Although there are certain differences in the center of gravity between rural revitalization and human-centered urbanization,their connotations and goals require that both must be promoted in concert.Therefore,based o...Although there are certain differences in the center of gravity between rural revitalization and human-centered urbanization,their connotations and goals require that both must be promoted in concert.Therefore,based on a deep understanding of the connotation of rural revitalization and human-centered urbanization,it is necessary to clarify the goals of the two through the two-way flow of elements between urban and rural areas,the urban-rural linkage of industries,to achieve coordinated promotion of rural revitalization and human-centered urbanization in China.展开更多
Urban forests are essential components of green infrastructure,however,rapid urbanization-induced changes in landscape patterns may affect their ecosystem services through complex ecological processes.A total of 184 s...Urban forests are essential components of green infrastructure,however,rapid urbanization-induced changes in landscape patterns may affect their ecosystem services through complex ecological processes.A total of 184 sample plots in the built-up areas of Nanchang,China,were used as research sites.Urbanization intensities were categorized by the rate of impervious surface area,and forest types were classified into landscape and relaxation forest,attached forest(AF),road forest(RF),and ecological public welfare forest.This study aimed to explore the spatial variations in vegetation characteristics and landscape pattern indices of different forest types under rapid urbanization.The results indicated that the largest patch index(LPI),aggregation index(AI),and percentage of landscape(PLAND)in RF and AF were lower than those in the other forest types(p<0.05).With increasing urbanization intensity,the mean perimeter-area ratio increased by 130.84%,whereas the PLAND,LPI,and AI decreased by 22−86%(p<0.05).Redundancy analysis and variation partitioning suggested that the interpretation rate of landscape pattern indices for variations in vegetation characteristics increased from low to heavy urbanization areas.Especially,the landscape shape index,patch connection index,PLAND,and mean patch size were significantly correlated with vegetation characteristics(e.g.,tree richness,herb coverage,and tree height).In the future,appropriate landscape layout superiority cases should be considered in different urbanization areas and forest types;for instance,increasing the patch connection index will beneficially improve the diversity of trees and herbs in heavy urbanization areas and the RF.This study serves as a reference for maximizing the ecosystem services of urban forests.展开更多
Seasonal cycles are essential components of weather and climatic systems. This study utilized observational data from a meteorological station on an island in the South China Sea from 1961 to 2020, along with ERA5 rea...Seasonal cycles are essential components of weather and climatic systems. This study utilized observational data from a meteorological station on an island in the South China Sea from 1961 to 2020, along with ERA5 reanalysis data, to explore the variations in seasonal cycles and thermal comfort characteristics on the island. The observational data revealed that the onset of summer on the island occurred earlier each year, whereas the onset of autumn was gradually delayed,leading to an increase in the duration of summer. Urbanization had played an important role in elevating local temperatures and extending the duration of summer. The thermal comfort index exhibited a clear upward trend annually, reflecting a shift towards warmer and less comfortable conditions due to urbanization. From 1961 to 2020, the annual average thermal comfort index indicated that 36 years(60%) were characterized by hot discomfort, and 24 years(40%) were within the comfortable range. The number of comfortable days per year on the island exhibited a declining trend. Urbanization markedly influenced the thermal comfort levels on the island, contributing to an annual increase in the number of hot discomfort days. However, the reanalysis data did not reflect the actual observed changes in the comfort characteristics on the island.展开更多
Great Lakes Regions(GLRs)in China often confront landscape fragmentation,wetland degradation,and ecological resilience(ER)losses owing to extensive and intensive urbanization.In GLRs,however,the ER responses to urbani...Great Lakes Regions(GLRs)in China often confront landscape fragmentation,wetland degradation,and ecological resilience(ER)losses owing to extensive and intensive urbanization.In GLRs,however,the ER responses to urbanization remain unclear.This study explored the spatiotemporal evolution of ER and urbanization in five GLRs in China to analyze the ER dynamic patterns along center−lakeside−periphery gradient.The Spatial Durbin Model(SDM)and Panel Threshold Model(PTM)were combined to reveal the spillover and threshold effects of urbanization in five GLRs.The results indicate that the ER in five GLRs declined with a rate of 21%from 2000 to 2020.There was a clear“center-periphery”contraction trend with low ER areas primarily spreading to human activity-concentrated regions such as lakesides,riversides,and road networks.Driven by economic and land urbanization,the average urbanization level increased from 0.06 to 0.13,where lakesides,riversides,and road networks were key areas undergoing expansion.The urbanization showed a noticeable negative spatial spillover effect on ER.Away from central lakes,the negative impacts on ER exhibited a two-phase decrease with the threshold of 81 km.This study contributes to the understanding of human-environment interactions by examining the ecological resilience response process of GLRs under the impact of urbanization.Based on a multidimensional“center−lakeside−periphery”analytical model,this study provides a strategic framework for ecological construction in GLRs in China,promoting sustainable development and adaptive capacity in vulnerable areas.展开更多
As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)through cyber-physical-social syste...As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)through cyber-physical-social systems(CPSSs)with a human-centric focus.These technologies are organized by the system-wide approach of Industry 5.0,in order to empower the manufacturing industry to achieve broader societal goals of job creation,economic growth,and green production.This survey first provides a general framework of smart manufacturing in the context of Industry 5.0.Wherein,the embodied agents,like robots,sensors,and actuators,are the carriers for Ind AI,facilitating the development of the self-learning intelligence in individual entities,the collaborative intelligence in production lines and factories(smart systems),and the swarm intelligence within industrial clusters(systems of smart systems).Through the framework of CPSSs,the key technologies and their possible applications for supporting the single-agent,multi-agent and swarm-agent embodied Ind AI have been reviewed,such as the embodied perception,interaction,scheduling,multi-mode large language models,and collaborative training.Finally,to stimulate future research in this area,the open challenges and opportunities of applying Industry 5.0 to smart manufacturing are identified and discussed.The perspective of Industry 5.0-driven manufacturing industry aims to enhance operational productivity and efficiency by seamlessly integrating the virtual and physical worlds in a human-centered manner,thereby fostering an intelligent,sustainable,and resilient industrial landscape.展开更多
