Intercity mobility lays the foundation for capital flow,information flow,and knowledge flow,etc.,and is important for promoting regional integration.Although many scholars have studied intercity mobility in extensive ...Intercity mobility lays the foundation for capital flow,information flow,and knowledge flow,etc.,and is important for promoting regional integration.Although many scholars have studied intercity mobility in extensive well-developed urban agglomerations,few studies have examined the characteristics of intercity mobility at the county level and its impact on regionalization in western China.This study takes the Guanzhong Plain urban agglomeration(GPUA)as a case to study the geographical law of intercity mobility and then explore its impact on regionalization.The results obtained show that intercity mobility network exhibits a hub and spoke patterns focusing on major municipal districts at the county level.We also found a corridor effect that counties with higher travel volumes are mostly located along the trunk high speed railway(HSR)lines.Unlike previous studies,the distribution of intercity mobility is more concentrated than that of population and exhibits a super-linear behavior rule.There are the differences in gravity law for overall trips,weekday trips,weekend trips,and holiday trips.With the decrease of travel duration,the effect of attraction of destination is weakening,but the influence of distance decay is increasing.Finally,the spatial organization is still administrative-centric and is dominated by intraprefecture and intra-provincial development.Moreover,the coupled degree between network-based regionalization and attribute-based regionalization shows a decreasing trend from administrative via cultural to physical factors.These findings enrich the research on the intercity mobility and the regionalization in inland developing urban agglomerations.展开更多
Soil cadmium(Cd)pollution is a global environmental issue of significant concern.In southwestern China,soil Cd content is notably influenced by high geochemical background and mining/smelting activities.However,the sp...Soil cadmium(Cd)pollution is a global environmental issue of significant concern.In southwestern China,soil Cd content is notably influenced by high geochemical background and mining/smelting activities.However,the specific contributions of these Cd sources to Cd enrichment and environmental risks in soils remain poorly understood.Therefore,this study investigated the total and bioavailable Cd and other metals in the topsoil and subsoils surrounding Caohai Lake in northwestern Guizhou Province.This research aimed to identify Cd sources,assess pollution characteristics,and evaluate the potential environmental risks.The results revealed that the carbonate bedrock has average Cd content of 0.66 mg/kg,confirming a naturally high geochemical background of Cd in the study area.Soil Cd content ranged from 0.14 to 6.69 mg/kg,with topsoil exhibiting higher average Cd content(2.29 mg/kg)than subsoil(0.71 mg/kg).Statistical analyses indicated that Cd in subsoil is primarily of geogenic origin.In contrast,approximately 87%of the total Cd in topsoil originates from atmospheric deposition linked to historical artisanal zinc smelting activities.The study found that Cd in topsoil reaches a moderate pollution level and poses a high potential ecological risk.Furthermore,the proportion of bioavailable Cd(DTPAextractable)was significantly higher in topsoil(26%)than in subsoil(13%).This elevated Cd bioavailability in topsoil is attributed to atmospheric Cd deposition,lower soil pH,and higher organic matter content.These findings provide critical insights for managing Cd risks in soils from regions with high geochemical backgrounds and smelting activities.展开更多
Vertical observations were used to explore the explosive growth(EG)of PM2.5in Shanghai in 2018 to investigate the rapid evolutionary mechanisms and health effects of a highly severe haze episode.The EG is defined a...Vertical observations were used to explore the explosive growth(EG)of PM2.5in Shanghai in 2018 to investigate the rapid evolutionary mechanisms and health effects of a highly severe haze episode.The EG is defined as the net increase in PM2.5concentration by more than 100μg/m3within 6 or 9 h.The average PM2.5concentration during EG was 118.1μg/m3,dominated by NO3-,NH4+,SO42-(SNA),and organic matter(OM),with a proportion of 31.1%,15.1%,14.8%,and 18.8%,respectively.In addition to being affected by chemical reactions,regional transport was the main influencing factor for OM,but local emissions were the main factor for SNA.Vertical observation results showed that EG events were influenced commonly by local emission,regional transport,and chemical reactions with a different proportion.Moreover,the heterogeneous reaction could possibly cause more severe pollution.The daily average nonaccidental mortality for EG[13.9(95%CI:5.5,25.0)]was about 4.0 times higher than that in Clean Days(CDs)[3.5(1.4,6.3)],and EG episodes caused a more severe effect on cardiovascular disease compared with respiratory disease.Moreover,local emissions and secondary gas-phase oxidation exhibited crucial factors for human health during EG,but regional transport during CDs.To sum up,ground-level observation could not fully explain the process of atmospheric pollution,but the vertical measurements help to understand the regional transport influence on the EG process.In the future,it is recommended that vertical observation should play a vital role in investigating regional heavy pollution episodes.展开更多
The Yellow Sea and Bohai Sea are among the global shelf seas susceptible to typhoons every year.Using observations and high-resolution numerical simulations,the current study investigates the dramatic changes in tempe...The Yellow Sea and Bohai Sea are among the global shelf seas susceptible to typhoons every year.Using observations and high-resolution numerical simulations,the current study investigates the dramatic changes in temperature and ocean heat content(OHC)of the Yellow Sea and Bohai Sea caused by Super Typhoon Maysak in early September 2020,which is representative of northwardortheastward-bypassing typhoons with centers just to the east of the study area.Temperature shows spatially coherent cooling in the upper mixed layer but warming in the subsurface layer in the majority of the offshore waters,due to wind-enhanced vertical mixing.In lower layers from the thermocline to sea bottom,temperature experiences significant warming in northeastern coastal waters of the Shandong Peninsula and in regions just off the Subei Shoal,but significant cooling in western coastal waters of the Korean Peninsula and southern coastal waters of the Shandong Peninsula.Significant temperature warming/cooling in lower layers is caused by coastal downwelling/upwelling.The total OHC of the study area decreases rapidly during Typhoon Maysak(2020)’s passage,which is generated comparably by latent heat loss at the sea surface and southward heat advection out of the study area at the southern boundary.Reduced shortwave radiation contributes positively but secondarily to the decreasing OHC during the first day.A numerical experiment suggests that Typhoon Maysak(2020)-induced OHC decline could have greatly affected the regional climate evolution in the following seasons.More studies are needed to fully understand the impacts of typhoons on regional climate changes in shelf seas at different time scales.展开更多
