Relationship between specific leaf area, leaf thickness, leaf water content and SPAD-502 readings in six Amazonian tree species

Marenco, Ricardo Antonio; Antezana-Vera, Saul Alfredo; Nascimento, Helena Cristina Santos

doi:10.1007/s11099-009-0031-6

Cited by 181 publications

(116 citation statements)

References 31 publications

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“…The relationship depends on leaf structure factors such as leaf thickness, leaf mass per area (LMA) [28], and the proportion of vascular tissue [59], characteristics known to vary among species. Equations reported by Coste et al [28], Cerovic et al [59], and Marenco et al [60] have general applicability as they are estimated from different species covering a range of leaf characteristics. For the particular case of mangroves, the only equation reported in the literature is that of Connelly [30], established for the red mangrove (R. mangle).…”

Section: Spad Calibrationmentioning

confidence: 98%

Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8

et al. 2015

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There is a need to develop indicators of mangrove condition using remotely sensed data. However, remote estimation of leaf and canopy biochemical properties and vegetation condition remains challenging. In this paper, we (i) tested the performance of selected hyperspectral and broad band indices to predict chlorophyll concentration (CC) on mangrove leaves and (ii) showed the potential of Landsat 8 for estimation of mangrove CC at the landscape level. Relative leaf CC and leaf spectral response were measured at 12 Elementary Sampling Units (ESU) distributed along the northwest coast of the Yucatan Peninsula, Mexico. Linear regression models and coefficients of determination were computed to measure the association between CC and spectral response. At leaf level, the narrow band indices with the largest correlation with CC were Vogelmann indices and the MTCI (R 2 > 0.5). Indices with spectral bands around the red edge (705-753 nm) were more OPEN ACCESSRemote Sens. 2015, 7 14531 sensitive to mangrove leaf CC. At the ESU level Landsat 8 NDVI green, which uses the green band in its formulation explained most of the variation in CC (R 2 > 0.8). Accuracy assessment between estimated CC and observed CC using the leave-one-out cross-validation (LOOCV) method yielded a root mean squared error (RMSE) = 15 μg·cm −2 , and R 2 = 0.703. CC maps showing the spatiotemporal variation of CC at landscape scale were created using the linear model. Our results indicate that Landsat 8 NDVI green can be employed to estimate CC in large mangrove areas where ground networks cannot be applied, and mapping techniques based on satellite data, are necessary. Furthermore, using upcoming technologies that will include two bands around the red edge such as Sentinel 2 will improve mangrove monitoring at higher spatial and temporal resolutions.

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Section: Spad Calibrationmentioning

confidence: 98%

Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8

et al. 2015

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“…A eficiência no uso do N foi mais elevada nas espécies com maior área foliar específica, corroborando os resultados de Poorter e Evans (1998) e Reich et al (1998). Esses autores indicaram que folhas mais finas (maior AFE) fazem melhor uso do N disponível, embora folhas mais finas tenham menor teor de clorofila por unidade de área e, consequentemente, menores valores SPAD (MARENCO et al, 2009) e menores teores de nitrogênio e fósforo por unidade de área. Chang e Robison (2003) também observaram maiores valores de SPAD em folhas com maior teor de N. Os resultados deste trabalho apontam a necessidade de se efetuarem estudos in loco envolvendo a adição de fósforo ao solo para quantificar o efeito do aumento na disponibilidade desse nutriente no crescimento e fisiologia das árvores.…”

Section: Mendes Kr E Marenco Raunclassified

Crescimento e eficiência fotossintética de uso do nitrogênio e fósforo em espécies florestais da Amazônia na fase juvenil

