EcoService Models Library (ESML)

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Variables Details

: (EM-658)

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EM Identity and Description

EM ID variable.detail.emIdHelp ?	EM-658
Document Author variable.detail.emDocumentAuthorHelp ?	Jackson, B., T. Pagella, F. Sinclair, B. Orellana, A. Henshaw, B. Reynolds, N. Mcintyre, H. Wheater, and A. Eycott
Document Year variable.detail.emDocumentYearHelp ?	2013

Variable General Info

Name variable.detail.varNameHelp ?	Agricultural productivity ? Comment: Mapped results. The land is valued independently from its current land use; bright red indicates sites with very high potential productivity (e.g., flat and well-drained land); dark red denotes land with moderate potential; orange suggests marginal land (e.g., moderately sloping so difficult to manage with normal machinery); green land is deemed to have little or no agricultural value (e.g., steep and/or normally waterlogged). Additional output examines whether land is being under or over utilized.	Carbon stock ? Comment: The carbon stock combines biomas carbon and soil carbon.	Ecosystem services synergies and tradoffs ? Comment: By running those layers of interest through the trade-off algorithms, it is possible to identify areas where interventions provide multiple benefits and those where intervention is undesirable due to the existing agricultural or ecological value. This paper considers three of the services provided by the current (post-tree planting) Pontbren landscape: agricultural productivity, habitat provision, and flood risk mitigation opportunities. Mapped results identify locations in space where synergies, deteriorated services, or tradeoffs between services would occur by planting further broadleaved woodland. Additional results summarize the overall percentages of land where various combinations of negative or positive benefits from planting would occur.	Erosion/sediment delivery risk and opportunity for mitigation ? Comment: The transfer of eroded sediment to rivers and streams relies on the existence of hydrological connectivity between the point of origin and the watercourse (cf. Lane et al., 2009). Areas of land which are vulnerable to severe soil erosion and at risk of being linked to proximate watercourses by uninterrupted overland flow are identified in Polyscape by combining the CTI layer with the flood mitigation tool. Mapped results. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.	Existing and opportunity for additional flood mitigation ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of flood mitigating land and mitigated flood generating land.	Existing and opportunity for additional habitat connectivity ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of priority habitat and other accessible (connected) habitat.	Opportunity to change carbon sequestration/emission ? Comment: Mapped result. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.
Variable ID variable.detail.varIdHelp ?	15462	15460	15463	15446	15440	15436	15461
Symbol variable.detail.varSymbolHelp ?	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
Qualitative-Quantitative variable.detail.continuousCategoricalHelp ?	Qualitative (Class, Rating or Ranking)	Quantitative (Cardinal Only)	Qualitative (Class, Rating or Ranking)	Qualitative (Class, Rating or Ranking)	Qualitative (Class, Rating or Ranking)	Qualitative (Class, Rating or Ranking)	Qualitative (Class, Rating or Ranking)
Cardinal-Ordinal variable.detail.cardinalOrdinalHelp ?	Non-Ordinal	Cardinal	Non-Ordinal	Non-Ordinal	Non-Ordinal	Non-Ordinal	Non-Ordinal
Units variable.detail.varUnitsHelp ?	Not applicable	kg/ha	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable

Variable Typology

Name variable.detail.varNameHelp ?	Agricultural productivity ? Comment: Mapped results. The land is valued independently from its current land use; bright red indicates sites with very high potential productivity (e.g., flat and well-drained land); dark red denotes land with moderate potential; orange suggests marginal land (e.g., moderately sloping so difficult to manage with normal machinery); green land is deemed to have little or no agricultural value (e.g., steep and/or normally waterlogged). Additional output examines whether land is being under or over utilized.	Carbon stock ? Comment: The carbon stock combines biomas carbon and soil carbon.	Ecosystem services synergies and tradoffs ? Comment: By running those layers of interest through the trade-off algorithms, it is possible to identify areas where interventions provide multiple benefits and those where intervention is undesirable due to the existing agricultural or ecological value. This paper considers three of the services provided by the current (post-tree planting) Pontbren landscape: agricultural productivity, habitat provision, and flood risk mitigation opportunities. Mapped results identify locations in space where synergies, deteriorated services, or tradeoffs between services would occur by planting further broadleaved woodland. Additional results summarize the overall percentages of land where various combinations of negative or positive benefits from planting would occur.	Erosion/sediment delivery risk and opportunity for mitigation ? Comment: The transfer of eroded sediment to rivers and streams relies on the existence of hydrological connectivity between the point of origin and the watercourse (cf. Lane et al., 2009). Areas of land which are vulnerable to severe soil erosion and at risk of being linked to proximate watercourses by uninterrupted overland flow are identified in Polyscape by combining the CTI layer with the flood mitigation tool. Mapped results. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.	Existing and opportunity for additional flood mitigation ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of flood mitigating land and mitigated flood generating land.	Existing and opportunity for additional habitat connectivity ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of priority habitat and other accessible (connected) habitat.	Opportunity to change carbon sequestration/emission ? Comment: Mapped result. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	Response	Response	Response	Response	Response	Response	Response
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Response Variable Type variable.detail.resClassHelp ?	Computed Variable	Computed Variable	Computed Variable	Computed Variable	Computed Variable	Computed Variable	Computed Variable
Data Source/Type variable.detail.dataTypeHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Variable Classification Hierarchy variable.detail.vchLevel1Help ?	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services
	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Other, multiple, unspecified or unclear	--Physical/chemical characteristics of nonliving ecosystem components	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS	--CICES categories: Ecosystem goods and services - or landscape-level indices of suitability to supply EGS
	----Suitability to supply provisioning services-Nutrition	----Carbon-related characteristics of ecosystem components		----Physical/chemical characteristics of soils, substrates, rocks	----Suitability to supply regulation & maintenance services-Mediation of flows	----Suitability to supply regulation & maintenance services-Maintenance of conditions	----Suitability to supply regulation & maintenance services-Maintenance of conditions
	------Cultivated crops	------Carbon presence (in terrestrial or aquatic ecosystem components)		------Soil, slope or land stability or erosiveness	------Flood and storm protection	------Maintaining nursery populations and habitats	------Global climate regulation by reduction of greenhouse gas concentrations

Variable Spatial Characteristics

Name variable.detail.varNameHelp ?	Agricultural productivity ? Comment: Mapped results. The land is valued independently from its current land use; bright red indicates sites with very high potential productivity (e.g., flat and well-drained land); dark red denotes land with moderate potential; orange suggests marginal land (e.g., moderately sloping so difficult to manage with normal machinery); green land is deemed to have little or no agricultural value (e.g., steep and/or normally waterlogged). Additional output examines whether land is being under or over utilized.	Carbon stock ? Comment: The carbon stock combines biomas carbon and soil carbon.	Ecosystem services synergies and tradoffs ? Comment: By running those layers of interest through the trade-off algorithms, it is possible to identify areas where interventions provide multiple benefits and those where intervention is undesirable due to the existing agricultural or ecological value. This paper considers three of the services provided by the current (post-tree planting) Pontbren landscape: agricultural productivity, habitat provision, and flood risk mitigation opportunities. Mapped results identify locations in space where synergies, deteriorated services, or tradeoffs between services would occur by planting further broadleaved woodland. Additional results summarize the overall percentages of land where various combinations of negative or positive benefits from planting would occur.	Erosion/sediment delivery risk and opportunity for mitigation ? Comment: The transfer of eroded sediment to rivers and streams relies on the existence of hydrological connectivity between the point of origin and the watercourse (cf. Lane et al., 2009). Areas of land which are vulnerable to severe soil erosion and at risk of being linked to proximate watercourses by uninterrupted overland flow are identified in Polyscape by combining the CTI layer with the flood mitigation tool. Mapped results. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.	Existing and opportunity for additional flood mitigation ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of flood mitigating land and mitigated flood generating land.	Existing and opportunity for additional habitat connectivity ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of priority habitat and other accessible (connected) habitat.	Opportunity to change carbon sequestration/emission ? Comment: Mapped result. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.
Spatial Extent Area variable.detail.spExtentHelp ?	10-100 km^2	10-100 km^2	10-100 km^2	10-100 km^2	10-100 km^2	10-100 km^2	10-100 km^2
Spatially Distributed? variable.detail.spDistributedHelp ?	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Spatial Grain Type variable.detail.spGrainTypeHelp ?	area, for pixel or radial feature	area, for pixel or radial feature	area, for pixel or radial feature	area, for pixel or radial feature	area, for pixel or radial feature	area, for pixel or radial feature	area, for pixel or radial feature
Spatial Grain Size variable.detail.spGrainSizeHelp ?	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
Spatial Density variable.detail.spDensityHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?

