The Afternoon/Morning Ratio of Tower-Based Solar-Induced Chlorophyll Fluorescence Can Be Used to Monitor Drought in a Chinese Cork Oak Plantation
Abstract
:1. Introduction
2. Materials and Methods
2.1. Site Description
2.2. Measurements
2.2.1. Tower-Based Measurements of Canopy SIF (F)
2.2.2. Eddy Covariance Flux and Micrometeorology Factor Measurements
2.2.3. The Fraction of Absorbed Photosynthetically Active Radiation (fPAR) Measurements
2.3. Calculation and Data Analysis
2.3.1. Calculation of PWSI
2.3.2. Calculation of Canopy Structural and Physiological Components
2.3.3. Quantification of Afternoon Depression
2.3.4. Data Quality Control and Analysis
3. Results
3.1. Time Patterns of SIF in Response to Drought
3.1.1. Seasonal Patterns of SIF in Response to Drought
3.1.2. Diurnal Patterns of SIF in Response to Drought
3.2. Relationships between PWSI and F, ΦF, AMRF and AMRΦF
3.3. Effect of Non-Physiologic Factors on the Response of F and AMRF to Drought Stress
3.4. AMRΦF Can Track the Physiological Response to Drought
4. Discussion
4.1. Physiological and Non-Physiological Effects on SIF Response to Drought
4.2. Rationale for Afternoon Depression of SIF in Response to Drought
4.3. Differences of Response to Drought of SIF in the Red and Far-Red Band
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Lorenz, K.; Lal, R. Carbon Sequestration in Forest Ecosystems; Springer: Berlin/Heidelberg, Germany, 2009. [Google Scholar]
- Hui, D.; Deng, Q.; Tian, H.; Luo, Y. Climate Change and Carbon Sequestration in Forest Ecosystems. In Handbook of Climate Change Mitigation and Adaptation; Springer Science + Business Media: New York, NY, USA, 2015; pp. 1–40. [Google Scholar]
- Chen, S.; Huang, Y.; Wang, G. Detecting drought-induced GPP spatiotemporal variabilities with sun-induced chlorophyll fluorescence during the 2009/2010 droughts in China. Ecol. Indic. 2021, 121, 107092. [Google Scholar] [CrossRef]
- McDowell, N.G.; Allen, C.D. Darcy’s law predicts widespread forest mortality under climate warming. Nat. Clim. Chang. 2015, 5, 669–672. [Google Scholar] [CrossRef]
- Pachauri, R.K.; Allen, M.R.; Barros, V.R.; Broome, J.; Cramer, W.; Christ, R.; Church, J.A.; Clarke, L.; Dahe, Q.; Dasgupta, P. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Ipcc: Geneva, Switzerland, 2014. [Google Scholar]
- Zhang, X.; Li, X.; Manzanedo, R.D.; D’orangeville, L.; Lv, P.; Wang, C.; Xu, C.; Hou, M.; Huang, X.; Rademacher, T.T. High risk of growth cessation of planted larch under extreme drought. Environ. Res. Lett. 2020, 16, 014040. [Google Scholar] [CrossRef]
- Wang, S.; Huang, C.; Zhang, L.; Lin, Y.; Cen, Y.; Wu, T. Monitoring and Assessing the 2012 Drought in the Great Plains: Analyzing Satellite-Retrieved Solar-Induced Chlorophyll Fluorescence, Drought Indices, and Gross Primary Production. Remote Sens. 2016, 8, 61. [Google Scholar] [CrossRef]
- West, H.; Quinn, N.; Horswell, M. Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities. Remote Sens. Environ. 2019, 232, 111291. [Google Scholar] [CrossRef]
- Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sens. 2013, 5, 949–981. [Google Scholar] [CrossRef]
