Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds

The spatial distribution of seabird nests present on Malpelo Island, the main characteristics of the islandʼs topography, and the types of substratum available for nesting were addressed using a Digital Elevation Model (DEM). The model is based on data from remote sensors (satellite images, aerial photography and panoramic photography), and from field data processed through a geographical information system. The nests of Sula granti prevail on the surfaces of Malpelo Island and neighboring islets, while those of the remaining species (S. sula, Creagrus furcatus, Anous stolidus, A. minutus and Gygis alba) are spatially restricted to the cliff margins and to crevices or caverns at different heights. The presence of terrestrial predators and predatory birds (Fregata spp.) seems to mainly explain the marginal distribution of other breeding species. The cartographic data presented here differ significantly from past and current representations, especially those concerning the islandʼs emerged surface and other geomorphologic features. This new cartographical information will support future studies on the terrestrial fauna and flora of Malpelo Island and its islets.

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Bibliographic Details
Main Authors: López-Victoria, M., Rozo, D.M.
Format: Journal Contribution biblioteca
Language:English
Published: INVEMAR, Santa Marta, Colombia 2006
Subjects:Geographical distribution, Marine birds, Nests,
Online Access:http://hdl.handle.net/1834/1970
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spelling dig-aquadocs-1834-19702021-05-19T06:32:48Z Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds Modelación geomorfológica de la Isla Malpelo y distribución espacial de aves marinas anidantes López-Victoria, M. Rozo, D.M. Geographical distribution Marine birds Nests Geographical distribution The spatial distribution of seabird nests present on Malpelo Island, the main characteristics of the islandʼs topography, and the types of substratum available for nesting were addressed using a Digital Elevation Model (DEM). The model is based on data from remote sensors (satellite images, aerial photography and panoramic photography), and from field data processed through a geographical information system. The nests of Sula granti prevail on the surfaces of Malpelo Island and neighboring islets, while those of the remaining species (S. sula, Creagrus furcatus, Anous stolidus, A. minutus and Gygis alba) are spatially restricted to the cliff margins and to crevices or caverns at different heights. The presence of terrestrial predators and predatory birds (Fregata spp.) seems to mainly explain the marginal distribution of other breeding species. The cartographic data presented here differ significantly from past and current representations, especially those concerning the islandʼs emerged surface and other geomorphologic features. This new cartographical information will support future studies on the terrestrial fauna and flora of Malpelo Island and its islets. Published Seabirds, Nest distribution, Digital Elevation Model 2007-10-22T08:39:19Z 2007-10-22T08:39:19Z 2006 Journal Contribution Boletín de investigaciones marinas y costeras, 35. p. 111-131 0122-9761 http://hdl.handle.net/1834/1970 en http://www.invemar.org.co/siad/descarga.jsp?type=documento&id=453 Malpelo island Colombia INVEMAR, Santa Marta, Colombia
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Geographical distribution
Marine birds
Nests
Geographical distribution
Geographical distribution
Marine birds
Nests
Geographical distribution
spellingShingle Geographical distribution
Marine birds
Nests
Geographical distribution
Geographical distribution
Marine birds
Nests
Geographical distribution
López-Victoria, M.
Rozo, D.M.
Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds
description The spatial distribution of seabird nests present on Malpelo Island, the main characteristics of the islandʼs topography, and the types of substratum available for nesting were addressed using a Digital Elevation Model (DEM). The model is based on data from remote sensors (satellite images, aerial photography and panoramic photography), and from field data processed through a geographical information system. The nests of Sula granti prevail on the surfaces of Malpelo Island and neighboring islets, while those of the remaining species (S. sula, Creagrus furcatus, Anous stolidus, A. minutus and Gygis alba) are spatially restricted to the cliff margins and to crevices or caverns at different heights. The presence of terrestrial predators and predatory birds (Fregata spp.) seems to mainly explain the marginal distribution of other breeding species. The cartographic data presented here differ significantly from past and current representations, especially those concerning the islandʼs emerged surface and other geomorphologic features. This new cartographical information will support future studies on the terrestrial fauna and flora of Malpelo Island and its islets.
format Journal Contribution
topic_facet Geographical distribution
Marine birds
Nests
Geographical distribution
author López-Victoria, M.
Rozo, D.M.
author_facet López-Victoria, M.
Rozo, D.M.
author_sort López-Victoria, M.
title Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds
title_short Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds
title_full Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds
title_fullStr Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds
title_full_unstemmed Model-based geomorphology of Malpelo Island and spatial distribution of breeding seabirds
title_sort model-based geomorphology of malpelo island and spatial distribution of breeding seabirds
publisher INVEMAR, Santa Marta, Colombia
publishDate 2006
url http://hdl.handle.net/1834/1970
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AT rozodm modelbasedgeomorphologyofmalpeloislandandspatialdistributionofbreedingseabirds
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AT rozodm modelaciongeomorfologicadelaislamalpeloydistribucionespacialdeavesmarinasanidantes
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