Exploring social-ecological impacts on trade-offs and synergies among ecosystem services

生态系统服务 生态系统 生态学 环境资源管理 分水岭 人口 环境科学 生物 计算机科学 人口学 机器学习 社会学
作者
Xiaoyu Wang,Jian Peng,Yuhang Luo,Sijing Qiu,Jianquan Dong,Zimo Zhang,Kim Vercruysse,Robert Grabowski,Jeroen Meersmans
出处
期刊:Ecological Economics [Elsevier]
卷期号:197: 107438-107438 被引量:42
标识
DOI:10.1016/j.ecolecon.2022.107438
摘要

An in-depth understanding of the complex patterns of ecosystem services (ESs) interactions (i.e., synergies or trade-offs) based on social-ecological conditions is an important prerequisite for achieving sustainable and multifunctional landscapes. This study aimed to explore how ESs interactions are influenced by social-ecological factors. Taking the Sutlej-Beas River Basin as a case study area, where the linkages between ESs interactions and social-ecological processes are poorly understood, ESs interactions were identified through principal component analysis and correlated with a range of social-ecological factors, which were explored spatially based on ES bundles. The results revealed two dominant types of ESs interactions, namely multifunctionality-related synergies and grain production-related trade-offs. Population, nighttime light, precipitation, temperature, and soil clay content were all positively correlated with the two ESs interactions. Contrarily, elevation and soil sand content were negatively correlated with the two ESs interactions. Four main ES bundles were identified, which spatially describe the presence of ESs synergies and/or trade-offs in relation to social-ecological factors. This study provides a feasible way to explore the spatial differentiation and influencing factors impacting the interactions between ESs, which can provide a basis for an integrated watershed-based management of ESs.

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
刚刚
刚刚
自由的大叔完成签到 ,获得积分10
刚刚
嗒嗒完成签到,获得积分10
1秒前
鱼瓜强发布了新的文献求助10
1秒前
1秒前
月亮发布了新的文献求助10
1秒前
NexusExplorer应助jli1856采纳,获得10
2秒前
2秒前
七里香完成签到 ,获得积分10
2秒前
陶醉的幻然完成签到,获得积分10
2秒前
3秒前
寻道图强应助芬芬采纳,获得150
3秒前
orixero应助PanLi采纳,获得10
4秒前
4秒前
安详霸完成签到,获得积分20
5秒前
Herrily发布了新的文献求助10
5秒前
搞怪的银耳汤完成签到,获得积分10
5秒前
qianyi关注了科研通微信公众号
5秒前
5秒前
lin完成签到 ,获得积分10
6秒前
能干蜜蜂发布了新的文献求助10
7秒前
TianBa123完成签到,获得积分20
7秒前
马儿饿了要吃草完成签到,获得积分10
8秒前
zhouzhou完成签到,获得积分10
8秒前
9秒前
9秒前
9秒前
Theodore发布了新的文献求助100
9秒前
152894完成签到,获得积分10
11秒前
科研通AI6.2应助椰子泡芙采纳,获得10
12秒前
久念完成签到,获得积分10
12秒前
Smith发布了新的文献求助30
12秒前
小皮发布了新的文献求助10
13秒前
jksadjiw发布了新的文献求助10
13秒前
充电宝应助zhehuai采纳,获得10
13秒前
14秒前
Lucas应助YMP采纳,获得10
14秒前
久念发布了新的文献求助10
15秒前
15秒前
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
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Psychology and Work Today 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Kinesiophobia : a new view of chronic pain behavior 600
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5896344
求助须知:如何正确求助?哪些是违规求助? 6710025
关于积分的说明 15733926
捐赠科研通 5018814
什么是DOI,文献DOI怎么找? 2702703
邀请新用户注册赠送积分活动 1649487
关于科研通互助平台的介绍 1598601