Division of Biological Sciences, University of Montana, Missoula, Montana, USA.
Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota, USA.
Plant Cell Environ. 2021 Oct;44(10):3322-3335. doi: 10.1111/pce.14149. Epub 2021 Aug 23.
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.
预计森林干旱死亡率会增加,这凸显了需要预测干旱起始死亡率(DIM)风险的预测因子,以便能够主动进行大规模管理。此类预测因子应该适用于具有不同形态和生理特征的植物。由于其综合性,水势指标是实时监测 DIM 的有前途的候选指标,特别是如果它们可以标准化植物之间的形态差异。我们评估了形态和生理差异在多大程度上影响了 Pinus ponderosa 种群的死亡率和 DIM 风险关键指标的预测能力。起始死亡率在种群之间存在差异,但发生在相同的相对水含量(RWC)和水势(WP)下。RWC 和 WP 是干旱死亡率风险的准确预测因子。这些结果强调了与水状态相关的变量在 DIM 和相关脱水过程中捕获关键阈值。WP 和 RWC 都是大规模评估 DIM 风险的有前途的候选指标。RWC 特别有趣,因为它允许跨不同形态进行比较,并且可以进行遥感。我们的结果为实时监测 DIM 及其在短期内的全球影响提供了前景。