Rapid urbanization in China has led to spatial antagonism between urban development and farmland protection and ecological security maintenance.Multi-objective spatial collaborative optimization is a powerful method f...Rapid urbanization in China has led to spatial antagonism between urban development and farmland protection and ecological security maintenance.Multi-objective spatial collaborative optimization is a powerful method for achieving sustainable regional development.Previous studies on multi-objective spatial optimization do not involve spatial corrections to simulation results based on the natural endowment of space resources.This study proposes an Ecological Security-Food Security-Urban Sustainable Development(ES-FS-USD)spatial optimization framework.This framework combines the non-dominated sorting genetic algorithm II(NSGA-II)and patch-generating land use simulation(PLUS)model with an ecological protection importance evaluation,comprehensive agricultural productivity evaluation,and urban sustainable development potential assessment and optimizes the territorial space in the Yangtze River Delta(YRD)region in 2035.The proposed sustainable development(SD)scenario can effectively reduce the destruction of landscape patterns of various land-use types while considering both ecological and economic benefits.The simulation results were further revised by evaluating the land-use suitability of the YRD region.According to the revised spatial pattern for the YRD in 2035,the farmland area accounts for 43.59%of the total YRD,which is 5.35%less than that in 2010.Forest,grassland,and water area account for 40.46%of the total YRD—an increase of 1.42%compared with the case in 2010.Construction land accounts for 14.72%of the total YRD—an increase of 2.77%compared with the case in 2010.The ES-FS-USD spatial optimization framework ensures that spatial optimization outcomes are aligned with the natural endowments of land resources,thereby promoting the sustainable use of land resources,improving the ability of spatial management,and providing valuable insights for decision makers.展开更多
To ensure the efficient use of resources,particularly in water-scarce arid and semi-arid regions where abiotic stress threatens food security,assessing soil and climate suitability for specific crops is crucial.Simult...To ensure the efficient use of resources,particularly in water-scarce arid and semi-arid regions where abiotic stress threatens food security,assessing soil and climate suitability for specific crops is crucial.Simultaneously,food production must align with sustainable development goals by minimizing negative environmental impacts.Therefore,establishing agro-climatic suitability using a spatiotemporal approach is essential.This involves three key steps:first,determining the climatically appropriate months based on the species’requirements(temporal suitability),and second,establishing the soil suitability of specific plots(spatial suitability).Following this,quantifying crop evapotranspiration allows for optimized water use.This study used climatic and soil variables from diverse data sources to characterize the study area.Subsequently,suitability classes for Portulaca oleracea were determined based on existing literature.Our analysis concerning temporal suitability revealed that June and July are the optimal months for sowing this species in all of the municipalities.Spatially,approximately 30%of the agricultural land use of the study area exhibits a highly suitable class in most municipalities.Both dimensions,the temporal and the spatially,were validated through Chi square(χ^(2))Goodness-of-Fit test and theχ^(2)test of independence,respectively.Consequently,for a one-month production cycle during periods of high suitability,estimated evapotranspiration values are between 210 and 245 mm.In brief,the study area demonstrates favorable agro-climatic conditions for P.oleracea cultivation in specific months of the year according to parameters used,with potential in a large proportion of agricultural land and achievable water requirements.展开更多
China has pledged to peak carbon dioxide(CO_(2))emissions by 2030 and achieve carbon neutrality by 2060.Carbon capture and storage(CCS)will play a key role in these efforts.Over the past several years,the China Geolog...China has pledged to peak carbon dioxide(CO_(2))emissions by 2030 and achieve carbon neutrality by 2060.Carbon capture and storage(CCS)will play a key role in these efforts.Over the past several years,the China Geological Survey(CGS)has completed the Suitability Evaluation Map of CO_(2)Geological Storage in Main Sedimentary Basins in China and Adjacent Sea Regions in 2017.This map reflects the suitability of the first-and secondary-order tectonic units within sedimentary basins for cO_(2)geological storage for CCS planning.The Junggar Basin is recognized as an important region for future CCS projects.Results from a mesoscale evaluation using the volume method indicate that deep saline aquifers represent the most significant resources for CO_(2)storage,with potential ranging from 48×10^(9)to 164×10^(9)t(with a P50 value of 96×10^(9)t).The highest storage potential is identified in the central and northern parts of the basin,reaching up to 9.5×10^(6)t/km^(2)at the P50 probability level.In contrast,the hinterland,eastern,and western parts of the basin generally exhibit storage potential of below 1.0×10^(6)t/km^(2)at the same probability level.The CGs has also characterized historical CO_(2)plume migration in reservoirs at the storage site of the Shenhua CCS demonstration project and conducted numerical simulations of CO_(2)plume migration for periods of 10 and 20 years following the shutdown of the injection well.The CGS implemented a kiloton-scale pilot test on CO_(2)-enhanced water recovery(CO_(2)-EWR)in eastern Junggar,revealing that CO_(2)flooding can improve the pressure for fluid production,with the highest ratio of CO_(2)to produced fluids estimated at approximately 1.2.Besides,an observation field for natural CO_(2)leakage,covering about 930 m^(2),was built in Qinghai Province.In natural CO_(2)fields or at artificial CO_(2)injection research sites,cO_(2)leakage points are primarily related to the distribution of faults(especially fault crossing),which can serve as pathways for CO_(2)leakage.The observation field provides a natural analog to wellbore failure and offers an opportunity to further monitor CO_(2)geological storage sites.However,it has been inferred that borehole ZK10 at the observation field has become a leakage pathway due to the drilling activities,inadequate well-plugging,and abandonment procedures without considering CO_(2)corrosion.展开更多
