Relationships between portable chlorophyll meter estimates for the red mangrove tree (Rhizophora mangle L.)
DOI:
https://doi.org/10.1590/s2675-28242020068308Abstract
Several ecosystem processes and services provided by mangrove trees, such as the regulation of biogeochemical cycles, biological control, soil retention and protection against erosion, and especially CO2 assimilation and carbon storage are related to the photosynthetic process (Donato et al. 2011; Schaeffer-Novelli et al., 2016; Santos et al., 2017). Photosynthesis is directly related to chlorophyll present in the leaves, and assessment of chlorophyll concentrations may be used as an indicator of a plants’ physiological condition. Decreases in leaf chlorophyll concentrations occur in plants exposed to environmental stress, including stress caused by heavy metals (Chandra & Kang, 2016), nutrient deficiency (Kalaji et al., 2017), and petroleum pollution (Arellano et al., 2017), among others. Thus, estimates of chlorophyll concentrations may provide information on plant and ecosystem function (Heenkenda et al., 2015; Pastor-Guzman et al., 2015).
References
ARELLANO, P., TANSEY, K., BALZTER, H., TELLKAMP, M. 2017.
Plant family-specific impacts of petroleum pollution on
biodiversity and leaf chlorophyll content in the Amazon
Rainforest of Ecuador. PloS One, 12, e0169867.
BIBER, P. D. 2007. Evaluating a chlorophyll content meter on
three coastal wetland plant species. Journal of Agricultural,
Food and Environmental Sciences, 1, 1-11.
BRITO, G. G., SOFIATTI, V., BRANDÃO, Z. N., SILVA, V. B., SILVA,
F. M. & SILVA, D. A. 2011. Non-destructive analysis of
photosynthetic pigments in cotton plants. Acta Scientiarum.
Agronomy, 33, 671-678.
CHANDRA, R., KANG, H. 2016. Mixed heavy metal stress on
photosynthesis, transpiration rate, and chlorophyll content
in poplar hybrids. Forest Science and Technology, 12, 55-61.
CONNELLY, X. M. 1997. The Use of a chlorophyll meter (SPAD-502)
for field determinations of red mangrove (Rhizophora mangle
L.) leaf chlorophyll amount. NASA Univ. Res. Cent. Tech. Adv. Educ.
Aeronaut. Space Auton. Earth Environ, 1, 187–190.
DONATO, D. C., KAUFFMAN, J. B., MURDIYARSO, D., KURNIANTO,
S., STIDHAM, M. & KANNINEN, M. 2011. Mangroves
among the most carbon-rich forests in the tropics. Nature
geoscience, 4, 293-297.
FLORES-DE-SANTIAGO, F., KOVACS, J. M. & FLORES-VERDUGO, F.
Assessing the utility of a portable pocket instrument
for estimating seasonal mangrove leaf chlorophyll contents.
Bulletin of Marine Science, 89, 621-633.
HAMMER, Ø., HARPER, D. A., & RYAN, P. D. 2001. PAST: Paleontological
statistics software package for education and data analysis.
Palaeontologia electronica, version 3.1. Oslo, Noruega.
HEENKENDA, M. K., JOYCE, K. E., MAIER, S. W. & BRUIN, S. 2015.
Quantifying mangrove chlorophyll from high spatial
resolution imagery. ISPRS Journal of Photogrammetry and
Remote Sensing, 108, 234-244.
JIFON, J. L., SYVERTSEN, J. P. & WHALEY, E. 2005. Growth
environment and leaf anatomy affect nondestructive
estimates of chlorophyll and nitrogen in Citrus sp. leaves.
Journal of the American Society for Horticultural Science, 130,
-158.
KALAJI, H. M., DABROWSKI, P., CETNER, M. D., SAMBORSKA, I. A.,
LUKASIK, I., BRESTIC, M., ZIVCAK, M., TOMASZ, H., MOJSKI,
J., KOCIEL, H., PANCHAL, B. M. 2017. A comparison between
different chlorophyll content meters under nutrient
deficiency conditions. Journal of Plant Nutrition, 40, 1024-
LOPES, D. M. S., TOGNELLA, M. M. P., FALQUETO, A. R., SOARES,
M. L. G. 2019. Salinity variation effects on photosynthetic
responses of the mangrove species Rhizophora mangle
L. growing in natural habitats. Photosynthetica, 57, 1142-
MAGRIS, R. A. & BARRETO, R. 2010. Mapping and assessment
of protection of mangrove habitats in Brazil. Pan-American
Journal of Aquatic Sciences, 5(4), 546-556.