Drought influences carbon fixation by plants.Therefore,elucidating its impact on carbon fluxes in plants at the ecosystem level is crucial for assessing their role in mitigating climate change.Using carbon fluxes and ...Drought influences carbon fixation by plants.Therefore,elucidating its impact on carbon fluxes in plants at the ecosystem level is crucial for assessing their role in mitigating climate change.Using carbon fluxes and environmental factor data from FLUXNET sites,we analyzed the influence of drought on carbon fluxes,their drivers,time-lag effects,and recovery times across various climatic regions and seasons.Results showed drought significantly decreased gross primary production(GPP),ecosystem respiration,and net ecosystem productivity in arid regions but slightly increased carbon sequestration in humid regions.Summer droughts negatively affected vegetation carbon fluxes,partly offset by the positive impact of spring droughts.Nonforest carbon fluxes were more susceptible to drought effects than forest fluxes.Soil water content(SWC)was the main influence on changes in arid regions,whereas vapor pressure deficit(VPD)dominated humid regions.Decreased SWC and increased VPD reduced carbon sequestration in arid regions but increased it in humid regions.Increased VPD reduced GPP,leading to forest carbon loss,whereas decreased SWC reduced GPP,leading to nonforest carbon loss.The lag time of the drought effects on carbon fluxes was longer in humid regions(19.44 d)than in arid regions(14.71 d).Compared to nonforest areas(16.74 d and 57 d for drought lag and recovery time,respectively),forest areas had a longer lag(18.81 d)and recovery time(92 d).The findings revealed discrepancies in the main factors regulating vegetation carbon fluxes during droughts between arid and humid regions and between forest and nonforest ecosystems.These insights provide a new perspective on understanding and simulating carbon-climate feedback.Enhancing ecosystem diversity is a feasible measure to increase drought resistance.展开更多
Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptio...Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptions due to its subtropical monsoon climate,including typhoons and gusty winds,present ongoing challenges.Despite the growing focus on operational costs and third-party risks,research on low-altitude urban wind fields remains scarce.This study addresses this gap by integrating wind field analysis into UAV path planning,introducing key innovations to the classical model.First,UAV wind resistance and turbulence constraints are analyzed,mapping high-wind-speed and turbulence-prone zones in the airspace.Second,wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation,optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency.Additionally,a wind-aware Theta*algorithm is proposed,leveraging wind vectors to expedite search process,while Computational Fluid Dynamics(CFD)techniques are employed to calculate wind fields.A case study of Shenzhen,examining wind patterns over the past decade,demonstrates a 6.23%improvement in groundspeed and a 7.69%reduction in energy consumption compared to wind-agnostic models.This framework advances UAV logistics by enhancing route safety and energy efficiency,contributing to more cost-effective operations.展开更多
China’s coastal regions,characterized by dense populations and industrial agglomeration,face escalating threats from typhoon disasters.Understanding the evolution of socio-economic exposure to future typhoon landfall...China’s coastal regions,characterized by dense populations and industrial agglomeration,face escalating threats from typhoon disasters.Understanding the evolution of socio-economic exposure to future typhoon landfalls under global change is critical for effective disaster risk management.This study utilizes future typhoon track data simulated by the regional climate model version 4(RegCM4),combined with projected population and Gross Domestic Product(GDP)data for China’s coastal regions under three Shared Socioeconomic Pathways(SSPs:SSP1,sustainability;SSP2,middle of the road;SSP5,fossil-fueled development).We analyze typhoon impact zones for future periods(2030s,2050s,and 2090s)under Representative Concentration Pathways(RCPs:RCP2.6,RCP4.5,and RCP8.5,representing low,medium,and high greenhouse gas emission scenarios,respectively).Exposure levels for 2030,2050,and 2100 are calculated based on the annual average frequency of typhoon impacts during these periods,aiming to quantify the distribution characteristics of typhoon-affected population and GDP in China’s coastal regions.Key findings reveal two high-frequency typhoon im-pact zones:the Taiwan Strait region and the northern Qiongzhou Strait region.Furthermore,under RCP2.6,typhoon impacts may ex-tend to Liaoning,while RCP4.5 and RCP8.5 scenarios indicate potential impacts reaching further north to Heilongjiang.Under RCP4.5,Northeast China will experience the largest typhoon-affected area(43.800×104 km2)by the 2030s.High population and GDP exposure concentrates in the Yangtze River Delta,the Pearl River Delta,and the Taiwan Strait coastal areas.Notably,Liaoning’s cumulative ex-posed population may exceed 0.100×108 by 2030 and 2050 under RCP4.5 and RCP8.5 due to typhoon track migration.Given China’s location within the Western Pacific typhoon high-incidence region,the northward expansion of impacts will substantially escalate socio-economic exposure in mid-latitude regions previously at lower risk.These findings underscore the imperative for enhanced disaster pre-vention,mitigation strategies and targeted countermeasure research.展开更多
Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indice...Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indices,has provided a fresh perspective and valuable insight into the study of freezing of gait in Parkinson's disease.It has been revealed that Parkinson's disease is accompanied by widespread irregularities in inherent brain network activity.However,the effective integration of the multi-level indices of resting-state functional magnetic resonance imaging into clinical settings for the diagnosis of freezing of gait in Parkinson's disease remains a challenge.Although previous studies have demonstrated that radiomics can extract optimal features as biomarkers to identify or predict diseases,a knowledge gap still exists in the field of freezing of gait in Parkinson's disease.This cross-sectional study aimed to evaluate the ability of radiomics features based on multi-level indices of resting-state functional magnetic resonance imaging,along with clinical features,to distinguish between Parkinson's disease patients with and without freezing of gait.We recruited 28 patients with Parkinson's disease who had freezing of gait(15 men and 13 women,average age 63 years)and 30 patients with Parkinson's disease who had no freezing of gait(16 men and 14 women,average age 64 years).Magnetic resonance imaging scans were obtained using a 3.0T scanner to extract the mean amplitude of low-frequency fluctuations,mean regional homogeneity,and degree centrality.Neurological and clinical characteristics were also evaluated.We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators.We then performed predictive analysis of three distinct groups based on resting-state functional magnetic resonance imaging indicators indicators combined with clinical features.Subsequently,we conducted 100 additional five-fold cross-validations to determine the most effective model for each classification task and evaluated the performance of the model using the area under the receiver operating characteristic curve.The results showed that when differentiating patients with Parkinson's disease who had freezing of gait from those who did not have freezing of gait,or from healthy controls,the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750(with an accuracy of 70.9%)and 0.759(with an accuracy of 65.3%),respectively.When classifying patients with Parkinson's disease who had freezing of gait from those who had no freezing of gait,the model using the mean amplitude of low-frequency fluctuation values combined with two clinical features achieved the highest area under the receiver operating characteristic curve of 0.847(with an accuracy of 74.3%).The most significant features for patients with Parkinson's disease who had freezing of gait were amplitude of low-frequency fluctuation alterations in the left parahippocampal gyrus and two clinical characteristics:Montreal Cognitive Assessment and Hamilton Depression Scale scores.Our findings suggest that radiomics features derived from resting-state functional magnetic resonance imaging indices and clinical information can serve as valuable indices for the identification of freezing of gait in Parkinson's disease.展开更多
