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...

Full description

Saved in:
Bibliographic Details
Published inMethodsX Vol. 8; p. 101332
Main Authors Oliver, Binks, Hannah, Carle, Ingrid, Coughlin, Antonio Lola, da Costa, Patrick, Meir
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2021
Elsevier
Subjects
Online AccessGet full text
ISSN2215-0161
2215-0161
DOI10.1016/j.mex.2021.101332

Cover

Loading…
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. [Display omitted]
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
Author_xml – sequence: 1
  givenname: Binks
  orcidid: 0000-0002-6291-3644
  surname: Oliver
  fullname: Oliver, Binks
  email: oliver.binks@anu.edu.au
  organization: Research School of Biology, The Australian National University, Canberra 2601 ACT, Australia
– sequence: 2
  givenname: Carle
  orcidid: 0000-0003-2893-6081
  surname: Hannah
  fullname: Hannah, Carle
  organization: Research School of Biology, The Australian National University, Canberra 2601 ACT, Australia
– sequence: 3
  givenname: Coughlin
  surname: Ingrid
  fullname: Ingrid, Coughlin
  organization: Research School of Biology, The Australian National University, Canberra 2601 ACT, Australia
– sequence: 4
  givenname: da Costa
  surname: Antonio Lola
  fullname: Antonio Lola, da Costa
  organization: Centro de Geosciências, Universidade Federal do Pará, Belém 66075-110, Brazil
– sequence: 5
  givenname: Meir
  surname: Patrick
  fullname: Patrick, Meir
  organization: Research School of Biology, The Australian National University, Canberra 2601 ACT, Australia
BookMark eNqNkctuFDEQRS0URELIB7Dzks0MftstJKQo4hEpiA2sLbe7PPGoxx7sngn5e9x0kAiLiJXtqnuPynVfopOUEyD0mpI1JVS93a538HPNCKPzm3P2DJ0xRuWqNenJX_dTdFHrlpAmEpwK9gKdciG4MIKdocsv4OqhxLTB0y3gI5QpejfifckhjoBzwCO4gO9gSlArjgk7HHKBOmHvUt7fv0LPgxsrXDyc5-j7xw_frj6vbr5-ur66vFl5yfS06sAPMBimqdQ98VIqJQMHJwzl0ujAnOulMm0yKrTSveSChcFo6EF1nkh-jq4X7pDd1u5L3Llyb7OL9nchl4118_AjWOekGbhSQkkhgJM-eEppJ5TpmVGMN9b7hbU_9DsYPKSpuPER9HEnxVu7yUdruBac6wZ48wAo-cehLcPuYvUwji5BPlTLZNNRTZj4D6kSnZCmm6l6kfqSay0QrI-Tm2Keh4ijpcTO0dutbdHbOXq7RN-c9B_nn7885Xm3eKCldoxQbPURkochFvBTW2t8wv0LiODEqw
CitedBy_id crossref_primary_10_1093_treephys_tpae050
Cites_doi 10.1002/hyp.10960
ContentType Journal Article
Copyright 2021
2021 The Authors. Published by Elsevier B.V.
2021 The Authors. Published by Elsevier B.V. 2021
Copyright_xml – notice: 2021
– notice: 2021 The Authors. Published by Elsevier B.V.
– notice: 2021 The Authors. Published by Elsevier B.V. 2021
DBID 6I.
AAFTH
AAYXX
CITATION
7X8
7S9
L.6
5PM
DOA
DOI 10.1016/j.mex.2021.101332
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
CrossRef
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList AGRICOLA



