Title of the dataset:
Tree_restoration_Effect_on_E_P_Q

Creators:
Anne J. Hoek van Dijke and co-authors
(Martin Herold, Kaniska Mallick, Imme Benedict, Miriam Machwitz, Martin Schlerf, Agnes Pranindita, 
Jolanda J.E. Theeuwen, Jean-Francois Bastin, Adriaan J. Teuling)

Related publication:
Shifts in regional water availability du to global tree restoration, https://doi.org/10.1038/s41561-022-00935-0

Description:
The dataset contains the results of the study ´Shifts in regional water availability due to global tree restoration´ (based on DOI: 10.1126/science.aax0848). 
The results present the changes in water fluxes with global large-scale tree restoration:
* Change in precipitation (dP)
* Evaporation before restoration, under current land cover (Eb)
* Change in evaporation without feedback (dE) and change in evaporation with feedback (dEf)
* Streamflow before restoration, under current land cover (Qb)
* Change in streamflow without feedback (dQ) and change in streamflow with feedback (dQf)

Without and with feedback refers to the feedback of evaporation recycling.

Unit: mm per year

Spatial coverage:
Extent: -180E, 180W, -60S, 90N

Temporal coverage:
Climatologically mean. Input data has a varying time coverage:

Climatological precipitation: 1980-2019 (MSWEP V2.8, (1))
Climatological potential evaporation: 1970-2000 (WorldClim V2, (2))
Current tree cover: 2000 (Hansen tree cover V1.7, (3))
Tree Restoration Potential: based on data with varying time coverage (4)

1: Beck, H. E. et al. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment. Bull. Am. Meteorol. Soc. 100, 473-500 (2019).
2: Trabucco, A. & Zomer, R. J. Global Aridity Index and Potential Evapo-Transpiration (ET0). Climate Database v2 CGIAR Consortium for Spatial Information. https://doi.org/10.6084/m9.figshare.7504448.v3 (2018)
3. Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850-853 (2013).
4. Bastin, J.-F. et al. The global tree restoration potential. Science 365, 76-79 (2019).

Methods:
Change in E and Q are calculated using six Budyko models (1-5). Change in P is calculated using the Utrack dataset (6). For details, see https://doi.org/10.1038/s41561-022-00935-0.

1. Zhang, L., Dawes, W. R. & Walker, G. R. Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resour. Res. 37, 701-708 (2001).
2. Zhang, L. et al. A rational function approach for estimating mean annual evapotranspiration. Water Resour. Res. 40 (2004).
3. Oudin, L., Andréassian, V., Lerat, J. & Michel, C. Has land cover a significant impact on mean annual streamflow? An international assessment using 1508 catchments. J. Hydrol. 357, 303-316 (2008).
4. Zhou, S., Yu, B., Huang, Y. & Wang, G. The complementary relationship and generation of the Budyko functions. Geophys. Res. Lett. 42, 1781-1790 (2015).
5. Teuling, A. J. et al. Climate change, reforestation/afforestation, and urbanization impacts on evapotranspiration and streamflow in Europe. Hydrol. Earth Syst. Sci. 23, 3631-3652 (2019).
6. Tuinenburg, O. A., Theeuwen, J. J. E. & Staal, A. Global evaporation to precipitation flows obtained with Lagrangian atmospheric moisture tracking. PANGAEA. https://doi.org/10.1594/PANGAEA.912710 (2020)

contact: Anne J. Hoek van Dijke, annehvd@bgc-jena.mpg.de

This dataset is published under the CC BY (Attribution) license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.