The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16574864

Hoek van Dijke, Anne; Martin Herold; mallick, kaniska; Benedict, Imme; machwitz, miriam et. al. (2022): Results of the study ' Shifts in regional water availability due to global tree restoration'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16574864.v1

Dataset

• Land and Water Management
• Other Environmental Sciences
• Other Environment
• Ecosystem Assessment and Management
• Atmospheric Sciences

evaporation, evaporation recycling, land-cover change, precipitation, streamflow, tree restoration, water availability

Climatologically mean. Input data has a varying time coverage (details in the readme file).

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Anne Hoek van Dijke , Martin Herold , kaniska mallick, Imme Benedict, miriam machwitz, martin schlerf, Agnes Pranindita, Jolanda Theeuwen, Jean-François Bastin, Ryan Teuling

Results of the study ' Shifts in regional water availability due to global tree restoration' (https://doi.org/10.1038/s41561-022-00935-0). The data presents how global large-scale tree restoration could impact water fluxes. The data includes the evaporation (E) and streamflow (Q) under current land-cover and the change in precipitation (P), evaporation (E) and streamflow (Q) with global large-scale tree restoration. Data at 1/10 (0.1) degree spatial resolution.

• 2022-05-10 first online, published, posted

4TU.ResearchData

NetCDF

Shifts in regional water availability due to global tree restoration.

• Luxembourg National Research Fund (FNR) (PRIDE15/10623093/HYDROCSI)

Hydrology and Quantitative Water Management Group, Wageningen University and Research, Wageningen, The Netherlands;
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Wageningen, The Netherlands;
Environmental Sensing and Modelling, Environmental Research and Innovation Department, Institute of Science and Technology (LIST), Belvaux, Luxembourg