Traceable components of terrestrial carbon storage capacity in biogeochemical models

Jianyang Xia, Yiqi Luo, Ying Ping Wang, Oleksandra Hararuk

Research output: Contribution to journalArticlepeer-review

104 Scopus citations


Biogeochemical models have been developed to account for more and more processes, making their complex structures difficult to be understood and evaluated. Here, we introduce a framework to decompose a complex land model into traceable components based on mutually independent properties of modeled biogeochemical processes. The framework traces modeled ecosystem carbon storage capacity (Xss) to (i) a product of net primary productivity (NPP) and ecosystem residence time (τE). The latter τE can be further traced to (ii) baseline carbon residence times (τ′E), which are usually preset in a model according to vegetation characteristics and soil types, (iii) environmental scalars (ξ), including temperature and water scalars, and (iv) environmental forcings. We applied the framework to the Australian Community Atmosphere Biosphere Land Exchange (CABLE) model to help understand differences in modeled carbon processes among biomes and as influenced by nitrogen processes. With the climate forcings of 1990, modeled evergreen broadleaf forest had the highest NPP among the nine biomes and moderate residence times, leading to a relatively high carbon storage capacity (31.5 kg cm-2). Deciduous needle leaf forest had the longest residence time (163.3 years) and low NPP, leading to moderate carbon storage (18.3 kg cm-2). The longest τE in deciduous needle leaf forest was ascribed to its longest τ′E (43.6 years) and small ξ (0.14 on litter/soil carbon decay rates). Incorporation of nitrogen processes into the CABLE model decreased Xss in all biomes via reduced NPP (e.g., -12.1% in shrub land) or decreased τE or both. The decreases in τE resulted from nitrogen-induced changes in τ′E (e.g., -26.7% in C3 grassland) through carbon allocation among plant pools and transfers from plant to litter and soil pools. Our framework can be used to facilitate data model comparisons and model intercomparisons via tracking a few traceable components for all terrestrial carbon cycle models. Nevertheless, more research is needed to develop tools to decompose NPP and transient dynamics of the modeled carbon cycle into traceable components for structural analysis of land models.

Original languageEnglish (US)
Pages (from-to)2104-2116
Number of pages13
JournalGlobal change biology
Issue number7
StatePublished - Jul 2013
Externally publishedYes


  • Benchmarking analysis
  • Biome
  • Carbon and nitrogen coupling
  • Model intercomparison
  • Traceability
  • Vegetation type

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Ecology
  • General Environmental Science


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