Forest carbon sink in China: Linked drivers and long short-term memory network-based prediction
Authors:
- Chong XuCXChong Xu
- Bingjie WangBWBingjie Wang
- Jiandong ChenJCJiandong Chen
- 4 May 2022
- journal article
- research article
- Published by Elsevier in Journal of Cleaner Production
- Vol. 359
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and KoreaEnergy Policy, 2013
- Bias in the attribution of forest carbon sinksNature Climate Change, 2013
- Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approachEuropean Journal of Operational Research, 2012
- The spatial distribution of forest carbon sinks and sources in ChinaChinese Science Bulletin, 2012
- A Large and Persistent Carbon Sink in the World’s ForestsScience, 2011
- Estimation of provincial forest carbon sink capacities in Chinese mainlandChinese Science Bulletin, 2011
- Decomposing the change of CO2 emissions in China: A distance function approachEcological Economics, 2010
- Decomposition of aggregate CO2 emissions: A production-theoretical approachEnergy Economics, 2008
- Terrestrial vegetation carbon sinks in China, 1981–2000Science in China Series D: Earth Sciences, 2007
- Long Short-Term MemoryNeural Computation, 1997