JIANG Ping,HU Liequn,XIAO Jing,et al.Spatiotemporal Dynamics of NDVI in Xinjiang and Quantitative Attribution Based on Geodetector[J].Research of Soil and Water Conservation,2022,29(02):212-220+242.
新疆植被NDVI时空变化及定量归因
- Title:
- Spatiotemporal Dynamics of NDVI in Xinjiang and Quantitative Attribution Based on Geodetector
- 文章编号:
- 1005-3409(2022)02-0212-09
- Keywords:
- NDVI; spatiotemporal variation; driving forces; Geodetector; Xinjiang Uygur Autonomous Region
- 分类号:
- Q948.15
- 文献标志码:
- A
- 摘要:
- 为揭示自然与非自然因素以及因素之间的交互作用对新疆植被覆盖变化的影响,以归一化植被指数(Normalized Difference Vegetation Index,NDVI)为植被覆盖状况表征指标,结合气候、地形、水文、土壤以及人为干扰等15种因子,采用线性趋势分析、随机森林和地理探测器模型,分析了2000—2018年新疆地区植被NDVI的时空演变特征,并对其空间分异的驱动力进行了定量探测。结果表明:新疆NDVI分布呈现北高南低、西高东低、山区高平原低的特点; 研究期间植被覆盖状况有明显改善,60.91%的植被区域NDVI呈增加趋势。土壤湿度的解释力最高(0.394),与耕地面积和潜在蒸散发共同主导植被NDVI的时空格局; 双因子的交互作用能以非线性方式增强对NDVI空间分布的解释力,其中,尤以土壤湿度和潜在蒸散发的交互作用影响力最强; 各因子存在促进植被生长的最适宜范围或特征,其中,NDVI空间变化基本与水分因素呈正相关,与辐射量、海拔呈负相关。总体上,土壤水分条件对新疆植被变化的影响更为直接,此外,适度的人类活动对植被恢复已有明显的促进作用。
- Abstract:
- The spatial and temporal changes of vegetation in Xinjiang were firstly identified based on the Normalized Difference Vegetation Index(NDVI)data from 2000 to 2018 by using linear trend analysis. In combination with 15 other factors including climate, topography, hydrology, soil, and human disturbance etc., the spatial stratification of the impacts of natural and non-natural factors on vegetation changes was then explored by applying the geographical detector model with the Random Forest. The results showed that: the vegetation coverage of the whole region was characterized by high in the north and west, low in the south and east, while the vegetation coverage of the mountains were higher than that of the plains; during 2000—2018, the vegetation had improved significantly, with 60.91% of the vegetated areas showing an increasing trend in NDVI; root-zone soil moisture had the highest explanatory power(0.394), and dominated the spatio-temporal patterns of NDVI together with arable area and potential evapotranspiration; the interaction of each two factors could enhance the explanatory power on the spatial distribution of NDVI in a non-linear manner, among which the interaction of root-zone soil moisture and potential evapotranspiration had the strongest influence in particular; there existed optimum ranges or characteristics for each factor to promote vegetation growth, among which, NDVI spatial variation was basically positively correlated with moisture factors and negatively correlated with radiation and elevation. In conclusion, vegetation change in Xinjiang is more directly influenced by soil moisture conditions, and in addition, moderate human activities have had a significant contribution to vegetation recovery.
参考文献/References:
[1] 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.
[2] 刘洋,李诚志,刘志辉,等.1982—2013年基于GIMMS-NDVI的新疆植被覆盖时空变化[J].生态学报,2016,36(19):6199-6208.
[3] Huang X L, Zhang T B, Yi G H, et al. Dynamic changes of NDVI in the growing season of the Tibetan Plateau during the past 17 years and its response to climate change[J]. International Journal of Environmental Research and Public Health, 2019,16(18):3452-3472.
[4] Maurer G E, Hallmark A J, Brown R F, et al. Sensitivity of primary production to precipitation across the United States[J]. Ecology Letters, 2020,23(3):527-536.
[5] 熊巧利,何云玲,李同艳,等.西南地区生长季植被覆盖时空变化特征及其对气候与地形因子的响应[J].水土保持研究,2019,26(6):259-266.
[6] Gang S, Sun J, Han J, et al. Impacts of Chinese Grain for Green program and climate change on vegetation in the Loess Plateau during 1982—2015[J]. the Science of the Total Environment, 2019,660(10):177-187.
[7] Wang H, Chen Y, Xun S, et al. Changes in daily climate extremes in the arid area of northwestern China[J]. Theoretical and Applied Climatology, 2013,112(1/2):15-28.
[8] 戴声佩,张勃,王海军,等.中国西北地区植被覆盖变化驱动因子分析[J].干旱区地理,2010,33(4):636-643.
