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根据59株湿地松(Pinuselliottii)树干解析资料,分析直径结构动态,结合乔木种群生物量模型及样方调查数据估算单位面积生物量的年净增长量;依据12a凋落物监测数据计算湿地松林群落NPP.利用BIOMEBGC模型对千烟洲21a的NPP进行跨尺度模拟,并结合近3a通量观测数据进行对比研究.湿地松人工林群落生物量为10574g·m?2,其中乔木层、灌木层、草本层、乔木根系、灌木草本根系和细根生物量依次为7542,480,239,1810,230和274g·m?2.近5a(1999~2004)湿地松林年增长量平均值为741g·m?2·a?1(=381.31gC·m?2·a?1),年凋落量平均值为849g·m?2·a?1(=463gC·m?2·a?1).年增长量与年凋落量相关性非常显著.凋落量约为乔木层年增长量的1.19倍.BGC模型模拟的1985~2005年NPP和GPP平均值分别为630.88gC·m?2·a?1(343.31~906.42gC·m?2·a?1)和1800gC·m?2·a?1(1351.62~2318.26gC·m?2·a?1).湿地松林乔木层实测NPP结果与BGC模拟NPP结果之间呈线性关系.BGC模拟的NPP因受参数影响而偏小13.75%~21.77%;受数据质量影响而偏小9.3%.NPP占GPP的30.2%(25.6%~32.9%),NEP占乔木层NPP的57.5%(48.1%~66.5%),占森林群落NPP的41.74%(37%~52%).土壤呼吸占实测乔木NPP的77.0%,占实测森林群落NPP的55.9%.涡度相关法观测NEE比实地观测的NEP高12.97%.
According to the analysis data of 59 Pinus iliattii trunk, the diameter structure dynamic was analyzed, and the annual net increment of biomass per unit area was estimated based on the arbor population biomass model and the quadrat survey data. The NPP of Pinus elliottii was calculated based on the monitoring data of 12a litter. The cross-scale simulation of NPP in Qianyanzhou 21a by BIOMEBGC model was carried out and the results were compared with the observed data of nearly 3 years fluxes.The biomass of the Pinus elliottii plantation was 10574g · m -2, in which the tree layer, shrub layer, herb The root biomass and root biomass of shrubs were 7542, 480, 239, 1810, 230 and 274g · m -2 in succession.The mean annual growth of Pinus elliottii in the recent five years (1999 ~ 2004) was 741g · m -2 The average annual litterfall is 849g · m -2 · a · 1 (= 463gC · m -2 · a · 1). The annual increase is similar to that of year The correlation of litterfall was very significant.The litterfall was about 1.19 times of the annual growth of tree.The mean of NPP and GPP simulated by BGC model from 1985 to 2005 were 630.88gC · m -2 · a · 1 (343.31 ~ 906.42gC · M · 2 · a · 1) and 1800gC · m · 2 · a · 1 (1351.62 ~ 2318.26gC · m · 2 · a · 1). The measured NPP results of the tree layer in the Pinus elliottii plantation were linear with the results of the BGC simulated NPP NPP of BPM simulated by the parameters was small, 13.75% ~ 21.77%, but 9.3% less affected by data quality, NPP accounted for 30.2% (25.6% ~ 32.9%) of GPP, NEP accounted for 57.5% (48.1% -66.5%), accounting for 41.74% (37% -52%) of forest community NPP.The soil respiration accounted for 77.0% of the measured NPP and accounted for 55.9% of the NPP of the measured forest community.Vorticity-correlation method was used to observe the NEE ratio The NEP observed in the field was 12.97% higher.