Prediction of soil properties using a process-based forest growth model to match satellite-derived estimates of leaf area index

Remote Sensing of Environment

Volumn 126, Issue , 2012, Pages 160-173

  Coops, Nicholas C ^a   Waring, Richard H ^b   Hilker, Thomas ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b OREGON STATE UNIVERSITY   (United States)

Author keywords

3 PG forest growth model; Climate driven models; Ecoregions; Fertility index; MODIS leaf area index; Remote sensing; Soil water holding capacity

Indexed keywords

ECOREGIONS; FERTILITY INDICES; FOREST GROWTH MODEL; LEAF AREA INDEX; SOIL WATER HOLDINGS;

DIGITAL STORAGE; ESTIMATION; FORESTRY; OPTICAL RADAR; PRODUCTIVITY; RADIOMETERS; REMOTE SENSING; SOIL MOISTURE;

CLIMATE MODELS;

CONIFEROUS TREE; DATABASE; FOREST ECOSYSTEM; FORESTRY PRODUCTION; GROWTH MODELING; LEAF AREA INDEX; LIDAR; NONLINEARITY; POPULATION DISTRIBUTION; PREDICTION; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SOIL FERTILITY; SOIL PROPERTY; SOIL WATER; VEGETATION STRUCTURE;

ECOLOGY; FERTILITY; PRODUCTIVITY; RADAR; RADIOMETRY; REMOTE SENSING; SOIL; WATER RESISTANCE;

NORTH AMERICA;

PSEUDOTSUGA; PSEUDOTSUGA MENZIESII;

EID: 84865853534     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.08.024     Document Type: Article

References (77)

