Predicting yields of short-rotation hybrid poplar (Populus spp.) for the United States through model-data synthesis

Ecological Applications

Volumn 23, Issue 4, 2013, Pages 944-958

  Wang, Dan ^a   Le Bauer, David ^a   Dietze, Michael ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Bayesian meta analysis; Data assimilation; Ecosystem Demography model; Poplar plantation; Populus spp.; Predictive Ecosystem Analyzer; Sensitivity analysis; Short rotation forestry; Soil carbon; Variance decomposition

Indexed keywords

BIOMASS ALLOCATION; C4 PLANT; CARBON SEQUESTRATION; CELLULOSE; CROP PRODUCTION; CROP YIELD; DECIDUOUS TREE; DEMOGRAPHY; ETHANOL; FOREST MANAGEMENT; FORESTRY MODELING; FORESTRY PRACTICE; GRASS; HYBRID; LAND USE CHANGE; MAIZE; META-ANALYSIS; MORTALITY; PLANTATION FORESTRY; PREDICTION; RESPIRATION; SOIL CARBON; SUSTAINABILITY; TURNOVER;

ARTICLE; BIOLOGICAL MODEL; FORESTRY; GENETICS; GROWTH, DEVELOPMENT AND AGING; POPULUS; UNITED STATES;

FORESTRY; MODELS, BIOLOGICAL; POPULUS; UNITED STATES;

UNITED STATES;

CARYA ILLINOINENSIS; MISCANTHUS; POPULUS; ZEA MAYS;

EID: 84878573766     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/12-0854.1     Document Type: Article

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