WU Yidan,MA Yue,WU Haoran,et al.Characteristics of Temporal and Spatial Evolution and Driving Forces of Vegetation Index in Sichuan Based on MODIS-EVI[J].Research of Soil and Water Conservation,2020,27(05):230-236,243.
基于MODIS-EVI指数的四川省植被指数时空演变特征及驱动力
- Title:
- Characteristics of Temporal and Spatial Evolution and Driving Forces of Vegetation Index in Sichuan Based on MODIS-EVI
- 文章编号:
- 1005-3409(2020)05-0230-07
- 关键词:
- MODIS-EVI指数; 时空演变; 驱动力; 四川省
- Keywords:
- MODIS-EVI; space-time evolution; driving force; Sichuan Province
- 分类号:
- Q948
- 文献标志码:
- A
- 摘要:
- 四川省地形地貌复杂,是长江流域生态屏障的战略要地,探究该区域植被覆盖时空演变规律,以此检验各项水土保持工程的完成度、生态环境建设举措的实施度具有重要意义。研究基于MODIS的增强型植被指数(EVI)数据,运用趋势线分析、莫兰指数分析、热点分析等方法,分析了2001—2018年四川省EVI植被指数的时空变化及其影响因素。结果表明:(1)四川省EVI植被指数空间上明显呈东高西低分布规律,空间异质性显著;(2)2001—2018年EVI指数以0.22%/a的速率波动上升,13.6%研究区域的年际EVI变化率为负值,86.4%为正值。高值集中分布在四川东部广元、达州、宜宾、泸州、乐山、眉山和广安等地市,负值集中分布在甘孜、阿坝州以及成都市; 2001—2018年四川省整体植被改善程度良好,但川西北高原和川西南山地地区的改善度明显低于川东四川盆地;(3)2001—2018年四川省EVI植被指数增长明显,EVI指数变化与气象因子关联度低,与人工生态工程相关性高。生态工程建设是其变化的主要驱动力。
- Abstract:
- Sichuan Province has the complex topography and geomorphology which is a strategic place for ecological barriers in the Yangtze River Basin. It is of great significance to investigate the temporal and spatial evolution of vegetation coverage in this region to test the completion of various soil and water conservation projects and the implementation of ecological and environmental construction measures. Based on the MODIS Enhanced Vegetation Index(EVI)data, the trend-line analysis, Moran index analysis, and hotspot analysis were used to analyze the temporal and spatial changes of the EVI vegetation index and its influencing factors in Sichuan Province from 2001 to 2018. The results showed that:(1)the spatial distribution of the EVI vegetation index in Sichuan Province was obviously high in the east and low in the west, and the spatial heterogeneity was significant;(2)the EVI index fluctuated at a rate of 0.22% per year from 2001 to 2018, the inter-annual EVI change rate was negative in 13.6% of the research region and was positive in 86.4% of the research region; high values concentrated in the cities of Guangyuan, Dazhou, Yibin, Luzhou, Leshan, Meishan, and Guang'an in eastern Sichuan, negative values concentrated in Ganzi, Aba Prefecture, and Chengdu; from 2001 to 2018, the overall vegetation improvement in Sichuan Province was good, but the degree of improvement in the northwestern Sichuan plateau and the mountainous region in southwestern Sichuan was significantly lower than that in the eastern Sichuan Basin;(3)the EVI vegetation index in Sichuan Province had increased significantly from 2001 to 2018, and the change in EVI index had low correlation with meteorological factors and high correlation with artificial ecological engineering, indicating that the ecological engineering construction was the main driving force for its change.
参考文献/References:
[1]Cui L, Shi J. Temporal and spatial response of vegetation NDVI to temperature and precipitation in eastern China[J]. Journal of Geographical Sciences, 2010,20(2):163-176.
[2]朱林富,谢世友,杨华,等.基于MODIS-EVI的重庆植被覆盖时空分异特征研究[J].生态学报,2018,38(19):6992-7002.
