Effect of Climate on Carbon Storage Growth Models for Three Major Coniferous Plantations in China Based on National Forest Inventory Data
Effect of Climate on Carbon Storage Growth Models for Three Major Coniferous Plantations in China Based on National Forest Inventory Data
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基于国家森林清查数据的气候对中国三大针叶林碳储量增长模型的影响
DOI：
10.3390/f13060882
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发表时间：
2022-06
期刊：
影响因子：
2.9
通讯作者：
Shanjun Yi
中科院分区：
文献类型：
--
作者：
Lianjin Zhang;Guanghui Lai;Weisheng Zeng;Wentao Zou;Shanjun Yi
森林资源清查数据是了解区域和全球森林碳循环动态的重要资源。建立森林碳储量增长模型，分析森林固碳能力的差异和气候效应，对促进林业高质量发展、实施碳排放达峰和碳中和战略具有重要的现实意义。基于第九次全国森林资源清查（NFI）2680块样地的碳储量数据，建立了我国主要针叶林（落叶松、落叶松采用加权非线性回归方法，对马尾松、油松的人工林进行了优化。分析比较了年平均气温和年平均降水量两个气候因子对碳储量增长和固碳能力的影响。3种主要人工针叶林碳储量生长模型的平均预测误差（MPE）均小于5%，自验证和交叉验证的总相对误差（TRE）均小于2%。马尾松、落叶松和油松的最大碳储量年增量分别为2.29、1.89和1.19 t/（ha·a），对应的拐点年龄分别为9 a、14 a和30 a。马尾松、落叶松和油松的最大平均碳储量增量分别为1.85、1.50和0.94 t/（ha·a），相应的数量成熟龄分别为16 a、24 a和53 a。马尾松人工林和落叶松人工林碳储量的最大平均增量分别约为油松种植园的1.97倍和1.60倍。平均土壤温度每降低1 °C，马尾松和落叶松人工林碳储量的平均增量分别减少约4.5%和3.8%。MAP每减少100 mm，落叶松和油松人工林的碳储量增量分别减少6.5%和3.6%，说明马尾松林、落叶松林和油松林的固碳能力由高到低。MAT和MAP对这些人工林的碳增长过程和固碳能力有不同的影响。落叶松种植园对碳汇能力的影响最大，其次是马尾松和油松人工林。协调区域发展，采用科学的经营策略，充分发挥我国人工林的最大固碳能力是十分必要的。在本研究中，我们估计了中国主要针叶林的碳储量，并描述了一个有用的方法来估计森林碳储量在区域和全球水平。
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 (TRE) 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 °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.
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影响因子：
1.4
作者：
Oscar García
通讯作者：
Oscar García
DOI：
--
发表时间：
1997-01
期刊：
--
影响因子：
--
作者：
Luo QiBang;Zeng Weisheng;Peng Changqing
通讯作者：
Luo QiBang;Zeng Weisheng;Peng Changqing
影响因子：
11.4
作者：
Luo, Yunjian;Wang, Xiaoke;Tao, Jun
通讯作者：
Tao, Jun
影响因子：
1.8
作者：
Mahadev Sharma;Shu Yin Zhang
通讯作者：
Mahadev Sharma;Shu Yin Zhang
影响因子：
2.5
作者：
Li;Haikui;Zhao;Pengxiang;Lei;Yuancai;Zeng;Weisheng
通讯作者：
Li;Haikui;Zhao;Pengxiang;Lei;Yuancai;Zeng;Weisheng