WANG Guoshuai,SUN Guikai,WEI Yixiong,et al.Spatiotemporal Variation of NDVI and Its Driving Factors Analysis in Chengbihe Basin from 1990 to 2019[J].Research of Soil and Water Conservation,2022,29(04):207-214.
1990—2019年澄碧河流域NDVI时空动态及驱动因素分析
- Title:
- Spatiotemporal Variation of NDVI and Its Driving Factors Analysis in Chengbihe Basin from 1990 to 2019
- 文章编号:
- 1005-3409(2022)04-0207-08
- Keywords:
- NDVI; GEE; spatial-temporal changes; Chengbihe Basin
- 分类号:
- Q948
- 文献标志码:
- A
- 摘要:
- 为了解西南喀斯特流域的植被恢复状况及其驱动因子,以澄碧河流域为例,基于GEE平台和1990—2019年研究区Landsat遥感影像,采用Sen+Mann-Kendall趋势、偏相关等方法,分析了澄碧河流域归一化植被指数(NDVI)时空演变特征与驱动力。结果表明:1990—2019年澄碧河流域NDVI总体呈波动上升趋势,年平均增速为0.004 6,植被呈显著改善的区域占87.09%; 不同土地利用类型下,NDVI均值排序为常绿灌木地>常绿阔叶林>常绿针叶林>落叶阔叶林>旱地>草地>水田; NDVI随海拔上升呈先增加再缓慢下降再缓慢上升的趋势,随坡度的增加呈先缓慢上升再缓慢下降的趋势; 澄碧河流域88.88%区域NDVI与气温具有正相关关系,其中显著正相关占20.75%,与降水量变化相关性较小,仅有1.14%区域通过p<0.05显著性水平检验。总体而言,澄碧河流域植被得到显著改善,温度变化和人类活动一定程度上促进了流域植被的生长。
- Abstract:
- In order to understand the restoration of vegetation and its driving factors in the southwest karst basin, Chengbihe Basin was taken as an example, based on GEE platform and Landsat remote sensing images from 1990 to 2019, Sen+Mann-Kendall trend and partial correlation method were used to analyze the spatiotemporal evolution characteristics and driving forces of NDVI in the Chengbihe Basin. The results show that the NDVI in the Chengbihe Basin showed a fluctuating upward trend in 1990—2019, with an average growth rate of 0.004 6 per year, and the area with significant improvement in vegetation accounted for 87.09%; under different land use types, the average value of NDVI was ranked as shrubland>evergreen broad-leaved forests>evergreen needle-leaved forest>open deciduous broadleaved forest>rainfed cropland>grasslands>irrigated cropland; NDVI with the rise of altitude showd the trend of increasing at first and then slowly decreasing and then slowly rising, showing a trend of slow rise and then slow decline with the increase of slope; NDVI in 88.88% of the area of Chengbihe Basin had a positive correlation with temperature, of which 20.75% was significantly positive correlation, which was less correlated with precipitation change, and only 1.14% of the region passed the p<0.05 significance level test. On the whole, the vegetation of Chengbihe Basin has been improved significantly, and temperature change and human activities have promoted the growth of vegetation in the basin to some extent.
参考文献/References:
[1] Chen T, Xia J, Zou L, et al. Quantifying the influences of natural factors and human activities on NDVI changes in the Hanjiang river basin, China[J]. Remote Sensing, 2020,12(22).DOI:10.3390/rs12223780.
[2] Adepoju K, Adelabu S, Fashae O. Vegetation response to recent trends in climate and landuse dynamics in a typical humid and dry tropical region under global change[J]. Advances in Meteorology, 2019,2019:1-15.
[3] Shumack S, Hesse P, Turner L. The impact of fire on sand dune stability: Surface coverage and biomass recovery after fires on Western Australian coastal dune systems from 1988 to 2016[J]. Geomorphology, 2017,299:39-53.
[4] 金凯,王飞,韩剑桥,等.1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报,2020,75(5):961-974.
[5] 裴杰,牛铮,王力,等.基于Google Earth Engine云平台的植被覆盖度变化长时间序列遥感监测[J].中国岩溶,2018,37(4):608-616.
[6] 李晶,闫星光,闫萧萧,等.基于GEE云平台的黄河流域植被覆盖度时空变化特征研究[J].煤炭学报,2021,46(5):1439-1450..
[7] Zhou Y, Dong J, Xiao X, et al. Continuous monitoring of lake dynamics on the Mongolian Plateau using all available Landsat imagery and Google Earth Engine[J]. Science of the Total Environment, 2019,689:366-380.
