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 | 2024-05-10T11:31:26Z | |
dc.date.available | 2024-05-10T11:31:26Z | |
dc.date.issued | 2023-03-15 | |
dc.identifier | 229417952 | |
dc.identifier | 3296aa45-6f8d-4ebe-923f-56aa6c82fc7d | |
dc.identifier | 36918498 | |
dc.identifier | 85150306628 | |
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 | ORCID: /0000-0002-5129-8391/work/131351228 | |
dc.identifier.uri | http://aura-test.abdn.ac.uk/handle/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.format.extent | 4888425 | |
dc.language.iso | eng | |
dc.relation.ispartof | Environmental Monitoring and Assessment | 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.identifier.doi | https://doi.org/10.1007/s10661-023-11055-6 | |