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EM: Soil erosion prevention provided by vegetation cover, Portel municipality, Portugal (EM-324)
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Expand AllEM Identity and Description
EM Identification
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EM ID
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EM-324 |
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EM Short Name
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Erosion prevention by vegetation, Portel, Portugal |
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EM Full Name
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Soil erosion prevention provided by vegetation cover, Portel municipality, Portugal |
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EM Source or Collection
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EU Biodiversity Action 5 |
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EM Source Document ID
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281 |
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Document Author
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Guerra, C.A., Pinto-Correia, T., Metzger, M.J. |
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Document Year
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2014 |
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Document Title
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Mapping soil erosion prevention using an ecosystem service modeling framework for integrated land management and policy |
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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
| Not applicable | |
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Contact Name
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Carlos A. Guerra |
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Contact Address
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Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Pólo da Mitra, Apartado 94, 7002-554 Évora, Portugal |
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Contact Email
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cguerra@uevora.pt |
EM Description
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Summary Description
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ABSTRACT: "We present an integrative conceptual framework to estimate the provision of soil erosion prevention (SEP) by combining the structural impact of soil erosion and the social–ecological processes that allow for its mitigation. The framework was tested and illustrated in the Portel municipality in Southern Portugal, a Mediterranean silvo-pastoral system that is prone to desertification and soil degradation. The results show a clear difference in the spatial and temporal distribution of the capacity for ecosystem service provision and the actual ecosystem service provision." AUTHOR'S DESCRIPTION: "To begin assessing the contribution of SEP we need to identify the structural impact of soil erosion, that is, the erosion that would occur when vegetation is absent and therefore no ES is provided. It determines the potential soil erosion in a given place and time and is related to rainfall erosivity (that is, the erosive potential of rainfall), soil erodibility (as a characteristic of the soil type) and local topography. Although external drivers can have an effect on these variables (for example, climate change), they are less prone to be changed directly by human action. The actual ES provision reduces the total amount of structural impact, and we define the remaining impact as the ES mitigated impact. We can then define the capacity for ES provision as a key component to determine the fraction of the structural impact that is mitigated…Following the conceptual outline, we will estimate the SEP provided by vegetation cover using an adaptation of the Universal Soil Loss Equation (USLE)." |
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Specific Policy or Decision Context Cited
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None identified |
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Biophysical Context
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Open savannah-like forest of cork (Quercus suber) and holm (Quercus ilex) oaks, with trees of different ages randomly dispersed in changing densities, and pastures in the under cover. The pastures are mostly natural in a mosaic with patches of shrubs, which differ in size and the distribution depends mainly on the grazing intensity. Shallow, poor soils are prone to erosion, especially in areas with high grazing pressure. |
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EM Scenario Drivers
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Different land management practices as represented by the comparison of different grazing intensities (i.e., livestock densities) in the whole study area and in three Civil Parishes within the study area |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Model Run Associated with a Specific EM Application |
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New or Pre-existing EM?
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Run- Vera Cruz Civil Parish, low intensity grazing |
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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Doc-282 | Doc-283 | Doc-284 | Doc-285 |
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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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January to December 2003 |
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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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future time |
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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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1 |
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EM Temporal Grain Size Unit
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Month |
EM Spatial Extent
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Bounding Type
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Geopolitical |
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Spatial Extent Name
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Portel municipality |
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Spatial Extent Area (Magnitude)
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100-1000 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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250 m x 250 m |
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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No |
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Model Goodness of Fit Reported?
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No |
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Goodness of Fit (metric| value | unit)
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None |
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Model Operational Validation Reported?
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No |
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Model Uncertainty Analysis Reported?
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No |
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Model Sensitivity Analysis Reported?
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No |
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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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38.3 |
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Centroid Longitude
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-7.7 |
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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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Terrestrial Environment (sub-classes not fully specified) | Forests | Agroecosystems |
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Specific Environment Type
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Silvo-pastoral system |
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EM Ecological Scale
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Ecological scale is coarser than that of 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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Not applicable |
Taxonomic level and name of organisms or groups identified
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| None Available |
EnviroAtlas URL
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| None Available |
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 (10 variables)
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Constant or Factor Variables (and Units)
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* |
Intermediate
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Intermediate (Computed) Variables (and Units)
view details (4 variables)
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Response
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Observed Response Variables (and Units)
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* |
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Computed Response Variables (and Units)
view details (4 variables)
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