- Zhou, L.; Zhou, X.; Zhang, B.; Lu, M.; Luo, Y.; Liu, L.; Li, B. Different responses of soil respiration and its components to nitrogen addition among biomes: A meta-analysis. Glob. Chang. Biol. 2014, 20, 2332–2343. [Google Scholar] [CrossRef] [PubMed]
- Meroni, M.; Rossini, M.; Guanter, L.; Alonso, L.; Rascher, U.; Colombo, R.; Moreno, J. Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications. Remote Sens. Environ. 2009, 113, 2037–2051. [Google Scholar] [CrossRef]
- Lin, J.; Shen, Q.; Wu, J.; Zhao, W.; Liu, L. Assessing the Potential of Downscaled Far Red Solar-Induced Chlorophyll Fluorescence from the Canopy to Leaf Level for Drought Monitoring in Winter Wheat. Remote Sens. 2022, 14, 1357. [Google Scholar] [CrossRef]
- Jiao, W.; Chang, Q.; Wang, L. The Sensitivity of Satellite Solar-Induced Chlorophyll Fluorescence to Meteorological Drought. Earth’s Futur. 2019, 7, 558–573. [Google Scholar] [CrossRef]
- Yang, P.; van der Tol, C. Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance. Remote Sens. Environ. 2018, 209, 456–467. [Google Scholar] [CrossRef]
- Baker, N.R. Chlorophyll fluorescence: A probe of photosynthesis in vivo. Annu. Rev. Plant Biol. 2008, 59, 89–113. [Google Scholar] [CrossRef]
- Porcar-Castell, A.; Tyystjarvi, E.; Atherton, J.; van der Tol, C.; Flexas, J.; Pfuendel, E.E.; Moreno, J.; Frankenberg, C.; Berry, J.A. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: Mechanisms and challenges. J. Exp. Bot. 2014, 65, 4065–4095. [Google Scholar] [CrossRef] [PubMed]
- Magney, T.S.; Bowling, D.R.; Logan, B.; Grossmann, K.; Stutz, J.; Blanken, P.D.; Burns, S.P.; Cheng, R.; Garcia, M.A.; Köhler, P.; et al. Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence. Proc. Natl. Acad. Sci. USA 2019, 116, 11640–11645. [Google Scholar] [CrossRef]
- Buareal, K.; Kato, T.; Morozumi, T.; Ono, K.; Nakashima, N. Red solar-induced chlorophyll fluorescence as a robust proxy for ecosystem-level photosynthesis in a rice field. Agric. For. Meteorol. 2023, 336, 109473. [Google Scholar] [CrossRef]
- Guanter, L.; Zhang, Y.; Jung, M.; Joiner, J.; Voigt, M.; Berry, J.A.; Frankenberg, C.; Huete, A.R.; Zarco-Tejada, P.; Lee, J.-E.; et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl. Acad. Sci. USA 2014, 111, E1327–E1333. [Google Scholar] [CrossRef]
- Frankenberg, C.; O’Dell, C.; Berry, J.; Guanter, L.; Joiner, J.; Köhler, P.; Pollock, R.; Taylor, T.E. Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2. Remote Sens. Environ. 2014, 147, 1–12. [Google Scholar] [CrossRef]
- Porcar-Castell, A.; Malenovský, Z.; Magney, T.; Van Wittenberghe, S.; Fernández-Marín, B.; Maignan, F.; Zhang, Y.; Maseyk, K.; Atherton, J.; Albert, L.P.; et al. Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science. Nat. Plants 2021, 7, 998–1009. [Google Scholar] [CrossRef]
- Zhao, W.; Wu, J.; Shen, Q.; Yang, J.; Han, X. Exploring the Ability of Solar-Induced Chlorophyll Fluorescence for Drought Monitoring Based on an Intelligent Irrigation Control System. Remote Sens. 2022, 14, 6157. [Google Scholar] [CrossRef]
- Sun, Y.; Fu, R.; Dickinson, R.; Joiner, J.; Frankenberg, C.; Gu, L.; Xia, Y.; Fernando, N. Drought onset mechanisms revealed by satellite solar-induced chlorophyll fluorescence: Insights from two contrasting extreme events. J. Geophys. Res. Biogeosciences 2015, 120, 2427–2440. [Google Scholar] [CrossRef]
