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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

Profile image of Aaron Neill

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.-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, 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