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Journal : Jurnal Kelautan Tropis

Analisis Multivariat pada Struktur Komunitas Mangrove di Kecamatan Rupat Utara Kabupaten Bengkalis Provinsi Riau Syahrial Syahrial; Muhammad Hatta; Chandrika Eka Larasati; Arina Ruzanna; Al Muzafri; La Ode Abdul Fajar Hasidu; Windi Syahrian; Zan Zibar
Jurnal Kelautan Tropis Vol 26, No 2 (2023): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v26i2.15622

Abstract

Increasing human activity in all aspects of life has contributed to the decline of mangrove forests, a multivariate analysis study on the structure of the mangrove community was conducted in July 2018 in North Rupat District, Bengkalis Regency, Riau Province with the objective of estimating or assessing the condition of the mangrove community structure. Data on the condition of mangrove vegetation was collected in six observations using line transects and plots measuring 10 x 10 m. Mangrove diversity was analyzed using the Shannon-Weaver and Simpson indexes, and variations in mangrove community the structure was analyzed using clusters, non-metric MDS, ANOSIM, and SIMPER. The study discovered 12 mangrove species in North Rupat District, Bengkalis Regency, Riau Province, which was classified into 6 families based on diversity analysis (H') Shannon Weaver indexes ranging from 01.34 to 01.72 and Simpson indexes ranging from 02.43 to 02.81. Furthermore, the results of the mangrove diversity analysis using multivariate clusters and non-metric MDS were divided into four groups, and while the cluster analysis based on the value of the mangrove density had a similarity of 60%, the variation in the significance of mangrove density was significantly different (R = 0.689, p = 0.000), and the mangrove species that compose varies between stations. Moreover, the trunk diameter of mangrove vegetation in North Rupat District, Bengkalis Regency, Riau Province is dominated by mangrove stands with a trunk diameter of 01.00 - 20.00 cm, with the mangrove vegetation that grows and develops at Stations 2 and 6 being relatively younger than the other stations. Stations 3 and 4 are considered more mature in terms of growth and development.  Peningkatan aktivitas manusia di segala setor kehidupan telah mendorong penurunan hutan mangrove, sehingga kajian analisis multivariat pada struktur komunitas mangrove di Kecamatan Rupat Utara Kabupaten Bengkalis Provinsi Riau telah dilakukan pada bulan Juli 2018 dengan tujuan untuk mengestimasi atau menilai kondisi struktur komunitas mangrovenya. Data kondisi vegetasi mangrove dikumpulkan pada enam stasiun pengamatan dengan membuat transek garis dan plot yang berukuran 10 x 10 m, kemudian keanekaragaman mangrovenya dianalisis menggunakan indeks Shannon-Weaver dan Simpson, sedangkan variasi struktur komunitas mangrovenya dianalisis berdasarkan cluster, non-metric MDS, ANOSIM dan SIMPER. Hasil kajian menemukan 12 spesies mangrove di Kecamatan Rupat Utara Kabupaten Bengkalis Provinsi Riau yang tergolong ke dalam 6 famili dengan analisis keanekaragaman (H’) indeks Shannon Weaver berkisar antara 01.34 – 01.72 dan indeks Simpson berkisar antara 02.43–02.81, kemudian hasil analisis keanekaragaman mangrovenya dengan multivariat cluster dan non-metric MDS terbagi atas empat kelompok, sedangkan analisis cluster berdasarkan nilai kerapatan mangrovenya memiliki kemiripan ± 60%, variasi signifikansi kerapatan mangrovenya berbeda nyata (R = 0.689, p = 0.000) serta spesies mangrove penyusun antar stasiun pengamatannya bervariasi. Selain itu, diameter batang vegetasi mangrove di Kecamatan Rupat Utara Kabupaten Bengkalis Provinsi Riau didominasi oleh tegakan mangrove berdiameter batang 01.00 – 20.00 cm, dimana vegetasi mangrove yang tumbuh dan berkembang di Stasiun 2 maupun 6 tergolong lebih muda dibandingkan stasiun yang lainnya, sedangkan vegetasi mangrove yang tumbuh dan berkembang di Stasiun 3 maupun 4 tergolong lebih matang.
Pemetaan Potensi Karbon Biru pada Kawasan Mangrove di Kabupaten Kayong Utara Raynaldo, Adityo; Saputra, Robin; Zibar, Zan
Jurnal Kelautan Tropis Vol 27, No 1 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i1.20196