[3]高江波,吴绍洪,蔡运龙.区域植被覆盖的多尺度空间变异性:以贵州喀斯特高原为例[J].地理研究,2013,32(12):2179-2188.
[4]杨波,王全九,许晓婷,等.还林还草工程后榆林市NDVI时空变化趋势[J].生态学杂志,2019,38(6):1839-1848.
[5]万红梅,李霞,董道瑞,等.塔里木河下游植被覆盖变化遥感定量分析[J].自然资源学报,2013,28(4):668-677.
[6]韩涛,王大为.2000—2014年石羊河流域植被覆盖变化研究[J].中国农学通报,2017,33(13):66-74.
[7]王正兴,刘闯, Huete Alfredo.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003,23(5):979-987.
[8]马昊翔,陈长成,宋英强,等.青海省近10年草地植被覆盖动态变化及其驱动因素分析[J].水土保持研究,2018,25(6):137-145.
[9]苏俊磊,罗为群,王广哲,等.基于MODIS-EVI的广西西江流域植被时空变化特征及其影响因素[J].水土保持研究,2019,26(3):232-238.
[10]曹艳萍,秦奋,庞营军,等.2002—2016年华北平原植被生长状况及水文要素时空特征分析[J].生态学报,2019,39(5):1560-1571.
[11]彭文甫,张冬梅,罗艳玫,等.自然因子对四川植被NDVI变化的地理探测[J].地理学报,2019,74(9):1758-1776.
[12]四川省统计局.四川统计年鉴[M].北京:中国统计出版社,2016.
[13]肖建勇,周德全,白晓永,等.四川省植被覆盖时空演变及未来变化趋势分析[J].人民长江,2018,49(5):16-21.
[14]张月丛,赵志强,李双成,等.基于SPOTNDVI的华北北部地表植被覆盖变化趋势[J].地理研究,2008,27(4):745-755.
[15]孟丹,李小娟,宫辉力,等.京津冀地区NDVI变化及气候因子驱动分析[J].地球信息科学学报,2015,17(8):1001-1007.
[16]Nosek V, Netrdová P. What values of Moran's I and Theil index decomposition really mean under different conditions: on the issue of interpretation[J]. Letters in Spatial and Resource Sciences, 2017,10(2):149-159.
[17]Moons E, Brijs T, Wets G. Improving moran's index to identify hot spots in traffic safety[J]. Studied in Computational Intelligence, 2009,176:117-132.
[18]邵霜霜,师庆东.基于FVC的新疆植被覆盖度时空变化[J].林业科学,2015,51(10):35-42.
[19]王钊,杨山,王玉娟,等.基于最小阻力模型的城市空间扩展冷热点格局分析:以苏锡常地区为例[J].经济地理,2016,36(3):57-64.
[20]谢永琴,魏晓晨.北京物流企业空间布局演化及影响因素分析[J].陕西师范大学学报:自然科学版,2019,47(2):106-115.
[21]胡峻嶍,黄访,铁烈华,等.四川省森林植被固碳经济价值动态[J].生态学报,2019,39(1):158-163.
[22]夏红霞.山地森林/干旱河谷交错带植被退化特征[D].成都:四川农业大学,2009.
相似文献/References:
[1]龚亚男,韩书成,时晓标,等.广东省“三生空间”用地转型的时空演变及其生态环境效应[J].水土保持研究,2020,27(03):203.
GONG Yanan,HAN Shucheng,SHI Xiaobiao,et al.Temporal and Spatial Evolution and Associated Eco-environment Effects of the Land Use Transformation of Ecological-Production-Living Spaces in Guangdong Province[J].Research of Soil and Water Conservation,2020,27(05):203.
[2]韦宇婵,张丽琴.河南省土地生态安全警情时空演变及障碍因子[J].水土保持研究,2020,27(03):238.
WEI Yuchan,ZHANG Liqin.Spatiotemporal Pattern and Obstacle Factors of Land Eco-Security Early Warning in Henan Province[J].Research of Soil and Water Conservation,2020,27(05):238.
[3]张志高,耿益新,蔡茂堂,等.1978-2017年河南省气候生产潜力时空演变及趋势分析[J].水土保持研究,2020,27(06):247.