- Liu, Y.; Dang, C.; Yue, H.; Lyu, C.; Dang, X. Enhanced drought detection and monitoring using sun-induced chlorophyll fluorescence over Hulun Buir Grassland, China. Sci. Total. Environ. 2021, 770, 145271. [Google Scholar] [CrossRef] [PubMed]
- Damm, A.; Guanter, L.; Paul-Limoges, E.; van der Tol, C.; Hueni, A.; Buchmann, N.; Eugster, W.; Ammann, C.; Schaepman, M. Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches. Remote Sens. Environ. 2015, 166, 91–105. [Google Scholar] [CrossRef]
- van der Tol, C.; Berry, J.A.; Campbell, P.K.E.; Rascher, U. Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence. J. Geophys. Res. Biogeosciences 2014, 119, 2312–2327. [Google Scholar] [CrossRef] [PubMed]
- Wang, N.; Yang, P.; Clevers, J.G.P.W.; Wieneke, S.; Kooistra, L. Decoupling physiological and non-physiological responses of sugar beet to water stress from sun-induced chlorophyll fluorescence. Remote Sens. Environ. 2023, 286, 113445. [Google Scholar] [CrossRef]
- Hwang, Y.; Kim, J.; Ryu, Y. Canopy structural changes explain reductions in canopy-level solar induced chlorophyll fluorescence in Prunus yedoensis seedlings under a drought stress condition. Remote Sens. Environ. 2023, 296, 113733. [Google Scholar] [CrossRef]
- Yang, P.; Liu, X.; Liu, Z.; van der Tol, C.; Liu, L. The roles of radiative, structural and physiological information of sun-induced chlorophyll fluorescence in predicting gross primary production of a corn crop at various temporal scales. Agric. For. Meteorol. 2023, 342, 109720. [Google Scholar] [CrossRef]
- Dechant, B.; Ryu, Y.; Badgley, G.; Zeng, Y.; Berry, J.A.; Zhang, Y.; Goulas, Y.; Li, Z.; Zhang, Q.; Kang, M.; et al. Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops. Remote Sens. Environ. 2020, 241, 111733. [Google Scholar] [CrossRef]
- Miao, G.; Guan, K.; Yang, X.; Bernacchi, C.J.; Berry, J.A.; DeLucia, E.H.; Wu, J.; Moore, C.E.; Meacham, K.; Cai, Y.; et al. Sun-Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements. J. Geophys. Res. Biogeosciences 2018, 123, 610–623. [Google Scholar] [CrossRef]
- Zeng, Y.; Badgley, G.; Dechant, B.; Ryu, Y.; Chen, M.; Berry, J. A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence. Remote Sens. Environ. 2019, 232, 111209. [Google Scholar] [CrossRef]
- Liu, X.; Liu, L.; Hu, J.; Guo, J.; Du, S. Improving the potential of red SIF for estimating GPP by downscaling from the canopy level to the photosystem level. Agric. For. Meteorol. 2019, 281, 107846. [Google Scholar] [CrossRef]
- Wieneke, S.; Burkart, A.; Cendrero-Mateo, M.P.; Julitta, T.; Rossini, M.; Schickling, A.; Schmidt, M.; Rascher, U. Linking photosynthesis and sun-induced fluorescence at sub-daily to seasonal scales. Remote Sens. Environ. 2018, 219, 247–258. [Google Scholar] [CrossRef]
- Varone, L.; Ribas-Carbo, M.; Cardona, C.; Gallé, A.; Medrano, H.; Gratani, L.; Flexas, J. Stomatal and non-stomatal limitations to photosynthesis in seedlings and saplings of Mediterranean species pre-conditioned and aged in nurseries: Different response to water stress. Environ. Exp. Bot. 2012, 75, 235–247. [Google Scholar] [CrossRef]
- Flexas, J.; Medrano, H. Drought-inhibition of photosynthesis in C3 plants: Stomatal and non-stomatal limitations revisited. Ann. Bot. 2002, 89, 183–189. [Google Scholar] [CrossRef]
