Optimization and Improvement on Sampling Design of Continuous Forest Inventory in Tianjin

doi:10.13466/j.cnki.lyzygl.2018.05.008

Abstract

Abstract:

Optimizing and improving National Continuous Forest Inventory System is an important concern in recent years.According to the distribution characteristics of forest resources in Tianjin and previous Continuous Forest Inventories (CFI) results,the sampling design of CFI in Tianjin was optimized and improved,and the optimal sampling design was verified and analyzed using the implementation results in 2017.The results showed that one 500m sample line was similar to three 0.066 7 hm² (1 Chinese mu) sample plots on sampling efficiency for estimation of forest area,the sampling precisions of forest area and growing stock volume were more than 90% as specified in national technical regulation,and those of forest area and forest volume in two sub-populations,i.e.,mountainous and plain areas,were more than 85% and 80% respectively.Finally,it is concluded that sample line based survey is an effective way to conduct CFI in plain area,stratified sampling is a highly effective method to improve the efficiency of CFI,and the optimization and improvement on sampling design of CFI in Tianjin have met the precision demands and achieved the expected results.

Key words: forest resources, continuous inventory, stratified sampling, optimization, improvement

CLC Number:

S757.2

CHEN Xinyun, ZENG Weisheng, WANG Wei, ZHANG Lu, SUN Xiangnan, HUANG Guosheng, DANG Yongfeng, QIN Zhongtao. Optimization and Improvement on Sampling Design of Continuous Forest Inventory in Tianjin[J]. FOREST RESOURCES WANAGEMENT, 2018, 0(5): 42-46.

Figures/Tables 5

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“L”形样线					“十”字形样线
样线长度/m	平均值/m	平均成数	变动系数	抽样效率	样线长度/m	平均值/m	平均成数	变动系数	抽样效率
40	2.71	0.0679	3.17	1.29	80	5.34	0.0667	3.08	1.37
80	5.51	0.0688	2.89	1.55	160	10.86	0.0679	2.75	1.72
100	6.92	0.0692	2.79	1.66	200	13.65	0.0683	2.64	1.86
120	8.31	0.0692	2.72	1.74	240	16.46	0.0686	2.56	1.98
160	11.13	0.0695	2.59	1.92	320	22.19	0.0693	2.42	2.21
200	13.84	0.0692	2.49	2.08	400	27.75	0.0694	2.32	2.39
240	16.58	0.0691	2.41	2.23	480	33.08	0.0689	2.25	2.55
280	19.27	0.0688	2.36	2.33	560	38.59	0.0689	2.19	2.7
300	20.66	0.0689	2.32	2.4	600	41.37	0.0689	2.15	2.79
320	22.08	0.069	2.29	2.47	640	44.2	0.0691	2.12	2.89
360	24.95	0.0693	2.22	2.62	720	49.91	0.0693	2.05	3.07
400	27.73	0.0693	2.17	2.75	800	55.47	0.0693	2	3.23
440	30.44	0.0692	2.13	2.86	880	61.03	0.0693	1.96	3.36
480	33.31	0.0694	2.08	2.99	960	66.72	0.0695	1.91	3.53
500	34.75	0.0695	2.06	3.06	1000	69.63	0.0696	1.89	3.6
520	36.18	0.0696	2.04	3.12	1040	72.54	0.0698	1.87	3.68
560	38.97	0.0696	2	3.22	1120	78.19	0.0698	1.84	3.82
600	41.8	0.0697	1.97	3.32	1200	83.85	0.0699	1.81	3.96
640	44.82	0.07	1.94	3.45	1280	89.69	0.0701	1.77	4.12
680	47.58	0.07	1.91	3.55	1360	95.15	0.07	1.74	4.25
700	48.94	0.0699	1.9	3.6	1400	97.84	0.0699	1.73	4.32
720	50.32	0.0699	1.88	3.66	1440	100.55	0.0698	1.71	4.4
760	53.12	0.0699	1.85	3.79	1520	106.08	0.0698	1.69	4.55
800	55.9	0.0699	1.82	3.92	1600	111.71	0.0698	1.66	4.72

调查方法	样本量	森林面积/km²	森林覆盖率/%	变动系数/%	相对误差/%	抽样精度/%
样地调查	2423	810	8.34	331.66	13.21	86.79
样线调查	606	1005	10.34	189.22	15.07	84.93

项目	分类	样地调查		样线调查
项目	分类	面积/hm²	比例/%	面积/hm²	比例/%
合计	合计	622	100	79470	100
龄组	幼龄林	478	77	56963	71.68
	中龄林	112	18	18256	22.97
	近熟林	8	1	3845	4.84
	成熟林	16	3	277	0.35
	过熟林	8	1	129	0.16
林种	防护林	494	79	69890	87.94
	特用林	56	9	7239	9.11
	用材林	68	11	2241	2.82
	经济林	4	1	100	0.13

样地调查			样线调查
优势树种	面积/km²	比例/%	优势树种	面积/km²	比例/%
合计	622	100	合计	79470	100
白蜡树	24	4	白蜡树	5633	7.09
刺槐	105	17	刺槐	4795	6.03
榆树	24	4	榆树	3202	4.03
油松	4	1	国槐	11638	14.64
枣	4	1	臭椿	785	0.99
其它硬阔	20	3	香椿	210	0.26
			银杏	177	0.22
			柏木	173	0.22
杨树	293	47	杨树	34356	43.23
柳树	72	11	柳树	10058	12.66
其它软阔	24	4	合欢	524	0.66
			火炬树	502	0.63
			栾树	341	0.43
			紫叶李	322	0.41
			泡桐	130	0.16
阔叶混	52	8	阔叶混	6175	7.77
针阔混			针阔混	370	0.47
针叶混			针叶混	79	0.1

范围	样本量	森林面积		森林蓄积		活立木蓄积
范围	样本量	估计值/km²	抽样精度/%	估计值/100m³	抽样精度/%	估计值/100m³	抽样精度/%
全市	3815	1364	92.4	46027	88.83	62056	90.64
山区	786	458	89.02	17075	81.9	21712	83.7
平原	3029	906	89.82	28952	80.5	40344	84.21