FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306362616> ?p ?o ?g. }

• W4306362616 abstract "PDF HTML阅读 XML下载 导出引用 引用提醒 基于MaxEnt模型的生态系统服务需求及其簇的空间分异——以陕西省米脂县为例 DOI: 10.5846/stxb202203270753 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金（42171256，41971271） Spatial differentiation of ecosystem services demand and its bundles based on MaxEnt model: A case study of Mizhi County, Shaanxi Province, China Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:从微观土地利用主体视角量化并明确生态系统服务需求的空间格局对于改善资源依赖地区农户福祉具有重要意义。以地处黄土丘陵沟壑区的米脂县为例，基于参与式制图与MaxEnt模型实现10类生态系统服务需求空间评估；同时，采用K-means聚类识别村域服务需求簇，并探究环境变量对服务需求及其簇空间分布的影响。结果如下：①各类服务需求空间分异明显。供给服务中粮食和肉类供给均呈现中部高东西低的空间格局，水果供给空间分布规律相反；调节服务中土壤保持和空气净化高需求区均分布于高海拔区域，水源涵养高需求区分布于无定河流域；4类文化服务均呈现高、中、低需求区相间分布的空间格局但各等级需求区面积占比差异明显。②研究区有食物供给需求簇、文化娱乐需求簇和生态保育需求簇等3类。其中，食物供给需求簇是当地主导的需求簇，主要分布在研究区北部和南部；文化娱乐需求簇主要集中在无定河两岸；生态保育需求簇在研究区南部紧邻文化娱乐需求簇，在北部则较为分散。③影响各类服务需求空间分布的主导环境因子各不相同；影响食物供给需求簇的环境变量排序为：土地利用 > 海拔 > 距水体距离，影响文化娱乐需求簇的环境变量排序为：距居民点距离 > 距水体距离 > 距旅游景点距离，影响生态保育需求簇的环境变量排序为：土地利用 > 距居民点距离 > 距水体距离。研究结果揭示了资源依赖地区农户生态系统服务需求及其簇的空间分异规律，可为该区域生态系统管理和政策制定提供参考。 Abstract:Quantifying and clarifying the spatial differentiation of ecosystem services demand from the perspective of micro-land use subjects is of great significance for improving the human well-being of farmers in resource-dependent areas. Taking Mizhi County in the loess hilly and gully region as a study area, we combined public participatory GIS and MaxEnt model to achieve spatial assessment of 10 ecosystem services demand. At the same time, K-means clustering was used to identify village ecosystem services demand bundles, and the impact of environmental variables on ecosystem services demand and its bundles spatial distribution was explored. The results were as follows:① The spatial differentiation of the ecosystem services demand was varied. In the provision service, grain supply and meat supply both showed a spatial differentiation of high in the middle and low in the east, and the spatial differentiation of fruit supply was the opposite. In the regulating service, the areas with high demand for soil conservation and air purification were distributed in high-altitude areas, and the areas with high demand for water conservation were distributed in the Wuding River Basin. Four types of cultural services all showed a spatial pattern of alternating distribution of high, medium and low demand areas, but the area proportions of demand areas at different levels varied significantly. ② Three types of ecosystem services demand bundles were identified using K-means clustering:including food supply demand bundle, the cultural entertainment demand bundle, and the ecological conservation demand bundle. Among them, food supply demand bundle was the dominant local ecosystem services demand bundles, mainly distributed in the north and south of the study area. The cultural entertainment demand bundle was mainly concentrated on both sides of the Wuding River. The ecological conservation demand bundle was in the south of the study area, next to the cultural entertainment demand bundle, and in the north was more dispersed. ③ The dominant environmental factors of the spatial differentiation of various ecosystem services demand were different. The environmental variables that affect the food supply demand bundle were ranked as:land use types> altitude> distance to the water body, the environmental variables that affect the cultural and entertainment demand bundle were ranked as:distance to the accommodation> distance to the water body> distance to the scenic spot, and the environmental variables that affect the ecological conservation demand bundle were ranked as:land use types>distance to the accommodation> distance to the water body. The research results revealed the spatial differentiation law of farmers' ecosystem services demand and its bundles in resource-dependent regions, which can provide references for ecosystem management and policy formulation in the region. 参考文献 相似文献 引证文献" @default.
• W4306362616 created "2022-10-17" @default.