In the knowledge economy era,the rapid flow channels represented by high-speed rail(HSR)and online information flow promote cross-border development between cities.This study constructed a conceptual model of cross-bo...In the knowledge economy era,the rapid flow channels represented by high-speed rail(HSR)and online information flow promote cross-border development between cities.This study constructed a conceptual model of cross-border development from the perspective of flow space.Taking the Yangtze River Delta Region(YRDR),China,as a case study,we apply the Speaker-listener Label Propagation Algorithm(SLPA)to detect the heterogeneity patterns of cross-border development shaped by HSR flow and information flow in 2021.Results show that cross-border development among cities is more evident under information flows compared to HSR flow.Furthermore,intra-provincial cross-border development predominates under HSR flow,whereas inter-provincial cross-border development is more frequent under in-formation flow.Additionally,information flow leads to more shared or competitive nodes in cross-border development across different communities.In the future,leveraging these nodes'intermediary role will be the key to driving the next phase of regional integration.This research will enhance and broaden the theoretical frameworks for cross-border integrated development,flow space,and regional coordinated development.展开更多
Climate change significantly affects the arid/humid processes and patterns in China,directly impacting management decisions related to adaptive agriculture and water resources management,desertification control,and sp...Climate change significantly affects the arid/humid processes and patterns in China,directly impacting management decisions related to adaptive agriculture and water resources management,desertification control,and spatial ecological restoration.However,current studies primarily focus on changes in arid/humid climate variables,lacking quantitative characterization of the dynamic evolution of areal systems and their nonlinear responses.Based on the data of national meteorological stations from 1961 to 2020,we systematically quantified the nonlinear response of arid/humid patterns to climate change.The results revealed that 6.98%of eco-geographical arid/humid regions underwent type shifts over the past six decades,with 4.95%transitioning toward wetter conditions.Humid and semi-arid regions expanded significantly while sub-humid and arid regions contracted significantly.In the late 1990s,trends of the humid and sub-humid region shifted.Humid region contraction in northern China was driven primarily by precipitation decline,whereas the Tibetan Plateau responded to increasing potential evapotranspiration.During the same period,the retreat rate of the arid region slowed,linked to intensified aridification in the west part of northern China and a decelerating wetting trend in northwest China,both primarily driven by precipitation trends.Our study reveals the nonlinear response of the arid/humid patterns under climate change,providing a scientific basis for the improvement of regional climate resilience.展开更多
Systematically analyzing the impact mechanisms of policy on Land Use Conflict(LUC)is crucial for constructing effective conflict mitigation strategies.However,previous research on how policy influences LUC remains rel...Systematically analyzing the impact mechanisms of policy on Land Use Conflict(LUC)is crucial for constructing effective conflict mitigation strategies.However,previous research on how policy influences LUC remains relatively limited.Focusing on the indirect driving role of policy on LUC,this study proposed County Development Level(CDL)under Major Function Oriented Zone Planning(MFOZP)guidance as an intermediary variable,bridging the implicit influence of MFOZP and the explicit changes in LUC.Using the Beijing-Tianjin-Hebei(BTH)region in China as a case study,we analyzed the spatio-temporal evolution characteristics of LUC and CDL for the periods 2000-2010 and 2010-2020,before and after MFOZP implementation.Panel models and Geographically Weighted Regression(GWR)were employed to explore the mechanism by which CDL influences LUC under MFOZP guidance.The results show that:1)MFOZP implementation effectively alleviates land use pressure from regional development,with LUC continuously declining at a rate of 2.41%,while CDL exhibits slight growth(3.84%),during 2010-2020.2)Under MFOZP guidance,CDL reduces pressure on Land Use Structure Conflict(LUSC)and Land Use Process Conflict(LUPC),enhances its inhibitory effect on Land Use Function Conflict(LUFC),and significantly contributes to LUC coordination,with notable spatial heterogeneity.3)The coupling relationship between CDL and LUC has improved post-implementation.Based on this,tailored LUC coordination strategies are proposed for different functional zones.This study confirms the effectiveness of MFOZP in coordinating LUC and provides a scientific reference for LUC research under policy frameworks and the governance of LUC in the BTH region.展开更多
Numerous economically underdeveloped and ecologically fragile areas in southern China's mountainous regions face increasing challenges in achieving sustainable development. A comparative analysis of ecosystem serv...Numerous economically underdeveloped and ecologically fragile areas in southern China's mountainous regions face increasing challenges in achieving sustainable development. A comparative analysis of ecosystem service responses to land use scenarios, incorporating adaptive valuation coefficients, can reveal actionable pathways to reconcile sustainable development and ecological conservation in mountainous regions. In this study, the ecosystem service value(ESV) dynamics in the Hunan–Jiangxi Border Region(HJBR), which is a representative old revolutionary base with a relatively undeveloped economy, were investigated by integrating historical land use data analysis from 2000 to 2020 and adopting patch-generating land use simulation(PLUS) modelling. Three policy-responsive scenarios, namely, natural growth(NGS), farmland protection(FPS), and ecological protection(EPS), were systematically developed to project ESV variations for 2030 and 2040. Our analysis revealed that from 2000 to 2020, urban sprawl and water body expansion occurred at the expense of forestland, cultivated land, and grassland, yet yield-driven productivity improvements increased the ESV by 227.30%(equivalent to ¥250.0 billion). By 2040, the NGS achieves the greatest ESV increase(¥189.895 billion) while fully accommodating urban land demand;the FPS yields the smallest ESV increase(¥148.169 billion), with the EPS occupying an intermediate position(¥182.207 billion). Climate regulation and hydrological services dominate ecological functions, collectively exceeding 49% across all the scenarios and periods. By 2040, most service functions exhibit growth trends except for a 0.30% water supply decline under the FPS, whereas the EPS demonstrates balanced development through multidimensional service enhancements. These findings underscore the necessity of integrating ecological safeguards into land use planning frameworks to ensure sustainable regional development.展开更多
As a rare marine carbonate reservoir developed after the Eocene in the world,the oil and gas source of Palaeogene carbonate reservoirs in Kekeya area and the evolution process and mechanism of hydrocarbon accumulation...As a rare marine carbonate reservoir developed after the Eocene in the world,the oil and gas source of Palaeogene carbonate reservoirs in Kekeya area and the evolution process and mechanism of hydrocarbon accumulation are not clear,restricting the reasonable and effective development of Kekeya area.By the use of drilling cores and experimental data,oil and gas source correlation,reservoir evaluation,accumulation period and reservoir formation process were studied.Results show that the source rocks in the study area are mainly Permian lacustrine mudstone and Jurassic coal-bearing source rocks.The Palaeogene carbonate reservoirs are generally low porosity and ultra-low permeability,with secondary dissolution pores as the main reservoir space.The oil-gas source correlation shows that the Palaeogene crude oil is derived from the Permian source rock,and the natural gas is derived from the Jurassic source rock.The ancient and present reservoirs have experienced two oil and gas filling stages.The first stage is the middle and late Pliocene and the second stage is the early Pleistocene.The hydrocarbon accumulation mode was built as 'source-reservoir separation,fracture dredging,multi-stage filling'.The research results guide exploration in Tarim Basin and similar basins.展开更多
