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[1]GAO Siqi,DONG Guotao,JIANG Xiaohui,et al.Analysis of Vegetation Coverage Changes and Natural Driving Factors in the Three-River Headwaters Region Based on Geographical Detector[J].Research of Soil and Water Conservation,2022,29(04):336-343.

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Analysis of Vegetation Coverage Changes and Natural Driving Factors in the Three-River Headwaters Region Based on Geographical Detector

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 04 Page number: 336-343 Column: Public date: 2022-06-20

Title:: Analysis of Vegetation Coverage Changes and Natural Driving Factors in the Three-River Headwaters Region Based on Geographical Detector

Author(s):: GAO Siqi^1,2, DONG Guotao^2,3, JIANG Xiaohui¹, NIE Tong^1,2, GUO Xinwei², DANG Suzhen²; (1.College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; 2.Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China; 3.Heihe Water Resources and Ecological Protection Research Center, Lanzhou 730030, China)

Keywords:: NDVI; spatiotemporal changes; natural driving forces; geographical detector; Three-River Headwaters region

CLC:: Q948.1

DOI:: -

Abstract:: To reveal the influence of natural factors on the vegetation coverage of the Three-River Headwaters region, based on the GIMMS NDVI data and 8 natural factors of the Three-River Headwaters region from 1982 to 2015, the temporal and spatial variation characteristics of the NDVI in the Three-River Headwaters region were analyzed by linear regression analysis, and the spatial heterogeneity and natural driving factors were analyzed by geographical detector. The results showed that: the distribution of the NDVI was high in the southeast and low in the northwest, the change pattern increased in the west and north, decreased in the middle and south, and the mean value of the NDVI from 1982 to 2015 increased; the annual precipitation had the greatest influence on the spatial distribution of the NDVI in the Three-River Headwaters region(0.551); the average annual temperature, vegetation type and elevation also explained the vegetation coverage in the Three-River Headwaters region well; the influence of natural factors on the NDVI was interactive, showing mutual enhancement and nonlinear enhancement. It was obvious that the annual precipitation was the most important factor affecting the spatial distribution of the NDVI in the Three-River Headwaters region, and the interaction with other factors can increase the influence on the NDVI.

