Changing forest water yields in response to climate warming: results from long‐term experimental watershed sites across North America
Climate warming is projected to affect forest water yields but the effects are expected to vary. We investigated how forest type and age affect water yield resilience to climate warming. To answer this question, we examined the variability in historical water yields at long‐term experimental catchme...
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Published in | Global change biology Vol. 20; no. 10; pp. 3191 - 3208 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Science
01.10.2014
Blackwell Publishing Ltd BlackWell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | Climate warming is projected to affect forest water yields but the effects are expected to vary. We investigated how forest type and age affect water yield resilience to climate warming. To answer this question, we examined the variability in historical water yields at long‐term experimental catchments across Canada and the United States over 5‐year cool and warm periods. Using the theoretical framework of the Budyko curve, we calculated the effects of climate warming on the annual partitioning of precipitation (P) into evapotranspiration (ET) and water yield. Deviation (d) was defined as a catchment's change in actual ET divided by P [AET/P; evaporative index (EI)] coincident with a shift from a cool to a warm period – a positive d indicates an upward shift in EI and smaller than expected water yields, and a negative d indicates a downward shift in EI and larger than expected water yields. Elasticity was defined as the ratio of interannual variation in potential ET divided by P (PET/P; dryness index) to interannual variation in the EI – high elasticity indicates low d despite large range in drying index (i.e., resilient water yields), low elasticity indicates high d despite small range in drying index (i.e., nonresilient water yields). Although the data needed to fully evaluate ecosystems based on these metrics are limited, we were able to identify some characteristics of response among forest types. Alpine sites showed the greatest sensitivity to climate warming with any warming leading to increased water yields. Conifer forests included catchments with lowest elasticity and stable to larger water yields. Deciduous forests included catchments with intermediate elasticity and stable to smaller water yields. Mixed coniferous/deciduous forests included catchments with highest elasticity and stable water yields. Forest type appeared to influence the resilience of catchment water yields to climate warming, with conifer and deciduous catchments more susceptible to climate warming than the more diverse mixed forest catchments. |
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Bibliography: | http://dx.doi.org/10.1111/gcb.12615 NSERC Discovery Grant Network of Centres of Excellence Sustainable Forest Management Long Term Ecological Research Network US National Science Foundation Canadian Network of Aquatic Ecosystem Services NSERC Strategic Network Grant University of Western Ontario International Research Award ark:/67375/WNG-ZKGFWRZQ-W US Forest Service istex:2B01C8699991CE20DEA4237FE32E35FE418D7A5E Table S1. Temperature (T), precipitation (P), potential evapotranspiration (PET, estimated using the Hamon method) and discharge (Q) from catchment 5-water-year cool periods (period with lowest average temperature) and 5-water-year warm periods (period with highest average temperature). US Geological Survey ArticleID:GCB12615 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1354-1013 1365-2486 |
DOI: | 10.1111/gcb.12615 |