期刊文献+

基于CASA模型的海河流域生物量估算及特征分析

Estimation and Characteristics Analysis of Haihe Rive Biomass Based on CASA Model
下载PDF
导出
摘要 生物量估算研究有助于寻找陆地植被从大气中固定碳的数量及影响其时空分布的驱动因子,在此基于CASA(Carnegie AmesStanford Approach)模型,结合遥感数据和匹配的温度、降水、太阳辐射资料以及全国1∶400万植被图,估算海河流域2002 ~ 2007年的生物量,并以2007年为例分析了不同植被类型、不同植被覆盖度的生物量差异以及生物量随季节变化特征和空间分布.结果表明,CASA模型适用于海河流域生物量研究;6年来,海河流域年均生物量总量为405.5 Tg;海河流域的年生物量分布呈东南高西北低的趋势,平原生物量>山区生物量>高原生物量. The research of biomass estimation will help in understanding the amount of carbon fixed by terrestrial vegetation and its influencing factors.Using CASA model,combined with remote sensing image,temperature,precipitation,solar radiation with matches and 1∶4 000 000 vegetation mapping,the Haihe River biomass (2002-2007) was estimated.The biomass variation of different vegetation types and vegetation cover was analyzed,meanwhile,spatial distribution and characteristics was analyzed as the seasons change.The results validate the CASA's applicability in Haihe River; during the past 6 years,the average biomass is 405.5 Tg; the total annual biomass in the Haihe River watershed appears an overall trend of high in southeast and low in northwest,plain biomass 〉 mountains biomass 〉 plateau biomass.
作者 王岚 陈雪洋
出处 《安徽农业科学》 CAS 2014年第19期6346-6349,共4页 Journal of Anhui Agricultural Sciences
关键词 生物量 CASA模型 海河流域 变化特征 Biomass CASA model Haihe River Variation characteristics
  • 相关文献

参考文献19

  • 1方精云,刘国华,徐嵩龄.我国森林植被的生物量和净生产量[J].生态学报,1996,16(5):497-508. 被引量:1089
  • 2冯宗饰 王效科 吴刚.中国森林生态系统的生物量和生产力[M].北京:科学出版社,1999.1~6.
  • 3宋开山,张柏,于磊,王宗明.玉米地上鲜生物量的高光谱遥感估算模型研究[J].农业系统科学与综合研究,2005,21(1):65-67. 被引量:37
  • 4CIAIS P,TANS P P,TROLIER M J ,et al. A large northern hemisphere ter- restrial CO2 sink indicated by the ^13C/^12C ratio of atmospheric CO2 [J]. Science, 1995,269:1098 - 1102.
  • 5FILED C B,BEHRENFELD M J,RANDERSON J T,et al. Primary production of the biosphere:integrating terrestrial and oceanic components[ J ]. Science, 1998,281:237 -240.
  • 6ALEXANDROV G A,OIKAWA T,YAMAGATA Y. The Scheme for Globalization of a Process - based Model Explaining Gradations in Terrestrial NPP and Its Application [ J ]. Ecological Modeling,2002,148 ( 3 ) :293 - 306.
  • 7GRAMER W ,KICKLIGHTER D W,BONDEAU A,et at. Comparing Global Models of Terrestrial Net Primary Productivity (NPP) : Overview and Key Results [ J ]. Global Change Biology, 1999,1 ( S1 ) : 1 - 15.
  • 8CAO M K, WOODWARD F . Dynamic responses of terrestrial ecosysytem carbon cycling to global climate change[J]. Nature,1998,393:249 -252.
  • 9ICHII K,MATSUI Y,YAMAGUCHI Y,et al. Comparison of global net primary production trends obtained from satellite - based normalized differ- ence vegetation index and carbon cycle model [ J ]. Global Biogeochemical Cycles ,2001,15:351 - 363.
  • 10POLLER C S,RANDERSON J T,FIELD C B,et al. Terrestrial ecosysterm production : a process model based on global setelite and surface data[J]. Global Biogeochemical Cycles,1993,7:811-841.

二级参考文献132

共引文献1889

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部