1. Almeida A.C., Landsberg J.J., Sands P.J. Parameterisation of 3-PG model for fast-growing Eucalyptus grandis plantations. Forest Ecology and Management 2004, 193:179-195.
2. Almeida A., Sands P.J., Bruce J., Siggins A.W., Leriche A.J., Battaglia M., et al. Use of a spatial process-based model to quantify forest plantation productivity and water use efficiency under climate change scenarios. 18th World IMACS/MODSIM Congress, Cairns, Australia 2009, (http://mssanz.org.au/modsim09).
3. Axelsson E., Axelson B. Changes in carbon allocation patterns in spruce and pine trees following irrigation and fertilization. Tree Physiology 1986, 2:189-204.
4. Batjes N.H. Soil organic carbon stocks under native vegetation - Revised estimates for use with the simple assessment option of the Carbon Benefits Project system. Agricultural, Ecosystems & Environment 2011, 142:365-373.
5. Bristow K.L., Campbell G.S. On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology 1984, 31:156-166.
6. Canary J.D., Harrison R.B., Compton J.E., Chappell H.N. Additional carbon sequestration following repeated urea fertilization of second-growth Douglas-fir stands in western Washington. Forest Ecology and Management 2000, 138:225-232.
7. Cohen W.B. Comparisons 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 2003, 88:233-255.
8. Cohen W.B., Spies T.A., Alig R.J., Oetter D.R., Maiersperger T.K., Fiorella M. Characterizing 23years (1972-95) of stand replacement disturbance in western Oregon forests with Landsat imagery. Ecosystems 2002, 5:122-137.
9. Coleman T.F., Li Y.Y. An interior trust region approach for nonlinear minimization subject to bounds. SIAM Journal on Optimization 1996, 6:418-445.
10. Coleman T.F., Liu J.G., Yuan W. A new trust-region algorithm for equality constrained optimization. Computational Optimization and Applications 2002, 21:177-199.
11. 2-fixing red alder. Ecosystems 2003, 6:773-785.
12. Coops N.C., Waring R.H. Estimating maximum potential site productivity and site water stress of the eastern Siskiyous using 3-PGS. Canadian Journal of Forest Research 2001, 31:143-154.
13. Coops N.C., Waring R.H., 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 1998, 104:113-127.
14. Coops N.C., Waring R.H., Law B.E. Assessing the past and future distribution and productivity of ponderosa pine in the Pacific Northwest using a process model, 3-PG. Ecological Modelling 2005, 183:107-124.
15. Coops N.C., Waring R.H., Moncrieff J.B. Estimating mean monthly incident solar radiation on horizontal and inclined slopes from mean monthly temperature extremes. International Journal of Biometeorology 2000, 44:204-211.
16. Dahlgren R.A. Soil acidification and nitrogen saturation from weathering of ammonium-bearing rock. Nature 1994, 368:838-841.
17. Franklin J.F., Dyrness C.T. Natural vegetation of Oregon and Washington 1973, Oregon State University Press, Oregon, USA.
18. Gao X., Huete A.R., Ni W., Miura T. Optical-biophysical relationships of vegetation spectra without background contamination. Remote Sensing of Environment 2000, 74:609-620.
19. Goetz S.J., Fiske G.J., Bunn A.G. Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada. Remote Sensing of Environment 2006, 101:262-366.
20. Gu Y., Belair S., Mahfouf J., Deblonde G. Optimal interpolation analysis of leaf area index using MODIS data. Remote Sensing of Environment 2006, 104:283-296.
21. Hadley J.L. Effect of daily minimum temperature on photosynthesis in eastern hemlock Tsuga canadensis L. in autumn and winter. Arctic, Antarctic, and Alpine Research 2000, 32:368-374.
22. Hamann A., Wang T. Models of climate normal for genecology and climate change studies in British Columbia. Agricultural and Forest Meteorology 2005, 128:211-221.
23. Hember R.A., Coops N.C., Black T.A., Guy R.D. Simulating gross primary production across a chronosequence of coastal Douglas-fir stands with a production efficiency model. Agricultural and Forest Meteorology 2010, 150:238-253.
24. Hermann R.K., Lavender D. Pseudotsuga menziesii (Mirb.) Franco Douglas-fir. In Silvics of North America Vol. 1, Conifers. 1990, USDA Forest Service (Publ.), pp. 527-540.
25. Hungerford R.D., Nemani R.R., Running S.W., Coughlan J.C. MT-CLIM. A mountain microclimate simulation model. USDA Forest Service Research Paper INT-414, Ogden, Utah 1989.
26. 2, nitrogen depositin, increased temperature and management on carbon sequestration in temperate and boreal forest ecosystems: A literature review. New Phytologist 2007, 173:463-480.
27. Ingestad T. Relative addition rate and external concentration; driving variables used in plant nutrition research. Plant, Cell & Environment 1982, 5:443-453.
28. Jackson R.B., Sperry J.S., Dawson T.E. Root water uptake and transport: Using physiological processes in global predictions. Proceedings of the National Academy of Science 2000, 5:482-488.
29. Jönsson P., Eklundh L. TIMESAT-A program for analyzing time-series of satellite sensor data. Computers & Geosciences 2004, 30:833-845.
30. Kimball J.S., Running S.W., Nemani R. An improved method for estimating surface humidity from daily minimum temperature. Agricultural and Forest Meteorology 1997, 85:87-98.
31. Knyazikhin Y., Martonchik J.V., Myneni R.B., Diner D.J., Running S.W. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. Journal of Geophysical Research 1998, 103(D24):32257-32275.
32. Landsberg J.J., Coops N.C. Modelling forest productivity across large areas and long periods. Natural Resource Modelling 1999, 12:1-28.
33. Landsberg J., Sands P. Physiological ecology of forest production 2010, 352. Elsevier.
34. Landsberg J.J., Waring R.H. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management 1997, 95:209-228.
35. Landsberg J.J., Waring R.H., Coops N.C. Performance of the forest productivity model 3-PG applied to a wide range of forest types. Forest Ecology and Management 2003, 172:199-214.
36. Lathrop R.G., Aber J.D., Bognar J.A. Spatial variability of digital soil maps and its impact on regional ecosystem modeling. Ecological Modelling 1995, 82:1-10.
37. Latta G., Temesgen H., Adams D., Barrett T. Analysis of potential impacts of climate change on forests of the United States Pacific Northwest. Forest Ecology and Management 2010, 259:720-729.
38. Lefsky M.A. A global forest canopy height map from the moderate resolution imaging spectrometer and the geoscience laser altimeter system. Geophysical Research Letters 2010, 37:L15401.