MARKWELL, J., OSTERMAN, J. C. & MITCHELL, J. L. 1995.
Calibration of the Minolta SPAD-502 leaf chlorophyll meter.
Photosynthesis research, 46, 467-472.
MARTINS, P. T. A., COUTO, E.C. G. & DELABIE, J. H. C. 2011.
Fitossociologia e estrutura vegetal do manguezal do rio
Cururupe (Ilhéus, Bahia, Brasil). Revista da Gestão Costeira
Integrada, 11, 163-169.
MEDEIROS, T. C. C., SAMPAIO, E. V. S. B. & NASCIMENTO, D. M.
Leaf area index and vegetation cover of the Paripe
river mangrove, Pernambuco, Brazil, in 1997 and 2017.
Journal of Integrated Coastal Zone Management, 18, 41-48.
ORTO E SILVA, E. D., PASCOALINI, S. S., ZAMPROGNO, G. C. &
TOGNELLA, M. M. P. 2020. Estimativas do teor de clorofila
do mangue da Baía de Vitória (ES) por meio de dados
hiperespectrais. Revista Brasileira de Geografia Física, 13, 131-142.
PARRY, C., BLONQUIST, J. & BUGBEE, B. 2014. In situ measurement of
leaf chlorophyll concentration: analysis of the optical absolute
relationship. Plant, cell & environment, 37, 2508-2520.
PASTOR-GUZMAN, J., ATKINSON, P. M., DASH, J. & RIOJA-NETO,
R. 2015. Spatiotemporal variation in mangrove chlorophyll
concentration using Landsat 8. Remote Sensing, 7, 14530-
R CORE TEAM. 2018. R: A language and environment for statistical
computing. R Foudation for Statistical Computing, Vienna,
Austral. Available on-line at: https:///www.R-project.org.
REBELO-MOCHEL, F. & PONZONI, F. J. 2007. Spectral
characterization of mangrove leaves in the Brazilian
Amazonian Coast: Turiaçu Bay, Maranhão State. Anais da
Academia Brasileira de Ciências, 79, 683-692.
RICHARDSON, A. D., DUIGAN, S. P. & BERLYN, G. P. 2002. An
evaluation of noninvasive methods to estimate foliar
chlorophyll content. New phytologist, 153, 185-194.
SANTOS, H. V. S., HOLLANDA, F. S. R., SANTOS, T. O., ANDRADE,
K. V. S., SANTANA, M. B. S., ESTRADA, G. C. D. & SOARES, M. L.
G. 2017. Allometric models for estimating the aboveground
biomass of the mangrove Rhizophora mangle. Brazilian
Journal of Oceanography, 65, 44-53.
SCHAEFFER-NOVELLI, Y., CINTRÓN-MOLERO, G., ADAIME, R. R., &
DE CAMARGO, T. M. 1990. Variability of mangrove ecosystems
along the Brazilian coast. Estuaries, 13(2), 204-218.
SCHAEFFER-NOVELLI, Y., SORIANO-SIERRA, E. J., DO VALE, C.
C., BERNINI, E., ROVAI, A. R., PINHEIRO, M. A. A., SCHMIDT,
A. J., ALMEIDA, R., COELHO JÚNIOR, C., MENGHINI, R. P.,
MARTINEZ, D. I., ABUCHAHLA, G. M. O., CUNHA-LIGNON, M.,
CHARLIER-SARUBO, S., SHIRAZAWA-FREITAS, J. & CINTRÓNMOLERO, G. 2016. Climate changes in mangrove forests and
salt marshes. Brazilian Journal of Oceanography, 64, 37-52.
SPAROVEK, G., DE JONG VAN LIER, Q. & DOURADO NETO, D.
Computer assisted Koeppen climate classification: a
case study for Brazil. International Journal of Climatology: A
Journal of the Royal Meteorological Society, 27, 257-266.
VIEIRA SILVA, D., DOS ANJOS, L., BRITO-ROCHA, E., DALMOLIN, Â.
C. & MIELKE, M. S. 2016. Calibration of a multi-species model
for chlorophyll estimation in seedlings of Neotropical tree
species using hand-held leaf absorbance meters and spectral
reflectance. iForest-Biogeosciences and Forestry, 9, 829.
ZHANG, C., LIU, Y., KOVACS, J. M., FLORES-VERDUGO, F., FLORES-DESANTIAGO, F. & CHEN, K. 2012. Spectral response to varying
levels of leaf pigments collected from a degraded mangrove
forest. Journal of Applied Remote Sensing, 6, 063501.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Ocean and Coastal Research
This work is licensed under a Creative Commons Attribution 4.0 International License.