Seeing the climate through the trees: observing climate and forestry impacts on streamflow using a 60-year record

Burt, T.P.; Howden, N.J.K.; McDonnell, J.J.; Jones, J.A.; Hancock, G.R.

Abstract

Paired watershed experiments involving the removal or manipulation of forest cover in one of the watersheds have been conducted for more than a century to quantify the impact of forestry operations on streamflow. Because climate variability is expected to be large, forestry treatment effects would be undetectable without the treatment–control comparison. New understanding of climate variability provides an opportunity to examine whether climate variability interacts with forestry treatments, in a predictable manner. Here, we use data from the H. J. Andrews Experimental Forest, Oregon, USA, to examine the impact of the El Niño-Southern Oscillation on streamflow linked to forest harvesting. Our results show that the contrast between El Niño and La Niña events is so large that, whatever the state of the treated watershed in terms of regrowth of the forest canopy, extreme climatic variability related to El Niño-Southern Oscillation remains the more dominant driver of streamflow response at this location. Improvements in forecasting interannual variation in climate might be used to minimize the impact of forestry treatments on streamflow by avoiding initial operations in La Niña years.

Citation

Burt, T., Howden, N., McDonnell, J., Jones, J., & Hancock, G. (2015). Seeing the climate through the trees: observing climate and forestry impacts on streamflow using a 60-year record. Hydrological Processes, 29(3), 473-480. https://doi.org/10.1002/hyp.10406

• Journal Article Type: Article
• Acceptance Date: Nov 17, 2014
• Online Publication Date: Nov 22, 2014
• Publication Date: Jan 1, 2015
• Deposit Date: Mar 16, 2015
• Publicly Available Date: Mar 24, 2015
• Journal: Hydrological Processes
• Print ISSN: 0885-6087
• Electronic ISSN: 1099-1085
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 29
• Issue: 3
• Pages: 473-480
• DOI: https://doi.org/10.1002/hyp.10406
• Keywords: Paired watershed, Forest hydrology, ENSO, H.J.Andrews.
• Public URL: https://durham-repository.worktribe.com/output/1444237