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EM-349: Ecosystem services reinforce Sumatran tiger conservation in land use plans

EM Identity and Description

EM ID variable.detail.emIdHelp ?	EM-349
Document Author variable.detail.emDocumentAuthorHelp ?	Bhagabati, N. K., Ricketts, T., Sulistyawan, T. B. S., Conte, M., Ennaanay, D., Hadian, O., McKenzie, E., Olwero, N., Rosenthal, A., Tallis, H., and Wolney, S.
Document Year variable.detail.emDocumentYearHelp ?	2014

Variable General Info

Name variable.detail.varNameHelp ?	Land use/land cover class ? Comment: A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Above ground carbon pool per LULC, Below ground carbon pool per LULC, and Dead organic matter carbon pool per LULC, per land use/land cover type.	Sub-watershed boundary	Above ground carbon pool per LULC ? Comment: "For above-ground biomass (AGB), we used data provided in Uryu et al.’s (2008) assessment of CO2 emissions in Riau province, supplemented with estimates for Jambi province (SEAMEO-BIOTROP, 1999) where available for a given LULC type. Uryu et al. (2008) estimated biomass values (ton ha-1) as medians of published (when possible, region-specific) biomass values for different LULC classes extracted from a literature search. Most of the LULC classes in Uryu et al. (2008) are consistent with those in our scenario maps, and the values were directly transferred in those cases. When a LULC class in our map did not appear in Uryu et al. (2008), we took the median value of similar classes (e.g., generic “plantation” and “forest” classes in our scenario maps were assigned the median values of all plantations and mature forest classes, respectively). We multiplied AGB by a factor of 0.47 (Table 4.3 in IPCC, 2006, Vol. 4) to convert biomass to ton ha-1 of carbon." This variable has set constant values determined by class of Land use/land cover.	Below ground carbon pool per LULC ? Comment: Below-ground biomass was calculated as a fraction of AGB, using root: shoot biomass ratios for tropical ecosystems provided in IPCC guidelines (Table 4.4. in IPCC, 2006, Vol. 4). This variable has set constant values determined by class of Land use/land cover.	Dead organic matter carbon pool per LULC ? Comment: For carbon stored in dead organic matter, we used estimates of carbon in leaf litter provided in IPCC (2006) (Table 2.2 in Vol. 2) for tropical ecosystems, assigning zero or downscaled values for human-modified or bare land uses. This variable has set constant values determined by class of Land use/land cover.	Soil carbon pool ? Comment: Soil carbon layer generated using the Harmonized World Soil Database (FAO/IIASA/ISRIC/ISSCAS/JRC, 2009). Where peat soils occur, the world soil layer was replaced with a peatland distribution layer from Wetlands International that includes spatially explicit estimates of peat carbon content (Wahyunto et al., 2003).	Average percent change in total carbon ? Comment: Value is the average change from 2008 to 2020 for each scenario for the study area, across all sub-watersheds.	Percent change in total carbon per sub-watershed ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Total carbon per sub-watershed ? Comment: Sub-watersheds were the smallest spatial grain at which results were reported. Results were reported as relative spatial distribution across the landscape, and relative change to scenarios rather than precise quantification. Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Variable ID variable.detail.varIdHelp ?	6921	7039	6922	6923	6924	10847	7089	7052	6926
Symbol variable.detail.varSymbolHelp ?	LULC	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
Qualitative-Quantitative variable.detail.continuousCategoricalHelp ?	Qualitative (Class, Rating or Ranking)	Qualitative (Class, Rating or Ranking)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)
Cardinal-Ordinal variable.detail.cardinalOrdinalHelp ?	Non-Ordinal	Non-Ordinal	Cardinal	Cardinal	Cardinal	Cardinal	Cardinal	Cardinal	Cardinal
Units variable.detail.varUnitsHelp ?	Not applicable	Not applicable	tons ha^-1	tons ha^-1	tons ha^-1	ton ha^-1	%	%	Not reported

