文献类型：期刊文献

英文题名：Improving a Process-Based Model to Simulate Forest Carbon Allocation under Varied Stand Density

作者：Jiao, Wenxing[1] Wang, Weifeng[1] Peng, Changhui[2,3] Lei, Xiangdong[4] Ruan, Honghua[1] Li, Haikui[4] Yang, Yanrong[1] Grabarnik, Pavel[5] Shanin, Vladimir[5]

第一作者：Jiao, Wenxing

通信作者：Wang, WF[1]

机构：[1]Nanjing Forestry Univ, Coll Biol & Environm, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China;[2]Univ Quebec Montreal, Inst Environm Sci, Dept Biol Sci, Montreal, PQ H3C 3P8, Canada;[3]Hunan Normal Univ, Coll Geog Sci, Changsha 410081, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[5]Russian Acad Sci, Pushchino Sci Ctr Biol Res, Inst Physicochem & Biol Problems Soil Sci, Pushchino 142290, Russia

年份：2022

卷号：13

期号：8

外文期刊名：FORESTS

收录：;EI(收录号：20223712730592);Scopus(收录号：2-s2.0-85137565521);WOS:【SCI-EXPANDED(收录号:WOS:000845953300001)】；

基金：This study was supported by the National Key Research and Development Program of China (grant no. 2021YFD2200404) and the National Natural Science Foundation of China (grant no: 31700555).

语种：英文

外文关键词：planting density; simulation model; carbon dynamics; above-ground biomass

摘要：Carbon allocation is an important mechanism through which plants respond to environmental changes. To enhance our understanding of maximizing carbon uptake by controlling planting densities, the carbon allocation module of a process-based model, TRIPLEX-Management, was modified and improved by introducing light, soil water, and soil nitrogen availability factors to quantify the allocation coefficients for different plant organs. The modified TRIPLEX-Management model simulation results were verified against observations from northern Jiangsu Province, China, and then the model was used to simulate dynamic changes in forest carbon under six density scenarios (200, 400, 600, 800, 1000, and 1200 stems ha(-1)). The mean absolute errors between the predicted and observed variables of the mean diameter at breast height, mean height, and estimated aboveground biomass ranged from 15.0% to 26.6%, and were lower compared with the original model simulated results, which ranged from 24.4% to 60.5%. The normalized root mean square errors ranged from 0.2 to 0.3, and were lower compared with the original model simulated results, which ranged from 0.3 to 0.6. The Willmott index between the predicted and observed variables also varied from 0.5 to 0.8, indicating that the modified TRIPLEX-Management model could accurately simulate the dynamic changes in poplar (Populus spp.) plantations with different densities in northern Jiangsu Province. The density scenario results showed that the leaf and fine root allocation coefficients decreased with the increase in stand density, while the stem allocation increased. Overall, our study showed that the optimum stand density (approximately 400 stems ha(-1)) could reach the highest aboveground biomass for poplar stands and soil organic carbon storage, leading to higher ecological functions related to carbon sequestration without sacrificing wood production in an economical way in northern Jiangsu Province. Therefore, reasonable density control with different soil and climate conditions should be recommended to maximize carbon sequestration.