Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements

Detalhes bibliográficos
Autor(a) principal: Paloschi, Rennan A.
Data de Publicação: 2021
Outros Autores: Ramos, Desirée Marques [UNESP], Ventura, Dione J., Souza, Rodolfo, Souza, Eduardo, Morellato, Leonor Patrícia Cerdeira [UNESP], Nóbrega, Rodolfo L. B., Coutinho, Ítalo Antônio Cotta, Verhoef, Anne, Körting, Thales Sehn, Borma, Laura De Simone
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/rs13010075
http://hdl.handle.net/11449/208410
Resumo: We investigated the water use of Caatinga vegetation, the largest seasonally dry forest in South America. We identified and analysed the environmental phenological drivers in woody species and their relationship with transpiration. To monitor the phenological evolution, we used remote sensing indices at different spatial and temporal scales: normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and green chromatic coordinate (GCC). To represent the phenology, we used the GCC extracted from in-situ automated digital camera images; indices calculated based on sensors included NDVI, SAVI and GCC from Sentinel-2A and B satellites images, and NDVI products MYD13Q1 and MOD13Q1 from a moderate-resolution imaging spectroradiome-ter (MODIS). Environmental drivers included continuously monitored rainfall, air temperature, soil moisture, net radiation, and vapour pressure deficit. To monitor soil water status and vegetation water use, we installed soil moisture sensors along three soil profiles and sap flow sensors for five plant species. Our study demonstrated that the near-surface GCC data played an important role in permitting individual monitoring of species, whereas the species’ sap flow data correlated better with NDVI, SAVI, and GCC than with species’ near-surface GCC. The wood density appeared to affect the transpiration cessation times in the dry season, given that species with the lowest wood density reach negligible values of transpiration earlier in the season than those with high woody density. Our results show that soil water availability was the main limiting factor for transpiration during more than 80% of the year, and that both the phenological response and water use are directly related to water availability when relative saturation of the soil profile fell below 0.25.
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spelling Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurementsMODISPhenocamsPlant water availabilitySentinel-2Tree phenologyWe investigated the water use of Caatinga vegetation, the largest seasonally dry forest in South America. We identified and analysed the environmental phenological drivers in woody species and their relationship with transpiration. To monitor the phenological evolution, we used remote sensing indices at different spatial and temporal scales: normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and green chromatic coordinate (GCC). To represent the phenology, we used the GCC extracted from in-situ automated digital camera images; indices calculated based on sensors included NDVI, SAVI and GCC from Sentinel-2A and B satellites images, and NDVI products MYD13Q1 and MOD13Q1 from a moderate-resolution imaging spectroradiome-ter (MODIS). Environmental drivers included continuously monitored rainfall, air temperature, soil moisture, net radiation, and vapour pressure deficit. To monitor soil water status and vegetation water use, we installed soil moisture sensors along three soil profiles and sap flow sensors for five plant species. Our study demonstrated that the near-surface GCC data played an important role in permitting individual monitoring of species, whereas the species’ sap flow data correlated better with NDVI, SAVI, and GCC than with species’ near-surface GCC. The wood density appeared to affect the transpiration cessation times in the dry season, given that species with the lowest wood density reach negligible values of transpiration earlier in the season than those with high woody density. Our results show that soil water availability was the main limiting factor for transpiration during more than 80% of the year, and that both the phenological response and water use are directly related to water availability when relative saturation of the soil profile fell below 0.25.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)National Institute for Space Research—INPEDepartment of Biodiversity São Paulo State University—UNESPDepartment of Biological and Agricultural Engineering Texas A&M UniversityAcademic Unit of Serra Talhada Federal Rural University of PernambucoDepartment of Life Sciences Imperial College London, Buckhurst RoadDepartment of Biology Federal University of CearaDepartment of Geography and Environmental Science The University of ReadingDepartment of Biodiversity São Paulo State University—UNESPCAPES: 001FAPESP: 2015/50488-5FAPESP: 2017/17380-1National Institute for Space Research—INPEUniversidade Estadual Paulista (Unesp)Texas A&M UniversityFederal Rural University of PernambucoImperial College LondonFederal University of CearaThe University of ReadingPaloschi, Rennan A.Ramos, Desirée Marques [UNESP]Ventura, Dione J.Souza, RodolfoSouza, EduardoMorellato, Leonor Patrícia Cerdeira [UNESP]Nóbrega, Rodolfo L. B.Coutinho, Ítalo Antônio CottaVerhoef, AnneKörting, Thales SehnBorma, Laura De Simone2021-06-25T11:11:43Z2021-06-25T11:11:43Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-18http://dx.doi.org/10.3390/rs13010075Remote Sensing, v. 13, n. 1, p. 1-18, 2021.2072-4292http://hdl.handle.net/11449/20841010.3390/rs130100752-s2.0-85100938343Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensinginfo:eu-repo/semantics/openAccess2021-10-23T19:02:10Zoai:repositorio.unesp.br:11449/208410Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:52:54.771536Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
title Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
spellingShingle Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
Paloschi, Rennan A.