Variable Typology

Name variable.detail.varNameHelp ?	Land use/land cover class ? Comment: A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Above ground carbon pool per LULC, Below ground carbon pool per LULC, and Dead organic matter carbon pool per LULC, per land use/land cover type.	Sub-watershed boundary	Above ground carbon pool per LULC ? Comment: "For above-ground biomass (AGB), we used data provided in Uryu et al.’s (2008) assessment of CO2 emissions in Riau province, supplemented with estimates for Jambi province (SEAMEO-BIOTROP, 1999) where available for a given LULC type. Uryu et al. (2008) estimated biomass values (ton ha-1) as medians of published (when possible, region-specific) biomass values for different LULC classes extracted from a literature search. Most of the LULC classes in Uryu et al. (2008) are consistent with those in our scenario maps, and the values were directly transferred in those cases. When a LULC class in our map did not appear in Uryu et al. (2008), we took the median value of similar classes (e.g., generic “plantation” and “forest” classes in our scenario maps were assigned the median values of all plantations and mature forest classes, respectively). We multiplied AGB by a factor of 0.47 (Table 4.3 in IPCC, 2006, Vol. 4) to convert biomass to ton ha-1 of carbon." This variable has set constant values determined by class of Land use/land cover.	Below ground carbon pool per LULC ? Comment: Below-ground biomass was calculated as a fraction of AGB, using root: shoot biomass ratios for tropical ecosystems provided in IPCC guidelines (Table 4.4. in IPCC, 2006, Vol. 4). This variable has set constant values determined by class of Land use/land cover.	Dead organic matter carbon pool per LULC ? Comment: For carbon stored in dead organic matter, we used estimates of carbon in leaf litter provided in IPCC (2006) (Table 2.2 in Vol. 2) for tropical ecosystems, assigning zero or downscaled values for human-modified or bare land uses. This variable has set constant values determined by class of Land use/land cover.	Soil carbon pool ? Comment: Soil carbon layer generated using the Harmonized World Soil Database (FAO/IIASA/ISRIC/ISSCAS/JRC, 2009). Where peat soils occur, the world soil layer was replaced with a peatland distribution layer from Wetlands International that includes spatially explicit estimates of peat carbon content (Wahyunto et al., 2003).	Average percent change in total carbon ? Comment: Value is the average change from 2008 to 2020 for each scenario for the study area, across all sub-watersheds.	Percent change in total carbon per sub-watershed ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Total carbon per sub-watershed ? Comment: Sub-watersheds were the smallest spatial grain at which results were reported. Results were reported as relative spatial distribution across the landscape, and relative change to scenarios rather than precise quantification. Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	Predictor	Predictor	Predictor	Predictor	Predictor	Predictor	Response	Response	Response
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	Time- or Space-varying Variable	Time- or Space-varying Variable	Constant or Parameter	Constant or Parameter	Constant or Parameter	Constant or Parameter	Not applicable	Not applicable	Not applicable
Response Variable Type variable.detail.resClassHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Computed Variable	Computed Variable	Computed Variable
Data Source/Type variable.detail.dataTypeHelp ?	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Derived as output of another model (and not found in a widely available database)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales)	Transferred Values (e.g., from literature; transferred spatially, temporally or across scales) ? Comment: Peat values (Wahyunto et al., 2003, Uryu et al., 2008)	Not applicable	Not applicable	Not applicable
Variable Classification Hierarchy variable.detail.vchLevel1Help ?	2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric	2. Land Surface (or Water Body) Cover, Use, Substrate, or Metric	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
	--Land use/land cover type or dominant habitat type	--Demarcation of watershed, channel, floodplain, shore, coastline, flowline	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components	--Chemical (C, N, P, sediment/particulate) characteristics of ecosystem components
	----Other, multiple, unspecified or unclear	----Watershed demarcation or dimension	----Carbon-related characteristics of ecosystem components	----Carbon-related characteristics of ecosystem components	----Carbon-related characteristics of ecosystem components	----Carbon-related characteristics of ecosystem components	----Carbon-related characteristics of ecosystem components	----Carbon-related characteristics of ecosystem components	----Carbon-related characteristics of ecosystem components
			------Carbon presence (in terrestrial or aquatic ecosystem components)	------Carbon presence (in terrestrial or aquatic ecosystem components)	------Carbon presence (in terrestrial or aquatic ecosystem components)	------Carbon presence (in terrestrial or aquatic ecosystem components)	------Carbon accumulation by terrestrial or aquatic ecosystem components	------Carbon accumulation by terrestrial or aquatic ecosystem components	------Carbon presence (in terrestrial or aquatic ecosystem components)

