Abstract
The municipality of La Huacana in the Mexican state of Michoacàn, is currently undergoing a process of intense land use change, which has severe environmental repercussions. This dry tropical region has a high rate of population emigration leading to the abandonment of crop land, largely due to the low agricultural yields. At the same time small-estate holders are converting the forest cover to pasture. All of these topics have resulted in land degradation and increased water depletion, which are already some of the most severe problems in the region.
Landsat and ASTER images dated 2000, 2003 and 2006 were classified in order to generate land use/cover maps of the municipality. Then, we modeled land use/cover changes using DINAMICA, a spatially explicit model for land cover change modelling. The selection of the variables used to explain the land use/cover transitions was determined using the information obtained in a workshop carried out on the Rural Development Council Assembly along with a statistical analysis based upon the land use/cover changes maps for the period 2000-2003 derived from the remotely sensed data. The 2006 land use/cover map obtained through the model calibrated on 2000-2003 data was compared with the map derived from 2006 ASTER images analysis. This comparison showed a reasonable performance of the model. As the next step, the model was used to mimic three possible scenarios for 2015 that encompass a plausible range of future trajectories of deforestation. The first one assumes that 2000-2003 deforestation trends will continue, the “cattle” scenario assumes that deforestation rates will increase and finally the “sustainable” scenario assumes that the communities will implement protected areas and that deforestation due to cattle ranching will decrease.
The perspective of local inhabitants and authorities was useful to conceptualize the model. Showing the different scenarios to the community and local authorities could be a valuable tool for making future decisions and to become aware of the need to establish strategies to protect the community’s resources.
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References
Almeida CM, Batty M, Monteiro AMV, Cámara G, Soares-Filho BS, Cerqueira GC, Lopes Pennachin C (2003) Stochastic cellular automata modeling of urban land use dynamics: empirical development and estimation. Computers, Environment and Urban Systems 27(5), pp 481-509
Almeida CM, Monteiro AMV, Cámara G, Soares-Filho BS, Cerqueira GC, Pennachin CL et al. (2005) GIS and remote sensing as tools for the simulation of urban land-use change. International Journal of Remote Sensing 26(4), pp 759-774
Bell EJ, Hinoja RC (1977) Markov analysis of land use change: continuous time and stationary processes. Socio-Economic Planning Sciences 11, pp 13–17
Bocco G, Mendoza M, Masera OR (2001) La dinámica del cambio del uso del suelo en Michoacán. Una propuesta metodológica para el estudio de los procesos de deforestación. Investigaciones Geográficas 44, pp 18-38 http://www.igeograf.unam.mx/instituto/publicaciones/boletin/bol44/b44art2. pdf (accessed 15 oct. 2007)
Bonham-Carter GF (1994) Geographic information systems for geoscientists: Modelling with GIS (Vol 13). New York: Pergamon
Briassoulis H (2000) Analysis of Land Use Change: Theoretical and Modelling Approaches. Retrieved September 2006, from www.rri.wvu.edu/regscweb.htm (accessed 5 March 2007)
Burgos A, Maass JM (2004) Vegetation change associated with land-use in tropical dry forest areas of Western Mexico. Agriculture, Ecosystems & Environment 104(3), pp 475-481
Chowdhury RR (2006) Driving forces of tropical deforestation: The role of remote sensing and spatial models. Singapore Journal of Tropical Geography 27(1), pp 82-101
CONAPO (2000) Índice de marginación por localidad 2000. México
Costanza R (1989) Model goodness of fit: a multiple resolution procedure. Ecological Modelling 47, pp 199-215
Couturier S, Mas JF, Cuevas G, Benítez J, Vega A, Tapia V (2007) A thematic-focused accuracy assessment of land cover maps for highly biodiverse regions. Photogrammetric Engineering and Remote Sensing (in press)
Cuevas G (2007) The applicability of a stochastic-dynamic model of land use change in a Mexican dry tropical region. MSc Thesis. Enschede, ITC
FAO (1996) Forest resources assessment 1990. Survey of tropical forest cover and study of change processes. Food and Agriculture Organization. FAO forestry paper 130, 152 pp
Geist HJ, Lambin EF (2001) What drives tropical deforestation? A meta-analysis of proximate and underlying causes of deforestation based on subnational case study evidence. Retrieved 5 March 2007, from http://www.geo.ucl.ac.be/LUCC/pdf/LUCC%20Report%20-%20Screen.pdf.
Hagen A (2003) Fuzzy set approach to assessing similarity of categorical maps. International Journal of Geographical Information Science 17(3), pp 235-249
INEGI (2000) Censo de población y vivienda 2000. Aguascalientes, México
Kaimowitz DAA (1998) Economic Models of Tropical Deforestation: A Review. Centre for International Forestry Research: Jakarta
López E, Bocco G, Mendoza M, Velázquez A, Rogelio Aguirre-Rivera J (2006) Peasant emigration and land-use change at the watershed level: A GIS-based approach in Central Mexico. Agricultural Systems 90(1-3), pp 62-78
Lu D, Mausel P, Brondízio E, Moran E (2004) Change detection techniques. International Journal of Remote Sensing 25(12), pp 2365-2407
Mas JF, Velásquez A, Díaz-Gallegos JR, Mayorga-Saucedo R, Alcántara C, Bocco G, Castro R, Fernández T, Pérez-Vega A (2004) Assessing land use/cover changes: a nationwide multidate spatial database for Mexico. International Journal of Applied Earth Observation and Geoinformation 5(4), pp 249-261
Paegelow M, Camacho Olmedo MT (2005) Possibilities and limits of prospective GIS land cover modelling - a compared case study: Garrotxes (France) and Alta Alpujarra Granadina (Spain). International Journal of Geographical Information Science 19(6), pp 697-722
Pontius RG Jr (2002) Statistical Methods to Partition Effects of Quantity and Location During Comparison of Categorical Maps at Multiple Resolutions. Photogrammetric Engineering & Remote Sensing 68(10), pp 1041-1049
Power C, Simms A, White R (2001) Hierarchical fuzzy pattern matching for the regional comparison of Land Use Maps. International Journal of Geographical Information Science 15(1), pp 77-100
Rzedowski J (1986) Vegetación de México. Mexico, DF: Limusa
Sheppard SRJ (2005) Landscape visualisation and climate change: the potential for influencing perceptions and behaviour. Environmental Science & Policy 8, pp 637–654
Soares-Filho B, Coutinho Cerqueira G, Lopes Pennachin C (2002) DINAMICA - A stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecological Modelling 154(3), pp 217-235
Stock C, Bishop ID, Green R (2007) Exploring landscape changes using an envisioning system in rural community workshops. Landscape and Urban Planning 79, pp 229-239
Trejo I, Dirzo R (2000) Deforestation of seasonally dry tropical forest: a national and local analysis in Mexico. Biological Conservation 94(2), pp 133-142
Vidal ZR (2005) Las regiones climáticas de México (Vol. I.2.2) México: Instituto de Geografía, Universidad Nacional Autónoma de México (UNAM)
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Cuevas, G., Mas, JF. (2008). Land use scenarios: a communication tool with local communities. In: Paegelow, M., Olmedo, M.T.C. (eds) Modelling Environmental Dynamics. Environmental Science and Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68498-5_8
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DOI: https://doi.org/10.1007/978-3-540-68498-5_8
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