The main objective of this research is to analyze deforestation in State Sinaloa during the period 1990-2014. For this, "deforestationhot-spot areas" were identified, by crossing maps of 1993 and 2011 at a 1:250,000 scale with knowledge from environmental and forest experts from each region. Landsat images from 1990 and 2014 and Terra Amazon System were used to monitor the most critical hot spot area, applying Linear Spectral Mixture Analysis and Image Segmentation Ground Product. In order to generate the map deforestation year zero (1990), every segmented object of ground product was visually assigned to "Forest" and "No-Forest" categories. Therefore, gains and losses were interpreted for the map deforestation year one (2014). Those products were validated with the help of experts on the subject and applying a confusion matrix. Results obtained indicated that the highest forest loss was located in North-Central Sinaloa (hot spot area number two) by establishing the average annual rate of deforestation of 4741.90 ha/year with an average rate of 0.60%, being higher than the national average rate (0.37%). This result affects directlyon calculation of carbonfluxes at nationallevel.

In the last years the whole planet has been suffering remarkable changes, including the land use and cover, and that this is one of the many components of the global change. The present study has as main objective described the changes of land use and cover occurred in the State of Sinaloa during the period 1976-2011. For this, we used 4 maps of land use and vegetation of 1976, 1993, 2007 and 2011. This analysis was carried out applying statistical techniques and Geographic Information Systems (GIS). The methodology is based on the analysis of the cross-tabulation matrix or change matrix, from which it is possible to obtain indicators of change for each time interval analyzed (1976-1993, 1993-2007 and 2007-2011), as well as the gain and loss of each of the 10 categories contained in the maps. To raise the level of details in the analysis were studied the annual changes considering for this the intensity of the gains and annual losses. Also we elaborated graphs and maps that allow us describing and identifying the magnitude and spatial distribution of the changes. The results obtained show a deterioration in the rainforest, important changes in the irrigated and seasonal agriculture and the spatial exchanges in the forest areas, as well as a considerable increase in the urban areas.

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Actualmente las transformaciones de los usos de suelo están impactando de manera contundente los diferentes ecosistemas y su biodiversidad. Es por ello que resulta importante plantear modelos territoriales de futuro para visualizar el comportamiento de los diferentes usos y coberturas de suelo, con la finalidad de poder tomar decisiones a nivel territorial y que estos sean un instrumento valioso para sensibilizar y establecer estrategias de protección de los recursos naturales municipales, estatales, nacionales y globales. La generación y simulación de escenarios exploratorios futuros es un instrumento útil en los procesos de planificación y toma de decisiones, de especial relevancia en el ámbito territorial y metropolitano. Para la generación de escenarios futuros, es necesario en primer lugar, simular o calcular la demanda de superficie que debe de tener cada uso de suelo en el o los diferentes escenarios planteados. En este trabajo se presenta un modelo basado en Dinámica de Sistemas para estimar las demandas que diferentes categorías de usos de suelo deberán de tener en un escenario planteado. El modelo se ha desarrollado concretamente para los municipios de Navolato y Culiacán, Sinaloa, México.