Climate change,land use/cover changes(LUCC),and landscape pattern alterations have increasingly complicated interactions among ecosystem services(ES)in temperate mountain forests,underscoring the importance of underst...Climate change,land use/cover changes(LUCC),and landscape pattern alterations have increasingly complicated interactions among ecosystem services(ES)in temperate mountain forests,underscoring the importance of understanding the mechanisms underlying the dominant trade-offs and synergies to inform sustainable natural resource management.In this study,we quantified the degree of trade-offs and synergies among water yield(WY),soil retention(SR),carbon storage(CS),and habitat quality(HQ),and elucidated their dominant drivers in the Changbai Mountain Region,Northeast China,from 1990 to 2020.Our results demonstrated that SR(+29.56%)and CS(+9.90%)increased,while WY(−8.77%)and HQ(−20.77%)decreased over the 30 years.ES interactions were dominated by trade-offs between WY and SR and synergies between WY and HQ.These dominant interactions were mainly driven by LUCC,particularly cropland expansion,forest loss,and urbanization,along with landscape pattern alterations associated with increased fragmentation and enhanced connectivity from afforestation,whereas climatic changes played a comparatively smaller role.LUCC not only directly influenced ES interactions but also exerted indirect effects through its alterations of landscape patterns.These complex,multifaceted drivers shape ES relationships and intensify mismatches between ES supply and demand,underscoring the urgent need for integrated,spatially explicit management strategies to balance ES provisioning and ensure long-term ecological sustainability in montane regions.展开更多
The Huang(Yellow River)-Huai(Huaihe)-Hai(Haihe)region(3H region)is an area with dense population,industry and agriculture in China,and is vital to the national economic development.Water scarcity in this region has be...The Huang(Yellow River)-Huai(Huaihe)-Hai(Haihe)region(3H region)is an area with dense population,industry and agriculture in China,and is vital to the national economic development.Water scarcity in this region has become critical especially due to climate change and intensified human activities.It is therefore essential to quantify the impact of water pricing policies on water consumption for optimizing water consumption structure and improving water use efficiency.This paper analyzed the water-saving effect of water pricing policies based on nonlinear fixed-effect models considering users’behaviors,and compared the water price elasticities in domestic and industrial sectors among provincial regions during 2007–2016.The results show that the price elasticity of industrial water demand approached unit elasticity,whereas the price elasticity of domestic water demand is relatively low.Consequently,water pricing policies during 2007–2016 reduced industrial water demand by 55.9%and domestic water demand by only 23.8%.By 2030,water price needs to be raised about 45%to balance the total water demand,as the growth per capita Gross Domestic Product(GDP)and industrial Gross Value Added(GVA)are projected to drive significant rise in water demand(both P<0.001).This study revealed the limitation of current water pricing policies on regional water conservation,which needs a combination with other measures to systematically promote water use efficiency and alleviate water stress.展开更多
The species pool hypothesis argues that local species diversity mainly depends on regional diversity,which is influenced by dispersal,historical and current environmental conditions.We hypothesize that regional factor...The species pool hypothesis argues that local species diversity mainly depends on regional diversity,which is influenced by dispersal,historical and current environmental conditions.We hypothesize that regional factors,such as the size of the regional species pool,current climate,topographical variability,and historical climate stability,also impact local species-abundance patterns,like the rarity of local species,though their specific effects are not yet well understood.Analyzing data from 3307 species across 3923 forest plots in Chinese subtropical and tropical regions,we employed boosted regression trees and structural equation modeling to assess the roles of regional species pool size along with climatic seasonality,topography,and soil factors,in shaping local richness and rarity.We found that local tree species richness declined with increasing latitude,while species rarity decreased from west to east.The factors such as current regional environment,paleoclimate stability,and human disturbance significantly affected local richness and rarity,primarily through their effects on regional species pool size.The impacts of regional mean temperature and elevational range on local richness surpassed local influences.Conversely,local climatic seasonality exerted the strongest influence on species rarity,followed by human activity.Overall,the findings indicate that regions with large regional species pools tend to support diverse communities with high proportions of rare species.展开更多
Waves are important physical phenomena in an ocean,and their accurate prediction is essential for ocean engineering,maritime traffic,and marine early warning systems.This study focuses on the Qinhuangdao Sea area loca...Waves are important physical phenomena in an ocean,and their accurate prediction is essential for ocean engineering,maritime traffic,and marine early warning systems.This study focuses on the Qinhuangdao Sea area located in the Bohai Sea,China.Herein,we use on-site wind data to correct the reanalysis wind data obtained from the European Centre for Medium-Range Weather Forecasts(ECMWF),improving the accuracy of boundary conditions.Then,we use the Simulating WAves Nearshore(SWAN)model to simulate the regional wave field over time.A regional wave-parameter prediction model is then developed using a limited number of sampled data(covering only 2 years,2020–2021);the model is based on the Whale Optimization Algorithm(WOA),convolutional neural networks(CNNs),and long short-term memory(LSTM)neural networks.WOA is used to optimize the CNN and LSTM framework;in this framework,CNN extracts spatial features,and the LSTM network captures temporal features,enabling accurate short and long-term predictions of wave height,period,and direction.The experimental results showed that despite the small sample size,the model achieves a goodness of fit of 0.9957 for wave height prediction,0.9973 for period,and 0.9749 for wave direction in short-term forecasting.As the prediction step size increases,the accuracy of the model decreases.When the prediction step size reaches 9 h,the root mean square error for the prediction of wave height,period,and direction increases to 0.2060 m,0.4582 s,and32.5358°,respectively.The reliability and applicability of the model are further validated by the experimental results.Our findings highlighted the potential of the developed model in operational wave forecasting,even with a limited number of sampled data.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.42371189)Central University Basic Research Fund of China(No.24ZYYB017)。
摘要Intercity mobility lays the foundation for capital flow,information flow,and knowledge flow,etc.,and is important for promoting regional integration.Although many scholars have studied intercity mobility in extensive well-developed urban agglomerations,few studies have examined the characteristics of intercity mobility at the county level and its impact on regionalization in western China.This study takes the Guanzhong Plain urban agglomeration(GPUA)as a case to study the geographical law of intercity mobility and then explore its impact on regionalization.The results obtained show that intercity mobility network exhibits a hub and spoke patterns focusing on major municipal districts at the county level.We also found a corridor effect that counties with higher travel volumes are mostly located along the trunk high speed railway(HSR)lines.Unlike previous studies,the distribution of intercity mobility is more concentrated than that of population and exhibits a super-linear behavior rule.There are the differences in gravity law for overall trips,weekday trips,weekend trips,and holiday trips.With the decrease of travel duration,the effect of attraction of destination is weakening,but the influence of distance decay is increasing.Finally,the spatial organization is still administrative-centric and is dominated by intraprefecture and intra-provincial development.Moreover,the coupled degree between network-based regionalization and attribute-based regionalization shows a decreasing trend from administrative via cultural to physical factors.These findings enrich the research on the intercity mobility and the regionalization in inland developing urban agglomerations.
