Abstract
Forested catchments are ‘hydrological hotspots’ in the world as they act as major sources of high-quality water on Earth and provide essential ecosystem services. Understanding their hydrological functioning is therefore critical for effective land, water and forest management. While field and modelling studies have often focused on individual catchments or multisite intercomparisons, a global analysis of runoff processes in forested catchments is currently lacking, limiting our understanding of how biotic and abiotic factors interact to control these processes across the world. Here data are synthesized from 691 globally distributed forested catchments to identify the main controls on runoff processes, streamflow response and streamflow prediction and assess how these controls vary with climate. Using this global dataset, seven classic hypotheses and an original one are tested. The results corroborate some theories while challenging others, offering new, process-based insights into the intertwined factors controlling runoff generation in forested catchments worldwide.
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Data availability
The full dataset is publicly available via Zenodo at https://doi.org/10.5281/zenodo.15123553 (ref. 83).
Change history
15 January 2026
A Correction to this paper has been published: https://doi.org/10.1038/s44221-026-00587-z
References
Bourgoin, C. et al. Mapping Global Forest Cover of the Year 2020 to Support the EU Regulation on Deforestation-Free Supply Chains (Publications Office of the European Union, 2024).
Keleş, S. An assessment of hydrological functions of forest ecosystems to support sustainable forest management. J. Sustain. For. 38, 305–326 (2018).
Caldwell, V. et al. Forested watersheds provide the highest water quality among all land cover types, but the benefit of this ecosystem service depends on landscape context. Sci. Total Environ. 882, 163550 (2023).
Larsen, M. C. Forested watersheds, water resources, and ecosystem services, with examples from the United States, Panama, and Puerto Rico. In Chemistry and Water (ed. Ahuja, S.) 161–182 (Elsevier, 2017).
Food and Agriculture Organization and UN Environment Programme. The State of the World’s Forests 2020. Forests, Biodiversity and People (FAO and UNEP, 2020).
Barthold, F. K. & Woods, R. A. Stormflow generation: a meta-analysis of field evidence from small, forested catchments. Water Resour. Res. 51, 3730–3753 (2015).
Pfister, L. et al. Bedrock geology controls on catchment storage, mixing, and release: a comparative analysis of 16 nested catchments. Hydrol. Process. 31, 1828–1845 (2017).
Bates, C. G. & Henry, A. J. Forest and streamflow experiment at Wagon Wheel Gap, Colorado. Mon. Weather Rev. Suppl. 30, 1–79 (1928).
Kittredge, J. Forest Influences: the Effects of Woody Vegetation on Climate, Water and Soil, with Applications to the Conservation of Water and the Control of Floods and Erosion (McGraw Hill, 1948).
Hewlett, J. D. & Hibbert, A. R. Moisture and energy conditions within a sloping soil mass during drainage. J. Geophys. Res. 68, 1081–1087 (1963).
Hewlett, J. D. & Hibbert, A. R. Factors affecting the response of small watersheds to precipitation in humid areas. In International Syposium on Forest Hydrology (eds Sopper, W. E. & Lull, H. W.) 275–290 (Pergamon, 1967).
Andréassian, V. Waters and forests: from historical controversy to scientific debate. J. Hydrol. 291, 1–27 (2004).
Post, A. & Jones, J. A. Hydrologic regimes of forested, mountainous, headwater basins in New Hampshire, North Carolina, Oregon, and Puerto Rico. Adv. Water Resour. 24, 1195–1210 (2001).
Piovano, T. et al. Contrasting storage-flux-age interactions revealed by catchment inter-comparison using a tracer-aided runoff model. J. Hydrol. 590, 125226 (2020).
Wlostowski, A. N. et al. Signatures of hydrologic function across the Critical Zone Observatory network. Water Resour. Res. 57, e2019WR026635 (2021).
Zhang, L. et al. CHOSEN: a synthesis of hydrometeorological data from intensively monitored catchments and comparative analysis of hydrologic extremes. Hydrol. Process. 35, e14429 (2022).
McMillan, H., Araki, R., Gnann, S., Woods, R. & Wagener, T. How do hydrologists perceive watersheds? A survey and analysis of perceptual model figures for experimental watersheds. Hydrol. Process. 37, e14845 (2023).
Penna, D. A recipe for why and how to set up and sustain an experimental catchment. Hydrol. Process. 38, e15163 (2024).
Blöschl, G. Hydrologic synthesis: across processes, places, and scales. Water Resour. Res. 42, W03S02 (2006).
Kirchner, J. W. Aggregation in environmental systems. Part 1: seasonal tracer cycles quantify young water fractions, but not mean transit times, in spatially heterogeneous catchments. Hydrol. Earth Syst. Sci. 20, 279–297 (2016).
Kirchner, J. W. Getting the right answers for the right reasons: linking measurements, analyses, and models to advance the science of hydrology. Water Resour. Res. 42, W03S04 (2006).
Pfister, L. & Kirchner, J. W. Debates—hypothesis testing in hydrology: theory and practice. Water Resour. Res. 53, 1792–1798 (2017).
McMillan, H. K. A review of hydrologic signatures and their applications. WIREs Water 8, e1499 (2021).
Zarei, M. & Destouni, G. A. A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land. Sci. Data 11, 1333 (2024).
Chen, L. & Wang, L. Recent advance in earth observation big data for hydrology. Big Earth Data 2, 86–107 (2018).
Fisher, R. A. & Koven, C. D. Perspectives on the future of land surface models and the challenges of representing complex terrestrial systems. J. Adv. Model. Earth Syst. 12, e2018MS001453 (2020).
Barbeta, A. & Peñuelas, J. Relative contribution of groundwater to plant transpiration estimated with stable isotopes. Sci. Rep. 7, 10580 (2017).
Fan, Y., Miguez-Macho, G., Jobbágy, E. G., Jackson, R. B. & Otero-Casal, C. Hydrologic regulation of plant rooting depth. Proc. Natl Acad. Sci. USA 114, 10572–10577 (2017).
Miguez-Macho, G. & Fan, Y. Spatiotemporal origin of soil water taken up by vegetation. Nature 598, 624–628 (2021).
Fan, Y., Li, H. & Miguez-Macho, G. Global patterns of groundwater table depth. Science 339, 940–943 (2013).
Jasechko, S. Global isotope hydrogeology―review. Rev. Geophys. 57, 835–965 (2019).
Jasechko, S. & Perrone, D. Global groundwater wells at risk of running dry. Science 372, 418–421 (2021).
Zhang, M. et al. A global review on hydrological responses to forest change across multiple spatial scales: importance of scale, climate, forest type and hydrological regime. J. Hydrol. 546, 44–59 (2017).
Peel, M. C., McMahon, T. A. & Finlayson, B. L. Vegetation impact on mean annual evapotranspiration at a global catchment scale. Water Resour. Res. 46, W09508 (2010).
Chen, Z., Wang, W., Woods, R. A. & Shao, Q. Hydrological effects of change in vegetation components across global catchments. J. Hydrol. 595, 125775 (2021).
Liu, Q. et al. Shift in precipitation–streamflow relationship induced by multi-year drought across global catchments. Sci. Total Environ. 857, 159560 (2023).
Vu, T., Kiesel, J., Guse, B., Domisch, S. & Fohrer, N. Disentangling spatio-temporal impacts of multiple environmental factors on the global discharge regime. Earths Future 12, e2023EF004267 (2024).
Penna, D. & van Meerveld, H. J. Spatial variability in the isotopic composition of water in small catchments and its effect on hydrograph separation. WIREs Water 6, e1367 (2019).
Jasechko, S. et al. Substantial proportion of global streamflow less than three months old. Nat. Geosci. 9, 126–129 (2016).
