DOI: 10.1016/j.foreco.2012.10.039
Scopus记录号: 2-s2.0-84878115595
论文题名: Modifying the G'DAY process-based model to simulate the spatial variability of Eucalyptus plantation growth on deep tropical soils
作者: Marsden C. ; Nouvellon Y. ; Laclau J.-P. ; Corbeels M. ; McMurtrie R.E. ; Stape J.L. ; Epron D. ; le Maire G.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 301 起始页码: 112
结束页码: 128
语种: 英语
英文关键词: Brazil
; Ecophysiological model
; Eucalypt
; G'DAY
; Plant available water
; Water-limited growth
Scopus关键词: Available water
; Brazil
; Eucalypt
; Eucalyptus plantations
; G'DAY
; Management practices
; Nutrient availability
; Process-based models
; Atmospheric radiation
; Biomass
; Digital storage
; Ecology
; Forestry
; Industry
; Productivity
; Rain
; Soil moisture
; Geologic models
; adaptation
; carbon
; data set
; ecological modeling
; ecophysiology
; evergreen tree
; forest inventory
; growth rate
; height
; leaf area index
; management practice
; nitrogen
; numerical model
; nutrient availability
; satellite data
; soil water
; spatial variation
; stand structure
; temporal variation
; tree planting
; tropical soil
; water availability
; Biomass
; Brazil
; Ecology
; Eucalyptus
; Moisture
; Physiology
; Productivity
; Radiation
; Eucalyptus
; Eucalyptus grandis
英文摘要: Large differences in productivity have been observed between neighboring Eucalyptus plantations in Brazil, that cannot be explained by climate and are unlikely to be due solely to altered management practices. Current ecophysiological models used by forestry companies to simulate stand development in large plantation zones rely on empirical site fertility indices (representing water and nutrient availability) to capture this spatial variability in growth rates. We propose a model that requires no empirical assessment of site fertility to simulate stand growth over entire rotations. We applied a modified version of the G'DAY model of carbon, nitrogen and water cycling at a daily time step to short-rotation plantations located in São Paulo State, including a simple mechanistic description of the effect of water availability on growth. The progressive and rapid root exploration of deep soil layers was modeled in a simple way, by considering that maximum plant available water increased with mean tree height. The model was parameterized using detailed measurements made over the entire rotation of an experimental stand of Eucalyptus grandis, and was subsequently applied to 16 clonal stands managed in a similar way by one company, but with different planting dates and contrasting productivity levels. Stem biomass simulations, driven by daily weather data (maximum and minimum air temperatures, global radiation and rainfall), were strongly correlated with company inventory estimates of stem biomass carried out at different ages. The temporal variation of leaf area index was also adequately simulated, as was shown by comparison with leaf area index derived from satellite data. The model was able to capture more than 95% of the variability of standing stem biomass and more than 85% of the variability of stem growth measured on these stands, provided spatial differences in soil water holding capacity were taken into account. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66589
Appears in Collections: 影响、适应和脆弱性
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作者单位: Montpellier SupAgro, UMR Eco and Sols, Bât 12, 2 Place Pierre Viala, 34060 Montpellier cedex 2, France; CIRAD, UMR Eco and Sols, Bât 12, 2 Place Pierre Viala, 34060 Montpellier cedex 2, France; Departamento de Ciências Atmosféricas, IAG, Universidade de São Paulo, 1226 Cidade Universitária, Rua do Matão, São Paulo, SP, CEP 05508-900, Brazil; Universidade de São Paulo ESALQ, 11 Av. Pádua Dias, Piracicaba, SP 13418-900, Brazil; CIRAD, UR Systèmes de Culture Annuels, 34398 Montpellier, France; School of Biological, Earth and Environmental Sciences, The University of New South Wales, NSW 2052, Australia; Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, United States; Université de Lorraine, UMR 1137, Ecologie et Ecophysiologie Forestières, 54280 Champenoux, France
Recommended Citation:
Marsden C.,Nouvellon Y.,Laclau J.-P.,et al. Modifying the G'DAY process-based model to simulate the spatial variability of Eucalyptus plantation growth on deep tropical soils[J]. Forest Ecology and Management,2013-01-01,301