基金supported by the National Natural Science Foundation of China(Nos.42373065,42330712)the Youth Innovation Promotion Association CAS(No.2021399)the complementary fund from the Department of Science and Technology of Guizhou Province。
摘要Soil cadmium(Cd)pollution is a global environmental issue of significant concern.In southwestern China,soil Cd content is notably influenced by high geochemical background and mining/smelting activities.However,the specific contributions of these Cd sources to Cd enrichment and environmental risks in soils remain poorly understood.Therefore,this study investigated the total and bioavailable Cd and other metals in the topsoil and subsoils surrounding Caohai Lake in northwestern Guizhou Province.This research aimed to identify Cd sources,assess pollution characteristics,and evaluate the potential environmental risks.The results revealed that the carbonate bedrock has average Cd content of 0.66 mg/kg,confirming a naturally high geochemical background of Cd in the study area.Soil Cd content ranged from 0.14 to 6.69 mg/kg,with topsoil exhibiting higher average Cd content(2.29 mg/kg)than subsoil(0.71 mg/kg).Statistical analyses indicated that Cd in subsoil is primarily of geogenic origin.In contrast,approximately 87%of the total Cd in topsoil originates from atmospheric deposition linked to historical artisanal zinc smelting activities.The study found that Cd in topsoil reaches a moderate pollution level and poses a high potential ecological risk.Furthermore,the proportion of bioavailable Cd(DTPAextractable)was significantly higher in topsoil(26%)than in subsoil(13%).This elevated Cd bioavailability in topsoil is attributed to atmospheric Cd deposition,lower soil pH,and higher organic matter content.These findings provide critical insights for managing Cd risks in soils from regions with high geochemical backgrounds and smelting activities.
基金supported by the National Key Research and Development Program of China(No.2023YFC3708202)the Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3)(No.FDLAP24002)+3 种基金the Academic Mentorship for Scientific Research Cadre Project(No.AMSCP-24-05-03)China Postdoctoral Science Foundation(No.2024M750517)Shanghai Pujiang Program(No.22PJ1404100)the Special Program for Shanghai Public Health Research(No.2024GKM03).
摘要Vertical observations were used to explore the explosive growth(EG)of PM2.5in Shanghai in 2018 to investigate the rapid evolutionary mechanisms and health effects of a highly severe haze episode.The EG is defined as the net increase in PM2.5concentration by more than 100μg/m3within 6 or 9 h.The average PM2.5concentration during EG was 118.1μg/m3,dominated by NO3-,NH4+,SO42-(SNA),and organic matter(OM),with a proportion of 31.1%,15.1%,14.8%,and 18.8%,respectively.In addition to being affected by chemical reactions,regional transport was the main influencing factor for OM,but local emissions were the main factor for SNA.Vertical observation results showed that EG events were influenced commonly by local emission,regional transport,and chemical reactions with a different proportion.Moreover,the heterogeneous reaction could possibly cause more severe pollution.The daily average nonaccidental mortality for EG[13.9(95%CI:5.5,25.0)]was about 4.0 times higher than that in Clean Days(CDs)[3.5(1.4,6.3)],and EG episodes caused a more severe effect on cardiovascular disease compared with respiratory disease.Moreover,local emissions and secondary gas-phase oxidation exhibited crucial factors for human health during EG,but regional transport during CDs.To sum up,ground-level observation could not fully explain the process of atmospheric pollution,but the vertical measurements help to understand the regional transport influence on the EG process.In the future,it is recommended that vertical observation should play a vital role in investigating regional heavy pollution episodes.
基金supported by the National Key Research and Development Program of China(Grant Nos.2022YFF0801400 and 2021YFF0704002)the Shandong Provincial Natural Science Foundation(Grant No.ZR2024LQX002)the National Science Foundation of China(Grant No.42176016).
摘要The Yellow Sea and Bohai Sea are among the global shelf seas susceptible to typhoons every year.Using observations and high-resolution numerical simulations,the current study investigates the dramatic changes in temperature and ocean heat content(OHC)of the Yellow Sea and Bohai Sea caused by Super Typhoon Maysak in early September 2020,which is representative of northwardortheastward-bypassing typhoons with centers just to the east of the study area.Temperature shows spatially coherent cooling in the upper mixed layer but warming in the subsurface layer in the majority of the offshore waters,due to wind-enhanced vertical mixing.In lower layers from the thermocline to sea bottom,temperature experiences significant warming in northeastern coastal waters of the Shandong Peninsula and in regions just off the Subei Shoal,but significant cooling in western coastal waters of the Korean Peninsula and southern coastal waters of the Shandong Peninsula.Significant temperature warming/cooling in lower layers is caused by coastal downwelling/upwelling.The total OHC of the study area decreases rapidly during Typhoon Maysak(2020)’s passage,which is generated comparably by latent heat loss at the sea surface and southward heat advection out of the study area at the southern boundary.Reduced shortwave radiation contributes positively but secondarily to the decreasing OHC during the first day.A numerical experiment suggests that Typhoon Maysak(2020)-induced OHC decline could have greatly affected the regional climate evolution in the following seasons.More studies are needed to fully understand the impacts of typhoons on regional climate changes in shelf seas at different time scales.