[9] 王娜,牛婷,文方,等.新疆1982—2015年植被变化及气候影响因素分析[J].新疆环境保护,2020,42(3):32-38.
[10] 赵鹏,陈桃,王茜,等.气候变化和人类活动对新疆草地生态系统NPP影响的定量分析[J].中国科学院大学学报,2020,37(1):51-62.
[11] Wessels K J, Prince S D, Reshef I. Mapping land degradation by comparison of vegetation production to spatially derived estimates of potential production[J]. Journal of Arid Environments, 2008,72(10):1940-1949.
[12] Liu Y, Li Y, Li S, et al. Spatial and temporal patterns of global NDVI trends:correlations with climate and human factors[J]. Remote Sensing, 2015,7(10):13233-13250.
[13] Chen T, Bao A, Jiapaer G, et al. Disentangling the relative impacts of climate change and human activities on arid and semiarid grasslands in Central Asia during 1982—2015[J]. Science of the Total Environment, 2019,653(25):1311-1325.
[14] Xu H, Wang X, Zhang X. Alpine grasslands response to climatic factors and anthropogenic activities on the Tibetan Plateau from 2000 to 2012[J]. Ecological Engineering, 2016,92:251-259.
[15] Luo Z, Wu W, Yu X, et al. Variation of net primary production and its correlation with climate change and anthropogenic activities over the Tibetan Plateau[J]. Remote Sensing,2018,10(9).DOI:10.3390/rs10091352.
[16] Li Q, Zhang C, Shen Y, et al. Quantitative assessment of the relative roles of climate change and human activities in desertification processes on the Qinghai-Tibet Plateau based on net primary productivity[J]. Catena,2016,147:789-796.
[17] Zhou W, Gang C, Zhou F, et al. Quantitative assessment of the individual contribution of climate and human factors to desertification in northwest China using net primary productivity as an indicator[J]. Ecological Indicators, 2015,48:560-569.
[18] 王伟,阿里木·赛买提,吉力力·阿不都外力.基于地理探测器模型的中亚NDVI时空变化特征及其驱动因子分析[J].国土资源遥感,2019,31(4):32-40.
[19] 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.
[20] 张思源,聂莹,张海燕,等.基于地理探测器的内蒙古植被NDVI时空变化与驱动力分析[J].草地学报,2020,28(5):292-304.
[21] 宋佳,徐长春,杨媛媛,等.基于MODIS16的新疆干湿气候时空变化及影响因素[J].水土保持研究,2019,26(5):210-221.
[22] 徐新良.中国月度植被指数(NDVI)空间分布数据集[DB/OL].(2018-06-06)[2018-08-08].http://www.resdc.cn/DOI.DOI:10.12078/2018060602.
[23] Martens B, Miralles D G, Lievens H, et al. GLEAM v3: Satellite-based land evaporation and root-zone soil moisture[J]. Geoscientific Model Development,2017,10(5):1903-1925.
[24] Rodríguez-Rodríguez D, Bomhard B. Mapping direct human influence on the world's mountain areas[J]. Mountain Research & Development,2012,32(2):197-202.
[25] Yan J, Jia S, Lv A, et al. Water resources assessment of China's transboundary river basins using a machine learning approach[J]. Water Resources Research,2019,55(1):632-655.
[26] Breiman L. Random forests[J]. Machine Learning,2001,45(1):5-32.
[27] 周梦甜,李军,朱康文,等.近15 a新疆不同类型植被NDVI时空动态变化及对气候变化的响应[J].干旱区地理,2015,38(4):779-787.
[28] 施雅风,沈永平,李栋梁,等.中国西北气候由暖干向暖湿转型的特征和趋势探讨[J].第四纪研究,2003,23(2):152-164.
[29] 赵鹏,陈桃,王茜,等.气候变化和人类活动对新疆草地生态系统NPP影响的定量分析[J].中国科学院大学学报,2020,37(1):51-62.
[30] 张强,肖风劲,牛海山,等.我国北方植被指数对土壤湿度的敏感性分析[J].生态学杂志,2005,24(7):715-718.
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备注/Memo
收稿日期:2021-04-02 修回日期:2021-04-20
资助项目:中国沙漠气象科学研究资助项目“新疆植被动态变化遥感监测及其驱动因子量化评估”(Sqj2020008)
第一作者:姜萍(1989—),女,湖北枣阳人,硕士,工程师,主要从事气候环境变化与公众气象服务研究。E-mail:jp544867803@126.com
通信作者:胡列群(1965—),男,江苏南通人,正研级高工,主要从事气候与遥感技术应用研究。E-mail:hlq1965@163.com