability.Furthermore,the anthropogenic contributions to extreme heat days progressively increased,with a continuously expanding spatial influence.Consequently,anthropogenic extreme heatinduced carbon sequestration losses accelerated after 2008,reaching 1.49×10^(13)g C in 2020(~7.05%of annual sequestration).These findings provide critical evidence for optimizing ecological strategies in the Yellow River Basin and inform global climate change policies.展开更多
The A-level tourist attractions are an important carrier for the development of the tourism industry.As the most fundamental tourism supply,studying their spatial distribution pattern and driving forces is of great si...The A-level tourist attractions are an important carrier for the development of the tourism industry.As the most fundamental tourism supply,studying their spatial distribution pattern and driving forces is of great significance for promoting the process of regional tourism industrialization.This study used the tourism resource abundance index,nearest neighbor distance index,and geographic detector model to study the spatial characteristics and driving forces of A-level tourist attractions in China.The results showed that the A-level tourist attractions in China exhibit significant spatial clustering,but there are significant regional differences.They are mainly distributed on the southeastern side of the Hu Huanyong Line.Overall,the average of tourism resource abundance index is 71.74.The proportion of cities above that average is relatively low,and they form local high-value clustering areas mainly in the Beijing-Tianjin-Hebei urban agglomeration,Yangtze River Delta,and Chengdu-Chongqing regions.The spatial distribution patterns of various types of scenic spots also exhibit agglomeration characteristics,but their agglomeration scales and spatial patterns exhibit obvious regional differences.The spatial distribution pattern of A-level tourist attractions in China is a result of the combined effect of regional socio-economic factors and scenic environmental factors.Among them,the explanatory power of regional socio-economic factors is stronger than that of scenic environmental factors.Among the scenic environmental factors,resource endowment has the strongest explanatory power,and there are significant differences in the dominant factors influencing the distributions of different types of A-level tourist attractions.展开更多
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.
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National Natural Science Foundation of China,No.42171295,No.42401380Outstanding Youth Science Fund of Henan Province,No.242300421144+1 种基金The Postgraduate Cultivating Innovation and Quality Improvement Action Plan of Henan University,No.SYLYC2022013Henan Science and Technology Innovation Talent Project,No.24HASTIT050。
文摘A low-carbon lifestyle presents new opportunities for sustainable urban development.While previous studies have verified the impact of the built environment and socioeconomic status(SES)on low-carbon lifestyles,they have primarily focused on direct effects.At present,there is still a lack of analysis on the interaction effects on low-carbon lifestyles,and limited attention has been given to the peer effect in low-carbon lifestyles,especially in the context of residential differentiation.Therefore,we take Zhengzhou city as the case area and first calculate the low-carbon lifestyle of 1485 families from three dimensions:low-carbon action(A),low-carbon interest(I)and low-carbon opinion(O).We then analyze the direct and interactive impacts of the built environment and SES on low-carbon lifestyles and explore the peer effect.Our findings indicate that families with higher SES have higher levels of low-carbon interest and low-carbon opinion,but relatively low levels of low-carbon action.This suggests an interest-action bias in the low-carbon lifestyles of high-SES families.POI density,road network density and accessibility positively affect low-carbon lifestyles—that is,residents living in areas with well-developed infrastructure and convenient transportation tend to be green in their daily behavior.The peer effect influences low-carbon action,interest,and opinion by 54.6%,34.9%,and 16%,respectively,indicating that the peer effect is most evident in low-carbon action.That is,the peer effect is more obvious in low-carbon action.In addition,the built environment affects the low-carbon lifestyles of different SES groups.Land-use mix positively increases low-carbon action and low-carbon interest among high-SES groups but reduces low-carbon opinion.Road network density positively affects the low-carbon action of high-SES groups and the low-carbon interest and low-carbon opinion of low-SES groups.This study explores low-carbon lifestyles from a situational perspective,providing a practical basis for policies aimed at accelerating a transition to sustainable living.
