Prediction and Transition of Vegetation Vulnerability in the Mara River Basin under Different Shared Socio-Economic Pathways (SSPs), East Africa

Author:

Zhu Wanyi12,Zhang Zhenke12,Feng Shouming12,Ren Hang3ORCID

Affiliation:

1. School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

2. Institute of African Studies, Nanjing University, Nanjing 210023, China

3. Institute of Population Studies, Nanjing University of Posts and Telecommunications, Nanjing 210042, China

Abstract

The Mara River basin (MRB) has a world-famous ecosystem, but the vegetation has been damaged due to economic development in recent years, and there is little known about the area that will experience severe vegetation damage in the future. Based on the vegetation vulnerability system, principal component analysis, and three Shared Socio-Economic Pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5), vegetation vulnerability was calculated for the base period (2010–2019), near future period (2020–2059) and distinct future period (2060–2099) in the MRB. The spatial cluster of vegetation vulnerability was revealed by spatial correlation analysis, and the transition of vegetation vulnerability of different periods was analyzed by stochastic matrix. The results showed that for all periods, the vulnerability showed a high–high cluster in the east, and a low–low cluster midstream and downstream. From the stochastic matrix, the area of high vulnerability increased the least under the SSP1-2.6, while it increased the most under the SSP5-8.5. The vegetation vulnerability upstream increased the most from the base period to the near future period and distinct future period in the MRB. By comparing the vegetation vulnerability under different scenarios and pointing out the areas with the highest vulnerability increase, this study can better provide comprehensive decision-making for vegetation protection in the MRB.

Funder

National Key R&D Program of China “Integrated Management for Sustainable Utilization of Water Resources in East Africa Great Lakes Basins”

Publisher

MDPI AG

Reference46 articles.

1. Global patterns of drought recovery;Schwalm;Nature,2017

2. Review of the evaluation methods of regional eco-environmental vulnerability;Zhang;Acta Ecol. Sin,2018

3. Disentangling the effects of climate and people on Sahel vegetation dynamics;Seaquist;Biogeosciences,2009

4. Ecological vulnerability assessment of a China’s representative mining city based on hyperspectral remote sensing;Dai;Ecol. Indic.,2022

5. Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change;Gonzalez;Glob. Ecol. Biogeogr.,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3