Mendes

Marenco²,

Magalhães³

2013

Rev. Árvore

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RESUMO -Na Floresta Amazônica, a fotossíntese e o crescimento das árvores podem ser limitados pela disponibilidade de nutrientes. O objetivo deste trabalho foi determinar o efeito do conteúdo de nitrogênio (N) e fósforo (P) foliar na fotossíntese e a eficiência do uso destes nutrientes nas taxas fotossintéticas, bem como avaliar o efeito da luminosidade no crescimento em 10 espécies florestais da Amazônia Central. Os dados foram coletados em janeiro de 2008. A capacidade fotossintética (A pot ) foi positivamente relacionada com o conteúdo de N e P, mas a capacidade fotossintética da folha foi responsiva apenas quanto à eficiência no uso do P. Os conteúdos de N e P aumentaram com a irradiância do sub-bosque. Observou-se relação positiva entre o conteúdo de N e a relação N/P, mas a razão N/P não teve efeito na eficiência do uso do P. A área foliar específica Correlacionou negativamente com N e P, e a eficiência no uso do N diminuiu com o aumento da razão N/P, que não teve efeito na eficiência do uso do P. O crescimento em diâmetro aumentou com a luminosidade do sub-bosque. Conclui-se que as arvoretas têm alta sensibilidade às variações no ambiente luminoso e o P é utilizado de forma altamente eficiente nas espécies estudadas.Palavras-chave: Área foliar específica; Irradiância do sub-bosque; Teor de nutrientes foliar GROWTH AND PHOTOSYNTHETIC USE EFFICIENCY OF NITROGEN AND PHOSPHORUS IN SAPLINGS OF AMAZONIAN TREE SPECIES

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“…Ψ L was measured in four leaves per plant and in the same plants used to measure photosynthetic rates. Leaf chlorophyll content was calculated after pigment extraction in 80%-acetone (v/v) and the absorbance of chloroplast solution measured at 645 and 663 nm, as described elsewhere (MARENCO et al, 2009). …”

Section: Gas Exchange and Water Potential Measurements (Experiments 1)mentioning

confidence: 99%

Growth, leaf and stomatal traits of crabwood (Carapa guianensis Aubl.) in central Amazonia

Camargo

Marenco

2012

Rev. Árvore

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-Crabwood (Carapa guianensis Aubl.) is a fast growing tree species with many uses among Amazonian local communities. The main objective of this study was to assess the effect of seasonal rainfall pattern on growth rates, and seasonal and diurnal changes in leaf gas exchange and leaf water potential (Ψ L ) in crabwood. To assess the effect of rainfall seasonality on growth and physiological leaf traits an experiment was conducted in Manaus, AM (03° 05´ 30" S, 59° 59´ 35" S). In this experiment, six 6-m tall plants were used to assess photosynthetic traits and Ψ L . In a second experiment the effect of growth irradiance on stomatal density (S D ), size (S S ) and leaf thickness was assessed in 0.8-m tall saplings. Stomatal conductance (g s ) and light-saturated photosynthesis (A max ) were higher in the wet season, and between 09:00 and 15:00 h. However, no effect of rainfall seasonality was found on Ψ L and potential photosynthesis (CO 2 -saturated). Ψ L declined from -0.3 MPa early in the morning to -0.75 MPa after midday. It increased in the afternoon but did not reach full recovery at sunset. Growth rates of crabwood were high, and similar in both seasons (2 mm month -1 ). Leaf thickness and S D were 19% and 47% higher in sun than in shade plants, whereas the opposite was true for S S . We conclude that Ψ L greatly affects carbon assimilation of crabwood by reducing g s at noon, although this effect is not reflected on growth rates indicating that other factors offset the effect of g s on A max .Keywords: Photosynthesis, Stomatal density, Crabwood and Amazonia. CRESCIMENTO, CARACTERÍSTICAS FOLIARES E ESTOMÁTICAS

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Relationship between specific leaf area, leaf thickness, leaf water content and SPAD-502 readings in six Amazonian tree species

Cited by 181 publications

References 31 publications

Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8

Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8

Crescimento e eficiência fotossintética de uso do nitrogênio e fósforo em espécies florestais da Amazônia na fase juvenil

Growth, leaf and stomatal traits of crabwood (Carapa guianensis Aubl.) in central Amazonia

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