Diffuse light and wetting differentially affect tropical tree leaf photosynthesis

Berry, Z. Carter; Goldsmith, Gregory R.

doi:10.1111/nph.16121

Cited by 56 publications

(46 citation statements)

References 57 publications

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“…Our data show that a mean proportion of 0.51 of the canopy is wet at night compared to only 0.26 of the canopy during the day (Fig. 3), resulting in a lower possible impact of leaf wetness on photosynthesis than if wetness was distributed equally over day and night (Berry and Goldsmith, 2020;Reinhardt and Smith, 2008). On the other hand, position is also important here as leaves at the top of the canopy are more photosynthetically active than those at the bottom (Meir et al, 2002), but are also wet for longer periods (Fig.…”

Section: Wetness Duration Area Of Leaf Wetness and Canopy Water Storagementioning

confidence: 67%

Canopy wetness in the Eastern Amazon

Binks

Finnigan

Coughlin

et al. 2021

Agricultural and Forest Meteorology

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Canopy wetness is a common condition that influences photosynthesis, the leaching or uptake of solutes, the water status and energy balance of canopies, and the interpretation of eddy covariance and remote sensing data. While often treated as a binary variable, 'wet' or 'dry', forest canopies are often partially wet, requiring the use of a continuous description of wetness. Minor precipitation events such as dew, that wet a fraction of the canopy, have been found to contribute to dry season foliar water uptake in the Eastern Amazon, and are fundamentally important to the canopy energy balance. However, few studies have reported the spatial and temporal distribution of canopy wetness, or the relative contribution of dew to leaf wetness, for forest ecosystems.In this study, we use two canopy profiles of leaf wetness sensors, coupled with meteorological data, to address fundamental questions about spatial and temporal variation of leaf wetness in an Eastern Amazonian rainforest. We also investigate how well meteorological tower data can predict canopy wetness using two models, one empirical and one that is physically-based.The results show that the canopy is 100% dry only for 34% of the time, otherwise being between 5% and 100% wet. Dew accounts for 20% or 43% of total annual leaf wetness, and 36% or 50% of canopy wetness in dry season, excluding or including dew events that co-occur with rain, respectively. Wetness duration was higher at the top than bottom of the canopy, mainly because of rain events, whilst dew formation was strongly dependent on the local canopy structure and varied horizontally through the canopy. The best empirical model accounted for 55% of the variance in canopy wetness, while the physical model accounted for 48% of the variance. We discuss future modelling improvements of the physical model to increase its predictive capacity.

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Section: Wetness Duration Area Of Leaf Wetness and Canopy Water Storagementioning

confidence: 67%

Canopy wetness in the Eastern Amazon

Binks

Finnigan

Coughlin

et al. 2021

Agricultural and Forest Meteorology

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“…Tillers for water potential measurement were equilibrated in double bags in the dark for 25 min after sampling. N = 10 air temperature, influence consistency between measurements [3,18,25]. Instantaneous point measurements under set controlled cuvette conditions generally require a long time for leaves to acclimate to the new conditions within the leaf cuvette [46].…”

Section: Discussionmentioning

confidence: 99%

Fast photosynthesis measurements for phenotyping photosynthetic capacity of rice

Meng

Huang

et al. 2020

Plant Methods

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Background: Over the past decades, the structural and functional genomics of rice have been deeply studied, and high density of molecular genetic markers have been developed. However, the genetic variation in leaf photosynthesis, the most important trait for rice yield improvement, was rarely studied. The lack of photosynthesis phenotyping tools is one of the bottlenecks, as traditional direct photosynthesis measurements are very low-throughput, and recently developed high-throughput methods are indirect measurements. Hence, there is an urgent need for a fast, accurate and direct measurement approach.Result: We reported a fast photosynthesis measurement (FPM) method for phenotyping photosynthetic capacity of rice, which measures photosynthesis of excised tillers in environment-controlled lab conditions. The light response curves measured using FPM approach coped well with that the curves measured using traditional gas exchange approach. Importantly, the FPM technique achieved an average throughput of 5.4 light response curves per hour, which was 3 times faster than the 1.8 light response curves per hour using the traditional method. Tillers sampled at early morning had the highest photosynthesis, stomatal conductance and the lowest variability. In addition, even 12 h after sampling, there was no significant difference of photosynthesis rate between excised tillers and in situ. We finally investigated the genetic variations of photosynthetic traits across 568 F2 lines using the FPM technique and discussed the logistics of screening several hundred samples per day per instrumental unit using FPM to generate a wealth of photosynthetic phenotypic data, which might help to improve the selection power in large populations of rice with the ultimate aim of improving yield through improved photosynthesis. Conclusions:Here we developed a high-throughput method that can measure the rice leaf photosynthetic capacity approximately 10 times faster than traditional gas exchange approaches. Importantly, this method can overcome measurement errors caused by environmental heterogeneity under field conditions, and it is possible to measure 12 or more hours per day under lab conditions.

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“…Santiago and Dawson (2014) demonstrate that induction of photosynthesis by diffuse light prior to exposure to light flecks substantially increased LUE of understory plant species in coast redwood forests, especially in wetter sites where plants could maintain stomatal conductance in low light conditions. Berry and Goldsmith (2020) show that the LUE of tropical cloud forest species vary considerably under direct and diffuse light conditions, and that a species response to light is mediated by leaf wetness.…”

Section: Discussionmentioning

confidence: 99%

Water and Light‐Use Efficiency Are Enhanced Under Summer Coastal Fog in a California Agricultural System

et al. 2021

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California's agriculture sector has a large ecological footprint and farmers are under pressure to implement sustainable farming practices that combat climate change while sustaining their livelihoods. Economic models that incorporate climate change impacts on California agricultural production show a net negative impact on profits over the next 50 years (Deschenes & Kolstad, 2011). Similarly, global models predict crop yields to be negatively impacted by climate change (Challinor et al., 2014). Moreover, in California, water availability will become more scarce as temperatures rise (Dettinger et al., 2015;. In response to historic drought conditions, the Sustainable Groundwater Management Act (SGMA) was enacted to curtail groundwater overdraft on farms in order to sustain freshwater resources that support agriculture in the future (Rohde et al., 2017). Based on climate change impacts and scenarios, farmers should be incentivized to implement practices that minimize water-use in order to sustain crop yields

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Diffuse light and wetting differentially affect tropical tree leaf photosynthesis

Cited by 56 publications

References 57 publications

Canopy wetness in the Eastern Amazon

Canopy wetness in the Eastern Amazon

Fast photosynthesis measurements for phenotyping photosynthetic capacity of rice

Water and Light‐Use Efficiency Are Enhanced Under Summer Coastal Fog in a California Agricultural System

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