- Lichtenthaler, H.K.; Rinderle, U. The Role of Chlorophyll Fluorescence in The Detection of Stress Conditions in Plants. C R C Crit. Rev. Anal. Chem. 1988, 19, S29–S85. [Google Scholar] [CrossRef]
- Olioso, A.; Carlson, T.N.; Brisson, N. Simulation of diurnal transpiration and photosynthesis of a water stressed soybean crop. Agric. For. Meteorol. 1996, 81, 41–59. [Google Scholar] [CrossRef]
- Xiao, J.; Fisher, J.B.; Hashimoto, H.; Ichii, K.; Parazoo, N.C. Emerging satellite observations for diurnal cycling of ecosystem processes. Nat. Plants 2021, 7, 877–887. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.; Fang, J.; Smith, W.K.; Wang, X.; Gentine, P.; Scott, R.L.; Migliavacca, M.; Jeong, S.; Litvak, M.; Zhou, S. Satellite solar-induced chlorophyll fluorescence tracks physiological drought stress development during 2020 southwest US drought. Glob. Chang. Biol. 2023, 29, 3395–3408. [Google Scholar] [CrossRef]
- Rossini, M.; Nedbal, L.; Guanter, L.; Ač, A.; Alonso, L.; Burkart, A.; Cogliati, S.; Colombo, R.; Damm, A.; Drusch, M.; et al. Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis. Geophys. Res. Lett. 2015, 42, 1632–1639. [Google Scholar] [CrossRef]
- Ač, A.; Malenovský, Z.; Olejníčková, J.; Gallé, A.; Rascher, U.; Mohammed, G. Meta-analysis assessing potential of steady-state chlorophyll fluorescence for remote sensing detection of plant water, temperature and nitrogen stress. Remote Sens. Environ. 2015, 168, 420–436. [Google Scholar] [CrossRef]
- Liu, L.; Gudmundsson, L.; Hauser, M.; Qin, D.; Li, S.; Seneviratne, S.I. Soil moisture dominates dryness stress on ecosystem production globally. Nat. Commun. 2020, 11, 4892. [Google Scholar] [CrossRef]
- Tong, X.; Mu, Y.; Zhang, J.; Meng, P.; Li, J. Water stress controls on carbon flux and water use efficiency in a warm-temperate mixed plantation. J. Hydrol. 2019, 571, 669–678. [Google Scholar] [CrossRef]
- Liu, L.; Gao, X.; Ren, C.; Cheng, X.; Zhou, Y.; Huang, H.; Zhang, J.; Ba, Y. Applicability of the crop water stress index based on canopy–air temperature differences for monitoring water status in a cork oak plantation, northern China. Agric. For. Meteorol. 2022, 327, 109226. [Google Scholar] [CrossRef]
- Cheng, X.; Hu, M.; Zhou, Y.; Wang, F.; Liu, L.; Wang, Y.; Huang, H.; Zhang, J. The divergence of micrometeorology sensitivity leads to changes in GPP/SIF between cork oak and poplar. Agric. For. Meteorol. 2022, 326, 109189. [Google Scholar] [CrossRef]
- Granier, A.; Biron, P.; Lemoine, D. Water balance, transpiration and canopy conductance in two beech stands. Agric. For. Meteorol. 2000, 100, 291–308. [Google Scholar] [CrossRef]
- Jackson, R.D.; Idso, S.B.; Reginato, R.J.; Pinter, P.J., Jr. Canopy temperature as a crop water stress indicator. Water Resour. Res. 1981, 17, 1133–1138. [Google Scholar] [CrossRef]
- Yang, X.; Tang, J.; Mustard, J.F.; Lee, J.; Rossini, M.; Joiner, J.; Munger, J.W.; Kornfeld, A.; Richardson, A.D. Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophys. Res. Lett. 2015, 42, 2977–2987. [Google Scholar] [CrossRef]
