Struktur Dan Kondisi Kesehatan Komunitas Mangrove Di Pulau Middleburg-Miossu, Papua Barat

Nurdiansah, Doni; Dharmawan, I Wayan Eka

doi:10.29244/jitkt.v13i1.34484

Cited by 11 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These measurements served as indicators of thickness and density. These measurements identified the type of mangroves in the tree category with a trunk circumference of 16 cm (Nurdiansah & Dharmawan, 2021). 2021) applied to the processing of PlanetScope satellite image data from the Dove-R sensor.…”

Section: Methodsmentioning

confidence: 99%

Suitability of Mangrove Tourism Areas in Cilamaya Wetan District, Karawang Regency

Kurniawansyah,

Susiloningtyas,

Manessa

2023

For. Geo.

View full text Add to dashboard Cite

The research described here was conducted at the Tangkolak Marine Center (TMC) tourist attraction in Cilamaya Wetan District, Karawang Regency, Indonesia in November and December 2019. This research aimed to analyze the suitability of the mangrove tourism area using PlanetScope sensor Dove-R satellite imagery. The research method consisted of literature review, observation, calculation of the NDVI (Normalized Difference Vegetation Index) formula using PlanetScope sensor Dove-R satellite imagery, and direct measurements of transects and sample plots. The variables used were thickness, density, mangrove types, biota objects, tides, area characteristics, and accessibility. The results showed that mangrove tourism in TMC could be classified into two categories: suitable (65%-80%) and conditionally-compliant. According to the classification, the area is characterized by a mangrove thickness of up to 175.0 meters, a mangrove density between 15-25 tree/100 m2, 3-5 types of mangrove species, and associated biota including mudskipper fish, shrimp, crab, and crane. Meanwhile, the other area classified as conditionally compliant is characterized by a thickness of up to 48.2 meters, a mangrove density of 5-10 tree/100 m2, 2 species of mangrove, and associated biota in the form of mudskipper fish, shrimp, and crab. The research highlights the successful application of remote sensing data, specifically PlanetScope satellite imagery, for studying mangrove tourism areas, indicating its potential as a valuable alternative data source for such investigations.

show abstract

Section: Methodsmentioning

confidence: 99%

Suitability of Mangrove Tourism Areas in Cilamaya Wetan District, Karawang Regency

Kurniawansyah,

Susiloningtyas,

Manessa

2023

For. Geo.

View full text Add to dashboard Cite

show abstract

“…Overall accuracy assessment was done using GPS data of mangrove presence obtained from field observations. Mangrove healthiness distribution was analyzed based on the spatial model of the Mangrove Health Index developed by Nurdiansyah and Dharmawan [4]. This model used a combination of four vegetation indices: NBR, GCI, SIPI, and ARVI.…”

Section: Spatial Analysismentioning

confidence: 99%

Mangrove Community Structure and Healthiness in Rote Ndao, East Nusa Tenggara

Fakhrurrozi,

Yuniar,

Alam

et al. 2024

BIO Web Conf.

View full text Add to dashboard Cite

Mangroves in Rote Ndao play an important role in protecting and preserving 65% of fish and marine biota in this surrounding area. Unfortunately, the data and information about the condition of the mangrove ecosystem are limited and less published. This study aimed to determine the mangrove community structure and spatial distribution of mangrove healthiness in Rote Ndao District. Mangrove distribution was investigated using the k-means algorithm classification method by Sentinel 2A Surface Reflectance. Mangrove community structure and condition were studied in 39 observation plots spread around Rote Ndao Regency. The Healthiness distribution of the mangrove ecosystem was analyzed using the MHI Algorithm produced by Dharmawan. A total of 13 mangrove species have been identified, with the highest Important Value Index (IVI) Rizhophora apiculata and Sonneratia alba. The average canopy cover shows a medium value of 63.48±16.34%, density of 21.55±9.31 stand/plot, Diameter Breast Height (DBH) 15.93±5.25 cm, and height 12.05±4.54 m. Mangrove Health Index (MHI) shows a moderate to excellent category with an average of 64.01±13.18 %. The distribution of mangrove areas in Rote Ndao is 2,081.44 ha, and 6% or 124 ha areas are in the poor category.