ZHANG Zhigao,GENG Yixin,CAI Maotang,et al.Spatial-Temporal Evolution and Trend Analysis of Climatic Potential Productivity in Henan Province During 1978-2017[J].Research of Soil and Water Conservation,2020,27(05):247.
[4]柴素盈,曹 言,窦小东,等.1964-2017年南盘江流域主要极端气候事件时空演变特征[J].水土保持研究,2020,27(01):151.
CHAI Suying,CAO Yan,DOU Xiaodong,et al.Analysis Temporal and Spatial Changes of Extreme Climatic Events in Nanpan River Basin from 1964 to 2017[J].Research of Soil and Water Conservation,2020,27(05):151.
[5]周 渝,邓 伟,刘 婷,等.重庆都市区生态系统服务价值时空演变及其驱动力[J].水土保持研究,2020,27(01):249.
ZHOU Yu,DENG Wei,LIU Ting,et al.Spatio-temporal Evolution and Driving Force of Ecosystem Service Value in Chongqing Metropolitan Area[J].Research of Soil and Water Conservation,2020,27(05):249.
[6]全江涛,杨永芳,周嘉昕.河南省土地资源承载力时空演变分析与预测[J].水土保持研究,2020,27(02):315.
QUAN Jiangtao,YANG Yongfang,ZHOU Jiaxin.Analysis and Prediction of Spatial and Temporal Evolution of Land Resource Carrying Capacity in Henan Province[J].Research of Soil and Water Conservation,2020,27(05):315.
[7]田立鑫,韩 美,王 敏,等.莱州湾南岸海岸带土地利用时空演变及稳定性研究[J].水土保持研究,2021,28(04):259.
TIAN Lixin,HAN Mei,WANG Min,et al.Spatiotemporal Evolution and Stability of Land Use Type in the Coastal Zone of the South Coast in Laizhou Bay[J].Research of Soil and Water Conservation,2021,28(05):259.
[8]韦江伟,赵锐锋,李玲慧,等.干旱区三生用地时空演变特征及空间冲突研究——以黑河中游地区为例[J].水土保持研究,2021,28(04):284.
WEI Jiangwei,ZHAO Ruifeng,LI Linghui,et al.Study on the Spatial and Temporal Evolution Characteristics and Spatial Conflicts of the Land for Production-Living-Ecological in Arid Areas[J].Research of Soil and Water Conservation,2021,28(05):284.
[9]李胜鹏,柳建玲,林 津,等.基于土地利用情景的福建省生态经济系统协调度时空演变模拟[J].水土保持研究,2021,28(01):234.
LI Shengpeng,LIU Jianling,LIN Jin,et al.Spatial and Temporal Evolution Simulation of Eco-economic System Coordination in Fujian Province Under Land Use Scenarios[J].Research of Soil and Water Conservation,2021,28(05):234.
[10]叶 强,潘若莼,赵 垚.土地用途管制下长株潭生态绿心地区乡村聚落时空演变特征[J].水土保持研究,2021,28(02):285.
YE Qiang,PAN Ruochun,ZHAO Yao.Analysis on the Characteristics of Temporal and Spatial Evolution of Rural Settlements in Changzhutan Ecological ‘Green Heart' Under Land-Use Regulation[J].Research of Soil and Water Conservation,2021,28(05):285.
备注/Memo
收稿日期:2019-11-05修回日期:2019-12-05
资助项目:大学生创新训练项目“基于GWRK的GPM降水数据的融合校正研究”(201910626034); 国家自然科学基金“川中丘陵区小流域侵蚀产沙与土壤营养元素流失对退耕还林的响应研究”(41501291)
第一作者:伍宜丹(1999—),女,四川眉山人,本科生,研究方向为3S技术及其应用。E-mail:wuyidan1119@163.com,15528296659
通信作者:李豪(1980—),男,广西梧州人,博士,讲师,主要从事3S技术及其应用的研究。E-mail:lihao@sicau.edu.cn,15388230351