Variable Spatial Characteristics

Name variable.detail.varNameHelp ?	Land use/land cover class ? Comment: A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Above ground carbon pool per LULC, Below ground carbon pool per LULC, and Dead organic matter carbon pool per LULC, per land use/land cover type.	Sub-watershed boundary	Above ground carbon pool per LULC ? Comment: "For above-ground biomass (AGB), we used data provided in Uryu et al.’s (2008) assessment of CO2 emissions in Riau province, supplemented with estimates for Jambi province (SEAMEO-BIOTROP, 1999) where available for a given LULC type. Uryu et al. (2008) estimated biomass values (ton ha-1) as medians of published (when possible, region-specific) biomass values for different LULC classes extracted from a literature search. Most of the LULC classes in Uryu et al. (2008) are consistent with those in our scenario maps, and the values were directly transferred in those cases. When a LULC class in our map did not appear in Uryu et al. (2008), we took the median value of similar classes (e.g., generic “plantation” and “forest” classes in our scenario maps were assigned the median values of all plantations and mature forest classes, respectively). We multiplied AGB by a factor of 0.47 (Table 4.3 in IPCC, 2006, Vol. 4) to convert biomass to ton ha-1 of carbon." This variable has set constant values determined by class of Land use/land cover.	Below ground carbon pool per LULC ? Comment: Below-ground biomass was calculated as a fraction of AGB, using root: shoot biomass ratios for tropical ecosystems provided in IPCC guidelines (Table 4.4. in IPCC, 2006, Vol. 4). This variable has set constant values determined by class of Land use/land cover.	Dead organic matter carbon pool per LULC ? Comment: For carbon stored in dead organic matter, we used estimates of carbon in leaf litter provided in IPCC (2006) (Table 2.2 in Vol. 2) for tropical ecosystems, assigning zero or downscaled values for human-modified or bare land uses. This variable has set constant values determined by class of Land use/land cover.	Soil carbon pool ? Comment: Soil carbon layer generated using the Harmonized World Soil Database (FAO/IIASA/ISRIC/ISSCAS/JRC, 2009). Where peat soils occur, the world soil layer was replaced with a peatland distribution layer from Wetlands International that includes spatially explicit estimates of peat carbon content (Wahyunto et al., 2003).	Average percent change in total carbon ? Comment: Value is the average change from 2008 to 2020 for each scenario for the study area, across all sub-watersheds.	Percent change in total carbon per sub-watershed ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Total carbon per sub-watershed ? Comment: Sub-watersheds were the smallest spatial grain at which results were reported. Results were reported as relative spatial distribution across the landscape, and relative change to scenarios rather than precise quantification. Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Spatial Extent Area variable.detail.spExtentHelp ?	100,000-1,000,000 km^2	100,000-1,000,000 km^2	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	100,000-1,000,000 km^2	100,000-1,000,000 km^2	100,000-1,000,000 km^2
Spatially Distributed? variable.detail.spDistributedHelp ?	Yes	Yes	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	No	Yes	Yes
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	Yes	No	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	No	No
Spatial Grain Type variable.detail.spGrainTypeHelp ?	area, for pixel or radial feature	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Spatial Grain Size variable.detail.spGrainSizeHelp ?	30 m x 30 m	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Spatial Density variable.detail.spDensityHelp ?	Not applicable	6 watersheds divided into 68 sub-watersheds	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	aggregated to 68 sub-watersheds	aggregated to 68 sub-watersheds
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?		The Watershed Boundary Dataset (WBD)

