Effects of elevated pressure on rate of photosynthesis during plant growth

Takeishi, Hiroyuki; Hayashi, Jun; Okazawa, Atsushi; Harada, Kaoru; Hirata, Kazumasa; Kobayashi, Akio; Akamatsu, Fumiteru

doi:10.1016/j.jbiotec.2013.08.012

Cited by 12 publications

(6 citation statements)

References 30 publications

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“…Although plants may respond to variations in atmospheric pressure as such 39 , it seems unlikely that this force is strong enough to have a significant impact on plant reproduction. Temperatures appear to be the favourite candidate for causing spatial synchrony of flower induction in alpine plants in Norway, but atmospheric pressure also affect several other environmental factors, such as clouds and precipitation 36 , light conditions and UV-B radiation 40 , and even cosmic ray fluxes 41 , a factor that has been hypothesized to cause decadal cycles in herbivore populations through the ionizing effect on plants 42 .…”

Section: Discussionmentioning

confidence: 99%

Timing of population peaks of Norway lemming in relation to atmospheric pressure: A hypothesis to explain the spatial synchrony

Selås

2016

Sci Rep

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Herbivore cycles are often synchronized over larger areas than what could be explained by dispersal. In Norway, the 3–4 year lemming cycle usually show no more than a one-year time lag between different regions, despite distances of up to 1000 km. If important food plants are forced to reallocate defensive proteins in years with high seed production, spatially synchronized herbivore outbreaks may be due to climate-synchronized peaks in flowering. Because lemming peaks are expected to occur one year after a flowering peak, and the formation of flower buds is induced in the year before flowering, a two-year time lag between flower-inducing climate events and lemming peaks is predicted. At Hardangervidda, South Norway, the probability that a year was a population peak year of lemming during 1920–2014 increased with increasing midsummer atmospheric pressure two years earlier, even when the number of years since the previous peak was accounted for.

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Section: Discussionmentioning

confidence: 99%

Timing of population peaks of Norway lemming in relation to atmospheric pressure: A hypothesis to explain the spatial synchrony

Selås

2016

Sci Rep

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“…The identified soil temperature of ~ 17 °C and salinity of ~ 30 ppt thresholds dictated the transition of the CO 2 uptake efficiency from high to low regimes. However, such limiting thresholds were not apparent in case of P a , although NEE CO2,uptake can potentially decrease with increasing atmospheric pressure 39 . Therefore, we hypothesized that variations of ST and SS were the major factors responsible for regime transition of CO 2 fluxes.…”

Section: Discussionmentioning

confidence: 88%

“…PAR, ST, SS were the most dominant drivers of NEE CO2,uptake, as identified in the study of Abdul-Aziz et al 7 . Furthermore, P a negatively correlates with net photosynthesis as stomatal conductance increases with decreasing pressure 39 . The selected variables for the dimensional analysis included four fundamental dimensions (mass: M; length: L; temperature: K; time: T) ( Table 1).…”

Section: Study Wetlands and Datasets Four Salt Marshes Located In Wamentioning

confidence: 99%

Ecological parameter reductions, environmental regimes, and characteristic process diagram of carbon dioxide fluxes in coastal salt marshes

Ishtiaq

Abdul‐Aziz

2020

Sci Rep

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We investigated the ecological parameter reductions (termed “similitudes”) and characteristic patterns of the net uptake fluxes of carbon dioxide (CO2) in coastal salt marshes using dimensional analysis method from fluid mechanics and hydraulic engineering. Data collected during May–October, 2013 from four salt marshes in Waquoit Bay and adjacent estuary, Massachusetts, USA were utilized to evaluate the theoretically-derived dimensionless flux and various ecological driver numbers. Two meaningful dimensionless groups were discovered as the light use efficiency number (LUE = CO2 normalized by photosynthetically active radiation) and the biogeochemical number (combination of soil temperature, porewater salinity, and atmospheric pressure). A semi-logarithmic plot of the dimensionless numbers indicated the emergence of a characteristic diagram represented by three distinct LUE regimes (high, transitional, and low). The high regime corresponded to the most favorable (high temperature and low salinity) condition for CO2 uptake, whereas the low regime represented an unfavorable condition (low temperature and high salinity). The analysis identified two environmental thresholds (soil temperature ~ 17 °C and salinity ~ 30 ppt), which dictated the regime transitions of CO2 uptake. The process diagram and critical thresholds provide important insights into the CO2 uptake potential of coastal wetlands in response to changes in key environmental drivers.

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“…For example, the barometric pressure directly affects organelles and cells in leaves as well as coefficient of solubility of O 2 and CO 2 . It causes the barometric pressure to be essential for plant growth and development (Daunicht and Brinkjans 1996;Takeishi et al 2013). Furthermore, a higher total radiation absorbed by leaves enhances the transpiration of plants and then leads to absorption of more groundwater.…”

Section: Results and Analysismentioning

confidence: 99%

Multiple Wavelet Coherence to Evaluate Local Multivariate Relationships in a Groundwater System

Sun

Zhang

et al. 2021

Groundwater

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Groundwater level fluctuations are affected by surface properties due to complex correlations of groundwatersurface water interaction and/or other surface processes, which are usually hard to be accurately quantified. Previous studies have assessed the relationship between groundwater level fluctuations and specific controlling factors. However, few studies have been conducted to explore the impact of the combination of multiple factors on the groundwater system. Hence, this paper tries to explore the localized and scale-specific multivariate relationships between the groundwater level and controlling factors (such as hydrologic and meteorological factors) using bivariate wavelet coherence and multiple wavelet coherence. The groundwater level fluctuations of two wells in areas covered by different plant densities (i.e., the riparian zone of the Colorado River, USA) are analyzed. Main findings include three parts. First, barometric pressure and river stage are the best factors to interpret the groundwater level fluctuations at small scales (<1 day) and large scales (>1 day) at the well of low-density plants stand, respectively. Second, at the well of high-density plants stand, the best predictors to control the groundwater level fluctuations include barometric pressure (<1 day), the combination of barometric pressure and temperature (1-7 days), temperature (7-30 days), and the combination of barometric pressure, temperature, and river stage (>30 days). The best predictor of groundwater head fluctuations depends on the variance of the vegetation coverage and hydrological processes. Third, these results provide a suite of factors to explain the groundwater level variations, which is an important topic in water-resource prediction and management.

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Effects of elevated pressure on rate of photosynthesis during plant growth

Cited by 12 publications

References 30 publications

Timing of population peaks of Norway lemming in relation to atmospheric pressure: A hypothesis to explain the spatial synchrony

Timing of population peaks of Norway lemming in relation to atmospheric pressure: A hypothesis to explain the spatial synchrony

Ecological parameter reductions, environmental regimes, and characteristic process diagram of carbon dioxide fluxes in coastal salt marshes

Multiple Wavelet Coherence to Evaluate Local Multivariate Relationships in a Groundwater System

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