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EM: Restoration of plant-pollinator networks at reclaimed strip mine, Ohio, USA (EM-774)
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EM Identity and Description
EM Identification
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EM ID
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EM-774 |
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EM Short Name
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Plant-pollinator networks at reclaimed mine, USA |
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EM Full Name
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Restoration of plant-pollinator networks at reclaimed strip mine, Ohio, USA |
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EM Source or Collection
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None |
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EM Source Document ID
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397 |
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Document Author
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Cusser, S. and K. Goodell |
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Document Year
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2013 |
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Document Title
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Diversity and distribution of floral resources influence the restoration of plant-pollinator networks on a reclaimed strip mine |
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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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Sarah Cusser ?Comment:Department of Evolution, Ecology, and Organismal Biology, Ohio State University, 318 West 12th Avenue, Columbus, OH 43202, U.S.A. |
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Contact Address
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Department of Evolution, Ecology, and Behavior, School of Biological Sciences, The University of Texas at Austin, 100 East 24th Street Stop A6500, Austin, TX 78712-1598, U.S.A. |
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Contact Email
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sarah.cusser@gmail.com |
EM Description
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Summary Description
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ABSTRACT: "Plant–pollinator mutualisms are one of the several functional relationships that must be reinstated to ensure the long-term success of habitat restoration projects. These mutualisms are unlikely to reinstate themselves until all of the resource requirements of pollinators have been met. By meeting these requirements, projects can improve their long-term success. We hypothesized that pollinator assemblage and structure and stability of plant–pollinator networks depend both on aspects of the surrounding landscape and of the restoration effort itself. We predicted that pollinator species diversity and network stability would be negatively associated with distance from remnant habitat, but that local floral diversity might rescue pollinator diversity and network stability in locations distant from the remnant. We created plots of native prairie on a reclaimed strip mine in central Ohio, U.S.A. that ranged in floral diversity and isolation from the remnant habitat. We found that the pollinator diversity declined with distance from the remnant habitat. Furthermore, reduced pollinator diversity in low floral diversity plots far from the remnant habitat was associated with loss of network stability. High floral diversity, however, compensated for losses in pollinator diversity in plots far from the remnant habitat through the attraction of generalist pollinators. Generalist pollinators increased network connectance and plant-niche overlap. Asa result, network robustness of high floral diversity plots was independent of isolation. We conclude that the aspects of the restoration effort itself, such as floral community composition, can be successfully tailored to incorporate the restoration of pollinators and improve success given a particular landscape context." |
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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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The site was surface mined for coal until the mid-1980s and soon after recontoured and seeded with a low diversity of non-native grasses and forbes. The property is grassland in a state of arrested succession, unable to support tree growth because of shallow, infertile soils. |
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EM Scenario Drivers
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No scenarios presented |
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 |
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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 |
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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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2009-2010 |
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EM Time Dependence
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time-stationary |
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EM Time Reference (Future/Past)
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Not applicable |
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EM Time Continuity
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Not applicable |
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EM Temporal Grain Size Value
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Not applicable |
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EM Temporal Grain Size Unit
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Not applicable |
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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The Wilds |
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Spatial Extent Area (Magnitude)
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1-10 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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10 m radius |
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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Not applicable |
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Model Goodness of Fit Reported?
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Not applicable |
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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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Yes |
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Model Uncertainty Analysis Reported?
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Yes |
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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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39.82 |
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Centroid Longitude
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-81.75 |
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Centroid Datum
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WGS84 |
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Centroid Coordinates Status
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Provided |
Environments and Scales Modeled
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EM Environmental Sub-Class
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Grasslands |
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Specific Environment Type
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Grassland |
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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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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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| None |
EM Variable Names (and Units)
Predictor
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Driving Variables (and Units)
view details (5 variables)
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Constant or Factor Variables (and Units)
view details (1 variable)
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Intermediate
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Intermediate (Computed) Variables (and Units)
view details (1 variable)
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Response
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Observed Response Variables (and Units)
view details (4 variables)
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Computed Response Variables (and Units)
view details (4 variables)
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