[Analysis of Spatial Distribution of Ecosystem Services and Driving Factors in Northeast China].

Q2 Environmental Science
Jia-Qi Wang, Yan-Qiu Xing, Xiao-Qing Chang, Hong Yang
{"title":"[Analysis of Spatial Distribution of Ecosystem Services and Driving Factors in Northeast China].","authors":"Jia-Qi Wang, Yan-Qiu Xing, Xiao-Qing Chang, Hong Yang","doi":"10.13227/j.hjkx.202311022","DOIUrl":null,"url":null,"abstract":"<p><p>Northeast China is an important ecological barrier in China, and an in-depth understanding of the spatial distribution in ecosystem services (ESs), and the driving factors is crucial for realizing the subsequent management and protection of ESs. In the study, we quantitatively assessed the characteristics of spatial distribution in ESs in Northeastern China using the InVEST, RWEQ, and RUSLE models and identified the driving factors of ESs spatial distribution in conjunction with the geodetector based on meteorological data, remote sensing data, and socio-economic data. The results showed that the spatial distribution of ESs in Northeast China had obvious spatial heterogeneity. The high values of habitat quality (HQ), carbon sequestration (CS) services, and soil conservation (SC) services were mainly distributed in the northern part of the four eastern leagues of the Inner Mongolia Autonomous Region, the northern part of Heilongjiang Province, and the eastern part of Northeast China, which were high in fraction vegetation cover, and low values were mainly found in southwestern and eastern Heilongjiang Province, western Jilin Province, and western Liaoning Province. The high values of the water yield (WY) service and wind prevention and sand fixation (WPSF) service were distributed in the east of the Inner Mongolia Autonomous Region and the east of Liaoning Province. The high values of WY services and WPSF services were distributed in the eastern part of Northeast China and the four eastern provinces of the Inner Mongolia Autonomous Region. According to the geodetector results, slope had the strongest explanatory power for the spatial distribution of SC services with a <i>q</i>-value of 0.31, land use/cover change had the strongest explanatory power for the spatial distribution of HQ and CS services with <i>q</i>-values of 0.64 and 0.52, respectively, and fraction vegetation coverage and annual precipitation had the strongest explanatory power for the spatial distribution of WPSF and WY services with <i>q</i>-values of 0.24 and 0.64, respectively, and there were interactions among all the driving factors. The spatial distribution of ESs in Northeast China was mainly influenced by natural factors. The results will provide a scientific basis for subsequent management and enhancement of ESs in Northeast China.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"45 9","pages":"5385-5394"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202311022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

Abstract

Northeast China is an important ecological barrier in China, and an in-depth understanding of the spatial distribution in ecosystem services (ESs), and the driving factors is crucial for realizing the subsequent management and protection of ESs. In the study, we quantitatively assessed the characteristics of spatial distribution in ESs in Northeastern China using the InVEST, RWEQ, and RUSLE models and identified the driving factors of ESs spatial distribution in conjunction with the geodetector based on meteorological data, remote sensing data, and socio-economic data. The results showed that the spatial distribution of ESs in Northeast China had obvious spatial heterogeneity. The high values of habitat quality (HQ), carbon sequestration (CS) services, and soil conservation (SC) services were mainly distributed in the northern part of the four eastern leagues of the Inner Mongolia Autonomous Region, the northern part of Heilongjiang Province, and the eastern part of Northeast China, which were high in fraction vegetation cover, and low values were mainly found in southwestern and eastern Heilongjiang Province, western Jilin Province, and western Liaoning Province. The high values of the water yield (WY) service and wind prevention and sand fixation (WPSF) service were distributed in the east of the Inner Mongolia Autonomous Region and the east of Liaoning Province. The high values of WY services and WPSF services were distributed in the eastern part of Northeast China and the four eastern provinces of the Inner Mongolia Autonomous Region. According to the geodetector results, slope had the strongest explanatory power for the spatial distribution of SC services with a q-value of 0.31, land use/cover change had the strongest explanatory power for the spatial distribution of HQ and CS services with q-values of 0.64 and 0.52, respectively, and fraction vegetation coverage and annual precipitation had the strongest explanatory power for the spatial distribution of WPSF and WY services with q-values of 0.24 and 0.64, respectively, and there were interactions among all the driving factors. The spatial distribution of ESs in Northeast China was mainly influenced by natural factors. The results will provide a scientific basis for subsequent management and enhancement of ESs in Northeast China.

[中国东北地区生态系统服务空间分布及驱动因素分析]。
东北地区是我国重要的生态屏障,深入了解东北地区生态系统服务(ESs)的空间分布及其驱动因子对于实现后续的生态系统服务管理和保护至关重要。本研究利用 InVEST、RWEQ 和 RUSLE 模型对东北地区生态系统服务空间分布特征进行了定量评估,并基于气象数据、遥感数据和社会经济数据,结合地理探测仪识别了生态系统服务空间分布的驱动因子。结果表明,东北地区ES空间分布具有明显的空间异质性。栖息地质量(HQ)、碳固存(CS)服务和土壤保持(SC)服务主要分布在内蒙古自治区东部四盟北部、黑龙江省北部和东北地区东部,这些地区植被覆盖率较高,而低值主要分布在黑龙江省西南部和东部、吉林省西部和辽宁省西部。高产水量(WY)服务和防风固沙(WPSF)分布在内蒙古自治区东部和辽宁省东部。WY服务和WPSF服务的高值分布在东北地区东部和内蒙古自治区东部四省。地理探测结果表明,坡度对SC服务空间分布的解释力最强,q值为0.31;土地利用/覆盖变化对HQ和CS服务空间分布的解释力最强,q值分别为0.64和0.52;植被覆盖率分数和年降水量对WPSF和WY服务空间分布的解释力最强,q值分别为0.24和0.64;各驱动因子之间存在交互作用。东北地区生态系统服务空间分布主要受自然因素的影响。研究结果将为东北地区ES的后续管理和提升提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
期刊介绍:
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信