DOI: 10.1016/j.foreco.2016.02.030
Scopus记录号: 2-s2.0-84959338798
论文题名: Predicting productivity of Acacia hybrid plantations for a range of climates and soils in Vietnam
作者: Hung T.T. ; Almeida A.C. ; Eyles A. ; Mohammed C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 367 起始页码: 97
结束页码: 111
语种: 英语
英文关键词: Acacia hybrid production
; Growth limitations
; Process-based model
; Sensitivity analysis
; Variable productivity
Scopus关键词: Carbon
; Climatology
; Forecasting
; Organic carbon
; Plants (botany)
; Productivity
; Sensitivity analysis
; Soil moisture
; Soils
; Timber
; Growth limitations
; Hybrid production
; Permanent sample plots
; Plantation forestry
; Potential productivity
; Process-based modeling
; Tropical environments
; Wet and dry seasons
; Climate models
; climate effect
; coastal zone
; forest management
; growth modeling
; legume
; model validation
; organic carbon
; plantation forestry
; productivity
; soil fertility
; soil organic matter
; soil water
; stand structure
; Viet Nam
; Acacia
; Acacia auriculiformis
; Acacia mangium
英文摘要: Acacia hybrid (A. auriculiformis × A. mangium) has rapidly become the most widely planted species in Vietnam for the production of pulpwood and sawlogs. As it is adapted to the very wide range of site and soil conditions that prevail throughout the country, providing an ability to predict accurately its productivity is an essential part of optimising product value and income to growers. In this study, we calibrated the 3-PG growth model using ten permanent sample plots located in stands aged 1, 3 and 6 yr. The model was then validated using 55 additional permanent plots from 12 plantations growing in four regions that support plantation forestry. The model performed well for most of the validation sites; model efficiencies (EF) were ≥0.76. The model was more accurate in predicting the productivity of plantations in the North and North Central Coast than in the South and South Central Coast regions. Growth was most affected by soil water deficit in this wet/dry tropical environment, than by temperature, particularly in the North. Soil fertility was best predicted by a relationship with soil organic carbon and the base cations Ca++ and K+. Across regions, the mean current monthly increment of stand volume for a 15-yr rotation was 3.21 and 1.97 m3 ha-1 month-1 for the wet and dry seasons, respectively. Sensitivity analysis indicated how much the model parameters affect the main outputs and how this changes with stand age. Overall, the model provided an accurate description of the potential productivity of Acacia hybrid plantations across a wide range of climates and soils in Vietnam. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64999
Appears in Collections: 影响、适应和脆弱性
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作者单位: Tasmanian Institute of Agriculture (TIA) and School of Land and Food, Private Bag 98, Hobart, TAS, Australia; Silviculture Research Institute, Vietnamese Academy of Forest Sciences, 46 Duc Thang, Bac Tu Liem Hanoi, Viet Nam; CSIRO Land and Water, Private Bag 12, Hobart, TAS, Australia
Recommended Citation:
Hung T.T.,Almeida A.C.,Eyles A.,et al. Predicting productivity of Acacia hybrid plantations for a range of climates and soils in Vietnam[J]. Forest Ecology and Management,2016-01-01,367