基于MODIS数据的2000-2005年东北亚草地NPP模拟(英文)

编号 zgly0001586172

文献类型 期刊论文

文献题名 基于MODIS数据的2000-2005年东北亚草地NPP模拟(英文)

作者 邢晓旭  徐兴良  张宪洲  周才平  宋明华  邵彬  欧阳华 

作者单位 KeyLaboratoryofEcosystemNetworkObservationandModeling  InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  GraduateUniversityofChineseAcademyofSciences  InternationalCentreforIntegratedMountainDevelopment 

母体文献 Journal of Geographical Sciences 

年卷期 2010年02期

年份 2010 

分类号 S812 

关键词 northeasternAsia  grassland  MODIS  CASAmodel  NPP 

文摘内容 The net primary production(NPP)of grasslands in northeastern Asia was estimated using improved CASA model with MODIS data distributed from 2000 and ground data as driving variables from 2000 to 2005.Average annual NPP was 146.05 g C m-2yr -1and average annual total NPP was 0.32 Pg C yr-1in all grasslands during the period.It was shown that average annual grassland NPP in the whole northeastern Asia changed dramatically from 2000 to 2005,with the highest value of 174.80 g C m-2yr-1in 2005 and the lowest value of 125.65 g C m-2yr -1in 2001.On regional scale,average annual grassland NPP of 179.71 g C m-2yr -1in southeastern Russia was the highest among the three main grassland regions in the six years.Grasslands in northern China exhibited the highest average annual total NPP of 0.16 Pg C yr-1and contributed 51.42% of the average annual total grassland NPP in north- eastern Asia.Grassland NPP in northeastern Asia also showed a clear seasonal pattern with the highest NPP occurred in July every year.Average monthly grassland NPP in southeastern Russia was the highest from May to August while average monthly grassland NPP in northern China showed the highest NPP before May and after August.The change rate distribution of grassland NPP between the former three years and the latter three years showed grassland NPP changed slightly between the two stages in most regions,and that NPP change rate in 80.98%of northeastern Asia grasslands was between-0.2 and 0.2.Grassland NPP had close correlation with precipitation and temperature,that indicates climate change will influence the grassland NPP and thus have a great impact on domestic livestock in this region in future.