The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability,posing significant risks to structural safety and long-term devel...The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability,posing significant risks to structural safety and long-term development.This study addresses this critical issue by developing a Comprehensive Ground Suitability Index(CGSI)framework tailored for rural municipalities.Using Geographic Information Systems(GIS)and the Analytic Hierarchy Process(AHP),the CGSI integrates geophysical,geo-environmental,and geohazard parameters to systematically evaluate land suitability for construction.Data were collected from government agencies,previous studies,and field surveys focusing on theMunicipality ofOdiongan,Romblon.Parameters such as bearing capacity,soil type,slope,flood height,and liquefaction susceptibility were prioritized using AHP,ensuring consistency in decision-making.GIS tools were utilized to overlay weighted parameters,producing maps that categorize areas into suitability levels.Results reveal that Barangays Poctoy and Amatong are highly suitable for construction,while the Poblacion area exhibits marginal suitability due to high flood and liquefaction risks.The CGSI framework provides a structured,replicable approach to integrating multicriteria decision-making into urban planning,offering valuable insights for safe and sustainable development.This study underscores the urgency of combining GIS and AHP to address land-use challenges in rapidly urbanizing rural areas.The framework equips local governments with the tools to refine land use policies,mitigate hazards,and promote resilient urban development.Future research can enhance the CGSI by incorporating additional datasets and advanced modelling techniques to improve its applicability and precision.展开更多
This study presents an AI-driven Spatial Decision Support System (SDSS) aimed at transforming groundwater suitability assessments for domestic and irrigation uses in Visakhapatnam District, Andhra Pradesh, India. By e...This study presents an AI-driven Spatial Decision Support System (SDSS) aimed at transforming groundwater suitability assessments for domestic and irrigation uses in Visakhapatnam District, Andhra Pradesh, India. By employing advanced remote sensing, GIS, and machine learning techniques, groundwater quality data from 50 monitoring wells, sourced from the Central Ground Water Board (CGWB), was meticulously analysed. Key parameters, including pH, electrical conductivity, total dissolved solids, and major ion concentrations, were evaluated against World Health Organization (WHO) standards to determine domestic suitability. For irrigation, advanced metrics such as Sodium Adsorption Ratio (SAR), Kelly’s Ratio, Residual Sodium Carbonate (RSC), and percentage sodium (% Na) were utilized to assess water quality. The integration of GIS for spatial mapping and AI models for predictive analytics allows for a comprehensive visualization of groundwater quality distribution across the district. Additionally, the irrigation water quality was evaluated using the USA Salinity Laboratory diagram, providing essential insights for effective agricultural water management. This innovative SDSS framework promises to significantly enhance groundwater resource management, fostering sustainable practices for both domestic use and agriculture in the region.展开更多
Conversion of dryland to paddy fields(CDPF)is an effective way to transition from rain-fed to irrigated agricul ture,helping to mitigate the effects of climate change on agriculture and increase yields to meet growing...Conversion of dryland to paddy fields(CDPF)is an effective way to transition from rain-fed to irrigated agricul ture,helping to mitigate the effects of climate change on agriculture and increase yields to meet growing food demand.However,the suitability of CDPF is spatio-temporally dynamic but has often been neglected in previous studies.To fill this knowledge gap,this research developed a novel method for quantifying the suitability of CDPF,based on the MaxEnt model for application in Northeast China.We explored the spatiotemporal characteristics of the suitability of CDPF under the baseline scenario(2010-2020),and future projections(2030-2090)coupled with climate change and socioeconomic development scenarios(SSP126,SSP245,and SSP585),and revealed the driving factors behind it.Based on this,we identified potential priority areas for future CDPF implementation.The results show that the suitability of CDPF projects implemented in the past ten years is relatively high.Com pared with the baseline scenario,the suitability of CDPF under the future scenarios will decline overall,with the lightest decrease in the RCP585 and the most severe decrease in the RCP245.The key drivers affecting the suitability of CDPF are elevation,slope,population count,total nitrogen,soil organic carbon content,and precip itation seasonality.The potential priority areas for the future CDPF range from 6,284.61 km^(2)to 37,006.02 km^(2).These findings demonstrate the challenges of CDPF in adapting to climate change and food security,and provide insights for food-producing regions around the world facing climate crises.展开更多
Cropland suitability analysis is a vital tool for ensuring food security and sustainable agriculture,coordinating ecological space with human activity space on the Qinghai-Tibet Plateau(QTP).However,there are few stud...Cropland suitability analysis is a vital tool for ensuring food security and sustainable agriculture,coordinating ecological space with human activity space on the Qinghai-Tibet Plateau(QTP).However,there are few studies on complete and accurate cropland suitability assessments on the QTP,let alone on identifying key potential areas for cropland development.We used a novel assessment model to generate a 30-m cropland suitability map for the QTP.The identification of areas with cropland development potential and the evaluation of potentially available cropland were further integrated into a unified analytical framework.We found that only 10.18%of the study area is suitable for large-scale and permanent cropland.Moreover,approximately 72.75%of the existing cropland was found to be distributed in suitable or marginally suitable areas.Considering the trade-offs related to irrigation water supply convenience,approximately 1.07%of the study area was identified as having high potential for cropland development.Four key potential areas were further identified:the Shannan Valley,the Nyingchi Valley,the Zanda Valley,and the Gonghe Basin.These areas boast abundant potentially available cropland resources and ecological resettlement capacities,which leads us to recommend strategic priorities for comprehensive land consolidation and water development.This study has practical significance for optimizing land resource allocation and guiding decision-making related to ecological migration on the QTP.展开更多
