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Thesis

Investigating the impacts of multiple stressors on marine coastal ecosystems

Abstract:
Coastal ecosystems are increasingly exposed to stressors across space and time, including global climate change and local pressures such as nutrient enrichment, pollutants, and habitat modification. Management and cumulative effects assessment often treat combined stressor effects as additive, despite growing recognition of interactive, context-dependent outcomes. This thesis couples in situ multiple stressor field experiments with decision-ready governance frameworks for coastal management. Using a passive warming manipulation (black versus white settlement plates) paired with local nutrient enrichment contrasts, Chapter 3 tests independent and interactive stressor impacts on a UK rocky shore through a summer time series and across multiple levels of biological organisation, from genes to populations. Responses span key invertebrate and algal functional groups, alongside trophic and transcriptomic indicators. Enrichment generally increased abundance and cover, whereas warming tended to depress them, and interaction signals were time-structured, most evident for barnacle abundance and cyanobacteria concentration, with synergistic interactions across individual dates and season-wide trends. Chapter 4 applies the same methodology across 22 international sites to estimate global mean effects and quantify cross-site heterogeneity. At the global scale, enrichment increased macroalgal cover and shifted barnacle abundance, while warming reduced both groups. Meta-regressions relate site-level sensitivities to abiotic covariates such as precipitation and air temperature variability, and path analyses indicate that macroalgae mediate a substantial component of indirect stressor effects across ecological communities. Building on this evidence of temporospatial context dependence and wider syntheses, Chapter 5 addresses the policy gap that multiple stressor science is rarely embedded in marine spatial planning and cumulative assessment. It proposes an eight component management framework integrating land–sea connectivity, blue economy trade-offs, stressor interaction logic, and adaptive monitoring triggers, operationalised through a Massachusetts case study. Collectively, the thesis shows how the context dependence of coastal multiple stressor impacts can be practically interpreted for transparent, adaptive, multi-sectoral governance across the science–policy interface.

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Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Research group:
Jackson Lab
Oxford college:
Pembroke College
Role:
Author
ORCID:
0000-0001-9957-2989

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Research group:
Jackson Lab
Role:
Supervisor
ORCID:
0000-0003-2227-1111
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Geography
Research group:
Seascape Ecology Lab
Role:
Supervisor
Institution:
The University of Queensland
Role:
Supervisor
ORCID:
0000-0002-6531-5623
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Research group:
Marine Conservation Ecology and Management Group
Role:
Examiner
ORCID:
0000-0002-6982-9381
Institution:
Trinity College Dublin
Research group:
The O'Connor Lab
Role:
Examiner


More from this funder
Funder identifier:
https://ror.org/02b5d8509
Funding agency for:
Wilson, RO
Grant:
NE/S007474/1
Programme:
Oxford Doctoral Training Partnership in Environmental Research


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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