Analysis on Forest Vegetational Cover Changes in Yuxi and its Driving Force

doi:10.13466/j.cnki.lyzygl.2021.01.016

Abstract

Abstract:

Forest covers can reflect the health of the forest ecosystem and space-time change is the basis for estimating the direction of the forest ecosystem development.This study attempts to analyze the change of time and space pattern of forest vegetational cover in Yuxi,Southwest China's Yunnan Province,from 2010 to 2019,and establish the regression model by single-factor and multi-regression analysis methods,respectively,to explore the drivers for the improvement and degradation of vegetational covers.The results show that the forest vegetational cover show a good trend and the factors and slope are not simple linear relationship.The study finds that the improvement rate of road and residential areas and forest vegetational cover are negatively related and positively related to the rate of degradation.Moreover,DEM,slope,large water body,public welfare forest management and forest cover improvement rate are positively correlated with the degradation rate and the slope direction is positively correlated with the improvement rate of stand vegetational covers,and the topographic fluctuation degree is negatively correlated with the degradation rate of stand vegetation cover.The driving forces for the improvement and degradation of forest vegetational covers are not the same and the influence mechanism is also different,which provides a scientific basis for better formulaing ecological protection policies.

Key words: MODIS EVI, vegetational cover, driving force, single factor analysis, multiple regression analysis

CLC Number:

X173

ZHU Hongqin, WANG Jingwen, XV Yanhong, QI juncheng, LUO Hang, PENG Zexi. Analysis on Forest Vegetational Cover Changes in Yuxi and its Driving Force[J]. FOREST RESOURCES WANAGEMENT, 2021, 0(1): 121-131.

Figures/Tables 16

Fig.1

Tab.1

Tab.2

Variation of Forest Subplant Coverage in Yuxi

变化趋势	变化率	面积/hm²	百分比/%
严重退化	-0.06032≤ $b^$ <-0.01142	93317.31	8.68%
轻微退化	-0.01142≤ $b^$ <-0.00001	327236.40	30.45%
基本不变	-0.00001≤ $b^$ <0.00001	797.04	0.07%
轻微改善	0.00001≤ $b^$ <0.01498	541238.22	50.36%
明显改善	0.01498≤ $b^$ <0.05004	112177.53	10.44%

Tab.2

Fig.2

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Tab.3

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EVI等级	1	2	3	4	5	6	7	8	9	10	合计
1	0.65	0.72	0.59	0.44	0.25	0.14	0.07	0.03	0.02	0.01	2.92
2	0.42	1.29	2.15	2.26	1.63	0.94	0.53	0.32	0.16	0.08	9.78
3	0.24	0.99	2.26	3.19	3.20	2.31	1.31	0.78	0.38	0.20	14.85
4	0.15	0.67	1.69	2.94	3.78	3.38	2.25	1.29	0.68	0.31	17.14
5	0.09	0.46	1.21	2.34	3.33	3.66	2.90	1.75	0.96	0.44	17.15
6	0.05	0.26	0.80	1.60	2.66	3.11	2.78	1.89	1.05	0.50	14.71
7	0.02	0.15	0.45	1.00	1.69	2.10	2.06	1.64	0.92	0.40	10.43
8	0.01	0.08	0.25	0.58	1.04	1.36	1.47	1.17	0.72	0.32	7.00
9	0.01	0.04	0.14	0.31	0.59	0.81	0.83	0.74	0.47	0.22	4.17
10	0.00	0.02	0.06	0.14	0.26	0.35	0.39	0.32	0.21	0.10	1.84
合计	1.64	4.68	9.59	14.79	18.43	18.16	14.60	9.93	5.59	2.59	100.00

模型	R	R²	调整后R²	标准估算的错误
1	0.551	0.304	0.304	0.003653634
2	0.589	0.346	0.346	0.003540470
3	0.598	0.358	0.358	0.003508635
4	0.602	0.363	0.363	0.003495542
5	0.603	0.363	0.363	0.003494882
6	0.603	0.363	0.363	0.003494327
7	0.603	0.364	0.363	0.003493891

模型	变量	未标准化系数B	t	显著性	VIF
7	(常量)	1.95×10^-4	7.717	0.000
	DEM	1.05×10^-9	74.971	0.000	1.541
	坡度	2.48×10^-6	38.350	0.000	1.358
	坡向	1.67×10^-13	22.331	0.000	1.262
	道路	-6.38×10^-10	-8.371	0.000	2.594
	大型水体	9.53×10^-11	3.605	0.000	1.191
	公益林管护区	6.48×10^-10	3.268	0.001	1.002
	居民区	-3.50×10^-10	-2.925	0.003	2.476

模型	R	R²	调整后R²	标准估算的错误
1	0.564	0.318	0.318	0.003426681
2	0.577	0.333	0.333	0.003387655
3	0.578	0.334	0.334	0.003384938
4	0.579	0.335	0.335	0.003383251
5	0.579	0.335	0.335	0.003381761
6	0.579	0.336	0.336	0.003381011
7	0.580	0.336	0.336	0.003380763

模型	变量	未标准化系数B	t	显著性	VIF
7	(常量)	1.43×10^-5	0.479	0.632
	DEM	-9.83×10^-10	-58.599	0.000	2.773
	居民区	4.73×10^-4	23.294	0.000	3.267
	地形起伏度	-4.82×10^-5	-4.580	0.000	2.143
	道路	4.11×10^-10	7.202	0.000	1.103
	大型水体	-1.16×10^-10	-5.833	0.000	1.077
	坡度	-2.25×10^-7	-4.372	0.000	1.602
	公益林管护区	-6.10×10^-10	-2.576	0.010	1.012