The influence of global climate change on endangered species is of growing concern, especially for rosewood species that are in urgent need of protection and restoration. Ecological niche models are commonly used to e...The influence of global climate change on endangered species is of growing concern, especially for rosewood species that are in urgent need of protection and restoration. Ecological niche models are commonly used to evaluate probable species’ distribution under climate change and contribute to decision-making to define efficient management strategies. A model was developed to forecast which habitat was most likely appropriate for the Dalbergia odorifera. We screened the main climatic variables that describe the current geographic distribution of the species based on maximum entropy modelling (Maxent). We subsequently assessed its potential future distribution under moderate (RCP2.6) and severe (RCP8.5) climate change scenarios for the years 2050 and 2070. The precipitation ranges of the wettest month and the warmest quarter are the primary limiting factors for the current distribution of D. odorifera among the climatic predictors. Climate change will be expected to have beneficial effects on the distribution range of D. odorifera. In conclusion, the main limits for the distribution of D. odorifera are determined by the level of precipitation and human activities. The results of this study indicate that the coasts of southern China and Chongqing will play a key role in the protection and restoration of D. odorifera in the future.展开更多
This study examines the influence of land suitability and investment in facilities on tourism potential,with a particular focus on the mediating role of community engagement.While previous research has explored the im...This study examines the influence of land suitability and investment in facilities on tourism potential,with a particular focus on the mediating role of community engagement.While previous research has explored the impact of environmental and infrastructural factors on tourism development,few studies have examined the interactive effects of community engagement in maximizing these benefits.This study aims to fill this gap by providing empirical evidence from Huangma Village,Jiangxi Province,China.A quantitative research design was adopted,using Partial Least Squares-Structural Equation Modeling(PLS-SEM)in SmartPLS to test the hypothesized relationships.Data were collected from 231 respondents,including local residents,tourism business owners,government officials,and infrastructure developers,through a structured survey questionnaire.The results confirm that land suitability and infrastructure investment significantly enhance tourism potential,with community engagement playing a crucial mediating role.The findings suggest that tourism success depends not only on physical and economic factors but also on active local participation in tourism-related initiatives.This study contributes to the literature by integrating environmental,infrastructural,and social dimensions of tourism development.The findings offer practical insights for policymakers and tourism planners,emphasizing the need for sustainable land management,strategic infrastructure investment,and participatory tourism governance to maximize tourism potential.展开更多
Taking the Ming Tombs Forest Farm in Beijing as the research object,this research applied multi-source data fusion and GIS heat-map overlay analysis techniques,systematically collected bird observation point data from...Taking the Ming Tombs Forest Farm in Beijing as the research object,this research applied multi-source data fusion and GIS heat-map overlay analysis techniques,systematically collected bird observation point data from the Global Biodiversity Information Facility(GBIF),population distribution data from the Oak Ridge National Laboratory(ORNL)in the United States,as well as information on the composition of tree species in suitable forest areas for birds and the forest geographical information of the Ming Tombs Forest Farm,which is based on literature research and field investigations.By using GIS technology,spatial processing was carried out on bird observation points and population distribution data to identify suitable bird-watching areas in different seasons.Then,according to the suitability value range,these areas were classified into different grades(from unsuitable to highly suitable).The research findings indicated that there was significant spatial heterogeneity in the bird-watching suitability of the Ming Tombs Forest Farm.The north side of the reservoir was generally a core area with high suitability in all seasons.The deep-aged broad-leaved mixed forests supported the overlapping co-existence of the ecological niches of various bird species,such as the Zosterops simplex and Urocissa erythrorhyncha.In contrast,the shallow forest-edge coniferous pure forests and mixed forests were more suitable for specialized species like Carduelis sinica.The southern urban area and the core area of the mausoleums had relatively low suitability due to ecological fragmentation or human interference.Based on these results,this paper proposed a three-level protection framework of“core area conservation—buffer zone management—isolation zone construction”and a spatio-temporal coordinated human-bird co-existence strategy.It was also suggested that the human-bird co-existence space could be optimized through measures such as constructing sound and light buffer interfaces,restoring ecological corridors,and integrating cultural heritage elements.This research provided an operational technical approach and decision-making support for the scientific planning of bird-watching sites and the coordination of ecological protection and tourism development.展开更多
Oyster farming provides substantial ecological and economic benefits but is often constrained by the challenges of selecting suitable sites in dynamic coastal environments.This study presents a tailored oyster suitabi...Oyster farming provides substantial ecological and economic benefits but is often constrained by the challenges of selecting suitable sites in dynamic coastal environments.This study presents a tailored oyster suitability index(OSI)for the Zhujiang(Pearl)River Estuary(PRE),developed using Landsat satellite imagery and in situ observations collected from 2013 to 2023.Key environmental parameters,including sea surface temperature(SST),salinity,turbidity,and chlorophyll-a(Chl-a)concentration,were integrated for OSI retrieval.Optimal algorithms for each parameter were identified through evaluation using field measurements,yielding high accuracy,as evidenced by strong determination coefficients(R^(2))and low root mean square error(RMSE):R^(2)=0.98,RMSE=0.74℃for SST;R^(2)=0.94,RMSE=0.50 for salinity;R^(2)=0.95,RMSE=1.21 mg/m^(3)for Chl-a;R^(2)=0.91,RMSE=1.48 NTU for turbidity.The OSI revealed pronounced seasonal and spatial variability,with the highest suitability observed during winter and the lowest during summer.Validation results demonstrated strong alignment between OSI predictions and existing oyster farming zones.These findings underscore the value of remote sensing for scalable,near-real-time aquaculture site assessments.The OSI framework provides a robust decision-support tool for optimizing oyster cultivation,promoting sustainable aquaculture development in dynamic estuarine systems such as the PRE and beyond.展开更多
