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GIS and Remote Sensing for Mapping Species Spatial Distributions: GIS and Remote Sensing for Natural Resources Management - Couverture souple

Demisse, Getachew Berhan

 
9783846542125: GIS and Remote Sensing for Mapping Species Spatial Distributions: GIS and Remote Sensing for Natural Resources Management
Couverture souple
ISBN 10 : 3846542121 ISBN 13 : 9783846542125
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Relatively little attention is currently given to the issue of biodiversity loss in savannah ecosystems and only a limited range of methods have been developed for the assessment and management of this issue. The aim of this study was to contribute to a better understanding of dry land woody species biodiversity and to test if woody species biodiversity assessment can be performed using remote sensing and geostatistics. The research was undertaken on an experimental site in the Serowe area, Botswana. A total of 169 sample plots were collected and analyzed. An importance value index (IVI), which is the summation of relative frequency, relative density and relative basal area, was used to select the dominant species of the area. The applicability of IKONOS imagery data and geostatistical techniques for savannah woody species biodiversity assessment were tested. A total of 33 woody species, which belong to 25 genera and 18 families, were identified. Two vegetation types were identified: dense savannah (SAD) and open savannah (SAO). The tree stems density was significantly higher (t-test, t=-4.39, d.f=167, p>0.001) in SAD than in SAO. According to the IVI criteria, the dominant species.

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Présentation de l'éditeur

Relatively little attention is currently given to the issue of biodiversity loss in savannah ecosystems and only a limited range of methods have been developed for the assessment and management of this issue. The aim of this study was to contribute to a better understanding of dry land woody species biodiversity and to test if woody species biodiversity assessment can be performed using remote sensing and geostatistics. The research was undertaken on an experimental site in the Serowe area, Botswana. A total of 169 sample plots were collected and analyzed. An importance value index (IVI), which is the summation of relative frequency, relative density and relative basal area, was used to select the dominant species of the area. The applicability of IKONOS imagery data and geostatistical techniques for savannah woody species biodiversity assessment were tested. A total of 33 woody species, which belong to 25 genera and 18 families, were identified. Two vegetation types were identified: dense savannah (SAD) and open savannah (SAO). The tree stems density was significantly higher (t-test, t=-4.39, d.f=167, p>0.001) in SAD than in SAO. According to the IVI criteria, the dominant species.

Biographie de l'auteur

Getachew Berhan received his MSc in Geo-information Science and Earth Observation from International Institute for Geo-information Science and Earth Observation (ITC), The Netherlands in 2006. Currently, Getachew is PhD student under IT PhD Program, Information Systems Track in Addis Ababa University, Ethiopia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3846542121
ISBN 13 
9783846542125
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
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