The Effect of Forest Growth Rate on Climate Change Impacts of Logging Residue Utilization

Author:

Gan Xiaofan1ORCID,Guo Bingqian1,Ma Zemeng1ORCID,Fang Mingjie1,Yan Yan23,Liu Weiguo13

Affiliation:

1. Center for Ecological Forecasting and Global Change, College of Forestry, Northwest Agriculture and Forestry University, Yangling 712100, China

2. College of Forestry, Northwest Agriculture and Forestry University, Yangling 712100, China

3. Qinling National Forest Ecosystem Research Station, Yangling 712100, China

Abstract

Biofuel is encouraged because of its low impact on climate change. A new framework was developed to accurately assess the climate change impacts (CCI) of biofuel by integrating the atmospheric carbon cycle model and vegetation carbon dynamic models. Forests with different growth rates (fast, medium, slow) and three collection intensities (71%, 52%, 32%) of logging residues were presumed to test the performance of this framework. The CCI of biofuel was analyzed under two functional units: 1 GJ of biofuels and 1 ha of forests to supply biofuels. According to this study, increasing the forest growth rate could decrease the CCI in both functional units. Increasing the collection intensity could decrease the CCI of 1 GJ of biofuel but increase the CCI of 1 ha of forest land (unless the impacts were negative in fast-growth forests with high and medium collection intensities). Producing bioethanol resulted in a lower CCI (−3.1–67.7 kg CO2 eq/GJ) compared to bio-diesel (29.3–94.7 kg CO2 eq/GJ). Hence, collecting all available logging residues (without inhibiting forest regrowth) to produce low CCI biofuels such as bioethanol was found to be the optimal option for achieving high mitigation effects.

Funder

Young Scientists Fund of the National Natural Science Foun-dation of China

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference57 articles.

1. Core Writing Team, Lee, H., and Romero, J. (2023). Climate Change 2023: Synthesis Report. A Report of the Intergovernmental Panel on Climate Change, IPCC. in press.

2. Global Carbon Budget 2021;Friedlingstein;Earth Syst. Sci. Data,2022

3. UNFCCC (2015, January 12). Paris Agreement. Proceedings of the Paris Climate Change Conference, Paris, France.

4. Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., and Gomis, M.I. (2021). Climate Change 2021: The Physical Science Basis, Cambridge University Press.

5. UN Department of Economic and Social Affairs (2015). The 2030 Agenda for Sustainable Development, UN Department of Economic and Social Affairs.

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