Predicting the responses of streamflow to changes in forest management is fundamental to the sustainable regulation of water resources. However, studies of changes in forest cover have yielded unclear and largely unpredictable results. Here we compile a comprehensive and spatially distributed database of forest-management studies worldwide, to assess the factors that control streamflow response to forest planting and removal. We introduce a vegetation-to-bedrock model that includes seven key landscape factors in order to explain the impacts of forest removal and planting on water yield. We show that the amount of water stored in a landscape is the most important factor in predicting streamflow response to forest removal, whereas the loss of water through evaporation and transpiration is the most important factor in predicting streamflow response to forest planting. Our findings affect model parameterizations in climate change mitigation schemes (involving, for example, afforestation or deforestation) in different geologic and climate regions around the world, and inform practices for the sustainable management of water resources.
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We thank P. Brooks and N. (C.) Tague for their useful feedback, K. Janzen for helpful edits and M. Logies for Fig. 3. Support for this study was provided by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant to J.J.M.
Nature thanks Paul Brooks and Naomi (Christina) Tague for their contribution to the peer review of this work.
J.J.M. provided consulting advice to Arauco Chile on three occasions, most recently in 2015.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Numbers of published manuscripts from 1933 to 2017 that match our Scopus database queries in the title, abstract or keyword. We identified a manuscript as a ‘hydrology’ paper (filled area) if it carried the tag ‘hydrolog*’ as a catch-all keyword for terms such as ‘hydrology’, ‘hydrological’, and so on. We identified a manuscript as a ‘paired watershed’ or ‘paired catchment’ study (dark green line) if it carried either of these phrases. The inset shows numbers of manuscripts (sizes of bubbles) according to a country’s United Nations World Economic Situation and Prospects (WESP) classification189.
A Budyko plot of study sites within each intervention scheme (planting or removal), with dryness index (PET/P; x axis) plotted against evaporative index (AET/P; y axis). Also shown are kernel density plots of intervention schemes (top and right). The solid curve is the Budyko prediction; dashed lines represent upper (forests) and lower (grasslands) limits according to equation (10) in previously published study200.
a, b, Comparison of modelling for planting (a) and removal (b) intervention schemes. Also shown are the model-fit statistics, R2, RASE and AAE.
Locations of catchments (n = 442,319) for which data for all seven factors are available and in which the gradient-boosted-tree predictions are implemented. Histograms show distributions of catchments along latitude and longitude.
a, b, Histograms showing model output for removal (a) and planting (b) schemes. Complete (blue) and incomplete (red) refer to catchments in which all seven vegetation-to-bedrock factors are available (n = 442,319; complete) or for which one or more factors are not available (n = 1,777,463; incomplete). Values are median and interquartile range (in brackets).
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Evaristo, J., McDonnell, J.J. RETRACTED ARTICLE: Global analysis of streamflow response to forest management. Nature 570, 455–461 (2019). https://doi.org/10.1038/s41586-019-1306-0
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