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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2021
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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 |
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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 |
work_keys_str_mv |
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