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Bridging the gap between ecosystem modelling tools using Geographic Information Systems Steenbeek, Jeroen
Abstract
This paper is an adaptation of my M.Sc. thesis in GIS and Environment, which was completed September 2012 at the Department of Environmental and Geographical Sciences of Manchester Metropolitan University, Manchester, UK, in collaboration with the UNIGIS department at the Vrije Universiteit, Amsterdam, The Netherlands, and the Nereus Program at the Fisheries Centre, University of British Columbia, Vancouver, Canada. The effects of climate change and human interactions on marine ecosystems are felt throughout the world, yet these effects are still poorly understood. Research efforts to attain understanding are hampered by the limitations of present-day ecosystem models to address the interrelated dynamics between climate, ocean chemistry, marine food webs, and human systems due to the discreet sciences that these models derived from. This thesis seeks to simplify interdisciplinary model interoperability by separating its various technical and scientific challenges into a flexible and modular framework using open source GIS technology and common software development paradigms. A prototype of this framework is used to drive the food web dynamics of an existing and published marine ecosystem model with two spatial-temporal series of primary productivity. Results show that the predictive capabilities of the model enhanced by better reflecting observed species population trends, which is a promising step toward future implementations of the framework, such as in the ambitious end-to-end Nereus Model (Christensen, 2012).
Item Metadata
Title |
Bridging the gap between ecosystem modelling tools using Geographic Information Systems
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Alternate Title |
Fisheries Centre research reports. Volume 20, number 6
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Creator | |
Publisher |
University of British Columbia. Fisheries Centre
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Date Issued |
2012
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Description |
This paper is an adaptation of my M.Sc. thesis in GIS and Environment, which was completed September
2012 at the Department of Environmental and Geographical Sciences of Manchester Metropolitan
University, Manchester, UK, in collaboration with the UNIGIS department at the Vrije Universiteit,
Amsterdam, The Netherlands, and the Nereus Program at the Fisheries Centre, University of British
Columbia, Vancouver, Canada.
The effects of climate change and human interactions on marine ecosystems are felt throughout the world,
yet these effects are still poorly understood. Research efforts to attain understanding are hampered by the
limitations of present-day ecosystem models to address the interrelated dynamics between climate, ocean
chemistry, marine food webs, and human systems due to the discreet sciences that these models derived
from.
This thesis seeks to simplify interdisciplinary model interoperability by separating its various technical
and scientific challenges into a flexible and modular framework using open source GIS technology and
common software development paradigms. A prototype of this framework is used to drive the food web
dynamics of an existing and published marine ecosystem model with two spatial-temporal series of
primary productivity. Results show that the predictive capabilities of the model enhanced by better
reflecting observed species population trends, which is a promising step toward future implementations of
the framework, such as in the ambitious end-to-end Nereus Model (Christensen, 2012).
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Genre | |
Type | |
Language |
eng
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Date Available |
2017-08-16
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0354403
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International