Comparison of several methods of stands inventory prior to logging towards the yield volume of mangrove forest in Bintuni Bay, West Papua Province, Indonesia

Istomo,; Kusmana, Cecep; Dwiyanti, Fifi Gus; Malik, Zulfikar

doi:10.13057/biodiv/d210423

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Four species diversity resulted in different values and that correlate to their index variables characteristics such as Margalef and Menhinick indices correlated to the number of species while Simpson and Shannon indices to the number of individuals. Mangrove communities can only grow, develop, and survive in the latitudinal range of tidal areas (Istomo et al 2020) with limited species diversity and relatively clumped. Thus, the Margalef index was suitable for the mangrove community as conceptually and statistically, it could accommodate limited species and reduce the clumping of individuals.…”

Section: Discussionmentioning

confidence: 99%

Comparison of four species diversity indices in mangrove community

2021

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Abstract. Mulya H, Santosa Y, Hilwan I. 2021. Comparison of four species diversity indices in mangrove community. Biodiversitas 22: 3648-3655. Mangrove communities have a tidal environment that affects their species composition, which may be finite but the abundance may vary between species individuals. Many ecologists have used indices to measure species diversity without knowing the best suitable index for the community and its statistical characteristics. Therefore, this study aimed to compare species diversity indices in mangrove communities to obtain the best and most appropriate index for mangrove diversity. The comparison was done using the Simpson (1-D), Shannon, Menhinick, and Margalef indices, which were widely used and considered the best measures in various communities. The data was obtained from the field sampling using a single plot of 80×40 m2, and then it was simulated to obtain standardized variables so that the indices got the same treatment. It was calculated with descriptive statistics and species diversity indices among other Simpson, Margalef, Shannon, and Menhinick indices. Pearson correlation and UPGMA cluster were used to get conformity based on the best index criteria. The results showed the Margalef index was the best in performance that passed the assessment criteria more than Simpson (1-D), Shannon, and Menhinick index. It had a low correlation with sample variance and normality marker but had high variability of the index value. It was also sensitive to the number of species, good reduced individual sample, and good correlation with similar indices. Thus, we concluded that the Margalef index was the best index for mangrove community diversity measurement. The index was recommended for monitoring and evaluating the species diversity assessment for the mangrove community. It should not use several species diversity indices with similar meaning.

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Section: Discussionmentioning

confidence: 99%

Comparison of four species diversity indices in mangrove community

2021

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“…The sample consisted of 100 plots of 10 transects at 2 stations. The plot sample was determined using the line transect method with quadrant sampling technique (Kusmana, 2020). Sampling was carried out at two stations with each station consisting of five transect lines.…”

Section: Methodsmentioning

confidence: 99%

Density of Macroalgae Species on Pasir Panjang Beach Kupang City

2023

IJoBE

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Macroalgae have an important role for productivity and protection for other marine biota, namely as primary producers, carbon sinks, cosmetic ingredients and have economic value in the trade sector. Pasir Panjang Beach has a high aesthetic value, so it is used as a recreational space for the city community and as a destination for the development of tourist attractions. This study aims to determine the types and density of macroalgae in Pasir Panjang Beach, Kupang City. This study uses the line transect method with quadrant sampling technique with a size of 1m x 1m. The sample consisted of 100 plots of 10 transects at 2 stations. The samples were analyzed quantitatively descriptively to determine the morphological characteristics of the species and the density analysis of each species. The results found 15 types of macroalgae were divided into 3 divisions, namely the Chlorophyta division (7 species), Rhodophyta division (6 species, and Phaeophyta division (2 species). The highest species density at station 1 was Hypnea sp (33.38 ind/m 2 ) and the lowest namely the species Acantopora spicifera (0.02 ind/m 2 ), while at station 2, the highest density was Gracilaria salicornia (6.06 ind/m 2 ) and the lowest density was Neomeris dumentosa (0.14 ind/m 2 ). The conclusions are 1) There are 15 types of macroalgae from 3 divisions namely Chlorophyta, Rhodophyta and Phaeophyta, 2) The species density differs between stations.

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“…Measurements for all the vegetation were taken, including species identification (refer to Noor et al 1999); the height for the seedlings; and the stem diameter and total height for the saplings, poles, and trees. Mangroves were classified as seedlings (less than 1.5 m in height), saplings (less than 10 cm in diameter), and trees (more than 10 cm in diameter) (Istomo et al 2020). The stem diameter was measured at a 130 cm height from the stem base (Kauffman and Donato 2012).…”

Section: Methodsmentioning

confidence: 99%

Interspecific associations of mangrove species and their preferences for edaphic factors and water quality

et al. 2022

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Abstract. Marpaung BA, Budiadi, Pertiwiningrum A, Lestari LD, Nurjanto HH, Widiyatno. 2022. Interspecific associations of mangrove species and their preferences for edaphic factors and water quality. Biodiversitas 23: 4626-4635. Scientists from different regions have reported failures of mangrove restorations that were predicted due to the unsuitability of the species for the habitats. Habitat preferences should become an important consideration for mangrove restoration and management. This study aimed to find interspecific associations between species and examine the edaphic factors and water quality suitable for mangroves. Eight research stations (and 24 sample plots) were established purposively based on the vegetation structure and salinity levels in successful mangrove restorations in East Lampung in 2020. In each plot, vegetal data and sediment and water samples were taken. The species domination was analyzed using the important value index (IVI), and interspecific associations were determined using a 2x2 contingency table. The edaphic factors and water quality were analyzed using principal component analysis (PCA) to find factors that had significant correlations among others. The effects of the edaphic factors and water quality on species regeneration were analyzed using multiple linear regression by backward elimination to develop a model of habitat preferences for mangroves. Based on the results, Avicennia marina and Rhizophora sp. were the dominant species in all the zones. Still, the lack of interspecific association ( ) showed that both species had different preferences for the habitat. We found four principal components (PCs) of edaphic factors—i.e., the environmental (soil and surface) temperature, dusty clay and Ca, inorganic nitrogen (NH4-N and NO3-N), and Mg—and two PCs of water quality, i.e., nontoxic pollutants (total suspended solids and turbidity) and anthropogenic factors (NO2-N and PO4-P), as predictors for multiple linear regression. The seedlings of A. marina had no specific preferences for edaphic factors but significantly preferred nontoxic pollutants (R2 = 0.619), while the seedlings of Rhizophora spp. significantly preferred a specific environmental temperature, dusty clay and Ca, and inorganic nitrogen (R2 = 0.768), and nontoxic pollutants (R2 = 0.755). Combining A. marina and Rhizophora spp. in mangrove restorations should be avoided. Therefore, spatial planting patterns or sequential planting based on the succession stages of the habitat could be established.

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Comparison of several methods of stands inventory prior to logging towards the yield volume of mangrove forest in Bintuni Bay, West Papua Province, Indonesia

Cited by 5 publications

References 18 publications

Comparison of four species diversity indices in mangrove community

Comparison of four species diversity indices in mangrove community

Density of Macroalgae Species on Pasir Panjang Beach Kupang City

Interspecific associations of mangrove species and their preferences for edaphic factors and water quality

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