CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity
The uncertainty of carbon fluxes of the terrestrial ecosystem is the highest among all flux components, calling for more accurate and efficient means to monitor land sinks. Gross primary productivity (GPP) is a key index to estimate the terrestrial ecosystem carbon flux, which describes the total am...
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doaj-790a1d69cdf94014830af62164e416412020-11-25T03:06:04ZengMDPI AGRemote Sensing2072-42922020-04-01121377137710.3390/rs12091377CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary ProductivityRuonan Qiu0Ge Han1Xin Ma2Zongyao Sha3Tianqi Shi4Hao Xu5Miao Zhang6School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaSchool of Environmental Science and Tourism, Nanyang Normal University, Nanyang 473061, ChinaThe uncertainty of carbon fluxes of the terrestrial ecosystem is the highest among all flux components, calling for more accurate and efficient means to monitor land sinks. Gross primary productivity (GPP) is a key index to estimate the terrestrial ecosystem carbon flux, which describes the total amount of organic carbon fixed by green plants through photosynthesis. In recent years, the solar-induced chlorophyll fluorescence (SIF), which is a probe for vegetation photosynthesis and can quickly reflect the state of vegetation growth, emerges as a novel and promising proxy to estimate GPP. The launch of Orbiting Carbon Observatory 2 (OCO-2) further makes it possible to estimate GPP at a finer spatial resolution compared with Greenhouse Gases Observing Satellite (GOSAT), Global Ozone Monitoring Experiment-2 (GOME-2) and SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). However, whether the relationship between GPP and SIF is linear or non-linear has always been controversial. In this research, we proposed a new model to estimate GPP using SIF and the atmospheric CO<sub>2</sub> concentration from OCO-2 as critical driven factors simultaneously (SIF-CO<sub>2</sub>-GPP model). Evidences from all sites show that the introduction of the atmospheric CO2 concentration improves accuracies of estimated GPP. Compared with the SIF-CO<sub>2</sub>-GPP linear model, we found the SIF-GPP model overestimated GPP in summer and autumn but underestimated it in spring and winter. A series of simulation experiments based on SCOPE (Soil-Canopy Observation of Photosynthesis and Energy) was carried out to figure out the possible mechanism of improved estimates of GPP due to the introduction of atmospheric CO<sub>2</sub> concentrations. These experiments also demonstrate that there could be a non-linear relationship between SIF and GPP at half an hour timescale. Moreover, such relationships vary with CO<sub>2</sub> concentration. As OCO-2 is capable of providing SIF and XCO<sub>2</sub> products with identical spatial and temporal scales, the SIF-CO<sub>2</sub>-GPP linear model would be implemented conveniently to monitor GPP using remotely sensed data. With the help of OCO-3 and its successors, the proposed SIF-CO<sub>2</sub>-GPP linear model would play a significant role in monitoring GPP accurately in large geographical extents.https://www.mdpi.com/2072-4292/12/9/1377solar-induced chlorophyll fluorescence (SIF)CO<sub>2</sub>gross primary productivity (GPP)SCOPE (soil-canopy observation of photosynthesis and energy)photosynthesisOCO-2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruonan Qiu Ge Han Xin Ma Zongyao Sha Tianqi Shi Hao Xu Miao Zhang |
spellingShingle |
Ruonan Qiu Ge Han Xin Ma Zongyao Sha Tianqi Shi Hao Xu Miao Zhang CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity Remote Sensing solar-induced chlorophyll fluorescence (SIF) CO<sub>2</sub> gross primary productivity (GPP) SCOPE (soil-canopy observation of photosynthesis and energy) photosynthesis OCO-2 |
author_facet |
Ruonan Qiu Ge Han Xin Ma Zongyao Sha Tianqi Shi Hao Xu Miao Zhang |
author_sort |
Ruonan Qiu |
title |
CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity |
title_short |
CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity |
title_full |
CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity |
title_fullStr |
CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity |
title_full_unstemmed |
CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity |
title_sort |
co<sub>2</sub> concentration, a critical factor influencing the relationship between solar-induced chlorophyll fluorescence and gross primary productivity |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-04-01 |
description |
The uncertainty of carbon fluxes of the terrestrial ecosystem is the highest among all flux components, calling for more accurate and efficient means to monitor land sinks. Gross primary productivity (GPP) is a key index to estimate the terrestrial ecosystem carbon flux, which describes the total amount of organic carbon fixed by green plants through photosynthesis. In recent years, the solar-induced chlorophyll fluorescence (SIF), which is a probe for vegetation photosynthesis and can quickly reflect the state of vegetation growth, emerges as a novel and promising proxy to estimate GPP. The launch of Orbiting Carbon Observatory 2 (OCO-2) further makes it possible to estimate GPP at a finer spatial resolution compared with Greenhouse Gases Observing Satellite (GOSAT), Global Ozone Monitoring Experiment-2 (GOME-2) and SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). However, whether the relationship between GPP and SIF is linear or non-linear has always been controversial. In this research, we proposed a new model to estimate GPP using SIF and the atmospheric CO<sub>2</sub> concentration from OCO-2 as critical driven factors simultaneously (SIF-CO<sub>2</sub>-GPP model). Evidences from all sites show that the introduction of the atmospheric CO2 concentration improves accuracies of estimated GPP. Compared with the SIF-CO<sub>2</sub>-GPP linear model, we found the SIF-GPP model overestimated GPP in summer and autumn but underestimated it in spring and winter. A series of simulation experiments based on SCOPE (Soil-Canopy Observation of Photosynthesis and Energy) was carried out to figure out the possible mechanism of improved estimates of GPP due to the introduction of atmospheric CO<sub>2</sub> concentrations. These experiments also demonstrate that there could be a non-linear relationship between SIF and GPP at half an hour timescale. Moreover, such relationships vary with CO<sub>2</sub> concentration. As OCO-2 is capable of providing SIF and XCO<sub>2</sub> products with identical spatial and temporal scales, the SIF-CO<sub>2</sub>-GPP linear model would be implemented conveniently to monitor GPP using remotely sensed data. With the help of OCO-3 and its successors, the proposed SIF-CO<sub>2</sub>-GPP linear model would play a significant role in monitoring GPP accurately in large geographical extents. |
topic |
solar-induced chlorophyll fluorescence (SIF) CO<sub>2</sub> gross primary productivity (GPP) SCOPE (soil-canopy observation of photosynthesis and energy) photosynthesis OCO-2 |
url |
https://www.mdpi.com/2072-4292/12/9/1377 |
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