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
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
Construction land is the leading carrier of human activities such as production and living.Evaluating the construction land suitability(CLS)on the Qinghai-Tibet Plateau(QTP)holds significant implications for harmonizi...Construction land is the leading carrier of human activities such as production and living.Evaluating the construction land suitability(CLS)on the Qinghai-Tibet Plateau(QTP)holds significant implications for harmonizing the relationship between ecological protection and human activity and promoting population and industry layout optimization.However,no relevant studies provide a complete CLS assessment of the QTP.In this study,we developed a model-based CLS evaluation framework coupling of pattern and process to calculate the global CLS on the QTP based on a previously developed CLS evaluation model.Then,using the land-use data of 1990,2000,2010,and 2020,we examined the adaptability of existing construction land(ECL)to the CLS assessment result through the adaptability index and vertical gradient index and further analyzed the limitations of maladaptive construction land.Finally,we calculated the potential area of reserve suitable construction land.This article includes four conclusions:(1)The highly suitable,suitable,moderately suitable,marginally suitable,and unsuitable CLS classes cover areas of 0.33×10^(4)km^(2),10.42×10^(4)km^(2),18.06×10^(4)km^(2),24.12×10^(4)km^(2),and 205.29×10^(4)km^(2),respectively.Only approximately 11%of the study area on the QTP is suitable for large-scale permanent construction land,and approximately 79.50%of the area is unsuitable under current economic and technological conditions.(2)The ECL adaptability index is 85.16%,85.93%,85.18%,and 78.01%during 1990–2020,respectively,with an average adaptability index exceeding 80%on the QTP.The ECL distribution generally conforms to construction land suitable space characteristics but with a significant spatial difference.(3)From 1990 to 2020,the maladaptive ECL was dominated by rural settlement land,transport land,and special land,with a rapidly increasing proportion of urban and other construction land.The maladaptive ECL is constrained by both elevation and slope in the southern Qinghai Plateau,the Hengduan Mountains,and the Qilian Mountains.In contrast,elevation is significantly more limiting than slope in the northern Tibet Plateau,the Gangdis Mountains,and the Himalayan Mountains.(4)The potential area of reserve suitable construction land is 12.41×10^(4)km^(2),accounting for 4.81%of the total land area of the QTP,and the per capita area is 9928 m^(2).Regions of Qaidam Basin,Gonghe Basin,and Lhasa-Shannan Valley have the richest and most concentrated land resource of reserve suitable construction land.The research results provide spatial decision support for urban and rural settlement planning and ecological migration on the QTP.展开更多
Urban green areas play a vital role in enhancing the social balance,resilience,and environmental sustainability of urban settings.In Benin,while the landscaping sector is expanding,finding appropriate locations for cr...Urban green areas play a vital role in enhancing the social balance,resilience,and environmental sustainability of urban settings.In Benin,while the landscaping sector is expanding,finding appropriate locations for creating green spaces remains a challenge.The purpose of this studywas to identify areas conducive to the incorporation of green landscapes into urban planning within the Sèmè-PodjiDistrict.The approach used involved amulti-criteria analysis leveraging a combinedGIS andAnalyticHierarchy Process(AHP)framework.Six key factorswere considered:land use,elevation,slope,distance tomajor roads,proximity to urban hubs,and separation from flood-prone zones and water bodies.These were analyzed using the“Spatial Analysis”feature of ArcGIS to create a map highlighting areas suitable for the development of green spaces.The findings reveal that a substantial portion of land,approximately 44.77%,is highly favorable,and 20.88%suitable for landscaping in this district.The weighting of factors combined in this analysis reveals a 21%importance for land use and elevation,while distance from separation from floodprone zones is given a weight of 18%.Distance to major roads and proximity to urban hubs are weighted at 15%,against 12%for the slope factor.This information provides guidance to decision-makers in selecting suitable sites for green spaces and their integration into the land management of Sèmè-Podji District.The results of this study also provide a scientific basis for addressing similar concerns in other cities.展开更多
