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茳芏(Cyperus malaccensis Lam.)生物量估测模型
引用本文:潘良浩,史小芳,范航清.茳芏(Cyperus malaccensis Lam.)生物量估测模型[J].广西科学院学报,2015,31(4):259-263.
作者姓名:潘良浩  史小芳  范航清
作者单位:广西科学院广西红树林研究中心, 广西红树林保护与利用重点实验室, 广西北海 536000,广西科学院广西红树林研究中心, 广西红树林保护与利用重点实验室, 广西北海 536000,广西科学院广西红树林研究中心, 广西红树林保护与利用重点实验室, 广西北海 536000
基金项目:广西科学院基本科研业务费项目(10YJ25HS04,12YJ25HS15),广西红树林保护与利用重点实验室基金项目(GKLMC-08)和海洋公益性专项项目(201205008-06)资助。
摘    要:【目的】探讨简单、方便且能准确估算盐沼植物生物量的方法,简化其生物量测定工作。【方法】以高度(H)和密度(D)2个形态因子作为变量,用数理统计方法构建茳芏(Cyperus malaccensis Lam.)生物量估测模型。【结果】茳芏地上生物量(Wa)以DH为变量进行估测更恰当,以DH为自变量的乘幂曲线模型Wa=0.0097(DH)1.177为生物量最佳估测模型。【结论】运用回归模型估算茳芏地上生物量可行,并可取得较为可靠的预测精度,茳芏地下生物量不能得出合适的估算方程。

关 键 词:滨海盐沼  茳芏  生物量  估测方法
收稿时间:2015/10/7 0:00:00
修稿时间:2015/10/15 0:00:00

Research on Biomass Estimate Model of Cyperus malaccensis Lam.
PAN Liang-hao,SHI Xiao-fang and FAN Hang-qing.Research on Biomass Estimate Model of Cyperus malaccensis Lam.[J].Journal of Guangxi Academy of Sciences,2015,31(4):259-263.
Authors:PAN Liang-hao  SHI Xiao-fang and FAN Hang-qing
Institution:Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove Research Center, Guangxi Academy of Sciences, Beihai, Guangxi, 536000, China,Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove Research Center, Guangxi Academy of Sciences, Beihai, Guangxi, 536000, China and Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Mangrove Research Center, Guangxi Academy of Sciences, Beihai, Guangxi, 536000, China
Abstract:Objective] The objective of the study is to find a simple and convenient method for estimating the accurate biomass of Cyperus malaccensis Lam., and simplify the measurement of the plant''s biomass.Methods] Statistics methods were used to construct the models using canopy plant height (H) and density (D) as variables.Results] The results showed the above ground biomass(Wa) was accurate using DH as variable, and the best estimate model for above ground biomass of C.malaccensis is Wa=0.0097(DH)1.177.Conclusion] Above ground biomass estimation of C.malaccensis by using the estimate model is feasible and relatively high precise,but estimation model for estimating below ground biomass could not be constructed.
Keywords:coastal salt marsh  Cyperus malaccensis  biomass  estimation method
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