Vegetation Coverage Dynamics and Its Driving Factors in Inner Mongolia Based on FVC Information Entropy

doi:10.13466/j.cnki.lyzygl.2019.04.023

Abstract

Abstract:

In order to explore the temporal and spatial evolution of vegetation coverage in Inner Mongolia,based on the MOD13Q1 data from 2005 to 2018,and uses Fractional Vegetation Coverage(FVC) as the main indicator to analyze the change of vegetation coverage.Using information entropy,FVC index and other methods analyze the intensity and trend of vegetation coverage in Inner Mongolia.By using GIS spatial analysis method,the influence of river,precipitation and topography on vegetation coverage is analyzed.The results show that:(1) From the time point of view,between 2005 and 2015,the intensity of vegetation coverage in Inner Mongolia is relatively stable,and the trend of change shows a slow increase trend.(2) From the perspective of space,in 2005—2018,the degree of vegetation degradation in Inner Mongolia is high in the east and low in the west,and there is obvious longitude and zonal change that the vegetation coverage from east to west is getting lower and lower.(3) Precipitation,mining areas,rivers and topography are all influencing factors of vegetation coverage change.In areas with abundant rainfall,vegetation coverage is often high;vegetation coverage in mining areas is lower than non-mine areas;river development provides good water conditions for vegetation growth.The vegetation coverage is higher in the area near the river;the different terrain has a significant impact on the vegetation coverage.The low-gradient and low-altitude areas are more suitable for the growth of vegetation than the steeper and higher elevation areas.

Key words: fractional vegetation coverage, Inner Mongolia, time information entropy, vegetation change

CLC Number:

P237
X835

WANG Jin, YAN Qingwu, TAN Xueling, ZOU Yajing. Vegetation Coverage Dynamics and Its Driving Factors in Inner Mongolia Based on FVC Information Entropy[J]. FOREST RESOURCES WANAGEMENT, 2019, (4): 159-167.

Figures/Tables 10

Fig.1

Tab.1

Fig.2

Fig.3

Fig.4

Fig.5

Tab.2

Fig.6

Fig.7

Fig.8

References 20

[1]	张珍珍, 熊康宁, 黄登红 . 近30年来梵净山植被覆盖时空变化及影响因素分析[J]. 水土保持研究, 2018,25(2):183-189.
[2]	李登科, 范建忠, 权文婷 . 陕西省植被退化及其驱动因素分析[J]. 生态学杂志, 2015,34(10):2907-2913.
[3]	刘洋, 李诚志, 刘志辉 , 等. 1982—2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J]. 生态学报, 2016,36(19):6198-6208.
[4]	李晶晶, 闫庆武, 胡苗苗 . 基于地理加权回归模型的能源“金三角”地区植被时空演变及主导因素分析[J]. 生态与农村环境学报, 2018,34(8):700-708.
[5]	索安宁, 王兮之, 林勇 , 等. 基于遥感的黄土高原典型区植被退化分析——以泾河流域为例[J]. 遥感学报, 2009,13(2):291-299.
[6]	赵鑫, 王萍 . 基于MODIS的2008-2017年青岛市植被覆盖度动态变化分析[J]. 北京测绘, 2018,32(10):1133-1137.
[7]	杨绘婷, 徐涵秋, 施婷婷 , 等. 基于植被信息季节变换的植被覆盖度变化——以福建省连江县为例[J]. 应用生态学报, 2019(1):288-294.
[8]	穆少杰, 李建龙, 陈奕兆 , 等. 2001—2010年内蒙古植被覆盖度时空变化特征[J]. 地理学报, 2012,67(9):1255-1268.
[9]	宋志军, 赵欣, 周德 . 经济地理空间的混乱现象——“熵情”——兼分析技术评述[J]. 经济地理, 2018,38(6):35-43.
[10]	李杨 . 气候变化下植被响应的遥感分析与研究[D]. 四川:电子科技大学, 2015.
[11]	王超军 . 时间信息熵及在延河流域生态环境质量评价中的应用[D]. 北京:清华大学, 2016.
[12]	张宏斌, 杨桂霞, 李刚 , 等. 基于MODIS NDVI和NOAA NDVI数据的空间尺度转换方法研究——以内蒙古草原区为例[J]. 草业科学, 2009,26(10):39-45.
[13]	山西汾渭能源开发咨询有限公司. 中国煤矿煤质应用评价[M]. 太原: 山西科学技术出版社, 2012.
[14]	孙艳玲, 郭鹏, 延晓冬 , 等. 内蒙古植被覆盖变化及其与气候、人类活动的关系[J]. 自然资源学报, 2010,25(3):407-414.
[15]	贾坤, 姚云军, 魏香琴 , 等. 植被覆盖度遥感估算研究进展[J]. 地球科学进展, 2013,28(7):774-782.
[16]	王静 . 土地资源遥感监测与评价方法[M]. 北京: 科学出版社, 2006.
[17]	王超军, 吴锋, 赵红蕊 , 等. 时间信息熵及其在植被覆盖时空变化遥感检测中的应用[J]. 生态学报, 2017,37(21):
[18]	赵婷, 白红英, 邓晨晖 , 等. 2000 —2016年秦岭山地植被覆盖变化地形分异效应[J]. 生态学报, 2019(12):191-301.
[19]	何思源, 刘鸿雁, 任佶 , 等. 内蒙古高原东南部森林-草原交错带的地形-气候-植被格局和植被恢复对策[J]. 地理科学, 2008(2):253-258.
[20]	李俊刚, 闫庆武, 熊集兵 , 等. 贵州省煤矿区植被指数变化及其影响因子分析[J]. 生态与农村环境学报, 2016,32(3):374-378.

影响因素	分级	极低覆盖面积百分比	低覆盖面积百分比	中覆盖面积百分比	中高覆盖面积百分比	高覆盖面积百分比
年均降水量/mm	32~116	51.990	22.150	8.100	3.972	13.79
	116~202	0.971	4.776	9.769	8.185	76.30
	202~291	0.046	0.825	1.226	1.038	96.87
	291~389	0.003	0.065	0.277	0.481	99.17
	389~627	0.025	0.042	0.173	0.415	99.35
距河流距离/m	1000	5.59	3.50	4.04	3.22	83.64
	2000	6.91	3.01	4.21	3.35	82.52
	3000	7.91	3.19	4.35	3.58	80.98
海拔高度/m	85~489	0.08	0.76	1.61	1.79	95.76
	489~839	2.68	0.68	2.68	3.71	90.25
	839~1149	30.99	13.21	4.17	3.06	48.57
	1149~1446	38.58	18.99	12.15	5.85	24.43
	1446~3522	36.9	19.57	9.72	6.03	27.78
坡度/(°)	0~6	29.66	14.26	7.71	4.65	43.73
	6~15	9.34	3.05	2.48	2.74	82.39
	15~25	6.10	4.25	1.36	1.28	87.01
	25~35	10.58	15.61	3.43	2.07	68.30
	35~45	14.18	35.53	6.48	3.80	40.00
	>45	14.37	49.80	4.77	3.69	27.37
距矿区距离/m	500	3.19	4.70	18.09	20.29	53.73
	1000	3.00	4.02	17.09	19.59	56.30
	1500	3.01	3.93	16.09	17.32	59.66
	2000	3.31	3.89	15.20	15.41	62.19