Additive manufacturing(AM)is a widely applied manufacturing paradigm used for the layer-by-layer fabrica-tion of desired components and objects,especially for those with highly intricate geometry.Extrusion-based AM,wh...Additive manufacturing(AM)is a widely applied manufacturing paradigm used for the layer-by-layer fabrica-tion of desired components and objects,especially for those with highly intricate geometry.Extrusion-based AM,which is a subcategory of AM processing technologies,is characterized by the facilitation of controlled and successive deposition of feedstock AM materials through the nozzles of printer heads onto a print bed.Extrusion-based AM processing enables design freedom but offers cost efficiency and process simplicity when compared to other AM categories i.e.liquid-and powder-based AM technologies.The extrusion-based AM process has become increasingly widespread over the last two decades because of the expanding material options that can be used in this technology,and its capacity to be hybridised through the addition of multiple printheads or incorpora-tion into a secondary manufacturing system.Despite the promising aspects of the extrusion-based AM process,increasing demands for customised extrusion-based printed products and an expanding range of extrusion-based AM materials create both material-and process-related challenges that limit the suitability of extrusion-based AM processes for some specific applications.Consequently,the principal objective of this review paper is to conduct a suitability analysis of extrusion-based AM processes.The suitability analysis follows a review and discussion about the extrusion-based AM process,and an assessment of easy-and hard-to-print extrusion-based AM mate-rials.This paper,therefore,provides a comprehensive suitability analysis of each extrusion-based AM process while also providing some promising ideas for improving their current suitability levels.The findings and ratings reported in this paper importantly offers viewpoints that would support better futuristic comparisons between developed and developing extrusion-based AM processes,especially as businesses look to adopt the right AM solutions.展开更多
Forest degradation induced by intensive forest management and temperature increase by climate change are resulting in biodiversity decline in boreal forests.Intensive forest management and high-end climate emission sc...Forest degradation induced by intensive forest management and temperature increase by climate change are resulting in biodiversity decline in boreal forests.Intensive forest management and high-end climate emission scenarios can further reduce the amount and diversity of deadwood,the limiting factor for habitats for saproxylic species in European boreal forests.The magnitude of their combined effects and how changes in forest management can affect deadwood diversity under a range of climate change scenarios are poorly understood.We used forest growth simulations to evaluate how forest management and climate change will individually and jointly affect habitats of red-listed saproxylic species in Finland.We simulated seven forest management regimes and three climate scenarios(reference,RCP4.5 and RCP8.5)over 100 years.Management regimes included set aside,continuous cover forestry,business-as-usual(BAU)and four modifications of BAU.Habitat suitability was assessed using a speciesspecific habitat suitability index,including 21 fungal and invertebrate species groups.“Winner”and“loser”species were identified based on the modelled impacts of forest management and climate change on their habitat suitability.We found that forest management had a major impact on habitat suitability of saproxylic species compared to climate change.Habitat suitability index varied by over 250%among management regimes,while overall change in habitat suitability index caused by climate change was on average only 2%.More species groups were identified as winners than losers from impacts of climate change(52%–95%were winners,depending on the climate change scenario and management regime).The largest increase in habitat suitability index was achieved under set aside(254%)and the climate scenario RCP8.5(>2%),while continuous cover forestry was the most suitable regime to increase habitat suitability of saproxylic species(up to+11%)across all climate change scenarios.Our results show that close-to-nature management regimes(e.g.,continuous cover forestry and set aside)can increase the habitat suitability of many saproxylic boreal species more than the basic business-as-usual regime.This suggests that biodiversity loss of many saproxylic species in boreal forests can be mitigated through improved forest management practices,even as climate change progresses.展开更多
Ice and snow tourism in China has grown significantly since the country successfully hosted the Beijing Winter Olympics.Climatic conditions profoundly impact the development of ice and snow tourism;however,most studie...Ice and snow tourism in China has grown significantly since the country successfully hosted the Beijing Winter Olympics.Climatic conditions profoundly impact the development of ice and snow tourism;however,most studies have focused on constructing different climate suitability indicators for ice and snow tourism to evaluate individual regions,lacking horizontal comparative studies across multiple regions.This study aims to enrich the connotation of climate suitability for ice and snow sports,establish an evaluation model based on snowfall amount,temperature,and wind speed,and use daily meteorological data from 1991 to 2021 to horizontally compare the climate suitability for ice and snow sports in major ski tourism destinations in China.This study boasts four major findings:1)the average ice and snow sports climate index of each region decreases over time,and the overall suitability of the climate for ice and snow sports is reducing;2)northern Xinjiang exhibits the most evident regional differentiation from‘very suitable’to‘generally suitable’;3)the spatial zoning of climate suitability for ice and snow sports exhibits heterogeneity,as northern Xinjiang is divided into two‘suitable and above’zones with rotating empirical orthogonal function(REOF).Correspondingly,the four provinces of Hebei,Heilongjiang,Jilin,and Liaoning are divided into three‘generally suitable and above’zones;4)snowfall amount is the main factor affecting the climate suitability of ice and snow sports in the major ski tourist destinations in China.展开更多
