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Remote Sensing of Biosphere Functioning pp 65–86Cite as

Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation

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Part of the book series: Ecological Studies ((ECOLSTUD,volume 79))

Abstract

Beginning in 1972 with the launch of Landsat 1, estimation of terrestrial plant production has been one of the most important applications attempted of satellite remote sensing. Initial interest focused on the prediction of regional crop yields, such as wheat (Erickson, 1984). However, changing goals, hardware capabilities, and theory have produced a steady evolution in the approaches taken to calculate net primary production (NPP) of large areas. Interest has also expanded to calculating primary production of natural vegetation. The much wider array of topography, climate, canopy geometry, and life-cycle dynamics exhibited by natural vegetation make computation of primary production much more challenging than the rather controlled, organized field conditions of a crop.

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References

  • Asrar, G., Fuchs, M., Kanemasu, E.T., Hatfield, J.L. (1984). Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron.J. 76:300–306.

    Article  Google Scholar 

  • Bolin, B. (1977). Changes of land biota and their importance for the carbon cycle. Science 196:613–615.

    Article  PubMed  CAS  Google Scholar 

  • Curran, P.J. (1983). Multispectral remote sensing for the estimation of green leaf area index. Philosoph. Trans. Roy. Soc. London 309:257–270.

    Article  Google Scholar 

  • Dickinson, R.E. (1987). Evapotranspiration in global climate models. Adv. Space Res. 7:17–26.

    Article  Google Scholar 

  • DOE. (1985). Projecting the Climatic Effects of Increasing Carbon Dioxide. In M.C. MacCracken and F.M. Luther (ed.). U.S. Dept. of Energy DOE/ER-0237Washington, DC.

    Google Scholar 

  • Dunin, F.R., and Aston, A.R. (1984). The development and proving of models of large scale evapotranspiration: An Australian study. Agric. Water Manag. 8:305–323.

    Article  Google Scholar 

  • Emmanuel, W.R., Killough, G.G., Post, W.M. and Shugart, H.H. (1984). Modeling terrestrial ecosystems in the global carbon cycle with shifts in carbon storage capacity by land-use change. Ecology 65:970–983.

    Article  Google Scholar 

  • Erickson, J.D. (1984). The LACIE experiment in satellite aided monitoring of global crop production, pp. 191–220. In G.M. Woodwell (ed.), SCOPE23: The Role of Terrestrial Vegetation in the Global Carbon Cycle. Wiley, NY.

    Google Scholar 

  • Gholz, H.L. (1982). Environmental limits on aboveground net primary production, leaf area, and biomass in vegetation zones of the Pacific Northwest. Ecology 63:469–481.

    Article  Google Scholar 

  • Goward, S.N. (1989). Satellite bioclimatology. J. Clim. 2:710–720.

    Article  Google Scholar 

  • Goward, S.N., Kerber, A., Dye, D.G., and Kalb, V. (1987). Comparison of North and South American biomes from AVHRR observations. Geocarto 2:27–40.

    Article  Google Scholar 

  • Goward, S.N., Tucker, C.J., and Dye, D.G. (1985). North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetatio 64:3–14.

    Article  Google Scholar 

  • Grier, C.C., and Running, S.W. (1977). Leaf area of mature northwestern coniferous forests: relation to site water balance. Ecology 58:893–899.

    Article  Google Scholar 

  • Grotch, S.L. (1988). Regional Intercomparisons of General Circulation Model Predictions and Historical Climate Data. U.S. Dept. of Energy DOE/NBB-0084, Washington, DC.

    Google Scholar 

  • Hansen, J., Johson, D., Lacis, A., Lebedeff, S., Lee, P., Rind, D., and Russell, G. (1981). Climate impact of increasing atmospheric carbon dioxide. Science 213:957–966.

    Article  PubMed  CAS  Google Scholar 

  • Holben, B.N. (1986). Characteristics of maximum value composite images from temporal AVHRR data. Int. J. Remote Sens. 7:1417–1434.

    Article  Google Scholar 

  • Hope, A.S., (1988). Estimation of wheat canopy resistance using combined remotely sensed spectral reflectance and thermal observations. Remote Sens. Envir. 24:369–383.

    Article  Google Scholar 

  • Hungerford, R.D. (1987). Estimation of foliage area in dense Montana lodgepole pine stands. Canad. J. Forest Res. 17:320–324.

    Article  Google Scholar 

  • Jarvis, P.G., and Leverenz, J.W. (1983). Productivity of temperate, deciduous and evergreen forests. In Physiological Plant Ecology, Vol. 12D: Ecosystem Processes: Mineral Cycling, Productivity and Man’s Influence. Springer-Verlag, NY.

    Google Scholar 

  • Jarvis, P.G., and McNaughton, K.G. (1986). Stomatal control of transpiration. Scaling up from leaf to region. Adv. Ecolog. Res. 15:1–49.