[8] 王渊,赵宇豪,吴健生.基于Google Earth Engine云计算的城市群生态质量长时序动态监测:以粤港澳大湾区为例[J].生态学报,2020,40(23):8461-8473.
[9] Han J C, Huang Y, Zhang H, et al. Characterization of elevation and land cover dependent trends of NDVI variations in the Hexi region, northwest China[J]. Journal of Environmental Management, 2019,232:1037-1048.
[10] 吕妍,张黎,闫慧敏,等.中国西南喀斯特地区植被变化时空特征及其成因[J].生态学报,2018,38(24):8774-8786.
[11] 张凯选,范鹏鹏,王军邦,等.西南喀斯特地区植被变化及其与气候因子关系研究[J].生态环境学报,2019,28(6):1080-1091.
[12] 张志强,刘欢,左其亭,等.2000—2019年黄河流域植被覆盖度时空变化[J].资源科学,2021,43(4):849-858.
[13] 王世杰,李阳兵,李瑞玲.喀斯特石漠化的形成背景、演化与治理[J].第四纪研究,2003,23(6):657-666.
[14] 王家录,李维杰,王勇,等.2005—2014年重庆石漠化地区NDVI的时空变化及其与气候因子相关性分析[J].水土保持研究,2021,28(2):217-223.
[15] 韦小茶,周秋文,张继,等.1982—2016年广西NDVI时空变化及其影响因素[J].山地学报,2020,38(4):520-531.
[16] 蒋忠诚,李先琨,曾馥平,等.岩溶峰丛洼地生态重建[M].北京:地质出版社,2007.
[17] Zhang X, Liu L, Chen X, et al. Fine land-cover mapping in China using Landsat datacube and an operational SPECLib-based approach[J]. Remote Sensing, 2019,11(9).DOI:10.3390/rs11091056.
[18] Jiang W, Yuan L, Wang W, et al. Spatio-temporal analysis of vegetation variation in the Yellow River Basin[J]. Ecological Indicators, 2015,51:117-126.
[19] Toi'/c I. Spatial and temporal variability of winter and summer precipitation over Serbia and Montenegro[J]. Theoretical and Applied Climatology, 2004,77(1):47-56.
[20] 谢慧君,张廷斌,易桂花,等.川西高原植被NDVI动态变化特征及对气候因子的响应[J].水土保持通报,2020,40(4):286-294.
[21] 叶红,张廷斌,易桂花,等.2000—2014年黄河源区ET时空特征及其与气候因子关系[J].地理学报,2018,73(11):2117-2134.
[22] 赵文慧,陈妮,闫瑞,等.近20年来北洛河流域植被覆盖度随地形因子变化特征探究[J].水土保持研究,2016,23(4):10-14.
[23] 程圣东,李占斌,鲁克新,等.文安驿流域植被覆盖度时空分异及其与地貌因子关系研究[J].西安理工大学学报,2011,27(2):145-150.
[24] 叶骏菲,陈燕丽,莫伟华,等.典型喀斯特区植被变化及其与气象因子的关系:以广西百色市为例[J].沙漠与绿洲气象,2019,13(5):106-113.
[25] 廖春贵,胡宝清,熊小菊,等.广西植被时空变化及其对气候响应[J].森林与环境学报,2018,38(2):178-184.
[26] 童晓伟,王克林,岳跃民,等.桂西北喀斯特区域植被变化趋势及其对气候和地形的响应[J].生态学报,2014,34(12):3425-3434.
[27] 韦振锋,任志远,张翀.近12年广西植被覆盖与降水和气温的时空响应特征[J].水土保持研究,2013,20(5):33-38.
[28] 覃金兰,薛联青.西北干旱区玛纳斯河流域植被时空变化特征及其与地形因子的空间关系[J].生态环境学报,2020,29(11):2179-2188.
[29] 刘大元,张雪梅,岳跃民,等.基于Geodetector的广西喀斯特植被覆盖变化及其影响因素分析[J].农业现代化研究,2019,40(6):1038-1047.
相似文献/References:
[1]王兮之,陆龙,梁钊雄.青海湟水流域植被覆盖度时空变化分析[J].水土保持研究,2010,17(06):172.
WANG Xi-zhi,LU Long,LIANG Zhao-xiong.Analysis on Temporal-spatial Change of Vegetation Coverage in Huangshui Watershed[J].Research of Soil and Water Conservation,2010,17(04):172.