MODIS
Phenocams
Plant water availability
Sentinel-2
Tree phenology
title_short Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
title_full Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
title_fullStr Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
title_full_unstemmed Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
title_sort Environmental drivers of water use for caatinga woody plant species: Combining remote sensing phenology and sap flow measurements
author Paloschi, Rennan A.
author_facet Paloschi, Rennan A.
Ramos, Desirée Marques [UNESP]
Ventura, Dione J.
Souza, Rodolfo
Souza, Eduardo
Morellato, Leonor Patrícia Cerdeira [UNESP]
Nóbrega, Rodolfo L. B.
Coutinho, Ítalo Antônio Cotta
Verhoef, Anne
Körting, Thales Sehn
Borma, Laura De Simone
author_role author
author2 Ramos, Desirée Marques [UNESP]
Ventura, Dione J.
Souza, Rodolfo
Souza, Eduardo
Morellato, Leonor Patrícia Cerdeira [UNESP]
Nóbrega, Rodolfo L. B.
Coutinho, Ítalo Antônio Cotta
Verhoef, Anne
Körting, Thales Sehn
Borma, Laura De Simone
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv National Institute for Space Research—INPE
Universidade Estadual Paulista (Unesp)
Texas A&M University
Federal Rural University of Pernambuco
Imperial College London
Federal University of Ceara
The University of Reading
dc.contributor.author.fl_str_mv Paloschi, Rennan A.
Ramos, Desirée Marques [UNESP]
Ventura, Dione J.
Souza, Rodolfo
Souza, Eduardo
Morellato, Leonor Patrícia Cerdeira [UNESP]
Nóbrega, Rodolfo L. B.
Coutinho, Ítalo Antônio Cotta
Verhoef, Anne
Körting, Thales Sehn
Borma, Laura De Simone
dc.subject.por.fl_str_mv MODIS
Phenocams
Plant water availability
Sentinel-2
Tree phenology
topic MODIS
Phenocams
Plant water availability
Sentinel-2
Tree phenology
description We investigated the water use of Caatinga vegetation, the largest seasonally dry forest in South America. We identified and analysed the environmental phenological drivers in woody species and their relationship with transpiration. To monitor the phenological evolution, we used remote sensing indices at different spatial and temporal scales: normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and green chromatic coordinate (GCC). To represent the phenology, we used the GCC extracted from in-situ automated digital camera images; indices calculated based on sensors included NDVI, SAVI and GCC from Sentinel-2A and B satellites images, and NDVI products MYD13Q1 and MOD13Q1 from a moderate-resolution imaging spectroradiome-ter (MODIS). Environmental drivers included continuously monitored rainfall, air temperature, soil moisture, net radiation, and vapour pressure deficit. To monitor soil water status and vegetation water use, we installed soil moisture sensors along three soil profiles and sap flow sensors for five plant species. Our study demonstrated that the near-surface GCC data played an important role in permitting individual monitoring of species, whereas the species’ sap flow data correlated better with NDVI, SAVI, and GCC than with species’ near-surface GCC. The wood density appeared to affect the transpiration cessation times in the dry season, given that species with the lowest wood density reach negligible values of transpiration earlier in the season than those with high woody density. Our results show that soil water availability was the main limiting factor for transpiration during more than 80% of the year, and that both the phenological response and water use are directly related to water availability when relative saturation of the soil profile fell below 0.25.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T11:11:43Z
2021-06-25T11:11:43Z
2021-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/rs13010075
Remote Sensing, v. 13, n. 1, p. 1-18, 2021.
2072-4292
http://hdl.handle.net/11449/208410
10.3390/rs13010075
2-s2.0-85100938343
url http://dx.doi.org/10.3390/rs13010075
http://hdl.handle.net/11449/208410
identifier_str_mv Remote Sensing, v. 13, n. 1, p. 1-18, 2021.
2072-4292
10.3390/rs13010075
2-s2.0-85100938343
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-18
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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