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Published on: June 24, 2019
Global potential net primary production predicted from vegetation class, precipitation, and temperature
Stephen Del Grosso1, William Parton, Thomas Stohlgren
1Agricultural Research Service, US Department of Agriculture, Fort Collins, Colorado 80526, USA. delgro@nrel.colostate.edu
Ecology
|August 30, 2008
Summary
A new model estimates global Net Primary Production (NPP), crucial for the carbon cycle. It uses climate and land cover data, improving accuracy for different ecosystems like forests and grasslands.
Area of Science:
- Ecology
- Biogeochemistry
- Climate Science
Background:
- Net Primary Production (NPP) is a key component of the global carbon cycle, representing the balance between photosynthesis and respiration.
- Accurate estimation of global NPP is vital for understanding ecosystem function and climate change impacts.
- Existing empirical models often overestimate NPP in non-tree-dominated systems.
Purpose of the Study:
- To develop a simple regression model for estimating global NPP using readily available climate and land cover data.
- To improve the accuracy of NPP estimations, particularly for non-tree-dominated ecosystems.
- To provide updated estimates of global NPP for the late 20th century and assess changes over time.
Main Methods:
- Compiled approximately 5600 global data points including observed NPP, land cover, precipitation, and temperature.
- Developed a new regression model (NCEAS model) differentiating between tree-dominated and non-tree-dominated systems.
- Validated model performance by comparing precipitation and temperature correlations with NPP across different land cover types.
Main Results:
- Precipitation was a stronger predictor of NPP than temperature, especially for grass/shrub systems (r2 = 0.68).
- Tree-dominated systems exhibited significantly higher NPP than non-tree systems at similar precipitation levels.
- The NCEAS model accurately estimated NPP for tree systems using precipitation and temperature, while relying solely on precipitation for non-tree systems to minimize error.
Conclusions:
- The NCEAS model provides more accurate global NPP estimates by accounting for land cover differences.
- Estimated late 20th-century global aboveground and total NPP at approximately 28 Pg and 46 Pg C/yr, respectively.
- The model indicated a ~13% increase in global NPP from 1901-2000 due to changing climate patterns.
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