{"title":"中国黄河上游生态脆弱地区典型生态系统服务的时空特征及其对驱动因素的空间响应","authors":"Gui Liang, Fengman Fang, Yuesheng Lin, Zhiming Zhang","doi":"10.1007/s11769-024-1445-6","DOIUrl":null,"url":null,"abstract":"<p>The identification of dominant driving factors for different ecosystem services (ESs) is crucial for ecological conservation and sustainable development. However, the spatial heterogeneity of the dominant driving factors affecting various ESs has not been adequately elucidated, particularly in ecologically fragile regions. This study employed the integrated valuation of ESs and trade-offs (InVEST) model to evaluate four ESs, namely, water yield (WY), soil conservation (SC), habitat quality (HQ), and carbon storage (CS), and then to identify the dominant driving factors of spatiotemporal differentiation of ES and further to characterize the spatial heterogeneity characteristics of the dominant driving factors in the eco-fragile areas of the upper Yellow River, China from 2000 to 2020. The results demonstrated that WY exhibited northeast-high and northwest-low patterns in the upper Yellow River region, while high values of SC and CS were distributed in central forested areas and a high value of HQ was distributed in vast grassland areas. The CS, WY, and SC exhibited decreasing trends over time. The most critical factors affecting WY, SC, HQ, and CS were the actual evapotranspiration, precipitation, slope, and normalized difference vegetation index, respectively. In addition, the effects of different factors on various ESs exhibited spatial heterogeneity. These results could provide spatial decision support for eco-protection and rehabilitation in ecologically fragile areas.</p>","PeriodicalId":55258,"journal":{"name":"Chinese Geographical Science","volume":"34 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal Characteristics of Typical Ecosystem Services and Their Spatial Responses to Driving Factors in Ecologically Fragile Areas in Upper Yellow River, China\",\"authors\":\"Gui Liang, Fengman Fang, Yuesheng Lin, Zhiming Zhang\",\"doi\":\"10.1007/s11769-024-1445-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The identification of dominant driving factors for different ecosystem services (ESs) is crucial for ecological conservation and sustainable development. However, the spatial heterogeneity of the dominant driving factors affecting various ESs has not been adequately elucidated, particularly in ecologically fragile regions. This study employed the integrated valuation of ESs and trade-offs (InVEST) model to evaluate four ESs, namely, water yield (WY), soil conservation (SC), habitat quality (HQ), and carbon storage (CS), and then to identify the dominant driving factors of spatiotemporal differentiation of ES and further to characterize the spatial heterogeneity characteristics of the dominant driving factors in the eco-fragile areas of the upper Yellow River, China from 2000 to 2020. The results demonstrated that WY exhibited northeast-high and northwest-low patterns in the upper Yellow River region, while high values of SC and CS were distributed in central forested areas and a high value of HQ was distributed in vast grassland areas. The CS, WY, and SC exhibited decreasing trends over time. The most critical factors affecting WY, SC, HQ, and CS were the actual evapotranspiration, precipitation, slope, and normalized difference vegetation index, respectively. In addition, the effects of different factors on various ESs exhibited spatial heterogeneity. These results could provide spatial decision support for eco-protection and rehabilitation in ecologically fragile areas.</p>\",\"PeriodicalId\":55258,\"journal\":{\"name\":\"Chinese Geographical Science\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Geographical Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s11769-024-1445-6\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Geographical Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11769-024-1445-6","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatiotemporal Characteristics of Typical Ecosystem Services and Their Spatial Responses to Driving Factors in Ecologically Fragile Areas in Upper Yellow River, China
The identification of dominant driving factors for different ecosystem services (ESs) is crucial for ecological conservation and sustainable development. However, the spatial heterogeneity of the dominant driving factors affecting various ESs has not been adequately elucidated, particularly in ecologically fragile regions. This study employed the integrated valuation of ESs and trade-offs (InVEST) model to evaluate four ESs, namely, water yield (WY), soil conservation (SC), habitat quality (HQ), and carbon storage (CS), and then to identify the dominant driving factors of spatiotemporal differentiation of ES and further to characterize the spatial heterogeneity characteristics of the dominant driving factors in the eco-fragile areas of the upper Yellow River, China from 2000 to 2020. The results demonstrated that WY exhibited northeast-high and northwest-low patterns in the upper Yellow River region, while high values of SC and CS were distributed in central forested areas and a high value of HQ was distributed in vast grassland areas. The CS, WY, and SC exhibited decreasing trends over time. The most critical factors affecting WY, SC, HQ, and CS were the actual evapotranspiration, precipitation, slope, and normalized difference vegetation index, respectively. In addition, the effects of different factors on various ESs exhibited spatial heterogeneity. These results could provide spatial decision support for eco-protection and rehabilitation in ecologically fragile areas.
期刊介绍:
Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China.
Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.