The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to inv...The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to investigate the impacts of urbanization on ESV in China.However,a comprehensive and dynamic framework to reveal the relationship between ESV and urbanization processes is lacking.This study adopted multi-source datasets to portray China’s urbanization process by integrating population,land,and economic urbanization,eval-uated the ESV changes of 10 categories by gross ecosystem product(GEP)methods,and explored ESV changes within different urbanization scales and speeds.The results showed rapid urbanization in the population,land,and economic dimensions in China,with a faster process of economic urbanization.The ESV also exhibited an increasing trend,with higher levels in the southeastern coastal regions and lower levels in the northwestern regions.Urbanization had positive impacts on ESV across various research units,but the ESV exhibited heteroge-neous changes across different urbanization scales,speeds,and their interactive effects.The response of ESV to dynamic urbanization processes was influenced by socio-economic,ecological,and policy factors;it is essential to combine targeted measures with general ecological product value realization methods in each unit to maximize social-economic-ecological benefits.展开更多
Enhancing urban ecological resilience(UER)is a new concept for modern tourism-oriented cities to cope with environmental crises.Revealing the impact of the urbanization on UER is critical to the sustainability of urba...Enhancing urban ecological resilience(UER)is a new concept for modern tourism-oriented cities to cope with environmental crises.Revealing the impact of the urbanization on UER is critical to the sustainability of urban ecosystems.Taking Zhangjiajie,a typical tourism-oriented city,as an example,urbanization level(UL)and UER evaluation system were constructed,and the change trend was analyzed.The Granger Causality Test model was used to discuss the relationship between UL and UER.The results showed that:(1)the urbanization rate of Zhangjiajie significantly increased by 0.531 from 2011 to 2020.Cili county has the highest UL,and Wulingyuan district including a large number of scenic spots has the fastest development trend.(2)The ecological restoration was more sensitive in the face of rising pressure,and showed a synchronized change trend with pressure.The high pressure in 2016 had the most significant impact on resistance.This effect continued into 2019,with an average decline in resistance of 0.802.(3)The UL has significantly promoted the improvement of urban ecological restoration.Specially,tourism urbanization was the most significant in scenic spots,while economic and social urbanization played a major role in other regions for the improvement of ecological restoration.展开更多
Dryland regions face complex interactions between urbanization and ecological changes,where effective coordination is essential for enhancing sustainability and resilience.However,most studies concentrate on the natio...Dryland regions face complex interactions between urbanization and ecological changes,where effective coordination is essential for enhancing sustainability and resilience.However,most studies concentrate on the national or provincial scales,with insufficient research on county-level coordination,limiting the ability to provide targeted polifrom a precise perspective.This study addresses this gap by analyzing 39 counties within the Hohhot-Baotou-Ordos-Yulin Urban Agglomeration(HBOYUA),a typical dryland urban cluster in China.We use daytime and nighttime remote sensing images to track the spatio-temporal evolution of urbanization and ecological conditions from 1992 to 2023.A novel quantitative framework based on an improved coupling coordination degree(CCD)is proposed to assess their coordination relationship.The results reveal that:(1)Urbanization and ecological quality both exhibited fluctuating upward trends,with spatial heterogeneity increasing for urbanization and decreasing for the eco-environment.Regions with better ecological conditions had higher urbanization levels.(2)The overall coordinated level improved from imbalance(0.36)to low-level coordination(0.55),although its spatial distribution remained uneven,with central urban areas showing higher CCD than surrounding counties.(3)Socioeconomic factors exerted greater effects on CCD than natural factors,with GDP and land surface temperature(LST)playing a significant role in interaction analysis.(4)In western arid regions,urbanization did not necessarily harm ecosystems;instead,ecological conditions improved alongside urbanization.This research offers targeted and valuable references for county and city governments in resource allocation and sustainable development.The proposed methodology is also adaptable for urban resilience studies in other regions.展开更多
Urbanization’s impact on pre-monsoon extreme rainfall in the Greater Bay Area(GBA),coastal South China(SC),and its relation to different synoptic systems remains understudied.This research investigates urbanization e...Urbanization’s impact on pre-monsoon extreme rainfall in the Greater Bay Area(GBA),coastal South China(SC),and its relation to different synoptic systems remains understudied.This research investigates urbanization effects on premonsoon rainfall using hourly station observations and Weather Research and Forecasting model with the Single Layer Urban Canopy Model(WRF-SLUCM)simulations.Observations show stronger pre-monsoon extreme rainfall in GBA cities than surrounding rural areas,with the urban heat island(UHI)intensifying the urban rainfall intensity and probability.Extreme cases were classified into frontal and shear-line warm-sector types.Enhanced urban rainfall due to UHI was more pronounced under shear-line and warm-sector systems.Four frontal and four shear-line cases were dynamically downscaled using WRF-SLUCM,and four parallel experiments were conducted:“Nourban”(urban areas replaced by cropland),“AH0”,“AH100”,and“AH300”[normal land use,with the diurnal maximum anthropogenic heat(AH)set to 0,100,and 300 W m^(−2)in SLUCM,respectively].In frontal cases,significantly reduced urban rainfall in AH0 is due to decreased(enhanced)surface evaporation(wind divergence)in cities compared to cropland.Strong northerly winds and cold-air intrusion suppress the UHI in AH0 and AH100 during the rainfall process;enhanced urban rainfall occurs only in AH300.In contrast,for shear-line cases,urban friction and UHI promote local convection and wind convergence,increasing urban rainfall significantly in all urban experiments compared to Nourban.Overall,urbanization’s influence on SC’s premonsoon extreme rainfall is highly sensitive to the type of synoptic systems,necessitating further investigation of urban rainfall in this season.展开更多
In sharp contrast to Western urbanization models, the distinctive feature of China's rapid urbanization lies in the production of space. This is not only a crucial entry point for comprehending China's urbaniz...In sharp contrast to Western urbanization models, the distinctive feature of China's rapid urbanization lies in the production of space. This is not only a crucial entry point for comprehending China's urbanization path but also provides a new orientation for global urban studies.展开更多