MEDLINE - Academic
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2215-0161
ExternalDocumentID oai_doaj_org_article_aa58d36646544e30bfc1119468b28623
PMC8374337
10_1016_j_mex_2021_101332
S2215016121001254
GroupedDBID 0SF
4.4
457
53G
5VS
6I.
AACTN
AAEDT
AAEDW
AAFTH
AAIKJ
AALRI
AAXUO
ABMAC
ACGFS
ADBBV
ADEZE
ADRAZ
AEXQZ
AFTJW
AGHFR
AITUG
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
AOIJS
BCNDV
EBS
EJD
FDB
GROUPED_DOAJ
HYE
IPNFZ
IXB
KQ8
M48
M~E
NCXOZ
OK1
RIG
ROL
RPM
SSZ
0R~
AAFWJ
AAHBH
AAYWO
AAYXX
ACVFH
ADCNI
ADVLN
AEUPX
AFJKZ
AFPKN
AFPUW
AIGII
AKBMS
AKRWK
AKYEP
APXCP
CITATION
7X8
7S9
L.6
5PM
ID FETCH-LOGICAL-c527t-9ecded827157b0c55665f3ea4813587f2aab56834414767b5342fd87ebe69c053
IEDL.DBID M48
ISSN 2215-0161
IngestDate Wed Aug 27 01:35:07 EDT 2025
Thu Aug 21 14:10:43 EDT 2025
Fri Jul 11 04:28:57 EDT 2025
Thu Jul 10 17:44:40 EDT 2025
Tue Jul 01 00:58:56 EDT 2025
Thu Apr 24 23:00:04 EDT 2025
Tue Jul 25 21:00:52 EDT 2023
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Forest canopy
Leaf wetness
Forest water balance
Measuring canopy wetness
Micrometeorology
Language English
License This is an open access article under the CC BY-NC-ND license.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c527t-9ecded827157b0c55665f3ea4813587f2aab56834414767b5342fd87ebe69c053
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-6291-3644
0000-0003-2893-6081
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.1016/j.mex.2021.101332
PMID 34434842
PQID 2564945897
PQPubID 23479
ParticipantIDs doaj_primary_oai_doaj_org_article_aa58d36646544e30bfc1119468b28623
pubmedcentral_primary_oai_pubmedcentral_nih_gov_8374337
proquest_miscellaneous_2574317024
proquest_miscellaneous_2564945897
crossref_citationtrail_10_1016_j_mex_2021_101332
crossref_primary_10_1016_j_mex_2021_101332
elsevier_sciencedirect_doi_10_1016_j_mex_2021_101332
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2021-01-01
PublicationDateYYYYMMDD 2021-01-01
PublicationDate_xml – month: 01
  year: 2021
  text: 2021-01-01
  day: 01
PublicationDecade 2020
PublicationTitle MethodsX
PublicationYear 2021
Publisher Elsevier B.V
Elsevier
Publisher_xml – name: Elsevier B.V
– name: Elsevier
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
SSID ssj0001343142
Score 2.1633322
Snippet Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem...
SourceID doaj
pubmedcentral
proquest
crossref
elsevier
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 101332
SubjectTerms carbon
dew
ecosystems
energy
Forest canopy
Forest water balance
Leaf wetness
Method
Micrometeorology
rain
reference standards
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1JS-RAFC7Eg3gRdWaw3ShhTgNhktpzVFFE6DlNg7eiVmzRtGg36r_3VSVpOpf24iWQpCqVekveV0u-h9BvWlMmXRAFIVYVzBhVGAUDV2YrX1bBwzH9nDz-J24m7PaO362k-kp7wlp64FZwf43hylMhEu8XC7S00YF71kwoSwCNZ55PiHkrg6k8u0IhMObMOQRiWpFwTb-kmTd3PYV3GBuSKp1TSgZBKXP3D2LTCvYc7pxcCUXXu2inw5D4vH33PbQRmn20Ne5WyX-g83Ge-IOghAHe4ZxxGVSBu_zceBbxYzARv4V5-tDhaYMNBvAKTWOQ9Oz54yeaXF_9v7wpulQJheNEzos6OB-8IrLi0paOA0jjkQbDVEW5kpEYY7lIOTUqJoW0nDISvZKgQlE7cMRfaLOZNeEAYeETD5MXoY428ZjaWFrneZSuLqGkGaGyl5V2HY94SmfxqPsNYw8axKuTeHUr3hH6s6zy3JJorCt8kRSwLJj4r_MFsArdWYX-yipGiPXq0x2UaCECPGq6ru2zXtUa3CytnZgmzBavGpAhqxlXtVxXJsMxQD0jJAd2MujM8E4zvc-k3opCZSoPv6P3R2g7daqdKTpGm_OXRTgB7DS3p9lNPgE5zRKi
