Temporal and Spatial Variation Characteristics of Vegetation Cover on the Northern Slope of Daxing'anling Based on MODIS NDVI

doi:10.13466/j.cnki.lyzygl.2018.06.009

Abstract

Abstract:

With the northern slope of Daxing'anling as the research object,the spatial and temporal changes of vegetation index in the region over the past 10 years were analyzed by using MODIS/NDVI data from 2000 to 2009.The results showed that the vegetation index on the northern slope of Daxing'anling was the lowest on the monthly scale,the highest in March,and the peak from July to August.The seasonal variation was obvious,the summer vegetation index was the highest,and the winter vegetation index was the smallest.The spring warm temperature promoted the vegetation growth.The annual average vegetation index varies from 0.43 to 0.49.The temperature and precipitation have positive feedback on the annual vegetation index change within a certain interval.There is a significant difference in spatial distribution.The average vegetation index of the whole study area is 0.46.The vegetation index was mainly positive in the period of 10 years,and the vegetation coverage in the central and northeastern regions was greatly disturbed,and the fluctuations in time were strong.

Key words: the north slope of Daxing'anling, vegetation index, temperature, precipitation, time and space changes

CLC Number:

Q948

BA Yindelehei, BAO Xiang, ZHOU Mei, ZHAO Pengwu, SHI Liang, HAO Liangjie. Temporal and Spatial Variation Characteristics of Vegetation Cover on the Northern Slope of Daxing'anling Based on MODIS NDVI[J]. FOREST RESOURCES WANAGEMENT, 2018, (6): 50-56.

Figures/Tables 9

Fig.1

Fig.2

Fig.3

Tab.1

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

References 14

[1]	吕蒙, 钟悦之. NDVI在生态环境研究中的应用进展[J]. 农村经济与科技, 2011,22(6):11-14.
[2]	Fung T, Siu W. Environmental quality and its changes,an analysis using NDVI[J]. International Journal of Remote Sensing, 2000,21(5):1011-1024.
[3]	Justice C O. Monitoring the grasslands of semi-arid Africa using NOAA AVHRR data[J]. International Journal of Remote Sensing, 1986,7(11):1383-1622.
[4]	冯露, 岳德鹏, 郭祥. 植被指数的应用研究综述[J]. 林业调查规划, 2009,34(02):48-52.
[5]	刘爽, 宫鹏. 2000—2010年中国地表植被绿度变化[J]. 科学通报, 2012,57(16):1423-1434.
[6]	周锡饮, 师华定, 王秀茹. 气候变化和人类活动对蒙古高原植被覆盖变化的影响[J]. 干旱区研究, 2014,31(4):604-610.
[7]	闫敏, 李增元, 陈尔学, 等. 内蒙古大兴安岭根河森林保护区植被覆盖度变化[J]. 生态学杂志, 2016,35(2):508-515.
[8]	Barbosa H A, Huete A R, Baethgen W E. A 20-year study of NDVI variability overthe Northeast Region of Brazil[J]. Journal of Arid Environments, 2006,67(2):288-307.
[9]	王宗明, 国志兴, 宋开山, 等. 中国东北地区植被NDVI对气候变化的响应[J]. 生态学杂志, 2009,28(6):1041-1048.
[10]	李明泽, 王雪, 高元科, 等. 大兴安岭植被指数年际变化及影响因子分析[J]. 北京林业大学学报, 2015,37(5):1-10.
[11]	邓朝平, 郭铌, 王介民, 等. 近20余年来西北地区植被变化特征分析[J]. 冰川冻土, 2006,28(5):686-693.
[12]	徐海龙. 大兴安岭森林火灾过火面积预测的研究[D]. 哈尔滨:东北林业大学, 2009.
[13]	于文颖, 周广胜, 赵先丽, 等. 大兴安岭林区火灾特征及影响因子[J]. 气象与环境学报, 2009,25(4):1-5.
[14]	车宏韧, 袁国兴, 赵烈斌, 等. 浅谈森林火灾对森林生态系统的影响[J]. 内蒙古林业调查设计, 2009,32(3):108-109.

