文献类型：期刊文献

中文题名：基于全国森林资源清查数据的油松人工林碳储量生长模型

英文题名：Growth Model of Carbon Storage in Pinus tabuliformis Plantation Based on National Forest Inventory Data

作者：高永龙[1] 赖光辉[2] 王月容[3] 王欢[1] 张一鸣[1] 史少维[1] 张连金[4]

第一作者：高永龙

机构：[1]北京市园林绿化规划和资源监测中心(北京市林业碳汇与国际合作事务中心),北京101118;[2]国家林业和草原局林草调查规划院,北京100714;[3]北京市园林绿化科学研究院,北京100102;[4]中国林业科学研究院华北林业实验中心北京九龙山暖温带森林国家长期科研基地,北京102300

年份：2024

期号：3

起止页码：79-87

中文期刊名：林草资源研究

外文期刊名：FOREST AND GRASSLAND RESOURCES RESEARCH

收录：;北大核心:【北大核心2023】；

基金：北京市园林绿化青年创新人才托举工程项目“基于林分空间结构优化的油松生态公益林调控研究”(KJCX202330);中央级公益性科研院所基本科研业务费专项资金项目“京郊山区典型公益林质量提升经营技术研究”(CAFYBB2021ZK001)。

语种：中文

中文关键词：碳储量生长;可变参数模型;气候因子;油松人工林

外文关键词：carbon storage growth;variable parametermodel;climatic factor;Pinus tabuliformis plantation

分类号：S718.5

摘要：全国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。建立森林碳储量生长模型在实践中具有重要意义,它可为推动林草事业高质量发展、实施“双碳”目标提供决策依据。基于第九次全国森林资源清查780个样地的碳储量数据,采用非线性加权回归方法,建立油松人工林碳储量生长模型。基于可变参数模型方法,分析气候因子对油松人工林碳储量生长过程的影响。结果表明:1)油松人工林碳储量生长模型的平均预估误差的绝对值低于5.00%,总相对误差的绝对值在1.00%以内;2)拐点年龄和数量成熟年龄分别为30 a和53 a,对应的碳储量的最大连年生长量和最大平均生长量分别为1.19 t/hm^(2)和0.94 t/hm^(2);3)年均降水量(MAP)对油松人工林的碳储量生长过程和固碳能力有影响,且不同年均降水量等级和不同变化范围的年均降水量对碳储量的影响程度不同,碳储量随年均降水量的降低而逐渐减小,且年均降水量每降低100 mm,油松人工林的年均碳生长量下降约3.64%。因此,充分挖掘和发挥油松人工林固碳潜力,制定科学的经营管理策略至关重要。不同年均降水量等级下,碳储量随林龄变化的规律是确定油松人工林合理经营周期的重要依据。
National forest inventory data are important resources for understanding the dynamics of forest carbon cycling at regional and global scales.Developing growth models of carbon storage has a great importance in practice,which can provide a decision-making basis for promoting high-quality development of forestry and grassland industry,and implementing the carbon emission peak and carbon neutralization strategy.Based on the carbon storage dataset of 780 sample plots from the ninth national forest inventory of China,the growth model of carbon storage for Pinus tabuliformis plantation was developed by using a weighted nonlinear regression method.And the effects of two climate factors:Mean annual temperature(MAT)and mean annual precipitation(MAP)on carbon storage growth were analyzed by using a variable parameter method.The results showed that:1)The mean prediction error(MPE)of growth models of carbon storage for P.tabuliformis plantation was less than 5%,and the total relative error(TRE)was approximately less than 1.00%.2)The age of inflection point and quantitative maturity were 30 years and 53 years,respectively,when the current annual increment and average increment of carbon storage reached a maximum of 1.19t/hm^(2)and 0.94 t/hm^(2),respectively.3)The MAP had an impact on the growth process of carbon storage and the capacity of carbon sequestration for P.tabuliformis plantation,and the degree of its impact varied in different MAP levels and variation.The carbon storage gradually decreased with the decrease of MAP,and the annual mean of carbon storage decreased by approximately 3.64%for the P.tabuliformis plantation,when the MAP decreased by every 100 mm.It is essential to employ scientific management strategies to fully explore and develop the carbon sequestration potential of P.tabuliformis plantation.The change pattern of carbon storage with forest age at different MAP levels is an important basis for determining a reasonable management cycle of P.tabuliformis plantation.