Analysis of spatiotemporal variation of sparse vegetation net primary productivity and meteorological factors

doi:10.13474/j.cnki.11-2246.2022.0067

Abstract

Abstract: Based on the improved CASA model,this paper uses methods containing spatial analysis,correlation analysis,and geographical detector model to explore the spatiotemporal pattern of the vegetation net primary production (NPP) in the Gurbantunggut desert from 2001 to 2018,and reveals the climate forcing factors of NPP and their impacts in the study area.The results of this paper show that:①In the past 18 years,the change of vegetation NPP in the Gurbantunggut desert showes a fluctuating increasing trend,with the growth rate of 0.56 gC· a^-1,and the average NPP is 46.90 gC· m^-2· a^-1.②From 2001 to 2018,the average annual NPP showes a spatial distribution pattern of increasing from northwest to southeast,and it is stable in the hinterland of the desert and more active around.③NPP in the Gurbantunggut desert is mainly affected by precipitation and is positively correlated with precipitation and temperature.In terms of the forcing analysis of each factor,precipitation (0.614 4) is the dominant factor restricting the growth of desert vegetation.

Key words: net primary productivity;remote sensing;CASA model;precipitation;temperature

CLC Number:

P237

YAN Linan, WANG Xinjun, CHEN Bei, CHANG Mengdi, LI Na. Analysis of spatiotemporal variation of sparse vegetation net primary productivity and meteorological factors[J]. Bulletin of Surveying and Mapping, 2022, 0(3): 1-6.

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References

[1] 谷晓平,黄玫,季劲钧,等.近20年气候变化对西南地区植被净初级生产力的影响[J].自然资源学报, 2007,22(2):251-259.
[2] 同琳静,刘洋洋,王倩,等.西北植被净初级生产力时空变化及其驱动因素[J].水土保持研究,2019,26(4):367-374.
[3] SHANG Erping, XU Erqi, ZHANG Hongqi, et al. Analysis of spatiotemporal dynamics of the Chinese vegetation net primary productivity from the 1960s to the 2000s[J]. Remote Sensing, 2018, 10(6):860.
[4] 李登科,王钊.基于MOD17A3的中国陆地植被NPP变化特征分析[J].生态环境学报, 2018, 27(3):397-405.
[5] 朱莹莹,韩磊,赵永华,等.中国西北地区NPP模拟及其时空格局[J].生态学杂志, 2019, 38(6):1861-1871.
[6] 焦伟,陈亚宁,李稚.西北干旱区植被净初级生产力的遥感估算及时空差异原因[J].生态学杂志, 2017, 36(1):181-189.
[7] 李金珂,杨玉婷,张会茹,等.秦巴山区近15年植被NPP时空演变特征及自然与人为因子解析[J].生态学报,2019,39(22):8504-8515.
[8] 吕佳佳,吴建国.气候变化对植物及植被分布的影响研究进展[J].环境科学与技术, 2009, 32(6):85-95.
[9] 任晓旭.荒漠生态系统服务功能监测与评估方法学研究[D].北京:中国林业科学研究院,2012.
[10] 张荣,刘彤.古尔班通古特沙漠南部植物多样性及群落分类[J].生态学报, 2012, 32(19):6056-6066.
[11] 项阳,李君轶,陈宏飞.基于CASA模型的神东矿区植被NPP变化研究[J].湖北农业科学,2017,56(10):1843-1846.
[12] CHEN J M, LEBLANC S G. A four-scale bidirectional reflectance model based on canopy architecture[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(5):1316-1337.
[13] 陈瀚阅,黄文江,牛铮,等.基于几何光学模型的人工林叶面积指数遥感反演[J].地球信息科学学报, 2012, 14(3):358-365.
[14] CASANOVA D, EPEMA G F, GOUDRIAAN J. Monitoring rice reflectance at field level for estimating biomass and LAI[J]. Field Crops Research, 1998, 55(1/2):83-92.
[15] 任璇.基于改进CASA模型的新疆草地净初级生产力及与气象因子的相关性研究[D].乌鲁木齐:新疆大学, 2017.
[16] SEN P K. Estimates of the regression coefficient based on Kendall's tau[J]. Journal of the American Statistical Association, 1968, 63(324):1379-1389.
[17] HIPEL K W, MCLEOD A I. Acknowledgements[M]//Time Series Modelling of Water Resources and Environmental Systems. Amsterdam:Elsevier, 1994.
[18] 拉巴,扎西欧珠,白玛央宗,等.基于MODIS数据的西藏荒漠化遥感监测研究[J].气象与环境科学, 2019, 42(4):39-46.
[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] 朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报, 2007, 31(3):413-424.
[21] 王旭阳,张显峰,赵杰鹏,等.基于MODIS和TRMM数据的准格尔南缘植被净初级生产力估算与分析[J].地理与地理信息科学, 2011, 27(2):21-25.
[22] 王亚林,龚容,吴凤敏,等. 2001-2013年中国灌木生态系统净初级生产力的时空变化特征及其对气候变化的响应[J].植物生态学报, 2017, 41(9):925-937.
[23] 杨怡,吴世新,庄庆威,等. 2000-2018年古尔班通古特沙漠EVI时空变化特征[J].干旱区研究, 2019, 36(6):1512-1520.
[24] 姜春,吴志峰,程炯,等.广东省土地覆盖变化对植被净初级生产力的影响分析[J].自然资源学报, 2016, 31(6):961-972.
[25] 胡晓静,宋于洋,潘志辉.古尔班通古特沙漠南缘植物群落多样性的空间异质性[J].西北林学院学报, 2009, 24(5):41-45.
[26] 夏英辉,熊黑钢.古尔班通古特沙漠沙丘的生长季小生境研究[J].曲阜师范大学学报(自然科学版), 2013, 39(1):90-94.
[27] 方霞.中国干旱半干旱生态系统生产力和碳动态对气候变化响应的数值模拟研究[D].乌鲁木齐:新疆大学, 2018.
[28] PIAO Shilong, FANG Jingyun, HE Jinsheng. Variations in vegetation net primary production in the QinghaiXizang plateau, China, from 1982 to 1999[J]. Climatic Change, 2006, 74(1/2/3):253-267.
[29] PENG Jian, LIU Zhenhuan, LIU Yinghui, et al. Trend analysis of vegetation dynamics in Qinghai-Tibet Plateau using Hurst Exponent[J]. Ecological Indicators, 2012, 14(1):28-39.