基金supported by the National Natural Science Foundation of China(grant no.32371866)。
摘要Drought influences carbon fixation by plants.Therefore,elucidating its impact on carbon fluxes in plants at the ecosystem level is crucial for assessing their role in mitigating climate change.Using carbon fluxes and environmental factor data from FLUXNET sites,we analyzed the influence of drought on carbon fluxes,their drivers,time-lag effects,and recovery times across various climatic regions and seasons.Results showed drought significantly decreased gross primary production(GPP),ecosystem respiration,and net ecosystem productivity in arid regions but slightly increased carbon sequestration in humid regions.Summer droughts negatively affected vegetation carbon fluxes,partly offset by the positive impact of spring droughts.Nonforest carbon fluxes were more susceptible to drought effects than forest fluxes.Soil water content(SWC)was the main influence on changes in arid regions,whereas vapor pressure deficit(VPD)dominated humid regions.Decreased SWC and increased VPD reduced carbon sequestration in arid regions but increased it in humid regions.Increased VPD reduced GPP,leading to forest carbon loss,whereas decreased SWC reduced GPP,leading to nonforest carbon loss.The lag time of the drought effects on carbon fluxes was longer in humid regions(19.44 d)than in arid regions(14.71 d).Compared to nonforest areas(16.74 d and 57 d for drought lag and recovery time,respectively),forest areas had a longer lag(18.81 d)and recovery time(92 d).The findings revealed discrepancies in the main factors regulating vegetation carbon fluxes during droughts between arid and humid regions and between forest and nonforest ecosystems.These insights provide a new perspective on understanding and simulating carbon-climate feedback.Enhancing ecosystem diversity is a feasible measure to increase drought resistance.
基金supported by the National Natural Science Foundation of China(No.U2433214)。
摘要Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptions due to its subtropical monsoon climate,including typhoons and gusty winds,present ongoing challenges.Despite the growing focus on operational costs and third-party risks,research on low-altitude urban wind fields remains scarce.This study addresses this gap by integrating wind field analysis into UAV path planning,introducing key innovations to the classical model.First,UAV wind resistance and turbulence constraints are analyzed,mapping high-wind-speed and turbulence-prone zones in the airspace.Second,wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation,optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency.Additionally,a wind-aware Theta*algorithm is proposed,leveraging wind vectors to expedite search process,while Computational Fluid Dynamics(CFD)techniques are employed to calculate wind fields.A case study of Shenzhen,examining wind patterns over the past decade,demonstrates a 6.23%improvement in groundspeed and a 7.69%reduction in energy consumption compared to wind-agnostic models.This framework advances UAV logistics by enhancing route safety and energy efficiency,contributing to more cost-effective operations.
基金Under the auspices of National Key Research and Development Program of China(No.2017YFA0604902,2024YFF1306802)Natural Science Foundation of Fujian Province(No.2022J01497)Open Project of the Strait Meteorology Laboratory(No.2025KF03)。
摘要China’s coastal regions,characterized by dense populations and industrial agglomeration,face escalating threats from typhoon disasters.Understanding the evolution of socio-economic exposure to future typhoon landfalls under global change is critical for effective disaster risk management.This study utilizes future typhoon track data simulated by the regional climate model version 4(RegCM4),combined with projected population and Gross Domestic Product(GDP)data for China’s coastal regions under three Shared Socioeconomic Pathways(SSPs:SSP1,sustainability;SSP2,middle of the road;SSP5,fossil-fueled development).We analyze typhoon impact zones for future periods(2030s,2050s,and 2090s)under Representative Concentration Pathways(RCPs:RCP2.6,RCP4.5,and RCP8.5,representing low,medium,and high greenhouse gas emission scenarios,respectively).Exposure levels for 2030,2050,and 2100 are calculated based on the annual average frequency of typhoon impacts during these periods,aiming to quantify the distribution characteristics of typhoon-affected population and GDP in China’s coastal regions.Key findings reveal two high-frequency typhoon im-pact zones:the Taiwan Strait region and the northern Qiongzhou Strait region.Furthermore,under RCP2.6,typhoon impacts may ex-tend to Liaoning,while RCP4.5 and RCP8.5 scenarios indicate potential impacts reaching further north to Heilongjiang.Under RCP4.5,Northeast China will experience the largest typhoon-affected area(43.800×104 km2)by the 2030s.High population and GDP exposure concentrates in the Yangtze River Delta,the Pearl River Delta,and the Taiwan Strait coastal areas.Notably,Liaoning’s cumulative ex-posed population may exceed 0.100×108 by 2030 and 2050 under RCP4.5 and RCP8.5 due to typhoon track migration.Given China’s location within the Western Pacific typhoon high-incidence region,the northward expansion of impacts will substantially escalate socio-economic exposure in mid-latitude regions previously at lower risk.These findings underscore the imperative for enhanced disaster pre-vention,mitigation strategies and targeted countermeasure research.
基金supported by the National Natural Science Foundation of China,No.82071909(to GF)the Natural Science Foundation of Liaoning Province,No.2023-MS-07(to HL)。
摘要Freezing of gait is a significant and debilitating motor symptom often observed in individuals with Parkinson's disease.Resting-state functional magnetic resonance imaging,along with its multi-level feature indices,has provided a fresh perspective and valuable insight into the study of freezing of gait in Parkinson's disease.It has been revealed that Parkinson's disease is accompanied by widespread irregularities in inherent brain network activity.However,the effective integration of the multi-level indices of resting-state functional magnetic resonance imaging into clinical settings for the diagnosis of freezing of gait in Parkinson's disease remains a challenge.Although previous studies have demonstrated that radiomics can extract optimal features as biomarkers to identify or predict diseases,a knowledge gap still exists in the field of freezing of gait in Parkinson's disease.This cross-sectional study aimed to evaluate the ability of radiomics features based on multi-level indices of resting-state functional magnetic resonance imaging,along with clinical features,to distinguish between Parkinson's disease patients with and without freezing of gait.We recruited 28 patients with Parkinson's disease who had freezing of gait(15 men and 13 women,average age 63 years)and 30 patients with Parkinson's disease who had no freezing of gait(16 men and 14 women,average age 64 years).Magnetic resonance imaging scans were obtained using a 3.0T scanner to extract the mean amplitude of low-frequency fluctuations,mean regional homogeneity,and degree centrality.Neurological and clinical characteristics were also evaluated.We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators.We then performed predictive analysis of three distinct groups based on resting-state functional magnetic resonance imaging indicators indicators combined with clinical features.Subsequently,we conducted 100 additional five-fold cross-validations to determine the most effective model for each classification task and evaluated the performance of the model using the area under the receiver operating characteristic curve.The results showed that when differentiating patients with Parkinson's disease who had freezing of gait from those who did not have freezing of gait,or from healthy controls,the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750(with an accuracy of 70.9%)and 0.759(with an accuracy of 65.3%),respectively.When classifying patients with Parkinson's disease who had freezing of gait from those who had no freezing of gait,the model using the mean amplitude of low-frequency fluctuation values combined with two clinical features achieved the highest area under the receiver operating characteristic curve of 0.847(with an accuracy of 74.3%).The most significant features for patients with Parkinson's disease who had freezing of gait were amplitude of low-frequency fluctuation alterations in the left parahippocampal gyrus and two clinical characteristics:Montreal Cognitive Assessment and Hamilton Depression Scale scores.Our findings suggest that radiomics features derived from resting-state functional magnetic resonance imaging indices and clinical information can serve as valuable indices for the identification of freezing of gait in Parkinson's disease.
