Modeling deforestation baselines using GEOMOD - Instituto ...

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Finalizing Avoided Deforestation Baselines Figure 14. Vegetation map for the state of Michoacan. The region Meseta Purepecha and corresponding municipalities are outlined in black. Altitud 0 10km Figure 15. Schematic of Tancitaro volcano, in the subregion Tancitaro with indication of elevation. Winrock International A- 28
Finalizing Avoided Deforestation Baselines V.B. Data The data acquired mostly from INEGI included: • Roads. • Hydrography • Digital coverage of elevation contours • Soils classified by type • Community locations, including locations of the main towns in each municipio • Municipio boundaries • Protected area locations • Meteorological data, including mean minimum and mean maximum temperature, and precipitation measurements for both times (wet and dry season) Table 12: Legend showing vegetation types found in the Purépecha area and the classes to which they were assigned for modeling purposes (1 = forest, 2 = deforested, 0 = outside the study area) Cat ID Land Use/Land Cover Model Category 1 Agricultura /Agriculture 2 2 Agricultura de temporal/Permanent crops (orchards) 2 3 Area sin vegetacion aparente/ without vegetation 2 4 Area urbana/ Urban areas 2 5 Bosque con vegetacion secundaria/Sec forest 1 6 Bosque de Encino/ Oak forest 1 7 Bosque de Oyamel /Oyamel forest 1 8 Bosque de Pino /Pine forest 1 9 Bosque de Pino-encino/ Pine-oak forest 1 10 Cuerpos de agua/Water bodies 0 11 Matorral/Shrubs 2 12 Pastizal/Pasture 2 13 Plantacion forestal/ Reforestation 1 14 Otros tipos/Another 0 15 Sin Clasificacion/ Without classification 0 V.C. Data preparation All maps were analyzed for spatial congruence with each other and converted where necessary. All vector data were gridded in ESRI’s ARCVIEW 3.2 to match the grid proportions and resolution of the three time periods. These consist of 914 rows by 1245 columns, with a grid cell resolution of 100 meters by 100 meters. Elevation values ranged from 621 to 3821 meters. From the grid we calculated a slope and aspect map of the region. We then reclassified each land use map, the soils map, and the municipio map to represent land (1) and non-land (0) in order to create a ‘MASK’ that would ensure that information was available for analysis on all input maps. We did this by overlaying the binary maps until only non-zero cells coinciding on all maps remained. The final mask, therefore, included only those areas that were consistently identified as “land” in all maps. Finally the mask excluded two protected areas not included in the analysis. We created grid maps in ARCVIEW of the community and municipal seats (sedes) shape files and calculated distance from communities, municipal seats, rivers, roads and navigable water. Each ‘distance’ Winrock International A- 29
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