PDF Download

[1]ZHANG Zhenzhen,XIONG Kangning,HUANG Denghong.Analysis on the Spatiotemporal Change and Influence Factors of Vegetation Cover in Fanjingshan Mountain over the Last 30 Years[J].Research of Soil and Water Conservation,2018,25(02):183-189.

Copy

Analysis on the Spatiotemporal Change and Influence Factors of Vegetation Cover in Fanjingshan Mountain over the Last 30 Years

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 25 Number of periods: 2018 02 Page number: 183-189 Column: Public date: 2018-04-03

Title:: Analysis on the Spatiotemporal Change and Influence Factors of Vegetation Cover in Fanjingshan Mountain over the Last 30 Years

Author(s):: ZHANG Zhenzhen, XIONG Kangning, HUANG Denghong; School of Karst Science, Guizhou Normal University/State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China

Keywords:: vegetation coverage; spatiotemporal variation; topography; anthropogenic activities; remote sensing monitoring; World Natural Heritage

CLC:: Q948.15;P463.22

DOI:: -

Abstract:: Fanjingshan National Nature Reserve was selected as a nominated World Natural Heritage for its unique advantages in biodiversity and ecological process. To reveal the correlation between the spatial distribution of vegetation coverage and environment factors and the variation of the former, Landsat TM/ETM/OLI remote sensing images in 1990, 2002 and 2016 were selected to extract vegetation coverage and land use data and analyze the temporal and spatial variation characteristics of vegetation caverage in Fanjingshan. The results showed that:(1) over the past three decades, vegetation coverage decreased first and then increased, and the sensitivity of vegetation coverage change in the buffer zone was higher than that in the nominated property; (2) the terrain factor influenced the spatial distribution of each grade vegetation coverage in water and heat conditions at different degrees; the vegetation coverage in low mountain (< 900 m) and mid-low mountain (900~1 600 m) was high, which accounted for a larger proportion of the area; the vegetation coverage in slope, abrupt slope and steep slope accounted for 33.33%, 28.48% and 12.18%, respectively; the vegetation coverage in sunny slope and semi sunny slope was higher than that in shady slope and semi shady slope, and the difference was obvious; (3) with the gradual transformation of surface landscape caused by anthropogenic activities, the vegetation coverage change appeared blocky and striped spatial agglomeration; the urbanization in the buffer zone had brought increasing pressure to ecological environment; the construction of tourist facilities in the nominated property had led to the decreasing trend of vegetation coverage.

