基于地理探测器的甘肃省NDVI驱动因子定量分析
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摘要
【目的】探究甘肃省NDVI的驱动因子,为生态环境管理和可持续发展提供理论依据.【方法】以气温、降水、海拔、植被类型、土壤类型作为自然驱动因子,以土地利用类型、人口密度、GDP作为人文驱动因子,运用地理探测器模型,结合空间叠置和自然断点法对甘肃省2015年度及不同季节归一化植被指数(NDVI)的驱动因子进行探测.【结果】甘肃省2015年度NDVI的主要驱动因子为降水、植被类型、土地利用类型和土壤类型,其解释力度分别为0.73、0.69、0.53、0.48;其中降水与植被类型、土壤类型的交互作用解释力度都达到了0.83,且都表现出双因子增强.春季、夏季和秋季NDVI的驱动因子排序和交互作用与2015年度的基本一致.【结论】自然因子对NDVI的贡献是人文因子的2～3倍;自然因子之间的交互作用比自然因子与人文因子之间的交互作用贡献率更大.
【Objective】 To explore NDVI driving factors and provide a theoretical basis for ecological environment management and sustainable development.【Method】 The temperature,precipitation,altitude,vegetation type and soil type were used as natural driving factors. Land use type,population density and GDP were used as humanistic driving factors. The geodetector model,combined with spatial overlay and natural breaks methods were used to detecte the driving factors of NDVI in Gansu Province in 2015 and different seasons. 【Result】 The result showed that the main driving factors of annual NDVI were precipitation,vegetation type,land use type and soil type,and their explanatory powers were 0.73,0.69,0.53,and 0.48 respectively. The interaction explanatory powers between precipitation and vegetation type,precipitation and soil type were 0.83,and both showed a two-factor enhancement. The driving factor ordering and interaction of NDVI in spring,summer and autumn were basically the same as the year. 【Conclusion】 The contribution of natural factors to NDVI was 2 to 3 times of human factors.The interaction among natural factors was more important than that between natural factors and human factors.
【Objective】 To explore NDVI driving factors and provide a theoretical basis for ecological environment management and sustainable development.【Method】 The temperature,precipitation,altitude,vegetation type and soil type were used as natural driving factors. Land use type,population density and GDP were used as humanistic driving factors. The geodetector model,combined with spatial overlay and natural breaks methods were used to detecte the driving factors of NDVI in Gansu Province in 2015 and different seasons. 【Result】 The result showed that the main driving factors of annual NDVI were precipitation,vegetation type,land use type and soil type,and their explanatory powers were 0.73,0.69,0.53,and 0.48 respectively. The interaction explanatory powers between precipitation and vegetation type,precipitation and soil type were 0.83,and both showed a two-factor enhancement. The driving factor ordering and interaction of NDVI in spring,summer and autumn were basically the same as the year. 【Conclusion】 The contribution of natural factors to NDVI was 2 to 3 times of human factors.The interaction among natural factors was more important than that between natural factors and human factors.
引文
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[31] 李小燕,任志远,张翀,等.中国植被覆盖气候限制性分区及时空变化[J].陕西师范大学学报(自然科学版),2013,41(3):76-81.
[32] 庞静.基于地理探测器模型的自然和人为因素对植被变化的影响[D].太原:山西大学,2016.
[33] 王静,王克林,张明阳,等.南方丘陵山地带NDVI时空变化及其驱动因子分析[J].资源科学,2014,36(8):1712-1723.
[34] 刘冠成,黄雅曦,王庆贵,等.环境因子对植物物种多样性的影响研究进展[J].中国农学通报,2018(13).
[2] 王丽春,焦黎,来风兵.基于NDVI的新疆玛纳斯湖湿地植被覆盖度变化研究[J].冰川冻土,2018,40(1):176-185.
[3] 成方妍,刘世梁,尹艺洁,等.基于MODIS NDVI的广西沿海植被动态及其主要驱动因素[J].生态学报,2017,37(3):788-797.
[4] 王巧玲,花立民,杨思维.1982～2006年祁连山北麓草原植被指数与气候及载畜量的关系[J].甘肃农业大学学报,2014,49(4):127-135.
[5] 王娜云,蒋建军,陈孟奇,等.甘肃省NDVI时空演变特征及其与区域气候的响应[J].林业资源管理,2018(1).
[6] Yang X M,Liu S Z,Yang T B,et al.Spatial-temporal dynamics of desert vegetation and its responses to climatic variations over the last three decades:a case study of Hexi region in Northwest China[J].Journal of Arid Land,2016,8(4):556-568.
