Net primary productivity of Bruguiera parviflora (Wight &amp; Arn.) dominated mangrove forest at Kuala Selangor, Malaysia

Hossain, Mahmood; Othman, Saberi; Bujang, Japar Sidik; Kusnan, Misri

doi:10.1016/j.foreco.2007.09.011

Cited by 46 publications

(16 citation statements)

References 18 publications

(21 reference statements)

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“…Norhayati and Latiff (2001) also reported 115.56 t ha −1 of biomass for mixed mangrove (R. apiculata, R. mucronata, B. gymnorrhiza, B. parviflora, C. tagal, X. granatum) forests in Langkawi Island, Malaysia. In this present study, the level of aboveground biomass R. apiculata was lower compared to those reported by Christensen (1978); Gong and Ong (1990); Hossain et al (2008) and Norhayati and Latiff (2001) globally (Table 2). The proportions of biomass in this present study are unlikely among all components of R. apiculata.…”

Section: Discussioncontrasting

confidence: 78%

“…However, Heryati et al (2011) mentioned that the amount of the stem biomass is closely related to the production of trees obtained through photosynthesis which is generally stored in the trunk. Similarly, Hossain et al (2008) reported the same proportions of biomass stem>branch>leaf>reproductive components for B. parviflora in Kuala Selangor, Malaysia Table 3. All biomass proportion values found for R. apiculata in this present study are comparable with other studies elsewhere Table 3.…”

Section: Discussionmentioning

confidence: 70%

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Aboveground Biomass Production of <i>Rhizophora apiculata</i> Blume in Sarawak Mangrove Forest

Frederick¹

2011

American Journal of Agricultural and Biological Sciences

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Problem statement: Mangrove forests are found in tropical and subtropical coastal tidal regions. Rhizophora apiculata Blume is one of the most important species in mangrove forest. It is also one of the commercial mangrove timber species in Asia-Pacific region which dominates large areas of mangrove in this region. In order to understand forest ecosystem characteristics and to establish the proper management system, a precise estimation of biomass is necessary. The objective of this study is to quantify the aboveground biomass production and stem volume of R. apiculata in Awat-Awat mangrove forest, Sarawak. Approach: Seven representative trees were used in this study for sampling from February 2011 to March 2011. Allometric relationships were examined using either independent variable Diameter (D) or combination of quadratic of D and Height (D 2 H). Results: The best fit of allometric equations were developed from the combination of quadratic of D and H (y = 0.055×0.948, R 2 = 0.98) which is more recommended to estimate biomass and stem volume of R. apiculata in Awat-Awat mangrove forest, Sarawak. Total aboveground biomass and stem volume of R. apiculata were 116.79 t h −1 and 65.55 m 3 h −1 , respectively. Conclusion: Aboveground biomass and stem volume is closely related with tree diameter and height which indicates that aboveground biomass and stem volume will increase with increasing diameter and height of R. apiculata.

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Section: Discussioncontrasting

confidence: 78%

Section: Discussionmentioning

confidence: 70%

Aboveground Biomass Production of <i>Rhizophora apiculata</i> Blume in Sarawak Mangrove Forest

Frederick¹

2011

American Journal of Agricultural and Biological Sciences

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“…Considering that the development of allometric models for biomass estimation assumes minimization of errors and maximized accuracy, it is desirable that the selected models present minimum SEE and maximum R 2 a values. As presented before, the models that were under logarithmic transformation were the only ones to meet the assumptions of normality and homogeneity of variances and they also showed better adjustment and lower standard errors, which is in agreement with the findings of CLOUGH; SCOTT (1989), ONG et al (2004MAcGUINNESS (2005) and HOSSAIN et al (2008). This pattern explains why the non-transformed equations were discarded from the analysis.…”