Based on the meteorological data of 24 automatic stations in Xinfeng County,combined with the climatic conditions for the growth of Morinda officinalis F.C.How and Sarcandra glabra(Thunb.)Nakai,the climate suitability...Based on the meteorological data of 24 automatic stations in Xinfeng County,combined with the climatic conditions for the growth of Morinda officinalis F.C.How and Sarcandra glabra(Thunb.)Nakai,the climate suitability zoning indicators of M.officinalis and S.glabra in Xinfeng County were constructed by relevant statistical methods,and the climate suitability zoning indicators were divided into four grades:most suitable,suitable,sub-suitable and unsuitable.According to the results of expert scores,the relevant growth impact factors were assigned weight values.Based on geographic information system(GIS),the climate suitability zoning of M.officinalis and S.glabra planting in Xinfeng County was carried out.The results show that most areas of Xinfeng County were suitable for planting M.officinalis and S.glabra.Among them,the most suitable planting areas of M.officinalis were mainly distributed in most of Huilong Town,from Jiangnan Community of Fengcheng Street to Yuntianhai area of Meikeng Town,Matouwantian Village and areas to the south,and areas to the south of Zhutong Village,Fengcheng Street.The most suitable areas for S.glabra planting were mainly distributed in Puchang Village of Huilong Town,the northeast of Huangzhai Town,the south of Fengcheng Street,and the central-southern part of Matou Town.The zoning results provide a scientific basis for the rational layout of M.officinalis and S.glabra planting in Xinfeng County.展开更多
Offshore carbon dioxide(CO_(2))geological storage is a promising strategy for reducing carbon emissions and supporting sustainable development in coastal regions within a carbon neutrality framework.However,only a few...Offshore carbon dioxide(CO_(2))geological storage is a promising strategy for reducing carbon emissions and supporting sustainable development in coastal regions within a carbon neutrality framework.However,only a few works have focused on offshore basins in China.To address this gap,this study established a dual indicator system that comprises necessary and critical indices and is integrated with the analytic hierarchy process.A coupled analysis was then performed to evaluate the suitability of 10 offshore sedimentary basins in China for CO_(2)geological storage.The necessary indicator system focuses on storage potential,geological conditions,and engineering feasibility.Meanwhile,the critical indicator system emphasizes the safety of storage projects and the viability of drilling operations.Evaluation results revealed that China's offshore basins have undergone two geological evolution stages,namely,the rifting and post-rifting phases,leading to the formation of a dual-layer structure characterized by faulted lower layers and sagged upper layers.These basins have thick and widespread Cenozoic strata,generally low seismic activity,and medium-to-low geothermal gradients.They form five reservoir-caprock systems with favorable geological conditions for CO_(2)storage.The Pearl River Mouth,East China Sea Shelf,and Bohai Basins emerged as primary candidates that offer substantial storage potential to support carbon neutrality goals in the Bohai Rim Economic Zone,Yangtze River Delta Economic Zone,and Guangdong-Hong Kong-Macao Greater Bay Area.The Beibu Gulf and South Yellow Sea Basins were identified as secondary candidates,and the Qiongdongnan and Yinggehai Basins were considered potential alternatives.展开更多
Evaluating the habitat suitability of flagship species and its key influencing factors is vital for understanding potential conservation issues and developing coping strategies.We surveyed the wintering population siz...Evaluating the habitat suitability of flagship species and its key influencing factors is vital for understanding potential conservation issues and developing coping strategies.We surveyed the wintering population size and distribution of the Black-necked Crane(Grus nigricollis)in the Yarlung Zangbo River Basin(YZRB)from 10 to 29 January 2022,and predicted the current potentially suitable habitat distribution and its effective factors using the Max Ent model.A total of 9337 wintering Black-necked Cranes were recorded in the YZRB in 2022,76.58%of which were primarily found in Lhunzub,Samzhubze,Namling,and Lhaze.Compared to 2018,the crane population has exhibited a notable decline in Samzhubze and Taktse,likely due to farmland plowing,winter irrigation,changes in agricultural practices,road construction and hydraulic projects.The crane population within various counties exhibited a significant positive correlation with the suitable habitat area(r=0.70,P=0.002,n=17).We also found that the currently suitable habitat area covered 17,204 km~2,of which only 3244 km~2(18.86%)was effectively protected at the national level,which was predominantly distributed in farmland and rangeland habitats characterized by gentle slopes,altitudes not exceeding 4500 m,and proximity to human settlements along rivers,where suitable isothermal values(51)and less seasonal precipitation(20 mm)prevail.Our study will be helpful for formulating reasonable conservation strategies to protect the core population of this threatened highland flagship species.展开更多
On the basis of data from Soil Test and Formula Fertilization project in Qimen county,we employed Geographic Information System Software ArcGIS 9.2 and CLRMIS（Cultivated Land Resource Management Information System at...On the basis of data from Soil Test and Formula Fertilization project in Qimen county,we employed Geographic Information System Software ArcGIS 9.2 and CLRMIS（Cultivated Land Resource Management Information System at County Scale） to establish region-specific estimation index system for tea cultivation in Qimen County by determining the estimation units,and carried out quantitative estimation analysis on tea cultivation there via comprehensive evaluation indices for natural elements of cultivated land.The results showed that the highly suitable,suitable,reluctantly suitable and unsuitable acreages are 5 665.8,8 327.1,8 415.9 and 11 979.9 hm2 respectively,accounting for 24.0%,35.3%,35.7% and 5.1% of the total acreage of cultivated land.These results would facilitate the production of high yield and quality tea in Qimen County.展开更多