Variable Temporal Characteristics

Name variable.detail.varNameHelp ?	Agricultural productivity ? Comment: Mapped results. The land is valued independently from its current land use; bright red indicates sites with very high potential productivity (e.g., flat and well-drained land); dark red denotes land with moderate potential; orange suggests marginal land (e.g., moderately sloping so difficult to manage with normal machinery); green land is deemed to have little or no agricultural value (e.g., steep and/or normally waterlogged). Additional output examines whether land is being under or over utilized.	Carbon stock ? Comment: The carbon stock combines biomas carbon and soil carbon.	Ecosystem services synergies and tradoffs ? Comment: By running those layers of interest through the trade-off algorithms, it is possible to identify areas where interventions provide multiple benefits and those where intervention is undesirable due to the existing agricultural or ecological value. This paper considers three of the services provided by the current (post-tree planting) Pontbren landscape: agricultural productivity, habitat provision, and flood risk mitigation opportunities. Mapped results identify locations in space where synergies, deteriorated services, or tradeoffs between services would occur by planting further broadleaved woodland. Additional results summarize the overall percentages of land where various combinations of negative or positive benefits from planting would occur.	Erosion/sediment delivery risk and opportunity for mitigation ? Comment: The transfer of eroded sediment to rivers and streams relies on the existence of hydrological connectivity between the point of origin and the watercourse (cf. Lane et al., 2009). Areas of land which are vulnerable to severe soil erosion and at risk of being linked to proximate watercourses by uninterrupted overland flow are identified in Polyscape by combining the CTI layer with the flood mitigation tool. Mapped results. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.	Existing and opportunity for additional flood mitigation ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of flood mitigating land and mitigated flood generating land.	Existing and opportunity for additional habitat connectivity ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of priority habitat and other accessible (connected) habitat.	Opportunity to change carbon sequestration/emission ? Comment: Mapped result. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.
Temporal Extent variable.detail.tempExtentHelp ?	1990-2007	1990-2007	1990-2007	1990-2007	1990-2007	1990-2007	1990-2007
Temporally Distributed? variable.detail.tempDistributedHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Density variable.detail.tempDensityHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable

Variable Values

Name variable.detail.varNameHelp ?	Agricultural productivity ? Comment: Mapped results. The land is valued independently from its current land use; bright red indicates sites with very high potential productivity (e.g., flat and well-drained land); dark red denotes land with moderate potential; orange suggests marginal land (e.g., moderately sloping so difficult to manage with normal machinery); green land is deemed to have little or no agricultural value (e.g., steep and/or normally waterlogged). Additional output examines whether land is being under or over utilized.	Carbon stock ? Comment: The carbon stock combines biomas carbon and soil carbon.	Ecosystem services synergies and tradoffs ? Comment: By running those layers of interest through the trade-off algorithms, it is possible to identify areas where interventions provide multiple benefits and those where intervention is undesirable due to the existing agricultural or ecological value. This paper considers three of the services provided by the current (post-tree planting) Pontbren landscape: agricultural productivity, habitat provision, and flood risk mitigation opportunities. Mapped results identify locations in space where synergies, deteriorated services, or tradeoffs between services would occur by planting further broadleaved woodland. Additional results summarize the overall percentages of land where various combinations of negative or positive benefits from planting would occur.	Erosion/sediment delivery risk and opportunity for mitigation ? Comment: The transfer of eroded sediment to rivers and streams relies on the existence of hydrological connectivity between the point of origin and the watercourse (cf. Lane et al., 2009). Areas of land which are vulnerable to severe soil erosion and at risk of being linked to proximate watercourses by uninterrupted overland flow are identified in Polyscape by combining the CTI layer with the flood mitigation tool. Mapped results. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.	Existing and opportunity for additional flood mitigation ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of flood mitigating land and mitigated flood generating land.	Existing and opportunity for additional habitat connectivity ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of priority habitat and other accessible (connected) habitat.	Opportunity to change carbon sequestration/emission ? Comment: Mapped result. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.
Units variable.detail.estUnitHelp ?	Not applicable	Not reported	Not applicable ? Comment: Land under Category 1 is providing benefit to all services under its existing management regime, Category 2 is providing benefit to some services and no negative impacts under its existing regime; Category 3 is EITHER land providing negligible current provision but also with negligible opportunity to enhance this provision OR its current management regime is positive for some services and negative for others. Category 4 land indicates opportunity to improve some services without degradation in any others, and Category 5 land indicates opportunity to improve all services.	Not applicable	Not applicable	Not applicable	Not applicable
Min Value variable.detail.minEstHelp ?	Not applicable	Not reported	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Max Value variable.detail.estHelp ?	Not applicable	Not reported	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Other Value Type variable.detail.natureOtherEstHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Other Value variable.detail.otherEstHelp ?	Not applicable	Not reported	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable

