Comparison of MODIS gross primary production estimates for forests across the U.S.A. with those generated by a simple process model, 3-PGS

Remote Sensing of Environment

Volumn 109, Issue 4, 2007, Pages 500-509

  Nightingale, J M ^a   Coops, N C ^b   Waring, R H ^a   Hargrove, W W ^c  

^a OREGON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

3 PGS; Available soil water capacity; Gross primary production; MODIS GPP; U.S.A. forests

Indexed keywords

ALGORITHMS; FORESTRY; PHOTOSYNTHESIS; VAPOR PRESSURE;

AVAILABLE SOIL WATER CAPACITY; GROSS PRIMARY PRODUCTION (GPP); MODERATE RESOLUTION IMAGING SPECTRO RADIOMETERS (MODIS);

RADIOMETERS;

COMPARATIVE STUDY; ESTIMATION METHOD; FOREST; LIGHT USE EFFICIENCY; MODIS; PRIMARY PRODUCTION; SATELLITE DATA; SOIL FERTILITY; SOIL WATER POTENTIAL;

ALGORITHMS; FORESTRY; PHOTOSYNTHESIS; VAPOR PRESSURE;

NORTH AMERICA; UNITED STATES;

EID: 34347225138     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.02.004     Document Type: Article

References (48)

1. Baldocchi D., Falge E., Gu L., Olson R., Hollinger D., Running S., et al. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor and energy flux densities. Bulletin of the American Meteorological Society 82 (2001) 2415-2435
2. Bauerle W.L., Hinckley T.M., Cermak J., and Kucera J. The canopy water relations of old-growth Douglas-fir trees. Trees 13 (1999) 211-217
3. Bond B.J., Farnsworth B.T., Coulombe R.A., and Winner W.E. Foliage physiology and biochemistry in response to light gradients in conifers with varying shade tolerance. Oecologia 120 (1999) 183-192
4. CEC. Ecological regions of North America: Toward a common perspective (1997), Commission for Environmental Cooperation
5. Cohen W.B., Maiersperger T.K., Yang Z., Gower S.T., Turner D.P., Ritts W.D., et al. Comparison of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: A quality assessment of 2000/2001 provisional MODIS products. Remote Sensing of Environment 88 (2003) 233-255
6. Coops N., Waring R.H., and Landsberg J.J. Estimation of potential forest productivity across the Oregon transect using satellite data and monthly weather records. International Journal of Remote Sensing 22 (2001) 3797-3812
7. Coops N.C., and Waring R.H. Estimating forest productivity in the eastern Siskiyou Mountains of southwestern Oregon using a satellite driven process model, 3-PGS. Canadian Journal of Forest Research 31 (2001) 143-154
8. Coops N.C., Waring R.H., Brown S.R., and Running S.W. Comparisons of predictions of net primary production and seasonal patterns in water use derived with two forest growth models in Southwestern Oregon. Ecological Modelling 142 (2001) 61-81
9. Coops N.C., and Waring R.H. The use of multi-scale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS. Remote Sensing of Environment 75 (2001) 324-334
10. Coops N.C., Waring R.H., and Landsberg J.J. Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite-derived estimates of canopy photosynthetic capacity. Forest Ecology and Management 104 (1998) 113-127
11. Coops N.C., Waring R.H., and Law B.E. Predicting the influence of climate variability on the productivity and distribution of Ponderosa Pine Ecosystems in the Pacific Northwest. Ecological Modelling 183 (2005) 107-124
12. Coppin P., Jonckheere I., Nackaerts K., and Muys B. Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing 25 (2004) 1565-1596
13. Daly C., Gibson W.P., Doggett M., Smith J., and Taylor G. Up-to-date monthly climate maps for the conterminous United States. 14th AMS Conference on Applied Climatology (2004), American Meteorological Society, Seattle, Washington
14. De Pury D.G.G., and Farquhar G.D. Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models. Plant, Cell and Environment 20 (1997) 537-557
15. Gebremichael M., and Barros A.P. Evaluation of MODIS Gross Primary Productivity (GPP) in tropical monsoon regions. Remote Sensing of Environment 100 (2006) 150-166
16. Hall R.J., Raulier F., Price D.T., Arsenault E., Bernier P.Y., Case B.S., et al. Integrating remote sensing and climate data with process-based models to map forest productivity within west-central Alberta's boreal forest: Ecoleap-West. Forestry Chronicle 82 (2006) 159-178
17. Hargrove W.W., and Hoffman F.M. The potential of multivariate quantitative methods for delineation and visualization of ecoregions. Environmental Management 34 (2004) S39-S660
18. Heinsch F.A., Reeves M., Votava P., Kang S., Milesi C., Zhao M., et al. Users Guide: GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm (2003), University of Montana, Missoula 57
19. Heinsch F.A., Zhao M., Running S., Kimball J.S., Nemani R.R., Davis K.J., et al. Evaluation of remote sensing based terrestrial productivity from MODIS using regional Tower Eddy flux network observations. IEEE TGRS 44 (2006) 1908-1925
20. Hubbert K.R., Beyers J.L., and Graham R.C. Roles of weathered bedrock and soil in seasonal water relations of Pinus jeffreyi and Arctostaphylos patula. Canadian Journal of Forest Research 31 (2001) 1947-1957
21. Jackson R., Sperry J., and Dawson T. Root water uptake and transport: Using physiological processes in global predictions. Trends in Plant Science 5 (2000) 482-488
