[1]ZHONG Dingjie,YANG Cunjian.Spatiotemporal Variation Characteristics of Vegetation EVI and Driving Forces of Climate Factors in Western Sichuan Plateau from 2001 to 2020[J].Research of Soil and Water Conservation,2022,29(04):223-230.
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Spatiotemporal Variation Characteristics of Vegetation EVI and Driving Forces of Climate Factors in Western Sichuan Plateau from 2001 to 2020
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 04
Page number:
223-230
Column:
Public date:
2022-06-20
- Title:
- Spatiotemporal Variation Characteristics of Vegetation EVI and Driving Forces of Climate Factors in Western Sichuan Plateau from 2001 to 2020
- CLC:
- Q948; TP79
- DOI:
- -
- Abstract:
- In order to understand the temporal and spatial variation characteristics of vegetation EVI in western Sichuan Plateau, based on MODIS-EVI, DEM and meteorological grid data, the temporal and spatial variation characteristics of vegetation EVI and the distribution and variation processes of vegetation EVI at different altitudes in western Sichuan Plateau from 2001 to 2020 were discussed by using the methods of maximum synthesis, trend analysis and correlation analysis. On this basis, the response of vegetation EVI change to climate change in western Sichuan Plateau was studied. The results showed that:(1)the average EVI of vegetation in the western Sichuan Plateau ranged from 0 to 0.88 in 20 years, and the spatial distribution showed obvious regional differentiation;(2)in the past 20 years, vegetation EVI increased at a rate of 1.0%/decade, and the relative interannual variation rate of vegetation EVI ranged from -4.26 to 13.58; in 13.09% of the areas, vegetation EVI changed through significant test, and about 10.18% of the regional vegetation EVI showed an increasing trend;(3)in the past 20 years, vegetation EVI at different altitudes in western Sichuan Plateau showed a fluctuating increasing trend, and the change rate and the significance of the increasing trend were significantly different; in the three altitudes of <2 500 m, 2 500～3 000 m and 4 500～5 000 m, the vegetation EVI increased significantly;(4)the proportions of EVI positively correlated with temperature and precipitation were 56.4% and 64.1%, respectively; at 0.05 significance level, about 21.87% of vegetation EVI changes in western Sichuan Plateau were driven by climate factors. Overall, the vegetation EVI in western Sichuan Plateau had been increasing in the past 20 years, and there was obvious spatial difference. EVI was positively correlated with temperature and precipitation. The variation of vegetation EVI in western Sichuan Plateau was driven by non-climatic factors.
- References:
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[1] 杨存建,周其林,任小兰,等.基于多时相MODIS数据的四川省森林植被类型信息提取[J].自然资源学报,2014,29(3):507-515.
[2] 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.
[3] 伍良旭,王晗,邵怀勇,等.川西高原植被时空格局及其对气候变化的响应[J].水土保持研究,2021,28(1):171-178.
[4] 陈燕丽,罗永明,莫伟华,等. MODIS NDVI与MODIS EVI对气候因子响应差异[J].自然资源学报,2014,29(10):1802-1812.
[5] 王正兴,刘闯, HUETE A.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003,23(5):979-987.
[6] Matsushita B, Yang W, Chen J, et al. Sensitivity of the enhanced vegetation index(EVI)and normalized difference vegetation index(NDVI)to topographic effects: A case study in high-density cypress forest[J]. Sensors, 2007,7(11):2636-2651.
[7] Sakamoto T, Yokozawa M, Toritani H, et al. A crop phenology detection method using time-series MODIS data[J]. Remote Sensing of Environment, 2005,96(3/4):366-374.
[8] Brando P M, Goetz S J, Baccini A, et al. Seasonal and interannual variability of climate and vegetation indices across the Amazon[J]. Proceedings of the National Academy of Sciences, 2010,107(33):14685-14690.
[9] Setiawan Y, Yoshino K, Prasetyo L B. Characterizing the dynamics change of vegetation cover on tropical forestlands using 250 m multi-temporal MODIS EVI[J]. International Journal of Applied Earth Observation and Geoinformation, 2014,26(1):132-144.
[10] 朱林富,谢世友,杨华,等.基于MODIS-EVI的2000—2015年重庆植被覆盖季节变化[J].长江流域资源与环境,2017,26(12):2146-2155.
[11] 李美丽,尹礼昌,张园,等.基于MODIS-EVI的西南地区植被覆盖时空变化及驱动因素研究[J].生态学报,2021,41(3):1138-1147.
[12] 荣欣,易桂花,张廷斌,等. 2000—2015年川西高原植被EVI海拔梯度变化及其对气候变化的响应[J].长江流域资源与环境,2019,28(12):3014-3028.
[13] 伍良旭,王晗,邵怀勇,等.川西高原植被时空格局及其对气候变化的响应[J].水土保持研究,2021,28(1):171-178.
[14] 李元春,侯蒙京,葛静,等.甘南和川西北地区草地植被NDVI变化及其驱动因素研究[J].草地学报,2020,28(6):1690-1701.
[15] 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.
[16] 郑勇,杨武年,刘冲,等.川西高原近20 a植被覆盖变化遥感动态监测及驱动力分析[J].遥感技术与应用,2020,35(6):1447-1456.
[17] 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.
[18] Liu L, Gu H, Xie J, et al. How well do the ERA-Interim, ERA-5, GLDAS-2.1 and NCEP-R2 reanalysis datasets represent daily air temperature over the Tibetan Plateau[J]. International Journal of Climatology, 2021,41(2):1484-1505.
[19] 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.
[20] 张江,袁旻舒,张婧,等.近30年来青藏高原高寒草地NDVI动态变化对自然及人为因子的响应[J].生态学报,2020,40(18):6269-6281.
[21] 丁佳,刘星雨,郭玉超,等.1980—2015年青藏高原植被变化研究[J].生态环境学报,2021,30(2):288-296.
[22] 祝聪,彭文甫,张丽芳,等.2006—2016年岷江上游植被覆盖度时空变化及驱动力[J].生态学报,2019,39(5):1583-1594.
[23] 张婷,薛东剑,段金亮,等.2000—2019嘉陵江流域植被覆盖时空变化特征及气候响应分析[J].长江流域资源与环境,2021,30(5):1110-1120.
[24] 李波,邵怀勇.气候变化与人类活动对川西高原草地变化相对作用的定量评估[J].草学,2017,38(3):16-21.
[25] 仙巍,向芷莹,陶诗祺,等.川西北江河源区草地退化遥感监测研究[J].测绘科学,2015,40(7):49-53.
[26] 陈安,李景吉,黎文婷,等.2001—2018年雅砻江流域植被NDVI时空动态及其对气候变化的响应[J].水土保持研究,2022,29(1):169-175,183.
[27] 杨桂山,徐昔保,李平星.长江经济带绿色生态廊道建设研究[J].地理科学进展,2015,34(11):1356-1367.
[28] 杨达,易桂花,张廷斌,等.青藏高原植被生长季NDVI时空变化与影响因素[J].应用生态学报,2021,32(4):1361-1372.
[29] 张虹娇.川西北高原气候变化特征研究[J].西南大学学报:自然科学版,2014,36(12):148-156.
[30] 刘凯,曹昌楷,王守强,等.四川省干旱半干旱地区造林类型区划及植被恢复技术[J].四川林业科技,2015,36(4):59-64.
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Last Update:
2022-06-20