References:: [1] 韦振锋,王德光,张翀,等.1999—2010年中国西北地区植被覆盖对气候变化和人类活动的响应[J].中国沙漠,2014,34(6):1665-1670.
[2] 刘斌,孙艳玲,王中良,等.华北地区植被覆盖变化及其影响因子的相对作用分析[J].自然资源学报,2015,30(1):12-23.
[3] 李辉霞,刘国华,傅伯杰.基于NDVI的三江源地区植被生长对气候变化和人类活动的响应研究[J].生态学报,2011,31(19):5495-5504.
[4] 孙庆龄,李宝林,许丽丽,等.2000—2013年三江源植被NDVI变化趋势及影响因素分析[J].地球信息科学学报,2016,18(12):1707-1716.
[5] 饶品增,王义成,王芳.三江源植被覆盖区NDVI变化及影响因素分析[J].草地学报,2021,29(3):572-582.
[6] 刘宪锋,任志远,林志慧,等.2000—2011年三江源区植被覆盖时空变化特征[J].地理学报,2013,68(7):897-908.
[7] 孙红雨,王长耀,牛铮,等.中国地表植被覆盖变化及其与气候因子关系:基于NOAA时间序列数据分析[J].遥感学报,1998,2(3):204-210.
[8] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[9] 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.
[10] 裴志林,杨勤科,王春梅,等.黄河上游植被覆盖度空间分布特征及其影响因素[J].干旱区研究,2019,36(3):546-555.
[11] Nie T, Dong G T, Jiang X H, et al. Spatio-temporal changes and driving forces of vegetation coverage on the Loess Plateau of Northern Shaanxi[J]. Remote Sensing, 2021,13(4).DOI:10.3390/rs13040613.
[12] 任立清,董国涛,谷佳贺,等.黑河上游植被时空分布及驱动力分析[J].水土保持研究,2021,28(4):244-250.
[13] 肖建勇,王世杰,白晓永,等.喀斯特关键带植被时空变化及其驱动因素[J].生态学报,2018,38(24):8799-8812.
[14] 张镱锂,丁明军,张玮,等.三江源地区植被指数下降趋势的空间特征及其地理背景[J].地理研究,2007,26(3):500-507.
[15] 于秀娟,燕琴,刘正军,等.三江源区植被覆盖度的定量估算与动态变化研究[J].长江流域资源与环境,2013,22(1):66-74.
[16] 张翀,李强,李忠峰.三江源地区人类活动对植被覆盖的影响[J].中国人口·资源与环境,2014,24(5):139-144.
[17] 韦晶,郭亚敏,孙林,等.三江源地区生态环境脆弱性评价[J].生态学杂志,2015,34(7):1968-1975.
[18] Pinzon J E, Tucker C J. A non-stationary 1981—2012 AVHRR NDVI3g time series[J]. Remote Sensing, 2014,6(8):6929-6960.
[19] 彭文甫,王广杰,周介铭,等.基于多时相Landsat5/8影像的岷江汶川—都江堰段植被覆盖动态监测[J].生态学报,2016,36(7):1975-1988.
[20] 宋怡,马明国.基于GIMMS AVHRR NDVI数据的中国寒旱区植被动态及其与气候因子的关系[J].遥感学报,2008,12(3):499-505.
[21] 刘宪锋,朱秀芳,潘耀忠,等.1982—2012年中国植被覆盖时空变化特征[J].生态学报,2015,35(16):5331-5342.
[22] 刘彦随,李进涛.中国县域农村贫困化分异机制的地理探测与优化决策[J].地理学报,2017,72(1):161-173.
[23] 钱拴,伏洋, PAN F F.三江源地区生长季气候变化趋势及草地植被响应[J].中国科学:地球科学,2010,40(10):1439-1445.
[24] 刘璐璐,曹巍,邵全琴.近30年来长江源区与黄河源区土地覆被及其变化对比分析[J].地理科学,2017,37(2):311-320.
[25] 赵芳,林恭华,赵之重.三江源区植被指数时空变化对水热条件的响应[J].草业科学,2011,28(6):1095-1100.
[26] 朱文会,毛飞,徐影,等.三江源区植被指数对气候变化的响应及预测分析[J].高原气象,2019,38(4):693-704.
[27] 唐红玉,肖风劲,张强,等.三江源区植被变化及其对气候变化的响应[J].气候变化研究进展,2006,2(4):177-180.
[28] 肖桐,王昌佐,冯敏,等.2000—2011年青海三江源地区草地覆盖度的动态变化特征[J].草地学报,2014,22(1):39-45.
[29] 孟宪红,陈昊,李照国,等.三江源区气候变化及其环境影响研究综述[J].高原气象,2020,39(6):1133-1143.
[30] 邵全琴,樊江文,刘纪远,等.基于目标的三江源生态保护和建设一期工程生态成效评估及政策建议[J].中国科学院院刊,2017,32(1):35-44.
[31] 宋冬梅,张茜,杨秀春,等.三江源区MODIS植被指数时空分布特征[J].地理研究,2011,30(11):2067-2075.
[32] 井梅秀,蔡福,王学江,等.三江源区植被覆盖度空间特征[J].干旱区资源与环境,2020,34(2):141-147.
[33] 陈琼,周强,张海峰,等.三江源地区基于植被生长季的NDVI对气候因子响应的差异性研究[J].生态环境学报,2010,19(6):1284-1289.
[34] 刘正佳,邵全琴.三江源地区植被覆盖度变化及其与气候因子的关系[J].水土保持研究,2014,21(6):334-339.

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Last Update: 2022-06-20