Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network

Ecosystem light use efficiency (ELUE) is generally defined as the ratio of gross primarily productivity (GPP) to photosynthetically active radiation (PAR), which is an important ecological indictor used in dry matter prediction. Herein, investigating the dynamics of ELUE and its controlling factors...

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Autores principales: Fei Chen, Ningbo Cui, Yaowei Huang, Xiaotao Hu, Daozhi Gong, Yaosheng Wang, Min Lv, Shouzheng Jiang
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/29b55696edf645028e5685d0e70c66b1
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spelling oai:doaj.org-article:29b55696edf645028e5685d0e70c66b12021-11-25T19:03:12ZInvestigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network10.3390/su1322126732071-1050https://doaj.org/article/29b55696edf645028e5685d0e70c66b12021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12673https://doaj.org/toc/2071-1050Ecosystem light use efficiency (ELUE) is generally defined as the ratio of gross primarily productivity (GPP) to photosynthetically active radiation (PAR), which is an important ecological indictor used in dry matter prediction. Herein, investigating the dynamics of ELUE and its controlling factors is of great significance for simulating ecosystem photosynthetic production. Using 35 site-years eddy covariance fluxes and meteorological data collected at 11 cropland sites globally, we investigated the dynamics of ELUE and its controlling factors in four agroecosystems with paddy rice, soybean, summer maize and winter wheat. A “U” diurnal pattern of hourly ELUE was found in all the fields, and daily ELUE varied with crop growth. The ELUE for the growing season of summer maize was highest with 0.92 ± 0.06 g C MJ<sup>−1</sup>, followed by soybean (0.80 ± 0.16 g C MJ<sup>−1</sup>), paddy rice (0.77 ± 0.24 g C MJ<sup>−1</sup>) and winter wheat (0.72 ± 0.06 g C MJ<sup>−1</sup>). Correlation analysis showed that ELUE positively correlated with air temperature (T<sub>a</sub>), normalized difference vegetation index (NDVI), evaporative fraction (EF) and canopy conductance (g<sub>c</sub>, except for paddy rice sites), while it negatively correlated with the vapor water deficit (VPD). Besides, ELUE decreased in the days after a precipitation event during the active growing seasons. The path analysis revealed that the controlling variables considered in this study can account for 73.7%, 85.3%, 75.3% and 65.5% of the total ELUE variation in the rice, soybean, maize and winter wheat fields, respectively. NDVI is the most confident estimators for ELUE in the four ecosystems. Water availability plays a secondary role controlling ELUE, and the vegetation productivity is more constrained by water availability than T<sub>a</sub> in summer maize, soybean and winter wheat. The results can help us better understand the interactive influences of environmental and biophysical factors on ELUE.Fei ChenNingbo CuiYaowei HuangXiaotao HuDaozhi GongYaosheng WangMin LvShouzheng JiangMDPI AGarticleecosystem light use efficiencyagroecosystemgross primary productionFluxdata networkEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12673, p 12673 (2021)
institution DOAJ
collection DOAJ
language EN
topic ecosystem light use efficiency
agroecosystem
gross primary production
Fluxdata network
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle ecosystem light use efficiency
agroecosystem
gross primary production
Fluxdata network
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Fei Chen
Ningbo Cui
Yaowei Huang
Xiaotao Hu
Daozhi Gong
Yaosheng Wang
Min Lv
Shouzheng Jiang
Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network
description Ecosystem light use efficiency (ELUE) is generally defined as the ratio of gross primarily productivity (GPP) to photosynthetically active radiation (PAR), which is an important ecological indictor used in dry matter prediction. Herein, investigating the dynamics of ELUE and its controlling factors is of great significance for simulating ecosystem photosynthetic production. Using 35 site-years eddy covariance fluxes and meteorological data collected at 11 cropland sites globally, we investigated the dynamics of ELUE and its controlling factors in four agroecosystems with paddy rice, soybean, summer maize and winter wheat. A “U” diurnal pattern of hourly ELUE was found in all the fields, and daily ELUE varied with crop growth. The ELUE for the growing season of summer maize was highest with 0.92 ± 0.06 g C MJ<sup>−1</sup>, followed by soybean (0.80 ± 0.16 g C MJ<sup>−1</sup>), paddy rice (0.77 ± 0.24 g C MJ<sup>−1</sup>) and winter wheat (0.72 ± 0.06 g C MJ<sup>−1</sup>). Correlation analysis showed that ELUE positively correlated with air temperature (T<sub>a</sub>), normalized difference vegetation index (NDVI), evaporative fraction (EF) and canopy conductance (g<sub>c</sub>, except for paddy rice sites), while it negatively correlated with the vapor water deficit (VPD). Besides, ELUE decreased in the days after a precipitation event during the active growing seasons. The path analysis revealed that the controlling variables considered in this study can account for 73.7%, 85.3%, 75.3% and 65.5% of the total ELUE variation in the rice, soybean, maize and winter wheat fields, respectively. NDVI is the most confident estimators for ELUE in the four ecosystems. Water availability plays a secondary role controlling ELUE, and the vegetation productivity is more constrained by water availability than T<sub>a</sub> in summer maize, soybean and winter wheat. The results can help us better understand the interactive influences of environmental and biophysical factors on ELUE.
format article
author Fei Chen
Ningbo Cui
Yaowei Huang
Xiaotao Hu
Daozhi Gong
Yaosheng Wang
Min Lv
Shouzheng Jiang
author_facet Fei Chen
Ningbo Cui
Yaowei Huang
Xiaotao Hu
Daozhi Gong
Yaosheng Wang
Min Lv
Shouzheng Jiang
author_sort Fei Chen
title Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network
title_short Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network
title_full Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network
title_fullStr Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network
title_full_unstemmed Investigating the Patterns and Controls of Ecosystem Light Use Efficiency with the Data from the Global Farmland Fluxdata Network
title_sort investigating the patterns and controls of ecosystem light use efficiency with the data from the global farmland fluxdata network
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/29b55696edf645028e5685d0e70c66b1
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