基金funded by the National Nat-ural Science Foundation of China(Grants No.42371433,U2443214)National Key Project of High-Resolution Earth Observation System of China(Grant No.80Y50G19900122/23)Foundation of Key Laboratory of Soil andWater Conservation on the Loess Plateau ofMinistry ofWater Resources(Grant No.WSCLP202301).
文摘Ensuring the provision of accessible,affordable,and high-quality public services to all individuals aligns with one of the paramount aims of the United Nations’Sustainable Development Goals(SDGs).In the face of esca lating urbanization and a dwindling rural populace in China,reconstructing rural settlements to enhance public service accessibility has become a fundamental strategy for achieving the SDGs in rural areas.However,few stud ies have examined the optimal methods for rural settlement reconstruction that ensure accessible and equitable public services while considering multiple existing facilities and service provisions.This paper focuses on rural settlement reconstruction in the context of the SDGs,employing an inverted MCLP-CC(maximal coverage loca tion problem for complementary coverage)model to identify optimal rural settlements and a rank-based method for their relocation.Conducted in Changyuan,a county-level city in Henan Province,China,this study observed significant enhancements in both accessibility and equity following rural settlement reconstruction by utilizing the MH3SFCA(modified Huff 3-step floating catchment area)and the spatial Lorenz curve method.Remarkably,these improvements were achieved without the addition of new facilities,with the accessibility increasing by 44.21%,4.97%,and 3.11%;Gini coefficients decreasing by 19.53%,1.64%,and 3.18%;Ricci-Schutz coef-ficients decreasing by 21.09%,2.09%,and 4.33%for educational,medical,and cultural and sports facilities,respectively.It indicated that rural settlement reconstruction can bolster the accessibility and equity of public ser-vices by leveraging existing facilities.This paper provides a new framework for stakeholders to better reconstruct rural settlements and promote sustainable development in rural areas in China.
基金funded by the Third Xinjiang Scientific Expedition Program(Grant No.2022xjkk0601)National Natural Science Foundation of China(Grant Nos.42471085,U22B2011)Natural Science Foundation of Hubei Province(2023AFB823)。
文摘Flash floods are characterized by their destructive power,rapid onset,and unpredictability,often causing severe damage to both natural environments and socioeconomic systems.Understanding the detailed disaster-causing mechanisms of flash floods is critical for eff ective disaster risk reduction.However,current studies have not captured the comprehensive circumstance of flash floods that integrates environment,hazard,and exposure from the perspective of disaster systems theory.To address the gap,this study established a systematic framework for comprehensively evaluating flash floods disaster-causing mechanisms in ungauged mountainous micro-watersheds by integrating multi-source data,including remote sensing observations,meteorological station data,unmanned aerial vehicle measurements,and participatory geographic information system data,with hydrological-hydrodynamic and statistical models.The proposed framework consists of four interconnected steps:design storm estimation,flash flood process simulation,critical rainfall calculation,and disaster loss evaluation.Through a case study conducted in Qialegeer Village,Xinjiang,China,we demonstrated the framework's applicability by reconstructing flash flood scenarios,including the 2017 event as well as those of 10 and 20 years return periods.The results demonstrate that our framework robustly and systematically elucidates flash flood disaster process in the region with high reliability.Furthermore,it is adaptable to other ungauged mountainous micro-watersheds.This framework ultimately serves to enhance disaster risk mitigation and build resilience in vulnerable mountainous communities.