- Xu, S.; Atherton, J.; Riikonen, A.; Zhang, C.; Oivukkamäki, J.; MacArthur, A.; Honkavaara, E.; Hakala, T.; Koivumäki, N.; Liu, Z.; et al. Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop. Remote Sens. Environ. 2021, 263, 112555. [Google Scholar] [CrossRef]
- Xu, S.; Liu, Z.; Zhao, L.; Zhao, H.; Ren, S. Diurnal Response of Sun-Induced Fluorescence and PRI to Water Stress in Maize Using a Near-Surface Remote Sensing Platform. Remote Sens. 2018, 10, 1510. [Google Scholar] [CrossRef]
- Liu, Z.; He, X.; Yang, P.; Jiang, H.; Xu, S.; Zhao, H.; Ren, S.; Chen, M. Diurnal Pattern of Sun-Induced Chlorophyll Fluorescence as Reliable Indicators of Crop Water Stress. IEEE Geosci. Remote Sens. Lett. 2023, 20, 2503805. [Google Scholar] [CrossRef]
- Gitelson, A.A.; Buschmann, C.; Lichtenthaler, H.K. Leaf chlorophyll fluorescence corrected for re-absorption by means of absorption and reflectance measurements. J. Plant Physiol. 1998, 152, 283–296. [Google Scholar] [CrossRef]
- Frankenberg, C.; Fisher, J.B.; Worden, J.; Badgley, G.; Saatchi, S.S.; Lee, J.-E.; Toon, G.C.; Butz, A.; Jung, M.; Kuze, A.; et al. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett. 2011, 38. [Google Scholar] [CrossRef]
- Xu, S.; Liu, Z.; Han, S.; Chen, Z.; He, X.; Zhao, H.; Ren, S. Exploring the Sensitivity of Solar-Induced Chlorophyll Fluorescence at Different Wavelengths in Response to Drought. Remote Sens. 2023, 15, 1077. [Google Scholar] [CrossRef]
- Jia, M.; Colombo, R.; Rossini, M.; Celesti, M.; Zhu, J.; Cogliati, S.; Cheng, T.; Tian, Y.; Zhu, Y.; Cao, W.; et al. Estimation of leaf nitrogen content and photosynthetic nitrogen use efficiency in wheat using sun-induced chlorophyll fluorescence at the leaf and canopy scales. Eur. J. Agron. 2020, 122, 126192. [Google Scholar] [CrossRef]
Variable | ΦF687 | ΦF760 | AMRΦF687 | AMRΦF687 |
---|---|---|---|---|
REDv | −0.48 *** | / | −0.21 ** | / |
NIRv | / | −0.18 ** | / | −0.06 |
fPAR | −0.12 | −0.21 ** | 0.04 | 0.08 |
fesc_red | −0.45 *** | / | −0.26 *** | / |
fesc_far-red | / | −0.16 * | / | −0.09 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Pan, Q.; Cheng, X.; Hu, M.; Liu, L.; Wang, X.; Zhang, J.; Li, Z.; Yuan, W.; Gao, X. The Afternoon/Morning Ratio of Tower-Based Solar-Induced Chlorophyll Fluorescence Can Be Used to Monitor Drought in a Chinese Cork Oak Plantation. Remote Sens. 2024, 16, 1897. https://doi.org/10.3390/rs16111897
Pan Q, Cheng X, Hu M, Liu L, Wang X, Zhang J, Li Z, Yuan W, Gao X. The Afternoon/Morning Ratio of Tower-Based Solar-Induced Chlorophyll Fluorescence Can Be Used to Monitor Drought in a Chinese Cork Oak Plantation. Remote Sensing. 2024; 16(11):1897. https://doi.org/10.3390/rs16111897
Chicago/Turabian StylePan, Qingmei, Xiangfen Cheng, Meijun Hu, Linqi Liu, Xin Wang, Jinsong Zhang, Zhipeng Li, Wenwen Yuan, and Xiang Gao. 2024. "The Afternoon/Morning Ratio of Tower-Based Solar-Induced Chlorophyll Fluorescence Can Be Used to Monitor Drought in a Chinese Cork Oak Plantation" Remote Sensing 16, no. 11: 1897. https://doi.org/10.3390/rs16111897
APA StylePan, Q., Cheng, X., Hu, M., Liu, L., Wang, X., Zhang, J., Li, Z., Yuan, W., & Gao, X. (2024). The Afternoon/Morning Ratio of Tower-Based Solar-Induced Chlorophyll Fluorescence Can Be Used to Monitor Drought in a Chinese Cork Oak Plantation. Remote Sensing, 16(11), 1897. https://doi.org/10.3390/rs16111897