A comprehensive understanding of urbanization impacts on landscape dynamics,eco-environmental consequences,and advancements in human habitation is paramount for effectively advancing urbanization-related sustainable d...A comprehensive understanding of urbanization impacts on landscape dynamics,eco-environmental consequences,and advancements in human habitation is paramount for effectively advancing urbanization-related sustainable development goals.This study predicted the urbanization process within the Hohhot-Baotou-Ordos-Ulanqab(HBOU)region and its projected implications for ecology,human settlement,and energy consumption in 2020–2050 using multi-source data and models under Shared Socioeconomic Pathways(SSPs).The results revealed that the HBOU region's urban area grew by 624.66 km~2 between 1990 and 2020.By 2050,it is expected to reach 1793.49±169.30 km~2,mainly expanding into cropland(58.95%)and natural ecological land(31.79%).Urban greening is projected to enhance,with the highest urban green space(UGS)predicted under SSP1(32.42%).Under this scenario,the per capita urban area(PCUA)and per capita urban green space area(PCUGA)are projected to reach 172.66 and 55.63 m~2/person in 2050,respectively.Furthermore,the ecological and energy utilization impacts are anticipated to decrease by 3.99%to 37.52%relative to alternative scenarios.Our projections suggest that limiting urbanization area in the HBOU region to 1500–1600 km~2 would significantly enhance the settlement environment and mitigate ecological and energy consumption effects.These results guide urban strategies balancing ecology,energy use,and habitation in arid regions.展开更多
This study examines the impact of urbanization on the Surface Urban Heat Island(SUHI)effect in the Bangkok Metropolitan Region(BMR)over a 36-year period,utilizing advanced machine learning techniques to assess changes...This study examines the impact of urbanization on the Surface Urban Heat Island(SUHI)effect in the Bangkok Metropolitan Region(BMR)over a 36-year period,utilizing advanced machine learning techniques to assess changes in land use and land cover(LULC).The research addresses three key questions:(1)How have changes in LULC influenced the dynamics of the urban heat island(UHI)effect in the BMR?(2)What roles do green and blue infrastructure play in mitigating urban heat?(3)How effectively can machine learning models classify LULC changes and provide insights to support sustainable urban planning?The findings reveal a strong correlation between urban growth and increased land surface temperatures(LST),with parks and water bodies exhibiting lower LSTs,emphasizing the importance of green and blue infrastructure in mitigating urban heat.The SUHI effect,initially measured at 3℃ from 1988 to 1991,peaked at 4.8℃ between 2012 and 2019 before slightly declining to 4.1℃ in recent years due to urban greening initiatives.However,ongoing urban development continues to diminish green spaces and water bodies,underscoring the urgent need for sustainable urban planning.Economic factors,including the 1997 Asian Financial Crisis and land tax laws introduced in 2019,influenced land use patterns,further exacerbating the SUHI effect.The research highlights the necessity of integrated urban management and sustainable land use policies to enhance climate resilience in rapidly urbanizing regions like the BMR.展开更多
Generative Artificial Intelligence(GenAI)systems have achieved remarkable capabilities across text,code,and image generation;however,their outputs remain prone to errors,hallucinations,and biases.Users often overtrust...Generative Artificial Intelligence(GenAI)systems have achieved remarkable capabilities across text,code,and image generation;however,their outputs remain prone to errors,hallucinations,and biases.Users often overtrust these outputs due to limited transparency,which can lead to misuse and decision errors.This study addresses the challenge of calibrating trust in GenAI through a human centered testing framework enhanced with adaptive explainability.We introduce a methodology that adjusts explanations dynamically according to user expertise,model output confidence,and contextual risk factors,providing guidance that is informative but not overwhelming.The framework was evaluated using outputs from OpenAI’s Generative Pretrained Transformer 4(GPT-4)for text and code generation and Stable Diffusion,a deep generative image model,for image synthesis.The evaluation covered text,code,and visual modalities.A dataset of 5000 GenAI outputs was created and reviewed by a diverse participant group of 360 individuals categorized by expertise level.Results show that adaptive explanations improve error detection rates,reduce the mean squared trust calibration error,and maintain efficient decision making compared with both static and no explanation conditions.Theframework increased error detection by up to 16% across expertise levels,a gain that can provide practical benefits in high stakes fields.For example,in healthcare it may help identify diagnostic errors earlier,and in law it may prevent reliance on flawed evidence in judicial work.These improvements highlight the framework’s potential to make Artificial Intelligence(AI)deployment safer and more accountable.Visual analyses,including trust accuracy plots,reliability diagrams,and misconception maps,show that the adaptive approach reduces overtrust and reveals patterns of misunderstanding across modalities.Statistical results confirmthe robustness of thesefindings across novice,intermediate,and expert users.The study offers insights for designing explanations that balance completeness and simplicity to improve trust calibration and cognitive load.The approach has implications for safe and transparent GenAI deployment and can inform both AI interface design and policy development for responsible AI use.展开更多
At its core,Urbanization and Production of Space provides a comprehensive analysis of the intricate relationship between urbanization and the production of space,particularly within the rapidly evolving context of Chi...At its core,Urbanization and Production of Space provides a comprehensive analysis of the intricate relationship between urbanization and the production of space,particularly within the rapidly evolving context of China's urban transformation.As one of the most populous and dynamically urbanizing nations,China serves as a compelling case for understanding the broader global implications of spatial restructuring.展开更多
This paper first introduces the development process of urban street green landscape in China and the human-centered thinking of the design of urban street green landscape.On the basis of detailed elaboration of the ba...This paper first introduces the development process of urban street green landscape in China and the human-centered thinking of the design of urban street green landscape.On the basis of detailed elaboration of the basic theories of urban street green landscape,it analyzes the existing problems and causes for urban street green landscape.Then,from the perspective of human-centered thought,it comes up with several measures for optimizing the green landscape design of urban streets,to provide much more human-centered experience of urban street green landscape.展开更多
This study examines the spatial and temporal patterns of wetland degradation in Delhi from 1991 to 2021 using remote sensing and GIS techniques.The Automated Water Extraction Index(AWEI)was applied to pre-monsoon Land...This study examines the spatial and temporal patterns of wetland degradation in Delhi from 1991 to 2021 using remote sensing and GIS techniques.The Automated Water Extraction Index(AWEI)was applied to pre-monsoon Landsat imagery to delineate surface water bodies over the past 30 years accurately.Supervised classification was employed to generate land use maps,while census data was utilized to analyze urbanization trends across the region.Classification accuracy was assessed using Google Earth reference data through a confusion matrix,ensuring the reliability of the land cover analysis.Results reveal a significant decline in wetland extent,especially in densely populated and rapidly urbanizing districts such as North West,South,and East Delhi.During this time,the urban population increased from 52.7% to 97.4%,accompanied by a 70.2% expansion of built-up areas,while wetlands contracted from 32.9 km^(2) to 30.2 km^(2).South Delhi experienced the most severe wetland loss,with water body coverage dropping from 0.800% to 0.025%,whereas North East and Central Delhi maintained higher wetland coverage due to the influence of the Yamuna River and targeted conservation efforts.The study highlights the strong linkage between urban growth and wetland decline,which threatens biodiversity,groundwater recharge,and ecological stability.These findings emphasize the urgent need for integrated urban planning and conservation policies to safeguard wetlands,thereby promoting sustainability and water security in the National Capital Region.展开更多
