Global primary production from terrestrial vegetation: Estimates integrating satellite remote sensing and computer simulation technology

Steven W. Running

doi:10.1016/0048-9697(86)90327-X

Global primary production from terrestrial vegetation: Estimates integrating satellite remote sensing and computer simulation technology

Steven W. Running

W. A. Franke College of Forestry and Conservation

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Net primary production (NPP) of terrestrial vegetation is probably the most fundamental measure of global habitability. Previous attempts to estimate NPP of large areas have developed correlations with one of three basic variables; actual evapotranspiration (AET), leaf area index (LAI), or absorbed photosynthetically active radiation (APAR). This paper presents ideas that integrate these three variables into a new formula for estimating NPP of large areas. The three key variables needed, LAI, intercepted shortwave radiation (Q_int), and surface temperature (T_grow) are all measurable by current satellites. Consequently, a first dynamic estimate of global terrestrial NPP may now be possible integrating satellite measurements with simple ecosystem models of carbon conversion efficiency.

Original language	English
Pages (from-to)	233-242
Number of pages	10
Journal	Science of the Total Environment
Volume	56
Issue number	C
DOIs	https://doi.org/10.1016/0048-9697(86)90327-X
State	Published - Nov 15 1986

Funding

ACKNOWLEDGEMENT This research was funded by the Earth Sciences and Application Division of the National Aeronautics and Space Administration, Washington, D.C., U.S.A.

Funders	Funder number
National Aeronautics and Space Administration

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/0048-9697(86)90327-X

Cite this

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abstract = "Net primary production (NPP) of terrestrial vegetation is probably the most fundamental measure of global habitability. Previous attempts to estimate NPP of large areas have developed correlations with one of three basic variables; actual evapotranspiration (AET), leaf area index (LAI), or absorbed photosynthetically active radiation (APAR). This paper presents ideas that integrate these three variables into a new formula for estimating NPP of large areas. The three key variables needed, LAI, intercepted shortwave radiation (Qint), and surface temperature (Tgrow) are all measurable by current satellites. Consequently, a first dynamic estimate of global terrestrial NPP may now be possible integrating satellite measurements with simple ecosystem models of carbon conversion efficiency.",

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Global primary production from terrestrial vegetation: Estimates integrating satellite remote sensing and computer simulation technology

Abstract

Funding

UN SDGs

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