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Volume 37 Issue 6
Dec.  2018
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Article Contents
CAO Yang, XIONG Kangning, DONG Xiaochao, XIAO Hua, QUAN Mingying. Change of vegetation coverage and its response to climatic factors in the Guanling-Zhenfeng demonstration area for reduction and control of rock desertification[J]. CARSOLOGICA SINICA, 2018, 37(6): 850-858.
Citation: CAO Yang, XIONG Kangning, DONG Xiaochao, XIAO Hua, QUAN Mingying. Change of vegetation coverage and its response to climatic factors in the Guanling-Zhenfeng demonstration area for reduction and control of rock desertification[J]. CARSOLOGICA SINICA, 2018, 37(6): 850-858.

Change of vegetation coverage and its response to climatic factors in the Guanling-Zhenfeng demonstration area for reduction and control of rock desertification

  • Publish Date: 2018-12-25
  • This paper studies the variation of vegetation coverage and the effect of climatic factors on the vegetation coverage in a demonstration area for reduction and control of karst rocky desertification. Based on the 30 m(16 d) resolution Landsat images during 2006-2015, using the method of maximum value composite (MVC), normalized difference vegetation index (NDVI), and correlation and partial correlation analyses, we systematically examine the spatial and temporal variation characteristics and the trend of vegetation index of the demonstration area and its relationship with climate factors. The results show that, (1) the annual maximum average value of NDVI between 2006 and 2015 is 0.39, which is higher in the north and south boundary regions of the demonstration area and lower in the south bank of the Huajiang river; (2) Since 2006, the places with extremely low(-1.210), low(-0.669) and moderate(-0.729) NDVI values exhibited a falling trend, those with high(1.359) and extremely high(1.247) increased overall significantly; (3) On the monthly scale, the NDVI of this month and the rainfall and temperature of this month, last month and month before the last one all pass the correlation coefficient test(P<0.05), and the correlation between NDVI and rainfall this month is higher than that between NDVI and temperature(RNDVI rainfall =0.782), the correlation between NDVI of this month and temperature of last month is higher than that between NDVI of this month and rainfall of last month(RNDVI temperature =0.771). (4) The vegetation growth of the demonstration area has no lag phase to rainfall, but a month lag to air temperature.

     