This paper focuses on the Shichahai area of Beijing to assess the walking suitability of its coastal and surrounding streets.Shichahai area,covering an area of about 302 hm^(2),is an important historical and cultural ...This paper focuses on the Shichahai area of Beijing to assess the walking suitability of its coastal and surrounding streets.Shichahai area,covering an area of about 302 hm^(2),is an important historical and cultural protection zone in Beijing,with rich historical and cultural heritage and modern urban activities.This paper uses literature analysis,field research and Baidu Street View map data to construct an evaluation system of three first-level indicators,including space safety,walking comfort and landscape enrichment,and determines the weight of each indicator by expert scoring method.The street is evaluated and analyzed by means of statistical analysis.In order to improve the walking environment of Shichahai area,it is suggested to monitor and manage street hygiene,replant vegetation to improve the green coverage rate and landscape richness,and optimize the walking space design to ensure the safety and comfort of pedestrians.These measures aim to balance historical preservation with modern needs and promote the protection and development of historical and cultural districts.展开更多
Bangladesh, situated in tropical and subtropical regions, receives significant amount of solar energy, making it an ideal location for solar energy production. However, determining suitable sites in the country for so...Bangladesh, situated in tropical and subtropical regions, receives significant amount of solar energy, making it an ideal location for solar energy production. However, determining suitable sites in the country for solar based power plant establishment turns out to be a difficult task given its dense population. This study aims to the identification of such a potential site by assessing the stability of the Jamuna river Island to be proposed as a site for developing solar based power plant. The research concentrates on Fulchhari union of Gaibandha district, one of the three major islands in the Jamuna river, utilizing two GIS-based multi-criteria decision-making (MCDM) techniques. One is Digital Shoreline Analysis System (DSAS) for stability analysis, and another is Analytical Hierarchy Process (AHP) for suitability evaluation. For the stability analysis of the island, Landsat satellite imagery of 1990, 1995, 2000, 2005, 2010, 2015 and 2020 covering a long term of 30 years period were investigated. Based on average change rates, the bankline of the island was divided into 2 accretion zones in the south and south-eastern direction, and 8 erosion zones. Along with the bankline changes, climatological, geomorphological, and environmental factors have been adopted to modeling process for suitability analysis. The optimal locations for solar based power plants have been demonstrated by a suitability map, where high and standard potential area is about 60% of the area of Fulchhari union. Production may be enhanced up to 5 times more with the consideration of utilizing the moderate optimum zone.展开更多
Haemaphysalis ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming,the third largest island in China.To understand the distribution of these ticks and determine their pot...Haemaphysalis ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming,the third largest island in China.To understand the distribution of these ticks and determine their potential invasion risk,this study aimed to identify the habitat suitability of the dominant tick H.flava based on natural environmental factors.Geographic information system(GIS)images were combined with sample points from tick investigations to map the spatial distribution of H.flava.Data on 19 bioclimatic variables,environmental variables,and satellite-based landscapes of Chongming Island were retrieved to create a landcover map related to natural environmental determinants of H.flava.These data included 38 sites associated with the vectors to construct species distribution models with MaxEnt,a model based on the maximum entropy principle,and to predict habitat suitability for H.flava on Chongming Island in 2050 and 2070 under different climate scenarios.The model performed well in predicting the H.flava distribution,with a training area under the curve of 0.84 and a test area under the curve of 0.73.A habitat suitability map of the whole study area was created for H.flava.The resulting map and natural environment analysis highlighted the importance of the normalized difference vegetation index and precipitation in the driest month for the bioecology of H.flava,with 141.61 km^(2)(11.77%),282.94 km^(2)(23.35%),and 405.30 km^(2)(33.69%)of highly,moderately,and poorly suitable habitats,respectively.The distribution decreased by 135.55 km^(2) and 138.82 km^(2) in 2050 and 2070,respectively,under the shared socioeconomic pathway(SSP)1.2.6 climate change scenario.However,under SSP 5.8.5,the total area will decrease by 128.5 km^(2) in 2050 and increase by 151.64 km^(2) in 2070.From a One Health perspective,this study provides good knowledge that will guide tick control efforts to prevent the spread of Haemaphysalis ticks or transmission risk of Haemaphysalis-borne infections at the human-animal-environment interface on the island.展开更多