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: ScienceDirect
  dbid: IXB
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELaqHhAXxFMsLxmJE1K0id85thVVhbRcoNLeLNuxIagkq7IV8O-ZcZzSXPbAJVKScR4z9szn1zeEvOMtFzpEVTHmTSWcM5Uz0HEVvunqJnZwxM3Jm0_q4lJ83MrtETmb98Lgssri-yefnr11ubIu2lzv-n79mUG0QsDCkEYI-jngh7kweRPf9vTfOAuHEJlz6KB8hQXmyc28zOtH_A29RNbgOedsEZ4yi_8iSt1Bocs1lHeC0vlD8qCgSXoyffAjchSHx-TepsyXPyEnmzwECOGJAtCjOfcyGIWWTN10TPQqukR_xT26PNoP1FGAsfBqCjofd3-eksvzD1_OLqqSNKEKkul91cbQxc4w3Ujt6yABrsnEoxOm4dLoxJzzUmF2jUZopb3kgqXOaDCmagM0yWfkeBiH-JxQ1SEjU6dimzwymvpU-9DJpENbg6RbkXrWlQ2FURwTW1zZeenYdwvqtaheO6l3Rd7fFtlNdBqHhE_RALeCyISdL4zXX22pCtY5aTquFPLCichrnwK471Yo4xn01viKiNl8dlGx4FH9oXe_nU1tocHhLIob4njz0wJGFK2QptWHZDIwA_yzInpRTxY_s7wz9N8yvbfhUJjrF__34S_JfTybRolekeP99U18Dbhp79_khvEXWKATxA
  priority: 102
  providerName: Elsevier
Title Measuring the vertical profile of leaf wetness in a forest canopy
URI https://dx.doi.org/10.1016/j.mex.2021.101332
https://www.proquest.com/docview/2564945897
https://www.proquest.com/docview/2574317024
https://pubmed.ncbi.nlm.nih.gov/PMC8374337
https://doaj.org/article/aa58d36646544e30bfc1119468b28623
Volume 8
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1La9wwEBYhhZBL6ZNuH0GFngoutt4-lJKUhrSwPXVhb0LPdsvWTjcbmvz7jmQ5jSHsoReD7ZGFZjSab0byDEJvaEuZdEFUhFhVMWNUZRQ4rsw2vm6Ch2v6OXn-VZwt2JclX-6hsbxVYeDFna5dqie12KzfXf2-_gAK__7fWa1f4QpcPdKke0phRb4HhkmmSg7zgvZzyIWCtWRk3Nu8q-UhOqCMUaYYmRiqnM9_Yq9u4dHpacpb5un0AbpfcCU-HibCQ7QXukfoYF52zh-j43kOBoKhwgD5cK7CDOLBpWY37iNeBxPxn7BNix9eddhgALTQNQbu9-fXT9Di9NO3j2dVKZ9QOU7ktmqD88ErIhsube04ADceaTBMNZQrGYkxlotUZ6NhUkjLKSPRKwliFa0D5XyK9ru-C88QFj7lZvIitNGm3KY21tZ5HqVra6A0M1SPvNKu5BZPJS7WejxE9lMDp3XitB44PUNvb5qcD4k1dhGfJAHcEKac2PlBv_mui4ppY7jyVIiUIY4FWtvoYCFvmVCWgN9GZ4iN4tMFXgywAT612tX361HUGlQv7aeYLvSXFxrQImsZV63cRZMhGiChGZKTeTIZzPRNt_qRE30rCo2pfP7fLV-gwzSSIWT0Eu1vN5fhFYCorT3KwQe4fl6eHGU1-Qv1yRyS
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELZKkYAL4im2vIzECSnaxO8c24pqC91eaKW9WXbi0KCSrNqtgH_PjOOU5rIHLpHi2HEyY898fn1DyEdecqGroDLGvMmEcyZzBgauwhd1XoQarng4eXmqFufiy0qudsjheBYGt1Um2z_Y9GitU8o8SXO-btv5NwbeCgELQxohGOfcI_cBDShs2serg38TLRx8ZAyigwUyLDGubsZ9Xj_DbxgmsgLvOWcT_xRp_Cdu6g4MnW6ivOOVjp6QxwlO0v3hi5-SndA9Iw-WacH8OdlfxjlA8E8UkB6NwZdBKzSF6qZ9Qy-Da-ivsEGbR9uOOgo4FqqmIPR-_ecFOT_6fHa4yFLUhKySTG-yMlR1qA3ThdQ-rySIRDY8OGEKLo1umHNeKgyvUQittJdcsKY2GrSpygr65Euy2_VdeEWoqpGSqVahbDxSmvom91UtG12VOeR0M5KPsrJVohTHyBaXdtw79sOCeC2K1w7inZFPt0XWA5_GtswHqIDbjEiFHRP6q-82tQXrnDQ1VwqJ4UTguW8qsN-lUMYzGK7xGRGj-uykZcGr2m11fxhVbaHH4TKK60J_c20BJIpSSFPqbXkiMgMANCN60k4mPzN90rUXkd_bcCjM9d7_ffh78nBxtjyxJ8enX1-TR_hkmDJ6Q3Y3VzfhLYCojX8XO8lfTDIW6w
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Measuring+the+vertical+profile+of+leaf+wetness+in+a+forest+canopy&rft.jtitle=MethodsX&rft.au=Oliver%2C+Binks&rft.au=Hannah%2C+Carle&rft.au=Ingrid%2C+Coughlin&rft.au=Antonio+Lola%2C+da+Costa&rft.date=2021-01-01&rft.pub=Elsevier&rft.eissn=2215-0161&rft.volume=8&rft_id=info:doi/10.1016%2Fj.mex.2021.101332&rft_id=info%3Apmid%2F34434842&rft.externalDocID=PMC8374337
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2215-0161&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2215-0161&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2215-0161&client=summon