Density, coverage and biomass of seagrass ecosystem in the Lobam Island, Bintan Regency - Indonesia

Prarikeslan, Widya; Hermon, Dedi; Suasti, Yurni; Putra, Aprizon

doi:10.1088/1755-1315/314/1/012024

Cited by 9 publications

(12 citation statements)

References 13 publications

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“…The type of beach chosen in this research is the type of gently sloping beach, the beach is not directly adjacent to the high seas so that the waves are relatively calm, and the depth chosen is the depth in accordance with the parameters of the suitability of snorkelling tourism [11] [12]. From the above considerations, 4 observation station points emerged, with the coordinates of the station points is as follows:…”

Section: Methodsmentioning

confidence: 99%

“…Analysis of the suitability and potential of the area is done by the suspension method in which each parameter is given a value or score in accordance with the criteria [11]. [12].…”

Section: Fig1 Map Of Research Location Mapmentioning

confidence: 99%

“…The formula used for the suitability of snorkelling tours is shown in the following formula [11][12][13]: Based on the calculation of class intervals as above formulated, the physical suitability classification of marine tourism (snorkelling) is divided into four categories, i.e: S1 = very suitably (75-100%) S2 = quite suitable (50-<75%) S3 = conditionally suitable (25-<50%) N = incompatible (<25%).…”

Section: Fig1 Map Of Research Location Mapmentioning

confidence: 99%

“…Some tourist behaviours have the potential to damage coral reefs such as kicking corals, holding corals, walking on corals, due to snorkelling at inappropriate depths [10]. According to [11] the impact caused by each tourist behaviour on coral reefs is very small, but cumulatively these behaviours can put pressure on coral reefs and affect the percentage of coral cover.…”

Section: Introductionmentioning

confidence: 99%

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A Potential Locations of Marine Tourism in Pasumpahan Island, Padang City – Indonesia

Prarikeslan¹

2020

GEOMATE

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The purpose of this study was to determine the condition of the underwater substrate and the location that has the potential to be developed as marine tourism (snorkelling) in Pasumpahan Island, Padang city. The research method used scoring assessment the suitability parameters of marine tourism with weighting the score. The location in this research was Pasumpahan Island waters based on waters brightness, beach type, lifeform, and underwater substrate. Based on the results of the study it can be concluded that 1) the basic substrate of Pasumpahan Island waters is a living coral area of 63,900 m² with a percentage of 25.81%, dead coral covering 75,600 m² with a percentage of 30.54%, and sand covering 108,000 m² with a percentage of 43.63 %; and 2) Pasumpahan Island has a suitability category for snorkelling tours as follows, quite suitable category (S2) with an area of 64,859 m², very suitable category (S1) with an area of 117,276 m².

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Section: Methodsmentioning

confidence: 99%

“…Analysis of the suitability and potential of the area is done by the suspension method in which each parameter is given a value or score in accordance with the criteria [11]. [12].…”

Section: Fig1 Map Of Research Location Mapmentioning

confidence: 99%

Section: Fig1 Map Of Research Location Mapmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Potential Locations of Marine Tourism in Pasumpahan Island, Padang City – Indonesia

Prarikeslan¹

2020

GEOMATE

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“…The highest NDVI value of land cover vegetation in the satellite imagery SPOT-6 is represented by red and lower blue which represents the lowest pixel value [32]. From the type of land cover vegetation, it was found that green shrubs and paddy fields had the highest average vegetation index value of 0,474903 μm, and the lowest value was found in several mangrove locations that were flooded with water and vegetation at river banks with an average vegetation index value -0,188034 μm (Tabel 4 and Figure 2).…”

Section: Vegetation Densitymentioning

confidence: 99%

Cover Quality Index 2019 uses the Geographic Information System in Pariaman City, West Sumatra Province, Indonesia

Oktorie¹,

Hermon²,

Erianjoni³

et al. 2019

IJRTE

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The purpose of calculation and compiling the Land Cover Quality Index (LCQI) is to evaluate the value of natural and environmental resources based on land cover conditions in an administrative region such as city, regency and province in Indonesia referring to the Regulation Director General of Pollution Control and Environmental Damage Number P.1/PPKL/PKLA.4/2018. The analytical method used in the calculation of the Normalized Difference Vegetation Index (NDVI), the Maximum likelihood classification approach, and the preparation of LCQI calculation methods based on 1) sufficiency area (forest region) and forest cover at minimal 30% on rivers and islands; 2) Ability and suitability of land minimal 25%; and 3) a link with the direction of land use in urban areas of at minimal 30%. The results showed the vegetation density index value in Pariaman city was classified as a good category with a value of 0.474903 μm, the results of a land cover classification in Pariaman City with the largest region are found in mixed gardens land of 2,736.57 ha or 37%. Whereas the smallest region is found in cypress vegetation land as a greenbelt at the coastal border 12.06 ha or 0,16%. and the results of the LCQI calculation indicate the LCQI value in 2019 (24,06) which is in the alert classification (<50). The increase in land cover outside the forest region is mainly directed at increasing green open space because Pariaman City does not have natural forest which are vulnerable to changes in land cover because of its high population density

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Country-specific emission factor for developing a tier 3 system of Indonesia’s seagrass carbon inventory

Wahyudi¹,

Febriani²

2021

IOP Conf. Ser.: Earth Environ. Sci.

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Climate action regarding carbon inventory requires baseline assessment, data regarding annual changes, and evaluation of reductions in carbon emissions. However, many studies of seagrass ecosystems have focused only on carbon stock and sequestration, neglecting the importance of the carbon emission factor. It is known that emission factors for land-use change, including those in seagrass ecosystems, can be derived from biomass and sediment carbon stock. Since currently Indonesia only has data for biomass carbon stock, we propose the measurement of province-based emission factors. This study combines the available carbon stock data reported in national or international publications and conducts a meta-analysis to obtain emission factor values. The results show that the biomass standing carbon stock of Indonesia’s seagrass meadows ranges from 0.30 tC/ha (i.e., Special Region of Yogyakarta) to 16.51 tC/ha (i.e., Gorontalo province), while emission factor ranges from 0.012 tC/ha/yr to 0.661 tC/ha/yr (equal to 0.05 t CO2/ha/yr to 2.42 t CO2/ha/yr). These findings will be beneficial for developing Tier 3 carbon inventory since they allow country-specific emission factor for the seagrass ecosystem to be measured.

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Density, coverage and biomass of seagrass ecosystem in the Lobam Island, Bintan Regency - Indonesia

Cited by 9 publications

References 13 publications

A Potential Locations of Marine Tourism in Pasumpahan Island, Padang City – Indonesia

A Potential Locations of Marine Tourism in Pasumpahan Island, Padang City – Indonesia

Cover Quality Index 2019 uses the Geographic Information System in Pariaman City, West Sumatra Province, Indonesia

Country-specific emission factor for developing a tier 3 system of Indonesia’s seagrass carbon inventory

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