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Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data

机译:结合基于过程的生物地球化学模型和MODIS和AmeriFlux数据,对美国本土的陆地生态系统碳动态进行定量

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Satellite remote sensing provides continuous temporal and spatialinformation of terrestrial ecosystems. Using these remote sensing data andeddy flux measurements and biogeochemical models, such as the TerrestrialEcosystem Model (TEM), should provide a more adequate quantification ofcarbon dynamics of terrestrial ecosystems. Here we use Moderate ResolutionImaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), LandSurface Water Index (LSWI) and carbon flux data of AmeriFlux to conduct sucha study. We first modify the gross primary production (GPP) modeling in TEMby incorporating EVI and LSWI to account for the effects of the changes ofcanopy photosynthetic capacity, phenology and water stress. Second, weparameterize and verify the new version of TEM with eddy flux data. We thenapply the model to the conterminous United States over the period 2000–2005at a 0.05° × 0.05° spatial resolution. We find that the newversion of TEM made improvement over the previous version and generallycaptured the expected temporal and spatial patterns of regional carbondynamics. We estimate that regional GPP is between 7.02 and 7.78 Pg C yr?1and net primary production (NPP) ranges from 3.81 to 4.38 Pg C yr?1and net ecosystem production (NEP) varies within 0.08–0.73 Pg C yr?1over the period 2000–2005 for the conterminous United States.The uncertainty due to parameterization is 0.34, 0.65 and 0.18 Pg C yr?1for the regional estimates of GPP, NPP and NEP, respectively. The effects ofextreme climate and disturbances such as severe drought in 2002 anddestructive Hurricane Katrina in 2005 were captured by the model. Our studyprovides a new independent and more adequate measure of carbon fluxes forthe conterminous United States, which will benefit studies of carbon-climatefeedback and facilitate policy-making of carbon management and climate.
机译:卫星遥感提供了陆地生态系统的连续时间和空间信息。使用这些遥感数据和涡流测量值以及生物地球化学模型,例如陆地生态系统模型(TEM),应该可以更充分地量化陆地生态系统的碳动态。在这里,我们使用中等分辨率成像光谱仪(MODIS)增强植被指数(EVI),地表水指数(LSWI)和AmeriFlux的碳通量数据进行了此类研究。我们首先通过结合EVI和LSWI来修改TEM中的初级生产总值(GPP)模型,以解释冠层光合能力,物候和水分胁迫变化的影响。其次,我们用涡流数据对新版本的TEM进行参数化和验证。然后,我们将模型以0.05°×0.05°的空间分辨率应用于2000-2005年的美国本土。我们发现TEM的新版本比以前的版本进行了改进,并大致捕获了区域碳动力学的预期时空格局。我们估计区域GPP在7.02至7.78 Pg C yr ?1 之间,净初级生产(NPP)范围从3.81至4.38 Pg C yr ?1 和生态系统净产量(NEP)在2000-2005年间对于美国本土而言在0.08–0.73 Pg C yr ?1 范围内。参数化带来的不确定性为0.34、0.65和0.18 Pg C yr ? 1 分别用于GPP,NPP和NEP的区域估计。该模型捕获了极端气候和干扰(如2002年的严重干旱和2005年的破坏性卡特里娜飓风)的影响。我们的研究为美国本土地区的碳通量提供了一种新的独立且更充分的衡量方法,这将有益于碳气候反馈的研究,并促进碳管理和气候的政策制定。

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