Themain purpose of this work is to propose amethodology that considers themulticriteria andmulti-actor aspects for assessing land suitability for agriculture.This involves offering a group spatial decision-making appr...Themain purpose of this work is to propose amethodology that considers themulticriteria andmulti-actor aspects for assessing land suitability for agriculture.This involves offering a group spatial decision-making approach.The members of a multidisciplinary team can decide on the relative importance of the criteria and the ranking of alternatives.Each member provides his judgment and contributes in a distinct and identifiable manner to find a compromise solution.Twelve criteria(easily available water reserve,cation exchange capacity,electric conductivity,potential of hydrogen(pH),drainage,permeability,active limestone,soil texture,soil useful depth,slopes,labor availability,and proximity to roads)grouped into four factors(agronomy,planning and socio-economy,land enhancement and improvement,conservation of soils and environmental protection)were selected in this study.The methodology consists of calculating the initial criteria weights using the AHP method.The final weights are obtained using the Consensual Convergence Model(CCM),and the decision-maker’s performance is aggregated using the ELECTRE Tri method.All the required processing methods were integrated into a GIS environment.The methodological developments were motivated by an application to the suitability of land for durum wheat cultivation in a study area in Mleta,Algeria,which is comprised of 74 land units.Every criterion was classified from the best to the poor based on its values and used for assessing land suitability for agriculture.The land units were assigned to different predefined classes.The final results are presented as a map produced according to the optimistic procedure of ELECTRE Tri.The greatest contribution of this research lies in integrating group decisionmaking in multicriteria spatial decisions,particularly the land suitability for agriculture,which has never been previously addressed.The consistency of the obtained map confirms the methods’effectiveness.展开更多
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.
基金The Second Tibetan Plateau Scientific Expedition and Research Program,No.2019QZKK0406。
文摘Construction land is the leading carrier of human activities such as production and living.Evaluating the construction land suitability(CLS)on the Qinghai-Tibet Plateau(QTP)holds significant implications for harmonizing the relationship between ecological protection and human activity and promoting population and industry layout optimization.However,no relevant studies provide a complete CLS assessment of the QTP.In this study,we developed a model-based CLS evaluation framework coupling of pattern and process to calculate the global CLS on the QTP based on a previously developed CLS evaluation model.Then,using the land-use data of 1990,2000,2010,and 2020,we examined the adaptability of existing construction land(ECL)to the CLS assessment result through the adaptability index and vertical gradient index and further analyzed the limitations of maladaptive construction land.Finally,we calculated the potential area of reserve suitable construction land.This article includes four conclusions:(1)The highly suitable,suitable,moderately suitable,marginally suitable,and unsuitable CLS classes cover areas of 0.33×10^(4)km^(2),10.42×10^(4)km^(2),18.06×10^(4)km^(2),24.12×10^(4)km^(2),and 205.29×10^(4)km^(2),respectively.Only approximately 11%of the study area on the QTP is suitable for large-scale permanent construction land,and approximately 79.50%of the area is unsuitable under current economic and technological conditions.(2)The ECL adaptability index is 85.16%,85.93%,85.18%,and 78.01%during 1990–2020,respectively,with an average adaptability index exceeding 80%on the QTP.The ECL distribution generally conforms to construction land suitable space characteristics but with a significant spatial difference.(3)From 1990 to 2020,the maladaptive ECL was dominated by rural settlement land,transport land,and special land,with a rapidly increasing proportion of urban and other construction land.The maladaptive ECL is constrained by both elevation and slope in the southern Qinghai Plateau,the Hengduan Mountains,and the Qilian Mountains.In contrast,elevation is significantly more limiting than slope in the northern Tibet Plateau,the Gangdis Mountains,and the Himalayan Mountains.(4)The potential area of reserve suitable construction land is 12.41×10^(4)km^(2),accounting for 4.81%of the total land area of the QTP,and the per capita area is 9928 m^(2).Regions of Qaidam Basin,Gonghe Basin,and Lhasa-Shannan Valley have the richest and most concentrated land resource of reserve suitable construction land.The research results provide spatial decision support for urban and rural settlement planning and ecological migration on the QTP.
