Data Validation Analysis of Forest Resources Inventory for Planning of Russia

doi:10.13466/j.cnki.lyzygl.2017.04.023

Abstract

Abstract:

According to data of forest resources inventory for planning of Russia,29 forest resource sub-compartments were selected to carry out the field verification survey,The data of forest resources inventory for planning and the data of validation are compared and analyzed.According to U test results,There was no significant difference between mean volume of the survey and the mean volume of the validation survey,indicating that the data of forest resources inventory for planning is credible.According to F test results,the difference of single mean volume is large between survey and validation,and the reliability is low.

Key words: forest resources, inventory, planning, validation analysis

CLC Number:

S757.2

ZHI Changgui, ZHENG Dongmei, WANG Liuru, CHEN Xinyun, ZHANG Qiao. Data Validation Analysis of Forest Resources Inventory for Planning of Russia[J]. FOREST RESOURCES WANAGEMENT, 2017, (4): 151-154.

Figures/Tables 5

Tab.1

Fig.1

Tab.2

Tab.3

U test results of mean volume between survey and validation survey

统计量	验证样本	二类调查样本
样本数	n₁=29	n₂=29
平均值	$x ? 1$ =329.4	$x ? 2$ =324.1
方差	s₁=3624.3	s₂=1146.6

Tab.3

Fig.2

树种	材积公式
落叶松	V=0.000050168241×(0.972×D-0.0978)¹^.^7582894×((0.972×D-0.0978)/(0.6872+0.025696×(0.972×D-0.0978))) ¹^.^1496653
樟子松	V=(0.000054585749×(0.98×D-0.316)¹^.^9705412) ×((0.98×D-0.316)/(0.688+0.03025×(0.98×D-0.316)))⁰^.^91418311
云杉冷杉红松	V1=(0.000061859978×(0.96762×D-0.10473)¹^.^8557513) ×((0.96762×D-0.10473)/(1.2605+0.0075×(0.96762×D-0.10473)))¹^.^0070547 (0~33.1cm) V2=(0.000061859978×(0.96762×D-0.10473)¹^.^8557513) ×((0.96672×D-0.10473)/(0.7456+0.0233×(0.96672×D-0.10473)))¹^.^0070547 (33.2cm以上)
白桦	V=(0.000051935163×(0.1132+0.964×D)¹^.^8586884) ×(10⁽¹^.^3439-2^.¹⁹²^/⁽⁰^.¹¹³²⁺⁰^.^964×^D⁾⁾)¹^.^0038941
山杨	V=(0.000053474319×(0.9675×D-0.1018)¹^.^8778994) ×(10⁽¹^.^3991932-2^.^2461184^/⁽⁰^.^9675×^D^-0^.¹⁰¹⁸⁾⁾)⁰^.^99982785

树种	二类调查数据		验证调查数据		百分比差值/%
树种	总蓄积/m³	百分比/%	总蓄积/m³	百分比/%	百分比差值/%
落叶松	147315	23.94	142173.1	22.76	-1.18
樟子松	132048.6	21.46	132165.8	21.16	-0.30
白桦	79986.47	13	54230.9	8.68	-4.32
云杉	66254.5	10.77	47475.8	7.60	-3.17
山杨	80389.31	13.06	80652.6	12.91	-0.15
冷杉	78956.49	12.83	113974.5	18.25	5.42
红松	30393.74	4.94	53861	8.62	3.68
合计	615344.2	100	624533.7	100

[1]	张松丹, 林祚捌, 莫沫, 等. 赴俄罗斯波兰森林可持续经营项目研讨会考察报告[J]. 林业资源管理, 2014(6):154-159.
[2]	智长贵, 王六如, 陈新云, 等. 境外森林资源调查分层整群抽样案例分析[J]. 林业资源管理, 2015(4):28-32.

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