Land carbon models underestimate the severity and duration of drought’s impact on plant productivity
Abstract
The ability to precisely predict ecosystem drought response and recovery is necessary to produce reliable forecasts of land carbon uptake and future climate. Using a suite of models from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), we assessed modeled net primary productivity (NPP) response to, and recovery from, drought events against a benchmark derived from tree ring observations between 1948 and 2008 across forested regions of the US and Europe. We find short lag times (0–6 months) between climate anomalies and modeled NPP response. Even though models accurately simulate the direction of drought legacy effects (i.e. NPP decreases), projected effects are approximately four times shorter and four times weaker than observations suggest. This discrepancy between observed and simulated vegetation recovery from drought reveals a potential critical model deficiency. Since productivity is a crucial component of the land carbon balance, models that underestimate drought recovery time could overestimate predictions of future land carbon sink strength and, consequently, underestimate forecasts of atmospheric CO2.
- Authors:
-
- Northern Arizona Univ., Flagstaff, AZ (United States)
- Woods Hole Research Center, Falmouth, MA (United States)
- California Inst. of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab.
- Carnegie Inst. of Science, Stanford, CA (United States)
- Univ. of Colorado, Boulder, CO (United States)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Biospheric Sciences Lab., Greenbelt, MD (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); NASA ROSES
- OSTI Identifier:
- 1503992
- Grant/Contract Number:
- AC05-00OR22725; NNX10AG01A; NNX14A154G; NNH10AN681
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; carbon cycle; forest ecology
Citation Formats
Kolus, Hannah R., Huntzinger, Deborah N., Schwalm, Christopher R., Fisher, Joshua B., McKay, Nicholas, Fang, Yuanyuan, Michalak, Anna M., Schaefer, Kevin, Wei, Yaxing, Poulter, Benjamin, Mao, Jiafu, Parazoo, Nicholas C., and Shi, Xiaoying. Land carbon models underestimate the severity and duration of drought’s impact on plant productivity. United States: N. p., 2019.
Web. doi:10.1038/s41598-019-39373-1.
Kolus, Hannah R., Huntzinger, Deborah N., Schwalm, Christopher R., Fisher, Joshua B., McKay, Nicholas, Fang, Yuanyuan, Michalak, Anna M., Schaefer, Kevin, Wei, Yaxing, Poulter, Benjamin, Mao, Jiafu, Parazoo, Nicholas C., & Shi, Xiaoying. Land carbon models underestimate the severity and duration of drought’s impact on plant productivity. United States. https://doi.org/10.1038/s41598-019-39373-1
Kolus, Hannah R., Huntzinger, Deborah N., Schwalm, Christopher R., Fisher, Joshua B., McKay, Nicholas, Fang, Yuanyuan, Michalak, Anna M., Schaefer, Kevin, Wei, Yaxing, Poulter, Benjamin, Mao, Jiafu, Parazoo, Nicholas C., and Shi, Xiaoying. Tue .
"Land carbon models underestimate the severity and duration of drought’s impact on plant productivity". United States. https://doi.org/10.1038/s41598-019-39373-1. https://www.osti.gov/servlets/purl/1503992.
@article{osti_1503992,
title = {Land carbon models underestimate the severity and duration of drought’s impact on plant productivity},
author = {Kolus, Hannah R. and Huntzinger, Deborah N. and Schwalm, Christopher R. and Fisher, Joshua B. and McKay, Nicholas and Fang, Yuanyuan and Michalak, Anna M. and Schaefer, Kevin and Wei, Yaxing and Poulter, Benjamin and Mao, Jiafu and Parazoo, Nicholas C. and Shi, Xiaoying},
abstractNote = {The ability to precisely predict ecosystem drought response and recovery is necessary to produce reliable forecasts of land carbon uptake and future climate. Using a suite of models from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), we assessed modeled net primary productivity (NPP) response to, and recovery from, drought events against a benchmark derived from tree ring observations between 1948 and 2008 across forested regions of the US and Europe. We find short lag times (0–6 months) between climate anomalies and modeled NPP response. Even though models accurately simulate the direction of drought legacy effects (i.e. NPP decreases), projected effects are approximately four times shorter and four times weaker than observations suggest. This discrepancy between observed and simulated vegetation recovery from drought reveals a potential critical model deficiency. Since productivity is a crucial component of the land carbon balance, models that underestimate drought recovery time could overestimate predictions of future land carbon sink strength and, consequently, underestimate forecasts of atmospheric CO2.},
doi = {10.1038/s41598-019-39373-1},
journal = {Scientific Reports},
number = 1,
volume = 9,
place = {United States},
year = {Tue Feb 26 00:00:00 EST 2019},
month = {Tue Feb 26 00:00:00 EST 2019}
}
Web of Science
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Works referencing / citing this record:
Recent increases in drought frequency cause observed multi-year drought legacies in the tree rings of semi-arid forests
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Figures / Tables found in this record: