Temperature-driven vapor pressure deficit structures forest bryophyte communities across the landscape

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Abstract. Atmospheric vapor pressure deficit (VPD) controls local plant physiology and global vegetation productivity. However, at ecologically crucial intermediate spatial scales, the role of VPD variability in forest bryophyte community assembly and the processes controlling this variability are little known. To explore VPD effects on bryophyte community composition and richness and to disentangle processes controlling landscape-scale VPD variability, we recorded bryophyte communities and simultaneously measured forest microclimate air temperature and relative humidity across a topographically diverse landscape representing a bryophyte diversity hotspot in temperate Europe. Based on VPD importance for plant physiology, we hypothesize that VPD can be important also for bryophyte community assembly and that VPD variability will be jointly driven by saturated and actual vapor pressure across the topographically diverse landscape with contrasting forest types and steep microclimatic gradients. Contrary to our expectation, VPD variability was dictated by temperature-driven differences in saturated vapor pressure, while actual vapor pressure was surprisingly constant across the landscape. Gradients in species composition, species richness and community structure of bryophyte assemblages followed closely the VPD variability. The average daily mean VPD was a much better predictor of species composition than average daily maximum VPD. The mean VPD also explained significantly more variation in species composition and richness than maximum temperature, indicating that time-averaged evaporative stress is more relevant for bryophyte communities than microclimatic extremes. While mesic forest bryophytes occurred along the whole VPD gradient, species occurring near their distributional limits and locally rare species preferred sites with low VPD. Consequently, low VPD sites represent species-rich microclimatic refugia within the landscape, where regionally abundant mesic forest bryophytes coexist with rare species occurring near their distributional range limits. Our results showed that VPD variability at ecologically crucial landscape scales is controlled by temperature-driven saturated vapor pressure. Future climate warming will thus increase evaporative stress and reshuffle VPD-sensitive forest bryophyte communities even in topographically diverse landscapes, which are traditionally considered as microclimatic refugia buffered against climate change. Bryophyte species occurring near their distributional range limits in microclimatic refugia with low VPD will be especially vulnerable to the future changes in atmospheric VPD.

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Environmental conditions influence plant responses to ozone (O3), but few studies have evaluated individual factors directly. In this study, the effect of O3 at high and low atmospheric vapour pressure deficit (VPD) was evaluated in two genotypes of snap bean (Phaseolus vulgaris L.) (R123 and S156) used as O3 bioindicator plants. Plants were grown in outdoor controlled-environment chambers in charcoal-filtered air containing 0 or 60 nl l−1 O3 (12 h average) at two VPDs (1.26 and 1.96 kPa) and sampled for biomass, leaf area, daily water loss, and seed yield. VPD clearly influenced O3 effects. At low VPD, O3 reduced biomass, leaf area, and seed yield substantially in both genotypes, while at high VPD, O3 had no significant effect on these components. In clean air, high VPD reduced biomass and yield by similar fractions in both genotypes compared with low VPD. Data suggest that a stomatal response to VPD per se may be lacking in both genotypes and it is hypothesized that the high VPD resulted in unsustainable transpiration and water deficits that resulted in reduced growth and yield. High VPD- and water-stress-induced stomatal responses may have reduced the O3 flux into the leaves, which contributed to a higher yield compared to the low VPD treatment in both genotypes. At low VPD, transpiration increased in the O3 treatment relative to the clean air treatment, suggesting that whole-plant conductance was increased by O3 exposure. Ozone-related biomass reductions at low VPD were proportionally higher in S156 than in R123, indicating that differential O3 sensitivity of these bioindicator plants remained evident when environmental conditions were conducive for O3 effects. Assessments of potential O3 impacts on vegetation should incorporate interacting factors such as VPD.

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Atmospheric vapor pressure deficit (VPD) measures the difference between saturation vapor pressure and actual vapor pressure, and its variability is closely related to fire activity in the western United States (US). Here, we assess the forecast skill of monthly VPD variability using a state-of-the-art dynamical forecast system and statistical predictions, such as the persistence forecast and model-analog forecasts. In the model-analog framework, we select analog states resembling the observed initial conditions from the model space, and the subsequent evolution of those initial model-analogs yields forecast ensembles. Dynamical forecasts demonstrate skillful predictions of VPD variability in the western US, exceeding the persistence forecast skill, which indicates additional sources of VPD predictability within the climate system. To quantify the contribution of different climate variables to VPD prediction, we develop a weighted model-analog forecast and evaluate its skill in comparison to VPD-only and unweighted forecasts. Our findings suggest that sea surface temperature is a critical source of VPD predictability over the western US. The optimally weighted model-analog exhibits forecast skill for VPD variability comparable to that of the dynamical forecast system.

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  • Research Article
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  • Book Chapter
  • Cite Count Icon 28
  • 10.1007/978-94-007-4737-1_5
Vapor Pressure Calculation Methods
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Evapotranspiration (ET) or water loss to the atmosphere is one of the largest components of the hydrologic cycle, and its estimation is subject to uncertainties. Most ET estimation methods depend on vapor pressure deficit estimation. Improvements in saturation vapor pressure, actual vapor pressure, and vapor pressure deficit computations contribute to reducing errors in estimating ET. Using high-resolution meteorological data, various vapor pressure computations methods were compared. High-resolution saturation vapor pressure can be computed from high-resolution meteorological data reflecting diurnal fluctuations. In the absence of high-resolution meteorological data, daily average saturation vapor pressure is best estimated from the daily 24-h average relative humidity and the 24-h average air temperature followed by the average of daily maximum and minimum air temperature. Actual vapor pressure is best estimated from the 24-h mean air temperature and relative humidity. With some error, the average of the maximum and minimum air temperature and relative humidity can be applied to estimate actual vapor pressure. In this study, application of many equations is presented with correlation of the results with “true” estimates.

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