[1]WANG Wenhui,MA Xiangqing,ZOU Xianhua,et al.Spatiotemporal Variations of Vegetation Change in Fujian Province from 2000 to 2010[J].Research of Soil and Water Conservation,2017,24(04):234-239,246.
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Spatiotemporal Variations of Vegetation Change in Fujian Province from 2000 to 2010

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 04 Page number: 234-239,246 Column: Public date: 2017-08-28
Title:
Spatiotemporal Variations of Vegetation Change in Fujian Province from 2000 to 2010
Author(s):
WANG Wenhui1,2, MA Xiangqing1,2, ZOU Xianhua1,2, TIAN Chao1,2, JIN Quanfeng1,2, GUO Futao1,2
1. Fujian Agriculture and Forestry University, Fuzhou 350002, China;
2. Collaborative Innovation Center of Soil and Water Conservation, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Keywords:
trend analysis method; Mann-Kendall trend test; vegetation coverage; spatial-temporal change; Fujian Province
CLC:
Q948.2
DOI:
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Abstract:
The trend analysis method and Mann-Kendall trend test were applied to analyze the dynamic change of vegetation coverage in Fujian Province from 2000 to 2010 in oder to explore the spatiotemporal variations of vegetation cover in Fujian Province. The results showed that: (1) vegetation coverage of Fujian increased by the rate of 0.003 15 per year, but there was an obvious fluctuation in 2005; the maximum increase in the vegetation coverage was in July, August and September; (2) according to vegetation cover type classification, Fujian was mainly covered by high vegetation coverage, in total, about 15.84% of low, medium vegetation cover was converted to high vegetation cover during 2000 to 2010; (3) a significant increase in vegetation coverage in the urban areas like Putian, Ningde, Zhangzhou had changed drastically with the loss of vegetation coverage; regional trends showed that the percentage of each urban vegetation coverage in Fujian, was mainly decrease in the order: Ningde > Zhangzhou > Fuzhou > Quanzhou = Putian = Xiamen > Longyan > Nanping > Sanming; (4) different types of vegetation coverage in inter-annual variability scale had shown a steady upward trend, various types of vegetation cover average were between 0.596 and 0.799; in addition, the vegetation coverage decreased in the order: wetlands > grassland > crop > non-vegetation > broadleaf forest = needle leaved forest.
References:
[1] Gitelson A A, Kaufman Y J, Stark R, et al. Novel algorithms for remote estimation of vegetation fraction[J]. Remote Sensing of Environment, 2002,80(1):76-87.
[2] 甘春英.连江流域近18年来植被覆盖度变化分析[J].地理科学,2011,31(8):1019-1024.
[3] Sellers P J. Canopy reflectance, photosynthesis and transpiration[J]. International Journal of Remote Sensing, 1985,6(8):1335-1372.
[4] Wang G, Wente S, Gertner G Z, et al. Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thematic Mapper images[J]. International Journal of Remote Sensing, 2002,23(18):3649-3667.
[5] Cao L, Xu J, Yang Y. Vegetation Coverage Change Trend in Inner Mongolia of China during 1998-2008[M]//Advances in Computer Science, Intelligent System and Environment. Springer Berlin Heidelberg, 2011(106):159-163.
[6] 苗正红,刘志明,王宗明,等.基于MODIS NDVI的吉林省植被覆盖度动态遥感监测[J].遥感技术与应用,2010,25(3):387-393.
[7] 徐涵秋.区域生态环境变化的遥感评价指数[J].中国环境科学,2013,33(5):889-897.
[8] 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.
[9] 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.
[10] Peng J, Liu Y, Shen H, et al. Vegetation coverage change and associated driving forces in mountain areas of Northwestern Yunnan, China using RS and GIS[J]. Environmental Monitoring & Assessment, 2012,184(8):4787-4798.
[11] Deng-Ke L I, Fan J Z, Wang J. Change characteristics and their causes of fractional vegetation coverage(FVC)in Shaanxi Province[J]. Chinese Journal of Applied Ecology, 2010,21(11):2896-2903.
[12] 邵霜霜,师庆东.基于FVC的新疆植被覆盖度时空变化[J].林业科学,2015,51(10):35-42.
[13] 王莉雯,卫亚星,牛铮.基于遥感的青海省植被覆盖时空变化定量分析[J].环境科学,2008,29(6):1754-1760.
[14] 张宝庆,吴普特,赵西宁.近30年黄土高原植被覆盖时空演变监测与分析[J].农业工程学报,2011,27(4):287-293.