文摘Urban green areas play a vital role in enhancing the social balance,resilience,and environmental sustainability of urban settings.In Benin,while the landscaping sector is expanding,finding appropriate locations for creating green spaces remains a challenge.The purpose of this studywas to identify areas conducive to the incorporation of green landscapes into urban planning within the Sèmè-PodjiDistrict.The approach used involved amulti-criteria analysis leveraging a combinedGIS andAnalyticHierarchy Process(AHP)framework.Six key factorswere considered:land use,elevation,slope,distance tomajor roads,proximity to urban hubs,and separation from flood-prone zones and water bodies.These were analyzed using the“Spatial Analysis”feature of ArcGIS to create a map highlighting areas suitable for the development of green spaces.The findings reveal that a substantial portion of land,approximately 44.77%,is highly favorable,and 20.88%suitable for landscaping in this district.The weighting of factors combined in this analysis reveals a 21%importance for land use and elevation,while distance from separation from floodprone zones is given a weight of 18%.Distance to major roads and proximity to urban hubs are weighted at 15%,against 12%for the slope factor.This information provides guidance to decision-makers in selecting suitable sites for green spaces and their integration into the land management of Sèmè-Podji District.The results of this study also provide a scientific basis for addressing similar concerns in other cities.
文摘Additive manufacturing(AM)is a widely applied manufacturing paradigm used for the layer-by-layer fabrica-tion of desired components and objects,especially for those with highly intricate geometry.Extrusion-based AM,which is a subcategory of AM processing technologies,is characterized by the facilitation of controlled and successive deposition of feedstock AM materials through the nozzles of printer heads onto a print bed.Extrusion-based AM processing enables design freedom but offers cost efficiency and process simplicity when compared to other AM categories i.e.liquid-and powder-based AM technologies.The extrusion-based AM process has become increasingly widespread over the last two decades because of the expanding material options that can be used in this technology,and its capacity to be hybridised through the addition of multiple printheads or incorpora-tion into a secondary manufacturing system.Despite the promising aspects of the extrusion-based AM process,increasing demands for customised extrusion-based printed products and an expanding range of extrusion-based AM materials create both material-and process-related challenges that limit the suitability of extrusion-based AM processes for some specific applications.Consequently,the principal objective of this review paper is to conduct a suitability analysis of extrusion-based AM processes.The suitability analysis follows a review and discussion about the extrusion-based AM process,and an assessment of easy-and hard-to-print extrusion-based AM mate-rials.This paper,therefore,provides a comprehensive suitability analysis of each extrusion-based AM process while also providing some promising ideas for improving their current suitability levels.The findings and ratings reported in this paper importantly offers viewpoints that would support better futuristic comparisons between developed and developing extrusion-based AM processes,especially as businesses look to adopt the right AM solutions.
基金Open access funding provided by Norwegian University of Life Sciences。
文摘Forest degradation induced by intensive forest management and temperature increase by climate change are resulting in biodiversity decline in boreal forests.Intensive forest management and high-end climate emission scenarios can further reduce the amount and diversity of deadwood,the limiting factor for habitats for saproxylic species in European boreal forests.The magnitude of their combined effects and how changes in forest management can affect deadwood diversity under a range of climate change scenarios are poorly understood.We used forest growth simulations to evaluate how forest management and climate change will individually and jointly affect habitats of red-listed saproxylic species in Finland.We simulated seven forest management regimes and three climate scenarios(reference,RCP4.5 and RCP8.5)over 100 years.Management regimes included set aside,continuous cover forestry,business-as-usual(BAU)and four modifications of BAU.Habitat suitability was assessed using a speciesspecific habitat suitability index,including 21 fungal and invertebrate species groups.“Winner”and“loser”species were identified based on the modelled impacts of forest management and climate change on their habitat suitability.We found that forest management had a major impact on habitat suitability of saproxylic species compared to climate change.Habitat suitability index varied by over 250%among management regimes,while overall change in habitat suitability index caused by climate change was on average only 2%.More species groups were identified as winners than losers from impacts of climate change(52%–95%were winners,depending on the climate change scenario and management regime).The largest increase in habitat suitability index was achieved under set aside(254%)and the climate scenario RCP8.5(>2%),while continuous cover forestry was the most suitable regime to increase habitat suitability of saproxylic species(up to+11%)across all climate change scenarios.Our results show that close-to-nature management regimes(e.g.,continuous cover forestry and set aside)can increase the habitat suitability of many saproxylic boreal species more than the basic business-as-usual regime.This suggests that biodiversity loss of many saproxylic species in boreal forests can be mitigated through improved forest management practices,even as climate change progresses.
