张掖市归一化植被指数与气候变化的相关性研究
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摘要
为了研究张掖市气候变化与植被覆盖关系,选择张掖市1982—2015年逐月NASA GIMMS归一化植被指数(NDVI)、气温和降水资料,运用统计学方法和Pearson相关系数法,分析了NDVI与气温、降水的年、季节变化趋势以及NDVI与气候因子气温、降水的相关性。结果表明:年、各季节NDVI呈增长趋势,夏季增长最快;年、各季节气温呈上升趋势,夏季上升最快;年降水量呈增长趋势,春、夏季降水量呈减少趋势,秋、冬季降水量呈增加趋势,秋季增多最大。年和春、夏、秋三季气温与年NDVI显著相关,相关系数通过了α=0.01的显著性水平检验,冬季气温与NDVI呈弱负相关。年、各季节降水量与NDVI相关性都不显著。植被生长对气候变化存在滞后效应,春、夏、秋三季气温与下一季NDVI的相关性显著,冬季相关性不显著。各季节降水量与下一季NDVI相关性不显著。
The aim is to research the correlation between climate change and vegetation cover. Based on the data of monthly NASA GIMMS normalized difference vegetation index(NDVI), temperature and precipitation of Zhangye from 1982 to 2015, annual and seasonal variation trend of NDVI, temperature and precipitation and correlation between NDVI and climatic factors including temperature and precipitation were analyzed by using statistical methods and Pearson correlation coefficient method. The results showed that the yearly and seasonal NDVI revealed an increasing tendency, and the growth was the fastest in summer. Yearly and seasonal temperature showed a rising tendency, and the rise was the fastest in summer. Yearly precipitation revealed an increasing tendency, the precipitation in spring and summer showed a decreasing trend, and the precipitation in autumn and winter showed an increasing trend, and the growth was the largest in autumn. Annual, spring,summer and autumn temperature presented significant correlations with yearly NDVI, and the correlation coefficients passed α = 0.01 significance test. Winter temperature showed a weak negative correlation with NDVI. There were no significant correlations between annual and seasonal precipitation and NDVI. The climate change had a lagging effect on vegetation growth. Three seasons'(spring, summer and autumn)temperature had significant correlations with the next seasonal NDVI, and the correlation was not significant in winter. There was no significant correlation between seasonal precipitation and the next seasonal NDVI.
The aim is to research the correlation between climate change and vegetation cover. Based on the data of monthly NASA GIMMS normalized difference vegetation index(NDVI), temperature and precipitation of Zhangye from 1982 to 2015, annual and seasonal variation trend of NDVI, temperature and precipitation and correlation between NDVI and climatic factors including temperature and precipitation were analyzed by using statistical methods and Pearson correlation coefficient method. The results showed that the yearly and seasonal NDVI revealed an increasing tendency, and the growth was the fastest in summer. Yearly and seasonal temperature showed a rising tendency, and the rise was the fastest in summer. Yearly precipitation revealed an increasing tendency, the precipitation in spring and summer showed a decreasing trend, and the precipitation in autumn and winter showed an increasing trend, and the growth was the largest in autumn. Annual, spring,summer and autumn temperature presented significant correlations with yearly NDVI, and the correlation coefficients passed α = 0.01 significance test. Winter temperature showed a weak negative correlation with NDVI. There were no significant correlations between annual and seasonal precipitation and NDVI. The climate change had a lagging effect on vegetation growth. Three seasons'(spring, summer and autumn)temperature had significant correlations with the next seasonal NDVI, and the correlation was not significant in winter. There was no significant correlation between seasonal precipitation and the next seasonal NDVI.
引文
[1]周宽.朝鲜植被动态及其对气候变化响应的研究[D].长春:东北师范大学,2013.
[2]单楠.京津风沙源区植被指数(NDVI)对气候变化响应研究[D].北京:中国林业科学研究员,2013.
[3]李登科,郭铌,何慧娟.陕北长城沿线风沙区植被指数变化及其与气候的关系[J].生态学报,2007,11(4):4620-4629.
[4]陈婉佳,刘蓉蓉,何政伟.基于MODIS的植被指数变化研究及其与气候因子的关系分析[J].测绘与空间地理信息,2015,38(9):77-80.
[5]姜晓勇,张勃,张遇春.张掖地区近35年来气温和降水的变化[J].干旱区资源与环境,2008,22(2):81-86.
[6]张存杰.全球变暖对西北地区干旱气候变化的影响研究[D].兰州:中国科学院寒区旱区环境与工程研究所,2009.
[7]杨述平.归一化植被指数测量技术研究[J].应用基础与工程科学学报,2004,12(3):328-332.