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  • [1]
    孙红雨,王长耀,牛铮,等.中国地表植被覆盖变化及其与气候因子关系:基于NOAA时间序列数据分析[J].遥感学报,1998,2(3):204-210.
    [2]
    陈效逑,王恒. 1982-2003年内蒙古植被带和植被覆盖度的时空变化[J].地理学报,2009,64(1):84-94.
    [3]
    牛建明.内蒙古主要植被类型与气候因子关系的研究[J].应用生态学报,2000,11(1):47-52.
    [4]
    王兮之,甘春英,梁钊雄,等.粤北岩溶山区连江流域植被覆盖度动态变化研究[J].中国岩溶,2010,29(4): 425-433.
    [5]
    高贵龙,熊康宁,邓自民,等.喀斯特的呼唤与希望:贵州喀斯特生态环境建设与可持续发展[M].贵阳:贵州科技出版社, 2003:12-14.
    [6]
    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.
    [7]
    张含玉,方怒放,史志华.黄土高原植被覆盖时空变化及其对气候因子的响应[J].生态学报,2016,36(13):1360-1368.
    [8]
    Pettorelli N, Vik J O, Mysterud A, et al. Using the satellite derived NDVI to assess ecological responses to environmental change[J]. Trends in ecology & evolution,2005,20(9):503-510.
    [9]
    王丝丝,于兴修,刘正佳.沂蒙山区植被 NDVI 的时空特征及其对水热条件的响应[J].遥感技术与应用, 2014,29(1):61-68.
    [10]
    Hall F G,Huemmrich K F,Goetz S J, et al. Satellite remote sensing of surface energy balance:Success, failures,and unresolved issues in FIFE[J].Journal of Geophysical Research:Atmospheres,1992,97(D17): 19061-19089.
    [11]
    Li Z,Kafatos M.Interannual variability of vegetation in the United States and its relation to El Nino/Southern Oscillation[J].Remote Sensing of Environment,2000,71(3):239-247.
    [12]
    周伟,刚成诚,李建龙,等.1982-2010年中国草地覆盖度的时空动态及其对气候变化的响应[J].地理学报,2014,69(1):15-30.
    [13]
    包刚,包玉海,覃志豪,等.近10年蒙古高原植被覆盖变化及其对气候的季节响应[J].地理科学,2013, 33(5):613-621.
    [14]
    吕华丽.长江流域植被覆盖变化及其驱动力因子研究[D].武汉:华中农业大学,2012:12-15.
    [15]
    熊俊楠,张昊,彭超,等.汶川地震灾区植被覆盖度变化与地形因子的关系[J].水土保持通报, 2018,38(6):24-31.
    [16]
    冯莉莉,何贞铭,刘学锋,等.基于MODIS-NDVI数据的吉林省植被覆盖度及其时空动态变化[J].中国科学院大学学报,2014,31(4):492-499.
    [17]
    张春森,胡艳,史晓亮.基于AVHRR和MODISNDVI数据的黄土高原植被覆盖时空演变分析[J].应用科学学报,2016,34(6):702-712.
    [18]
    Tian Y, Bai X, Wang S, et al. Spatial-temporal changes of vegetation cover in Guizhou Province, Southern China[J]. Chinese Geographical Science,2017,27(1):25-38.
    [19]
    李恒凯,雷军,杨柳.基于Landsat影像的离子稀土矿区植被覆盖度提取及景观格局分析[J].农业工程学报, 2016,32(10):267-276.
    [20]
    李艺梦,祁元,马明国.基于Landsat 8影像的额济纳荒漠绿洲植被覆盖度估算方法对比研究[J].遥感技术与应用,2016,31(3):590-598.
    [21]
    赵丽红,王屏,欧阳勋志,等.南昌市植被覆盖度时空演变及其对非气候因素的响应[J].生态学报,2016, 36(12):3723-3733.
    [22]
    熊康宁,陈永毕,陈浒,等.点石成金-贵州石漠化治理技术与模式[M].贵阳:贵州科技出版社,2011:22-32.
    [23]
    Carlson T N,Ripley D A.On the relation between NDVI,fractional vegetation cover,and leaf area index[J].Remote sensing of Environment,1997,62(3):241-252.
    [24]
    Gamon J A,Penuelas J,Field C B.A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency[J].Remote Sensing of environment,1992,41(1):35-44.
    [25]
    梁钊雄,王兮之,魏兴琥,等.基于TM影像的广西河池市岩溶地区植被覆盖度的动态变化研究[J].中国岩溶,2014,33(2):208-215.
    [26]
    Turner D P,Koerper G J,Harmon M E,et al.Carbon sequestration by forests of the United States.Current status and projections to the year 2040[J].Tellus B,1995,47(2):232-239.
    [27]
    张雅梅,熊康宁,安裕伦,等.花江喀斯特峡谷示范区土壤侵蚀调查[J].水土保持通报,2003,23(2):19-22.
    [28]
    苏维词.花江喀斯特峡石漠化治理示范区水资源赋存特点及开发条件评价[J].水文地质工程地质,2007,34(6):37-40.
    [29]
    张雅梅,熊康宁,安裕伦.应用TM影像进行大比例尺土地利用类型划分探讨:以花江喀斯特峡谷示范区为例[J].中国岩溶,2003,22(2):150-155.
    [30]
    黄金国, 魏兴琥, 王兮之,等. 粤北典型岩溶区石漠化过程中植被退化对土壤有机质和养分含量的影响[J]. 中国土壤与肥料, 2014(1):15-18.
    [31]
    张国斌,张勃,王东,等.近14年西南地区植被季节变化及与气候关系[J].遥感信息,2016,31(1):89-95.
    [32]
    檀迪.喀斯特石漠化地区特色经林果标准化种植与衍生产业技术初步研究[D].贵阳:贵州师范大学,2016:1-2.
    [33]
    时忠杰,高吉喜,徐丽宏,等.内蒙古地区近25年植被对气温和降水变化的影响[J].生态环境学报,2011,20(11):1594-1601.
    [34]
    丁一汇,李巧萍,董文杰.植被变化对中国区域气候影响的数值模拟研究[J].气象学报,2005,63(5):613-621.
    [35]
    张文帅. 陕甘宁黄土高原区NDVI变化及其在土地利用变化检测中的适宜性[D].北京:中国科学院研究生院(教育部水土保持与生态环境研究中心),2014:38-39.
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