文献类型：期刊文献

中文题名：南岭国家级自然保护区地上粗木质残体质量估算模型构建

英文题名：Construction of A Model for Mass Estimation of Above-Ground Coarse Woody Residues in Nanling National Reserve

作者：段懿芳[1] 李超荣[1] 李兆佳[2,3] 林芳[4] 林玉华[4] 曾滢静[1] 李广玮[4] 李华盛[5]

第一作者：段懿芳

机构：[1]广东南岭国家级自然保护区管理局,广东韶关512727;[2]中国林业科学研究院热带林业研究所,广东广州510520;[3]南岭北江源森林生态系统国家定位观测研究站,广东广州510520;[4]广东省乳阳林场(广东南岭国家森林公园管理处),广东韶关512727;[5]广东省天井山林场(广东天井山国家森林公园管理处),广东韶关512726

年份：2024

卷号：40

期号：4

起止页码：64-69

中文期刊名：林业与环境科学

外文期刊名：Forestry and Environmental Science

基金：广东南岭国家级自然保护区森林植被碳汇相关模型构建(ZL18CS003)。

语种：中文

中文关键词：粗木质残体;质量估算;亚热带常绿阔叶林

外文关键词：CWD;mass estimation;subtropical evergreen broadleaf forest

分类号：S758

摘要：为了更好地支撑广东南岭国家级自然保护区以及附近森林生态系统碳储量和碳汇估算,研究采用广东南岭国家级自然保护区海拔400~1800 m之间阔叶林和针阔混交林中采集的300个粗木质残体(Coarse wood debris,CWD)样品,以分解等级和体积参数为自变量构建CWD质量估算模型。CWD样品平均直径3.332~5.919 cm,平均长度1.55~2.80 m,平均密度0.150~0.224 g·cm^(-3)。尽管直径、长度和密度在个体和样地之间的差异较大,但总体上不随海拔和森林类型而变化,代表性较好。CWD分解等级对样品特征有显著影响,样品密度随分解等级增加而下降。建立的模型拟合度高,分解等级和体积参数均能有效解释CWD质量变化。
In order to better support the estimation of carbon storage and carbon sink in Guangdong Nanling National Nature Reserve and nearby forest ecosystems,the study used 300 coarse wood debris(CWD)samples collected from broad-leaved and mixed coniferous and broad-leaved forests in Guangdong Nanling National Na-ture Reserve between the altitudes of 400 and 1800 m,and constructed a model for estimating the quality of the CWDs using decomposition level and volume parameters as independent variables.The average diameter of CWD samples ranged from 3.332 to 5.919 cm,average length from 1.55 to 2.80 m,and average density from 0.150 to 0.224 g·cm^(-3).Although the diameter,length,and density varied widely among individuals and sample plots,they generally did not change with elevation and forest type,and the representativeness was good.The CWD decomposition level had a significant effect on the sample characteristics,and the sample density de-creases with the increase of the decomposition level.The established model has a high degree of fitting,and the decomposition level and volume parameters can effectively explain the quality change of CWD.