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LANDIS PRO: a landscape model that predicts forest composition and structure changes at regional scalesAuthor(s): Wen J. Wang; Hong S. He; Jacob S. Fraser; Frank R. Thompson; Stephen R. Shifley; Martin A. Spetich
Source: Ecography. 37: 001-005.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
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DescriptionLANDIS PRO predicts forest composition and structure changes incorporating species-, stand-, and landscape-scales processes at regional scales. Species-scale processes include tree growth, establishment, and mortality. Stand-scale processes contain density- and size-related resource competition that regulates self-thinning and seedling establishment. Landscapescale processes include seed dispersal and disturbances. LANDIS PRO is designed to be compatible with forest inventory data, thus extensive inventory data can be directly utilized to initialize and calibrate model parameters before predicting future forest changes. LANDIS PRO allows for exploring the effects of disturbances, management, climate change, and modeling the spread of invasive species. We demonstrate that LANDIS PRO successfully predicts forest successional trajectories and stand development patterns in the Central Hardwood Forest region in U.S.
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CitationWang, Wen J.; He, Hong S.; Fraser, Jacob S.; Thompson, Frank R.; Shifley, Stephen R.; Spetich, Martin A. 2014. LANDIS PRO: a landscape model that predicts forest composition and structure changes at regional scales. Ecography 37: 001–005
- A large-scale forest landscape model incorporating multi-scale processes and utilizing forest inventory data
- A framework for evaluating forest landscape model predictions using empirical data and knowledge
- Landscape Builder: software for the creation of initial landscapes for LANDIS from FIA data
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