基金Under the Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China,Ministry of Natural Resources(No.2024NRMK08)the National Natural Science Foundation of China(No.42101160)。
摘要In the knowledge economy era,the rapid flow channels represented by high-speed rail(HSR)and online information flow promote cross-border development between cities.This study constructed a conceptual model of cross-border development from the perspective of flow space.Taking the Yangtze River Delta Region(YRDR),China,as a case study,we apply the Speaker-listener Label Propagation Algorithm(SLPA)to detect the heterogeneity patterns of cross-border development shaped by HSR flow and information flow in 2021.Results show that cross-border development among cities is more evident under information flows compared to HSR flow.Furthermore,intra-provincial cross-border development predominates under HSR flow,whereas inter-provincial cross-border development is more frequent under in-formation flow.Additionally,information flow leads to more shared or competitive nodes in cross-border development across different communities.In the future,leveraging these nodes'intermediary role will be the key to driving the next phase of regional integration.This research will enhance and broaden the theoretical frameworks for cross-border integrated development,flow space,and regional coordinated development.
基金National Natural Science Foundation of China,No.42377460。
摘要Climate change significantly affects the arid/humid processes and patterns in China,directly impacting management decisions related to adaptive agriculture and water resources management,desertification control,and spatial ecological restoration.However,current studies primarily focus on changes in arid/humid climate variables,lacking quantitative characterization of the dynamic evolution of areal systems and their nonlinear responses.Based on the data of national meteorological stations from 1961 to 2020,we systematically quantified the nonlinear response of arid/humid patterns to climate change.The results revealed that 6.98%of eco-geographical arid/humid regions underwent type shifts over the past six decades,with 4.95%transitioning toward wetter conditions.Humid and semi-arid regions expanded significantly while sub-humid and arid regions contracted significantly.In the late 1990s,trends of the humid and sub-humid region shifted.Humid region contraction in northern China was driven primarily by precipitation decline,whereas the Tibetan Plateau responded to increasing potential evapotranspiration.During the same period,the retreat rate of the arid region slowed,linked to intensified aridification in the west part of northern China and a decelerating wetting trend in northwest China,both primarily driven by precipitation trends.Our study reveals the nonlinear response of the arid/humid patterns under climate change,providing a scientific basis for the improvement of regional climate resilience.
基金Under the auspices of the National Key Research and Development Program of China(No.2018YFD1100803)the Fundamental Research Fund for the Central Universities(Ph.D.Top Innovative Talents Fund of CUMTB)(No.BBJ2024029)。
摘要Systematically analyzing the impact mechanisms of policy on Land Use Conflict(LUC)is crucial for constructing effective conflict mitigation strategies.However,previous research on how policy influences LUC remains relatively limited.Focusing on the indirect driving role of policy on LUC,this study proposed County Development Level(CDL)under Major Function Oriented Zone Planning(MFOZP)guidance as an intermediary variable,bridging the implicit influence of MFOZP and the explicit changes in LUC.Using the Beijing-Tianjin-Hebei(BTH)region in China as a case study,we analyzed the spatio-temporal evolution characteristics of LUC and CDL for the periods 2000-2010 and 2010-2020,before and after MFOZP implementation.Panel models and Geographically Weighted Regression(GWR)were employed to explore the mechanism by which CDL influences LUC under MFOZP guidance.The results show that:1)MFOZP implementation effectively alleviates land use pressure from regional development,with LUC continuously declining at a rate of 2.41%,while CDL exhibits slight growth(3.84%),during 2010-2020.2)Under MFOZP guidance,CDL reduces pressure on Land Use Structure Conflict(LUSC)and Land Use Process Conflict(LUPC),enhances its inhibitory effect on Land Use Function Conflict(LUFC),and significantly contributes to LUC coordination,with notable spatial heterogeneity.3)The coupling relationship between CDL and LUC has improved post-implementation.Based on this,tailored LUC coordination strategies are proposed for different functional zones.This study confirms the effectiveness of MFOZP in coordinating LUC and provides a scientific reference for LUC research under policy frameworks and the governance of LUC in the BTH region.
基金supported by the National Natural Science Foundation of China(No.4230130142401322)+2 种基金the Scientific Research Foundation of Hunan Provincial Education Department,China(No.22A0159No.22B0191)the Fund Project of Key Laboratory of Rule of Law Research of Ministry of Natural Resources(CUGFZ-2204)。
摘要Numerous economically underdeveloped and ecologically fragile areas in southern China's mountainous regions face increasing challenges in achieving sustainable development. A comparative analysis of ecosystem service responses to land use scenarios, incorporating adaptive valuation coefficients, can reveal actionable pathways to reconcile sustainable development and ecological conservation in mountainous regions. In this study, the ecosystem service value(ESV) dynamics in the Hunan–Jiangxi Border Region(HJBR), which is a representative old revolutionary base with a relatively undeveloped economy, were investigated by integrating historical land use data analysis from 2000 to 2020 and adopting patch-generating land use simulation(PLUS) modelling. Three policy-responsive scenarios, namely, natural growth(NGS), farmland protection(FPS), and ecological protection(EPS), were systematically developed to project ESV variations for 2030 and 2040. Our analysis revealed that from 2000 to 2020, urban sprawl and water body expansion occurred at the expense of forestland, cultivated land, and grassland, yet yield-driven productivity improvements increased the ESV by 227.30%(equivalent to ¥250.0 billion). By 2040, the NGS achieves the greatest ESV increase(¥189.895 billion) while fully accommodating urban land demand;the FPS yields the smallest ESV increase(¥148.169 billion), with the EPS occupying an intermediate position(¥182.207 billion). Climate regulation and hydrological services dominate ecological functions, collectively exceeding 49% across all the scenarios and periods. By 2040, most service functions exhibit growth trends except for a 0.30% water supply decline under the FPS, whereas the EPS demonstrates balanced development through multidimensional service enhancements. These findings underscore the necessity of integrating ecological safeguards into land use planning frameworks to ensure sustainable regional development.
