Literature DB >> 28968577

Contribution of forests to the carbon sink via biologically-mediated silicate weathering: A case study of China.

Zhaoliang Song1, Hongyan Liu2, Caroline A E Strömberg3, Hailong Wang4, Peter James Strong5, Xiaomin Yang6, Yuntao Wu6.   

Abstract

During silicate weathering, atmospheric carbon dioxide (CO2) is consumed and base cations are released from silicate minerals to form carbonate and bicarbonate ions, which are finally deposited as carbonate complexes. Continental silicate weathering constitutes a stable carbon sink that is an important influence on long-term climate change, as it sequesters atmospheric carbon dioxide at a million-year time scale. Traditionally, CO2 sequestered through silicate weathering is estimated by measuring the flux of the base cations to watersheds. However, plants also absorb considerable amounts of base cations. Plant biomass is often removed from ecosystems during harvesting. The base cations are subsequently released after decomposition of the harvested plant materials, and thereby enhance CO2 consumption related to weathering. Here, we analyze plant biomass storage-harvest fluxes (production and removal of biomass from forests) of base cations in forests across China to quantify the relative contribution of forest trees to the terrestrial weathering-related carbon sink. Our data suggest that the potential CO2 consumption rate for biomass-related silicate weathering (from the combined action of with afforestation/reforestation, controlled harvesting and rock powder amendment) in Chinese forests is 7.9±4.1Tg CO2yr-1. This represents ~34% of the chemical weathering rate in China. Globally, forests may increase CO2 sequestration through biologically-mediated silicate weathering by ~32%.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bamboo; CO(2) consumption; China; Enhanced-silicate weathering; Forest

Year:  2017        PMID: 28968577     DOI: 10.1016/j.scitotenv.2017.09.253

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Neural networks in spatialization of meteorological elements and their application in the climatic agricultural zoning of bamboo.

Authors:  Lucas Eduardo de Oliveira Aparecido; José Reinaldo da Silva Cabral de Moraes; Glauco de Souza Rolim; Lucieta Guerreiro Martorano; Sabrina Dos Santos Soares; Kamila Cunha de Meneses; Cicero Teixeira Silva Costa; Daniel Zimmermann Mesquita; Aline Michelle da Silva Barbosa; Eufran Ferreira do Amaral; Nilson Gomes Bardales
Journal:  Int J Biometeorol       Date:  2018-08-18       Impact factor: 3.787

2.  Climate change and carbon sink: a bibliometric analysis.

Authors:  Li Huang; Ke Chen; Mi Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-07       Impact factor: 4.223

3.  Differences in weathering pattern, stress resistance and community structure of culturable rock-weathering bacteria between altered rocks and soils.

Authors:  Jun Xi; Meili Wei; Bikui Tang
Journal:  RSC Adv       Date:  2018-04-17       Impact factor: 3.361

4.  The effect of total factor productivity of forestry industry on CO2 emissions: a spatial econometric analysis of China.

Authors:  Shen Zhong; Hongli Wang
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.