[2]贺中华,陈晓翔,梁虹,等.基于NDVI的喀斯特水资源遥感定量监测及分析——以贵州省为例[J].水土保持研究,2012,19(03):161.
HE Zhong-hua,CHEN Xiao-xiang,LIANG Hong,et al.Quantitative Remote Sensing Monitoring and Analysis of Karst Water Resources Based on NDVI-Taking Guizhou Province as a Case[J].Research of Soil and Water Conservation,2012,19(04):161.
[3]李道峰,田英,郝芳华.基于NDVI数据的黄河流域地表植被覆盖综合分类研究[J].水土保持研究,2003,10(04):88.
LI Dao-feng,TIAN Ying,HAO Fang-hua.NDVI Data Based Study on Complex Classification of Vegetation Cover of Yellow River Basin[J].Research of Soil and Water Conservation,2003,10(04):88.
[4]程承旗,吴宁,郭仕德,等.城市热岛强度与植被覆盖关系研究的理论技术路线和北京案例分析[J].水土保持研究,2004,11(03):172.
CHENG Cheng-qi,WU Ning,GUO Shi-de,et al.A Study on the Interaction Between Urban Heat Island and Vegetation Theory, Methodology, and Case Study[J].Research of Soil and Water Conservation,2004,11(04):172.
[5]赵文武,吕一河,郭雯雯,等.陕北黄土丘陵沟壑区NDVI与气象因子的相关性分析[J].水土保持研究,2006,13(02):112.
ZHAO Wen-wu,LV Yi-he,GUO Wen-wen,et al.The Correlations Between Climatic Factors and NDVI in Hilly and Gully Area of Loess Plateau in Northern Shaanxi[J].Research of Soil and Water Conservation,2006,13(04):112.
[6]杨勤科,罗万勤,马宏斌,等.区域水土流失植被因子的遥感提取[J].水土保持研究,2006,13(05):267.
YANG Qing-ke,LUO Wan-qin,MA Hong-bin,et al.NDVI Extraction of Regional Soil Erosion Based on Remate Sensing[J].Research of Soil and Water Conservation,2006,13(04):267.
[7]李春华,沙晋明.基于知识的遥感影像的BAYES分类方法研究——以福州市琅歧岛土地覆盖/土地利用类型为例[J].水土保持研究,2006,13(06):126.
LI Chun-hua,SHA Jin-ming.Knowledge Based Bayes Image Classification Approach——Land Cover/Land Use of Fuzhuo Lanqi Island as a Study Case[J].Research of Soil and Water Conservation,2006,13(04):126.
[8]夏照华,张克斌,李瑞,等.基于NDVI的农牧交错区植被覆盖度变化研究——以宁夏盐池县为例[J].水土保持研究,2006,13(06):178.
XIA Zhao-hua,ZHANG Ke-bin,LI Rui,et al.Study on the Change of Vegetation Fraction in Agro-pastoral Transition Area Based on NDVI——A Case Study in Yanchi County, Ningxia[J].Research of Soil and Water Conservation,2006,13(04):178.
[9]罗江燕,塔西甫拉提&#,特依拜,等.基于表观反射率的渭-库绿洲植被动态变化分析[J].水土保持研究,2008,15(05):65.
LUO Jiang-yan,Tashpolat&#,Tiyip,et al.Analysis on Dynamic Change of Wei-ku Oasis Vegetation Based on Surface Reflectance[J].Research of Soil and Water Conservation,2008,15(04):65.
[10]田雷,沈毅,叶慧海,等.基于遥感技术的植被盖度动态变化在环保验收中的应用研究[J].水土保持研究,2009,16(02):107.
TIAN Lei,REN Yi,YE Hui-hai,et al.Application of Dynamic Change of Vegetation Fraction in Environmental Protection for the Check and Accept Project by Remote Sensing[J].Research of Soil and Water Conservation,2009,16(04):107.
备注/Memo
收稿日期:2021-06-14 修回日期:2021-07-17
资助项目:国家自然科学基金(51969004); 广西自然科学基金(2017GXNSFAA198 361); 广西研究生教育创新计划项目(YCBZ2019022)
第一作者:王国帅(1998—),男,广西百色人,硕士研究生,研究方向为生态水文与环境遥感。E-mail:1010642198@qq.com
通信作者:孙桂凯(1974—),女,广西南宁人,副教授,主要从事水文与水资源研究。E-mail:1315684692@qq.com