基金Under the auspices of National Natural Science Foundation of China(No.42371188)National Social Science Foundation of China(No.20BJL104)+3 种基金Major Bidding Program of Key Research Base of Humanities and Social Sciences of the Ministry of Education(No.22JJD790016)Major Applied Research Program of Philosophy and Social Sciences in Universities of Henan Province(No.2023-YYZD-03)Special Research Project of Think Tanks in Universities of Henan Province(No.2025ZKYJ07)Funding Program for Young Talents in Publicity,Ideology and Culture,Publicity Department of the CPC Central Committee(No.2021QNYC073)。
文摘Accelerating the transition from old to new economic drivers(TONED)is fundamental to building a modernized economic system,and the digital economy(DE)has the potential to expedite this process.This study uses panel data that encompassed 273 prefecturelevel cities in China from 2011 to 2020,to empirically examine the effect and underlying mechanisms of the DE on the TONED.The findings indicate that both the DE and TONED exhibit a distinct spatial differentiation,characterized by significantly higher development in the eastern regions compared to the western regions.Furthermore,the robustness test conducted to address the endogeneity problem verifies that DE has a significant positive driving effect on the TONED.In addition,industrial structure upgrading is a significant channel for DE to influence the TONED.Under the constraint of the level of economic development,DE exhibits a non-linear impact on the TONED,and the marginal effect is incremental after passing a specific threshold.Moreover,in the eastern region,non-resource cities,and urban agglomeration areas,DE has a more significant favorable effect on the TONED.The findings provide robust empirical evidence supporting the role of the DE in facilitating the TONED and offer valuable policy insights for developing countries aiming to advance economic transformation.
基金funded by the National Natural Science Foundation of China(No.42077417,41671042).
文摘The north-south transitional zone in central China is a climatic and ecological sensitive area,and the southern margin of Pinus tabuliformis distribution,yet regional response to climate has not been investigated.Here,we developed different regional chronologies from 14 samplings along an east-west gradient in the Funiu Mountains.Correlation results indicated that regional tree growth was mainly limited by temperature and precipitation in May,especially for YM.Temperature in the south and precipitation in the north were significant limiting effects,except in LCM,where trees were more limited by temperature in the south than precipitation in the north.The limiting effect of temperature in May gradually weakened from east to west,while the effect of precipitation in May was higher in YM(east)and BB(west)than in LCM(middle),and the promoting effect of precipitation in the north was stronger than that in the south.The self-calibrating Palmer Drought Severity Index(scPDSI)had significant positive correlations with tree growth from April to June,with the highest correlation in May.Tree growth increased in the 1970s-80s and then decreased after the 1990s indicated that the growth had degraded under global warming.This result supports the ecological marginal effect theory of growth degeneration of P.tabuliformis in NSTZ under global warming.However,whole regional tree growth also showed stronger recovery and resilience under extreme drought,the resilience basically restored to the pre-disturbance level after three years,which is obviously contradictory with tree growth trend and needs to be further studied.
基金National Natural Science Foundation of China,No.42293271,No.42401321,No.42371210Fundamental Research Funds for the Central Universities,CHD,No.300102354101。
文摘The agro-pastoral ecotone in northern China (APENC) is an ecologically fragile region with a variable climate and unbalanced socioeconomic development.Identifying the spatial range and transitional dynamics of the APENC is crucial for understanding the delicate balance between regional ecology,the economy,and society.The human-Earth system provides a comprehensive research framework in which human activities and the natural environment are viewed as interdependent and dynamically interactive.Guided by the principles of human-Earth system science,in this study,the boundaries of the APENC are identified by integrating core parameters,including water,land,climate,ecology,and human factors.Raster-based spatial data analysis is employed to examine the spatial and temporal evolution of the APENC from 1990 to 2020.The APENC extends from northeast to southwest along the central axis of northern China,displaying trends of contraction and fragmentation over time,with its centre of gravity shifting closer to the Hu Huanyong Line.The peripheral areas exhibit heightened sensitivity to environmental and ecological changes,highlighting the region’s vulnerability to external pressures.In this study,management strategies grounded in sustainable development principles are proposed,a framework for integrating ecological changes with socioeconomic strategies is established,and actionable guidance for policymakers to promote sustainable development in this fragile and dynamic region is provided.
基金National Natural Science Foundation of China,No.42101424,No.42001115。
文摘Since 2000,China's investment in Africa has grown rapidly,following a steady upward trajectory.However,this influx of Chinese capital has sparked both economic and political controversies.By integrating multi-source data—from micro-level individual projects to national statistics—this study examines the impact of Chinese investment on African economic development between 2000 and 2022.The results reveal a significant positive correlation between Chinese investment and economic growth across different scales,with investment-intensive regions achieving stronger economic outcomes.The DID analysis indicates that the Belt and Road Initiative has contributed positively to Africa's economic development.Both static and dynamic panel models confirm that Chinese investment significantly stimulates growth,exhibiting notable lag effects.Furthermore,β-convergence models demonstrate that Chinese investment fosters economic convergence among African countries.Regarding regional inequality,the findings suggest that Chinese investment helps to narrow disparities across Africa,promoting a more balanced economic landscape.Overall,this research underscores the constructive role of China's investment in fostering economic growth and reducing inequality within the African context.