基金Under the auspices of the Natural Science Foundation of Xinjiang Uygur Autonomous Region(No.2022D01C372)National Natural Science Foundation of China(No.42261041)+1 种基金Major Key Programs of Philosophy and Social Sciences in Xinjiang University(No.22APY016)Xinjiang Uygur Autonomous Region Federation of Social Sciences Project Key Project(No.2023ZJFLW10)。
文摘Ice and snow tourism in China has grown significantly since the country successfully hosted the Beijing Winter Olympics.Climatic conditions profoundly impact the development of ice and snow tourism;however,most studies have focused on constructing different climate suitability indicators for ice and snow tourism to evaluate individual regions,lacking horizontal comparative studies across multiple regions.This study aims to enrich the connotation of climate suitability for ice and snow sports,establish an evaluation model based on snowfall amount,temperature,and wind speed,and use daily meteorological data from 1991 to 2021 to horizontally compare the climate suitability for ice and snow sports in major ski tourism destinations in China.This study boasts four major findings:1)the average ice and snow sports climate index of each region decreases over time,and the overall suitability of the climate for ice and snow sports is reducing;2)northern Xinjiang exhibits the most evident regional differentiation from‘very suitable’to‘generally suitable’;3)the spatial zoning of climate suitability for ice and snow sports exhibits heterogeneity,as northern Xinjiang is divided into two‘suitable and above’zones with rotating empirical orthogonal function(REOF).Correspondingly,the four provinces of Hebei,Heilongjiang,Jilin,and Liaoning are divided into three‘generally suitable and above’zones;4)snowfall amount is the main factor affecting the climate suitability of ice and snow sports in the major ski tourist destinations in China.
基金Sponsored by the Innovation and Entrepreneurship Training Program for College Students in 2024:Research on the Optimization of Spatial Distribution of Material Cultural Heritage in the Tonghui River Corridor of Beijing.
文摘This paper focuses on the Shichahai area of Beijing to assess the walking suitability of its coastal and surrounding streets.Shichahai area,covering an area of about 302 hm^(2),is an important historical and cultural protection zone in Beijing,with rich historical and cultural heritage and modern urban activities.This paper uses literature analysis,field research and Baidu Street View map data to construct an evaluation system of three first-level indicators,including space safety,walking comfort and landscape enrichment,and determines the weight of each indicator by expert scoring method.The street is evaluated and analyzed by means of statistical analysis.In order to improve the walking environment of Shichahai area,it is suggested to monitor and manage street hygiene,replant vegetation to improve the green coverage rate and landscape richness,and optimize the walking space design to ensure the safety and comfort of pedestrians.These measures aim to balance historical preservation with modern needs and promote the protection and development of historical and cultural districts.