Understanding the complex interactions between urbanization and ecosystem services(ESs)is crucial for optimiz ing planning policies and achieving sustainable urban management.While previous research has largely focuse...Understanding the complex interactions between urbanization and ecosystem services(ESs)is crucial for optimiz ing planning policies and achieving sustainable urban management.While previous research has largely focused on highly urbanized areas,little attention has been given to the phased effect of progressive urbanization on ES networks.This study proposes a conceptual framework that utilizes the network method and space-time replace ment to examine the effect of urbanization on the complex relationships among ESs at different stages,with a particular emphasis on the progressive evolution of the process.We apply this framework to the Horqin area,a typical eco-fragile area in China.Results demonstrate that the connectivity of the ES synergy network exhibits a non-stationary characteristic,initially increasing,then decreasing,and subsequently strengthening.Meanwhile,its modularity shows a rising trend during periods of accelerated urbanization.The performance of the trade off network displays the opposite pattern.Additionally,we observe a gradual replacement of provisioning and regulation services by cultural services in terms of dominance in the synergy network as urbanization advances.By providing guidance for identifying key planning initiatives and implementing ecological protection policies at different stages of development,this study contributes a pathway that can inform development strategies in other regions undergoing progressive urbanization.展开更多
South Florida’s natural forest ecosystems,including pine rocklands and hardwood hammocks,are threatened by land use change and urbanization,invasive species,and climate change.It is critical to understand the respons...South Florida’s natural forest ecosystems,including pine rocklands and hardwood hammocks,are threatened by land use change and urbanization,invasive species,and climate change.It is critical to understand the responses of these ecosystems to anthropogenic disturbances to conserve the remnants of the USA natural subtropical forests.Using dendrochronology,long-term growth patterns were characterized in three dominant native tree species:Bursera simaruba,Swietenia mahagoni,and Pinus elliottii.Core samples were collected from>30 individuals of each species in hardwood hammocks(B.simaruba and S.mahagoni)and pine rocklands(P.elliottii)to examine growth patterns.Relationships between annual tree growth rates and climatic variables were assessed to address three questions:(1)What are the climatic drivers of growth in these three South Florida tree species?(2)Are their growth rates stable or changing through time?and(3)Are tree growth rates affected by urbanization?Standardized growth rates of the three species have changed through time,with small young trees showing accelerated growth through time,whereas larger,older trees showed declining growth rates.S.mahagoni and B.simaruba grew faster in urbanized parks than in more natural parks,whereas P.elliottii grew slower in urban parks.There were positive correlations between tree growth and the current year’s fall precipitation and no discernable effects of the current year’s monthly temperatures on growth rates of any of the species.These results suggest that the foundational tree species of the southern USA endangered pine rocklands and hardwood hammocks may be vulnerable to ongoing changes in precipitation and temperature as well as other environmental effects associated with urbanization.展开更多
Wetlands are unique ecological environments capable of harboring high biodiversity.However,urbanization can degrade,eliminate,or transformthese habitats.Although amphibians utilize habitats created by humans in urban ...Wetlands are unique ecological environments capable of harboring high biodiversity.However,urbanization can degrade,eliminate,or transformthese habitats.Although amphibians utilize habitats created by humans in urban landscapes,few studies have investigated the infuence of thehabitat quality on the life history of anurans.We assessed life history traits such as snout-vent length(SVL),body condition,and reproductiveinvestment in the South American common toad Rhinella arenarum,to determine whether urbanization is harmful or benefcial to this species.We sampled wetlands with different levels of urbanization in Río Cuarto city,Córdoba,Argentina.We recorded males with lower SVL in mediumurbanized wetlands and those with the highest SVL in both low and high urbanization categories,similar to what was found for body conditionswith males with low body conditions inhabiting wetlands with a medium degree of urbanization.In females,lower SVL was recorded in mediumurbanization and highest SVL in high and low urbanization.It is observed that females recorded in highly urbanized wetlands have a very lowbody condition.The reproductive investment parameters were not signifcantly different,but we observed an association between a greaternumber of eggs and clutch size with wetlands of low urbanization.These results show a variability of responses of R.arenarum to urbanization,which could be due to phenotypic plasticity in its life history parameters,allowing it to inhabit urban areas.Continuous monitoring of the speciesin these wetlands is needed to determine if these biological responses are temporary or persistent.展开更多
Urban lakes,situated in cities characterized by dense population and economic activities,are susceptible to eutrophication.This study focuses on the water ecological restoration project of Xuanwu Lake,assessing the ef...Urban lakes,situated in cities characterized by dense population and economic activities,are susceptible to eutrophication.This study focuses on the water ecological restoration project of Xuanwu Lake,assessing the efficacy of ecological management through laboratory analysis of water quality indicators.Furthermore,it delves into a comprehensive life cycle cost structure analysis,ecosystem service value accounting,and economic benefit evaluation.From an economic standpoint,the research examines the cost-effectiveness and external impacts of the clear-water ecosystem restoration project.Findings indicate that TP and TN levels in the treated area have decreased by over 50%,substantially reducing the eutrophication index.The cost-benefit ratio for each unit of treatment stands at 1:3.2(direct benefit).Notably,the restoration has markedly improved water quality and augmented the value of ecosystem services,demonstrating long-term cost sustainability and positive economic externalities.To ensure the sustained success of such restorations,it is imperative to optimize public resource allocation,incorporate market-based incentives,and furnish economic insights for managing urban lakes.展开更多
基金Supported by Key Project of Humanities and Social Sciences of Hubei Provincial Education Department——"Research on the Agricultural Supply-side Structural Reform Based on the Integration of Three Rural Industries"(18D031).
