TERRESTRIAL ECOSYSTEM PRODUCTION - A PROCESS MODEL-BASED ON GLOBAL SATELLITE AND SURFACE DATA

TERRESTRIAL ECOSYSTEM PRODUCTION - A PROCESS MODEL-BASED ON GLOBAL SATELLITE AND SURFACE DATA
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DOI:
10.1029/93gb02725
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发表时间:
1993-12-01
影响因子:
5.2
通讯作者:
KLOOSTER, SA
KLOOSTER, SA
中科院分区:
地球科学1区
文献类型:
--
作者:
POTTER, CS;RANDERSON, JT;KLOOSTER, SA

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本文提出了一种模拟方法,旨在解决全球气候和土壤控制模式的陆地生态系统生产和土壤微生物呼吸的季节性。我们使用卫星图像(高级甚高分辨率辐射计和国际卫星云气候学项目太阳辐射),沿着历史气候(月温度和降水量)和土壤属性(质地,C和N含量)从全球(1度)数据集作为模型输入。生物圈模型以月为时间间隔运行,以模拟净植物固碳、生物量和养分分配、凋落物、土壤氮矿化和微生物CO2产生的季节性模式。全球陆地净初级生产力的模型估计值为48 Pg C yr-1,最大光利用效率为0.39 g C MJ-1 PAR。70%以上的陆地净生产发生在北纬30度和南纬30度之间。稳态池的立枯落物代表全球存储约174 Pg C(94和80 Pg C在非木本和木本池,分别),而池的土壤C在顶部0.3米,是翻了十年的时间尺度包括300 Pg C。气候变化烧瓶采样网络地球物理监测三个站点大气CO2浓度的季节变化与估计的净生态系统生产值显著相关,平均超过50度-80度-N,10度-30度-N和0度-10度-N。
This paper presents a modeling approach aimed at seasonal resolution of global climatic and edaphic controls on patterns of terrestrial ecosystem production and soil microbial respiration. We use satellite imagery (Advanced Very High Resolution Radiometer and International Satellite Cloud Climatology Project solar radiation), along with historical climate (monthly temperature and precipitation) and soil attributes (texture, C and N contents) from global (1-degrees) data sets as model inputs. The Carnegie-Ames-Stanford approach (CASA) Biosphere model runs on a monthly time interval to simulate seasonal patterns in net plant carbon fixation, biomass and nutrient allocation, litterfall, soil nitrogen mineralization, and microbial CO2 production. The model estimate of global terrestrial net primary production is 48 Pg C yr-1 with a maximum light use efficiency of 0.39 g C MJ-1 PAR. Over 70% of terrestrial net production takes place between 30-degrees-N and 30-degrees-S latitude. Steady state pools of standing litter represent global storage of around 174 Pg C (94 and 80 Pg C in nonwoody and woody pools, respectively), whereas the pool of soil C in the top 0.3 m that is turning over on decadal time scales comprises 300 Pg C. Seasonal variations in atmospheric CO2 concentrations from three stations in the Geophysical Monitoring for Climate Change Flask Sampling Network correlate significantly with estimated net ecosystem production values averaged over 50-degrees-80-degrees-N, 10-degrees-30-degrees-N, and 0-degrees-10-degrees-N.