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Title: Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest

Abstract

Water-use efficiency (WUE) is a critical variable describing the interrelationship between carbon uptake and water loss in land ecosystems. Different WUE formulations (WUEs) including intrinsic water use efficiency (WUEi), inherent water use efficiency (IWUE), and underlying water use efficiency (uWUE) have been proposed. Based on continuous measurements of carbon and water fluxes and solar-induced chlorophyll fluorescence (SIF) at a temperate forest, we analyze the correlations between SIF emission and the different WUEs at the canopy level by using linear regression (LR) and Gaussian processes regression (GPR) models. Overall, we find that SIF emission has a good potential to estimate IWUE and uWUE, especially when a combination of different SIF bands and a GPR model is used. At an hourly time step, canopy-level SIF emission can explain as high as 65% and 61% of the variances in IWUE and uWUE. Specifically, we find that (1) a daily time step by averaging hourly values during daytime can enhance the SIF-IWUE correlations, (2) the SIF-IWUE correlations decrease when photosynthetically active radiation and air temperature exceed their optimal biological thresholds, (3) a low Leaf Area Index (LAI) has a negative effect on the SIF-IWUE correlations due to large evaporation fluxes, (4) a high LAImore » in summer also reduces the SIF-IWUE correlations most likely due to increasing scattering and (re)absorption of the SIF signal, and (5) the observation time during the day has a strong impact on the SIF-IWUE correlations and SIF measurements in the early morning have the lowest power to estimate IWUE due to the large evaporation of dew. This study provides a new way to evaluate the stomatal regulation of plant-gas exchange without complex parameterizations.« less

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5]
  1. Oregon State Univ., Corvallis, OR (United States). Dept. of Forest Ecosystems and Society; Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
  2. Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center; Nanjing Univ. (China). School of life sciences
  3. Iowa State Univ., Ames, IA (United States). Dept. of Geological and Atmospheric Sciences
  4. Columbia Univ., New York, NY (United States). Dept. of Earth and Environmental Engineering
  5. Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
Publication Date:
Research Org.:
Marine Biological Lab., Woods Hole, MA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Science Foundation (NSF)
OSTI Identifier:
1499904
Grant/Contract Number:  
SC0006951; DBI 959333; AGS-1005663
Resource Type:
Accepted Manuscript
Journal Name:
Remote Sensing
Additional Journal Information:
Journal Volume: 10; Journal Issue: 5; Journal ID: ISSN 2072-4292
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; solar-induced chlorophyll fluorescence; water use efficiency; leaf area index; observation time; regression analysis

Citation Formats

Lu, Xiaoliang, Liu, Zhunqiao, Zhou, Yuyu, Liu, Yaling, and Tang, Jianwu. Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest. United States: N. p., 2018. Web. doi:10.3390/rs10050796.
Lu, Xiaoliang, Liu, Zhunqiao, Zhou, Yuyu, Liu, Yaling, & Tang, Jianwu. Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest. United States. doi:10.3390/rs10050796.
Lu, Xiaoliang, Liu, Zhunqiao, Zhou, Yuyu, Liu, Yaling, and Tang, Jianwu. Sun . "Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest". United States. doi:10.3390/rs10050796. https://www.osti.gov/servlets/purl/1499904.
@article{osti_1499904,
title = {Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest},
author = {Lu, Xiaoliang and Liu, Zhunqiao and Zhou, Yuyu and Liu, Yaling and Tang, Jianwu},
abstractNote = {Water-use efficiency (WUE) is a critical variable describing the interrelationship between carbon uptake and water loss in land ecosystems. Different WUE formulations (WUEs) including intrinsic water use efficiency (WUEi), inherent water use efficiency (IWUE), and underlying water use efficiency (uWUE) have been proposed. Based on continuous measurements of carbon and water fluxes and solar-induced chlorophyll fluorescence (SIF) at a temperate forest, we analyze the correlations between SIF emission and the different WUEs at the canopy level by using linear regression (LR) and Gaussian processes regression (GPR) models. Overall, we find that SIF emission has a good potential to estimate IWUE and uWUE, especially when a combination of different SIF bands and a GPR model is used. At an hourly time step, canopy-level SIF emission can explain as high as 65% and 61% of the variances in IWUE and uWUE. Specifically, we find that (1) a daily time step by averaging hourly values during daytime can enhance the SIF-IWUE correlations, (2) the SIF-IWUE correlations decrease when photosynthetically active radiation and air temperature exceed their optimal biological thresholds, (3) a low Leaf Area Index (LAI) has a negative effect on the SIF-IWUE correlations due to large evaporation fluxes, (4) a high LAI in summer also reduces the SIF-IWUE correlations most likely due to increasing scattering and (re)absorption of the SIF signal, and (5) the observation time during the day has a strong impact on the SIF-IWUE correlations and SIF measurements in the early morning have the lowest power to estimate IWUE due to the large evaporation of dew. This study provides a new way to evaluate the stomatal regulation of plant-gas exchange without complex parameterizations.},
doi = {10.3390/rs10050796},
journal = {Remote Sensing},
number = 5,
volume = 10,
place = {United States},
year = {2018},
month = {5}
}

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