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
National Aeronautics and Space Administration

UN SDGs

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

SDG 15 Life on Land

Access to Document

10.1016/0048-9697(86)90327-X

Cite this

@article{8a05f339beac4e1fa29ca41123eacf64,

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

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.",

author = "Running, \{Steven W.\}",

year = "1986",

month = nov,

day = "15",

doi = "10.1016/0048-9697(86)90327-X",

language = "English",

volume = "56",

pages = "233--242",

journal = "Science of the Total Environment",

issn = "0048-9697",

publisher = "Elsevier B.V.",

number = "C",

}

TY - JOUR

T1 - Global primary production from terrestrial vegetation

T2 - Estimates integrating satellite remote sensing and computer simulation technology

AU - Running, Steven W.

PY - 1986/11/15

Y1 - 1986/11/15

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0022922885

U2 - 10.1016/0048-9697(86)90327-X

DO - 10.1016/0048-9697(86)90327-X

M3 - Article

AN - SCOPUS:0022922885

SN - 0048-9697

VL - 56

SP - 233

EP - 242

JO - Science of the Total Environment

JF - Science of the Total Environment

IS - C

ER -

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

Abstract

Funding

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this