Literature DB >> 28988094

Integrate carbon dynamic models in analyzing carbon sequestration impact of forest biomass harvest.

Yan Yan1.   

Abstract

Biomass is an attractive natural energy resource for mitigating climate change. However, the loss of carbon sequestration as an ecosystem service due to biomass harvest has not been considered in previous studies. To assess the impact of biomass harvest on carbon sequestration, carbon dynamics in the forests and the atmosphere were integrated. The impact of forest biomass harvests on carbon sequestration was assessed based on the difference between carbon sequestration after harvest and carbon sequestration without harvest. A Chapman-Richards function and the forest vegetation simulator (FVS) were used to simulate the growth of a forest stand. The carbon dynamics in the atmosphere were simulated by the Bern2.5CC carbon cycle model. Characterization factors of the impact were calculated in three time horizons: 20-, 100- and 500-year. According to the simulations, postponement of harvest and low harvest intensity could prolong the compensation period. The annual impact on carbon sequestration was mostly negative over a short time and became positive in the end of compensation period. The highest characteristic factors of the impact on carbon sequestration were found in rotation length of 100years with the time horizon of 500-year in the Chapman-Richards simulation and in the lowest harvest intensity with the time horizon of 500-year in the FVS simulation. Based on the results, increasing growth rate, postponing harvest, reducing harvest intensity and increasing length of time horizon could reduce the impact of forest harvest on carbon sequestration. The method proposed in this study is more proper to assess the impact on carbon sequestration, and it has much wider applications in forest management practice.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomass; Carbon dynamics; Carbon sequestration; Ecosystem service; Forest harvest; Life cycle assessment

Mesh:

Substances:

Year:  2017        PMID: 28988094     DOI: 10.1016/j.scitotenv.2017.09.326

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


  2 in total

1.  Towards integrating the ecosystem services cascade framework within the Life Cycle Assessment (LCA) cause-effect methodology.

Authors:  Benedetto Rugani; Danielle Maia de Souza; Bo P Weidema; Jane Bare; Bhavik Bakshi; Blane Grann; John M Johnston; Ana Laura Raymundo Pavan; Xinyu Liu; Alexis Laurent; Francesca Verones
Journal:  Sci Total Environ       Date:  2019-07-05       Impact factor: 7.963

2.  Forest Transitions in the United States, France and Austria: dynamics of forest change and their socio- metabolic drivers.

Authors:  Simone Gingrich; Andreas Magerl; Sarah Matej; Julia Le Noë
Journal:  J Land Use Sci       Date:  2022-01-05
  2 in total

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