    Article  Google Scholar 

  • Justice, C, Townshend, J., Holben, B., and Tucker, C. (1985). Analysis of the phenology of global vegetation using meteorological satellite data. Int. J. Remote Sens. 6:1271–1318.

    Article  Google Scholar 

  • Knight, D.H., Fahey, T.J., Running, S.W., Harrison, A.T., and Wallance, L.L. (1981). Transpiration from 100-yr-old lodgepole pine forests estimated with whole-tree potometers. Ecology 62:717–726.

    Article  Google Scholar 

  • Leith, H., and Whittaker, R.H. (eds.) (1975). Primary Productivity of the Biosphere. Springer-Verlag, NY.

    Google Scholar 

  • Matthews, E. (1983). Global vegetation and land use: new high-resolution data bases for climate studies. J. Clim. Appl. Meteorol. 22:474–500.

    Article  Google Scholar 

  • McClain, E.P. (1980). Multiple atmospheric window techniques for satellite derived sea surface temperatures, pp. 73–85. In J.F.R. Grower (ed.), Oceanography from Space. Plenum Press, NY.

    Google Scholar 

  • Monteith, J.L. (1981). Climatic variation and the growth of crops. Quart. J. Roy. Meteorol. Soc. 107:749–774.

    Article  Google Scholar 

  • Mooney, H.A., Ferrar, P.J., and Slatyer, R.O. (1987). Photosynthetic capacity and carbon allocation patterns in diverse growth forms of eucalyptus. Oecologia 36:103–111.

    Article  Google Scholar 

  • NAS (Nat. Acad. Sci.). (1986). Remote Sensing of the Biosphere. Report of the Committee on Planetary Biology. Nat. Acad. Press, Washington, DC.

    Google Scholar 

  • NASA (Nat. Aeronaut, and Space Admin). (1983a). Global Biology Research Program. MR Ramble (ed.), NASA Tech. Memo. 85629, Washington, DC.

    Google Scholar 

  • NASA (Nat. Aeronaut, and Space Admin). (1983b). Land-Related Global Habitability Science Issues. NASA Tech. Memo. 85841, Washington, DC.

    Google Scholar 

  • Nemani, R., and Running, S.W. (1989a). Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation. Agric. Forest Meteorol. 44:245–260.

    Article  Google Scholar 

  • Nemani, R., and Running, S.W. (1989b). Estimating regional surface resistance to evapotranspiration from NDVI and Thermal-IR AVHRR data. J. Appl. Meteorol. 28:276–284.

    Article  Google Scholar 

  • Perry, C.R., and Lautenschlager, L.F. (1984). Functional equivalence of spectral vegetation indices. Remote Sens. Envir. 14:169–182.

    Article  Google Scholar 

  • Peterson, D.L., Spanner, M.A., Running, S.W., and Teuber, K.B. (1987). Relationship of thematic mapper simulator data to leaf area index of temperate coniferous forests. Remote Sens. Envir. 22:323–341.

    Google Scholar 

  • Pierce, L.L., and Running, S.W., (1988). Rapid estimation of coniferous forest leaf area index using a portable integrating radiometer. Ecology 69:1762–1767.

    Article  Google Scholar 

  • Running, S.W. (1984). Microclimate control of forest productivity: analysis by computer simulation of annual photosynthesis/transpiration balance in different environments. Agric. Forest Meteorol. 32:267–288.

    Article  Google Scholar 

  • Running, S.W., and Coughlan, J.C. (1988). A general model of forest ecosystem processes for regional applications. I. Hydrologic balance, canopy gas exchange and primary production processes. Ecol. Model. 42:125–154.

    Article  CAS  Google Scholar 

  • Running, S.W., and Nemani, R.R. (1988). Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates. Remote Sens. Envir. 24:347–367.

    Article  Google Scholar 

  • Running, S.W., Nemani, R.R., and Hungerford, R.D. (1987). Extrapolation of synoptic meteorological data in mountainous terrain, and its use for simulating forest evapotranspiration and photosvnthesis. Canad. J. Forest Res. 17:472–483.

    Article  Google Scholar 

  • Running, S.W., Nemani, R.R., Peterson, D.L., Band, L.E., Potts, D.F., Pierce, L.L., and Spanner, M.A. (1989). Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation. Ecology 70:1090–1101.

    Article  Google Scholar 

  • Running, S.W., Peterson, D.L., Spanner, M.A., and Teuber, K.B. (1986). Remote sensing of coniferous forest leaf area. Ecology 67:273–276.

    Article  Google Scholar 

  • Schulze, E.D., Cermak, J., Matyssek, R., Penka, M., Zimmerman, R., Vasicek, F., Gries, W., and Kucera, J. (1985). Canopy transpiration and water fluxes in the xylem of the trunk of Larix and Picea trees—a comparison of xylem flow, porometer and cuvette measurements. Oecologia (Berlin) 66:475–483.

    Article  Google Scholar 

  • Sellers, P.J. (1985). Canopy reflectance, photosynthesis and transpiration. Int. J. Remote Sens. 6:1335–1372.

