期刊
PLANT CELL AND ENVIRONMENT
卷 44, 期 10, 页码 3322-3335出版社
WILEY
DOI: 10.1111/pce.14149
关键词
hydraulic failure; intraspecific variation; non-structural carbohydrates; water potential
资金
- National Science Foundation [BCS 1461576]
- NSF Experimental Program to Stimulate Competitive Research (EPSCoR) Track-1 [EPS-1101342]
Predicted increases in forest drought mortality highlight the need for predictors of incipient drought-induced mortality risk that enable proactive large-scale management. Water status indicators are promising candidates for real-time monitoring of DIM, particularly if they standardize morphological differences among plants. Time to incipient mortality differed between populations but occurred at the same relative water content (RWC) and water potential (WP), both of which were accurate predictors of drought mortality risk.
Predicted increases in forest drought mortality highlight the need for predictors of incipient drought-induced mortality (DIM) risk that enable proactive large-scale management. Such predictors should be consistent across plants with varying morphology and physiology. Because of their integrative nature, indicators of water status are promising candidates for real-time monitoring of DIM, particularly if they standardize morphological differences among plants. We assessed the extent to which differences in morphology and physiology between Pinus ponderosa populations influence time to mortality and the predictive power of key indicators of DIM risk. Time to incipient mortality differed between populations but occurred at the same relative water content (RWC) and water potential (WP). RWC and WP were accurate predictors of drought mortality risk. These results highlight that variables related to water status capture critical thresholds during DIM and the associated dehydration processes. Both WP and RWC are promising candidates for large-scale assessments of DIM risk. RWC is of special interest because it allows comparisons across different morphologies and can be remotely sensed. Our results offer promise for real-time landscape-level monitoring of DIM and its global impacts in the near term.
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