McMillan, H. et al. Global patterns in observed hydrologic processes. Nat. Water 3, 497–506 (2025).
Ali, G. et al. Towards a unified threshold-based hydrological theory: necessary components and recurring challenges. Hydrol. Process. 27, 313–318 (2013).
Branger, F. & McMillan, H. K. Deriving hydrological signatures from soil moisture data. Hydrol. Process. 34, 1410–1427 (2020).
Buttle, J. M. Isotope hydrograph separations and rapid delivery of pre-event water from drainage basins. Prog. Phys. Geogr. 18, 16–41 (1994).
Horton, R. E. Hydrologic interrelations of water and soils. Soil Sci. Soc. Am. J. 1, 401–429 (1937).
Bonell, M. Progress in the understanding of runoff generation dynamics in forests. J. Hydrol. 150, 217–275 (1993).
Peters, D. L., Buttle, J. M., Taylor, C. H. & LaZerte, B. D. Runoff production in a forested, shallow soil, Canadian shield basin. Water Resour. Res. 31, 1291–1304 (1995).
Weiler, M., McDonnell, J. J., Tromp-van Meerveld, I. & Uchida, T. in Encyclopedia of Hydrological Sciences (eds Anderson, M. G. & McDonnell, J. J.) 1–14 (John Wiley & Sons, Ltd, 2006).
Beven, K. & Germann, P. Macropores and water flow in soils revisited. Water Resour. Res. 49, 3071–3092 (2013).
McGuire, K. J., Klaus, J. & Jackson, C. R. James Buttle review: interflow, subsurface stormflow and throughflow: a synthesis of field work and modelling. Hydrol. Process. 38, e15263 (2024).
Blume, T. & van Meerveld, H. J. From hillslope to stream: methods to investigate subsurface connectivity. WIREs Water 2, 177–198 (2015).
Freeze, R. A. Streamflow generation. Rev. Geophys. 12, 627–647 (1974).
Dunne, T. Formation and controls of channel networks. Prog. Phys. Geogr. 4, 211–239 (1980).
Fenicia, F., McDonnell, J. J. & Savenije, H. H. G. Learning from model improvement: on the contribution of complementary data to process understanding. Water Resour. Res. 44, W06419 (2008).
Fenicia, F., Kavetski, D. & Savenije, H. H. G. Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development. Water Resour. Res. 47, W11510 (2011).
Savenije, H. H. G. HESS opinions ‘topography driven conceptual modelling (FLEX-Topo)’. Hydrol. Earth Syst. Sci. 14, 2681–2692 (2010).
Montanari, A. What do we mean by ‘uncertainty’? The need for a consistent wording about uncertainty assessment in hydrology. Hydrol. Process. 21, 841–845 (2007).
Montanari, A., Shoemaker, C. A. & van de Giesen, N. Introduction to special section on uncertainty assessment in surface and subsurface hydrology: an overview of issues and challenges. Water Resour. Res. 45, W00B00 (2009).
McDonnell, J. J., Spence, C., Karran, D. J., van Meerveld, H. J. & Harman, C. J. Fill-and-spill: a process description of runoff generation at the scale of the beholder. Water Resour. Res. 57, e2020WR027514 (2021).
Penna, D. et al. Seasonal changes in runoff generation in a small forested mountain catchment. Hydrol. Process. 29, 2027–2042 (2015).
von Freyberg, J., Studer, B., Rinderer, M. & Kirchner, J. W. Studying catchment storm response using event- and pre-event-water volumes as fractions of precipitation rather than discharge. Hydrol. Earth Syst. Sci. 22, 5847–5865 (2018).
Anderson, A. E., Weiler, M., Alila, Y. & Hudson, R. O. Dye staining and excavation of a lateral preferential flow network. Hydrol. Earth Syst. Sci. 13, 935–944 (2009).
