Representing subgrid‐scale edaphic heterogeneity in a large‐scale ecosystem model: A case study in the circumpolar boreal regions
Representing subgrid‐scale edaphic heterogeneity in a large‐scale ecosystem model: A case study in the circumpolar boreal regions
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代表大规模生态系统模型中的亚网格尺度土壤异质性:环极地北方地区的案例研究
DOI:
10.1029/2008gl035701
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发表时间:
2008
影响因子:
5.2
通讯作者:
Hisashi Sato
中科院分区:
文献类型:
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作者:
T. Ise;Hisashi Sato
Strong feedback interactions occur between terrestrial ecological processes and climate. However, vegetation dynamics have not been adequately reproduced by many large‐scale ecosystem models and coupled climate models because local environmental variations are not sufficiently considered. By estimating subgrid‐scale ecosystem productivity potentials within large grid cells, we explicitly incorporated local edaphic heterogeneity into the Spatially Explicit Individual‐Based Dynamic Global Vegetation Model (SEIB‐DGVM). We assumed that high‐resolution land cover data reflected the underlying ecosystem productivity potentials originating from edaphic variations. We categorized high‐resolution Global Land Cover 2000 database (GLC2000) pixels into high, intermediate, and low productivity potentials and obtained fractional cover of these potentials on a DGVM grid. Then we performed transient dynamic vegetation simulations on circumpolar boreal regions with high, intermediate, and low photosynthetic capacities. Using the productivity potentials as weight, we estimated total leaf area index (LAI) that integrates the smaller‐scale variation of each DGVM grid. Ground‐based observations and a remote sensing product were used to evaluate the model performance. The regional pattern of simulated LAI was significantly improved, especially for the North American boreal regions. Improvement was minor for northern Eurasia, suggesting the qualitative classification by GLC2000 was the critical control on our approach. The results suggested that even a rather simplistic consideration of subgrid‐scale heterogeneity could significantly improve large‐scale simulations.
DOI:
--
发表时间:
2005
期刊:
Journal of the earth Simulator Vol.4
影响因子:
--
作者:
Tomita;T.;M.Nonaka;M.Gauss;Michio Kawamiya
通讯作者:
Michio Kawamiya