• W4306362616 creator A5016582566 @default.
• W4306362616 date "2023-01-01" @default.
• W4306362616 modified "2023-09-26" @default.
• W4306362616 title "Spatial differentiation of ecosystem services demand and its bundles based on MaxEnt model: A case study of Mizhi county, Shaanxi province, China" @default.
• W4306362616 doi "https://doi.org/10.5846/stxb202203270753" @default.
• W4306362616 hasPublicationYear "2023" @default.
• W4306362616 type Work @default.
• W4306362616 citedByCount "0" @default.
• W4306362616 crossrefType "journal-article" @default.
• W4306362616 hasAuthorship W4306362616A5016582566 @default.
• W4306362616 hasBestOaLocation W43063626161 @default.
• W4306362616 hasConcept C107826830 @default.
• W4306362616 hasConcept C110872660 @default.
• W4306362616 hasConcept C120330832 @default.
• W4306362616 hasConcept C144133560 @default.
• W4306362616 hasConcept C158709400 @default.
• W4306362616 hasConcept C162324750 @default.
• W4306362616 hasConcept C162853370 @default.
• W4306362616 hasConcept C166957645 @default.
• W4306362616 hasConcept C173727882 @default.
• W4306362616 hasConcept C175444787 @default.
• W4306362616 hasConcept C18903297 @default.
• W4306362616 hasConcept C191935318 @default.
• W4306362616 hasConcept C205649164 @default.
• W4306362616 hasConcept C206345919 @default.
• W4306362616 hasConcept C2780378061 @default.
• W4306362616 hasConcept C31258907 @default.
• W4306362616 hasConcept C39432304 @default.
• W4306362616 hasConcept C41008148 @default.
• W4306362616 hasConcept C4792198 @default.
• W4306362616 hasConcept C58941895 @default.
• W4306362616 hasConcept C86803240 @default.
• W4306362616 hasConceptScore W4306362616C107826830 @default.
• W4306362616 hasConceptScore W4306362616C110872660 @default.
• W4306362616 hasConceptScore W4306362616C120330832 @default.
• W4306362616 hasConceptScore W4306362616C144133560 @default.
• W4306362616 hasConceptScore W4306362616C158709400 @default.
• W4306362616 hasConceptScore W4306362616C162324750 @default.
• W4306362616 hasConceptScore W4306362616C162853370 @default.
• W4306362616 hasConceptScore W4306362616C166957645 @default.
• W4306362616 hasConceptScore W4306362616C173727882 @default.
• W4306362616 hasConceptScore W4306362616C175444787 @default.
• W4306362616 hasConceptScore W4306362616C18903297 @default.
• W4306362616 hasConceptScore W4306362616C191935318 @default.
• W4306362616 hasConceptScore W4306362616C205649164 @default.
• W4306362616 hasConceptScore W4306362616C206345919 @default.
• W4306362616 hasConceptScore W4306362616C2780378061 @default.
• W4306362616 hasConceptScore W4306362616C31258907 @default.
• W4306362616 hasConceptScore W4306362616C39432304 @default.
• W4306362616 hasConceptScore W4306362616C41008148 @default.
• W4306362616 hasConceptScore W4306362616C4792198 @default.
• W4306362616 hasConceptScore W4306362616C58941895 @default.
• W4306362616 hasConceptScore W4306362616C86803240 @default.
• W4306362616 hasIssue "7" @default.
• W4306362616 hasLocation W43063626161 @default.
• W4306362616 hasOpenAccess W4306362616 @default.
• W4306362616 hasPrimaryLocation W43063626161 @default.
• W4306362616 hasRelatedWork W2349713602 @default.
• W4306362616 hasRelatedWork W2384345237 @default.
• W4306362616 hasRelatedWork W2606641646 @default.
• W4306362616 hasRelatedWork W2771550543 @default.
• W4306362616 hasRelatedWork W2966007975 @default.
• W4306362616 hasRelatedWork W4226379943 @default.
• W4306362616 hasRelatedWork W4288081041 @default.
• W4306362616 hasRelatedWork W4310344200 @default.
• W4306362616 hasRelatedWork W4311098639 @default.
• W4306362616 hasRelatedWork W4318676796 @default.
• W4306362616 hasVolume "43" @default.
• W4306362616 isParatext "false" @default.
• W4306362616 isRetracted "false" @default.
• W4306362616 workType "article" @default.