Linking Growth and Yield and Process Models to Estimate Impact of Environmental Changes on Growth of Loblolly Pine
Abstract:PTAEDA2 is a distance-dependent, individual tree model that simulates the growth and yield of a plantation of loblolly pine (Pinus taeda L.) on an annual basis. The MAESTRO model utilizes an array of trees in a stand to calculate and integrate the effects of biological and physical variables on the photosynthesis and respiration processes of a target tree on an hourly basis. PTAEDA2 sums the quantities for individual trees to obtain stand results; MAESTRO computes values for one tree at a time. These models were linked to provide a tool for further understanding stand, climatic, and edaphic effects on tree and forest productivity. PTAEDA2 predicts the characteristics of trees grown at a given stand density, on a given site, for a given length of time. These characteristics (outputs) are then used as direct inputs into MAESTRO which assesses the expected impact of environmental changes on tree function. The results from MAESTRO are fed back into PTAEDA2 to update future predictions by modifying the site index driver variable of the growth and yield model. An equation that predicts changes in site index as a function of net photosynthesis, age, and trees per unit area is the backbone of the dynamic linkage. The model changes required to link PTAEDA2 to MAESTRO were developed and reported earlier. This article reviews the earlier work and reports research results quantifying the relationships between net photosynthesis and the PTAEDA2 growth predictors, thus providing the basis for the MAESTRO to PTAEDA2 feedback process and integration of these two models. FOR. Sci. 47(1)77–82.
Keywords: Pinus taeda; climate change; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; forests; natural resource management; natural resources
Document Type: Miscellaneous
Affiliations: 1: Supervisory Research Forester USDA Forest Service, Southern Research Station, 200 Weaver Blvd., Asheville, NC, 28802, Phone: (828) 259-0586; Fax: (828) 257-4894 firstname.lastname@example.org 2: University Distinguished Professor and Head Department of Forestry, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, Phone: (540) 231-5483; Fax: (540) 213-3698 email@example.com 3: Graduate Research Assistant Department of Forestry, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, Phone: (540) 231-6958 firstname.lastname@example.org 4: Computer Specialist USDA Forest Service, Southern Research Station, 2500 Shreveport Highway, Pineville, LA, 71360, Phone: (318) 473-7233; Fax: (318) 473-7273 email@example.com
Publication date: 2001-02-01
- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
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