@Article{PaloschiRSSSMNCVKB:2021:CoReSe,
author = "Paloschi, Rennan Andres and Ramos, Desiree Marques and Silva,
Dione Judite Ventura da and Souza, Rodolfo and Souza, Eduardo and
Morellato, Leonor Patricia Cerdeira and Nobrega, Rodolfo L. B. and
Coutinho, Italo Antonio Cotta and Verhoef, Anne and K{\"o}rting,
Thales Sehn and Borma, Laura de Simone",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Texas A\&M University} and
{Universidade Federal Rural de Pernambuco (UFRPE)} and
{Universidade Estadual Paulista (UNESP)} and {Imperial College
London} and {Universidade Federal do Cear{\'a} (UFC)} and {The
University of Reading} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Environmental drivers of water use for caatinga woody plant
species: combining remote sensing phenology and sap flow
measurements",
journal = "Remote Sensing",
year = "2021",
volume = "13",
number = "1",
month = "Jan.",
keywords = "plant water availability, tree phenology, phenocams, Sentinel-2,
MODIS.",
abstract = "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 spectroradiometer
(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.",
doi = "10.3390/rs13010075",
url = "http://dx.doi.org/10.3390/rs13010075",
issn = "2072-4292",
label = "20210208",
language = "en",
targetfile = "remotesensing-13-00075-v2.pdf",
urlaccessdate = "20 maio 2024"
}