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EM: Using the Ecosystem Services assessment tool TESSA to balance the multiple landscape demands of increasing woodlands in a UK national park (EM-1039)
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Expand AllEM Identity and Description
EM Identification
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EM ID
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EM-1039 |
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EM Short Name
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TESSA ecosystem service tool, UK |
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EM Full Name
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Using the Ecosystem Services assessment tool TESSA to balance the multiple landscape demands of increasing woodlands in a UK national park |
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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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494 |
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Document Author
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Iversen, S.V., MacDonald, M.A., van der Velden, N., van Soesbergen, A., Convery, I., Mansfield, L. and Holt, C.D. |
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Document Year
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2024 |
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Document Title
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Using the Ecosystem Services assessment tool TESSA to balance the multiple landscape demands of increasing woodlands in a UK national park |
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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
| https://www.ipbes.net/policy-support/tools-instruments/toolkit-ecosystem-service-site-based-assessment-tessa-v20 | |
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Contact Name
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Sara V. Iversen |
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Contact Address
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Department of Agroecology, Aarhus University, Blichers Allé, 8830 Tjele, Denmark |
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Contact Email
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sara.iversen@agro.au.dk |
EM Description
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Summary Description
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Upland regions in the UK are increasingly under consideration as potential areas for the creation of woodlands. This is driven by a combination of factors, including the aims of UK forestry policy to increase woodland cover, changes in current upland land-use and management, agri-environment schemes in national and international policy and an increasing public awareness of the ecosystem service benefits landscapes can deliver for society. Creating new woodlands in upland areas is challenging, partly due to concerns of potential impacts from a change in land use and stakeholder interests. This study considers a 250 km2 Cumbrian (England) upland landscape dominated by sheep grazing and, using an established ecosystem service assessment tool (TESSA), estimates the provision of ecosystem services under plausible alternative woodland creation scenarios. The assessment focuses on key ecosystem goods and services, which are identified by stakeholders to be of high importance to the study area, and the potential changes to those under the scenarios. The results indicate that, under lower woodland percentage scenarios (10 %), minor benefits are expected. However, a more complex outcome would be expected from the higher percentage woodland scenarios (75 %) with the woodland cover of 50 % identified as providing the highest overall benefit to society. |
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Specific Policy or Decision Context Cited
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None provided |
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Biophysical Context
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Howgill Fells Natural Character Area, Cumbria, UK |
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EM Scenario Drivers
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10% woodland cover |
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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NA |
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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
em.detail.extentNameHelp
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Howgill Fells Natural Character Area |
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Spatial Extent Area (Magnitude)
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100-1000 km^2 |
Spatial Distribution of Computations
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EM Spatial Distribution
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spatially lumped (in all cases) |
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Spatial Grain Type
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Not applicable |
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Spatial Grain Size
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Not applicable |
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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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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Unclear |
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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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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
em.detail.ddLatHelp
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54.39 |
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Centroid Longitude
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-2.51 |
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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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Upland rural region of Cumbria |
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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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Not applicable |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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| None Available |
EnviroAtlas URL
em.detail.enviroAtlasURLHelp
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| Carbon Storage by Tree Biomass, Average Annual Daily Potential Wind Energy |
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
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Intermediate (Computed) Variables (and Units)
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None |
Response
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