文摘Although there are certain differences in the center of gravity between rural revitalization and human-centered urbanization,their connotations and goals require that both must be promoted in concert.Therefore,based on a deep understanding of the connotation of rural revitalization and human-centered urbanization,it is necessary to clarify the goals of the two through the two-way flow of elements between urban and rural areas,the urban-rural linkage of industries,to achieve coordinated promotion of rural revitalization and human-centered urbanization in China.
基金supported by the National Natural Science Foundation of China(32460380,42007042)State Key Laboratory of Subtropical Silviculture(SKLSSKF2023-06)+2 种基金Natural Science Foundation of Jiangxi Province(20242BAB25389)National Undergraduate Innovation and Entrepreneurship Training Program(202410410029X)Jiangxi Province Graduate Student Innovation Special Fund Project(YC2024-S330).
文摘Urban forests are essential components of green infrastructure,however,rapid urbanization-induced changes in landscape patterns may affect their ecosystem services through complex ecological processes.A total of 184 sample plots in the built-up areas of Nanchang,China,were used as research sites.Urbanization intensities were categorized by the rate of impervious surface area,and forest types were classified into landscape and relaxation forest,attached forest(AF),road forest(RF),and ecological public welfare forest.This study aimed to explore the spatial variations in vegetation characteristics and landscape pattern indices of different forest types under rapid urbanization.The results indicated that the largest patch index(LPI),aggregation index(AI),and percentage of landscape(PLAND)in RF and AF were lower than those in the other forest types(p<0.05).With increasing urbanization intensity,the mean perimeter-area ratio increased by 130.84%,whereas the PLAND,LPI,and AI decreased by 22−86%(p<0.05).Redundancy analysis and variation partitioning suggested that the interpretation rate of landscape pattern indices for variations in vegetation characteristics increased from low to heavy urbanization areas.Especially,the landscape shape index,patch connection index,PLAND,and mean patch size were significantly correlated with vegetation characteristics(e.g.,tree richness,herb coverage,and tree height).In the future,appropriate landscape layout superiority cases should be considered in different urbanization areas and forest types;for instance,increasing the patch connection index will beneficially improve the diversity of trees and herbs in heavy urbanization areas and the RF.This study serves as a reference for maximizing the ecosystem services of urban forests.
基金National Natural Science Foundation of China(U21A6001,42475077)Innovation Platform for Academicians of Hainan Province。
文摘Seasonal cycles are essential components of weather and climatic systems. This study utilized observational data from a meteorological station on an island in the South China Sea from 1961 to 2020, along with ERA5 reanalysis data, to explore the variations in seasonal cycles and thermal comfort characteristics on the island. The observational data revealed that the onset of summer on the island occurred earlier each year, whereas the onset of autumn was gradually delayed,leading to an increase in the duration of summer. Urbanization had played an important role in elevating local temperatures and extending the duration of summer. The thermal comfort index exhibited a clear upward trend annually, reflecting a shift towards warmer and less comfortable conditions due to urbanization. From 1961 to 2020, the annual average thermal comfort index indicated that 36 years(60%) were characterized by hot discomfort, and 24 years(40%) were within the comfortable range. The number of comfortable days per year on the island exhibited a declining trend. Urbanization markedly influenced the thermal comfort levels on the island, contributing to an annual increase in the number of hot discomfort days. However, the reanalysis data did not reflect the actual observed changes in the comfort characteristics on the island.
基金supported by the National Natural Science Foundation of China(Grants No.42301226,42271209 and 42471199)the Fundamental Research Funds for the Central Universities(Grant No.2024CDJXY014)+2 种基金the Natural Science Foundation of Jiangxi Province(Grant No.20242BAB25170)Special Funds for Water Resources in Jiangxi Province(Science and Technology Projects)(Grant No.202425YBKT16)the Young Talent Cultivation and Innovation Fund Project of Nanchang University(Grant No.XX202506030028).
文摘Great Lakes Regions(GLRs)in China often confront landscape fragmentation,wetland degradation,and ecological resilience(ER)losses owing to extensive and intensive urbanization.In GLRs,however,the ER responses to urbanization remain unclear.This study explored the spatiotemporal evolution of ER and urbanization in five GLRs in China to analyze the ER dynamic patterns along center−lakeside−periphery gradient.The Spatial Durbin Model(SDM)and Panel Threshold Model(PTM)were combined to reveal the spillover and threshold effects of urbanization in five GLRs.The results indicate that the ER in five GLRs declined with a rate of 21%from 2000 to 2020.There was a clear“center-periphery”contraction trend with low ER areas primarily spreading to human activity-concentrated regions such as lakesides,riversides,and road networks.Driven by economic and land urbanization,the average urbanization level increased from 0.06 to 0.13,where lakesides,riversides,and road networks were key areas undergoing expansion.The urbanization showed a noticeable negative spatial spillover effect on ER.Away from central lakes,the negative impacts on ER exhibited a two-phase decrease with the threshold of 81 km.This study contributes to the understanding of human-environment interactions by examining the ecological resilience response process of GLRs under the impact of urbanization.Based on a multidimensional“center−lakeside−periphery”analytical model,this study provides a strategic framework for ecological construction in GLRs in China,promoting sustainable development and adaptive capacity in vulnerable areas.
