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 营销 万维网
作者
Linlin Wu,Fenglei Fan
出处
期刊:Ecological Indicators [Elsevier BV]
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
鹤川完成签到 ,获得积分10
1秒前
雪落你看不见完成签到,获得积分10
2秒前
3秒前
yi完成签到 ,获得积分10
4秒前
4秒前
刘旺完成签到 ,获得积分10
6秒前
8秒前
9秒前
ran完成签到 ,获得积分10
11秒前
鱼遇发布了新的文献求助10
12秒前
稳重飞飞完成签到,获得积分10
12秒前
堂yt发布了新的文献求助30
13秒前
阿胡完成签到 ,获得积分10
13秒前
斐波拉切土豆完成签到 ,获得积分10
14秒前
香蕉觅云应助洁净半梦采纳,获得10
14秒前
TianFuAI完成签到,获得积分10
17秒前
2024完成签到,获得积分10
18秒前
大胆青曼完成签到 ,获得积分10
23秒前
111完成签到,获得积分10
25秒前
cc完成签到,获得积分10
30秒前
忧伤的心锁完成签到 ,获得积分10
30秒前
KEcd完成签到 ,获得积分10
30秒前
camelots完成签到,获得积分10
30秒前
33秒前
丘比特应助紫熊采纳,获得10
36秒前
团宝妞宝完成签到,获得积分10
39秒前
Kkkk完成签到 ,获得积分10
42秒前
gy发布了新的文献求助10
43秒前
请叫我小冰完成签到,获得积分10
44秒前
imine完成签到 ,获得积分10
45秒前
小张完成签到 ,获得积分10
52秒前
王静姝完成签到,获得积分10
52秒前
可爱元子完成签到 ,获得积分10
53秒前
爱吃香菜完成签到,获得积分10
53秒前
堂yt完成签到,获得积分20
53秒前
隐形曼青应助zhangsan采纳,获得10
57秒前
Rachel完成签到 ,获得积分10
58秒前
简奥斯汀完成签到 ,获得积分10
1分钟前
蓝莓芝士完成签到 ,获得积分10
1分钟前
lushanxihai完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Markov Chain Monte Carlo 5000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Lengua e imagen en la comunicación digital 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7484145
求助须知:如何正确求助?哪些是违规求助? 9076729
关于积分的说明 19355786
捐赠科研通 7099248
什么是DOI,文献DOI怎么找? 3248056
关于科研通互助平台的介绍 2417373
邀请新用户注册赠送积分活动 2233492