基金supported by the National Natural Science Foundation of China(42293271)。
文摘The world has experienced a rapid expansion of human settlements in both urban and rural areas in recent decades,yet the unequal impacts of this construction on global food security remain unclear.In this study,we delineated the global-scale expansion of urban–rural settlements at a fine resolution from1985 to 2020 and quantified their uneven impacts on food security,focusing on the relationships between settlement types,cropland categories,and disparities in crop production.Our results showed that despite dramatic urbanization,rural settlements still constituted the majority of human settlement areas in 2020.Globally,cropland loss due to the expansion of rural settlements was 1.2 times greater than that caused by urbanization,while the associated yield loss was 1.5 times higher.Notably,urban–rural settlement expansion in Asia accounted for 61%of cropland loss and 64%of yield loss.Moreover,future scenarios predicted that Asia's urban–rural settlement expansion will continue to have the most significant impacts on the loss of cropland and yield throughout the 2030s.These results provide systematic evidence of the unequal impacts of urban–rural settlement construction on global cropland and food security.
基金The High-Resolution Satellite Project of the State Administration of Science,Technology,and Industry for National Defense of the PRC(80Y50G19-9001-22/23)The Major Research Projects of the Ministry of Education(16JJD770019)+1 种基金The Henan Provincial Key R&D and Promotion Special Project(Science and Technology Research)(242102321122)The National Natural Science Foundation of China(U21A2014)。
文摘Urbanization has resulted in growing ecological pressures on cities,necessitating assessments of urban ecological quality.Long-term characterization of regional dynamics and drivers is critical for environmental man-agement.This study proposes an enhanced ecological quality model(MRSEI)incorporating vegetation cover and EVI rather than just NDVI.The MRSEI model was applied to analyse ecological quality in Yulin City during 2000-2018 using Landsat TM/OLI data on Google Earth Engine.Geographic detectors also quantified anthropo-genic and environmental influences on the study area.The results are summarized as follows:(1)MRSEI showed an average correlation coefficient of 0.840 with other indices,demonstrating higher representativeness than indi-vidual components.The principal component analysis indicated a 12.88%increase in explained variance.MRSEI also exhibited significantly improved identification of roads,villages,and unused lands over RSEI,better matching ground conditions,and suitability for regional ecological assessment.(2)During 2000-2020,the average MRSEI in Yulin City was 0.481,peaking at 0.518 in 2018,indicating general ecological improvement over time.Spatially,conditions were better in the southeast than northwest.While 38.81%of the area showed significant improvement,10.15%exhibited significant deterioration,concentrated in western Dingbian and Jingbian counties,highlighting areas requiring enhanced protection.(3)Ecological conditions in Yulin City remained stable over time.High-high clusters were concentrated in eastern counties(Qingjian,Wubao,Jia,Fugu)and central lower-altitude areas near Yokoyama and Zizhou.Low-low clusters predominated in the northern Yuyang desert and high-altitude western Dingbian regions.(4)Enhanced vegetation cover had the greatest influence in improving Yulin’s ecological quality.Rainfall was the most impactful environmental driver,while precipitation and land use change interactions showed the strongest combined effects.In contrast,air quality had minimal explanatory power in Yulin City.(5)The MRSEI model significantly impacts the ecological assessment of urban areas,thereby enhancing urban ecological moni-toring accuracy.Moreover,our analysis demonstrates applicability to watershed regions,facilitating comprehensive regional ecological assessment and monitoring.
基金supported by the National Natural Science Foundation of China(42471467 and 42293270).