基金supported by the National Key Research and Development Program of China(2021YFB1714300)the National Natural Science Foundation of China(62233005,U2441245,62173141)+3 种基金CNPC Innovation Found(2024DQ02-0507)Shanghai Natural Science(24ZR1416400)Shanghai Baiyu Lan Talent Program Pujiang Project(24PJD020)the Programme of Introducing Talents of Discipline to Universities(the 111 Project)(B17017)
文摘As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)through cyber-physical-social systems(CPSSs)with a human-centric focus.These technologies are organized by the system-wide approach of Industry 5.0,in order to empower the manufacturing industry to achieve broader societal goals of job creation,economic growth,and green production.This survey first provides a general framework of smart manufacturing in the context of Industry 5.0.Wherein,the embodied agents,like robots,sensors,and actuators,are the carriers for Ind AI,facilitating the development of the self-learning intelligence in individual entities,the collaborative intelligence in production lines and factories(smart systems),and the swarm intelligence within industrial clusters(systems of smart systems).Through the framework of CPSSs,the key technologies and their possible applications for supporting the single-agent,multi-agent and swarm-agent embodied Ind AI have been reviewed,such as the embodied perception,interaction,scheduling,multi-mode large language models,and collaborative training.Finally,to stimulate future research in this area,the open challenges and opportunities of applying Industry 5.0 to smart manufacturing are identified and discussed.The perspective of Industry 5.0-driven manufacturing industry aims to enhance operational productivity and efficiency by seamlessly integrating the virtual and physical worlds in a human-centered manner,thereby fostering an intelligent,sustainable,and resilient industrial landscape.
基金supported by the Key Program of the National Natural Science Foundation of China(Grant No.41931293)the National Natural Science Foundation of China(Grant No.42271275).
文摘The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to investigate the impacts of urbanization on ESV in China.However,a comprehensive and dynamic framework to reveal the relationship between ESV and urbanization processes is lacking.This study adopted multi-source datasets to portray China’s urbanization process by integrating population,land,and economic urbanization,eval-uated the ESV changes of 10 categories by gross ecosystem product(GEP)methods,and explored ESV changes within different urbanization scales and speeds.The results showed rapid urbanization in the population,land,and economic dimensions in China,with a faster process of economic urbanization.The ESV also exhibited an increasing trend,with higher levels in the southeastern coastal regions and lower levels in the northwestern regions.Urbanization had positive impacts on ESV across various research units,but the ESV exhibited heteroge-neous changes across different urbanization scales,speeds,and their interactive effects.The response of ESV to dynamic urbanization processes was influenced by socio-economic,ecological,and policy factors;it is essential to combine targeted measures with general ecological product value realization methods in each unit to maximize social-economic-ecological benefits.
基金The National Key Research and Development Project,No.2022YFF1303204。
文摘Enhancing urban ecological resilience(UER)is a new concept for modern tourism-oriented cities to cope with environmental crises.Revealing the impact of the urbanization on UER is critical to the sustainability of urban ecosystems.Taking Zhangjiajie,a typical tourism-oriented city,as an example,urbanization level(UL)and UER evaluation system were constructed,and the change trend was analyzed.The Granger Causality Test model was used to discuss the relationship between UL and UER.The results showed that:(1)the urbanization rate of Zhangjiajie significantly increased by 0.531 from 2011 to 2020.Cili county has the highest UL,and Wulingyuan district including a large number of scenic spots has the fastest development trend.(2)The ecological restoration was more sensitive in the face of rising pressure,and showed a synchronized change trend with pressure.The high pressure in 2016 had the most significant impact on resistance.This effect continued into 2019,with an average decline in resistance of 0.802.(3)The UL has significantly promoted the improvement of urban ecological restoration.Specially,tourism urbanization was the most significant in scenic spots,while economic and social urbanization played a major role in other regions for the improvement of ecological restoration.
基金National Natural Science Foundation of China,No.42330106。
文摘Dryland regions face complex interactions between urbanization and ecological changes,where effective coordination is essential for enhancing sustainability and resilience.However,most studies concentrate on the national or provincial scales,with insufficient research on county-level coordination,limiting the ability to provide targeted polifrom a precise perspective.This study addresses this gap by analyzing 39 counties within the Hohhot-Baotou-Ordos-Yulin Urban Agglomeration(HBOYUA),a typical dryland urban cluster in China.We use daytime and nighttime remote sensing images to track the spatio-temporal evolution of urbanization and ecological conditions from 1992 to 2023.A novel quantitative framework based on an improved coupling coordination degree(CCD)is proposed to assess their coordination relationship.The results reveal that:(1)Urbanization and ecological quality both exhibited fluctuating upward trends,with spatial heterogeneity increasing for urbanization and decreasing for the eco-environment.Regions with better ecological conditions had higher urbanization levels.(2)The overall coordinated level improved from imbalance(0.36)to low-level coordination(0.55),although its spatial distribution remained uneven,with central urban areas showing higher CCD than surrounding counties.(3)Socioeconomic factors exerted greater effects on CCD than natural factors,with GDP and land surface temperature(LST)playing a significant role in interaction analysis.(4)In western arid regions,urbanization did not necessarily harm ecosystems;instead,ecological conditions improved alongside urbanization.This research offers targeted and valuable references for county and city governments in resource allocation and sustainable development.The proposed methodology is also adaptable for urban resilience studies in other regions.
基金supported by CUHK Strategic Impact Enhancement Fund(project no.3135536)Guangdong Basic and Applied Basic Research Foundation(2023B1515020029).
文摘Urbanization’s impact on pre-monsoon extreme rainfall in the Greater Bay Area(GBA),coastal South China(SC),and its relation to different synoptic systems remains understudied.This research investigates urbanization effects on premonsoon rainfall using hourly station observations and Weather Research and Forecasting model with the Single Layer Urban Canopy Model(WRF-SLUCM)simulations.Observations show stronger pre-monsoon extreme rainfall in GBA cities than surrounding rural areas,with the urban heat island(UHI)intensifying the urban rainfall intensity and probability.Extreme cases were classified into frontal and shear-line warm-sector types.Enhanced urban rainfall due to UHI was more pronounced under shear-line and warm-sector systems.Four frontal and four shear-line cases were dynamically downscaled using WRF-SLUCM,and four parallel experiments were conducted:“Nourban”(urban areas replaced by cropland),“AH0”,“AH100”,and“AH300”[normal land use,with the diurnal maximum anthropogenic heat(AH)set to 0,100,and 300 W m^(−2)in SLUCM,respectively].In frontal cases,significantly reduced urban rainfall in AH0 is due to decreased(enhanced)surface evaporation(wind divergence)in cities compared to cropland.Strong northerly winds and cold-air intrusion suppress the UHI in AH0 and AH100 during the rainfall process;enhanced urban rainfall occurs only in AH300.In contrast,for shear-line cases,urban friction and UHI promote local convection and wind convergence,increasing urban rainfall significantly in all urban experiments compared to Nourban.Overall,urbanization’s influence on SC’s premonsoon extreme rainfall is highly sensitive to the type of synoptic systems,necessitating further investigation of urban rainfall in this season.
