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022 | _a0176-1617 | ||
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_aMSU _bEnglish _cMSU _erda |
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050 | 0 | 0 | _aQK711.2 JOU |
100 | 1 |
_aGitelson, Anatoly A. _eauthor |
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245 | 1 | 0 |
_aProductivity, absorbed photosynthetically active radiation, and light use efficiency in crops: _bimplications for remote sensing of crop primary production _ccreated by Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer, Andrew E. Suyker |
264 | 1 |
_aAmsterdam: _bElsevier GmbH, _c2015. |
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336 |
_2rdacontent _atext _btxt |
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337 |
_2rdamedia _aunmediated _bn |
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338 |
_2rdacarrier _avolume _bnc |
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440 |
_aJournal of Plant Physiology _vVolume 177 |
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520 | 3 | _aVegetation productivity metrics such as gross primary production (GPP) at the canopy scale are greatly affected by the efficiency of using absorbed radiation for photosynthesis, or light use efficiency (LUE). Thus, close investigation of the relationships between canopy GPP and photosynthetically active radiation absorbed by vegetation is the basis for quantification of LUE. We used multiyear observations over irrigated and rainfed contrasting C3 (soybean) and C4 (maize) crops having different physiology, leaf structure, and canopy architecture to establish the relationships between canopy GPP and radiation absorbed by vegetation and quantify LUE. Although multiple LUE definitions are reported in the literature, we used a definition of efficiency of light use by photosynthetically active “green” vegetation (LUEgreen) based on radiation absorbed by “green” photosynthetically active vegetation on a daily basis. We quantified, irreversible slowly changing seasonal (constitutive) and rapidly day-to-day changing (facultative) LUEgreen, as well as sensitivity of LUEgreen to the magnitude of incident radiation and drought events. Large (2–3-fold) variation of daily LUEgreen over the course of a growing season that is governed by crop physiological and phenological status was observed. The day-to-day variations of LUEgreen oscillated with magnitude 10–15% around the seasonal LUEgreen trend and appeared to be closely related to day-to-day variations of magnitude and composition of incident radiation. Our results show the high variability of LUEgreen between C3 and C4 crop species (1.43 gC/MJ vs. 2.24 gC/MJ, respectively), as well as within single crop species (i.e., maize or soybean). This implies that assuming LUEgreen as a constant value in GPP models is not warranted for the crops studied, and brings unpredictable uncertainties of remote GPP estimation, which should be accounted for in LUE models. The uncertainty of GPP estimation due to facultative and constitutive changes in LUEgreen can be considered as a critical component of the total error budget in the context of remotely sensed based estimations of GPP. The quantitative framework of LUEgreen estimation presented here offers a way of characterizing LUEgreen in plants that can be used to assess their phenological and physiological status and vulnerability to drought under current and future climatic conditions and is essential for calibration and validation of globally applied LUE algorithms. | |
650 | _aAbsorbed radiation | ||
650 | _aGross primary production | ||
650 | _aLight use efficiency | ||
700 |
_aPeng, Yi _eco-author |
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700 |
_aArkebauer, Timothy J. _eco-author |
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700 |
_aSuyker, Andrew E. _eco-author |
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856 | _uhttps://doi.org/10.1016/j.jplph.2014.12.015 | ||
942 |
_2lcc _cJA |
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999 |
_c169292 _d169292 |