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基于自组织映射神经网络的淮河流域生态系统服务簇时空变化特征

Spatio-temporal variations of ecosystem service bundles in Huaihe River Basin based on SOFM
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摘要 生态系统服务簇的识别是区域生态系统服务管理与优化的关键。量化了2000、2010、2020年淮河流域产水量(WY),水源涵养(WC),土壤保持(SC),生境质量(HQ),水质净化(WP),净初级生产力(NPP)和碳储量(CS)7种生态系统服务。并基于自组织映射神经网络(SOFM)识别了生态系统服务簇,探讨了生态系统服务簇的时空变化特征。结果表明:(1)2000—2020年,WP,NPP与WC呈上升趋势,WC的增幅最大;CS与HQ呈下降趋势。淮河流域各生态系统服务具有时空异质性,生态系统服务高值区多位于西南部山区与东北部丘陵山地地区。(2)识别了5个生态系统服务簇:核心生态服务簇,WP服务簇,WY服务簇,NPP服务簇与生态过渡服务簇。核心生态服务簇与生态过渡服务簇的面积总体增加,流域西南部山区与东北部丘陵山地地区生态系统服务提升,2000—2020年,WY服务簇与NPP服务簇间的转移面积较大,WY服务簇面积减少达60.09%,NPP服务簇面积显著增加,2020年占整个流域面积的57.02%。研究结果不仅有助于清晰认识淮河流域生态系统服务簇的空间分布格局及动态变化,也为探索淮河流域可持续的生态系统管理与规划决策奠定了基础。 The identification of ecosystem service bundles is the key to the management and optimization of regional ecosystem services.This study quantified seven ecosystem services including water yield(WY),water conservation(WC),soil conservation(SC),habitat quality(HQ),water purification(WP),net primary productivity(NPP)and carbon storage(CS)in the Huaihe River Basin in 2000,2010 and 2020.Based on Self-Organizing Feature Map,ecosystem service bundles are identified,and the spatio-temporal variations of ecosystem service bundles are discussed.The results show that:The land use type is primary cultivated land,accounting for 67.83%of the basin area in 2020,followed by build-up land area.From 2000 to 2020,the area of cultivated land,forest land and grassland all show a decreasing trend.The primary pattern of land use change is that the expansion of build-up land leads to the reduction of cultivated land area.From 2000 to 2020,WP,NPP and WC show an upward trend,and WC has the largest increase.CS and HQ showed a decreasing trend.The ecosystem services are spatiotemporal heterogeneity,and the high-value ecosystem services are mostly located in the mountainous areas of the southwest and the hilly areas of the northeast.The high value area of WY is widely distributed and affected by the spatial distribution pattern of rainfall.The high value area of NPP is mainly distributed in the southern mountainous area and the eastern coastal area,while the low value area is mainly distributed in the northwestern part of the basin and the northern hilly plain area of the southern mountainous area.The high value of SC is divided in the southern mountainous area and the northern hilly plain area of the southern mountainous area.Five ecosystem service bundles were identified:Key ecological bundle,WP bundle,WY bundle,NPP bundle and Ecological transition bundle.The area of Key ecological bundle and Ecological transition bundle has increased,and the ecosystem services in the mountainous areas in the southwest and hilly areas in the northeast have
作者 常耀文 吴迪 李欢 刘霞 王蕴鹏 郭家瑜 CHANG Yaowen;WU Di;LI Huan;LIU Xia;WANG Yunpeng;GUO Jiayu(Jiangsu Provincial Key Lab of Soil Erosion and Ecological Restoration,Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province,Forestry College of Nanjing Forestry University,Nanjing 210037,China;Huaihe River Basin Water and Soil Conservation Monitoring Center Station,Bengbu 233001,China)
出处 《生态学报》 CAS CSCD 北大核心 2024年第11期4544-4557,共14页 Acta Ecologica Sinica
基金 国家自然科学基金项目(32071840) 国家重点研发计划子课题(2018YFC0507005)。
关键词 生态系统服务 自组织映射神经网络(SOFM) 生态系统服务簇 淮河流域 InVEST模型 ecosystem service self-organizing feature map(SOFM) ecosystem service bundle Huaihe River Basin InVEST model
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