海南岛东北部木麻黄立木生物量建模

doi:10.3969/j.issn.1000-2006.2017.02.015

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南京林业大学学报（自然科学版） ›› 2017, Vol. 60 ›› Issue (02): 103-110.doi: 10.3969/j.issn.1000-2006.2017.02.015

海南岛东北部木麻黄立木生物量建模

邢海涛¹,陆元昌^1*,刘宪钊¹,薛杨²,林之盼²,王小燕²

1.中国林业科学研究院资源信息研究所,北京 100091;
2.海南省林业科学研究所,海南海口 571100

出版日期:2017-04-18 发布日期:2017-04-18
基金资助:
收稿日期:2015-12-29 修回日期:2016-11-23
基金项目:国家林业公益性行业科研专项项目(201304320)
第一作者:邢海涛(xht8709@163.com),博士生。*通信作者:陆元昌(YLu@ifrit.ac.cn),研究员,博士。
引文格式:邢海涛,陆元昌,刘宪钊,等. 海南岛东北部木麻黄立木生物量建模[J]. 南京林业大学学报(自然科学版),2017,41(2):103-110.

Modeling above-ground and below-ground biomass of Casuarina equisetifolia in the northeast of Hainan Province

XING Haitao¹, LU Yuanchang^1*, LIU Xianzhao¹, XUE Yang², LIN Zhipan², WANG Xiaoyan²

1. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;
2. Forestry Research Institute of Hainan Province, Haikou 571100, China

Online:2017-04-18 Published:2017-04-18

摘要/Abstract

摘要： 【目的】木麻黄是海南岛沿海主要的造林防护树种,量化估测木麻黄林生物量有利于明确木麻黄的碳汇贡献能力。【方法】以海南岛东林场木麻黄林为研究对象,选取了44株标准木,并获得其生物量实测数据。基于筛选的41株木麻黄样木生物量数据,分别选出地上和地下生物量最优独立模型,依据非线性度量误差模型的理论和求解方法,以及地上、地下生物量与材积变量之间的转换关系,建立了木麻黄地上生物量和地下生物量相容性模型,并采用加权回归消除各模型的异方差。【结果】地上、地下生物量最优独立模型为以胸径D为自变量的一元方程,立木材积的最优独立模型为以胸径D和树高H为自变量的二元独立模型; 非线性度量误差联立方程组能够很好地解决生物量相容性的问题,地上、地下生物量和立木材积的决定系数R²均大于0.95,并很好地改进了单株预测精度(平均百分标准误差E_MPSE均小于10%)和控制了平均预估误差; 同时,得出生物量转换因子(E_BCEF)和根茎比(R)的二元方程。【结论】此次建立的木麻黄生物量非线性联立方程组可用于大范围尺度估算木麻黄防护林的生物量及其碳储能力。

Abstract: 【Objective】Casuarina equisetifolia is the main protection forest species in Hainan Island. The carbon sink capacity of this species has received considerable attention against the background of global climate change. 【Method】 In Daodong Forest Farm, Hainan Island, the 44 trees were selected in the C. equisetifolia forest as standard trees and their biomass was calculated. On the basis of the biomass data of the 41 selected trees and optimal models for above-and below-ground biomass, a compatible model for above-and below-ground biomass was established by using a non-linear error-in-variable modeling approach and conversion between variables of volume and above-and below-ground biomass.【Result】One variable equation based on diameter at breast height(DBH)was the optimal model for above-and below-ground biomass, and a binary equation based on DBH and height was the optimal model for tree volume. The use of the non-linear error-in-variable equation system was a solution to the problem of biomass compatibility, as the model R² values for above-ground biomass, below-ground biomass, and tree volume were all greater than 0.95, and this system also improved the prediction accuracy for individual trees(E_MPSE less than 10%)and managed to control E_MPE(mean prediction error). This study also developed a binary equation concerning the biomass conversion factor(E_BCEF)and root-shoot ratio(R). 【Conclusion】 The non-linear equation system provides a method for estimating the biomass and carbon storage of C. equisetifolia on a large scale.

中图分类号:

S757

邢海涛,陆元昌,刘宪钊,等. 海南岛东北部木麻黄立木生物量建模[J]. 南京林业大学学报（自然科学版）, 2017, 60(02): 103-110.

XING Haitao, LU Yuanchang, LIU Xianzhao, XUE Yang, LIN Zhipan, WANG Xiaoyan. Modeling above-ground and below-ground biomass of Casuarina equisetifolia in the northeast of Hainan Province[J].Journal of Nanjing Forestry University (Natural Science Edition), 2017, 60(02): 103-110.DOI: 10.3969/j.issn.1000-2006.2017.02.015.

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海南岛东北部木麻黄立木生物量建模

Modeling above-ground and below-ground biomass of Casuarina equisetifolia in the northeast of Hainan Province

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