[Objective] This study aimed to analyze the potential geography distribution of M.tanajoa in Yunnan.[Method] The suitability of M.tanajoa in Yunnan was studied in this paper using Maxent and ArcGIS,based on the biolog...[Objective] This study aimed to analyze the potential geography distribution of M.tanajoa in Yunnan.[Method] The suitability of M.tanajoa in Yunnan was studied in this paper using Maxent and ArcGIS,based on the biological data and known distribution of M.tanajoa,and meteorological data from years of 1950-2000 in WorldClim.[Result] The results showed that there were four levels of suitability assessment of M.tanajoa in Yunnan,in which western and eastern areas are in the most suitability,including part areas of Simao,Lincang,Baoshan,Nujiang,Diqing,Qujing and Wenshan areas.[Conclusion] The potential geographic distribution of M.tanajoa in Yunnan defined in this paper constructed the theory basis and technical support for scientifically forming of quarantine policy and measure for M.tanajoa in China.展开更多
基金National Natural Science Foundation of China,No.42301470,No.52270185,No.42171389Capacity Building Program of Local Colleges and Universities in Shanghai,No.21010503300。
文摘Rapid urbanization in China has led to spatial antagonism between urban development and farmland protection and ecological security maintenance.Multi-objective spatial collaborative optimization is a powerful method for achieving sustainable regional development.Previous studies on multi-objective spatial optimization do not involve spatial corrections to simulation results based on the natural endowment of space resources.This study proposes an Ecological Security-Food Security-Urban Sustainable Development(ES-FS-USD)spatial optimization framework.This framework combines the non-dominated sorting genetic algorithm II(NSGA-II)and patch-generating land use simulation(PLUS)model with an ecological protection importance evaluation,comprehensive agricultural productivity evaluation,and urban sustainable development potential assessment and optimizes the territorial space in the Yangtze River Delta(YRD)region in 2035.The proposed sustainable development(SD)scenario can effectively reduce the destruction of landscape patterns of various land-use types while considering both ecological and economic benefits.The simulation results were further revised by evaluating the land-use suitability of the YRD region.According to the revised spatial pattern for the YRD in 2035,the farmland area accounts for 43.59%of the total YRD,which is 5.35%less than that in 2010.Forest,grassland,and water area account for 40.46%of the total YRD—an increase of 1.42%compared with the case in 2010.Construction land accounts for 14.72%of the total YRD—an increase of 2.77%compared with the case in 2010.The ES-FS-USD spatial optimization framework ensures that spatial optimization outcomes are aligned with the natural endowments of land resources,thereby promoting the sustainable use of land resources,improving the ability of spatial management,and providing valuable insights for decision makers.
文摘To ensure the efficient use of resources,particularly in water-scarce arid and semi-arid regions where abiotic stress threatens food security,assessing soil and climate suitability for specific crops is crucial.Simultaneously,food production must align with sustainable development goals by minimizing negative environmental impacts.Therefore,establishing agro-climatic suitability using a spatiotemporal approach is essential.This involves three key steps:first,determining the climatically appropriate months based on the species’requirements(temporal suitability),and second,establishing the soil suitability of specific plots(spatial suitability).Following this,quantifying crop evapotranspiration allows for optimized water use.This study used climatic and soil variables from diverse data sources to characterize the study area.Subsequently,suitability classes for Portulaca oleracea were determined based on existing literature.Our analysis concerning temporal suitability revealed that June and July are the optimal months for sowing this species in all of the municipalities.Spatially,approximately 30%of the agricultural land use of the study area exhibits a highly suitable class in most municipalities.Both dimensions,the temporal and the spatially,were validated through Chi square(χ^(2))Goodness-of-Fit test and theχ^(2)test of independence,respectively.Consequently,for a one-month production cycle during periods of high suitability,estimated evapotranspiration values are between 210 and 245 mm.In brief,the study area demonstrates favorable agro-climatic conditions for P.oleracea cultivation in specific months of the year according to parameters used,with potential in a large proportion of agricultural land and achievable water requirements.
基金funded by the National Natural Science Foundation of China(No.42141013)China Geological Survey(DD20221818,DD20242513).
文摘China has pledged to peak carbon dioxide(CO_(2))emissions by 2030 and achieve carbon neutrality by 2060.Carbon capture and storage(CCS)will play a key role in these efforts.Over the past several years,the China Geological Survey(CGS)has completed the Suitability Evaluation Map of CO_(2)Geological Storage in Main Sedimentary Basins in China and Adjacent Sea Regions in 2017.This map reflects the suitability of the first-and secondary-order tectonic units within sedimentary basins for cO_(2)geological storage for CCS planning.The Junggar Basin is recognized as an important region for future CCS projects.Results from a mesoscale evaluation using the volume method indicate that deep saline aquifers represent the most significant resources for CO_(2)storage,with potential ranging from 48×10^(9)to 164×10^(9)t(with a P50 value of 96×10^(9)t).The highest storage potential is identified in the central and northern parts of the basin,reaching up to 9.5×10^(6)t/km^(2)at the P50 probability level.In contrast,the hinterland,eastern,and western parts of the basin generally exhibit storage potential of below 1.0×10^(6)t/km^(2)at the same probability level.The CGs has also characterized historical CO_(2)plume migration in reservoirs at the storage site of the Shenhua CCS demonstration project and conducted numerical simulations of CO_(2)plume migration for periods of 10 and 20 years following the shutdown of the injection well.The CGS implemented a kiloton-scale pilot test on CO_(2)-enhanced water recovery(CO_(2)-EWR)in eastern Junggar,revealing that CO_(2)flooding can improve the pressure for fluid production,with the highest ratio of CO_(2)to produced fluids estimated at approximately 1.2.Besides,an observation field for natural CO_(2)leakage,covering about 930 m^(2),was built in Qinghai Province.In natural CO_(2)fields or at artificial CO_(2)injection research sites,cO_(2)leakage points are primarily related to the distribution of faults(especially fault crossing),which can serve as pathways for CO_(2)leakage.The observation field provides a natural analog to wellbore failure and offers an opportunity to further monitor CO_(2)geological storage sites.However,it has been inferred that borehole ZK10 at the observation field has become a leakage pathway due to the drilling activities,inadequate well-plugging,and abandonment procedures without considering CO_(2)corrosion.
