Dinámica y modelamiento futuro de los cambios y fragmentaciones en la cobertura y uso del suelo de la Región Sur de Ecuador en el periodo 2000 - 2016
The multitemporal analysis was made with the information obtained from the Interactive Environmental Map presented by the MAE, through land cover and land use maps of the years 2000 and 2016, in which 175 013 hectares of native forest were lost, the moorland presented gains of 1 984 hectares. Possib...
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| Формат: | bachelorThesis |
| Язык: | spa |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | http://dspace.unl.edu.ec/jspui/handle/123456789/21862 |
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Добавить метку | Итог: | The multitemporal analysis was made with the information obtained from the Interactive Environmental Map presented by the MAE, through land cover and land use maps of the years 2000 and 2016, in which 175 013 hectares of native forest were lost, the moorland presented gains of 1 984 hectares. Possibly by the Socio Bosque Programs implemented since 2008, the shrub vegetation increased 81 205 hectares and the herbaceous vegetation lost 10 360 hectares. Fragmentation was determined in the FRAGSTAST Software at the class level with five metrics: number of patches, density of patches, index of the longest patch, average area of the patches and index of form. When considering the numbers of patches as the main indicator of fragmentation, it can be considered that from the year 2000 to 2016 natural coverage showed a decrease in terms of fragmentation, where the native forest decreased 1%, likewise the moorland 58.3%, 55.5% in shrub vegetation and 66.6% in herbaceous vegetation. In contrast, the connectivity was analyzed in the GUIDOS software through the MSPA, in the same period, in relation to the native forest increased the area of the bridges by 17.1%, the moorland decreased by 39%, the shrub vegetation presented a decrease of 3.7%, the herbaceous vegetation also a decrease of 8.8% in the surface of the bridges. The future modeling was carried out in the TerrSet software, using the Land Change Modeler extension for the year 2030 established by the IPCC. Where the natural areas would be altered with a very high probability, affecting 4.51% of the forest area, moorland would change the 9.19%, the shrub and herbaceous vegetation would change its surface in 2.51 and 0.63% respectively. Keywords: Deforestation, temporary analysis, fragmentation, connectivity, future modeling. |
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