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Figures

Figures. Can show annual change : 3 panels, 1 for % change in global sum of supply relative to 1996; 1 for service; 1 for value as possible for full set of services

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Figures

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  1. Figures • Can show annual change: 3 panels, 1 for % change in global sum of supply relative to 1996; 1 for service; 1 for value as possible for full set of services • Can show different metrics, and they show different patterns: 3 panels for 3 continents, change over the decade for supply, service, value; 2 panels for globe, timber change over decade for service and value • Can show the system is relevant: 5(?) panels, carbon (service or value?) globally with change in our decade vs. past decade, indicating significance; crops (service or value?) globally with 1 yr % change relative to decade average (1996-2005); livestock protein vs. Human need; timber supply minus service, then compared to degradation; water (maybe not a map?)

  2. To do • Hydropower • Check price data (S) • Check on dams already incorporated into LPJ, find out how done and if matches with actual watersheds-use this if possible!! (P) • If can’t use LPJ with dams, Complete watersheds and validate (S) • Correct LPJ water yield estimates for urban consumptive use, combine that with ag extracted yield from LPJ (S, P) (we need both full yield and yield-irrigation) • Do usability check (S) • Crops • Correlate FAO and LPJ, if good, use FAO for maps (P) • If we use 13 crops, check IFPRI (S-Danny) • Do fitness for use and figure, can we pick up an extreme year somewhere on the globe?(P) • Livestock • Do usability analyses and figure (S-Danny and Bob) • Timber • Do usability analyses and figure (convert carbon to roundwood, compare to degradation rates). Can we detect unsustainable forestry at the national scale? (P) • Carbon • -Do usability analyses, compare annual change rates to LPJ change rates (P). Is our modeling giving us comparable signal to observations (same interannual variability)? • Run carbon valuation (S) • Compile all to figures (S-danny)

  3. Workplan • End of March – carbon yearly data to Stanford • May – conference call to check in on coordinated work • June – all supply info to Stanford for service/value calcs • Mid-August-all data to Danny • Sept – conference call to talk about completed figures, paper • Dec – submit paper

  4. Paper Outline • Introduction: • What’s needed for GEO BON, modeling and national stats as one component • For multiple services and metrics, see where in space, and how changes over time. (would we include table of metrics here for extensive list? Then say we’re did subset?) • One example of how this can be done, with one set of models; why this set of services? • Compare to what TEEB said was possible • Methods: • LPJml • FAO • InVEST • Any additional methods for determining utility • Results: • Figs 1 and 2 • Discussion • Fig 3 and implications and uses • Outstanding needs – major data issues (and revisit table saying further to go for more services?). Be clear on how this could be done and that it would fill needs for both GOE/GEOSS and CBD reporting

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