文摘The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability,posing significant risks to structural safety and long-term development.This study addresses this critical issue by developing a Comprehensive Ground Suitability Index(CGSI)framework tailored for rural municipalities.Using Geographic Information Systems(GIS)and the Analytic Hierarchy Process(AHP),the CGSI integrates geophysical,geo-environmental,and geohazard parameters to systematically evaluate land suitability for construction.Data were collected from government agencies,previous studies,and field surveys focusing on theMunicipality ofOdiongan,Romblon.Parameters such as bearing capacity,soil type,slope,flood height,and liquefaction susceptibility were prioritized using AHP,ensuring consistency in decision-making.GIS tools were utilized to overlay weighted parameters,producing maps that categorize areas into suitability levels.Results reveal that Barangays Poctoy and Amatong are highly suitable for construction,while the Poblacion area exhibits marginal suitability due to high flood and liquefaction risks.The CGSI framework provides a structured,replicable approach to integrating multicriteria decision-making into urban planning,offering valuable insights for safe and sustainable development.This study underscores the urgency of combining GIS and AHP to address land-use challenges in rapidly urbanizing rural areas.The framework equips local governments with the tools to refine land use policies,mitigate hazards,and promote resilient urban development.Future research can enhance the CGSI by incorporating additional datasets and advanced modelling techniques to improve its applicability and precision.
文摘This study presents an AI-driven Spatial Decision Support System (SDSS) aimed at transforming groundwater suitability assessments for domestic and irrigation uses in Visakhapatnam District, Andhra Pradesh, India. By employing advanced remote sensing, GIS, and machine learning techniques, groundwater quality data from 50 monitoring wells, sourced from the Central Ground Water Board (CGWB), was meticulously analysed. Key parameters, including pH, electrical conductivity, total dissolved solids, and major ion concentrations, were evaluated against World Health Organization (WHO) standards to determine domestic suitability. For irrigation, advanced metrics such as Sodium Adsorption Ratio (SAR), Kelly’s Ratio, Residual Sodium Carbonate (RSC), and percentage sodium (% Na) were utilized to assess water quality. The integration of GIS for spatial mapping and AI models for predictive analytics allows for a comprehensive visualization of groundwater quality distribution across the district. Additionally, the irrigation water quality was evaluated using the USA Salinity Laboratory diagram, providing essential insights for effective agricultural water management. This innovative SDSS framework promises to significantly enhance groundwater resource management, fostering sustainable practices for both domestic use and agriculture in the region.
基金supported by the Ministry of Education of Human-ities and Social Science project,China(Grant No.21YJA630121)the National Key Technology R&D Program of Ministry of Science and Technology of China(Grant No.2023YFD1500103)+2 种基金the Tsinghua Rural Studies PhD Scholarship(Grant No.202323)2023 Gradu-ate Innovation Fund Project of China University of Geosciences,Beijing(Grant No.ZD2023YC043)National Social Science Fund of China(Grants No.19ZDA096 and 20&ZD090)。
文摘Conversion of dryland to paddy fields(CDPF)is an effective way to transition from rain-fed to irrigated agricul ture,helping to mitigate the effects of climate change on agriculture and increase yields to meet growing food demand.However,the suitability of CDPF is spatio-temporally dynamic but has often been neglected in previous studies.To fill this knowledge gap,this research developed a novel method for quantifying the suitability of CDPF,based on the MaxEnt model for application in Northeast China.We explored the spatiotemporal characteristics of the suitability of CDPF under the baseline scenario(2010-2020),and future projections(2030-2090)coupled with climate change and socioeconomic development scenarios(SSP126,SSP245,and SSP585),and revealed the driving factors behind it.Based on this,we identified potential priority areas for future CDPF implementation.The results show that the suitability of CDPF projects implemented in the past ten years is relatively high.Com pared with the baseline scenario,the suitability of CDPF under the future scenarios will decline overall,with the lightest decrease in the RCP585 and the most severe decrease in the RCP245.The key drivers affecting the suitability of CDPF are elevation,slope,population count,total nitrogen,soil organic carbon content,and precip itation seasonality.The potential priority areas for the future CDPF range from 6,284.61 km^(2)to 37,006.02 km^(2).These findings demonstrate the challenges of CDPF in adapting to climate change and food security,and provide insights for food-producing regions around the world facing climate crises.
基金The Second Tibetan Plateau Scientific Expedition and Research ProgramNo.2019QZKK0406。
文摘Cropland suitability analysis is a vital tool for ensuring food security and sustainable agriculture,coordinating ecological space with human activity space on the Qinghai-Tibet Plateau(QTP).However,there are few studies on complete and accurate cropland suitability assessments on the QTP,let alone on identifying key potential areas for cropland development.We used a novel assessment model to generate a 30-m cropland suitability map for the QTP.The identification of areas with cropland development potential and the evaluation of potentially available cropland were further integrated into a unified analytical framework.We found that only 10.18%of the study area is suitable for large-scale and permanent cropland.Moreover,approximately 72.75%of the existing cropland was found to be distributed in suitable or marginally suitable areas.Considering the trade-offs related to irrigation water supply convenience,approximately 1.07%of the study area was identified as having high potential for cropland development.Four key potential areas were further identified:the Shannan Valley,the Nyingchi Valley,the Zanda Valley,and the Gonghe Basin.These areas boast abundant potentially available cropland resources and ecological resettlement capacities,which leads us to recommend strategic priorities for comprehensive land consolidation and water development.This study has practical significance for optimizing land resource allocation and guiding decision-making related to ecological migration on the QTP.
基金the National Natural Science Foundation of China(NSFC 31761143002,NSFC 3207178)China Postdoctoral Science Foundation(2022M710405)the National Forest and Grassland Genetic Recourse(No.2005DKA21003).