Variable Temporal Characteristics

Name variable.detail.varNameHelp ?	Land use/land cover class ? Comment: A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Above ground carbon pool per LULC, Below ground carbon pool per LULC, and Dead organic matter carbon pool per LULC, per land use/land cover type.	Sub-watershed boundary	Above ground carbon pool per LULC ? Comment: "For above-ground biomass (AGB), we used data provided in Uryu et al.’s (2008) assessment of CO2 emissions in Riau province, supplemented with estimates for Jambi province (SEAMEO-BIOTROP, 1999) where available for a given LULC type. Uryu et al. (2008) estimated biomass values (ton ha-1) as medians of published (when possible, region-specific) biomass values for different LULC classes extracted from a literature search. Most of the LULC classes in Uryu et al. (2008) are consistent with those in our scenario maps, and the values were directly transferred in those cases. When a LULC class in our map did not appear in Uryu et al. (2008), we took the median value of similar classes (e.g., generic “plantation” and “forest” classes in our scenario maps were assigned the median values of all plantations and mature forest classes, respectively). We multiplied AGB by a factor of 0.47 (Table 4.3 in IPCC, 2006, Vol. 4) to convert biomass to ton ha-1 of carbon." This variable has set constant values determined by class of Land use/land cover.	Below ground carbon pool per LULC ? Comment: Below-ground biomass was calculated as a fraction of AGB, using root: shoot biomass ratios for tropical ecosystems provided in IPCC guidelines (Table 4.4. in IPCC, 2006, Vol. 4). This variable has set constant values determined by class of Land use/land cover.	Dead organic matter carbon pool per LULC ? Comment: For carbon stored in dead organic matter, we used estimates of carbon in leaf litter provided in IPCC (2006) (Table 2.2 in Vol. 2) for tropical ecosystems, assigning zero or downscaled values for human-modified or bare land uses. This variable has set constant values determined by class of Land use/land cover.	Soil carbon pool ? Comment: Soil carbon layer generated using the Harmonized World Soil Database (FAO/IIASA/ISRIC/ISSCAS/JRC, 2009). Where peat soils occur, the world soil layer was replaced with a peatland distribution layer from Wetlands International that includes spatially explicit estimates of peat carbon content (Wahyunto et al., 2003).	Average percent change in total carbon ? Comment: Value is the average change from 2008 to 2020 for each scenario for the study area, across all sub-watersheds.	Percent change in total carbon per sub-watershed ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Total carbon per sub-watershed ? Comment: Sub-watersheds were the smallest spatial grain at which results were reported. Results were reported as relative spatial distribution across the landscape, and relative change to scenarios rather than precise quantification. Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Temporal Extent variable.detail.tempExtentHelp ?	2008-2020	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	2008-2020	2008-2020	2008-2020
Temporally Distributed? variable.detail.tempDistributedHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Temporal Density variable.detail.tempDensityHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable

Variable Values

Name variable.detail.varNameHelp ?	Land use/land cover class ? Comment: A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Above ground carbon pool per LULC, Below ground carbon pool per LULC, and Dead organic matter carbon pool per LULC, per land use/land cover type.	Sub-watershed boundary	Above ground carbon pool per LULC ? Comment: "For above-ground biomass (AGB), we used data provided in Uryu et al.’s (2008) assessment of CO2 emissions in Riau province, supplemented with estimates for Jambi province (SEAMEO-BIOTROP, 1999) where available for a given LULC type. Uryu et al. (2008) estimated biomass values (ton ha-1) as medians of published (when possible, region-specific) biomass values for different LULC classes extracted from a literature search. Most of the LULC classes in Uryu et al. (2008) are consistent with those in our scenario maps, and the values were directly transferred in those cases. When a LULC class in our map did not appear in Uryu et al. (2008), we took the median value of similar classes (e.g., generic “plantation” and “forest” classes in our scenario maps were assigned the median values of all plantations and mature forest classes, respectively). We multiplied AGB by a factor of 0.47 (Table 4.3 in IPCC, 2006, Vol. 4) to convert biomass to ton ha-1 of carbon." This variable has set constant values determined by class of Land use/land cover.	Below ground carbon pool per LULC ? Comment: Below-ground biomass was calculated as a fraction of AGB, using root: shoot biomass ratios for tropical ecosystems provided in IPCC guidelines (Table 4.4. in IPCC, 2006, Vol. 4). This variable has set constant values determined by class of Land use/land cover.	Dead organic matter carbon pool per LULC ? Comment: For carbon stored in dead organic matter, we used estimates of carbon in leaf litter provided in IPCC (2006) (Table 2.2 in Vol. 2) for tropical ecosystems, assigning zero or downscaled values for human-modified or bare land uses. This variable has set constant values determined by class of Land use/land cover.	Soil carbon pool ? Comment: Soil carbon layer generated using the Harmonized World Soil Database (FAO/IIASA/ISRIC/ISSCAS/JRC, 2009). Where peat soils occur, the world soil layer was replaced with a peatland distribution layer from Wetlands International that includes spatially explicit estimates of peat carbon content (Wahyunto et al., 2003).	Average percent change in total carbon ? Comment: Value is the average change from 2008 to 2020 for each scenario for the study area, across all sub-watersheds.	Percent change in total carbon per sub-watershed ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Total carbon per sub-watershed ? Comment: Sub-watersheds were the smallest spatial grain at which results were reported. Results were reported as relative spatial distribution across the landscape, and relative change to scenarios rather than precise quantification. Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Units variable.detail.estUnitHelp ?	Not applicable	Not applicable	tons ha^-1	tons ha^-1	tons ha^-1	Not reported	Not reported	% ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Not reported ? Comment: Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Min Value variable.detail.minEstHelp ?	Not applicable	Not applicable	0	0	0	Not reported	Not reported	>-20	Not reported
Max Value variable.detail.estHelp ?	Not applicable	Not applicable	172.49	72.38	4.00	Not reported	Not reported	>20	Not reported
Other Value Type variable.detail.natureOtherEstHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Parameter value	Not applicable	Not applicable
Other Value variable.detail.otherEstHelp ?	Not applicable	Not applicable	Not reported	Not reported	Not reported	Not reported	Varies by Run; view Runs to see values	Not reported	Not reported

