EcoService Models Library (ESML)
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EM: InVEST crop pollination, California, USA (EM-338)
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EM Identity and Description
EM Identification
EM ID
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EM-338 |
EM Short Name
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InVEST crop pollination, California, USA |
EM Full Name
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InVEST crop pollination, California, USA |
EM Source or Collection
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InVEST |
EM Source Document ID
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279 |
Document Author
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Lonsdorf, E., Kremen, C., Ricketts, T., Winfree, R., Williams, N., and S. Greenleaf |
Document Year
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2009 |
Document Title
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Modelling pollination services across agricultural landscapes |
Document Status
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Peer reviewed and published |
Comments on Status
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Published journal manuscript |
Software and Access
http://www.naturalcapitalproject.org/models/crop_pollination.html | |
Contact Name
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Eric Lonsdorf |
Contact Address
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Conservation and Science Dept, Linclon Park Zoo, 2001 N. Clark St, Chicago, IL 60614, USA |
Contact Email
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ericlonsdorf@lpzoo.org |
EM Description
Summary Description
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Please note: This ESML entry describes a specific, published application of an InVEST model. Different versions (e.g. different tiers) or more recent versions of this model may be available at the InVEST website. ABSTRACT: "Background and Aims: Crop pollination by bees and other animals is an essential ecosystem service. Ensuring the maintenance of the service requires a full understanding of the contributions of landscape elements to pollinator populations and crop pollination. Here, the first quantitative model that predicts pollinator abundance on a landscape is described and tested. Methods: Using information on pollinator nesting resources, floral resources and foraging distances, the model predicts the relative abundance of pollinators within nesting habitats. From these nesting areas, it then predicts relative abundances of pollinators on the farms requiring pollination services. Model outputs are compared with data from coffee in Costa Rica, watermelon and sunflower in California and watermelon in New Jersey–Pennsylvania (NJPA). Key Results: Results from Costa Rica and California, comparing field estimates of pollinator abundance, richness or services with model estimates, are encouraging, explaining up to 80 % of variance among farms. However, the model did not predict observed pollinator abundances on NJPA, so continued model improvement and testing are necessary. The inability of the model to predict pollinator abundances in the NJPA landscape may be due to not accounting for fine-scale floral and nesting resources within the landscapes surrounding farms, rather than the logic of our model. Conclusions: The importance of fine-scale resources for pollinator service delivery was supported by sensitivity analyses indicating that the model's predictions depend largely on estimates of nesting and floral resources within crops. Despite the need for more research at the finer-scale, the approach fills an important gap by providing quantitative and mechanistic model from which to evaluate policy decisions and develop land-use plans that promote pollination conservation and service delivery. " |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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No additional description provided |
EM Scenario Drivers
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No scenarios presented |
EM Relationship to Other EMs or Applications
Method Only, Application of Method or Model Run
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Method + Application (multiple runs exist) View EM Runs |
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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Doc-279 |
EM ID for related EM
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EM-340 | EM-339 |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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2001-2002 |
EM Time Dependence
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time-stationary |
EM Time Reference (Future/Past)
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Not applicable |
EM Time Continuity
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Not applicable |
EM Temporal Grain Size Value
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Not applicable |
EM Temporal Grain Size Unit
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Not applicable |
EM Spatial Extent
Bounding Type
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Other |
Spatial Extent Name
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Agricultural landscape, Yolo County, Central Valley |
Spatial Extent Area (Magnitude)
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1000-10,000 km^2. |
Spatial Distribution of Computations
EM Spatial Distribution
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spatially distributed (in at least some cases) |
Spatial Grain Type
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area, for pixel or radial feature |
Spatial Grain Size
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30 m x 30 m |
EM Structure and Computation Approach
EM Computational Approach
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Analytic |
EM Determinism
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deterministic |
Statistical Estimation of EM
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Model Checking Procedures Used
Model Calibration Reported?
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Unclear |
Model Goodness of Fit Reported?
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No |
Goodness of Fit (metric| value | unit)
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None |
Model Operational Validation Reported?
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Yes ?Comment:Performed just for "Total pollinator abundance service score". |
Model Uncertainty Analysis Reported?
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No |
Model Sensitivity Analysis Reported?
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No |
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)
Centroid Latitude
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38.7 |
Centroid Longitude
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-121.8 |
Centroid Datum
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WGS84 |
Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
EM Environmental Sub-Class
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Terrestrial Environment (sub-classes not fully specified) | Agroecosystems |
Specific Environment Type
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Cropland and surrounding landscape |
EM Ecological Scale
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Ecological scale is finer 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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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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Intermediate
Response
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Observed Response Variables (and Units)
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None |
Computed Response Variables (and Units)
view details (3 variables)
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