Key stress indicators from chlorophyll fluorescence in five desert plant species

Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Chuan Jin [verfasserIn] Tianshan Zha [verfasserIn] Charles P.-A. Bourque [verfasserIn] Peng Liu [verfasserIn] Xin Jia [verfasserIn] Yun Tian [verfasserIn] Xinhao Li [verfasserIn] Xinyue Liu [verfasserIn] Xiaonan Guo [verfasserIn] Mingze Xu [verfasserIn] Xiaoyu Kang [verfasserIn] Zifan Guo [verfasserIn] Ning Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry

Übergeordnetes Werk:	In: Ecological Indicators - Elsevier, 2021, 145(2022), Seite 109679-
Übergeordnetes Werk:	volume:145 ; year:2022 ; pages:109679-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.ecolind.2022.109679

Katalog-ID:	DOAJ011075678

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allfields	10.1016/j.ecolind.2022.109679 doi (DE-627)DOAJ011075678 (DE-599)DOAJ97fa5588dbc141088677f9a6bcb8c464 DE-627 ger DE-627 rakwb eng QH540-549.5 Chuan Jin verfasserin aut Key stress indicators from chlorophyll fluorescence in five desert plant species 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability. Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry Ecology Tianshan Zha verfasserin aut Charles P.-A. Bourque verfasserin aut Peng Liu verfasserin aut Xin Jia verfasserin aut Yun Tian verfasserin aut Xinhao Li verfasserin aut Xinyue Liu verfasserin aut Xiaonan Guo verfasserin aut Mingze Xu verfasserin aut Xiaoyu Kang verfasserin aut Zifan Guo verfasserin aut Ning Wang verfasserin aut In Ecological Indicators Elsevier, 2021 145(2022), Seite 109679- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:145 year:2022 pages:109679- https://doi.org/10.1016/j.ecolind.2022.109679 kostenfrei https://doaj.org/article/97fa5588dbc141088677f9a6bcb8c464 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X22011529 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 145 2022 109679-
spelling	10.1016/j.ecolind.2022.109679 doi (DE-627)DOAJ011075678 (DE-599)DOAJ97fa5588dbc141088677f9a6bcb8c464 DE-627 ger DE-627 rakwb eng QH540-549.5 Chuan Jin verfasserin aut Key stress indicators from chlorophyll fluorescence in five desert plant species 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability. Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry Ecology Tianshan Zha verfasserin aut Charles P.-A. Bourque verfasserin aut Peng Liu verfasserin aut Xin Jia verfasserin aut Yun Tian verfasserin aut Xinhao Li verfasserin aut Xinyue Liu verfasserin aut Xiaonan Guo verfasserin aut Mingze Xu verfasserin aut Xiaoyu Kang verfasserin aut Zifan Guo verfasserin aut Ning Wang verfasserin aut In Ecological Indicators Elsevier, 2021 145(2022), Seite 109679- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:145 year:2022 pages:109679- https://doi.org/10.1016/j.ecolind.2022.109679 kostenfrei https://doaj.org/article/97fa5588dbc141088677f9a6bcb8c464 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X22011529 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 145 2022 109679-
allfields_unstemmed	10.1016/j.ecolind.2022.109679 doi (DE-627)DOAJ011075678 (DE-599)DOAJ97fa5588dbc141088677f9a6bcb8c464 DE-627 ger DE-627 rakwb eng QH540-549.5 Chuan Jin verfasserin aut Key stress indicators from chlorophyll fluorescence in five desert plant species 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability. Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry Ecology Tianshan Zha verfasserin aut Charles P.-A. Bourque verfasserin aut Peng Liu verfasserin aut Xin Jia verfasserin aut Yun Tian verfasserin aut Xinhao Li verfasserin aut Xinyue Liu verfasserin aut Xiaonan Guo verfasserin aut Mingze Xu verfasserin aut Xiaoyu Kang verfasserin aut Zifan Guo verfasserin aut Ning Wang verfasserin aut In Ecological Indicators Elsevier, 2021 145(2022), Seite 109679- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:145 year:2022 pages:109679- https://doi.org/10.1016/j.ecolind.2022.109679 kostenfrei https://doaj.org/article/97fa5588dbc141088677f9a6bcb8c464 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X22011529 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 145 2022 109679-
allfieldsGer	10.1016/j.ecolind.2022.109679 doi (DE-627)DOAJ011075678 (DE-599)DOAJ97fa5588dbc141088677f9a6bcb8c464 DE-627 ger DE-627 rakwb eng QH540-549.5 Chuan Jin verfasserin aut Key stress indicators from chlorophyll fluorescence in five desert plant species 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability. Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry Ecology Tianshan Zha verfasserin aut Charles P.-A. Bourque verfasserin aut Peng Liu verfasserin aut Xin Jia verfasserin aut Yun Tian verfasserin aut Xinhao Li verfasserin aut Xinyue Liu verfasserin aut Xiaonan Guo verfasserin aut Mingze Xu verfasserin aut Xiaoyu Kang verfasserin aut Zifan Guo verfasserin aut Ning Wang verfasserin aut In Ecological Indicators Elsevier, 2021 145(2022), Seite 109679- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:145 year:2022 pages:109679- https://doi.org/10.1016/j.ecolind.2022.109679 kostenfrei https://doaj.org/article/97fa5588dbc141088677f9a6bcb8c464 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X22011529 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 145 2022 109679-
allfieldsSound	10.1016/j.ecolind.2022.109679 doi (DE-627)DOAJ011075678 (DE-599)DOAJ97fa5588dbc141088677f9a6bcb8c464 DE-627 ger DE-627 rakwb eng QH540-549.5 Chuan Jin verfasserin aut Key stress indicators from chlorophyll fluorescence in five desert plant species 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability. Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry Ecology Tianshan Zha verfasserin aut Charles P.-A. Bourque verfasserin aut Peng Liu verfasserin aut Xin Jia verfasserin aut Yun Tian verfasserin aut Xinhao Li verfasserin aut Xinyue Liu verfasserin aut Xiaonan Guo verfasserin aut Mingze Xu verfasserin aut Xiaoyu Kang verfasserin aut Zifan Guo verfasserin aut Ning Wang verfasserin aut In Ecological Indicators Elsevier, 2021 145(2022), Seite 109679- (DE-627)338074163 (DE-600)2063587-4 18727034 nnns volume:145 year:2022 pages:109679- https://doi.org/10.1016/j.ecolind.2022.109679 kostenfrei https://doaj.org/article/97fa5588dbc141088677f9a6bcb8c464 kostenfrei http://www.sciencedirect.com/science/article/pii/S1470160X22011529 kostenfrei https://doaj.org/toc/1470-160X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 145 2022 109679-