[8]王莺,李耀辉,孙旭映.气候变化对黄河源区生态环境的影响[J].草业科学,2015,32(4):539-551.
[9]梁继运,万力,金晓媚,等.基于STOP-VEGETATION数据的张掖盆地植被覆盖变化动态分析[J].科技导报,2009,25(12):65-70.
[10]秦大河,王绍武,董光荣.中国西部环境演变评估[M].第一卷.北京:科学出版社,2002:122-227.
[11]周兆叶,储少林,王志伟,等.基于NDVI的植被覆盖度的变化分析—以甘肃省张掖市甘州区为例[J].草业科学,2008,25(12):23-29.
[12]吴文斌,杨鹏,唐华俊,等.两种NDVI时间序列数据拟合方法比较[J].农业工程学报,2009,25(11):183-188.
[13]邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2010.
[14]李娜,殷学永,马金柱,等.基于MODIS的河南省植被指数提取与分析[J].安徽农业科学,2011,39(28):17599-17600.
[15]胡晓雯,曹爽,赵显富.基于植被指数的绿地信息提取的比较[J].南京信息工程大学学报:自然科学版,2012,4(5):420-425.
[16]魏凤英.现代气候统计诊断与预测技术(第二版)[M].北京:气象出版社,2007:37-41.
[17]施能,陈家其,屠其璞.中国近100年来4个年代际的气候变化特征[J].气象学报,1995,53(4):431-439.
[18]王平.基于CLM模型的植被变化对黄土高原气温和降水影响研究[D].南京:南京信息工程大学,2013.
[19]崔林丽,史军.中国华东及其周边地区NDVI对气温和降水的季节响应[J].资源科学,2012,34(1):81-90
[20]李学敏,周定文,范广洲,等.青藏高原NDVI与西南地区气温滞后关系的奇异值分解[J].应用气象学报,2008,19(2):161-170.
[2]单楠.京津风沙源区植被指数(NDVI)对气候变化响应研究[D].北京:中国林业科学研究员,2013.
[3]李登科,郭铌,何慧娟.陕北长城沿线风沙区植被指数变化及其与气候的关系[J].生态学报,2007,11(4):4620-4629.
[4]陈婉佳,刘蓉蓉,何政伟.基于MODIS的植被指数变化研究及其与气候因子的关系分析[J].测绘与空间地理信息,2015,38(9):77-80.
[5]姜晓勇,张勃,张遇春.张掖地区近35年来气温和降水的变化[J].干旱区资源与环境,2008,22(2):81-86.
[6]张存杰.全球变暖对西北地区干旱气候变化的影响研究[D].兰州:中国科学院寒区旱区环境与工程研究所,2009.
[7]杨述平.归一化植被指数测量技术研究[J].应用基础与工程科学学报,2004,12(3):328-332.
[8]王莺,李耀辉,孙旭映.气候变化对黄河源区生态环境的影响[J].草业科学,2015,32(4):539-551.
[9]梁继运,万力,金晓媚,等.基于STOP-VEGETATION数据的张掖盆地植被覆盖变化动态分析[J].科技导报,2009,25(12):65-70.
[10]秦大河,王绍武,董光荣.中国西部环境演变评估[M].第一卷.北京:科学出版社,2002:122-227.
[11]周兆叶,储少林,王志伟,等.基于NDVI的植被覆盖度的变化分析—以甘肃省张掖市甘州区为例[J].草业科学,2008,25(12):23-29.
[12]吴文斌,杨鹏,唐华俊,等.两种NDVI时间序列数据拟合方法比较[J].农业工程学报,2009,25(11):183-188.
[13]邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2010.
[14]李娜,殷学永,马金柱,等.基于MODIS的河南省植被指数提取与分析[J].安徽农业科学,2011,39(28):17599-17600.
[15]胡晓雯,曹爽,赵显富.基于植被指数的绿地信息提取的比较[J].南京信息工程大学学报:自然科学版,2012,4(5):420-425.
[16]魏凤英.现代气候统计诊断与预测技术(第二版)[M].北京:气象出版社,2007:37-41.
[17]施能,陈家其,屠其璞.中国近100年来4个年代际的气候变化特征[J].气象学报,1995,53(4):431-439.
[18]王平.基于CLM模型的植被变化对黄土高原气温和降水影响研究[D].南京:南京信息工程大学,2013.
[19]崔林丽,史军.中国华东及其周边地区NDVI对气温和降水的季节响应[J].资源科学,2012,34(1):81-90
[20]李学敏,周定文,范广洲,等.青藏高原NDVI与西南地区气温滞后关系的奇异值分解[J].应用气象学报,2008,19(2):161-170.
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