[7] 曹博,张勃,马彬,王国强,等.2000-2014年甘肃省NDVI时空变化特征[J].中国沙漠,2018,38(2):418-427.
[8] Qiu B W,Zhong M,Zeng C Y,et al.Effect of topography an2d accessibility on vegetation dynamic pattern in mountain-hill region[J].Journal of Mountain Science,2012,9(6):879-890.
[9] 宋春桥,游松财,刘高焕,等.那曲地区草地植被时空格局与变化及其人文因素影响研究[J].草业学报,2012,21(3):1-10.
[10] 王林林,刘普幸,王允.近14年来柴达木盆地NDVI时空变化及其影响因素[J].生态学杂志,2015,34(6):1713-1722.
[11] 宋乃平,杜灵通,王磊.盐池县2000-2012年植被变化及其驱动力[J].生态学报,2015,35(22):7377-7386.
[12] 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.
[13] 戴声佩,张勃,王海军.中国西北地区植被NDVI的时空变化及其影响因子分析[J].地球信息科学学报,2010,12(3):315-321.
[14] 魏小琴.阿勒泰地区NDVI变化及其主要驱动因子分析[D].乌鲁木齐:新疆农业大学,2015.
[15] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(01):116-134.
[16] Wang J F,Xu C D,Hu M G,et al.Global land surface air temperature dynamics since 1880[J].International Journal of Climatology,2017(11).
[17] Wang J X,Hu M G,Zhang F S,et al.Influential factors detection for surface water quality with geographical detectors in China[J].Stochastic Environmental Research & Risk Assessment,2018(4):1-13.
[18] Xu X,Zhao Y,Zhang X L,et al.Identifying the impacts of social,economic,and environmental factors on population aging in the Yangtze River delta using the geographical detector technique[J].Sustainability,2018,10(5):15-28.
[19] 王录仓,武荣伟,李巍.中国城市群人口老龄化时空格局[J].地理学报,2017,72(6):1001-1016.
[20] Shi T Z,Hu Z W,Shi Z,et al.Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data[J].Science of the Total Environment,2018,643:451-459.
[21] Liu Y S,Li J T.Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China[J].Acta Geographica Sinica,2017,72(1):161-173.
[22] Wang J F,Li X H,Christakos G,et al.Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region,China.[J].International Journal of Geographical Information Science,2010,24(1):107-127.
[23] Wang J F,Zhang T L,Fu B J.A measure of spatial stratified heterogeneity[J].Ecological Indicators,2016,67:250-256.
[24] 胡春艳,卫伟,王晓峰,等.甘肃省植被覆盖变化及其对退耕还林工程的响应[J].生态与农村环境学报,2016,32(4):588-594.
[25] 陈云浩,李晓兵,史培军.1983～1992年中国陆地NDVI变化的气候因子驱动分析[J].植物生态学报,2001,25(6):716-720.
[26] 马有绚.西北干旱半干旱地区植被指数对气温和水分因子的响应[C]//中国气象学会.第34届中国气象学会年会 S4 重大气象干旱成因、物理机制、监测预测与影响论文集.中国气象学会:中国气象学会,2017:15.
[27] 马士彬,安裕伦,杨广斌,等.喀斯特地区不同植被类型NDVI变化及驱动因素分析--以贵州为例[J].生态环境学报,2016,25(7):1106-1114.
[28] 郭铌,朱燕君,王介民,等.近22年来西北不同类型植被NDVI变化与气候因子的关系[J].植物生态学报,2008(2):319-327.
[29] 刘丙霞.黄土区典型灌草植被土壤水分时空分布及其植被承载力研究[D].西安:中国科学院研究生院(教育部水土保持与生态环境研究中心),2015.
[30] 马宗文,许学工,卢亚灵.环渤海地区NDVI拟合方法比较及其影响因素[J].生态学杂志,2011,30(7):1558-1564.
[31] 李小燕,任志远,张翀,等.中国植被覆盖气候限制性分区及时空变化[J].陕西师范大学学报(自然科学版),2013,41(3):76-81.
[32] 庞静.基于地理探测器模型的自然和人为因素对植被变化的影响[D].太原:山西大学,2016.
[33] 王静,王克林,张明阳,等.南方丘陵山地带NDVI时空变化及其驱动因子分析[J].资源科学,2014,36(8):1712-1723.
[34] 刘冠成,黄雅曦,王庆贵,等.环境因子对植物物种多样性的影响研究进展[J].中国农学通报,2018(13).
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