Section: Discussionsupporting

confidence: 89%

Allometric models for estimating the aboveground biomass of the mangrove Rhizophora mangle

et al. 2017

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Santos et al.: Models for estimating the biomass of mangroves 44Allometric models for estimating the aboveground biomass of the mangrove Rhizophora mangleThe development of species-specific allometric models is critical to the improvement of aboveground biomass estimates, as well as to the estimation of carbon stock and sequestration in mangrove forests. This study developed allometric equations for estimating aboveground biomass of Rhizophora mangle in the mangroves of the estuary of the São Francisco River, in northeastern Brazil. Using a sample of 74 trees, simple linear regression analysis was used to test the dependence of biomass (total and per plant part) on size, considering both transformed (ln) and not-transformed data. Best equations were considered as those with the lowest standard error of estimation (SEE) and highest adjusted coefficient of determination (R values, probably attributed to the seasonal nature of this compartment. "Basal Area² × Height" showed to be the best predictor, present in most of the bestfitted equations. The models presented here can be considered reliable predictors of the aboveground biomass of R. mangle in the NE-Brazilian mangroves as well as in any site were this widely distributed species present similar architecture to the trees used in the present study. , o que pode ser atribuído ao caráter sazonal deste compartimento. "Área basal²×Altura" demonstrou ser o melhor preditor, presente na maioria das equações melhor ajustadas. Os modelos aqui apresentados podem ser considerados preditores confiáveis da biomassa aérea de R. mangle no manguezal do Nordeste brasileiro, bem como em qualquer local onde esta espécie de ampla distribuição assemelhe-se à arquitetura das árvores utilizadas no presente estudo. AbstrAct resumoDescritores: Equações alométricas, Biomassa aérea, Manguezal, Análises de regressão, Rhizophora mangle.

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“…Mangroves are the dominant woody vegetation of intertidal coastlines in the tropical, sub-tropical and warm temperate zones of the world (Mahmood et al 2008), and these plants are constantly subjected to salinity ranging from seasonally freshwater (with traces of salinity) to hypersaline conditions (Ye et al 2005, Nguyen et al 2015. Salinity is known to limit propagule germination, seedling growth, and survival of mangroves (Mahmood et al 2014a).…”

Section: Introductionmentioning

confidence: 99%

“…Fruits, consequently, may come either in May-July or in December-February, and each fruit contains approximately 4-6 semi-triangular seeds. Both fruits and seeds are buoyant and water dispersed, and seeds show epigeal germination (Mahmood 2015). Seed germination is greater in less saline conditions (approximately 60%) than in high saline conditions (approximately 20% - Mahmood et al 2014a).…”

Section: Introductionmentioning

confidence: 99%

Salinity strongly drives the survival, growth, leaf demography, and nutrient partitioning in seedlings of Xylocarpus granatum J. König

Siddique¹,

Saha²,

Salekin³

et al. 2017

iForest

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Salinity is increasing in the Sundarbans (Bangladesh) due to sea-level rise and the reduction of fresh water flow. Xylocarpus granatum is one of the most valuable mangrove tree species of the Sundarbans. We conducted a six-month long study to investigate the effect of salinity on the survival, growth, leaf demography, and nutrient partitioning in parts of X. granatum seedlings. Our results showed that most of the seedlings (90%) survived at 0 to 5 PSU salinity, and this survival percentage was found to decrease at higher saline conditions. Salinity of more than 25 PSU was lethal to the plants as no seedlings survived under these conditions. In this salinity (25 PSU), accelerated leaf fall coupled with a reduction in the new leaves caused loss of leaves. The relative growth rate (RGR) was higher at 0 to 5 PSU salinity, and conversely, a lower growth rate was observed with increased salinity. Higher saline conditions created stress, which inhibited nutrient (N, P and K) accumulation in different parts (leaf, stem, bark and root) of the seedlings. We concluded that salinity is a critical factor for the growth and survival of X. granatum either by inhibiting plant nutrient uptake or due to salinity related toxicity.

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Net primary productivity of Bruguiera parviflora (Wight & Arn.) dominated mangrove forest at Kuala Selangor, Malaysia

Cited by 46 publications

References 18 publications

Aboveground Biomass Production of <i>Rhizophora apiculata</i> Blume in Sarawak Mangrove Forest

Aboveground Biomass Production of <i>Rhizophora apiculata</i> Blume in Sarawak Mangrove Forest

Allometric models for estimating the aboveground biomass of the mangrove Rhizophora mangle

Salinity strongly drives the survival, growth, leaf demography, and nutrient partitioning in seedlings of Xylocarpus granatum J. König

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