Spatial and temporal analysis for mangrove community healthiness in Liki Island, Papua-Indonesia

Nurdiansah, Doni; Dharmawan, I Wayan Eka

doi:10.1088/1755-1315/944/1/012017

Cited by 5 publications

(7 citation statements)

References 28 publications

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“…Mangrove canopy coverage analysis in Benoa Bay-Bali showed a higher percentage at Rhizophora forest than Sonneratia-dominated zones in respective values at about 77.91% and 52.35%. On the other hand, a pristine mangrove occupied by Rhizophoraceae domination was found consistently in dense coverage such as Wondama Gulf and Liki Island estuaries at about 90.0% and 80.4%, respectively (Dharmawan and Widyastuti 2017;Nurdiansah and Dharmawan 2021b). High canopy coverage in the Ceriops-dominated zones was detected in similar value to this study along less disturbed archipelagic mangroves in Middleburg-Miossu Island and Raja Ampat (Nurdiansah and Dharmawan 2021a;Pribadi et al 2020).…”

Section: Mangrove Community Structuresupporting

confidence: 82%

“…Benoa Bay-Bali mangroves were more dominated by tree stand level than sapling stands, especially in Sonneratia and Rhizophora forests (Andiani et al 2021). Less disturbing mangroves were commonly occupied by tree stands than sapling stands, such as mangroves in Wondama, Raja Ampat, and Liki Islands (Dharmawan and Widyastuti 2017;Pribadi et al 2020;Nurdiansah and Dharmawan 2021b). Moreover, B. gymnorrhiza trees were found fully dominated in Auki islands with no sapling stands on the mangrove forest due to a dense forest canopy that inhibits sapling growth (Dharmawan and Pramudji 2019).…”

Section: Mangrove Community Structurementioning

confidence: 99%

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Mangrove zonation, community structure and healthiness in Kei Islands, Maluku, Indonesia

Dharmawan¹,

RENYAAN²,

NURDIANSAH³

2022

Biodiversitas

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Abstract. Dharmawan IWE, Renyaan J, Nurdiansah D. 2022. Mangrove zonation, community structure and healthiness in Kei Islands, Maluku, Indonesia. Biodiversitas 23: 4918-4927. Forest structure and quality were studied in an archipelagic site in Indonesia which consists of estuarine and oceanic mangrove habitats. This study aimed to determine mangrove structure and estimate the spatial distribution of forest healthiness along the zones dominated by different genera. Forest zones were investigated using the Random Forest method utilizing a cloud-free Harmonized Sentinel-2A-Surface Reflectance image. Community structure measurement followed a stratified purposive sampling design along forest zonation. A spatial-based mangrove health index (MHI) model was applied to analyze forest healthiness distribution in each zone. Mangrove area was clearly classified into six genera-dominated zones such as Sonneratia, Rhizophora, Bruguiera, Ceriops, Xylocarpus and Lumnitzera from seaward to landward. The Rhizophora zone had the most extensive area proportion at approximately 68% of the total mangrove area. This study revealed that S. alba species dominated in the outmost zone at about 200% of IVI, while X. granatum and C. tagal were calculated in a larger IVI value in the more landward area. On the other hand, R. stylosa had a majority species composition in Rhizophora forest. According to spatial analysis of MHI, most zones had a majority area of excellent condition, emphasizing that the entire mangrove forest was pristine.

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Section: Mangrove Community Structuresupporting

confidence: 82%

Section: Mangrove Community Structurementioning

confidence: 99%

Mangrove zonation, community structure and healthiness in Kei Islands, Maluku, Indonesia

Dharmawan¹,

RENYAAN²,

NURDIANSAH³

2022

Biodiversitas

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“…Those three parameters were the main components in calculating plotbased MHI (Dharmawan et al 2020). Another study on Liki Island computed a similar mean value of MHI at about 60.03% (Nurdiansah and Dharmawan 2021b). Rhizophoradominated forest in Benoa Bay mangrove was found with the highest MHI average at 67.15±9.08% and ranging from 0.40% to 96.91%, while the Sonneratia zone had the lowest MHI, 60.34±8.93% in a slightly wider range than Rhizophora zone at about 0.16% -99.98%.…”

Section: Spatial Distribution Of Mhimentioning

confidence: 61%

Spatial distribution of mangrove health index on three genera dominated zones in Benoa Bay, Bali, Indonesia

SUGIANA¹,

ANDIANI²,

DEWI³

et al. 2022

Biodiversitas

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Abstract. Sugiana IP, Andiani AAE, Dewi IGAIP, Karang IWGA, As-Syakur AR, Fharmawan IWE. 2022. Spatial distribution of mangrove health index on three genera dominated zones in Benoa Bay, Bali, Indonesia. Biodiversitas 23: 3407-3418. A study of mangrove forest stratification was conducted in Benoa Bay which experienced high coastal development pressures during the last decade. The study aimed to determine mangrove health index distribution (MHI) and forest community structures along three genera-dominated zones which were Sonneratia, Rhizophora and Bruguiera. Random forest method was applied to classify the areas of distributed genera along the bay. Forest structure was assessed with 54 plots. The forest was mainly composed of Rhizophora and Sonneratia-dominated zones in a respective forest area proportion at approximately 51% and 45%. Those zones were dominated by R. mucronata and S. alba with an importance value index (IVI) at 266.35% and 145.57%, respectively. A narrow Bruguiera zone composed of B. gymnorrhiza domination was found in the most landward area, only covering 4% of the mangrove area. Overall accuracy and a kappa coefficient indicated high accuracy of forest classification at 97% and 0.94 respectively. We found that 47.44% of mangrove areas could be classified into the highest healthiness category indicating that the mangrove forest in Benoa Bay is in excellent condition. The Rhizophora zone made a significant contribution to the entire forest state since the excellent category coverage in this zone was approximately 73.80%.

