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A global land primary productivity and phytogeography model

Woodward, F. Ian, Smith, Thomas M., Emanuel, William R.·1995·Global Biogeochemical Cycles

Abstract

A global primary productivity and phytogeography model is described. The model represents the biochemical processes of photosynthesis and the dependence of gas exchange on stomatal conductance, which in turn depends on temperature and soil moisture. Canopy conductance controls soil water loss by evapotranspiration. The assignment of nitrogen uptake to leaf layers is proportional to irradiance, and respiration and maximum assimilation rates depend on nitrogen uptake and temperature. Total nitrogen uptake is derived from soil carbon and nitrogen and depends on temperature. The long‐term average annual carbon and hydrological budgets dictate canopy leaf area. Although observations constrain soil carbon and nitrogen, the distribution of vegetation types is not specified by an underlying map. Variables simulated by the model are compared to experimental results. These comparisons extend from biochemical processes to the whole canopy, and the comparisons are favorable for both current and elevated CO 2 atmospheres. The model is used to simulate the global distributions of leaf area index and annual net primary productivity. These distributions are sufficiently realistic to demonstrate that the model is useful for analyzing vegetation responses to global environmental change.

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Metadata

Authors
Woodward, F. I., Smith, T. M., & Emanuel, W. R.
Venue
Global Biogeochemical Cycles
Published
1995-12
Volume
9
Issue
4
Pages
471-490
ISSN
  • 0886-6236 (ISSN-L)
  • 1944-9224
OpenAlex
W2123086055
Cited by
529
References
1
FWCI
23.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A global land primary productivity and phytogeography model. https://app.cochat.ai/papers/10.1029/95gb02432
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Woodward, F. I., Smith, T. M., & Emanuel, W. R. (1995). A global land primary productivity and phytogeography model. Global Biogeochemical Cycles. https://doi.org/10.1029/95gb02432

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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