Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Spatial–temporal pattern of vegetation carbon sequestration and its response to rocky desertification control measures in a karst area, in Guangxi Province, China

Bibliographic Data

ID21649499
AuthorsLei Wang (0000-0001-5326-565X, School of Soil and Water Conservation, Beijing Forestry University Beijing PR China), Xiuqin Wu (0000-0002-5177-4474, School of Soil and Water Conservation, Beijing Forestry University Beijing PR China), Jianbin Guo (0000-0002-7850-4570, School of Soil and Water Conservation, Beijing Forestry University Beijing PR China, corresponding author), Jinxing Zhou (0000-0003-2182-9849, School of Soil and Water Conservation, Beijing Forestry University Beijing PR China), Liang He (0000-0003-1523-067X, School of Soil and Water Conservation, Beijing Forestry University Beijing PR China)
Year2023
Volume34
Issue3
Pages665-681
Publication date2023-02-15
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4485
OpenAlexW4300167334
LanguageEN
Citations received1
References cited68

The terrestrial ecosystem in southwestern China has been a long‐term carbon sink, but its spatial–temporal pattern during the previous two decades and its response to karst rocky desertification control measures (KRDC) still merit further quantification, particularly where higher levels of carbon capture by vegetation are proposed in the context of a ‘carbon neutrality’ goal. Satellite datasets, field data from previous studies, and the geostatistical soil respiration model enabled a focus on the karst landscape in Guangxi Province in Southwest China, to probe the spatial–temporal pattern of the ability to capture carbon during 2001–2020 and assess its response to KRDC. The results showed that the interannual variation in the average net ecosystem productivity (NEP) exhibited a remarkable tendency to increase at a rate of 4.15 g C m −2 yr −1 ( p −2 yr −1 ). Furthermore, the closing mountains for afforestation is the most effective way to artificially increase the carbon sink. Quantifying vegetation ecosystem carbon sinks and sources in this study is highly significant for understanding regional carbon dynamics and guiding carbon capture policies to design and mitigate land degradation

Afforestation · Agroforestry · Carbon cycle · Carbon dioxide · Carbon sequestration · Carbon sink · Climate change · Desertification · Ecosystem · Geography · Karst · Physical geography · Primary production · Reforestation · Terrestrial ecosystem · Environmental Science · Hydrology and Watershed Management Studies · Plant Water Relations and Carbon Dynamics · Soil erosion and sediment transport · Ecology · Geology

  • Effect of Rocky Desertification Control on the Nonlinear Trends of Gross Primary Productivity in Southwest Karst Areas, China

    Open Access•Mingyang Zhang, Yu Chen et al.•Land Degradation and Development•2025

  • Challenges toward carbon neutrality in China

    Open Access•Xin Zhao, Xiaowei Ma et al.•Resources Conservation and…•2022

  • Rocky desertification in Southwest China

    Zhongcheng Jiang, Yanqing Lian et al.•Earth-Science Reviews•2014

  • Km monthly temperature and precipitation dataset for China from 1901 to 2017

    Open Access•Shouzhang Peng, Yongxia Ding et al.•Earth System Science Data•2019

  • The carbon balance of terrestrial ecosystems in China

    Open Access•Shilong Piao, Jingyun Fang et al.•Nature•2009

  • Coastal flooding by tropical cyclones and sea-level rise

    Open Access•Jonathan D Woodruff, Jennifer L Irish et al.•Nature•2013

  • Interannual variability of terrestrial net ecosystem productivity over China

    Open Access•Li Zhang, Xiaoli Ren et al.•Environmental Research Letters•2018

  • Divergent responses of soil organic carbon to afforestation

    Open Access•Songbai Hong, Guodong Yin et al.•Nature Sustainability•2020

  • Increased vegetation growth and carbon stock in China karst via ecological engineering

    Open Access•Xiaowei Tong, Martin Brandt et al.•Nature Sustainability•2018

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae