A geospatial data integration framework for mapping and monitoring tropical landscape diversity in Costa Rica's San Juan-La Selva Biological Corridor
Por: Sesnie, S.E
| CATIE - Centro Agronómico Tropical de Investigación y Enseñanza Turrialba, Costa Rica [autor/a]
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Tipo de material:
TextoEditor: Turrialba, Costa Rica Centro Agronómico Tropical de Investigación y Enseñanza (CATIE) 2006Descripción: 154 p.Tema(s): SISTEMAS DE INFORMACION GEOGRAFICA| Tipo de ítem | Ubicación actual | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras |
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Documento digital
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Biblioteca Conmemorativa Orton | Colección CATIE | Thesis S593 (Navegar estantería) | Disponible | BCO22068885 | |
Documento impreso
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Biblioteca Conmemorativa Orton | Colección general | Disponible | 107323 c.2 | ||
Documento impreso
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Biblioteca Conmemorativa Orton | Colección general | Disponible | 107322 |
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Tesis (Ph. D.)
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Landcover change has substantially reduced the amount of tropical rain forests since the 1950s. Little is known about the extent of remaining forest types. A multivariate analysis of 144 forest plots across Costa Rica's San Juan-La Selva Biological Corridor resulted in eight floristically defined old-growth forest categories. Spectral separability was tested between categories using Landsat TM bands and vegetation indices for old-growth types, palm swamps, tree plantations and regrowth. Image filtering and NDVI increased spectral separability among categories by 30 per cent. Separability tests resulted in seven well-discriminated forest categories. Factors driving forest beta-diversity are not well quantified for wet tropical environments. We examined the relationship between rain forest composition and environmental variation for a 3000 km2 area in northeastern Costa Rica.


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