文摘In sharp contrast to Western urbanization models, the distinctive feature of China's rapid urbanization lies in the production of space. This is not only a crucial entry point for comprehending China's urbanization path but also provides a new orientation for global urban studies.
基金Natural Resources Department of Inner Mongolia Autonomous Region,No.CHZX-2023-45The Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA23100201+2 种基金National Natural Science Foundation of China,No.42261144746Graduate Students’Research&Innovation Fund of Inner Mongolia Normal University,No.CXJJB22012Fundamental Research Funds for the Inner Mongolia Normal University,No.2022JBXC017。
文摘A comprehensive understanding of urbanization impacts on landscape dynamics,eco-environmental consequences,and advancements in human habitation is paramount for effectively advancing urbanization-related sustainable development goals.This study predicted the urbanization process within the Hohhot-Baotou-Ordos-Ulanqab(HBOU)region and its projected implications for ecology,human settlement,and energy consumption in 2020–2050 using multi-source data and models under Shared Socioeconomic Pathways(SSPs).The results revealed that the HBOU region's urban area grew by 624.66 km~2 between 1990 and 2020.By 2050,it is expected to reach 1793.49±169.30 km~2,mainly expanding into cropland(58.95%)and natural ecological land(31.79%).Urban greening is projected to enhance,with the highest urban green space(UGS)predicted under SSP1(32.42%).Under this scenario,the per capita urban area(PCUA)and per capita urban green space area(PCUGA)are projected to reach 172.66 and 55.63 m~2/person in 2050,respectively.Furthermore,the ecological and energy utilization impacts are anticipated to decrease by 3.99%to 37.52%relative to alternative scenarios.Our projections suggest that limiting urbanization area in the HBOU region to 1500–1600 km~2 would significantly enhance the settlement environment and mitigate ecological and energy consumption effects.These results guide urban strategies balancing ecology,energy use,and habitation in arid regions.
文摘This study examines the impact of urbanization on the Surface Urban Heat Island(SUHI)effect in the Bangkok Metropolitan Region(BMR)over a 36-year period,utilizing advanced machine learning techniques to assess changes in land use and land cover(LULC).The research addresses three key questions:(1)How have changes in LULC influenced the dynamics of the urban heat island(UHI)effect in the BMR?(2)What roles do green and blue infrastructure play in mitigating urban heat?(3)How effectively can machine learning models classify LULC changes and provide insights to support sustainable urban planning?The findings reveal a strong correlation between urban growth and increased land surface temperatures(LST),with parks and water bodies exhibiting lower LSTs,emphasizing the importance of green and blue infrastructure in mitigating urban heat.The SUHI effect,initially measured at 3℃ from 1988 to 1991,peaked at 4.8℃ between 2012 and 2019 before slightly declining to 4.1℃ in recent years due to urban greening initiatives.However,ongoing urban development continues to diminish green spaces and water bodies,underscoring the urgent need for sustainable urban planning.Economic factors,including the 1997 Asian Financial Crisis and land tax laws introduced in 2019,influenced land use patterns,further exacerbating the SUHI effect.The research highlights the necessity of integrated urban management and sustainable land use policies to enhance climate resilience in rapidly urbanizing regions like the BMR.
文摘Generative Artificial Intelligence(GenAI)systems have achieved remarkable capabilities across text,code,and image generation;however,their outputs remain prone to errors,hallucinations,and biases.Users often overtrust these outputs due to limited transparency,which can lead to misuse and decision errors.This study addresses the challenge of calibrating trust in GenAI through a human centered testing framework enhanced with adaptive explainability.We introduce a methodology that adjusts explanations dynamically according to user expertise,model output confidence,and contextual risk factors,providing guidance that is informative but not overwhelming.The framework was evaluated using outputs from OpenAI’s Generative Pretrained Transformer 4(GPT-4)for text and code generation and Stable Diffusion,a deep generative image model,for image synthesis.The evaluation covered text,code,and visual modalities.A dataset of 5000 GenAI outputs was created and reviewed by a diverse participant group of 360 individuals categorized by expertise level.Results show that adaptive explanations improve error detection rates,reduce the mean squared trust calibration error,and maintain efficient decision making compared with both static and no explanation conditions.Theframework increased error detection by up to 16% across expertise levels,a gain that can provide practical benefits in high stakes fields.For example,in healthcare it may help identify diagnostic errors earlier,and in law it may prevent reliance on flawed evidence in judicial work.These improvements highlight the framework’s potential to make Artificial Intelligence(AI)deployment safer and more accountable.Visual analyses,including trust accuracy plots,reliability diagrams,and misconception maps,show that the adaptive approach reduces overtrust and reveals patterns of misunderstanding across modalities.Statistical results confirmthe robustness of thesefindings across novice,intermediate,and expert users.The study offers insights for designing explanations that balance completeness and simplicity to improve trust calibration and cognitive load.The approach has implications for safe and transparent GenAI deployment and can inform both AI interface design and policy development for responsible AI use.
文摘At its core,Urbanization and Production of Space provides a comprehensive analysis of the intricate relationship between urbanization and the production of space,particularly within the rapidly evolving context of China's urban transformation.As one of the most populous and dynamically urbanizing nations,China serves as a compelling case for understanding the broader global implications of spatial restructuring.
文摘This paper first introduces the development process of urban street green landscape in China and the human-centered thinking of the design of urban street green landscape.On the basis of detailed elaboration of the basic theories of urban street green landscape,it analyzes the existing problems and causes for urban street green landscape.Then,from the perspective of human-centered thought,it comes up with several measures for optimizing the green landscape design of urban streets,to provide much more human-centered experience of urban street green landscape.
