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[1]GUO Lianfa,LAI Quan,YI Boli,et al.Spatiotemporal Changes of Net Primary Productivity of River Wetland and Its Driving Factors in Hulun Buir Sandy Land in 2000-2014[J].Research of Soil and Water Conservation,2017,24(06):267-272.

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Spatiotemporal Changes of Net Primary Productivity of River Wetland and Its Driving Factors in Hulun Buir Sandy Land in 2000-2014

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 06 Page number: 267-272 Column: Public date: 2017-11-24

Title:: Spatiotemporal Changes of Net Primary Productivity of River Wetland and Its Driving Factors in Hulun Buir Sandy Land in 2000-2014

Author(s):: GUO Lianfa¹, LAI Quan^1,2, YI Boli¹, YIN Shan¹; 1. School of Geographical Sciences, Inner Mongolia Normal University, Hohhot 010022, China;
2. Key Laboratory of Remote Sensing and Geographic Information, Inner Mongolia Normal University, Hohhot 010022, China

Keywords:: net primary productivity; temporal and spatial variation; driving force analysis; river wetland

CLC:: TP79

DOI:: -

Abstract:: Net primary productivity (NPP) can directly reflect the production capacity of the vegetation in the natural environment. the NPP of River Wetland in Hulun Buir sandy land on air changes and driving force were analyzed using the data of temperature and precipitation and combining with remote sensing images, simple difference method and trend analysis and linear regression. The results showed that:considering the time, the sandy land in Hulun Buir River Wetland NPP presented the fluctuant growth, NPP growth in the area of wetland accounted for up to 92.51% of area, the annual growth rate was between 0~2 gC/(m²·a); with respect to the space, NPP presented the distribution of the east high west low; during the 15 years, the wetland with fastest growing NPP is in Western Herlen wetland with growth area of up to 99.5%; climate change and human activities are two important factors that lead to the changes of NPP, NPP is significantly correlated with the increase of precipitation (R=0.703), negatively correlated with temperature(R=-0.559). The change of the economic industrial structure makes the pressure of human activities on the ecological environment decrease, which leads to the increase of NPP. At the same time, the national policy and the sand control project also affect the change of NPP.

References:: [1] Desta H, Lemma B, Fetene A. Aspects of climate change and its associated impacts on wetland ecosystem functions:A review[J]. Journal of American Science, 2012,8(10):582-596.
[2] 白林波,白明生,贾科利.银川市景观格局动态变化研究[J].水土保持研究,2011,18(2):265-267.
[3] 刘征,赵旭阳,米林迪.基于3S技术的河北省山区植被净初级生产力估算及空间格局研究[J].水土保持研究,2014,21(4):143-147.
[4] 彭少麟,郭志华,王伯荪. RS和GIS在植被生态学中的应用及其前景[J].生态学杂志,1999,18(5):52-64.
[5] 朴世龙,方精云,郭庆华.利用CASA模型估算我国植被净第一性生产力[J].植物生态学报,2001,25(5):603-608.
[6] 毛德华.定量评价人类活动对东北地区沼泽湿地植被NPP的影响[D].北京:中国科学院研究生院(东北地理与农业生态研究所),2014.
[7] 王新闯,王世东,张合兵.基于MOD17A3的河南省NPP时空格局[J].生态学杂志,2013,32(10):2797-2805.
[8] 穆少杰,李建龙,周伟,等.2001-2010年内蒙古植被净初级生产力的时空格局及其与气候的关系[J].生态学报,2013,33(12):3752-3764.
[9] 周爱萍,向悟生,姚月锋,等.广西植被净初级生产力(NPP)时空演变及主要影响因素分析[J].广西植物,2014,34(5):008.
[10] 潘学平.呼伦贝尔草原植被覆盖度与地上生物量时空格局研究[D].石家庄:河北师范大学,2015.
[11] 李登科,范建忠,王娟.基于MOD17A3的陕西省植被NPP变化特征[J].生态学杂志,2011,30(12):2776-2782.
[12] 国志兴,王宗明,张柏,等.2000-2006年东北地区植被NPP的时空特征及影响因素分析[J].资源科学,2008,30(8):1226-1235.
[13] 邹继峰,徐永民,刘伟杰,等.呼伦贝尔沙地现状及变化分析[J].内蒙古林业调查设计,2011,34(6):35-38.
[14] 刘晶,白殿奎,宋卫士,等.呼伦贝尔沙地治理的对策与建议[J].畜牧与饲料科学,2010,31(9):33-34.
[15] 高军靖.呼伦贝尔草原生态安全评价研究[D].北京:中国环境科学研究院,2013.
[16] 王强,张廷斌,易桂花,等.横断山区2004-2014年植被NPP时空变化及其驱动因子分析[J].生态学报,2017,37(9):1-13.
[17] 孙庆龄,冯险峰,肖潇.武陵山区植被净第一性生产力的时空格局及其与地形因子的关系[J].地球信息科学学报,2014,16(6):915-924.
[18] 孟丹,李小娟,宫辉力,等.京津冀地区NDVI变化及气候因子驱动分析[J].地球信息科学学报,2015,17(8):1001-1007.
[19] 国务院.国务院关于进一步做好退耕还林还草试点工作的若干意见[J].湖北政报,2000(10):13-15.
[20] 张宝珠,金维林,葛士林,等.呼伦贝尔沙地治理布局及治理模式[J].中国沙漠,2013,33(5):005.

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