文摘Rising frequency,intensity,and geographic scope of extreme heat profoundly impede global sustainable economic development.However,existing climate econometric models are limited in capturing the spatial processes through which extreme heat affects the global economy,often resulting in downward-biased estimates of total economic losses.This study develops a novel multi-scale spatio-temporal model that integrates classic multi-level modeling with spatial statistics,explicitly addressing key challenges faced by climate econometrics.A Bayesian Markov chain Monte Carlo simulation algorithm is derived for model implementation.Using this model,we present the first quantitative assessment of the impacts of extreme heat on global economic production and their scale-dependent spatial processes.Our findings reveal that,at the national scale,economic losses caused by input–output economic linkages initially decline slowly,then drop sharply with increasing connectivity,with an inflection point around 0.1.When accounting for spatial propagation effects,a 1℃increase in extreme heat intensity leads to an average loss of 2.54%[0.90%,4.19%]of annual GDP per capita—substantially higher than estimates assuming economic losses are locally confined.Moreover,the economic impacts of extreme heat exhibit significant spatial heterogeneity,with positive marginal effects detected in colder regions and negative effects in warmer regions,with a turning point around 33.7℃.This study offers a new methodology to evaluate the impact of climate change from a multi-scale and spatial perspective.
基金supported by the National Natural Science Foundation of China(Grant Nos.42471467&42293270)。
文摘The Yellow River Basin spans three geographical steps across eastern,central,and western China and exhibits pronounced regional heterogeneity and sensitivity to extreme heat conditions.This study employed the Carnegie-Ames-Stanford Approach(CASA)model to quantify the spatiotemporal patterns of vegetation net primary productivity(NPP)in the basin(2000-2022).A dynamic climate econometric model was employed to evaluate the impact of extreme heat stress on vegetation carbon sequestration and quantify the anthropogenic contributions to heat-induced NPP changes.The results indicated that extreme heat significantly suppressed vegetation carbon sequestration in the Yellow River Basin from 2000 to 2022.Each additional day of extreme heat reduced the NPP by approximately 0.21%,with this inhibitory effect persisting into the following year.The marginal effects of extreme heat exhibited significant heterogeneity,modulated by both the mean annual temperature and temperature variability.Specifically,more pronounced NPP suppression was observed in regions characterized by elevated mean annual temperatures and enhanced temperature variability.Furthermore,the anthropogenic contributions to extreme heat days progressively increased,with a continuously expanding spatial influence.Consequently,anthropogenic extreme heatinduced carbon sequestration losses accelerated after 2008,reaching 1.49×10^(13)g C in 2020(~7.05%of annual sequestration).These findings provide critical evidence for optimizing ecological strategies in the Yellow River Basin and inform global climate change policies.
基金The National Natural Science Foundation of China(42401207,42371195)The Youth Research Project of Humanities and Social Science of the Ministry of Education(22YJC790152)The Key Scientific Research Project of Colleges and Universities of Henan Province(23A790020)。
文摘The A-level tourist attractions are an important carrier for the development of the tourism industry.As the most fundamental tourism supply,studying their spatial distribution pattern and driving forces is of great significance for promoting the process of regional tourism industrialization.This study used the tourism resource abundance index,nearest neighbor distance index,and geographic detector model to study the spatial characteristics and driving forces of A-level tourist attractions in China.The results showed that the A-level tourist attractions in China exhibit significant spatial clustering,but there are significant regional differences.They are mainly distributed on the southeastern side of the Hu Huanyong Line.Overall,the average of tourism resource abundance index is 71.74.The proportion of cities above that average is relatively low,and they form local high-value clustering areas mainly in the Beijing-Tianjin-Hebei urban agglomeration,Yangtze River Delta,and Chengdu-Chongqing regions.The spatial distribution patterns of various types of scenic spots also exhibit agglomeration characteristics,but their agglomeration scales and spatial patterns exhibit obvious regional differences.The spatial distribution pattern of A-level tourist attractions in China is a result of the combined effect of regional socio-economic factors and scenic environmental factors.Among them,the explanatory power of regional socio-economic factors is stronger than that of scenic environmental factors.Among the scenic environmental factors,resource endowment has the strongest explanatory power,and there are significant differences in the dominant factors influencing the distributions of different types of A-level tourist attractions.