Jencso, K. G. & McGlynn, B. L. Hierarchical controls on runoff generation: topographically driven hydrologic connectivity, geology, and vegetation. Water Resour. Res. 47, W11527 (2011).
Emanuel, R. E., Hazen, A. G., McGlynn, B. L. & Jencso, K. G. Vegetation and topographic influences on the connectivity of shallow groundwater between hillslopes and streams. Ecohydrology 7, 887–895 (2014).
Horton, R. E. The role of infiltration in the hydrologic cycle. Eos14, 446–460 (1933).
Seneviratne, S. I. et al. Investigating soil moisture-climate interactions in a changing climate: a review. Earth Sci. Rev. 99, 125–161 (2010).
Freer, J. et al. Hydrological processes—letters. Topographic controls on subsurface storm flow at the hillslope scale for two hydrologically distinct small catchments. Hydrol. Process. 11, 1347–1352 (1997).
James, A. L. & Roulet, N. T. Antecedent moisture conditions and catchment morphology as controls on spatial patterns of runoff generation in small forest catchments. J. Hydrol. 377, 351–366 (2009).
Penna, D., Tromp-van Meerveld, H. J., Gobbi, A., Borga, M. & Dalla Fontana, G. The influence of soil moisture on threshold runoff generation processes in an alpine headwater catchment. Hydrol. Earth Syst. Sci. 15, 689–702 (2011).
McMillan, S. K. et al. Before the storm: antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events. Biogeochemistry 141, 487–501 (2018).
Massari, C. et al. On the relation between proxies of pre-strom catchment conditions and runoff coefficient for European floods. J. Hydrol. 625, 130012 (2023).
Vichta, T. et al. Combined effects of rainfall–runoff events and antecedent soil moisture on runoff generation processes in an upland forested headwater area. Hydrol. Process. 38, e15216 (2024).
Savenije, H. H. G. The hydrological system as a living organism. Proc. IAHS 385, 1–4 (2024).
Nippgen, F., McGlynn, B. L., Marshall, A. & Emanuel, R. E. Landscape structure and climate influences on hydrologic response. Water Resour. Res. 47, W12528 (2011).
Gnann, S. et al. The influence of topography on the global terrestrial water cycle. Rev. Geophys. 63, e2023RG000810 (2025).
Ning, T. et al. Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world’s water towers. Sci. Total Environ. 880, 163285 (2023).
Levia, D. F. & Germer, S. A review of stemflow generation dynamics and stemflow-environment interactions in forests and shrublands. Rev. Geophys. 53, 673–714 (2015).
Levia, D. F., Hudson, S. A., Llorens, P. & Nanko, K. Throughfall drop size distributions: a review and prospectus for future research. WIREs Water 4, e1225 (2017).
Dunkerley, D. L. in Precipitation Partitioning by Vegetation: a Global Synthesis (eds Van Stan, J. T., Gutmann, E. & Friesen, J.) 182–213 (Springer, 2020).
Zhang, Y., Viglione, A. & Blöschl, G. Temporal scaling of streamflow elasticity to precipitation: a global analysis. Water Resour. Res. 58, e2021WR030601 (2022).
Benettin, P. et al. Transit time estimation in catchments: recent developments and future directions. Water Resour. Res. 58, e2022WR033096 (2022).
Felton, A. J. et al. Global estimates of the storage and transit time of water through vegetation. Nat. Water 3, 59–69 (2025).
Peel, M. C., Finlayson, B. L. & McMahon, T. A. Updated world map of the Köppen–Geiger climate classification. Hydrol. Earth Syst. Sci. 11, 1633–1644 (2007).
Penna, D. Dataset for controls on runoff processes in forested catchments worldwide. Zenodo https://doi.org/10.5281/zenodo.15123553 (2025).
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Penna, D. Controls on runoff processes in forested catchments worldwide. Nat Water 4, 102–114 (2026). https://doi.org/10.1038/s44221-025-00547-z
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DOI: https://doi.org/10.1038/s44221-025-00547-z
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