EcoService Models Library (ESML)
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EM: Biological control of agricultural pests by natural predators, Uppland Province, Sweden (EM-303)
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EM Identity and Description
EM Identification
EM ID
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EM-303 |
EM Short Name
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Biological pest control, Uppland Province, Sweden |
EM Full Name
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Biological control of agricultural pests by natural predators, Uppland Province, Sweden |
EM Source or Collection
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None |
EM Source Document ID
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299 |
Document Author
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Jonsson, M., Bommarco, R., Ekbom, B., Smith, H.G., Bengtsson, J., Caballero-Lopez, B., Winqvist, C., and Olsson, O. |
Document Year
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2014 |
Document Title
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Ecological production functions for biological control services in 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
Not applicable | |
Contact Name
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Mattias Jonsson |
Contact Address
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Department of Ecology, Swedish University of Agricultural Sciences, PO Box 7044, SE-750 07 Uppsala, Sweden |
Contact Email
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mattias.jonsson@slu.se |
EM Description
Summary Description
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ABSTRACT: "We develop a novel, mechanistic landscape model for biological control of cereal aphids, explicitly accounting for the influence of landscape composition on natural enemies varying in mobility, feeding rates and other life history traits. Finally, we use the model to map biological control services across cereal fields in a Swedish agricultural region with varying landscape complexity. The model predicted that biological control would reduce crop damage by 45–70% and that the biological control effect would be higher in complex landscapes. In a validation with independent data, the model performed well and predicted a significant proportion of biological control variation in cereal fields. However, much variability remains to be explained, and we propose that the model could be improved by refining the mechanistic understanding of predator dynamics and accounting for variation in aphid colonization." |
Specific Policy or Decision Context Cited
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None identified |
Biophysical Context
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Spring-sown cereal croplands, where the bird chearry-oat aphid is a key aphid pest. The aphid colonizes the crop during late May and early June, depending on weather and location. The colonization phase is followed by a brief phase of rapid exponential population growth by wingless aphids, continuing until about the time of crop heading, in late June or early July. After heading, aphid populations usually decline rapidly in the crop due to decreased plant quality and migration to grasslands. The aphids are attacked by a complex of arthropod natural enemies, but parasitism is not important in the region and therefore not modelled here. |
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 |
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 |
EM ID for related EM
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None |
EM Modeling Approach
EM Relationship to Time
EM Temporal Extent
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2009 |
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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Geopolitical |
Spatial Extent Name
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Uppland province |
Spatial Extent Area (Magnitude)
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10,000-100,000 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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25 m x 25 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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No |
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 |
Model Uncertainty Analysis Reported?
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No |
Model Sensitivity Analysis Reported?
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Yes ?Comment:AUTHOR'S NOTE: "Varying aphid fecundity, overall predator abundances and attack rates affected the biological control effect, but had little influence on the relative differences between landscapes with high and low levels of biological control. The model predictions were more sensitive to changing the predators' landscape relations, but, with few exceptions, did not dramatically alter the overall patterns generated by the model." |
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)
Centroid Latitude
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59.52 |
Centroid Longitude
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17.9 |
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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Agroecosystems | Grasslands |
Specific Environment Type
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Spring-sown cereal croplands and surrounding grassland and non-arable land |
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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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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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
Intermediate (Computed) Variables (and Units)
view details (3 variables)
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Response
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Observed Response Variables (and Units)
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None |
Computed Response Variables (and Units)
view details (1 variable)
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