Using Remote Sensing to Conduct Quantitative Study on the Quality of Typical Moso Bamboo Management Area in Southern Collective Forest Area

doi:10.13466/j.cnki.lyzygl.2019.06.015

Abstract

Abstract:

Based on the SPOT-7 remote sensing image of Dagan town,Shunchang county,Fujian province in 2017,and the data of ground survey of the same period were obtained.In this paper,the main indicators responding to the change of stand quality of Moso bamboo were extracted through principal component analysis.Then combined with the net primary productivity(NPP) and interference index,an evaluation model of stand quality was constructed by analytic hierarchy process(AHP) to quantify the management quality of Moso bamboo.The results showed that the stand quality evaluation of Moso bamboo forest based on SPOT remote sensing image was correlated with mean DBH and stand density.The evaluation results were fitted with the stand quality evaluation in field sample plot survey.The coefficient of determination R² was 0.757,and the total average accuracy was 83.29%,which indicated that the study was consistent.The overall stand quality of Moso bamboo in villages is Ganshan village >Xianglinchang>Tulong village >Liangfang village >Wufang village.The results show that using the conversion and mining of remote sensing data,combined with topographic factor,net primary productivity of vegetation and interference index,it can effectively monitor the management effect of Moso bamboo resources in southern collective forest area.

Key words: Moso bamboo, stand quality, remote sensing, topographic factor, vegetation index

CLC Number:

LIN Lili, HAO Zhenbang, DAI Shanlin, YANG Liuqing, LIU Jian, YU Kunyong. Using Remote Sensing to Conduct Quantitative Study on the Quality of Typical Moso Bamboo Management Area in Southern Collective Forest Area[J]. FOREST RESOURCES WANAGEMENT, 2019, 0(6): 84-90.

Figures/Tables 10

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指标	植被复合指数	植被净初级生产力	干扰指数	权重	一致性检验结果
植被复合指数	1.0000	0.5000	3.0000	0.3090	λmax=3.0037
植被净初级生产力	2.0000	1.0000	5.0000	0.5815	CI=0.0036,RI=0.52
干扰指数	0.3333	0.2000	1.0000	0.1095	CR=0.0069<0.1

样地号	土层厚度/cm	土壤容重/(g/cm³)	坡度/(°)	土壤有机质/(g/kg)	林龄等级	平均胸径/cm	林分密度/(株/hm²)	干扰等级	评价得分
1	100	1.004	48.85	69.669	1	12	2895	4	0.410
2	100	0.978	33.08	33.854	1	11	2490	4	0.282
3	100	0.947	16.19	25.090	3	11	3690	5	0.413
4	90	0.933	20.78	48.559	4	12	2700	3	0.565
5	0	1.213	7.25	27.977	3	11	3990	3	0.391
6	90	1.152	23.21	28.447	4	12	3090	2	0.574
7	90	1.219	8.71	28.781	4	10	2595	5	0.397
8	90	1.026	28.51	46.114	4	9	3795	5	0.489
9	100	0.961	18.44	50.227	1	11	6885	4	0.470
10	100	1.057	7.06	34.927	3	10	4290	3	0.481
11	90	0.953	16.52	48.855	1	11	3795	1	0.433
12	90	1.088	8.70	35.043	1	12	3690	1	0.419
13	100	1.040	38.66	19.010	1	12	3900	1	0.442
14	90	1.194	16.92	46.872	1	13	2895	4	0.343
15	0	1.115	20.75	40.637	2	10	3990	1	0.415
16	120	0.822	27.89	33.112	1	11	3990	3	0.391
17	90	1.054	12.65	40.928	3	12	3300	5	0.421
18	80	1.084	25.49	28.046	3	13	4095	1	0.599
19	100	0.931	36.10	46.035	1	11	3795	3	0.409
20	100	0.786	29.94	55.744	1	12	3495	2	0.450
21	100	0.919	6.40	34.282	3	8	4290	1	0.514
22	0	0.893	15.68	30.383	1	10	4800	1	0.355
23	80	0.777	25.10	52.458	3	11	3990	4	0.507
24	90	0.908	12.73	53.629	4	12	3090	4	0.547
25	95	0.827	7.09	63.014	3	12	4290	3	0.581

乡镇	各等级毛竹林分质量面积/km²					平均林分质量得分
乡镇	优秀	良好	一般	差	合计	平均林分质量得分
干山村	1.127	1.003	0.342	0.014	2.486	0.600
乡林场	0.016	0.025	0.008	0.000	0.049	0.585
土垄村	3.464	3.383	2.200	0.152	9.200	0.584
良坊村	0.374	0.418	0.445	0.016	1.253	0.564
武坊村	2.955	3.421	4.549	0.611	11.535	0.541
合计	7.936	8.250	7.545	0.793	24.524	0.569