文摘The influence of global climate change on endangered species is of growing concern, especially for rosewood species that are in urgent need of protection and restoration. Ecological niche models are commonly used to evaluate probable species’ distribution under climate change and contribute to decision-making to define efficient management strategies. A model was developed to forecast which habitat was most likely appropriate for the Dalbergia odorifera. We screened the main climatic variables that describe the current geographic distribution of the species based on maximum entropy modelling (Maxent). We subsequently assessed its potential future distribution under moderate (RCP2.6) and severe (RCP8.5) climate change scenarios for the years 2050 and 2070. The precipitation ranges of the wettest month and the warmest quarter are the primary limiting factors for the current distribution of D. odorifera among the climatic predictors. Climate change will be expected to have beneficial effects on the distribution range of D. odorifera. In conclusion, the main limits for the distribution of D. odorifera are determined by the level of precipitation and human activities. The results of this study indicate that the coasts of southern China and Chongqing will play a key role in the protection and restoration of D. odorifera in the future.
文摘This study examines the influence of land suitability and investment in facilities on tourism potential,with a particular focus on the mediating role of community engagement.While previous research has explored the impact of environmental and infrastructural factors on tourism development,few studies have examined the interactive effects of community engagement in maximizing these benefits.This study aims to fill this gap by providing empirical evidence from Huangma Village,Jiangxi Province,China.A quantitative research design was adopted,using Partial Least Squares-Structural Equation Modeling(PLS-SEM)in SmartPLS to test the hypothesized relationships.Data were collected from 231 respondents,including local residents,tourism business owners,government officials,and infrastructure developers,through a structured survey questionnaire.The results confirm that land suitability and infrastructure investment significantly enhance tourism potential,with community engagement playing a crucial mediating role.The findings suggest that tourism success depends not only on physical and economic factors but also on active local participation in tourism-related initiatives.This study contributes to the literature by integrating environmental,infrastructural,and social dimensions of tourism development.The findings offer practical insights for policymakers and tourism planners,emphasizing the need for sustainable land management,strategic infrastructure investment,and participatory tourism governance to maximize tourism potential.
基金Sponsored by Beijing Youth Innovation Talent Support Program for Urban Greening and Landscaping——The 2024 Special Project for Promoting High-Quality Development of Beijing’s Landscaping through Scientific and Technological Innovation(KJCXQT202410).
文摘Taking the Ming Tombs Forest Farm in Beijing as the research object,this research applied multi-source data fusion and GIS heat-map overlay analysis techniques,systematically collected bird observation point data from the Global Biodiversity Information Facility(GBIF),population distribution data from the Oak Ridge National Laboratory(ORNL)in the United States,as well as information on the composition of tree species in suitable forest areas for birds and the forest geographical information of the Ming Tombs Forest Farm,which is based on literature research and field investigations.By using GIS technology,spatial processing was carried out on bird observation points and population distribution data to identify suitable bird-watching areas in different seasons.Then,according to the suitability value range,these areas were classified into different grades(from unsuitable to highly suitable).The research findings indicated that there was significant spatial heterogeneity in the bird-watching suitability of the Ming Tombs Forest Farm.The north side of the reservoir was generally a core area with high suitability in all seasons.The deep-aged broad-leaved mixed forests supported the overlapping co-existence of the ecological niches of various bird species,such as the Zosterops simplex and Urocissa erythrorhyncha.In contrast,the shallow forest-edge coniferous pure forests and mixed forests were more suitable for specialized species like Carduelis sinica.The southern urban area and the core area of the mausoleums had relatively low suitability due to ecological fragmentation or human interference.Based on these results,this paper proposed a three-level protection framework of“core area conservation—buffer zone management—isolation zone construction”and a spatio-temporal coordinated human-bird co-existence strategy.It was also suggested that the human-bird co-existence space could be optimized through measures such as constructing sound and light buffer interfaces,restoring ecological corridors,and integrating cultural heritage elements.This research provided an operational technical approach and decision-making support for the scientific planning of bird-watching sites and the coordination of ecological protection and tourism development.
基金The Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)under contract No.SML2021SP308the National Natural Science Foundation of China under contract Nos 42176173 and 42476268+1 种基金the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)under contract No.311020004Guangdong Geographical Science Data Center under contract No.2021B1212100003.
文摘Oyster farming provides substantial ecological and economic benefits but is often constrained by the challenges of selecting suitable sites in dynamic coastal environments.This study presents a tailored oyster suitability index(OSI)for the Zhujiang(Pearl)River Estuary(PRE),developed using Landsat satellite imagery and in situ observations collected from 2013 to 2023.Key environmental parameters,including sea surface temperature(SST),salinity,turbidity,and chlorophyll-a(Chl-a)concentration,were integrated for OSI retrieval.Optimal algorithms for each parameter were identified through evaluation using field measurements,yielding high accuracy,as evidenced by strong determination coefficients(R^(2))and low root mean square error(RMSE):R^(2)=0.98,RMSE=0.74℃for SST;R^(2)=0.94,RMSE=0.50 for salinity;R^(2)=0.95,RMSE=1.21 mg/m^(3)for Chl-a;R^(2)=0.91,RMSE=1.48 NTU for turbidity.The OSI revealed pronounced seasonal and spatial variability,with the highest suitability observed during winter and the lowest during summer.Validation results demonstrated strong alignment between OSI predictions and existing oyster farming zones.These findings underscore the value of remote sensing for scalable,near-real-time aquaculture site assessments.The OSI framework provides a robust decision-support tool for optimizing oyster cultivation,promoting sustainable aquaculture development in dynamic estuarine systems such as the PRE and beyond.
文摘Based on the meteorological data of 24 automatic stations in Xinfeng County,combined with the climatic conditions for the growth of Morinda officinalis F.C.How and Sarcandra glabra(Thunb.)Nakai,the climate suitability zoning indicators of M.officinalis and S.glabra in Xinfeng County were constructed by relevant statistical methods,and the climate suitability zoning indicators were divided into four grades:most suitable,suitable,sub-suitable and unsuitable.According to the results of expert scores,the relevant growth impact factors were assigned weight values.Based on geographic information system(GIS),the climate suitability zoning of M.officinalis and S.glabra planting in Xinfeng County was carried out.The results show that most areas of Xinfeng County were suitable for planting M.officinalis and S.glabra.Among them,the most suitable planting areas of M.officinalis were mainly distributed in most of Huilong Town,from Jiangnan Community of Fengcheng Street to Yuntianhai area of Meikeng Town,Matouwantian Village and areas to the south,and areas to the south of Zhutong Village,Fengcheng Street.The most suitable areas for S.glabra planting were mainly distributed in Puchang Village of Huilong Town,the northeast of Huangzhai Town,the south of Fengcheng Street,and the central-southern part of Matou Town.The zoning results provide a scientific basis for the rational layout of M.officinalis and S.glabra planting in Xinfeng County.
