A spatial network approach for modelling the functional interactions between multiple ecosystem services
department or school: Science, Irving K. Barber Faculty of (Okanagan)
department or school: Biology, Department of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Field, Rachel D.
issued: 2024-04-30T20:29:18Z
issued: 2024
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: Ecosystem functions operate across multifunctional landscapes to produce and connect supply areas of multiple ecosystem services (ES). However, conventional approaches in spatial ES assessment typically map discrete areas that produce one or several ES, which ignores the complex functional interactions among ES. Managing a network of connected ES and maintaining their heterogenous distributions and interactions at the landscape scale is crucial for supporting the health of people and nature. However, spatial network models have not represented the functional interactions between multiple ES in large landscapes, nor have they been translated for practical governance applications. The goal of this research was to develop a novel spatial network approach to represent and quantitatively assess the functional interactions between multiple ES. First, we illustrate this approach using a small, hypothetical landscape, and provide landscape connectivity-based methodology for how to represent ES supply nodes and the functional links between them. We then evaluate the approach using existing ES supply data from a large, real-world landscape to build a spatial multi-ES network model. Our network mapping results reveal long-distance functional interaction corridors, land-use and land cover types not typically associated with a particular ES, and high-value areas that are not present on individual supply area or pairwise link maps. Quantitative network analyses show redistribution of the highest-value nodes and links when comparing single- to multi-ES networks, and that certain potentially important supply areas not detected by traditional valuation protocols are discovered through network analyses. These results show how a network approach can identify potentially important areas on the landscape that might be overlooked by conventional, single-jurisdiction ES assessments. Lastly, we use a network community detection algorithm to partition the landscape into highly functionally …
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/88128
note: A SPATIAL NETWORK APPROACH FOR MODELLING THE FUNCTIONAL INTERACTIONS BETWEEN MULTIPLE ECOSYSTEM SERVICES by Rachel D. Field B.Sc., University of Victoria, 2007 M.Sc., Simon Fraser University, 2011 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE COLLEGE OF GRADUATE STUDIES (Biology) THE UNIVERSITY OF BRITISH COLUMBIA (Okanagan) April 2024 © Rachel Field, 2024 ii The following individuals certify that they have read, and recommend to the College of Graduate Studies for acceptance, a thesis/dissertation entitled: A spatial network approach for modelling the functional interactions between multiple ecosystem services submitted by Rachel D. Field in partial fulfillment of the requirements of the degree of Doctor of Philosophy . Dr. Lael Parrott, Biology and ECCC, Irving K. Barber Faculty of Science Supervisor Dr. Jason Pither, Biology, Irving K. Barber Faculty of Science Supervisory Committee Member Dr. John Janmaat, Economics, Irving K. Barber Faculty of Arts and Social Sciences Supervisory Committee Member Laura Hooker, Biology (Emerita), Irving K. Barber Faculty of Science Supervisory Committee Member Dr. Andrea Craig, Economics, Irving K. Barber Faculty of Arts and Social Sciences University Examiner Dr. Graeme Cumming, Oceans Graduate School, The University of Western Australia External Examiner iii Abstract Ecosystem functions operate across multifunctional landscapes to produce and connect supply areas of multiple ecosystem services (ES). However, conventional approaches in spatial ES assessment typically map discrete areas that produce one or several ES, which ignores the complex functional interactions among ES. Managing a network of connected ES and maintaining their heterogenous distributions and interactions at the landscape scale is crucial for supporting the health of people and nature. However, spatial network models have not represented the functional interactions between multiple ES in large lan…
has type: Thesis/Dissertation
date issued: 2024-05
is shown at: 10.14288/1.0442067
language: eng
degree discipline: Biology
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Parrott, Lael
type: Text
identifier URI: http://hdl.handle.net/2429/88128