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

Stevenson, Jamie Lee; Birkel, Christian; Comte, Jean-Christophe; Tetzlaff, Doerthe; Marx, Christian; Neill, Aaron; Maneta, Marco; Boll, Jan; Soulsby, Chris

Authors

Jamie Lee Stevenson

Christian Birkel

Jean-Christophe Comte

Doerthe Tetzlaff

Christian Marx

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Dr Aaron Neill aaron.j.neill@durham.ac.uk
Post Doctoral Research Associate

Marco Maneta

Jan Boll

Chris Soulsby



Citation

Stevenson, J. L., Birkel, C., Comte, J., Tetzlaff, D., Marx, C., Neill, A., …Soulsby, C. (2023). Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches. Environmental Monitoring and Assessment, 195(4), Article 468. https://doi.org/10.1007/s10661-023-11055-6

Journal Article Type Article
Online Publication Date Mar 15, 2023
Publication Date 2023
Deposit Date Mar 24, 2023
Journal Environmental Monitoring and Assessment
Print ISSN 0167-6369
Electronic ISSN 1573-2959
Publisher Springer
Volume 195
Issue 4
Article Number 468
DOI https://doi.org/10.1007/s10661-023-11055-6
Public URL https://durham-repository.worktribe.com/output/1177536
Related Public URLs https://aura.abdn.ac.uk/handle/2164/20293