Assessment of ecosystem services in new perspective: A comprehensive ecosystem service index (CESI) as a proxy to integrate multiple ecosystem services

生态系统服务 聚类分析 计算机科学 空间分析 服务(商务) 索引(排版) 生态系统 环境资源管理 环境科学 数据挖掘 统计 生态学 数学 业务 人工智能 生物 万维网 营销
作者
Linlin Wu,Fenglei Fan
出处
期刊:Ecological Indicators [Elsevier]
卷期号:138: 108800-108800 被引量:22
标识
DOI:10.1016/j.ecolind.2022.108800
摘要

A comprehensive understanding of multiple ecosystem services (ES) across the landscape is a key highlight of ecosystem management. There still remain a weakness to integrate multiple ESs for mirroring the capability of the ecosystems to deliver services in a broad perspective. Here, we proposed a comprehensive ecosystem services index (CESI) for integrating multiple ESs based on multiplicative method. Water supply service, carbon storage service and soil conservation service were assessed using multi-sources remote sensing datasets and InVEST models to build CESI. To examine the suitability and performance of CESI, we took the Guangdong-Hongkong-Macao Greater Bay Areas (GBA) as a test region. Meanwhile, we applied two previous methods used commonly for assessing multiple ESs: i) cumulative method and ii) maximum value composite method to construct comparative indexes for evaluating the performance of CESI with the help of spatial autocorrelation method and regression analysis method from the spatial pattern and numerical distribution perspective. The results showed that the CESI was well applied in GBA and got rid of the limitation of single ES. The spatial pattern of CESI was observed a high-value clustering in central areas and a low-value clustering in outer regions. A comparison of CESI and comparative indexes were illustrated on the results of linear regression and spatial autocorrelation, which showed a good linear correlation between each method and a similar spatial pattern in a high-value clustering, but had subtle different in low-value clustering. Specifically, the performance of CESI in expressing the low-value clustering was better than other indexes which could indicate the multiplicative method benefits to manifest the lagging in the provision of ESs better than cumulative method and maximum value composite method. This study could pave a way for a new approach to evaluate the provision of multiple ESs from the socio-ecological systems with a comprehensive perspective.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yeah完成签到,获得积分20
2秒前
2222完成签到,获得积分10
4秒前
yummybacon完成签到,获得积分10
4秒前
风蓝完成签到,获得积分10
4秒前
青春发布了新的文献求助10
4秒前
我太复古关注了科研通微信公众号
8秒前
9秒前
宇麦达完成签到,获得积分10
9秒前
我是老大应助erniu采纳,获得10
12秒前
12秒前
丘比特应助青春采纳,获得10
15秒前
HEIKU应助辛勤的擎苍采纳,获得10
16秒前
英姑应助追寻绮玉采纳,获得10
16秒前
yanxiao完成签到,获得积分10
19秒前
CTT发布了新的文献求助10
25秒前
yuchuan完成签到 ,获得积分10
26秒前
土豪的雅柔完成签到,获得积分10
27秒前
Kishi完成签到,获得积分10
27秒前
小宋发布了新的文献求助10
28秒前
29秒前
CodeCraft应助科研通管家采纳,获得10
29秒前
思源应助科研通管家采纳,获得10
29秒前
上官若男应助科研通管家采纳,获得10
29秒前
Syn应助科研通管家采纳,获得10
29秒前
lv应助科研通管家采纳,获得10
30秒前
科研通AI2S应助科研通管家采纳,获得10
30秒前
慕青应助科研通管家采纳,获得30
30秒前
上官若男应助科研通管家采纳,获得30
30秒前
30秒前
30秒前
kk应助科研通管家采纳,获得10
30秒前
Lee2000完成签到,获得积分10
31秒前
博利完成签到,获得积分10
31秒前
32秒前
科研通AI2S应助欧阳静芙采纳,获得10
33秒前
Cool完成签到,获得积分10
34秒前
王小明完成签到 ,获得积分10
36秒前
41秒前
muyeliu2024发布了新的文献求助20
43秒前
CTT完成签到,获得积分20
48秒前
高分求助中
求助这个网站里的问题集 1000
Floxuridine; Third Edition 1000
Models of Teaching(The 10th Edition,第10版!)《教学模式》(第10版!) 800
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Nonlocal Integral Equation Continuum Models: Nonstandard Symmetric Interaction Neighborhoods and Finite Element Discretizations 500
Academic entitlement: Adapting the equity preference questionnaire for a university setting 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2871248
求助须知:如何正确求助?哪些是违规求助? 2479072
关于积分的说明 6718369
捐赠科研通 2165849
什么是DOI,文献DOI怎么找? 1150668
版权声明 585640
科研通“疑难数据库(出版商)”最低求助积分说明 564989