Variable Variability and Sensitivity

Name variable.detail.varNameHelp ?	Agricultural productivity ? Comment: Mapped results. The land is valued independently from its current land use; bright red indicates sites with very high potential productivity (e.g., flat and well-drained land); dark red denotes land with moderate potential; orange suggests marginal land (e.g., moderately sloping so difficult to manage with normal machinery); green land is deemed to have little or no agricultural value (e.g., steep and/or normally waterlogged). Additional output examines whether land is being under or over utilized.	Carbon stock ? Comment: The carbon stock combines biomas carbon and soil carbon.	Ecosystem services synergies and tradoffs ? Comment: By running those layers of interest through the trade-off algorithms, it is possible to identify areas where interventions provide multiple benefits and those where intervention is undesirable due to the existing agricultural or ecological value. This paper considers three of the services provided by the current (post-tree planting) Pontbren landscape: agricultural productivity, habitat provision, and flood risk mitigation opportunities. Mapped results identify locations in space where synergies, deteriorated services, or tradeoffs between services would occur by planting further broadleaved woodland. Additional results summarize the overall percentages of land where various combinations of negative or positive benefits from planting would occur.	Erosion/sediment delivery risk and opportunity for mitigation ? Comment: The transfer of eroded sediment to rivers and streams relies on the existence of hydrological connectivity between the point of origin and the watercourse (cf. Lane et al., 2009). Areas of land which are vulnerable to severe soil erosion and at risk of being linked to proximate watercourses by uninterrupted overland flow are identified in Polyscape by combining the CTI layer with the flood mitigation tool. Mapped results. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.	Existing and opportunity for additional flood mitigation ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of flood mitigating land and mitigated flood generating land.	Existing and opportunity for additional habitat connectivity ? Comment: Mapped results are presented for the two scenarios. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”. The paper further calculates the proportions of priority habitat and other accessible (connected) habitat.	Opportunity to change carbon sequestration/emission ? Comment: Mapped result. Model output classifies elements (i.e., each grid of elevation data) within the landscape into one of five categories; very high existing value, high existing value, marginal value, opportunity for change or high opportunity for change. These classifications are visualised using a five-way colour system. The default palette uses a traffic light system; red colours suggest that stakeholders “STOP and think carefully before making any changes to the landscape at these locations”, yellow means “proceed with caution”, and green colours indicate a “green light to proceed with modifying the landscape”.
Variability Expression Given? variable.detail.variabilityExpHelp ?	Not applicable	No	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Variability Metric variable.detail.variabilityMetricHelp ?	None	None	None	None	None	None	None
Variability Value variable.detail.variabilityValueHelp ?	None	None	None	None	None	None	None
Variability Units	None	None	None	None	None	None	None
Resampling Used? variable.detail.bootstrappingHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Variability Expression Used in Modeling? variable.detail.variabilityUsedHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable

Variable Operational Validation (Response Variables only)

Name variable.detail.varNameHelp ?	Agricultural productivity	Carbon stock	Ecosystem services synergies and tradoffs	Erosion/sediment delivery risk and opportunity for mitigation	Existing and opportunity for additional flood mitigation	Existing and opportunity for additional habitat connectivity	Opportunity to change carbon sequestration/emission
Variable ID variable.detail.varIdHelp ?	15462	15460	15463	15446	15440	15436	15461
Validated? variable.detail.resValidatedHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Validation Approach (within, between, etc.) variable.detail.validationApproachHelp ?	None	None	None	None	None	None	None
Validation Quality (Qual/Quant) variable.detail.validationQualityHelp ?	None	None	None	None	None	None	None
Validation Method (Stat/Deviance) variable.detail.validationMethodHelp ?	None	None	None	None	None	None	None
Validation Metric variable.detail.validationMetricHelp ?	None	None	None	None	None	None	None
Validation Value variable.detail.validationValHelp ?	None	None	None	None	None	None	None
Validation Units	None	None	None	None	None	None	None
Use of Measured Response Data variable.detail.measuredResponseDataHelp ?	None	None	None	None	None	None	None