文献类型：期刊文献

英文题名：Effect of Climate on Carbon Storage Growth Models for Three Major Coniferous Plantations in China Based on National Forest Inventory Data

作者：Zhang, Lianjin[1] Lai, Guanghui[2] Zeng, Weisheng[3] Zou, Wentao[4] Yi, Shanjun[5]

通信作者：Zeng, WS[1]

机构：[1]Chinese Acad Forestry, Natl Permanent Sci Res Base Warm Temperate Zone F, Expt Ctr Forestry North China, Beijing 102300, Peoples R China;[2]Beijing Municipal Forestry Carbon Sinks & Int Coo, Beijing Municipal Forestry & Pk Planning & Resour, Beijing 100029, Peoples R China;[3]Natl Forestry & Grassland Adm, Acad Forestry Inventory & Planning, Beijing 100714, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forestry Policy & Informat, Beijing 100091, Peoples R China;[5]Natl Forestry & Grassland Adm, Planning & Design Inst Forest Prod Ind, Beijing 100010, Peoples R China

年份：2022

卷号：13

期号：6

外文期刊名：FORESTS

收录：;EI(收录号：20223012406265);Scopus(收录号：2-s2.0-85134594042);WOS:【SCI-EXPANDED(收录号:WOS:000816106900001)】；

基金：This research was funded by the National Science Foundation of China (Grant No. 31901309 and 31770676) and the Fundamental Research Funds for the Central Non-profit Research Institution of CAF (Grant No. CAFYBB2021ZK001).

语种：英文

外文关键词：carbon storage; carbon sequestration capacity; variable parameter; growth model; climatic factor

摘要：Forest inventory data (FID) are important resources for understanding the dynamics of forest carbon cycling at regional and global scales. Developing carbon storage growth models and analyzing the difference and climate effect on carbon sequestration capacity have a great importance in practice, which can provide a decision-making basis for promoting high-quality development of forestry and implementing the carbon emission peak and carbon neutralization strategy. Based on the carbon storage dataset of 2680 sample plots from the ninth national forest inventory (NFI) of China, the carbon storage growth models and climate-sensitive variable-parameter carbon storage growth models for three major coniferous plantations (Larix spp., Pinus massoniana, and Pinus tabuliformis) were developed by using weighted nonlinear regression method. The effects of two climate factors (mean annual temperature (MAT) and mean annual precipitation (MAP)) on carbon storage growth and carbon sequestration capacity were analyzed and compared. The mean prediction error (MPE) of carbon storage growth models for three major coniferous plantations was less than 5%, and total relative error (T RE) was approximately less than 2% for self- and cross- validation. The maximum current annual increment of carbon storage for P. massoniana, Larix, and P. tabuliformis was 2.29, 1.89, and 1.19 t/(ha.a), respectively, and their corresponding age of inflection point was 9a, 14a, and 30a, respectively. The maximum average increment of carbon storage for P. massoniana, Larix, and P. tabuliformis was 1.85, 1.50, and 0.94 t/(ha.a), respectively, and their corresponding age of quantitative maturity was 16a, 24a, and 53a, respectively. The maximum average increment of carbon storage for the P. massoniana and Larix plantations was approximately 1.97 and 1.60 times, respectively, that of P. tabuliformis plantation. The average increment of carbon storage for the P. massoniana and Larix plantations reduced approximately by 4.5% and 3.8%, respectively, when the MAT decreases by 1 degrees C. The average increment of carbon storage for the Larix and P. tabuliformis plantations decreased by approximately 6.5% and 3.6%, respectively, when the MAP decreases by 100 mm. Our findings suggest that: the carbon sequestration capacity is from highest to lowest in the P. massoniana, Larix, and P. tabuliformis forests. MAT and MAP have different effects on the carbon growth process and carbon sequestration capacity of these plantations. The greatest impact on carbon sequestration capacity was detected in the Larix plantation, followed by the P. massoniana and P. tabuliformis plantations. It is essential to coordinate regional development and employ scientific management strategies to fully develop the maximum carbon sequestration capacity in terms of plantations in China. In the present study, we estimate the carbon storage in major coniferous plantations in China and describe a useful methodology for estimating forest carbon storage at regional and global levels.