*

Calibration of a multi-species model for chlorophyll estimation in seedlings of Neotropical tree species using hand-held leaf absorbance meters and spectral reflectance

Daniela Viera Silva (1), Letícia Dos Anjos (2), Ediófila Brito-Rocha (2), Andrea Carla Dalmolin (2), Marcelo S Mielke (2)   

iForest - Biogeosciences and Forestry, Volume 9, Issue 5, Pages 829-834 (2016)
doi: https://doi.org/10.3832/ifor1785-009
Published: May 17, 2016 - Copyright © 2016 SISEF

Research Articles


The aim of the present study was to calibrate a multi-species model for assessing leaf chlorophyll content in seedlings of six Neotropical rainforest tree species. Two hand-held chlorophyll absorbance meters (SPAD-502 and ClorofiLog) and the chlorophyll normalized difference leaf reflectance index (ND705) were tested. Measurements of leaf absorbance and reflectance, contents of chlorophyll a (Chl a), chlorophyll b (Chl b), and total chlorophyll (Chl t), leaf area (LA), and leaf mass per area (LMA) were performed on fully expanded leaves. A total of 200 leaves were used for the calibration of the multiple-species model. The relative root mean square calibration errors (RMSεc, %) were calculated based on estimated chlorophyll values for multiple-species models and on measured values for each of the six species. The average values of LA varied between 14.2 and 29.5 cm-2, LMA between 34.8 and 98.9 g m-2, and Chl t between 3 and 815 mg m-2. For all indices, the highest values of the coefficients of determination (R2) were observed for Chl a (R2 ≥ 0.91), followed by Chl t (R2 ≥ 0.89) and Chl b (R2 ≥ 0.82). The highest values of R2 were obtained for ND705 (R2 ≥ 0.86) followed by SPAD-502 (R2 ≥ 0.83) and ClorofiLog (R2 ≥ 0.82). The present study showed that ClorofiLog and SPAD-502 indices could be safely interconverted by a simple linear regression model (R2 = 0.98). RMSεc values were lower than 20%, which confirmed the feasibility of the multi-species model for estimating the chlorophyll content using hand-held chlorophyll absorbance meters and leaf reflectance.

  Keywords


Chlorophyll Normalized Difference Index, Hand-held Chlorophyll Absorbance Meters, Leaf Reflectance, Neotropical Tree Species

Authors’ address

(1)
Daniela Viera Silva
Departamento de Ciências Agrárias e Ambientais, Universidade Estadual de Santa Cruz, Rodovia Jorge Amado km 16, Ilhéus, Bahia (Brazil)
(2)
Letícia Dos Anjos
Ediófila Brito-Rocha
Andrea Carla Dalmolin
Marcelo S Mielke
Departamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia (Brazil)

Corresponding author

 
Marcelo S Mielke
msmielke@uesc.br

Citation

Viera Silva D, Dos Anjos L, Brito-Rocha E, Dalmolin AC, Mielke MS (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 9: 829-834. - doi: 10.3832/ifor1785-009

Academic Editor

Silvano Fares

Paper history

Received: Jul 30, 2015
Accepted: Jan 17, 2016

First online: May 17, 2016
Publication Date: Oct 13, 2016
Publication Time: 4.03 months

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 8022
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 5575
Abstract Page Views: 233
PDF Downloads: 1495
Citation/Reference Downloads: 65
XML Downloads: 654

Web Metrics
Days since publication: 1281
Overall contacts: 8022
Avg. contacts per week: 43.84

Article Citations

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Aug 2019)

Total number of cites (since 2016): 1
Average cites per year: 0.25

 

