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Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches

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dc.contributor.authorStevenson, Jamie Lee
dc.contributor.authorBirkel, Christian
dc.contributor.authorComte, Jean-Christophe
dc.contributor.authorTetzlaff, Doerthe
dc.contributor.authorMarx, Christian
dc.contributor.authorNeill, Aaron
dc.contributor.authorManeta, Marco
dc.contributor.authorBoll, Jan
dc.contributor.authorSoulsby, Chris
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.contributor.institutionUniversity of Aberdeen.Northern Rivers Institute (NRI)en
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.date.accessioned2023-03-15T15:50:01Z
dc.date.available2023-03-15T15:50:01Z
dc.date.issued2023-03-15
dc.descriptionAcknowledgements We are grateful to the Leverhulme Trust ISOLAND project (RPG-2018-375) for funding. Furthermore, we are grateful to the Cruickshank Botanical Garden staff led by Mr Mark Paterson for support in creating and maintaining the study site. We thank Jonas Freymuller for help with setting up the sapflux sensors and David Dubbert for assistance with the isotope analysis. Finally, we thank the Aberdeen MSc Geophysics students for contribution to geophysical data collection. Funding This study was funded by Leverhulme Trust ISOLAND project (RPG-2018–375). Funding Information: This study was funded by Leverhulme Trust ISOLAND project (RPG-2018–375). Publisher Copyright: © 2023, The Author(s).en
dc.description.statusPeer revieweden
dc.format.extent26
dc.format.extent4888425
dc.identifier229417952
dc.identifier3296aa45-6f8d-4ebe-923f-56aa6c82fc7d
dc.identifier36918498
dc.identifier85150306628
dc.identifier.citationStevenson, J L, Birkel, C, Comte, J-C, Tetzlaff, D, Marx, C, Neill, A, Maneta, M, Boll, J & Soulsby, C 2023, 'Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches', Environmental Monitoring and Assessment, vol. 195, no. 4, 468. https://doi.org/10.1007/s10661-023-11055-6en
dc.identifier.doi10.1007/s10661-023-11055-6
dc.identifier.iss4en
dc.identifier.issn0167-6369
dc.identifier.otherORCID: /0000-0002-5129-8391/work/131351228
dc.identifier.urihttps://hdl.handle.net/2164/20293
dc.identifier.vol195en
dc.language.isoeng
dc.relation.ispartofEnvironmental Monitoring and Assessmenten
dc.subjectSDG 11 - Sustainable Cities and Communitiesen
dc.subjectSDG 13 - Climate Actionen
dc.subjectUrban ecosystem servicesen
dc.subjectWater balancesen
dc.subjectEcohydrological modellingen
dc.subjectPrecipitation partitioningen
dc.subjectInfiltrationen
dc.subjectEvapotranspirationen
dc.subjectG Geography. Anthropology. Recreationen
dc.subjectGE Environmental Sciencesen
dc.subjectOtheren
dc.subjectRPG-2018–375en
dc.subject.lccGen
dc.subject.lccGEen
dc.titleQuantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approachesen
dc.typeJournal articleen

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