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Relevant bibliographies by topics / Light use efficiency (LUE) model

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Journal articles

Academic literature on the topic 'Light use efficiency (LUE) model'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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Journal articles on the topic "Light use efficiency (LUE) model"

1

Zhang, Jun, Xufeng Wang, and Jun Ren. "Simulation of Gross Primary Productivity Using Multiple Light Use Efficiency Models." Land 10, no. 3 (2021): 329. http://dx.doi.org/10.3390/land10030329.

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Gross primary productivity (GPP) is the most basic variable in a carbon cycle study that determines the carbon that enters the ecosystem. The remote sensing-based light use efficiency (LUE) model is one of the primary tools that is currently used to estimate the GPP at the regional scale. Many remote sensing-based GPP models have been developed in the last several decades, and these models have been well evaluated at some sites. However, an accurate estimation of the GPP remains challenging work using LUE models because of uncertainties in the model caused by model parameters, model forcing, a

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2

McCallum, I., O. Franklin, E. Moltchanova, et al. "Improved light and temperature responses for light-use-efficiency-based GPP models." Biogeosciences 10, no. 10 (2013): 6577–90. http://dx.doi.org/10.5194/bg-10-6577-2013.

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Abstract. Gross primary production (GPP) is the process by which carbon enters ecosystems. Models based on the theory of light use efficiency (LUE) have emerged as an efficient method to estimate ecosystem GPP. However, problems have been noted when applying global parameterizations to biome-level applications. In particular, model–data comparisons of GPP have shown that models (including LUE models) have difficulty matching estimated GPP. This is significant as errors in simulated GPP may propagate through models (e.g. Earth system models). Clearly, unique biome-level characteristics must be

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3

McCallum, I., O. Franklin, E. Moltchanova, et al. "Improved light and temperature responses for light use efficiency based GPP models." Biogeosciences Discussions 10, no. 5 (2013): 8919–47. http://dx.doi.org/10.5194/bgd-10-8919-2013.

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Abstract. Gross primary production (GPP) is the process by which carbon enters ecosystems. Diagnostic models, based on the theory of light use efficiency (LUE) have emerged as one method to estimate ecosystem GPP. However, problems have been noted particularly when applying global results at regional levels. We hypothesize that accounting for non-linear light response and temperature acclimation of daily GPP in boreal regions will improve model performance. To test this hypothesis, we have chosen four diagnostic models for comparison, namely: an LUE model (linear in its light response) both wi

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4

Goerner, A., M. Reichstein, E. Tomelleri, et al. "Remote sensing of ecosystem light use efficiency with MODIS-based PRI." Biogeosciences 8, no. 1 (2011): 189–202. http://dx.doi.org/10.5194/bg-8-189-2011.

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Abstract. Several studies sustained the possibility that a photochemical reflectance index (PRI) directly obtained from satellite data can be used as a proxy for ecosystem light use efficiency (LUE) in diagnostic models of gross primary productivity. This modelling approach would avoid the complications that are involved in using meteorological data as constraints for a fixed maximum LUE. However, no unifying model predicting LUE across climate zones and time based on MODIS PRI has been published to date. In this study, we evaluate the effectiveness with which MODIS-based PRI can be used to es

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5

Xie, Zhiying, Cenliang Zhao, Wenquan Zhu, Hui Zhang, and Yongshuo H. Fu. "A Radiation-Regulated Dynamic Maximum Light Use Efficiency for Improving Gross Primary Productivity Estimation." Remote Sensing 15, no. 5 (2023): 1176. http://dx.doi.org/10.3390/rs15051176.

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The light use efficiency (LUE) model has been widely used in regional and global terrestrial gross primary productivity (GPP) estimation due to its simple structure, few input parameters, and particular theoretical basis. As a key input parameter of the LUE model, the maximum LUE (Ɛmax) is crucial for the accurate estimation of GPP and to the interpretability of the LUE model. Currently, most studies have assumed Ɛmax as a universal constant or constants depending on vegetation type, which means that the spatiotemporal dynamics of Ɛmax were ignored, leading to obvious uncertainties in LUE-base

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6

Wellington, Michael J., Petra Kuhnert, Luigi J. Renzullo, and Roger Lawes. "Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland." Remote Sensing 14, no. 6 (2022): 1495. http://dx.doi.org/10.3390/rs14061495.