基金supported by the project of Petro China Tarim Oilfield Company (TXN22040034)the National Natural Science Foundation of China (42302142)。
摘要As a rare marine carbonate reservoir developed after the Eocene in the world,the oil and gas source of Palaeogene carbonate reservoirs in Kekeya area and the evolution process and mechanism of hydrocarbon accumulation are not clear,restricting the reasonable and effective development of Kekeya area.By the use of drilling cores and experimental data,oil and gas source correlation,reservoir evaluation,accumulation period and reservoir formation process were studied.Results show that the source rocks in the study area are mainly Permian lacustrine mudstone and Jurassic coal-bearing source rocks.The Palaeogene carbonate reservoirs are generally low porosity and ultra-low permeability,with secondary dissolution pores as the main reservoir space.The oil-gas source correlation shows that the Palaeogene crude oil is derived from the Permian source rock,and the natural gas is derived from the Jurassic source rock.The ancient and present reservoirs have experienced two oil and gas filling stages.The first stage is the middle and late Pliocene and the second stage is the early Pleistocene.The hydrocarbon accumulation mode was built as 'source-reservoir separation,fracture dredging,multi-stage filling'.The research results guide exploration in Tarim Basin and similar basins.
基金supported by the National Key R&D Program of China(No.2022YFF1300904)the National Natural Science Foundation of China(Nos.42371075 and 42471127)the Natural Science Foun-dation of Jilin Province(No.YDZJ202501ZYTS464).
摘要Climate change,land use/cover changes(LUCC),and landscape pattern alterations have increasingly complicated interactions among ecosystem services(ES)in temperate mountain forests,underscoring the importance of understanding the mechanisms underlying the dominant trade-offs and synergies to inform sustainable natural resource management.In this study,we quantified the degree of trade-offs and synergies among water yield(WY),soil retention(SR),carbon storage(CS),and habitat quality(HQ),and elucidated their dominant drivers in the Changbai Mountain Region,Northeast China,from 1990 to 2020.Our results demonstrated that SR(+29.56%)and CS(+9.90%)increased,while WY(−8.77%)and HQ(−20.77%)decreased over the 30 years.ES interactions were dominated by trade-offs between WY and SR and synergies between WY and HQ.These dominant interactions were mainly driven by LUCC,particularly cropland expansion,forest loss,and urbanization,along with landscape pattern alterations associated with increased fragmentation and enhanced connectivity from afforestation,whereas climatic changes played a comparatively smaller role.LUCC not only directly influenced ES interactions but also exerted indirect effects through its alterations of landscape patterns.These complex,multifaceted drivers shape ES relationships and intensify mismatches between ES supply and demand,underscoring the urgent need for integrated,spatially explicit management strategies to balance ES provisioning and ensure long-term ecological sustainability in montane regions.
基金Under the auspices of the National Natural Science Foundation of China(No.42361144876)the National Key Research and Development Program of China(No.2021YFC3200505)the Postdoctoral Fellowship Program and China Postdoctoral Science Foundation(No.BX20250083)。
摘要The Huang(Yellow River)-Huai(Huaihe)-Hai(Haihe)region(3H region)is an area with dense population,industry and agriculture in China,and is vital to the national economic development.Water scarcity in this region has become critical especially due to climate change and intensified human activities.It is therefore essential to quantify the impact of water pricing policies on water consumption for optimizing water consumption structure and improving water use efficiency.This paper analyzed the water-saving effect of water pricing policies based on nonlinear fixed-effect models considering users’behaviors,and compared the water price elasticities in domestic and industrial sectors among provincial regions during 2007–2016.The results show that the price elasticity of industrial water demand approached unit elasticity,whereas the price elasticity of domestic water demand is relatively low.Consequently,water pricing policies during 2007–2016 reduced industrial water demand by 55.9%and domestic water demand by only 23.8%.By 2030,water price needs to be raised about 45%to balance the total water demand,as the growth per capita Gross Domestic Product(GDP)and industrial Gross Value Added(GVA)are projected to drive significant rise in water demand(both P<0.001).This study revealed the limitation of current water pricing policies on regional water conservation,which needs a combination with other measures to systematically promote water use efficiency and alleviate water stress.
基金supported by the National Natural Science Foundation of China(32301401&32071538)the Innovation Program of Shanghai Municipal Education Commission(2023ZKZD36)+2 种基金the VILLUM Investigator project“Biodiversity Dynamics in a Changing World”funded by Villum Fonden(grant16549)the Center for Ecological Dynamics in a Novel Biosphere(ECONOVO)funded by Danish National Research Foundation(grant DNRF173)the Fundamental Research Program of Shanxi Province(202303021222281)。
摘要The species pool hypothesis argues that local species diversity mainly depends on regional diversity,which is influenced by dispersal,historical and current environmental conditions.We hypothesize that regional factors,such as the size of the regional species pool,current climate,topographical variability,and historical climate stability,also impact local species-abundance patterns,like the rarity of local species,though their specific effects are not yet well understood.Analyzing data from 3307 species across 3923 forest plots in Chinese subtropical and tropical regions,we employed boosted regression trees and structural equation modeling to assess the roles of regional species pool size along with climatic seasonality,topography,and soil factors,in shaping local richness and rarity.We found that local tree species richness declined with increasing latitude,while species rarity decreased from west to east.The factors such as current regional environment,paleoclimate stability,and human disturbance significantly affected local richness and rarity,primarily through their effects on regional species pool size.The impacts of regional mean temperature and elevational range on local richness surpassed local influences.Conversely,local climatic seasonality exerted the strongest influence on species rarity,followed by human activity.Overall,the findings indicate that regions with large regional species pools tend to support diverse communities with high proportions of rare species.
基金supported by the National Natural Science Foundation of China(Nos.52071057,52171247)the Liaoning Youth Elite Talent Program(No.XLYC220309)。
摘要Waves are important physical phenomena in an ocean,and their accurate prediction is essential for ocean engineering,maritime traffic,and marine early warning systems.This study focuses on the Qinhuangdao Sea area located in the Bohai Sea,China.Herein,we use on-site wind data to correct the reanalysis wind data obtained from the European Centre for Medium-Range Weather Forecasts(ECMWF),improving the accuracy of boundary conditions.Then,we use the Simulating WAves Nearshore(SWAN)model to simulate the regional wave field over time.A regional wave-parameter prediction model is then developed using a limited number of sampled data(covering only 2 years,2020–2021);the model is based on the Whale Optimization Algorithm(WOA),convolutional neural networks(CNNs),and long short-term memory(LSTM)neural networks.WOA is used to optimize the CNN and LSTM framework;in this framework,CNN extracts spatial features,and the LSTM network captures temporal features,enabling accurate short and long-term predictions of wave height,period,and direction.The experimental results showed that despite the small sample size,the model achieves a goodness of fit of 0.9957 for wave height prediction,0.9973 for period,and 0.9749 for wave direction in short-term forecasting.As the prediction step size increases,the accuracy of the model decreases.When the prediction step size reaches 9 h,the root mean square error for the prediction of wave height,period,and direction increases to 0.2060 m,0.4582 s,and32.5358°,respectively.The reliability and applicability of the model are further validated by the experimental results.Our findings highlighted the potential of the developed model in operational wave forecasting,even with a limited number of sampled data.