Measuring the vertical profile of leaf wetness in a forest canopy
Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually an...
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Published in | MethodsX Vol. 8; p. 101332 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.01.2021
Elsevier |
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Online Access | Get full text |
ISSN | 2215-0161 2215-0161 |
DOI | 10.1016/j.mex.2021.101332 |
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Abstract | Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually analysing leaf wetness data from plot-level experiments can be time-consuming, and requires a degree of subjective judgement in delineating wetness events which can lead to inconsistencies in the analysis. Here we:•Describe how to set up an array of leaf wetness sensors (Phytos 31, Meter) enabling the measurement of leaf wetness duration through the profile of a forest canopy,•Present a method and R script to objectively identify and distinguish periods of rain and dew from the output of leaf wetness sensors,•Provide a criteria for separating the leaf wetness sensor output into dew and rain events which may form a reference standard, or be modified for use, in future studies.
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AbstractList | Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually analysing leaf wetness data from plot-level experiments can be time-consuming, and requires a degree of subjective judgement in delineating wetness events which can lead to inconsistencies in the analysis. Here we:•Describe how to set up an array of leaf wetness sensors (Phytos 31, Meter) enabling the measurement of leaf wetness duration through the profile of a forest canopy,•Present a method and R script to objectively identify and distinguish periods of rain and dew from the output of leaf wetness sensors,•Provide a criteria for separating the leaf wetness sensor output into dew and rain events which may form a reference standard, or be modified for use, in future studies. Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually analysing leaf wetness data from plot-level experiments can be time-consuming, and requires a degree of subjective judgement in delineating wetness events which can lead to inconsistencies in the analysis. Here we:•Describe how to set up an array of leaf wetness sensors (Phytos 31, Meter) enabling the measurement of leaf wetness duration through the profile of a forest canopy,•Present a method and R script to objectively identify and distinguish periods of rain and dew from the output of leaf wetness sensors,•Provide a criteria for separating the leaf wetness sensor output into dew and rain events which may form a reference standard, or be modified for use, in future studies. [Display omitted] Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually analysing leaf wetness data from plot-level experiments can be time-consuming, and requires a degree of subjective judgement in delineating wetness events which can lead to inconsistencies in the analysis. Here we: • Describe how to set up an array of leaf wetness sensors (Phytos 31, Meter) enabling the measurement of leaf wetness duration through the profile of a forest canopy, • Present a method and R script to objectively identify and distinguish periods of rain and dew from the output of leaf wetness sensors, • Provide a criteria for separating the leaf wetness sensor output into dew and rain events which may form a reference standard, or be modified for use, in future studies. Image, graphical abstract Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually analysing leaf wetness data from plot-level experiments can be time-consuming, and requires a degree of subjective judgement in delineating wetness events which can lead to inconsistencies in the analysis. Here we:•Describe how to set up an array of leaf wetness sensors (Phytos 31, Meter) enabling the measurement of leaf wetness duration through the profile of a forest canopy,•Present a method and R script to objectively identify and distinguish periods of rain and dew from the output of leaf wetness sensors,•Provide a criteria for separating the leaf wetness sensor output into dew and rain events which may form a reference standard, or be modified for use, in future studies.Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of leaf wetness and spatially map this to canopy structure. However, manually analysing leaf wetness data from plot-level experiments can be time-consuming, and requires a degree of subjective judgement in delineating wetness events which can lead to inconsistencies in the analysis. Here we:•Describe how to set up an array of leaf wetness sensors (Phytos 31, Meter) enabling the measurement of leaf wetness duration through the profile of a forest canopy,•Present a method and R script to objectively identify and distinguish periods of rain and dew from the output of leaf wetness sensors,•Provide a criteria for separating the leaf wetness sensor output into dew and rain events which may form a reference standard, or be modified for use, in future studies. |
ArticleNumber | 101332 |
Author | Hannah, Carle Oliver, Binks Patrick, Meir Antonio Lola, da Costa Ingrid, Coughlin |
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Keywords | Forest canopy Leaf wetness Forest water balance Measuring canopy wetness Micrometeorology |
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References | Aparecido, Miller, Cahill, Moore (bib0001) 2016; 30 Binks (bib0002) 2020 (bib0004) 2010 Ghobakhlou, Amir, Sallis (bib0003) 2015 Binks (10.1016/j.mex.2021.101332_bib0002) 2020 (10.1016/j.mex.2021.101332_bib0004) 2010 Aparecido (10.1016/j.mex.2021.101332_bib0001) 2016; 30 Ghobakhlou (10.1016/j.mex.2021.101332_bib0003) 2015 |
References_xml | – year: 2020 ident: bib0002 article-title: Canopy wetness in the Eastern Amazon publication-title: Agric. For. Meteorol. – year: 2010 ident: bib0004 article-title: R: A language and Environment for Statistical Computing – volume: 30 start-page: 5000 year: 2016 end-page: 5011 ident: bib0001 article-title: Comparison of tree transpiration under wet and dry canopy conditions in a Costa Rican premontane tropical forest publication-title: Hydrol. Process. – start-page: 420 year: 2015 end-page: 424 ident: bib0003 article-title: Leaf wetness sensors - a comparative analysis publication-title: Proceedings of the 9th International Conference on Sensing Technology (ICST) – year: 2020 ident: 10.1016/j.mex.2021.101332_bib0002 article-title: Canopy wetness in the Eastern Amazon publication-title: Agric. For. Meteorol. – start-page: 420 year: 2015 ident: 10.1016/j.mex.2021.101332_bib0003 article-title: Leaf wetness sensors - a comparative analysis – year: 2010 ident: 10.1016/j.mex.2021.101332_bib0004 – volume: 30 start-page: 5000 issue: 26 year: 2016 ident: 10.1016/j.mex.2021.101332_bib0001 article-title: Comparison of tree transpiration under wet and dry canopy conditions in a Costa Rican premontane tropical forest publication-title: Hydrol. Process. doi: 10.1002/hyp.10960 |
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SubjectTerms | carbon dew ecosystems energy Forest canopy Forest water balance Leaf wetness Method Micrometeorology rain reference standards |
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Title | Measuring the vertical profile of leaf wetness in a forest canopy |
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