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Process-Based Modeling to Assess the Effects of Recent Climatic Variation on Site Productivity and Forest Function across Western North America Public Deposited

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https://ir.library.oregonstate.edu/concern/articles/gq67js885

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  • A process-based forest growth model, 3-PG (Physiological Principles Predicting Growth), parameterized with values of soil properties constrained by satellite-derived estimates of maximum leaf area index (LAI[subscript max]), was run for Douglas-fir (Pseudotsuga menziesii) to contrast the extent to which site growth potential might vary across western North America between a cool, wet period (1950–1975) and a more recent, generally warmer and drier one (2000–2009). LAI[subscript max] represents a surrogate for overall site growth potential, as demonstrated from a strong correlation between the two variables, with the latter based on the culmination of mean annual increment estimates made at 3356 ground-based U.S. Forest Service survey plots across the states of Oregon and Washington. Results indicate that since 2000, predicted LAI[subscript max] has decreased more than 20% in portions of the Southwest USA and for much of the forested area in western Alberta. Similar percentage increases in LAI[subscript max] were predicted for parts of British Columbia, Idaho and Montana. The modeling analysis included an assessment of changes in seasonal constraints on gross primary production (GPP). A general reduction in limitations caused by spring frost occurred across the entire study area. This has led to a longer growing season, along with notable increases in summer evaporative demand and soil drought for much of the study area away from the maritime influence of the Pacific Ocean.
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  • Waring RH, Coops NC, Mathys A, Hilker T, Latta G. (2014). Process-Based Modeling to Assess the Effects of Recent Climatic Variation on Site Productivity and Forest Function across Western North America. Forests, 5(3):518-534. doi:10.3390/f5030518
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  • This work was supported by NASA grant NNX11A029G from the program for Biodiversity and Ecological Forecasting.
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  • description.provenance : Approved for entry into archive by Erin Clark(erin.clark@oregonstate.edu) on 2014-06-30T14:56:18Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) WaringRichardForestryProcess-BasedModeling.pdf: 2289949 bytes, checksum: 4c28d8752c53292870b2c2b21a440227 (MD5)
  • description.provenance : Submitted by Erin Clark (erin.clark@oregonstate.edu) on 2014-06-30T14:55:59Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) WaringRichardForestryProcess-BasedModeling.pdf: 2289949 bytes, checksum: 4c28d8752c53292870b2c2b21a440227 (MD5)
  • description.provenance : Made available in DSpace on 2014-06-30T14:56:18Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) WaringRichardForestryProcess-BasedModeling.pdf: 2289949 bytes, checksum: 4c28d8752c53292870b2c2b21a440227 (MD5) Previous issue date: 2014-03-24

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