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: Tallgrass prairie bee community affected by management effects on plant community and soil properties, Missouri, USA (EM-777)
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EM Identity and Description
EM Identification (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
EM Short Name
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Bees and managed prairie plants and soil, MO, USA | * | * | * | * |
EM Full Name
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Tallgrass prairie bee community affected by management effects on plant community and soil properties, Missouri, USA | * | * | * | * |
EM Source or Collection
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None | * | * | * | * |
EM Source Document ID
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398 | * | * | * | * |
Document Author
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Buckles, B. J., and A. N. Harmon-Threatt | * | * | * | * |
Document Year
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2019 | * | * | * | * |
Document Title
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Bee diversity in tallgrass prairies affected by management and its effects on above‐ and below‐ground resources | * | * | * | * |
Document Status
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Peer reviewed and published | * | * | * | * |
Comments on Status
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Published journal manuscript | * | * | * | * |
Software and Access (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Not applicable | * | * | * | * | |
Contact Name
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Alexandra N. Harmon‐Threatt | * | * | * | * |
Contact Address
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Department of Entomology, University of Illinois, Urbana, IL, USA | * | * | * | * |
Contact Email
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aht@illinois.edu | * | * | * | * |
EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Summary Description
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ABSTRACT: "1. Habitat management methods are crucial to maintaining habitats in the long term and ensuring vital resources are available for declining species. However, when management focuses on a single resource there is the potential to reduce or degrade other critical resources and negatively affect species of concern. Although both floral and nesting resources are critical to supporting bee populations, little consideration is given to the availability of nesting resources. Given known effects of management methods on soils, where the majority of bees nest, and floral food resources, increasing our understanding of management effects on both soils and floral resources is important to improving bee conservation efforts. 2. In 20 tallgrass prairie plots managed under 1 of 3 common methods: burning, haying and patch‐burn grazing, we assessed effects on bee communities and necessary above‐ and below‐ground resources. We also considered how management and resources affected below‐ground nesting in each prairie. 3. Management type affected both soil conditions and floral resources with patchburn grazing sites providing overall worse resources for bees compared to ungrazed sites. Soil conditions were also important for predicting most aspects of the bee community including abundance and community composition. Soil conditions also decreased floral richness and Floristic Quality Index (FQI). This suggests management affects bee communities both directly and indirectly through soil. 4. Increased nesting was observed in sites with greater floral abundance and soil conditions that correspond to increased bare ground, lower soil moisture and warmer soil temperatures suggesting management that helps increase floral abundance and improve soil conditions could be critical to increasing bee nesting. 5. Synthesis and applications. Measuring and tracking bare ground, Floristic Quality Index (FQI) and floral richness may help managers determine if their management methods are adversely affecting bees. Grazing and haying management negatively affected the bee community, vital nesting and…" floraresources and nesting rate. These managements may need to be avoided to meet bee conservation goals in prairies. Additionally, while soils have been largely overlooked, we found soil conditions to be an important predictor for bee communities and floral resources, and should be considered more explicitly in conserved areas. | * | * | * | * |
Specific Policy or Decision Context Cited
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Management strategies of prairie remnants for pollinator community | * | * | * | * |
Biophysical Context
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No additional description provided | * | * | * | * |
EM Scenario Drivers
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Alternative management strategies: burning, haying and patch‐burn grazing | * | * | * | * |
EM Relationship to Other EMs or Applications
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Method Only, Application of Method or Model Run
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Method + Application (multiple runs exist) | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application | Model Run Associated with a Specific EM Application |
New or Pre-existing EM?
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New or revised model | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Document ID for related EM
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None | None | None | None | None |
EM ID for related EM
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None | None | None | None | None |
EM Modeling Approach
EM Relationship to Time (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
EM Temporal Extent
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2012-2016 | * | * | * | * |
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 (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Bounding Type
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Geopolitical | * | * | * | * |
Spatial Extent Name
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Counties: Barton, St. Clair, Cedar, Dade and Polk | * | * | * | * |
Spatial Extent Area (Magnitude)
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1000-10,000 km^2. | * | * | * | * |
Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
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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1 ha | * | * | * | * |
EM Structure and Computation Approach (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
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 (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Model Calibration Reported?
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No | * | * | * | * |
Model Goodness of Fit Reported?
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Not applicable | * | * | * | * |
Goodness of Fit (metric| value | unit)
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None | * | * | * | * |
Model Operational Validation Reported?
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No | * | * | * | * |
Model Uncertainty Analysis Reported?
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No | * | * | * | * |
Model Sensitivity Analysis Reported?
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Yes | * | * | * | * |
Model Sensitivity Analysis Include Interactions?
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No | * | * | * | * |
EM Locations, Environments, Ecology
Location of EM Application (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
None | * | * | * | * |
Centroid Lat/Long (Decimal Degree)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Centroid Latitude
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37.68 | * | * | * | * |
Centroid Longitude
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-93.71 | * | * | * | * |
Centroid Datum
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WGS84 | * | * | * | * |
Centroid Coordinates Status
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Estimated | * | * | * | * |
Environments and Scales Modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
EM Environmental Sub-Class
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Grasslands | * | * | * | * |
Specific Environment Type
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Remnant tallgrass prairie | * | * | * | * |
EM Ecological Scale
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Ecological scale corresponds to the Environmental Sub-class | * | * | * | * |
Organisms modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)
Scale of differentiation of organisms modeled
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EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
EM Organismal Scale
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Species | * | * | * | * |
Taxonomic level and name of organisms or groups identified
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
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EnviroAtlas URL
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
GAP Ecological Systems, Acres of Land Enrolled in the Conservation Reserve Program (CRP) | GAP Ecological Systems, Acres of Land Enrolled in the Conservation Reserve Program (CRP) | GAP Ecological Systems, Acres of Land Enrolled in the Conservation Reserve Program (CRP) | GAP Ecological Systems, Acres of Land Enrolled in the Conservation Reserve Program (CRP) | GAP Ecological Systems, Acres of Land Enrolled in the Conservation Reserve Program (CRP) |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
* Note that run information is shown only where run data differ from the "parent" entry shown at left
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
None | * | * | * | * |
EM Variable Names (and Units)
* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.
Predictor
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EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Driving Variables (and Units)
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Constant or Factor Variables (and Units)
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Intermediate
EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Intermediate (Computed) Variables (and Units)
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Response
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EM ID
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EM-777 | Burn management | Hay management | Patch-burn grazing-Y1 management | Patch-burn grazing-Y3 management |
Observed Response Variables (and Units)
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Computed Response Variables (and Units)
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