文摘This study examines the spatial and temporal patterns of wetland degradation in Delhi from 1991 to 2021 using remote sensing and GIS techniques.The Automated Water Extraction Index(AWEI)was applied to pre-monsoon Landsat imagery to delineate surface water bodies over the past 30 years accurately.Supervised classification was employed to generate land use maps,while census data was utilized to analyze urbanization trends across the region.Classification accuracy was assessed using Google Earth reference data through a confusion matrix,ensuring the reliability of the land cover analysis.Results reveal a significant decline in wetland extent,especially in densely populated and rapidly urbanizing districts such as North West,South,and East Delhi.During this time,the urban population increased from 52.7% to 97.4%,accompanied by a 70.2% expansion of built-up areas,while wetlands contracted from 32.9 km^(2) to 30.2 km^(2).South Delhi experienced the most severe wetland loss,with water body coverage dropping from 0.800% to 0.025%,whereas North East and Central Delhi maintained higher wetland coverage due to the influence of the Yamuna River and targeted conservation efforts.The study highlights the strong linkage between urban growth and wetland decline,which threatens biodiversity,groundwater recharge,and ecological stability.These findings emphasize the urgent need for integrated urban planning and conservation policies to safeguard wetlands,thereby promoting sustainability and water security in the National Capital Region.
基金supported by the National Natural Science Foundation Projects of China(Grant No.42071284).
文摘Understanding the complex interactions between urbanization and ecosystem services(ESs)is crucial for optimiz ing planning policies and achieving sustainable urban management.While previous research has largely focused on highly urbanized areas,little attention has been given to the phased effect of progressive urbanization on ES networks.This study proposes a conceptual framework that utilizes the network method and space-time replace ment to examine the effect of urbanization on the complex relationships among ESs at different stages,with a particular emphasis on the progressive evolution of the process.We apply this framework to the Horqin area,a typical eco-fragile area in China.Results demonstrate that the connectivity of the ES synergy network exhibits a non-stationary characteristic,initially increasing,then decreasing,and subsequently strengthening.Meanwhile,its modularity shows a rising trend during periods of accelerated urbanization.The performance of the trade off network displays the opposite pattern.Additionally,we observe a gradual replacement of provisioning and regulation services by cultural services in terms of dominance in the synergy network as urbanization advances.By providing guidance for identifying key planning initiatives and implementing ecological protection policies at different stages of development,this study contributes a pathway that can inform development strategies in other regions undergoing progressive urbanization.
基金supported by the Kushlan Fund from the University of Miami Department of Biology.
文摘South Florida’s natural forest ecosystems,including pine rocklands and hardwood hammocks,are threatened by land use change and urbanization,invasive species,and climate change.It is critical to understand the responses of these ecosystems to anthropogenic disturbances to conserve the remnants of the USA natural subtropical forests.Using dendrochronology,long-term growth patterns were characterized in three dominant native tree species:Bursera simaruba,Swietenia mahagoni,and Pinus elliottii.Core samples were collected from>30 individuals of each species in hardwood hammocks(B.simaruba and S.mahagoni)and pine rocklands(P.elliottii)to examine growth patterns.Relationships between annual tree growth rates and climatic variables were assessed to address three questions:(1)What are the climatic drivers of growth in these three South Florida tree species?(2)Are their growth rates stable or changing through time?and(3)Are tree growth rates affected by urbanization?Standardized growth rates of the three species have changed through time,with small young trees showing accelerated growth through time,whereas larger,older trees showed declining growth rates.S.mahagoni and B.simaruba grew faster in urbanized parks than in more natural parks,whereas P.elliottii grew slower in urban parks.There were positive correlations between tree growth and the current year’s fall precipitation and no discernable effects of the current year’s monthly temperatures on growth rates of any of the species.These results suggest that the foundational tree species of the southern USA endangered pine rocklands and hardwood hammocks may be vulnerable to ongoing changes in precipitation and temperature as well as other environmental effects associated with urbanization.
基金Financial support was provided by Secretaría de Cienciay Técnica-Universidad Nacional de Río Cuarto(SECyTUNRC,Grant PPI 18/C416)Fondo para la Investigación Científca y Tecnológica(FONCyT,Grant PICT BIDPICT 0981-20182530-2019).
文摘Wetlands are unique ecological environments capable of harboring high biodiversity.However,urbanization can degrade,eliminate,or transformthese habitats.Although amphibians utilize habitats created by humans in urban landscapes,few studies have investigated the infuence of thehabitat quality on the life history of anurans.We assessed life history traits such as snout-vent length(SVL),body condition,and reproductiveinvestment in the South American common toad Rhinella arenarum,to determine whether urbanization is harmful or benefcial to this species.We sampled wetlands with different levels of urbanization in Río Cuarto city,Córdoba,Argentina.We recorded males with lower SVL in mediumurbanized wetlands and those with the highest SVL in both low and high urbanization categories,similar to what was found for body conditionswith males with low body conditions inhabiting wetlands with a medium degree of urbanization.In females,lower SVL was recorded in mediumurbanization and highest SVL in high and low urbanization.It is observed that females recorded in highly urbanized wetlands have a very lowbody condition.The reproductive investment parameters were not signifcantly different,but we observed an association between a greaternumber of eggs and clutch size with wetlands of low urbanization.These results show a variability of responses of R.arenarum to urbanization,which could be due to phenotypic plasticity in its life history parameters,allowing it to inhabit urban areas.Continuous monitoring of the speciesin these wetlands is needed to determine if these biological responses are temporary or persistent.
文摘Urban lakes,situated in cities characterized by dense population and economic activities,are susceptible to eutrophication.This study focuses on the water ecological restoration project of Xuanwu Lake,assessing the efficacy of ecological management through laboratory analysis of water quality indicators.Furthermore,it delves into a comprehensive life cycle cost structure analysis,ecosystem service value accounting,and economic benefit evaluation.From an economic standpoint,the research examines the cost-effectiveness and external impacts of the clear-water ecosystem restoration project.Findings indicate that TP and TN levels in the treated area have decreased by over 50%,substantially reducing the eutrophication index.The cost-benefit ratio for each unit of treatment stands at 1:3.2(direct benefit).Notably,the restoration has markedly improved water quality and augmented the value of ecosystem services,demonstrating long-term cost sustainability and positive economic externalities.To ensure the sustained success of such restorations,it is imperative to optimize public resource allocation,incorporate market-based incentives,and furnish economic insights for managing urban lakes.
