DOI: 10.1016/j.foreco.2015.11.025
Scopus记录号: 2-s2.0-84947759148
论文题名: Regional validation and improved parameterization of the 3-PG model for Pinus taeda stands
作者: Gonzalez-Benecke C.A. ; Teskey R.O. ; Martin T.A. ; Jokela E.J. ; Fox T.R. ; Kane M.B. ; Noormets A.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 361 起始页码: 237
结束页码: 256
语种: 英语
英文关键词: Ecophysiology
; Forest modeling
; Loblolly pine
; Physiological process-based model
; Regional analysis
; Stand dynamics
Scopus关键词: Biomass
; Climate change
; Climate models
; Dynamics
; Ecology
; Estimation
; Frost effects
; Parameter estimation
; Parameterization
; Physiological models
; Physiology
; Regional planning
; Verification
; Ecophysiology
; Forest modeling
; Loblolly pine
; Physiological process
; Regional analysis
; Stand dynamics
; Forestry
; biomass
; climate change
; coniferous tree
; data set
; ecophysiology
; forest management
; long-term change
; management practice
; model validation
; parameterization
; physiological response
; resource allocation
; stand dynamics
; Uruguay
; Pinus taeda
英文摘要: The forest simulation model, 3-PG, has the capability to estimate the effects of climate, site and management practices on many stand attributes using easily available data. The model, once calibrated, has been widely applied as a useful tool for estimating growth of forest species in many countries. Currently, there is an increasing interest in estimating biomass and assessing the potential impact of climate change on loblolly pine (Pinus taeda L.), the most important commercial tree species in the southeastern U.S. This paper reports a new set of 3-PG parameter estimates for loblolly pine, and describe new methodologies to determine important estimates. Using data from the literature and long-term productivity studies, we parameterized 3-PG for loblolly pine stands, and developed new functions for estimating NPP allocation dynamics, biomass pools at variable starting ages, canopy cover dynamics, effects of frost on production, density-independent and density-dependent tree mortality and the fertility rating. The model was tested against data from replicated experimental measurement plots covering a wide range of stand characteristics, distributed across the southeastern U.S. and also beyond the natural range of the species, using stands in Uruguay, South America. We used the largest validation dataset for 3-PG, and the most geographically extensive within and beyond a species' native range. Comparison of modeled to measured data showed robust agreement across the natural range in the U.S., as well as in South America, where the species is grown as an exotic. Across all tested sites, estimations of survival, basal area, height, quadratic mean diameter, bole volume and above-ground biomass agreed well with measured values, with R2 values ranging between 0.71 for bole volume, and 0.95 for survival. The levels of bias were small and generally less than 13%. LAI estimations performed well, predicting monthly values within the range of observed LAI. The results provided strong evidence that 3-PG could be applied over a wide geographical range using one set of parameters for loblolly pine. The model can also be applied to estimate the impact of climate change on stands growing across a wide range of ages and stand characteristics. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65144
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Forest Engineering, Resources and Management, Oregon State University, 269 Peavy Hall, Corvallis, OR, United States; Warnell School of Forestry and Natural Resources, University of Georgia, 180 E. Green St., Athens, GA, United States; School of Forest Resources and Conservation, University of Florida, P.O. Box 110410, Gainesville, FL, United States; Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, 319 Cheatham Hall, Blacksburg, VA, United States; Department of Forestry and Environmental Resources, North Carolina State University, P.O. Box 8008, Raleigh, NC, United States
Recommended Citation:
Gonzalez-Benecke C.A.,Teskey R.O.,Martin T.A.,et al. Regional validation and improved parameterization of the 3-PG model for Pinus taeda stands[J]. Forest Ecology and Management,2016-01-01,361