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

Jamie Stevenson; C. Birkel; D. Tetzlaff; Jean-Christophe Comte; A.J. Neill; C. Soulsby

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

Jamie Stevenson
, C. Birkel
, D. Tetzlaff
, Jean-Christophe Comte
, A.J. Neill
, C. Soulsby

Environmental & Biochemical Sciences

Not Recorded
University of Aberdeen

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Environmental Monitoring and Assessment
Publication status	Published - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Cite this

@article{4ef038f6cc674b76979615040e1a1c61,

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

author = "Jamie Stevenson and C. Birkel and D. Tetzlaff and Jean-Christophe Comte and A.J. Neill and C. Soulsby",

year = "2023",

language = "English",

journal = "Environmental Monitoring and Assessment",

}

TY - JOUR

T1 - Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches

AU - Stevenson, Jamie

AU - Birkel, C.

AU - Tetzlaff, D.

AU - Comte, Jean-Christophe

AU - Neill, A.J.

AU - Soulsby, C.

PY - 2023

Y1 - 2023

M3 - Article

JO - Environmental Monitoring and Assessment

JF - Environmental Monitoring and Assessment

ER -