Correlation between climatic factors and EVI based on MODIS time-series data in Guizhou
-
摘要: 文章利用2008至2011年中分辨率成像光谱辐射计(MODIS)250 m空间分辨率的增强型植被指数(EVI)作为检测植被覆盖程度的指标参数,分析了岩溶石漠化地区与非石漠化地区植被对于气候因子的响应。结果表明:(1)无论是石漠化地区还是非石漠化地区, EVI在干旱时期和非干旱时期,与气候因子——气温(T)的相关系数rEVI-T均大于0.5(rF=0.235,α=0.05),二者表现为显著相关;(2)在非石漠化地区,EVI在干旱时期和非干旱时期与气候因子——降水量(P)的相关系数rEVI-P为0.234、0.212,两者表现出不显著相关,但在石漠化地区则表现为相反的情况;(3)在干旱发生之后的一年时间, EVI在石漠化和非石漠化地区都与降水量有显著相关性,其相关系数rEVI-P分别为0.516和0.489。
-
关键词:
- 岩溶石漠化 /
- 气候因子 /
- 增强型植被指数(EVI) /
- 干旱
Abstract: To study the response of the vegetation of rocky desertification area to drought climate, this paper was focused on serious rocky desertification of karst development which is typical in Guizhou Province as the experimental area. Guizhou is located in southwest China, with longitude ranging from 103°36’ E to 109°35’E and latitude from 24°37’N to 29°13’N. The area is located in the eastern Yunnan-Guizhou Plateau with topographic low in the east and high in the west. The selection of experimental points was based on 19 benchmark standard meteorological stations which have direct rainfall record in the province (Chinese meteorological data network http://data.cma.gov.cn/). Wherein the criteria used to adjust that if a site fall in rocky desertification area can be referred to the book of "Remote sensing typical karst rocky desertification-GIS study: A case of Guizhou Province". According to the records, the drought widely occurred in southwest China in the spring of 2010, while it started in the fall of 2009 in Guizhou Province. In order to maintain the consistency of time series experimental data, the drought period is identified as from the fall of 2009 to the spring of 2010, whereas the periods from the fall of 2008 to the spring of 2009 and the autumn of 2010 to the spring of 2011 are not the drought. Using the enhanced vegetation index (EVI) as an indicator of vegetation coverage degree with the data derived from the 2008-2011 moderate resolution imaging spectroradiometer (MODIS,a spatial resolution of 250 m) ,as well as the average temperature (T) and precipitation (P) of weather station as climate factors, this paper comparatively analyzed the correlation coefficient r and F test results of the vegetation and climate factors in both karst rocky desertification area and the non-rocky desertification one. The results showed that,(1) Whether or not the sites fall in rocky desertification or non-rocky desertification area and the EVI of drought period or non-drought period, the correlation coefficient rEVI-T between EVI and climatic factors-temperature (T) were greater than 0.5 (rF=0.235,α= 0.05), which showed significant correlation of the two; (2) In non-rocky desertification area, the correlation coefficient rEVI-P of EVI in both drought period and non-drought period with the climatic factors-precipitation(P), were 0.234 and 0.212,respectively, which showed non-significant correlation of the both, but the case is contrary in rocky desertification area; (3) In a year after the drought, the correlation of the EVI in rocky desertification and non-rocky desertification regions with precipitation(P) were both significant, with the correlation coefficients rEVI-P of 0.516 and 0.489, respectively. -
[1] 熊康宁,黎平,周忠发,等. 喀斯特石漠化的遥感-GIS典型研究:以贵州省为例[C].北京地质出版社,2002. [2] 熊平生,袁道先,谢世友.我国南方岩溶山区石漠化基本问题研究进展[J].中国岩溶,2010,29(4):355-362. [3] 张军以,戴明宏,王腊春,等.生态功能优先背景下的西南岩溶区石漠化治理问题[J].中国岩溶,2014,33(4):464-472. [4] 王月容,卢琦,周金星,等. 贵州省岩溶石漠化地区生态服务价值损失评估[J]. 中国岩溶,2013,32(1):88-94. [5] 涂杰楠,杨亮,梁丽新,等. 基于RapidEye遥感影像的比值密度分割法在岩溶石漠化调查中的应用:以云南鹤庆县为例[J]. 中国岩溶,2015,34(3):298-307. [6] 蒙吉军,王钧. 20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应[J]. 地理研究,2007,26(5):857-865. [7] 王玉娟,杨胜天,吕涛,等. 喀斯特地区植被净第一性生产力遥感动态监测及评价:以贵州省中部地区为例[J]. 资源科学,2008,30(9):1421-1430. [8] 张勇荣,周忠发,马士彬,等. 基于NDVI的喀斯特地区植被对气候变化的响应研究:以贵州省六盘水市为例[J]. 水土保持通报,2014,34(4):114-117. [9] P A SCHULTZ , M S HALPERT. Global analysis of the relationships among a vegetation index, precipitation and land surface temperature[J].International Journal of Remote Sensing, 1995,16(15), 2755-2777. [10] Julio Caňón , Francina Domínguez , Juan B Valdes . Vegetation responses to precipitation and temperature: a spatiotemporal analysis of ecoregions in the Colorado River Basin [J].International Journal of Remote Sensing, 2011,32(20), 5665-5687. [11] Huete A, Justice C,Liu H. Development of vegetation and soil indices for MODIS-EOS[J]. Remote Sensing of Environment,1994,49(3):224-234. [12] 贵州省林业调查规划院.贵州省岩溶地区石漠化监测(调查)报告[R].2009. [13] R H Waring, N C Coops, W Fan, et al. MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous U.S.A. [J]. Remote Sensing of Environment,2006,103(2):218-226. [14] BRENT N HOLBEN. Characteristics of maximum-value composite images from temporal AVHRR data[J]. International Journal of Remote Sensing,1986,7(11):1417-1434. [15] 龙健,江新荣,邓启琼,等.贵州喀斯特地区土壤石漠化的本质特征研究[J].土壤学报,2005,42(3):419—427. [16] 刘玉,李林立,赵柯,等.岩溶山地石漠化地区不同土地利用方式下的土壤物理性状分析[J].水土保持学报,2004,18(5):142—145. [17] 白晓永,王世杰,陈起伟,等. 贵州土地石漠化类型时空演变过程及其评价[J]. 地理学报,2009,64(5):609-618. [18] 姚永慧. 中国西南喀斯特石漠化研究进展与展望[J]. 地理科学进展,2014,33(1):76-84. [19] 屠玉麟.贵州土地石漠化现状及成因分析[C]//李箐.石灰岩地区开发治理.贵阳:贵州人民出版社,1996:110-115. [20] 苏维词.中国西南岩溶山区石漠化的现状成因及治理的优化模式[J].水土保持学报,2002,16(2):29-32. [21] 王世杰.喀斯特石漠化:中国西南最严重的生态地质环境问题[J].矿物岩石地球化学通报,2003,22(2):120-126.
点击查看大图
计量
- 文章访问数: 1972
- HTML浏览量: 341
- PDF下载量: 1470
- 被引次数: 0