language	English
source	In Ecological Indicators 145(2022), Seite 109679- volume:145 year:2022 pages:109679-
sourceStr	In Ecological Indicators 145(2022), Seite 109679- volume:145 year:2022 pages:109679-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry Ecology
isfreeaccess_bool	true
container_title	Ecological Indicators
authorswithroles_txt_mv	Chuan Jin @@aut@@ Tianshan Zha @@aut@@ Charles P.-A. Bourque @@aut@@ Peng Liu @@aut@@ Xin Jia @@aut@@ Yun Tian @@aut@@ Xinhao Li @@aut@@ Xinyue Liu @@aut@@ Xiaonan Guo @@aut@@ Mingze Xu @@aut@@ Xiaoyu Kang @@aut@@ Zifan Guo @@aut@@ Ning Wang @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	338074163
id	DOAJ011075678
language_de	englisch
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Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. 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callnumber-first	Q - Science
author	Chuan Jin
spellingShingle	Chuan Jin misc QH540-549.5 misc Chlorophyll fluorescence misc Desert species misc Dryland misc Environmental stress misc Random forest misc Photosystem II photochemistry misc Ecology Key stress indicators from chlorophyll fluorescence in five desert plant species
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topic_title	QH540-549.5 Key stress indicators from chlorophyll fluorescence in five desert plant species Chlorophyll fluorescence Desert species Dryland Environmental stress Random forest Photosystem II photochemistry
topic	misc QH540-549.5 misc Chlorophyll fluorescence misc Desert species misc Dryland misc Environmental stress misc Random forest misc Photosystem II photochemistry misc Ecology
topic_unstemmed	misc QH540-549.5 misc Chlorophyll fluorescence misc Desert species misc Dryland misc Environmental stress misc Random forest misc Photosystem II photochemistry misc Ecology
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title	Key stress indicators from chlorophyll fluorescence in five desert plant species
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title_full	Key stress indicators from chlorophyll fluorescence in five desert plant species
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author_browse	Chuan Jin Tianshan Zha Charles P.-A. Bourque Peng Liu Xin Jia Yun Tian Xinhao Li Xinyue Liu Xiaonan Guo Mingze Xu Xiaoyu Kang Zifan Guo Ning Wang
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title_sort	key stress indicators from chlorophyll fluorescence in five desert plant species
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title_auth	Key stress indicators from chlorophyll fluorescence in five desert plant species
abstract	Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability.
abstractGer	Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability.
abstract_unstemmed	Pulse-amplitude modulated chlorophyll fluorescence (ChlF) is widely used to measure environmental stress in plants. Yet, its continuous, long-term usage in situ is challenged due to the lack of appropriate daytime indicators. We investigated the prospect of creating new daytime indicators based on an application of linear regression on daily measurements of photochemical efficiency (ФPSII) and photosynthetically active radiation acquired in situ at 30-minute intervals. Daily regression parameters, thus generated, were subsequently used in a broader context of desert-plant response to environmental change. Here, we compared parametric and non-parametric methods to test the feasibility of daytime-based regression parameters, i.e., maximal quantum yield of photosystem II photochemistry (Fv/Fm) and daily mean ФPSII, in gauging physiological response in three shrub and two herb species as influenced by eight environmental variables. Results demonstrated that: (i) Random Forest (RF; a non-parametric method) provided the best assessment of interaction between ChlF-based parameters and environmental variables, compared with multiple linear regression (MLR; a conventional parametric method); (ii) variable importance and partial dependence plots indicated that the daily regression parameters of the ФPSII-to- photosynthetic photon flux density relationship (y-intercept and slope) were superior to those of ФPSII and Fv/Fm; and (iii) compared with Fv/Fm, the y-intercept and slope improved discrimination of interspecific differences (p < 0.05). Our research showed that the regression y-intercept and slope can serve as practical daytime indicators of desert-plant photosynthetic physiology in field applications of continuous ChlF measurements. RF is extremely skilled at capturing nonlinearities in eco-environmental interactions compared with standard parametric methods. This new method provides a basis for the collection of key ecological information in assessing desert-plant physiological response to environmental variability.
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title_short	Key stress indicators from chlorophyll fluorescence in five desert plant species
url	https://doi.org/10.1016/j.ecolind.2022.109679 https://doaj.org/article/97fa5588dbc141088677f9a6bcb8c464 http://www.sciencedirect.com/science/article/pii/S1470160X22011529 https://doaj.org/toc/1470-160X
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Key stress indicators from chlorophyll fluorescence in five desert plant species

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