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EM: HexSim v2.4, San Joaquin kit fox rodenticide exposure, California, USA (EM-422)
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EM Identity and Description
EM Identification
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EM ID
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EM-422 |
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EM Short Name
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HexSim v2.4, San Joaquin kit fox, CA, USA |
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EM Full Name
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HexSim v2.4, San Joaquin kit fox rodenticide exposure, California, USA |
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EM Source or Collection
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US EPA |
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EM Source Document ID
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337 ?Comment:The HexSim User's Guide (Doc 327) was used as a secondary source to clarify variable relationships. |
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Document Author
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Nogeire, T. M., J. J. Lawler, N. H. Schumaker, B. L. Cypher, and S. E. Phillips |
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Document Year
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2015 |
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Document Title
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Land use as a driver of patterns of rodenticide exposure in modeled kit fox populations |
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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
| http://www.hexsim.net/ | |
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Contact Name
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Theresa M. Nogeire |
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Contact Address
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School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, USA |
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Contact Email
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tnogeire@gmail.com |
EM Description
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Summary Description
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ABSTRACT: "...Here, we use an individual-based population model to assess potential population-wide effects of rodenticide exposures on the endangered San Joaquin kit fox (Vulpes macrotis mutica). We estimate likelihood of rodenticide exposure across the species range for each land cover type based on a database of reported pesticide use and literature…" AUTHOR'S DESCRIPTION: "We simulated individual kit foxes across their range using HexSim [33], a computer modeling platform for constructing spatially explicit population models. Our model integrated life history traits, repeated exposures to rodenticides, and spatial data layers describing habitat and locations of likely exposures. We modeled female kit foxes using yearly time steps in which each individual had the potential to disperse, establish a home range, acquire resources from their habitat, reproduce, accumulate rodenticide exposures, and die." "Simulated kit foxes assembled home ranges based on local habitat suitability, with range size inversely related to habitat suitability [34,35]. Kit foxes aimed to acquire a home range with a target score corresponding to the observed 544 ha home range size in the most suitable habitat [26]. Modeled home ranges varied in size from 170 ha to 1000 ha. Kit foxes were assigned to a resource class depending on the quality of the habitat in their acquired home range. The resource class then influenced rates of kit fox survival," "Juveniles and adults without ranges searched for a home range across 30 km2 outside of their natal range, using HexSim’s ‘adaptive’ exploration algorithm [33]." |
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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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No additional description provided |
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EM Scenario Drivers
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Rodenticide exposure level, and rodenticide exposure on low intensity development land cover class |
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 (multiple runs exist) View EM Runs ?Comment:The HexSim User's Guide (Doc 327) was used as a secondary source to clarify variable relationships. |
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New or Pre-existing EM?
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Application of existing 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-328 | Doc-327 | Doc-2 |
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EM ID for related EM
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EM-403 | EM-98 |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
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60 yr |
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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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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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San Joaquin Valley, CA |
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Spatial Extent Area (Magnitude)
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10,000-100,000 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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14 ha |
EM Structure and Computation Approach
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EM Computational Approach
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Numeric |
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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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Unclear |
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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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Yes |
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Model Sensitivity Analysis Include Interactions?
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No |
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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36.13 |
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Centroid Longitude
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-120 |
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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) |
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Specific Environment Type
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Agricultural region (converted desert) and terrestrial perimeter |
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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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Individual or population, within a species |
Taxonomic level and name of organisms or groups identified
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EnviroAtlas URL
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| Stream Length Impaired by Pesticides |
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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| None |
EM Variable Names (and Units)
Predictor
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Intermediate
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Intermediate (Computed) Variables (and Units)
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None |
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 (2 variables)
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