Leaf Thickness of Mangroves (Rhizophora mangle) Growing in Different Salinities

Camilleri, J. C.; Ribi, Georg

doi:10.2307/2387959

Cited by 51 publications

(23 citation statements)

References 5 publications

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“…Salinity response in Rhizophora species could be identified on leaf biomass. Higher exposed salinity stimulated ticker leaves area and water content (Camileri and Ribi, 1983).…”

Section: Discussionmentioning

confidence: 93%

Pristine Mangrove Community in Wondama Gulf, West Papua, Indonesia

Dharmawan

Widyastuti

2017

Mar. Res. Indonesia

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Papua shoreline has been considered as the most extensive mangrove area in Indonesia and great size of their trees. It implies that the forest could be a perfect habitat for biota food web due to its high productivity. Wondama mangrove, part of Cendrawasih National Park -West Papua, had a promising mangrove forest to be discovered. Nevertheless, the forest was rarely studied due to limited access and costly, so that the scientific data was difficult to be found scientifically. A preliminary study was carried out to identify the condition of mangrove in this area. The objectives of this study was to analyze mangrove community health and structure. Canopy coverage and vegetation structure data were collected from 107 circular plots included three plot areas (radian: 5 m, 2.5 m and 1 m) which were distributed to determine three plant classes i.e. tree, sapling and seedling, respectively. Present study showed that Wondama mangrove is a pristine mangrove community. It had large size of tree trunk diameter by 19.77± 6.55 cm averagely. Its diameter size affected on low tree density which was less than 1000 tree/ha. Those two parameters were strongly negative-correlated each other. On the other hand, community canopy was highly covered mangrove area by 82.46±6.43%. Rhizophora has mostly dominated in the forest. Mangrove regeneration in Wondama was excellent referring to density and species composition of sapling-seedling levels.

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“…Salinity response in Rhizophora species could be identified on leaf biomass. Higher exposed salinity stimulated ticker leaves area and water content (Camileri and Ribi, 1983).…”

Section: Discussionmentioning

confidence: 93%

Pristine Mangrove Community in Wondama Gulf, West Papua, Indonesia

Dharmawan

Widyastuti

2017

Mar. Res. Indonesia

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“…In addition, Lima et al [79] reported significantly lower palisade, spongy parenchyma, and total leaf thickness for R. mangle. Furthermore, physical gradients such as waterlogging [80] and salinity [81][82][83] act on mangrove leaf morphology and pigment concentration and this, in turn, could affect the visible and NIR leaf reflectance.…”

Section: Spectral Signature and Chl Concentrationmentioning

confidence: 99%

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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“…The size of red mangrove leaves in the fringe forest is large, reflecting lower salinity stress because red mangrove leaves become smaller and thicker at higher salinities (Lugo et al 1981, Camilleri andRibi 1983). Senescent leaves are much smaller than the old mature ones (Table 3).…”

Section: Physiognomy and Ecophysiologymentioning

confidence: 99%

Ecophysiology of a Mangrove Forest in Jobos Bay, Puerto Rico

Lugo

Medina

Cuevas

et al. 2007

Caribbean Journal of Science

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ABSTRACT.-We studied gas exchange, leaf dimensions, litter production, leaf and litterfall chemistry, nutrient flux to the forest floor, retranslocation rates, and nutrient use efficiency of mangroves in Jobos Bay, Puerto Rico. The fringe forest had a salinity gradient from the ocean (35‰) to a salt flat (100‰) and a basin (about 80‰). Red (Rhizophora mangle), white (Laguncularia racemosa), and black (Avicennia germinans) mangroves were zoned along this gradient. Photosynthetic rates, stomatal conductance, leaf area and weight, leaf specific area, and nutrient use efficiency decreased with increasing salinity, while xylem tension, nutrient retranslocation, and leaf respiration increased with increasing salinity. The concentration of some leaf elements increased with salinity (N, P, Mg, Na) while others decreased (Ca). Leaf specific area was less variable than leaf area or weight.

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Leaf Thickness of Mangroves (Rhizophora mangle) Growing in Different Salinities

Cited by 51 publications

References 5 publications

Pristine Mangrove Community in Wondama Gulf, West Papua, Indonesia

Pristine Mangrove Community in Wondama Gulf, West Papua, Indonesia

Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8

Ecophysiology of a Mangrove Forest in Jobos Bay, Puerto Rico

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