39. Lefsky M.A., Cohen W.B., Parker G.G., Harding D.J. Lidar remote sensing for ecosystem studies. BioScience 2002, 52:19-30.
40. Little E.L.Jr Atlas of United States trees, conifers and important hardwoods: Volume 1. United States Department of Agriculture. Miscellaneous Publication 1971, 1146.
41. Mäkelä A., Landsberg J., Alan R., Ek A.R., Burk T.E., Ter-Mikaelian M., et al. Process-based models for forest ecosystem management: Current state of the art and challenges for practical implementation. Tree Physiology 2000, 20:289-298.
42. McLaughlin S.P. Floristic analysis of the southwestern United States. Western North American Naturalist 1986, 46:46-65.
43. Mulder V.L., de Bruin S., Schaepman M.E., Mayr T.R. The use of remote sensing in soil and terrain mapping - A review. Geoderma 2011, 162:1-19.
44. Myneni R.B., Hoffman S., Knyazikhin Y., Privette J.L., Glassy J., Tian Y., et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment 2002, 83:214-231.
45. Nightingale J.M., Fan W., Coops N.C., Waring R.H. Predicting tree diversity across the U.S.A. as a function of modeled gross primary production. Ecological Applications 2008, 18:93-103.
46. Nightingale J.M., Phinn S.R., Held A.A. Ecosystem process models at multiple scales for mapping tropical forest productivity. Progress in Physical Geography 2004, 28:241-269.
47. 2-enriched atmosphere. Nature 2001, 411:469-472.
48. Peng C., Liu J., Dang Q., Apps M.J., Jiang H. TRIPLEX: A generic hybrid model for predicting forest growth and carbon and nitrogen dynamics. Ecological Modelling 2002, 153:109-130.
49. Peterman W., Waring R.H., Seager T., Pollock W.L. Soil properties affect pinyon pine-juniper response to drought. Ecohydrology 2012, (published on line). 10.1002/eco.1284.
50. Plaut J.A., Yepez E.A., Hill J., Pangle R., Sperry J.S., Pockman W., et al. Hydraulic limits preceding mortality in a piñon pine-juniper woodland under experimental drought. Plant, Cell & Environment 2012, (published on line). 10.1111/j.1365-3040.2012.02512.x.
51. Running S.W., Waring R.H., Rydell R.A. Physiological control of water flux in conifers: A computer simulation model. Oecologia 1975, 18:1-16.
52. Runyon J., Waring R.H., Goward S.N., Welles J.W. Environmental limits on net primary production and light-use efficiency across the Oregon transect. Ecological Applications 1994, 4:226-237.
53. Ryan M.G., Hubbard R.M., Pongracic S., Raison R.J., McMurtrie R.E. Foliage, fine-root, woody-tissue and stand respiration in Pinus radiata in relation to nitrogen status. Tree Physiology 1996, 16:333-344.
54. Schulman E. Longevity under adversity in conifers. Science 1954, 119:396-399.
55. Stape J.L., Ryan M.G., Binkley D. Testing the utility of the 3-PG model for growth of Eucalyptus grandis×urophylla with natural and manipulated supplies of water and nutrients. Forest Ecology and Management 2004, 193:219-234.
56. Swenson J.J., Waring R.H., Fan W., Coops N. Predicting site index with a physiologically based growth model across Oregon, USA. Canadian Journal of Forest Research 2005, 35:1697-1707.
57. Talhelm A.F., Pregitzer K.S., Burton A.J., Zak D.R. Air pollution and changing biogeochemistry of northern forests. Frontiers in Ecology and the Environment 2012, 10:181-185.
58. Tollefson J. Satellites beam in biomass. Nature 2009, 462:834-835.
59. Tucker C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 1979, 8:127-150.
60. Verstraete M.M., Pinty B., Myneni R.B. Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing. Remote Sensing of Environment 1996, 58:201-214.
61. Waring R.H. Estimating forest growth and efficiency in relation to canopy leaf area. Advances in Ecological Research 1983, 13:326-354.
62. Waring R.H. A process model analysis of environmental limitations on growth of Sitka spruce plantations in Great Britain. Forestry 2000, 73:65-79.
63. Waring R.H., Cleary B.D. Plant moisture stress: Evaluation by pressure bomb. Science 1967, 155:1248-1254.
64. Waring R.H., Coops N.C., Fan W., Nightingale J.M. MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous U.S.A. Remote Sensing of Environment 2006, 103:218-226.
65. Waring R.H., Franklin J.F. Evergreen coniferous forests of the Pacific Northwest. Science 1979, 204:1380-1386.
66. Waring R.H., Major J. Some vegetation of the California coastal redwood region in relation to gradients of moisture, nutrients, light, and temperature. Ecological Monographs 1964, 34:167-215.
67. Waring R.H., McDowell N. Use of a physiological process model with forestry yield tables to set limits on annual carbon balances. Tree Physiology 2002, 22:179-188.
68. Waring R.H., Milner K.S., Jolly W.M., Phillips L., McWethy D. A basis for predicting site index and maximum growth potential across the Pacific and Inland Northwest U.S.A. with a MODIS satellite-derived vegetation index. Forest Ecology and Management 2005, 228:285-291.
69. Waring R., Nordmeyer A., Whitehead D., Hunt J., Newton M., Thomas C., et al. Why is the productivity of Douglas-fir higher in New Zealand than in the Pacific Northwest, USA?. Forest Ecology and Management 2008, 255:4040-4046.
70. Waring R.H., Youngberg C.T. Evaluating forest sites for potential growth response of trees to fertilizer. Northwest Science 1972, 46:67-75.
71. Weiss M., Baret F., Garrigues S., Lacaze R. LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: Validation and comparison with MODIS collection 4 products. Remote Sensing of Environment 2007, 110:317-331.
72. Whittaker R.H. Vegetation history of the Pacific Coast States and the "central" significance of the Klamath region. Madrono 1961, 16:5-23.
73. Yuan H., Dai Y., Xiao Z., Ji D., Shangguan W. Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling. Remote Sensing of Environment 2011, 115:1171-1187.
74. Zhang X., Friedl M.A., Schaaf C.B., Strahler A.H., Hodges J.C.F., Gao F., et al. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment 2003, 84:471-475.
75. Zheng D., Hunt E.R., Running S.W. Comparison of available soil water capacity estimated from topography and soil series information. Landscape Ecology 1996, 11:3-14.
76. Zheng G., Moskal M. Retrieving Leaf Area Index (LAI) using remote sensing: Theories, methods and sensors. Sensors 2009, 9:2719-2745. 10.3390/s90402719.
77. Zinke P.J., Strangenberger A.G. Elemental storage in forest soils for local to global scales. Forest Ecology and Management 2000, 138:159-165.