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Gross Primary Productivity (GPP) for cropland is often estimated using a fixed value for maximum light use efficiency (LUEmax) which is reduced to light use efficiency (LUE) by environmental stress scalars. This may not reflect variation in LUE within a crop season, and environmental stress scalars developed for ecosystem scale modelling may not apply linearly to croplands. We predicted LUE on several vegetation indices, crop type, and agroclimatic predictors using supervised random forest regression with training data from flux towers. Using a fixed LUEmax and environmental stress scalars pro

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7

Goerner, A., M. Reichstein, E. Tomelleri, et al. "Remote sensing of ecosystem light use efficiency with MODIS-based PRI – the DOs and DON'Ts." Biogeosciences Discussions 7, no. 5 (2010): 6935–69. http://dx.doi.org/10.5194/bgd-7-6935-2010.

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Abstract. Several studies sustained the possibility that a photochemical reflectance index (PRI) directly obtained from satellite data can be used as a proxy for ecosystem light use efficiency (LUE) in diagnostic models of gross primary productivity. This modelling approach would avoid the complications that are involved in using meteorological data as constraints for a fixed maximum LUE. However, no unifying model predicting LUE across climate zones and time based on MODIS PRI has been published to date. In this study, we evaluate the efficiency with which MODIS-based PRI can be used to estim

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8

Wang, S., Z. Li, Y. Zhang, D. Yang, and C. Ni. "LINKING PHOTOSYNTHETIC LIGHT USE EFFICIENCY AND OPTICAL VEGETATION ACTIVE INDICATORS: IMPLICATIONS FOR GROSS PRIMARY PRODUCTION ESTIMATION BY REMOTE SENSING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 571–78. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-571-2020.

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Abstract. Over the last 40 years, the light use efficiency (LUE) model has become a popular approach for gross primary productivity (GPP) estimation in the carbon and remote sensing communities. Despite the fact that the LUE model provides a simple but effective way to approximate GPP at ecosystem to global scales from remote sensing data, when implemented in real GPP modelling, however, the practical form of the model can vary. By reviewing different forms of LUE model and their performances at ecosystem to global scales, we conclude that the relationships between LUE and optical vegetation a

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9

RATJEN, A. M., and H. KAGE. "Nitrogen-limited light use efficiency in wheat crop simulators: comparing three model approaches." Journal of Agricultural Science 154, no. 6 (2015): 1090–101. http://dx.doi.org/10.1017/s0021859615001082.

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SUMMARYThree different explanatory indicators for reduced light use efficiency (LUE) under limited nitrogen (N) supply were evaluated. The indicators can be used to adapt dry matter production of crop simulators to N-limited growth conditions. The first indicator, nitrogen factor (NFAC), originates from the CERES-Wheat model and calculates the critical N concentration of the shoot as a function of phenological development. The second indicator, N nutrition index (NNI), calculates a critical N concentration as a function of shoot dry matter. The third indicator, specific leaf nitrogen (SLN) ind

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10

Wang, H., I. C. Prentice, and J. Ni. "Primary production in forests and grasslands of China: contrasting environmental responses of light- and water-use efficiency models." Biogeosciences 9, no. 11 (2012): 4689–705. http://dx.doi.org/10.5194/bg-9-4689-2012.

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Abstract. An extensive data set on net primary production (NPP) in China's forests is analysed with the help of two simple theoretically derived models based on the light use efficiency (LUE) and water use efficiency (WUE) concepts, respectively. The two models describe the data equally well, but their implied responses to [CO2] and temperature differ substantially. These responses are illustrated by sensitivity tests in which [CO2] is kept constant or doubled, temperatures are kept constant or increased by 3.5 K, and precipitation is changed by ±10%. Precipitation changes elicit similar respo

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