Variable Variability and Sensitivity

Name variable.detail.varNameHelp ?	Land use/land cover class ? Comment: A LULC map was obtained for the "baseline year of 2008 from WWF Indonesia, derived by manual classification of Landsat and IRS-P6 satellite imagery at 30 m resolution and validated through ground checks (Setiabudi and Budiman, 2008). The map contained 89 LULC classes (Appendix A)". "The Sumatra Ecosystem Vision scenario is based on the Sumatra 2020 Roadmap (Roosita et al., 2010), a vision for sustainable land use advanced by the Sumatra Spatial Planning Forum, a coalition of government officials, civil society representatives and academics. It delineates areas for conservation, restoration and development based on 9 spatial layers...The Government Spatial Plan scenario is based on zoning plans developed by the Indonesian Ministry of Public Works for the three provinces covering our study area (Riau, Jambi and West Sumatra) as mandated under Indonesia’s Spatial Planning law No. 26 / 2007 (Hudalah and Woltjer, 2007). These plans incorporate stakeholder input from the relevant provinces". Land use/land cover is a class driver variable that sets constant values for the variables; Above ground carbon pool per LULC, Below ground carbon pool per LULC, and Dead organic matter carbon pool per LULC, per land use/land cover type.	Sub-watershed boundary	Above ground carbon pool per LULC ? Comment: "For above-ground biomass (AGB), we used data provided in Uryu et al.’s (2008) assessment of CO2 emissions in Riau province, supplemented with estimates for Jambi province (SEAMEO-BIOTROP, 1999) where available for a given LULC type. Uryu et al. (2008) estimated biomass values (ton ha-1) as medians of published (when possible, region-specific) biomass values for different LULC classes extracted from a literature search. Most of the LULC classes in Uryu et al. (2008) are consistent with those in our scenario maps, and the values were directly transferred in those cases. When a LULC class in our map did not appear in Uryu et al. (2008), we took the median value of similar classes (e.g., generic “plantation” and “forest” classes in our scenario maps were assigned the median values of all plantations and mature forest classes, respectively). We multiplied AGB by a factor of 0.47 (Table 4.3 in IPCC, 2006, Vol. 4) to convert biomass to ton ha-1 of carbon." This variable has set constant values determined by class of Land use/land cover.	Below ground carbon pool per LULC ? Comment: Below-ground biomass was calculated as a fraction of AGB, using root: shoot biomass ratios for tropical ecosystems provided in IPCC guidelines (Table 4.4. in IPCC, 2006, Vol. 4). This variable has set constant values determined by class of Land use/land cover.	Dead organic matter carbon pool per LULC ? Comment: For carbon stored in dead organic matter, we used estimates of carbon in leaf litter provided in IPCC (2006) (Table 2.2 in Vol. 2) for tropical ecosystems, assigning zero or downscaled values for human-modified or bare land uses. This variable has set constant values determined by class of Land use/land cover.	Soil carbon pool ? Comment: Soil carbon layer generated using the Harmonized World Soil Database (FAO/IIASA/ISRIC/ISSCAS/JRC, 2009). Where peat soils occur, the world soil layer was replaced with a peatland distribution layer from Wetlands International that includes spatially explicit estimates of peat carbon content (Wahyunto et al., 2003).	Average percent change in total carbon ? Comment: Value is the average change from 2008 to 2020 for each scenario for the study area, across all sub-watersheds.	Percent change in total carbon per sub-watershed ? Comment: Percent change was mapped by sub-watershed coded in increments of: >20%, 5-20%, +/-5%, (-)5-20%, >-20%.	Total carbon per sub-watershed ? Comment: Sub-watersheds were the smallest spatial grain at which results were reported. Results were reported as relative spatial distribution across the landscape, and relative change to scenarios rather than precise quantification. Results were mapped at the sub-watershed level, with each sub-watershed assigned a shaded value based on quintile breaks. Specific modeled values were not reported.
Variability Expression Given? variable.detail.variabilityExpHelp ?	Not applicable	No	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	No	No	No
Variability Metric variable.detail.variabilityMetricHelp ?	None	None	None	None	None	None	None	None	None
Variability Value variable.detail.variabilityValueHelp ?	None	None	None	None	None	None	None	None	None
Variability Units	None	None	None	None	None	None	None	None	None
Resampling Used? variable.detail.bootstrappingHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable
Variability Expression Used in Modeling? variable.detail.variabilityUsedHelp ?	Not applicable	Not applicable	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not recorded for Constant or Factor Variables	Not applicable	Not applicable	Not applicable

Variable Operational Validation (Response Variables only)

Name variable.detail.varNameHelp ?	Average percent change in total carbon	Percent change in total carbon per sub-watershed	Total carbon per sub-watershed
Variable ID variable.detail.varIdHelp ?	7089	7052	6926
Validated? variable.detail.resValidatedHelp ?	Not applicable	Not applicable	Not applicable
Validation Approach (within, between, etc.) variable.detail.validationApproachHelp ?	None	None	None
Validation Quality (Qual/Quant) variable.detail.validationQualityHelp ?	None	None	None
Validation Method (Stat/Deviance) variable.detail.validationMethodHelp ?	None	None	None
Validation Metric variable.detail.validationMetricHelp ?	None	None	None
Validation Value variable.detail.validationValHelp ?	None	None	None
Validation Units	None	None	None
Use of Measured Response Data variable.detail.measuredResponseDataHelp ?	None	None	None