[15] 张东海,任志远,王晓峰,等.基于MODIS的陕西黄土高原植被覆盖度变化特征及其驱动分析[J].生态与农村环境学报,2013,29(1):29-35.
[16] 李双双,延军平,万佳.近10年陕甘宁黄土高原区植被覆盖时空变化特征[J].地理学报,2012,67(7):960-970.
[17] 相莹莹,黄麟,曹巍,等.陕甘宁地区退耕还林/草的生态成效分析[J].安徽农业科学,2014(17):5524-5528.
[18] 张春桂,潘卫华,陈惠,等.利用多时相中分辨率卫星影像监测福建省植被覆盖变化[J].遥感技术与应用,2007,22(5):613-617.
[19] 彭璐,李小梅,傅佳丽,等.福建省平潭岛植被覆盖变化及其对地表温度影响的定量研究[J].福建师范大学学报:自然科学版,2016,32(1):78-85.
[20] 张灿,徐涵秋,张好,等.南方红壤典型水土流失区植被覆盖度变化及其生态效应评估:以福建省长汀县为例[J].自然资源学报,2015,30(6):917-928.
[21] 徐涵秋,陈本清.厦门市植被变化的遥感动态分析[J].地球信息科学,2003,5(2):105-108.
[22] 国家林业局.第八次全国森林资源清查结果[J].林业资源管理,2014(1):1-2.
[23] 陈志强,陈志彪,陈明华.福建省水土流失强度的地统计分析[J]. 自然资源学报, 2011,26(8):1394-1400.
[24] 史世莲,章文波,王国燕.北京地区植被盖度提取及其分布变化研究[J].遥感技术与应用,2014,29(5):866-872.
[25] 李小亚,张勃,靳自宝.基于MODIS-NDVI的甘肃河东地区植被覆盖度动态监测[J].水土保持研究,2013,20(1):112-115.
[26] 王冬梅,孟兴民,邢钊,等.基于RS的武都区植被覆盖度动态变化及其驱动力分析[J].干旱区资源与环境,2012,26(11):92-97.
[27] 成军锋,贾宝全,赵秀海,等.干旱半干旱地区植被覆盖度的动态变化分析:以毛乌素沙漠南部为例[J].干旱区资源与环境,2009,23(12):172-176.
[28] 丁关青,陈松岭,郭云开.基于遥感的土地复垦植被覆盖度评价[J].中国土地科学,2009,23(11):72-75.
[29] Stow D, Daeschner S, Hope A, et al. Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the1990s[J]. International Journal of Remote Sensing, 2003,24(5):1111-1117.
[30] 范建忠,李登科,董金芳.陕西省重点生态建设工程区植被恢复状况遥感监测[J].农业工程学报,2012,28(7):228-234.
[31] Hamed K H, Rao A R. A modified Mann-Kendall trend test for autocorrelated data[J]. Journal of Hydrology, 1998,204(1/4):182-196.
[32] Hirsch R M, Slack J R, Smith R A. Techniques of Trend Analysis for Monthly Water Quality Data[J]. Water Resources Research, 1982,18(18):107-121.
[33] 陈学兄,张小军,陈永贵,等.陕西省1998-2008年植被覆盖度的时空变化研究[J].武汉大学学报:信息科学版,2013,38(6):674-678.
[34] 陈增文.基于NDVI的生态环境变化分析:以福建省龙岩市长汀县为例[J].化学工程与装备,2012(6):204-207.
[35] Wang Z, Daun C, Li Y, et al. Assessment of the restoration of a degraded semi-humid evergreen broadleaf forest ecosystem by combined single-indicator and comprehensive model method[J]. Ecological Engineering, 2010,36(6):757-767.
[36] Deng L, Shangguan Z P, Rui L I. Effects of the grain-for-green program on soil erosion in China[J]. International Journal of Sediment Research, 2012,27(1):120-127.
[37] 徐凯健,曾宏达,张仲德,等.亚热带福建省森林生长季与气温、降水相关性的遥感分析[J].地球信息科学学报,2015,17(10):1249-1259.
[38] Cai H, Yang X, Wang K, et al. Is forest restoration in the southwest China karst promoted mainly by climate change or human-induced factors[J]. Remote Sensing, 2014,6(10):9895-9910.
[39] Qin C, Li J Y, Chen H F, et al. Temporal and Spatial Evolution of Vegetation Cover and Its Relationship With Climate Factors in Shaanxi Province[J]. Chinese Journal of Agrometeorology, 2015,36(1):108-114.
[40] 戴声佩,张勃,王海军.中国西北地区植被NDVI的时空变化及其影响因子分析[J].地球信息科学学报,2010,12(3):315-321.
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