dc.contributor.author | Stevenson, Jamie Lee | |
dc.contributor.author | Birkel, Christian | |
dc.contributor.author | Comte, Jean-Christophe | |
dc.contributor.author | Tetzlaff, Doerthe | |
dc.contributor.author | Marx, Christian | |
dc.contributor.author | Neill, Aaron | |
dc.contributor.author | Maneta, Marco | |
dc.contributor.author | Boll, Jan | |
dc.contributor.author | Soulsby, Chris | |
dc.date.accessioned | 2023-03-15T15:50:01Z | |
dc.date.available | 2023-03-15T15:50:01Z | |
dc.date.issued | 2023-03-15 | |
dc.identifier.citation | Stevenson , 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/s10661-023-11055-6 | en |
dc.identifier.issn | 0167-6369 | |
dc.identifier.other | PURE: 229417952 | |
dc.identifier.other | PURE UUID: 3296aa45-6f8d-4ebe-923f-56aa6c82fc7d | |
dc.identifier.other | PubMed: 36918498 | |
dc.identifier.other | ORCID: /0000-0002-5129-8391/work/131351228 | |
dc.identifier.other | Scopus: 85150306628 | |
dc.identifier.uri | https://hdl.handle.net/2164/20293 | |
dc.description | Acknowledgements 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.format.extent | 26 | |
dc.language.iso | eng | |
dc.relation.ispartof | Environmental Monitoring and Assessment | en |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en |
dc.subject | SDG 11 - Sustainable Cities and Communities | en |
dc.subject | SDG 13 - Climate Action | en |
dc.subject | Urban ecosystem services | en |
dc.subject | Water balances | en |
dc.subject | Ecohydrological modelling | en |
dc.subject | Precipitation partitioning | en |
dc.subject | Infiltration | en |
dc.subject | Evapotranspiration | en |
dc.subject | G Geography. Anthropology. Recreation | en |
dc.subject | GE Environmental Sciences | en |
dc.subject | Other | en |
dc.subject | RPG-2018–375 | en |
dc.subject.lcc | G | en |
dc.subject.lcc | GE | en |
dc.title | Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Geography & Environment | en |
dc.contributor.institution | University of Aberdeen.Geology and Geophysics | en |
dc.contributor.institution | University of Aberdeen.Northern Rivers Institute (NRI) | en |
dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1007/s10661-023-11055-6 | |
dc.identifier.vol | 195 | en |
dc.identifier.iss | 4 | en |