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dc.contributor.advisorPaterson, D. M. (David M.)
dc.contributor.authorWatson, Stephen C. L.
dc.coverage.spatial357en_US
dc.date.accessioned2019-01-09T12:43:30Z
dc.date.available2019-01-09T12:43:30Z
dc.date.issued2017-06-21
dc.identifier.urihttp://hdl.handle.net/10023/16817
dc.description.abstractMarine and coastal ecosystems are subject to diverse and increasingly intensive anthropogenic activities, making understanding cumulative effects critically important. However, accurately accounting for the cumulative effects of human impacts can be difficult, with the possibility of multiple stressors interacting and having greater impacts than expected, compounding direct and indirect effects on individuals, populations, communities and ecosystems. Assessment of multiple stressors therefore requires extensive scientific research that directly tests how single or multiple ecological components are affected by stressors, both singly and when combined, and as a consequence, cumulative effects assessments are now increasingly included in environmental assessments. Currently, there is a need to assess these at larger spatial scales, with additional research also urgently needed on the responses of ecological components, processes and functions to single and cumulative stressors. As cumulative environmental impacts could be better addressed by regional stressor effects assessments that combine methods for predicting multiple pressures on ecosystem recovery alongside degradation, this study used several separate approaches that can be used in parallel to give support for local management measures. I tested four completely different methods – a range of multi-metric indices, a food web model (Ecopath), a predictive model (Ecosim) and a Bayesian Belief Network model. Each approach was tested and compared in two shallow water estuarine systems, in Scotland and England, initially concerning the impact of nutrient enrichment and subsequent recovery and was followed by an investigation of how the addition of multiple stressors (nutrient levels, temperature and river-flow rates) would impact the future state of each system. The response to stressors was highly context dependent, varying between and within geographic locations. Overall, each of the four different approaches complemented each other and gave strong support for the need to make big reductions in the pressures and to consider trade-offs between impacting pressures. The models and tools also indicate that in order to reach an improved overall environmental state of each ecosystem, a focus on nutrient reductions are likely to be the most effective of the controls on stressors explored and that cumulative effects of the management of nutrient inputs and increased water temperatures and river-flow are likely to exist.en
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectClimate changeen
dc.subjectMarine systemsen
dc.subjectMultiple stressorsen
dc.subjectBiodiversityen
dc.subjectEcosystem servicesen
dc.subjectEcosystem healthen
dc.subjectResilienceen
dc.subjectNutrient stressen
dc.subjectEcopathen
dc.subjectEcological indicesen
dc.subjectMacro-invertebratesen
dc.subjectDemersal fishen
dc.subjectWaterbirdsen
dc.subject.lccQC903.W2
dc.subject.lcshCoastal biodiversityen
dc.subject.lcshEcosystem servicesen
dc.subject.lcshEcosystem healthen
dc.subject.lcshClimatic changeen
dc.subject.lcshNature--Effect of human beings onen
dc.titleThe impact of multiple stressors on coastal biodiversity and associated ecosystem servicesen
dc.typeThesisen_US
dc.contributor.sponsorNatural Environment Research Council (NERC)en
dc.contributor.sponsorBiodiversity & Ecosystem Services Sustainability (BESS)en
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US


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