    Article  Google Scholar 

  • Sellers, P.J. (1987). Canopy reflectance, photosynthesis and transpiration. II. The role of biophysics in the linearity of their interdependence. Remote Sens. Envir. 21:143–183.

    Article  Google Scholar 

  • Sellers, P.J., Hall, F.G., Asrar, G., Strebel, D.E., and Murphy, R.E. (1988). The first ISLSCP field experiment (FIFE). Bull. Amer. Meteorol. Soc. 69:22–28.

    Article  Google Scholar 

  • Sellers, P.J., Mintz, Y., Sud, Y.C., and Dalcher, A. (1986). A simple biosphere model (SiB) for use with general circulation models. J. Atmos. Sci. 43:505–531.

    Article  Google Scholar 

  • Spanner, M.A., Peterson, D.L., Running, S.W., and Pierce, L. (1987). The relationship of AVHRR data to the leaf area index of western coniferous forests, pp. 358–360. In Space Life Sciences Symposium: Three Decades of Life Sciences Research in Space. Nat. Aeron. and Space Admin., Washington, DC, June 21–26.

    Google Scholar 

  • Spanner, M.A., Pierce, L.L., Peterson, D.L., and Running, S.W. (1989). Remote sensing of temperate coniferous forest leaf area index: The influence of canopy closure, understory vegetation and background reflectance. Int. J. Remote Sens. (in press)

    Google Scholar 

  • Tarpley, J.D., Schneider, S.R., and Money, R.L. (1984). Global vegetation indices from the NOAA-7 meteorological satellite. J. Clim. Appl. Meteorol. 23:491–494.

    Article  Google Scholar 

  • Tucker, C.J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Envir. 8:127–150.

    Article  Google Scholar 

  • Tucker, C.J., Townshend, J.R.G., and Goff, T.E. (1985). African land cover classification using satellite data. Science 227:369–374.

    Article  PubMed  CAS  Google Scholar 

  • Tucker, C.J., Vanpraet, C., Boerwinkle, E., and Gaston, A. (1984). Satellite remote sensing of total dry matter accumulation in the Senegalese Sahel. Remote Sens. Envir 13:461–474.

    Article  Google Scholar 

  • Waring, R.H., Whitehead, D., and Jarvis, P.G. (1980). Comparison of an isotopic method and the Penman-Monteith equation for estimating transpiration of Scots pine. Canad.J. Forest Res. 10:555–558.

    Article  Google Scholar 

  • Webb, W.L., Lauenroth, W.K., Szareck, S.R., and Kinerson, R.S. (1983). Primary production and abiotic controls in forests, grasslands, and desert ecosystems in the United States. Ecology 64:134–151.

    Article  Google Scholar 

  • Wessman, C.A., Aber, J.D., Peterson, D.L., and Melillo, J.M. (1988). Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature 335:154–156.

    Article  Google Scholar 

  • Wiegand, C.L., Richardson, A.J., and Kanemasu, E.T. (1979). Leaf area index estimates for wheat from Landsat and their implications for evapotranspiration and crop modeling. Agron. J. 71:336–342.

    Article  Google Scholar 

  • Wilson, M.F., Henderson-Sellers, A., and Dickinson, R.E. (1987). Sensitivity of Biosphere-Atmosphere-Transfer Scheme (BATS) to the inclusion of variable soil characteristics. J. Clim. Appl. Meteorol. 26:341–363.

    Article  Google Scholar 

  • Wofsy, S.C., Harriss, R.C., and Kaplan, W.A. (1988). Carbon dioxide in the atmosphere over the Amazon Basin. J. Geophys. Res. 93:1377–1388.

    Article  CAS  Google Scholar 

  • Woodwell, G.M., Hobbie, J.E., Houghton, R.A., Melillo, J.M., Moore, B., Peterson, B.J., and Shaver, G.R. (1983). Global deforestation: Contribution to atmospheric carbon dioxide. Science 222:1081–1086.

    Article  PubMed  CAS  Google Scholar 

  • Yates, H.W., Strong, A., McGinnis, D., and Tarpley, D. (1986). Terrestrial observations from NOAA operational satellites. Science 231:463–470.

    Article  PubMed  CAS  Google Scholar 

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Authors
  1. Steven W. Running
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Editors and Affiliations

  1. Division of Wildlife and Ecology, CSIRO, Midland, WA, 6056, Australia

    R. J. Hobbs

  2. Department of Biological Sciences, Stanford University, Stanford, CA, 94305-5020, USA

    Harold A. Mooney

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Running, S.W. (1990). Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation. In: Hobbs, R.J., Mooney, H.A. (eds) Remote Sensing of Biosphere Functioning. Ecological Studies, vol 79. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3302-2_4

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  • DOI: https://doi.org/10.1007/978-1-4612-3302-2_4

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  • Online ISBN: 978-1-4612-3302-2

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