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EM: LANDIS PRO: a landscape model that predicts forest composition and structure changes at regional scales (EM-1047)
Collapse All
Expand AllEM Identity and Description
EM Identification
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EM ID
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EM-1047 |
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EM Short Name
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LANDIS PRO, landscape change model, US |
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EM Full Name
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LANDIS PRO: a landscape model that predicts forest composition and structure changes at regional scales |
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EM Source or Collection
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None |
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EM Source Document ID
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497 |
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Document Author
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Wang, W.J., He, H.S., Fraser, J.S., Thompson III, F.R., Shifley, S.R. and Spetich, M.A. |
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Document Year
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2014 |
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Document Title
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LANDIS PRO: a landscape model that predicts forest composition and structure changes at regional scales |
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Document Status
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Peer reviewed and published |
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Comments on Status
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Published journal manuscript |
Software and Access
| https://cafnrfaculty.missouri.edu/gislab/landis/ | |
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Contact Name
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H. S. He |
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Contact Address
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School of Natural Resources, Univ. of Missouri, 203 ABNR Bldg, Columbia, MO 65211, USA |
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Contact Email
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heh@missouri.edu |
EM Description
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Summary Description
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LANDIS 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. Landscape-scale 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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Specific Policy or Decision Context Cited
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None provided |
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Biophysical Context
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Central hardwood forest region, US |
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EM Scenario Drivers
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None identified |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Method + Application |
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New or Pre-existing EM?
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New or revised model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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None |
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EM ID for related EM
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None |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
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1980-2130 |
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EM Time Dependence
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time-dependent |
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EM Time Reference (Future/Past)
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both |
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EM Time Continuity
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discrete |
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EM Temporal Grain Size Value
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5 |
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EM Temporal Grain Size Unit
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Year |
EM Spatial Extent
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Bounding Type
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Physiographic or ecological |
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Spatial Extent Name
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Central Hardwood Forest Region, US |
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Spatial Extent Area (Magnitude)
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100,000-1,000,000 km^2 |
Spatial Distribution of Computations
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EM Spatial Distribution
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spatially distributed (in at least some cases) |
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Spatial Grain Type
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area, for pixel or radial feature |
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Spatial Grain Size
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90m x 90m |
EM Structure and Computation Approach
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EM Computational Approach
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Analytic |
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EM Determinism
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deterministic |
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Statistical Estimation of EM
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Model Checking Procedures Used
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Model Calibration Reported?
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Yes |
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Model Goodness of Fit Reported?
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Yes |
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Goodness of Fit (metric| value | unit)
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Model Operational Validation Reported?
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Not applicable |
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Model Uncertainty Analysis Reported?
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Unclear |
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Model Sensitivity Analysis Reported?
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Unclear |
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Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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| None |
Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
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36.49 |
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Centroid Longitude
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-89.53 |
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Centroid Datum
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WGS84 |
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Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
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EM Environmental Sub-Class
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Forests |
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Specific Environment Type
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hardwood forests |
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EM Ecological Scale
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Ecological scale corresponds to the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Species |
Taxonomic level and name of organisms or groups identified
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EnviroAtlas URL
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| GAP Ecological Systems |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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EM Variable Names (and Units)
Predictor
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Driving Variables (and Units)
view details (4 variables)
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Constant or Factor Variables (and Units)
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None |
Intermediate
Response
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Observed Response Variables (and Units)
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None |
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Computed Response Variables (and Units)
view details (4 variables)
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