22. Landsberg J.J., and Coops N.C. Modeling forest productivity across large areas and long periods. Natural Resource Modeling 12 (1999) 383-411
23. Landsberg J.J., Johnsen K.H., Albaugh T.K., Allen A.L., and McKeand S.E. Applying 3-PG, a simple process-based model designed to produce practical results, to data from Loblolly pine experiments. Forest Science 47 (2000) 43-51
24. Landsberg J.J., and Waring R.H. A generalized model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management 95 (1997) 209-228
25. Law B.E., Falge E., Gu L., Baldocchi D., Bakwin P., Berbigier P., et al. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agricultural and Forest Meteorology 113 (2002) 97-120
26. Law B.E., Waring R.H., Anthoni P.M., and Aber J.D. Measurements of gross and net ecosystem productivity and water vapor exchange of a Pinus ponderosa ecosystem, and an evaluation of two generalized models. Global Change Biology 6 (2000) 155-168
27. McMurtrie R.E., Rook D.A., and Kelliher F.M. Modeling the yield of Pinus radiata on a site limited by water and nutrition. Forest Ecology and Management 30 (1990) 381-413
28. Morisette J.T., Privette J.L., and Justice J.O. A framework for the validation of MODIS land products. Remote Sensing of Environment 83 (2002) 77-96
29. Ollinger S.V., Aber J.D., and Federer A. Estimating regional forest productivity and water yield using an ecosystem model linked to a GIS. Landscape Ecology 23 (1998) 323-334
30. Peng C.H., Liu J.X., Dang Q.L., Apps M.J., and Jiang H. TRIPLEX: A generic hybrid model for predicting forest growth and carbon and nitrogen dynamics. Ecological Modelling 153 (2002) 109-130
31. Perakis S.S., Maquire D.A., Bullen T.D., Cromack K., Waring R.H., and Boyle J.R. Coupled nitrogen and calcium cycles in forests of the Oregon Coast Range. Ecosystems 9 (2006) 63-74
32. Royce E.B., and Barbour M.G. Mediterranean climate effects. I. Conifer water use across a Sierra Nevada Ecotone. American Journal of Botany 88 (2001) 911-918
33. Running S. Testing Forest-BGC ecosystem process simulations across a climate gradient in Oregon. Ecological Applications 4 (1994) 238-247
34. Running S.W. Testing forest-BGC ecosystem process simulations across a climate gradient in Oregon. Ecological Applications 4 (1994) 238-247
35. Running S., Nemani R.R., Heinsch F.A., Zhao M., Reeves M., and Hashimoto H. A continuous satellite-derived measure of Global terrestrial primary production. Bioscience 54 (2004) 547-560
36. Running S.W., Baldocchi D., Turner D.P., Gower S.T., Bakwin P., and Hibbard K.A. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment 70 (1999) 108-128
37. Running S.W., and Coughlan J.C. A general model of forest ecosystem processes for regional applications. I. Hydrologic balance, canopy gas exchange and primary production processes. Ecological Modelling 42 (1988) 125-154
38. Schubert S., Rood R., and Others A. An assimilated dataset for earth science applications. Bulletin of the American Meteorological Society 74 (1993) 2331-2342
39. Swenson J., Waring R.H., Fan W., and Coops N.C. Predicting site index with a physiologically-based growth model across Oregon, USA. Canadian Journal of Forest Research 35 (2005) 1697-1707
40. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Running S.W., Zhao M., et al. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment 102 (2006) 282-292
41. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Zhao M., Running S., et al. Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment 88 (2003) 256-270
42. Turner D.P., and Urbanski S. A cross-biome comparison of daily light-use efficiency for gross primary production. Global Change Biology 9 (2003) 383-395
43. Valentini R., Baldocchi D.D., and Tenhunen J.D. Ecological controls on land-surface atmospheric interactions. In: Tenhunen J.D., and Kabat P. (Eds). Integrating Hydrology, Ecosystem Dynamics, and Biogeochemistry in Complex Landscapes (1999), John Wiley & Sons Ltd., London 117-145
44. Wallin D.O., Harmon M.E., Cohen W.B., Fiorella M., and Ferrell W.K. Use of remote sensing to model land use effects on carbon flux in forests of the Pacific North West, USA. In: Gholz H.L., Nakane K., and Shimoda H. (Eds). The Use of Remote Sensing in the Modeling of Forest Productivity (1997), Kluwer Academic Publishers, London 219-237
45. Waring R.H., and Cleary B.D. Plant moisture stress: Evaluation by pressure bomb. Science 155 (1967) 1248-1254
46. Waring R.H., Landsberg J.J., and Williams M. Net primary production of forests: A constant fraction of gross primary production?. Tree Physiology 18 (1998)
47. Waring R.H., Law B.E., Goulden M.L., Bassow S.L., Mc Creight R.W., Wofsy S.C., et al. Scaling ecosystem production at Harvard Forest with remote sensing: A comparison of estimates from a constrained quantum-use efficiency model and eddy correlation. Plant, Cell and Environment 18 (1995) 1201-1213
48. Zhao M., Heinsch F.A., Nemani R.R., and Running S.W. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment 95 (2005) 164-176