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Evapotranspiration and water yield of a pine-broadleaf forest are not altered by long-term atmospheric [CO2] enrichment under native or enhanced soil fertility

Cited 14 time in Web of Science Cited 17 time in Scopus
Authors

Ward, Eric J.; Oren, Ram; Kim, Hyun Seok; Kim, Dohyoung; Tor-ngern, Pantana; Ewers, Brent E.; McCarthy, Heather R.; Oishi, Andrew Christopher; Pataki, Diane E.; Palmroth, Sari; Phillips, Nathan G.; Schafer, Karina V. R.

Issue Date
2018-10
Publisher
Blackwell Publishing Inc.
Citation
Global Change Biology, Vol.24 No.10, pp.4841-4856
Abstract
Changes in evapotranspiration (ET) from terrestrial ecosystems affect their water yield (WY), with considerable ecological and economic consequences. Increases in surface runoff observed over the past century have been attributed to increasing atmospheric CO2 concentrations resulting in reduced ET by terrestrial ecosystems. Here, we evaluate the water balance of a Pinus taeda (L.) forest with a broadleaf component that was exposed to atmospheric [CO2] enrichment (ECO2; +200ppm) for over 17years and fertilization for 6years, monitored with hundreds of environmental and sap flux sensors on a half-hourly basis. These measurements were synthesized using a one-dimensional Richard's equation model to evaluate treatment differences in transpiration (T), evaporation (E), ET, and WY. We found that ECO2 did not create significant differences in stand T, ET, or WY under either native or enhanced soil fertility, despite a 20% and 13% increase in leaf area index, respectively. While T, ET, and WY responded to fertilization, this response was weak (<3% of mean annual precipitation). Likewise, while E responded to ECO2 in the first 7years of the study, this effect was of negligible magnitude (<1% mean annual precipitation). Given the global range of conifers similar to P. taeda, our results imply that recent observations of increased global streamflow cannot be attributed to decreases in ET across all ecosystems, demonstrating a great need for model-data synthesis activities to incorporate our current understanding of terrestrial vegetation in global water cycle models.
ISSN
1354-1013
Language
English
URI
https://hdl.handle.net/10371/150006
DOI
https://doi.org/10.1111/gcb.14363
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