广西钦州湾红海榄幼龄植株生物量相容性模型构建OA
Compatible Model Construction for Rhizophora stylosa Young Plant Biomass at Qinzhou Bay,Guangxi
为提高红海榄(Rhizophora stylosa)生物量预估精度,以广西钦州湾红树林湿地红海榄幼龄植株为研究对象,基于筛选出的生物量最优独立模型,采用总量控制和分量相加2种方法,构建生物量相容性模型,对模型拟合和预估效果进行评价.结果表明,独立模型中,红海榄各组分和总生物量最佳预估模型均为w=aDbHc,决定系数(R2)为0.765~0.934.2种相容性模型的R2为0.766~0.956.与对应的总量控制相容性模型和最优独立模型相比,分量相加相容性模型各组分和总生物量的R2均最高,总相对误差均更趋近于0%,均方根误差和平均绝对百分比误差均最低.分量相加相容性模型拟合效果较好,预估精度较高,可作为调查区域红海榄生物量预估优选模型.
In order to improve estimation accuracy of Rhizophora stylosa biomass,taking R.stylosa young plants collected from mangrove wetlands at Qinzhou Bay,Guangxi as research objects,based on selected biomass opti-mal independent model,two kinds of biomass compatible models were constructed using total control and com-ponents addition methods,and fitting and estimation effects of models were evaluated.Results showed that among independent models,w=aDbHc was optimal estimation model for R.stylosa components and total bio-mass,with R2 ranging from 0.765 to 0.934.R2 of two compatible models ranged from 0.766 to 0.956.Compared with corresponding total control compatible models and optimal independent models,components and total bio-mass of components addition compatible model had the highest R2 with total relative error more tending to 0%and the lowest root mean square error and mean absolute percentage error.Components addition compatible model had better fitting effect and higher estimation accuracy,which could be used as optimal model for R.sty-losa biomass estimation at investigation area.
欧芷阳;韦海航;庞世龙;张继辉;李进华;梁萍;刘秀
广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002广西壮族自治区林业科学研究院 广西林业实验室,广西 南宁 530002
农业科技
生物量相容性模型联立方程组红海榄
biomasscompatible modelsimultaneous equationRhizophora stylosa
《广西林业科学》 2026 (1)
59-66,8
广西重点研发计划项目(桂科AB24010288)广西北海滨海国家湿地公园红树林移植技术研究(银投股份2022129)西部陆海新通道(平陆)运河工程红树林移植保护项目(桂平陆建合计2023-0078)
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