Individual tree biomass equations and growth models sensitive to climate variables for Larix spp. in China
Individual tree biomass equations and growth models sensitive to climate variables for Larix spp. in China
复制标题
落叶松属对气候变量敏感的单棵树生物量方程和生长模型。
DOI：
10.1007/s10342-017-1024-9
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发表时间：
2017-01
影响因子：
2.8
通讯作者：
WenTao Zou
中科院分区：
文献类型：
--
作者：
XinYun Chen;XueJun Wang;Ying Pu;WenTao Zou
气候变化增加了对森林生物量信息的需求。落叶松(Larix spp.)目前的生物量公式无法准确估计中国大区域内的材积，因为它们通常是基于局部样地的少数样木，与蓄积量估计一般不相容，组分与总生物量之间不能相加。中国需要对全国重要物种的生物量进行可靠的估计。本研究以中国地区4个地区的600株和198株落叶松破坏性样木的地上和地下生物量测定数据为基础。其主要目的是利用非线性变量误差联立方程方法，在国家和区域层面上建立关于地上和地下生物量、生物量转换系数和根冠比的相容单株方程。此外，还建立了胸径(D)和树高(H)生长模型，分析了关键气候变量对生物量变化和生长过程的影响。结果表明，区域地上生物量模型的平均预测误差在3.86~7.52%之间，总相对误差在±3%以内，区域地下生物量模型的平均预测误差在9.91~28.85%之间，总相对误差在±4%以内。地上和地下生物量、D-和H-生长与年平均温度和年平均降水量显著相关。本文建立的生物量方程和生长模型将为中国落叶松林分生物量的估算和预测提供良好的依据。
Climate change has increased the need of information on amount of forest biomass. The biomass and carbon storage for larch (Larix spp.) in large geographic regions in China were failed to be accurately estimated from current biomass equations, because they were usually based on a few sample trees on local sites, generally incompatible to volume estimation, and not additive between components and total biomass. China needs reliable biomass estimation of the important species in the whole country. This study was based on the mensuration data of above- and belowground biomass from 600 and 198 destructive sample trees of larch from four regions in China, respectively. The main purpose was to develop compatible individual tree equations on both national and regional levels for above- and belowground biomass, biomass conversion factor and root-to-shoot ratio, using the nonlinear error-in-variable simultaneous equation approach. In addition, diameter at breast height (D) and tree height (H) growth models were also developed, and effects of key climate variables on biomass variation and growth process were analyzed. The results showed that mean prediction errors (MPEs) of regional aboveground biomass models were from 3.86 to 7.52%, and total relative errors (TREs) are within ±3%; and for regional belowground biomass equations, the MPEs are from 9.91 to 28.85%, and the TREs are within ±4%. The above- and belowground biomass and D- and H-growth were significantly related to mean annual temperature and mean annual precipitation. The biomass equations and growth models developed in this paper will provide good basis for estimating and predicting biomass of larch forests in China.
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影响因子：
3.7
作者：
P. Vallet;J. Dhote;G. Moguédec;Michel Ravart;G. Pignard
通讯作者：
P. Vallet;J. Dhote;G. Moguédec;Michel Ravart;G. Pignard
影响因子：
3.1
作者：
Tang, SZ;Wang, YH
通讯作者：
Wang, YH
影响因子：
3.7
作者：
Xiangping Wang;S. Ouyang;O. Sun;Jingyun Fang
通讯作者：
Xiangping Wang;S. Ouyang;O. Sun;Jingyun Fang
影响因子：
1.8
作者：
W. Zeng
通讯作者：
W. Zeng
DOI：
10.1139/x03-022
发表时间：
2003-06-01
期刊：
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE
影响因子：
--
作者：
Kozak, A;Kozak, R
通讯作者：
Kozak, R