1. Stacie Wolny, Gregg Verutes

3. Have all data in the same projected coordinate system Spatial input layers Choose an appropriate number of land cover classes - 1 agriculture class vs multiple crop types Use an appropriate resolution for your goals - Detail/scenarios/speed 100m Stream buffers 10/20/30m Check the units

4. Prepare the DEM Fill holes Burn streams Fill sinks Compare watersheds or Make watersheds with ArcHydro/ArcSWAT/AGWA

6. Compare change * / percent change Return on Investment - Tulua Total budget (US$ millions) Guabas Percent change can be very useful…

7. Symbology * Symbolizing across multiple layers: Symbology -> Import Splitting up +/- rasters N Retention Scenario 1Scenario 2 N Retention Scenario 2.1 N Retention

8. Compare tradeoffs between services Carbon Storage Water Quality Water Yield Income Biofuels Subdivision Ag & Forestry

9. Compare tradeoffs between services Carbon Storage Water Quality Water Yield Income Biofuels Subdivision Ag & Forestry

10. 0 1.0 Rank across multiple services x 1 x 2 + Water yield Sediment retention = Total Relative ES provision 0.35

11. Aggregating results Can aggregate within countries, parcels, land cover classes, etc Make sure that your data covers the whole area of interest Serviceshed: A specific area that provides a service to a group of people Hydrology: watershed Pollination: foraging range Recreation: travel distance If servicesheds overlap, total service > supply

13. Overlay with other data Carbon stock + tiger habitat

14. Overlay with other data 5000 % ! % difference in services between TCLs and rest of landscape in 2008

15. Uncertainty / Calibration Uncertainty: Run model with min, max, mean inputs to get the range Calibrate: For annual models, use time-sensitive inputs (like climate) averaged over 10 years if possible. Compare with measured data. Nitrogen loading, Hainan, China