1. Watershed analysis in Guatemala Including collected and generated data for Guatemala as well as some basic regional statistics calculated for the 40 major watersheds. Maps prepared by the Spatial Information and Analysis Group, DECRG, World Bank September 2001 Data sources, too numerous to mention…..sorry!

2. Municipios Colours represent departments, municipal boundaries shaded in gray.

3. 40 Major Watersheds Rio Paz Watershed

4. LandSat ETM images Rio Paz Watershed

5. Elevation

6. Terrain Typology Plains - Greens Lowlands - Yellows Hills - Red Mountains - Grey High Mountains - White

7. Land Cover Forests - Green Agriculture - Light Yellow Water - Blue Other - Pink Urban - Red

8. Population Density

9. Poverty Rate (General) Low - Green Medium - Yellow High - Orange Critical - Red

10. Poverty (General) Population per municipio classified as being poor

11. Poverty Rate (Extreme) Low - Green Medium - Yellow High - Orange Critical - Red

12. Poverty (Extreme) Population per municipio classified as being extremely poor

13. Forest / Agri. on Slopes Forests - Green Agriculture - Orange

14. Defining upper watershed areas 5 example methods 1) Use an elevation cut off across the region 2) Split each watershed into 3 based on elevation 3) Derive 3 terrain types (Meybeck) across the region 4) Use a flow length cut off across the region 5) Split each watershed into 3 based on flow length

15. 1) Elevation - Region Low - Green Mid - Yellow High - Grey

16. 2) Elevation - By shed Low - Green Mid - Yellow High - Grey

17. 3) Terrain - Region Low - Green Mid - Yellow High - Grey

18. 4) Flowlength - Region Low - Green Mid - Yellow High - Grey

19. 5) Flowlength - By shed Low - Green Mid - Yellow High - Grey

20. Comparing the 5 examples How much land is in each region? % area in each region 0% 10% 20% 30% 40% 50% 60% 70% LowMidHigh Elev-Region Elev-Shed Terrain-Region Flow-Region Flow-Shed

21. Comparing the 5 examples How many people are in each region? Population in each region - 1,000,000 2,000,000 3,000,000 4,000,000 5,000,000 6,000,000 7,000,000 8,000,000 9,000,000 LowMidHigh Elev-Region Elev-Shed Terrain-Region Flow-Region Flow-Shed

22. Comparing the 5 examples How many poor are in each region? Poor (General) in each region - 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000 3,500,000 4,000,000 4,500,000 LowMidHigh Elev-Region Elev-Shed Terrain-Region Flow-Region Flow-Shed

23. Comparing the 5 examples How much forest is in each region? km 2 of forest per region - 5,000 10,000 15,000 20,000 25,000 30,000 LowMidHigh Elev-Region Elev-Shed Terrain-Region Flow-Region Flow-Shed

24. Defining upper watershed areas There is a lot of variation across the 5 methods methods 2 and 5 (that split each watershed into 3) consistently give high values in the high region, methods 1 and 4 consistently give low values in the high regions method 3 consistently gives values that lie in between Taking method 3 as an example….

25. ClassArea (km 2 ) Agriculture (km 2 )Forest (km 2 ) Low62,175 (57%) 30,668 (58%)27,438 (57%) Mid16,958 (16%) 9,416 (18%) 5,830 (12%) High29,297 (27%)12,698 (24%)15,128 (31%) Total 108,429 52,781 48,395 Defining High / Mid / Low lands Using Method 3: Terrain Typologies (Meybeck et al. 2001) ClassPopulation (2000)Poverty (General)Poverty (Extreme) Low2,498,093 (22%)1,552,135 (25%) 542,990 (21%) Mid3,197,987 (28%) 1,187,251 (19%) 430,058 (17%) High5,694,926 (50%) 3,494,186 (56%) 1,621,909 (63%) Tot 11,391,006 6,233,572 2,594,956 Population estimated for year 2000 per municipality, (MAGA / BID) Poverty rates per municipality from official Guatemala poverty map (SEGEPLAN / World Bank)

26. Selecting watersheds to analyse We could remove a certain number of watersheds by imposing criteria such as We are only interested in watersheds that have > 20% of there area classified as ‘high’. Taking method 3 as an example, this would remove all low lying watersheds

27. Selected Watersheds Selected watersheds shaded in yellow