Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling (Files and Python Scripts)

Aaron Neill (Creator)
C. Birkel (Contributor)
Marco P. Maneta (Contributor)
Doerthe Tetzlaff (Contributor)
Christopher Soulsby (Owner)

Dataset

Description

This repository contains files and Python scripts needed to reproduce and analyse model outputs used in the research paper "Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling", published in Hydrology and Earth System Sciences

Data type

Model output

Copyright and Open Data Licencing

CC BY-NC-SA 4.0

Date made available	2021
Publisher	University of Aberdeen
Date of data production	2021

Funder and Grant Reference number

Other
Leverhulme Trust
ISO-LAND
RPG 2018 375
European Research Council
VeWa
GA 335910

Contact

[email protected]

DOI
10.20392/045cd572-ecc8-4dfd-b003-c0d0c621510e

Access Dataset

Files_and_PythonScripts.zip
File: application/zip, 98 MB
Type: Dataset
Licence: CC BY-NC-SA

Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling
Neill, A. (Corresponding Author), Birkel, C., Maneta, M. P., Tetzlaff, D. & Soulsby, C., Sept 2021, In: Hydrology and Earth System Sciences. 25, 9, p. 4861–4886 26 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
22 Link opens in a new tab Citations (Scopus)

12 Downloads (Pure)

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