References:: [1] 梁应权.植被监测及趋势分析:植被数量生态学中几个理论问题的探讨[J].植物生态学报,2008,32(4):967-976.
[2] Leprieur C, Verstraete M M, Pinty B. Evaluation of the performance of various vegetation indices to retrieve vegetation cover from AVHRR data[J]. Remote Sensing Reviews, 1994,10(4):265-284.
[3] 陈晋,陈云浩,何春阳,等.基于土地覆盖分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001,5(6):416-422.
[4] 陈涛,牛瑞卿,李平湘,等.密云水库流域2000-2005年植被覆盖度变化监测[J].环境科学与技术,2011,34(S2):190-195.
[5] 陈云浩,李晓兵,史培军,等.北京海淀区植被覆盖的遥感动态研究[J].植物生态学报,2001,25(5):588-593.
[6] 胡学平,王式功,许平平,等.2009-2013年中国西南地区连续干旱的成因分析[J].气象,2014(10):1216-1229.
[7] 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.
[8] Jin X, Wan L, Zhang Y K, et al. Quantification of spatial distribution of vegetation in the Qilian Mountain area with MODIS NDVI[J]. International Journal of Remote Sensing, 2009,30(21):5751-5766.
[9] Kaufman Y J, Tanré D. Atmospherically resistant vegetation index(ARVI) for EOS-MODIS[J]. IEEE Transactions on Geoscience & Remote Sensing, 1992,30(2):261-270.
[10] 李崇巍,刘丽娟,孙鹏森,等.岷江上游植被格局与环境关系的研究[J].北京师范大学学报:自然科学版,2005,41(4):404-409.
[11] Wang H, Liu G H, Zong-Shan L I, et al. Driving force and changing trends of vegetation phenology in the Loess Plateau of China from 2000 to 2010[J]. Journal of Mountain Science,2016,13(5):844-856.
[12] Milne A K, O’NEILL A L. Mapping and monitoring land cover in the Willandra Lakes World Heritage Region[J]. International Journal of Remote Sensing, 1990,11(11):2035-2049.
[13] 杨海龙,李迪强,朵海瑞,等.梵净山国家级自然保护区植被分布与黔金丝猴生境选择[J].林业科学研究,2010,23(3):393-398.
[14] 周忠发,秦青春,谢湛明,等.基于"3S"的梵净山自然保护区植被分布探讨[J].测绘与空间地理信息,2006,29(3):4-6.
[15] 杨波,何露.农业文化遗产研究的GIS应用前景分析[J].中国农业资源与区划,2015,36(2):139-144.
[16] Bayramov E, Buchroithner M F, Mcgurty E. Determination of main climate and ground factors controlling vegetation cover regrowth along oil and gas pipelines using multiple, spatial and geographically weighted regression procedures[J]. Environmental Earth Sciences, 2012,66(7):2047-2062.
[17] Jamali S, Seaquist J, ArdöJ, et al. Investigating temporal relationships between rainfall, soil moisture and MODIS-derived NDVI and EVI for six sites in Africa[J]. Savanna, 2011,21(3):547-553.
[18] Jin X, Wan L, Zhang Y K, et al. Quantification of spatial distribution of vegetation in the Qilian Mountain area with MODIS NDVI[J]. International Journal of Remote Sensing, 2009,30(21):5751-5766.
[19] 卢德彬,禹真,毛婉柳,等.基于GIS和分形理论的山区土地利用空间结构研究[J].水土保持研究,2016,24(2):220-223.
[20] Cong N, Piao S, Chen A, et al. Spring vegetation green-up date in China inferred from SPOT NDVI data:A multiple model analysis[J]. Agricultural and Forest Meteorology, 2012,165:104-113.
[21] 潘建平,叶焕倬.基于遥感分类的植被覆盖度提取[J].测绘信息与工程,2007,32(6):17-19.
[22] 宋翔,颜长珍,朱艳玲,等.黄河源区土地利用/覆被变化及其生态环境效应[J].中国沙漠,2009,29(6):1049-1055.
[23] 孙家柄.遥感原理与应用[M].武汉:武汉大学出版社,2003.
[24] Tuanmu M N, Viña A, Winkler J A, et al. Climate-change impacts on understorey bamboo species and giant pandas in China’s Qinling Mountains[J]. Nature Climate Change, 2013,3(3):249-253.
[25] Turner B L I, Clark W C, Kates R W, et al. The earth as transformed by human action:global and regional changes in the biosphere over the past 300 years[M]. Cambridge, UK:Cambridge University Press, 1993.
[26] 王静.土地资源遥感监测与评价方法[J].北京:科学出版社,2006.
[27] 邢著荣,冯幼贵,杨贵军,等.基于遥感的植被覆盖度估算方法述评[J].遥感技术与应用,2009,24(6):849-854.
[28] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
[29] 吴英,张万幸,张丽琼,等.基于DEM的地形与植被分布关联分析[J].东北林业大学学报,2012,40(11):96-98.
[30] 烟贯发,万鲁河,温智虹,等.基于RS和DEM的长白山天池植被分布的坡度坡向分析[J].测绘通报,2012(S1):233-236.
[31] 杨三红,李晋敏.基于DEM的森林空间分布格局的研究[J].山西林业科技,2008(2):13-15.
[32] 汪有奎,郭生祥,汪杰,等.甘肃祁连山国家级自然保护区森林生态系统服务价值评估[J].中国沙漠,2013,33(6):1905-1911.
[33] 于树梅,刘景时,袁金国.基于SPOT-VGT NDVI的西藏羊卓雍错流域地表覆被变化研究[J].光谱学与光谱分析,2010(6):1570-1574.
[34] 王瑞燕,赵庚星,周伟,等.土地利用对生态环境脆弱性的影响评价[J].农业工程学报,2008,24(12):215-220.
[35] 贺肖芳,陈燕,朱敏,等.盐城海岸带植被覆盖度时空变化及其与土地利用变迁响应研究[J].中南林业科技大学学报,2016,36(2):101-105.

Similar References:

Memo

Last Update: 1900-01-01