show abstract

“…Rata-rata diameter tegakan di lokasi penelitian lebih rendah dibandingkan di Ternate sebesar 16,63±1,73 cm (Arbi et al, 2018); Pulau Belitung bagian selatan sebesar 15,46±1,92 cm (Suyarso et al, 2018); dan Pulau Middleburg-Miossu, Papua Barat sebesar 12,83±2,78 cm (Nurdiansah & Dharmawan, 2021). Zona dengan kerapatan tegakan yang tinggi (zona 3) cenderung memiliki diameter tegakan rata-rata terendah.…”

Section: Struktur Tegakan Mangroveunclassified

Hubungan Antar Parameter Struktur Tegakan Mangrove Dalam Estimasi Simpanan Karbon Aboveground Pada Skala Komunitas

Andiani¹,

Karang²,

Putra³

et al. 2021

J. Ilmu dan Teknologi Kelautan Tropis

View full text Add to dashboard Cite

Mangrove merupakan ekosistem pesisir yang memiliki kemampuan sangat baik dalam menyerap dan menyimpan karbon. Struktur tegakan mangrove memberikan kontribusi signifikan terhadap estimasi simpanan karbon yang umumnya tergambarkan pada persamaan alometrik dalam skala individu. Penelitian simpanan karbon atas permukaan tanah (abovegroundada komunitas mangrove telah dilakukan di mangrove Teluk Benoa. Penelitian ini bertujuan untuk membangun model dalam mengestimasi simpanan karbon aboveground dari beberapa parameter struktur tegakan mangrove. Metode stratified purposive sampling digunakan dalam penentuan sebaran titik penelitian. Sebanyak tiga zona (1–3) diidentifikasi berdasarkan interpretasi analisis mRE-SR (modified red edge-simple ratio) dan jenis mangrove yang mendominasi. Estimasi simpanan karbon aboveground diperoleh dengan metode non-destructive menggunakan persamaan common allometric. Hasil penelitian menunjukkan struktur tegakan mangrove zona 1 cenderung berbeda signifikan dengan zona lainnya. Secara keseluruhan, rata-rata simpanan karbon aboveground sebesar 193,45±34,88 ton C/ha. Simpanan karbon aboveground tertinggi ditemukan pada zona 1 yang didominasi jenis Sonneratia alba. Analisis regresi linear dan Akaike’s Information Criterion (AIC) menunjukkan bahwa kombinasi dari tutupan kanopi, kerapatan pohon, kerapatan pancang dan diameter pohon menjadi model terbaik dalam mengestimasi simpanan karbon pada skala komunitas. Model kombinasi ini memiliki nilai koefisien regresi tertinggi dan nilai root mean squared error (RMSE) terendah dibandingkan dengan model lainnya. Hasil penelitian diharapkan dapat digunakan dalam mengestimasi simpanan karbon secara lebih efisien dan akurat dalam skala komunitas.

show abstract

Struktur Dan Kondisi Kesehatan Komunitas Mangrove Di Pulau Middleburg-Miossu, Papua Barat

Cited by 11 publications

References 25 publications

Suitability of Mangrove Tourism Areas in Cilamaya Wetan District, Karawang Regency

Suitability of Mangrove Tourism Areas in Cilamaya Wetan District, Karawang Regency

Mangrove Community Structure and Healthiness in Rote Ndao, East Nusa Tenggara

Hubungan Antar Parameter Struktur Tegakan Mangrove Dalam Estimasi Simpanan Karbon Aboveground Pada Skala Komunitas

Contact Info

Product

Resources

About