Impacts of climate change and vegetation greening driven by natural and anthropogenic factors on carbon sink in Chinese Loess Plateau after ecological restoration

IF 5.7 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Yi Zhang , Zhihui Wang , Xiaogang Shi , Pengcheng Sun , Peiqing Xiao , Jiren Xu , Dongliang Shen
{"title":"Impacts of climate change and vegetation greening driven by natural and anthropogenic factors on carbon sink in Chinese Loess Plateau after ecological restoration","authors":"Yi Zhang ,&nbsp;Zhihui Wang ,&nbsp;Xiaogang Shi ,&nbsp;Pengcheng Sun ,&nbsp;Peiqing Xiao ,&nbsp;Jiren Xu ,&nbsp;Dongliang Shen","doi":"10.1016/j.catena.2025.109310","DOIUrl":null,"url":null,"abstract":"<div><div>The Loess Plateau (LP) has been recognized as a significant hotspot for vegetation greening in China since 2000. However, the influence of vegetation greening driven by various factors on carbon sinks in changing environments remains unclear due to the lack of high-precision datasets on carbon stock changes and effective attribution analysis methods. In this study, a time-series dataset of vegetation total carbon density (VTCD), soil organic carbon density (SOCD), and ecosystem total carbon density (ETCD) in the LP was estimated using a combination of multi-source data and machine learning algorithms. The impact of vegetation greening on carbon sinks was further decomposed by considering the effects of climate change and human activities on vegetation dynamics. Our findings indicate that the Extra Trees Regressor performs best in estimating VTCD (RMSE = 0.42 kgC m<sup>–2</sup>) and SOCD (RMSE = 2 kgC m<sup>–2</sup>). Across the entire landscape, the average carbon sequestration rate (CSR) is 37 gC·m<sup>–2</sup>·a<sup>–1</sup>, comprising 26 gC·m<sup>–2</sup>·a<sup>–1</sup> from soil and 11 gC·m<sup>–2</sup>·a<sup>–1</sup> from vegetation. The highest CSR is found in naturally restored forests (55.26 gC·m<sup>–2</sup>·a<sup>–1</sup>), followed by grassland converted to forest (G-F) at 50 gC·m<sup>–2</sup>·a<sup>–1</sup>, and cropland converted to forest and grassland (C-Fg) at 38.23 gC·m<sup>–2</sup>·a<sup>–1</sup>. Compared to natural recovery areas, human-induced restoration demonstrates a significant carbon sink benefit (70 %–303 %), exhibiting distinct spatial heterogeneity. The direct impact of climatic factors on carbon sinks is 3.44 gC·m<sup>–2</sup>·a<sup>–1</sup>, contributing 9.3 % to the overall carbon sink. Vegetation greening accounts for 83.4 % of the carbon sink, with contributions of 44.5 % from climate-driven natural recovery, 24.7 % from cultivation management, and 14.2 % from human-induced vegetation type change. Additionally, the positive impacts of other human activities (e.g., terracing, check dams) on carbon sinks should not be overlooked. This study provides new insights into the effects of climate change and human activities on carbon sinks in the Loess Plateau.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109310"},"PeriodicalIF":5.7000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816225006125","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The Loess Plateau (LP) has been recognized as a significant hotspot for vegetation greening in China since 2000. However, the influence of vegetation greening driven by various factors on carbon sinks in changing environments remains unclear due to the lack of high-precision datasets on carbon stock changes and effective attribution analysis methods. In this study, a time-series dataset of vegetation total carbon density (VTCD), soil organic carbon density (SOCD), and ecosystem total carbon density (ETCD) in the LP was estimated using a combination of multi-source data and machine learning algorithms. The impact of vegetation greening on carbon sinks was further decomposed by considering the effects of climate change and human activities on vegetation dynamics. Our findings indicate that the Extra Trees Regressor performs best in estimating VTCD (RMSE = 0.42 kgC m–2) and SOCD (RMSE = 2 kgC m–2). Across the entire landscape, the average carbon sequestration rate (CSR) is 37 gC·m–2·a–1, comprising 26 gC·m–2·a–1 from soil and 11 gC·m–2·a–1 from vegetation. The highest CSR is found in naturally restored forests (55.26 gC·m–2·a–1), followed by grassland converted to forest (G-F) at 50 gC·m–2·a–1, and cropland converted to forest and grassland (C-Fg) at 38.23 gC·m–2·a–1. Compared to natural recovery areas, human-induced restoration demonstrates a significant carbon sink benefit (70 %–303 %), exhibiting distinct spatial heterogeneity. The direct impact of climatic factors on carbon sinks is 3.44 gC·m–2·a–1, contributing 9.3 % to the overall carbon sink. Vegetation greening accounts for 83.4 % of the carbon sink, with contributions of 44.5 % from climate-driven natural recovery, 24.7 % from cultivation management, and 14.2 % from human-induced vegetation type change. Additionally, the positive impacts of other human activities (e.g., terracing, check dams) on carbon sinks should not be overlooked. This study provides new insights into the effects of climate change and human activities on carbon sinks in the Loess Plateau.
生态恢复后气候变化与自然与人为植被绿化对中国黄土高原碳汇的影响
自2000年以来,黄土高原已被公认为中国植被绿化的重要热点。然而,由于缺乏碳储量变化的高精度数据集和有效的归因分析方法,各种因素驱动的植被绿化对变化环境中碳汇的影响尚不清楚。本研究采用多源数据和机器学习算法相结合的方法,对低海拔地区植被总碳密度(VTCD)、土壤有机碳密度(SOCD)和生态系统总碳密度(ETCD)的时间序列数据进行了估算。考虑气候变化和人类活动对植被动态的影响,进一步分解植被绿化对碳汇的影响。我们的研究结果表明,Extra Trees regression在估计VTCD (RMSE = 0.42 kgC - 2)和SOCD (RMSE = 2 kgC - 2)方面表现最好。在整个景观中,平均固碳率(CSR)为37 gC·m-2·a-1,其中26 gC·m-2·a-1来自土壤,11 gC·m-2·a-1来自植被。自然恢复森林的CSR最高,为55.26 gC·m-2·a-1,其次是草地还林(G-F),为50 gC·m-2·a-1,农田还林还草(C-Fg)为38.23 gC·m-2·a-1。与自然恢复区相比,人为恢复区碳汇效益显著(70% ~ 303%),且具有明显的空间异质性。气候因子对碳汇的直接影响为3.44 gC·m-2·a-1,占总碳汇的9.3%。植被绿化占碳汇的83.4%,其中44.5%来自气候驱动的自然恢复,24.7%来自耕作管理,14.2%来自人为影响的植被类型变化。此外,其他人类活动(如梯田、拦水坝)对碳汇的积极影响也不应被忽视。该研究为气候变化和人类活动对黄土高原碳汇的影响提供了新的认识。
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
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
×
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:604180095
Book学术官方微信