Spatio-temporal variations in photosynthesis

Terashima, Ichiro; Tang, Yanhong; Muraoka, Hiroyuki

doi:10.1007/s10265-016-0814-3

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…We were able to organize six international symposia in the past BSJ meetings held in 2014, 2015, and 2016, but only 14 articles from the initial two symposia held in 2014 have been published in 2016 as special issues (Terashima et al 2016;Kong and Okajima 2016). Our efforts will be eagerly succeeded by the new editorial members.…”

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confidence: 99%

With gratitude for the Journal of Plant Research

Nishida

2016

J Plant Res

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mentioning

confidence: 99%

With gratitude for the Journal of Plant Research

Nishida

2016

J Plant Res

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“…In a field, most of the observed daily variations in photosynthesis could be largely attributed to environmental changes, such as radiation and temperature (Willianms and Gorton 1998;Muraoka et al 2000;Lasslop et al 2010;Barron-Gafford et al 2013;Locke and Ort 2015). With measured photosynthetic photon flux density (PPFD) and other weather variables such as water and temperature, established empirical models may be able to estimate NEE and upscale CO 2 exchange from a leaf to the whole canopy (e.g., Hirose 2005;Yuan et al 2007;Louarn et al 2015;Terashima et al 2016). Nevertheless, the changes in NEE derived from EC and their relationships with leaf A observed by leaf cuvette have received little attention.…”

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confidence: 99%

The relationship between leaf and ecosystem CO2 exchanges in a maize field

Zhou

2018

Acta Physiol Plant

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The relationship between leaf photosynthetic rate (A) in a vegetation canopy and the net ecosystem CO 2 exchange (NEE) over an entire ecosystem is not well understood. The aim of the present study is to assess the coordinated changes in NEE derived with eddy covariance, A measured in leaf cuvette, and their associations in a rainfed maize field. The light response-curves were estimated for the carbon assimilation rate at both the leaf and ecosystem scales. NEE and A synchronically changed throughout the day and were greater around noon and persisted longer during rapid growth periods. The leaf A had a similar pattern of daytime changes in the top, middle, and bottom leaves. Only severe leaf ageing led to a significant decline in the maximum efficiency of photosystem II (PSII) photochemistry. The greater maximum NEE was associated with a higher ecosystem quantum yield. NEE was positively and significantly correlated with the leaf A averaged based on the vertical distribution of leaf area. The finding highlights the feasibility of assessing NEE by leaf CO 2 exchange because of most of experimental data obtained with leaf cuvette methods; and also implies that simultaneously enhancing leaf photosynthetic rate, electron transport rate, net carbon assimilation at whole ecosystem might play a critical role for the enhancement of crop productivity.

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