文摘Bangladesh, situated in tropical and subtropical regions, receives significant amount of solar energy, making it an ideal location for solar energy production. However, determining suitable sites in the country for solar based power plant establishment turns out to be a difficult task given its dense population. This study aims to the identification of such a potential site by assessing the stability of the Jamuna river Island to be proposed as a site for developing solar based power plant. The research concentrates on Fulchhari union of Gaibandha district, one of the three major islands in the Jamuna river, utilizing two GIS-based multi-criteria decision-making (MCDM) techniques. One is Digital Shoreline Analysis System (DSAS) for stability analysis, and another is Analytical Hierarchy Process (AHP) for suitability evaluation. For the stability analysis of the island, Landsat satellite imagery of 1990, 1995, 2000, 2005, 2010, 2015 and 2020 covering a long term of 30 years period were investigated. Based on average change rates, the bankline of the island was divided into 2 accretion zones in the south and south-eastern direction, and 8 erosion zones. Along with the bankline changes, climatological, geomorphological, and environmental factors have been adopted to modeling process for suitability analysis. The optimal locations for solar based power plants have been demonstrated by a suitability map, where high and standard potential area is about 60% of the area of Fulchhari union. Production may be enhanced up to 5 times more with the consideration of utilizing the moderate optimum zone.
基金supported in part by The International Joint Laboratory on Tropical Diseases Control in the Greater Mekong Subregion fund(21410750200)the Science and Technology Commission of Shanghai,China and The Science and Technology Innovation Project fund of the School of Global Health,Shanghai Jiao Tong University School of Medicine(SGHKJCX2021-05,SGHKJCX2021-04),China.
文摘Haemaphysalis ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming,the third largest island in China.To understand the distribution of these ticks and determine their potential invasion risk,this study aimed to identify the habitat suitability of the dominant tick H.flava based on natural environmental factors.Geographic information system(GIS)images were combined with sample points from tick investigations to map the spatial distribution of H.flava.Data on 19 bioclimatic variables,environmental variables,and satellite-based landscapes of Chongming Island were retrieved to create a landcover map related to natural environmental determinants of H.flava.These data included 38 sites associated with the vectors to construct species distribution models with MaxEnt,a model based on the maximum entropy principle,and to predict habitat suitability for H.flava on Chongming Island in 2050 and 2070 under different climate scenarios.The model performed well in predicting the H.flava distribution,with a training area under the curve of 0.84 and a test area under the curve of 0.73.A habitat suitability map of the whole study area was created for H.flava.The resulting map and natural environment analysis highlighted the importance of the normalized difference vegetation index and precipitation in the driest month for the bioecology of H.flava,with 141.61 km^(2)(11.77%),282.94 km^(2)(23.35%),and 405.30 km^(2)(33.69%)of highly,moderately,and poorly suitable habitats,respectively.The distribution decreased by 135.55 km^(2) and 138.82 km^(2) in 2050 and 2070,respectively,under the shared socioeconomic pathway(SSP)1.2.6 climate change scenario.However,under SSP 5.8.5,the total area will decrease by 128.5 km^(2) in 2050 and increase by 151.64 km^(2) in 2070.From a One Health perspective,this study provides good knowledge that will guide tick control efforts to prevent the spread of Haemaphysalis ticks or transmission risk of Haemaphysalis-borne infections at the human-animal-environment interface on the island.
文摘Themain purpose of this work is to propose amethodology that considers themulticriteria andmulti-actor aspects for assessing land suitability for agriculture.This involves offering a group spatial decision-making approach.The members of a multidisciplinary team can decide on the relative importance of the criteria and the ranking of alternatives.Each member provides his judgment and contributes in a distinct and identifiable manner to find a compromise solution.Twelve criteria(easily available water reserve,cation exchange capacity,electric conductivity,potential of hydrogen(pH),drainage,permeability,active limestone,soil texture,soil useful depth,slopes,labor availability,and proximity to roads)grouped into four factors(agronomy,planning and socio-economy,land enhancement and improvement,conservation of soils and environmental protection)were selected in this study.The methodology consists of calculating the initial criteria weights using the AHP method.The final weights are obtained using the Consensual Convergence Model(CCM),and the decision-maker’s performance is aggregated using the ELECTRE Tri method.All the required processing methods were integrated into a GIS environment.The methodological developments were motivated by an application to the suitability of land for durum wheat cultivation in a study area in Mleta,Algeria,which is comprised of 74 land units.Every criterion was classified from the best to the poor based on its values and used for assessing land suitability for agriculture.The land units were assigned to different predefined classes.The final results are presented as a map produced according to the optimistic procedure of ELECTRE Tri.The greatest contribution of this research lies in integrating group decisionmaking in multicriteria spatial decisions,particularly the land suitability for agriculture,which has never been previously addressed.The consistency of the obtained map confirms the methods’effectiveness.