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“…Penemuan lebih lanjut menunjukkan korelasi yang kuat antara ketiga parameter tersebut dengan index vegetasi yang dapat diketahui melalui analisis citra satelit. Sehingga nilai MHI dapat diprediksi dari beberapa nilai index vegetasi yaitu NBR (Normalized Burn Ratio), GCI (Green Chlorophyll Index), SIPI (Structure Insensitive Pigment Index) dan ARVI (Atmospherically Resistant Vegetation Index) (Nurdiansah & Dharmawan, 2021). Berdasarkan uraian diatas, tujuan dari penelitian ini adalah untuk memetakan dinamika spasial dan temporal kondisi hutan mangrove dengan pendekatan MHI dan menganalisis struktur komunitas hutan mangrove di kawasan pesisir Surabaya dan Sidoarjo.…”

Section: Pendahuluanunclassified

“…Nilai minimum MHI ditemukan pada 18% menggunakan formula asli karena jumlah yang lebih rendah tidak memiliki vegetasi lagi. Sebaliknya, nilai negatif dari MHI diinterpretasikan sebagai kolom air yang lebih dalam (Dharmawan, 2021;Nurdiansah & Dharmawan, 2021).…”

Section: Analisis Mangrove Health Index (Mhi)unclassified

Pemetaan kondisi hutan mangrove di kawasan pesisir Selat Madura dengan pendekatan Mangrove Health Index memanfaatkan citra satelit Sentinel-2

Hidayah

Rachman

As-syakur

2023

MGI

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Abstrak. Pemetaan dan pemantauan kondisi hutan mangrove diperlukan untuk rehabilitasi dan konservasi lingkungan. Mangrove Health Index (MHI) menggunakan analisis citra satelit merupakan pendekatan baru yang bisa digunakan untuk mengetahui kualitas lingkungan ekosistem hutan mangrove. Penelitian ini bertujuan untuk untuk mengetahui struktur komunitas hutan mangrove dan melakukan analisis spasial-temporal MHI di kawasan pesisir Surabaya dan Sidoarjo menggunakan citra satelit. Data yang digunakan untuk analisis struktur komunitas mangrove pada penelitian ini adalah hasil pengamatan lapang di 10 transek. Untuk analisis MHI menggunakan citra Sentinel 2 perekaman tahun 2015, 2018, 2021. Hasil analisis menunjukkan bahwa spesies mangrove yang paling dominan di lokasi penelitian adalah Avicennia marina. Analisis citra satelit mendeteksi pertambahan luas mangrove yang signifikan dari tahun 2015 hingga 2021 yaitu lebih dari 500 Ha. Berdasarkan analisis MHI, terjadi perubahan positif dari kondisi hutan mangrove dominansi buruk (MHI<33%) pada tahun 2015 menjadi sedang (33,4%<MHI< 66,67%) hingga baik (MHI > 66,68%). Pertambahan luas hutan mangrove diiringi dengan perbaikan kondisi ekosistem dengan indikator meningkatnya MHI.Abstract. Mapping and monitoring the condition of mangrove forests is needed for environmental rehabilitation and conservation. Mangrove Health Index (MHI) using satellite image analysis is a new approach that can be used to determine the environmental quality of mangrove forest ecosystems. This study aims to determine the structure of the mangrove forest community and conduct a spatial and temporal MHI analysis in the coastal areas of Surabaya and Sidoarjo. The data used in this study were the results of field observations on 10 transects. MHI analysis using Sentinel 2 imagery recorded in 2015, 2018, 2021. The results of the analysis show that the most dominant mangrove species in the research location is Avicennia marina. Analysis of satellite imagery detects a significant increase in mangrove area from 2015 to 2021, which is more than 500 Ha. Based on the MHI analysis, there was a positive change from poor dominant mangrove forest conditions (MHI <33%) in 2015 to moderate (33.4% < MHI < 66.67%) to good (MHI > 66.68%). The increase in the area of mangrove forests is accompanied by improvements in ecosystem conditions with indicators of increasing MHI.

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Spatial and temporal analysis for mangrove community healthiness in Liki Island, Papua-Indonesia

Cited by 5 publications

References 28 publications

Mangrove zonation, community structure and healthiness in Kei Islands, Maluku, Indonesia

Mangrove zonation, community structure and healthiness in Kei Islands, Maluku, Indonesia

Spatial distribution of mangrove health index on three genera dominated zones in Benoa Bay, Bali, Indonesia

Pemetaan kondisi hutan mangrove di kawasan pesisir Selat Madura dengan pendekatan Mangrove Health Index memanfaatkan citra satelit Sentinel-2

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