Arising from: Evaristo, J. & McDonnell, J. J. Nature https://doi.org/10.1038/s41586-019-1306-0 (2019); Addendum Nature https://doi.org/10.1038/s41586-019-1586-4 (2019); Author Correction Nature https://doi.org/10.1038/s41586-019-1588-2 (2019); Retraction Nature https://doi.org/10.1038/s41586-020-1945-1 (2020).
Planting and removal of forest affect average streamflow (also referred to as water yield), but there is ongoing debate as to what extent this long-term difference between precipitation and evapotranspiration is modulated by local conditions. A recent paper by Evaristo and McDonnell1 introduces a conceptual vegetation-to-bedrock model to explain variability in reported streamflow responses to changes in forest cover based on an analysis of seven factors that describe climate, soil properties and catchment size. Their analysis excludes well known controls—such as the percentage of catchment area under change2, forest type and time since afforestation—that we show here to be important. By excluding these primary controls, Evaristo and McDonnell risk attributing water yield response to co-varying secondary controls rather than to the underlying causes.
We illustrate the importance of the record length (or time since afforestation) using unique longterm measurements of water yield made under controlled conditions. At Castricum in The Netherlands, and St Arnold in Germany, two large lysimeters were planted with coniferous and deciduous trees in the 1940s and 1960s, respectively, while reference conditions (bare soil and grassland, respectively) were maintained in an additional lysimeter. At both stations, strong, consistent and continuing declines in average water yield response were observed over averaging periods that ranged from several years up to the whole experiment duration (Fig. 1), coinciding with a steady increase in tree height and biomass3,4 and in spite of possible limitations in rooting depth. The declines follow an exponential decay (with a coefficient of determination of 0.91 or larger) with an e-folding time τ of 15 years and a stronger water yield response for coniferous forest than for deciduous forest. As a result, each individual lysimeter already covers a range in water yield response of 30% up to 70%, comparable to the total range reported by Evaristo and McDonnell across different watersheds1. Similar response times were found for afforestation experiments in deciduous broadleaf forest in North Carolina in the USA5 and at the German lysimeter station of Britz-Eberswalde6, while analysis of longterm streamflow data in Sweden revealed similar strong effects of forest biomass and age7.
Data points are from coniferous (triangles) and deciduous (circles) lysimeters at Castricum (green) and St Arnold (red/orange). Dashed curves indicate exponential fits with a characteristic timescale τ of 15 years, with a 10-year shift assumed for the deciduous lysimeter in St Arnold. Letters A, B and C indicate record length (or forest age) domains used in Fig. 2. The background histogram shows the distribution of the record length of the forest planting studies used by Evaristo and McDonnell. Note that most studies (82%) have a record length of less than 30 years, and strong changes in water yield response are observed in this period. This figure and Fig. 2 were generated by Matlab 2015b (http://nl.mathworks.com/products/matlab/).
Points/circles indicate locations of forest planting studies used by Evaristo and McDonnell1, with the size reflecting the record length according to classes A, B and C as indicated in Fig. 1. The background map shows changes in tree canopy cover over the period 1982–2016 obtained from a recent analysis of satellite data8.
The record length of the studies used by Evaristo and McDonnell1 varies considerably from 1 year to 75 years, but is mostly lower than the timescale of water yield response to forest growth of 15 years (Fig. 1). Therefore, it is likely that the values reported in studies with record lengths of up to once or even twice the e-folding time (15–30 years) are in fact highly sensitive to the length of their record. The mixing of data with variable record lengths could explain why Evaristo and McDonnell find actual evapotranspiration (AET) to be the factor explaining most of the magnitude, rather than timing, of water yield response to planting. When the location of stations with sufficient record length are added to a global map of changes in forest cover over the recent decades8, it becomes clear that accurate observations of longterm impacts of forest planting on water yield are concentrated in only a few regions. Strikingly, the forest cover change hotspots are observational blind spots for water cycle impacts. Given the potential of large-scale afforestation to offset carbon emissions9, a robust understanding of the hydrological impacts of current and future forest management is more important than ever.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this paper.
Data availability
Five-year-average water yield observations used in the analysis are provided in Extended Data Table 1.
References
Evaristo, J. & McDonnell, J. J. Global analysis of streamflow response to forest management. Nature 570, 455–461 (2019); Addendum Nature https://doi.org/10.1038/s41586-019-1586-4 (2019); Author Correction Nature https://doi.org/10.1038/s41586-019-1588-2 (2019); Retraction Nature https://doi.org/10.1038/s41586-020-1945-1 (2020).
Bosch, J. M. & Hewlett, J. D. A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. J. Hydrol. 55, 3–23 (1982).
Harsch, N., Brandenburg, M. & Klemm, O. Large-scale lysimeter site St. Arnold, Germany: analysis of 40 years of precipitation, leachate and evapotranspiration. Hydrol. Earth Syst. Sci. 13, 305–317 (2009).
Teuling, A. J. A forest evapotranspiration paradox investigated using lysimeter data. Vadose Zone J. 17, 170031 (2018).
Swift, L. W. & Swank, W. T. Long term responses of streamflow following clearcutting and regrowth/Réactions à long terme du débit des coursd’eau après coupe et repeuplement. Hydrol. Sci. Bull. 26, 245–256 (1981).
Müller, J. Forestry and water budget of the lowlands in northeast Germany—consequences for the choice of tree species and for forest management. J. Water Land Dev. 13a, 133–148 (2009).
Jaramillo, F. et al. Dominant effect of increasing forest biomass on evapotranspiration: interpretations of movement in Budyko space. Hydrol. Earth Syst. Sci. 22, 567–580 (2018).
Song, X.-P. et al. Global land change from 1982 to 2016. Nature 560, 639–643 (2018).
Griscom, B. W. et al. Natural climate solutions. Proc. Natl Acad. Sci. USA 114, 11645–11650 (2017).
Author information
Authors and Affiliations
Contributions
A.J.T. conceived the idea and carried out the analysis. A.J.H.v.D. contributed to interpretation of results and writing of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Supplementary information
Rights and permissions
About this article
Cite this article
Teuling, A.J., Hoek van Dijke, A.J. Forest age and water yield. Nature 578, E16–E18 (2020). https://doi.org/10.1038/s41586-020-1941-5
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41586-020-1941-5