气候因子	春	夏	秋	冬
降水量	0.57579^a	0.32410^b	0.56899^a	-0.1124^b
气温	0.94445^a	0.58206^a	0.87790^a	-0.07738^b

[1]	BAI Xingwen, BU Rigude, HONG Guangyu, LI Wei, SHAO Feizhou, ZHANG Lei. Soil Moisture Characteristics and Its Response to Precipitation of Typical Plantation in Mu Us Sandy Land [J]. Forest and Grassland Resources Research, 2023, 0(6): 52-60.
[2]	JIAO Quanjun, ZHENG Yanfeng, HUANG Wenjiang, ZHANG Bing, ZHANG Heyi, SHI Yimeng, WU Fayun, FU Anmin. Detection of Discolored Trees Caused by Pine Wilt Disease Based on Vegetation Index Method Using Terrestrial Ecosystem Carbon Inventory Satellite Data [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(4): 123-131.
[3]	LI Xiaoyang, MA Xiuzhi, YANG Yupei, LI Changsheng. Diurnal Variation of Soil N₂O Emission Fluxes and Its Influencing Factors in Pinus tabulaeformis Plantation [J]. FOREST RESOURCES WANAGEMENT, 2023, 0(2): 88-95.
[4]	LONG Zhihao, LUO Peng, XU Dengping, LI Zhen, DAI Huabin. Inversion Research of Forest Stock Volume Using the Red Edge Bands of Sentinel-2A [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(2): 126-134.
[5]	YANG Dan, LI Chonggui, ZHANG Jiazheng. Research on Deep Learning Classification of Forest Types Based on Multi-temporal GF-1 Images [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(1): 142-149.
[6]	LIN Shuangshuang, ZHONG Jiusheng, HE Xin, JIANG Li, DUAN Jiwei, DAI Renli, HE Zhiyuan. Extraction Method of Urban Forest Land Information Based on Spectral Information [J]. FOREST RESOURCES WANAGEMENT, 2021, 0(3): 96-100.
[7]	ZOU Quancheng, XU Jiannan, FENG Xiaochuan, MU Xiaowei, HU Bin, LIU Hailing, KONG Fanli, WU Jing. Study on Forest Landscape and Quality Improvement Based on Multiple Methods [J]. FOREST RESOURCES WANAGEMENT, 2021, 0(2): 36-44.
[8]	DUAN Jiwei, ZHONG Jiusheng, JIANG Li, DAI Renli, HE Zhiyuan, LIN Shuangshuang, HE Xin. Study on Vegetation Extraction Method in Karst Areas Based on Visible Light Band of Sentinel 2 [J]. FOREST RESOURCES WANAGEMENT, 2020, 0(6): 143-152.
[9]	XU Ruijun, ZHOU Ruliang, LIU Qianfei, LI Wei, WANG Yanxia. Prediction and Simulation of the Suitable Habitat of Monochamus Alternatus under Climate Warming [J]. FOREST RESOURCES WANAGEMENT, 2020, 0(4): 109-116.
[10]	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.
[11]	MU Xiaowei, YAN Ping, XU Jiannan, CHEN Ping, CAO Xinguang. Research Progress on Blue Intensity of Tree Rings [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(5): 113-120.
[12]	LU Xianjian, HUANG Yuhui, YAN Hongbo, ZHOU Lv, WU Chenlong, ZHOU Bin, LUO Le. Study on Rapid Extraction of Eucalyptus Vegetation Information in Guangxi Based on GEE [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(5): 52-60.
[13]	GUO Jiqiang, PAN Jie. Dynamic Study on the Heat Island Effect and Landscape Pattern in Nanjing [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(3): 139-146.
[14]	WANG He, ZHOU Jun, QIN Xinhao, ZHANG Yun. Radial Growth Responses of Pinus densata to Climate Change in Haba Snow Mountain,Southwest China [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(2): 67-72.
[15]	REN Yi, WANG Haibin, XU Dengping. Estimation of Aboveground Biomass of Arbor Forest Based on Landsat 8 Image [J]. FOREST RESOURCES WANAGEMENT, 2018, 0(6): 38-44.