Development and validation of spatial distribution models of marine habitats, in support of the ecological valuation of the seabed
type: CreativeWork
description: The marine environment is subjected to increasing anthropogenic pressure. Although there is a willingness of the different activities to minimize their impacts, there is a strong need for the assessment of the ecological value of the seabed, comprising both the abiotic substrate and the living organisms related to it (together called a ‘habitat’). Therefore, ‘habitat mapping’ is crucial, not only for the assessment of the ecological value at a certain moment, but also to follow its evolution over time. Because of the world-wide application of marine habitat mapping, there is currently a great variety in approaches, methodologies to use, as also in the ways habitats are classified. Therefore, it is of utmost importance that attempts are being made to propose more ‘common approaches’ in marine habitat mapping. The general aim of this study is to apply and develop straightforward and statistically sound methodologies for highly reliable sedimentological and habitat modelling, in support of a more sustainable management of our seas. To achieve these aims, this thesis is subdivided into 2 themes: 1) Best coverage data for habitat mapping; and 2) Integration of datasets in the view of habitat mapping.
abstract: The marine environment is subjected to increasing anthropogenic pressure. Although there is a willingness of the different activities to minimize their impacts, there is a strong need for the assessment of the ecological value of the seabed, comprising both the abiotic substrate and the living organisms related to it (together called a ‘habitat’). Therefore, ‘habitat mapping’ is crucial, not only for the assessment of the ecological value at a certain moment, but also to follow its evolution over time. Because of the world-wide application of marine habitat mapping, there is currently a great variety in approaches, methodologies to use, as also in the ways habitats are classified. Therefore, it is of utmost importance that attempts are being made to propose more ‘common approaches’ in marine habitat mapping. The general aim of this study is to apply and develop straightforward and statistically sound methodologies for highly reliable sedimentological and habitat modelling, in support of a more sustainable management of our seas. To achieve these aims, this thesis is subdivided into 2 themes: 1) Best coverage data for habitat mapping; and 2) Integration of datasets in the view of habitat mapping.
author: Verfaillie, Els
language: eng
keywords: Earth and Environmental Sciences
date published: 2008
date modified: 2026-07-24T02:22:52Z
provider: Ghent University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Ghent University

PropertyValue
property ID: Handle
value: http://hdl.handle.net/1854/LU-629863