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|Table of Contents|

海南岛东北部木麻黄立木生物量建模(PDF/HTML)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2017年02期
Page:
103-110
Column:
研究论文
publishdate:
2017-03-23

Article Info:/Info

Title:
Modeling above-ground and below-ground biomass of Casuarina equisetifolia in the northeast of Hainan Province
Article ID:
1000-2006(2017)02-0103-08
Author(s):
XING Haitao1 LU Yuanchang1* 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
Keywords:
Casuarina equisetifolia biomass error-in-variable model compatibility
Classification number :
S757
DOI:
10.3969/j.issn.1000-2006.2017.02.015
Document Code:
A
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(EMPSE less than 10%)and managed to control EMPE(mean prediction error). This study also developed a binary equation concerning the biomass conversion factor(EBCEF)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.

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Last Update: 2017-03-23