Abstract

Distribution and extent of existing mangroves, conditions, and potential for blue carbon are needed to encourage the economy of coastal communities as coastal ecosystem services. Kayong Utara Regency as one of the regencies in the coastal area of West Kalimantan has the potential for mangroves to be utilized by coastal communities but there has been no ecological study of the potential for blue carbon contained therein. This study aims to map the distribution of mangroves and their conditions and to map the spatial distribution of mangrove carbon stocks in the Kayong Utara Regency. The mapping method for the distribution of existing mangroves is carried out using the visual interpretation method by making a certain false-color RGB composite, the distribution of mangroves is identified using nine key elements of image interpretation. Mangrove conditions were analyzed through mangrove cover using the hemispherical photography method. Mapping of carbon stocks was carried out using a linear regression model formulation of several vegetation index variables and carbon stock values from making observation plots, then analyzed spatially. The research results show that the mangrove area in North Kayong Regency is 20,543.40 ha, spread throughout the district. Mangrove conditions consist of the categories rare 3.92%, moderate 53.07%, and dense 43.01%. Tree density (DBH ≥ 10 cm) from 56 survey points ranged from 100 – 2800 individual ha-1 with AGC values ranging from 4.21 – 1375.74 Mg ha-1. The dominant mangrove species found included Avicennia alba, A. lanata, A. marina, Bruguiera parviflora, Excoecaria agallocha, Rhizophora apiculata, R. mucronata, R. stylosa, Xylocarpus granatum. The best linear regression model in this study uses the MDI2 variable with the formulation y = 225.08x – 114.55 and the Pearson correlation value (r) = 0.377. The AGC potential value of the selected model ranges from 0 – 631.92 Mg ha-1 spread with the largest potential value found in Pulau Maya District. Data sebaran dan luasan mangrove eksisting, kondisi dan potensi karbon biru diperlukan untuk mendorong peningkatan ekonomi masyarakat pesisir sebagai jasa ekosistem pesisir yang masih terbatas saat ini. Kabupaten Kayong Utara sebagai salah satu Kabupaten di wilayah pesisir Kalimantan Barat memiliki potensi mangrove yang dimanfaatkan oleh masyarakat pesisir namun belum ada kajian ekologis tentang potensi karbon biru yang terdapat didalamnya. Penelitian ini bertujuan untuk memetakan sebaran mangrove dan kondisjnya serta memetakan distribusi spasial stok karbon mangrove di Kabupaten Kayong Utara. Metode pemetaan sebaran mangrove eksisting dilakukan dengan menggunakan metode interpetasi visual dengan membuat komposit false-color RGB tertentu, sebaran mangrove diidentifikasi dengan menggunakan sembilan unsur kunci interpetasi citra. Kondisi mangrove dianalisis melalui tutupan mangrove dengan metode hemispherical photography. Pemetaan stok karbon dilakukan dengan formulasi model regresi linear beberapa variabel indeks vegetasi dan nilai stok karbon dari pembuatan plot pengamatan, kemudian dianalisis secara spasial. Hasil penelitian menunjukkan luasan mangrove di Kabupaten Kayong Utara sebesar 20.543,40 ha, tersebar di seluruh Kecamatan. Kondisi mangrove terdiri atas kategori jarang 3,92%, sedang 53,07% dan rapat 43,01%. Kerapatan pohon (DBH ≥ 10 cm) dari 56 titik survey berkisar antara 100 – 2800 ind ha-1 dengan nilai AGC berkisar 4,21 – 1375,74 Mg ha-1. Spesies mangrove dominan yang ditemukan antara lain Avicennia alba, A. lanata, A. marina, Bruguiera parviflora, Excoecaria agallocha, Rhizophora apiculata, R. mucronata, R. stylosa, Xylocarpus granatum. Model regresi linear yang terbaik pada penelitian ini menggunakan variabel MDI2 dengan formulasi y = 225,08x – 114,55 dan nilai korelasi pearson (r) = 0,377. Nilai potensi AGC dari model yang dipilih berkisar antara 0 – 631,92 Mg ha-1 tersebar dengan nilai potensi terbesar terdapat di Kecamatan Pulau Maya.