Publication Metrics

by Dimensions ©

Articles citing this article

List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Barbosa RH, Tabaldi LA, Miyazaki FR, Pilecco M, Kassab SO, Bigaton D (2013)
Foliar copper uptake by maize plants: effects on growth and yield. Ciência Rural 43: 1561-1568.
CrossRef | Gscholar
(2)
Blackburn GA (2007)
Hyperspectral remote sensing of plant pigments. Journal of Experimental Botany 58: 855-867.
CrossRef | Gscholar
(3)
Campoe OC, Iannelli C, Stape JL, Cook RL, Mendes JCT, Vivian R (2014)
Atlantic forest tree species responses to silvicultural practices in a degraded pasture restoration plantation: From leaf physiology to survival and initial growth. Forest Ecology and Management 313: 233-242.
CrossRef | Gscholar
(4)
Casa R, Castaldi F, Pascucci S, Pignatti S (2015)
Chlorophyll estimation in field crops: an assessment of handheld leaf meters and spectral reflectance measurements. Journal of Agriculture Science 153: 876-890.
CrossRef | Gscholar
(5)
Cate TM, Perkins TD (2003)
Chlorophyll content monitoring in sugar maple (Acer saccharum). Tree Physiology 23: 1077-1079.
CrossRef | Gscholar
(6)
Chazdon RL (2008)
Beyond deforestation: restoring forests and ecosystems services on degraded lands. Science 320: 1459-1460.
CrossRef | Gscholar
(7)
Costa-Azevedo GF (2014)
Photosynthetic parameters and growth in seedlings of Bertholletia excelsa and Carapa guianensis in response to pre-acclimation to full sunlight and mild water stress. Acta Amazonica 44: 67-78.
CrossRef | Gscholar
(8)
Coste S, Baraloto C, Leroy C, Marcon E, Renaud A, Richardson AD, Roggy JC, Schimann H, Uddling J, Hérault B (2010)
Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: a calibration test with thirteen tree species of tropical rainforest in French Guiana. Annals of Forest Science 67: 303-310.
CrossRef | Gscholar
(9)
Gamon JA, Surfus JS (1999)
Assessing leaf pigment content and activity with a reflectometer. New Phytologist 143: 105-117.
CrossRef | Gscholar
(10)
Gitelson AA, Merzlyak MN (1994)
Spectral reflectance changes associate with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. Journal of Plant Physiology 143: 286-292.
CrossRef | Gscholar
(11)
Grace J, Nichol C, Disney M, Lewis P, Quaife T, Bowyer P (2007)
Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence? Global Change Biology 13: 1484-1497.
CrossRef | Gscholar
(12)
Grossnickle SC (2012)
Why seedlings survive: influence of plant attributes. New Forests 43: 711-738.
CrossRef | Gscholar
(13)
Hawkins TS, Gardiner ES, Comer GS (2009)
Modeling the relationship between extractable chlorophyll and SPAD-502 readings for endangered plant species research. Journal for Nature Conservation 17: 123-127.
CrossRef | Gscholar
(14)
Hiscox JD, Israelstam GE (1979)
A method for the extraction of chlorophyll from leaf tissue without maceration. Canadian Journal of Botany 57: 1332-1334.
CrossRef | Gscholar
(15)
Houter NC, Pons TL (2012)
Ontogenetic changes in leaf traits of tropical rainforest trees differing in juvenile light requirement. Oecologia 169: 33-45.
CrossRef | Gscholar
(16)
Ishida A, Yazaki K, Hoe AL (2005)
Ontogenetic transition of leaf physiology and anatomy from seedlings to mature trees of a rain forest pioneer tree, Macaranga gigantea. Tree Physiology 25: 513-522.
CrossRef | Gscholar
(17)
Kitajima K, Hogan KP (2003)
Increases of chlorophyll a/b ratios during acclimation of tropical woody seedlings to nitrogen limitation and high light. Plant, Cell and Environment 26: 857-865.
CrossRef | Gscholar
(18)
Kokaly RF, Asner GP, Ollinger SV, Martin ME, Wessman CA (2009)
Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sensing Environment 113: S78-S91.
CrossRef | Gscholar
(19)
Lichtenthaler HK (1987)
Chlorophylls and carotenoids: pigment photosynthetic biomembranes. Methods in Enzymology 148: 362-385.
CrossRef | Gscholar
(20)
Marenco RA, Antezana-Vera SA, Nascimento HCS (2009)
Relationship between specific leaf area, leaf thickness, leaf water content and SPAD-502 readings in six Amazonian tree species. Photosynthetica 47: 184-190.
CrossRef | Gscholar
(21)
Markwell J, Osterman JC, Mitchell JL (1995)
Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynthesis Research 46: 467-472.
CrossRef | Gscholar
(22)
Martini AMZ, Fiaschi P, Amorim AM, Paixão JLD (2007)
A hot-point within a hotspot: a high diversity site in Brazil’s Atlantic Forest. Biodiversity and Conservation 16: 3111-3128.
CrossRef | Gscholar
(23)
Mielke MS, Schaffer B, Li C (2010)
Use of a SPAD meter to estimate chlorophyll content in Eugenia uniflora L. leaves as affected by contrasting light environments and soil flooding. Photosynthetica 48: 332-338.
CrossRef | Gscholar
(24)
Mielke MS, Schaffer B, Schilling AC (2012)
Evaluation of reflectance spectroscopy indices for estimation of chlorophyll content in leaves of a tropical tree species. Photosynthetica 50: 343-352.
CrossRef | Gscholar
(25)
Nobel P (2009)
Physicochemical and environmental plant physiology. Academic Press, S. Diego, CA, USA, pp. 600.
Gscholar
(26)
Pettorelli N, Vik JO, Mysterud A, Gaillard JM, Tucker CJ, Stenseth NC (2005)
Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology and Evolution 20: 503-510.
CrossRef | Gscholar
(27)
Pinkard EE, Patel V, Mohammed C (2006)
Chlorophyll and nitrogen determination for plantation-grown Eucalyptus nitens and E. globulus using a non-destructive meter. Forest Ecology and Management 223: 211-217.
CrossRef | Gscholar
(28)
Richardson AD, Duigan SP, Berlyn GP (2002)
An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytologist 153: 185-194.
CrossRef | Gscholar
(29)
Rigoni JPG, Capuani S, Brito-Neto JF, Beltrão NEM (2013)
Indirect measurement of photosynthetic pigments in the leaves of Jatropha curcas. Semina: Ciências Agrárias 34: 669-674.
CrossRef | Gscholar
(30)
Schlemmer M, Gitelson A, Schepers J, Ferguson R, Peng Y, Shanahan J, Rundquist D (2013)
Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels. International Journal of Applied Earth Observation and Geoinformation 25: 47-54.
CrossRef | Gscholar
(31)
Sims DA, Gamon JA (2002)
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sensing of Environment 81: 337-354.
CrossRef | Gscholar
(32)
Steele MR, Gitelson AA, Rundquist DCA (2008)
Comparison of two techniques for nondestructive measurement of chlorophyll content in grapevine leaves. Agronomy Journal 100: 779-782.
CrossRef | Gscholar
(33)
Uddling J, Gelang-Alfredsson J, Piikki K, Pleijel H (2007)
Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynthesis Research 91: 37-46.
CrossRef | Gscholar
(34)
Van Den Berg AK, Perkins TD (2004)
Evaluation of a portable chlorophyll meter to estimate chlorophyll and nitrogen contents in sugar maple (Acer saccharum Marsh.) leaves. Forest Ecology and Management 200: 113-117.
CrossRef | Gscholar
(35)
Wellburn AR (1994)
The spectral determination of chlorophylls a and b, as well as total carotenoids, using various solvents with spectrophotometers of different resolution. Journal of Plant Physiology 144: 307-313.
CrossRef | Gscholar
 

This website uses cookies to ensure you get the best experience on our website