河南省植被覆盖指数变化及其对气候的响应

详细信息    查看全文 | 推荐本文 |

英文篇名：Vegetation index change and its response to climate in Henan Province 作者：余玉洋 ; 王银苹 ; 秦奋 ; 郭鹏飞 英文作者：YU Yuyang;WANG Yinping;QIN Fen;GUO Pengfei;College of Environment and Planning,Henan University;Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions,Ministry of Education; 关键词：河南省 ; 遥感 ; 植被覆盖度 ; 归一化植被指数 ; 时空变化 ; 气候 英文关键词：Henan Province;;remote sensing;;vegetation coverage;;NDVI;;spatio-temporal variations;;climate 中文刊名：FJLB 英文刊名：Journal of Forest and Environment 机构：河南大学环境与规划学院;黄河中下游数字地理技术教育部重点实验室; 出版日期：2019-05-15 出版单位：森林与环境学报 年：2019 期：v.39 基金：国家科技基础条件平台建设项目“国家地球系统科学数据共享平台:黄河下游科学数据中心” 语种：中文; 页：FJLB201903008 页数：7 CN：03 ISSN：35-1327/S 分类号：58-64

摘要

利用遥感数据分析河南省2000—2015年归一化植被指数(NDVI)时空变化及变化趋势,并分析NDVI与气候因子的空间相关性,探讨不同植被类型变化对气候因子的滞后性。结果表明:由于河南省东西部地形差异较大,NDVI分布呈现出西部和东部高,中部较低的空间分布特征;通过退耕还林还草政策的实施,促进了河南省植被生长条件的改善,2000—2015年河南省植被改善明显,植被改善区域占全省面积的88.08%,减少区域占6.61%,稳定不变区域占5.51%;不同植被类型的NDVI均值会存在差异性,河南省2000—2015年8种植被类型NDVI均值大小依次为阔叶林>针叶林>栽培植被>草丛>灌丛>沼泽>草甸>其他;河南省植被NDVI的变化与气温和降水具有显著相关性(P<0.05),并且16 a间河南省的植被大面积处于改善的趋势;不同的植被类型对气温和降水的相关系数是不同的,8种植被类型与降水和气温的最大响应期都在当月;从空间相关性看出降水的相关系数要高于气温,表明河南省年平均NDVI受降水的影响比气温的影响要显著。
        Remote sensing data was used to analyze the changes in vegetation cover in Henan Province from 2000 to 2015,focusing on trends and correlations between different vegetation types and climatic factors. The lag of different types of vegetation in response to climate was also discussed. The results showed that the spatial distribution of NDVI in Henan Province had high values in the west and east,and low values in the middle. From 2000 to 2015,the area of improved vegetation tended to be much larger than the area of degradation; the area of improved vegetation accounted for 88.08% of the province's area,while the degraded area accounted for 6.61%; 5.51% of the province's area remained stable. Since NDVI also reflects different vegetation types,analysis of the average NDVI values of 8 plant types in Henan Province from 2000 to 2015 are in the following order: broad-leaved forest>coniferous forest>cultivated vegetation>grass>shrub>swamp>meadow>other. The changes in vegetation cover in Henan Province is clearly correlated( P<0.05) to temperature and precipitation. Moreover,different types of vegetation are correlated with different degrees of temperature and precipitation. The response times of the 8 types of vegetation,precipitation,and temperature all reached their maximum values in the same month. In terms of spatial correlation,the correlation coefficient of precipitation is higher than that of temperature,indicating that the annual average NDVI in Henan Province is more greatly affected by precipitation than by temperature.

引文

[1]范娜,谢高低,张昌顺,等.2001年至2010年澜沧江流域植被覆盖动态变化分析[J].资源科学,2012,34(7):1 222-1 231.
    [2]袁丽华,蒋卫国,申文明,等.2000-2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7 798-7 806.
    [3]BOKHORST S,TOMMERVIK H,CALLAGHAN T V,et al.Vegetation recovery following extreme winter warming events in the sub-arctic estimated using NDVI from remote sensing and handheld passive proximal sensors[J].Environmental&Experimental Botany,2012,81:18-25.
    [4]WEN D.Altitudinal patterns and controls of plant and soil nutrient concentrations and stoichiometry in subtropical China[J].Scientific Reports,2016,6:24 261.
    [5]朴世龙,方精云.1982-1999年我国陆地植被活动对气候变化响应的季节差异[J].地理学报,2003,58(1):119-125.
    [6]李霞,李晓兵,陈云浩,等.中国北方草原植被对气象因子的时滞响应[J].植物生态学报,2007,31(6):1 054-1 062.
    [7]王宏,李霞,李晓兵,等.中国东北森林气象因子与NDVI的相关关系[J].北京师范大学学报(自然科学版),2005,41(4):425-430.
    [8]WANG J,MENG J J,CAI Y L.Assessing vegetation dynamic impacted by climate change in the southwestern karsts region of China with AVHRR NDVI and AVHRR NPP timeseries[J].Environmental Geology,2008,54:1 185-1 195.
    [9]崔晓临,白红英,尚小清.基于MODISNDVI的秦岭地区植被覆盖变化研究[J].西北大学学报(自然科学版),2012,42(6):1 021-1 026.
    [10]邓晨晖,白红英,高山,等.秦岭植被覆盖时空变化及其对气候变化与人类活动的双重响应[J].自然资源学报,2018,33(3):425-438.
    [11]GONG Z N,ZHAO S Y,GU J Z.Correlation analysis between vegetation coverage and climate drought conditions in North China during 2001-2013[J].Journal of Geographical Sciences,2017,70(2):717-729.
    [12]郭金停,胡远满,熊在平,等.中国东北多年冻土区植被生长季NDVI时空变化及其对气候变化的响应[J].应用生态学报,2017,28(8):2 413-2 422.
    [13]张笑鹤.西南地区NDVI和NPP时空动态及其与气候因子相关性分析[D].北京:中国林业科学研究院,2011.
    [14]胡玉玺,李轶鲲,杨萍.近15年中国西南地区植被覆盖度动态变化[J].国土资源遥感,2017,29(3):128-136.
    [15]朴世龙,方精云.最近18年来中国植被覆盖的动态变化[J].第四纪研究,2001,21(4):294-302.
    [16]马明国,王建,王雪梅.基于遥感的植被年际变化及其与气候关系研究进展[J].遥感学报,2006,10(3):421-431.
    [17]戴声佩,张勃,王海军,等.基于SPOT NDVI的祁连山草地植被覆盖时空变化趋势分析[J].地理科学进展,2010,29(9):1 075-1 080.
    [18]白建军,白江涛,王磊.2000-2010年陕北地区植被NDVI时空变化及其与区域气候的关系[J].地理科学,2014,34(7):882-888.