基金the National Natural Science Foundation of China(Nos.42206234,42476228,42076220)the Key R&D Project of Shandong Province(No.2024SFGC0302)+2 种基金the Project of Laoshan Laboratory(No.LSKJ202203404)the Project of China Geology Survey(Nos.DD202503023,DD20230401)support from the Ocean Negative Carbon Emissions(ONCE)Program。
文摘Offshore carbon dioxide(CO_(2))geological storage is a promising strategy for reducing carbon emissions and supporting sustainable development in coastal regions within a carbon neutrality framework.However,only a few works have focused on offshore basins in China.To address this gap,this study established a dual indicator system that comprises necessary and critical indices and is integrated with the analytic hierarchy process.A coupled analysis was then performed to evaluate the suitability of 10 offshore sedimentary basins in China for CO_(2)geological storage.The necessary indicator system focuses on storage potential,geological conditions,and engineering feasibility.Meanwhile,the critical indicator system emphasizes the safety of storage projects and the viability of drilling operations.Evaluation results revealed that China's offshore basins have undergone two geological evolution stages,namely,the rifting and post-rifting phases,leading to the formation of a dual-layer structure characterized by faulted lower layers and sagged upper layers.These basins have thick and widespread Cenozoic strata,generally low seismic activity,and medium-to-low geothermal gradients.They form five reservoir-caprock systems with favorable geological conditions for CO_(2)storage.The Pearl River Mouth,East China Sea Shelf,and Bohai Basins emerged as primary candidates that offer substantial storage potential to support carbon neutrality goals in the Bohai Rim Economic Zone,Yangtze River Delta Economic Zone,and Guangdong-Hong Kong-Macao Greater Bay Area.The Beibu Gulf and South Yellow Sea Basins were identified as secondary candidates,and the Qiongdongnan and Yinggehai Basins were considered potential alternatives.
基金supported by the National Natural Science Foundation of China(32070530)the National Key Research and Development Program of China(2019YFA0607103)+1 种基金the Qilian Mountain National Park Qinghai Province Management Bureauthe National Forestry and Grassland Administration of China。
文摘Evaluating the habitat suitability of flagship species and its key influencing factors is vital for understanding potential conservation issues and developing coping strategies.We surveyed the wintering population size and distribution of the Black-necked Crane(Grus nigricollis)in the Yarlung Zangbo River Basin(YZRB)from 10 to 29 January 2022,and predicted the current potentially suitable habitat distribution and its effective factors using the Max Ent model.A total of 9337 wintering Black-necked Cranes were recorded in the YZRB in 2022,76.58%of which were primarily found in Lhunzub,Samzhubze,Namling,and Lhaze.Compared to 2018,the crane population has exhibited a notable decline in Samzhubze and Taktse,likely due to farmland plowing,winter irrigation,changes in agricultural practices,road construction and hydraulic projects.The crane population within various counties exhibited a significant positive correlation with the suitable habitat area(r=0.70,P=0.002,n=17).We also found that the currently suitable habitat area covered 17,204 km~2,of which only 3244 km~2(18.86%)was effectively protected at the national level,which was predominantly distributed in farmland and rangeland habitats characterized by gentle slopes,altitudes not exceeding 4500 m,and proximity to human settlements along rivers,where suitable isothermal values(51)and less seasonal precipitation(20 mm)prevail.Our study will be helpful for formulating reasonable conservation strategies to protect the core population of this threatened highland flagship species.
文摘On the basis of data from Soil Test and Formula Fertilization project in Qimen county,we employed Geographic Information System Software ArcGIS 9.2 and CLRMIS（Cultivated Land Resource Management Information System at County Scale） to establish region-specific estimation index system for tea cultivation in Qimen County by determining the estimation units,and carried out quantitative estimation analysis on tea cultivation there via comprehensive evaluation indices for natural elements of cultivated land.The results showed that the highly suitable,suitable,reluctantly suitable and unsuitable acreages are 5 665.8,8 327.1,8 415.9 and 11 979.9 hm2 respectively,accounting for 24.0%,35.3%,35.7% and 5.1% of the total acreage of cultivated land.These results would facilitate the production of high yield and quality tea in Qimen County.
基金Supported by Special Fund for Cassava Technology System Fund(CARS-12-hncq)Science and Technology Program Project of Hainan Province (ZDXM20100022,ZDXM20110032)+1 种基金Research Foundation for Introduced Talents of Chinese Academy of Tropical Agriculture Sciences (Hzs0810)Special Fund for Agro-scientific Research in the Public Interest (200903034-5)~~
文摘[Objective] This study aimed to analyze the potential geography distribution of M.tanajoa in Yunnan.[Method] The suitability of M.tanajoa in Yunnan was studied in this paper using Maxent and ArcGIS,based on the biological data and known distribution of M.tanajoa,and meteorological data from years of 1950-2000 in WorldClim.[Result] The results showed that there were four levels of suitability assessment of M.tanajoa in Yunnan,in which western and eastern areas are in the most suitability,including part areas of Simao,Lincang,Baoshan,Nujiang,Diqing,Qujing and Wenshan areas.[Conclusion] The potential geographic distribution of M.tanajoa in Yunnan defined in this paper constructed the theory basis and technical support for scientifically forming of quarantine policy and measure for M.tanajoa in China.
