Using fisher knowledge, mapping population, habitat suitability and risk for the conservation of dugongs in Johor Straits of Malaysia

Hashim, Mazlan; Ito, Shuhei; Numata, Shusuke; Hosaka, Tetsurō; Hossain, Mohammad Shawkat; Misbari, Syarifuddin; Yahya, Nurul Nadiah; Ahmad, Samsudin

doi:10.1016/j.marpol.2017.01.002

Cited by 30 publications

(14 citation statements)

References 36 publications

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“…LEK can also be used to direct exploratory scientific sampling efforts. Engaging fishers and other users specifically can take advantage of their regular access to the sea (Hashim et al, 2017;Cullen-Unsworth et al, 2018). A combination of science and LEK can provide data across larger temporal and spatial scales.…”

Section: Focus On Contributorsmentioning

confidence: 99%

Toward a Coordinated Global Observing System for Seagrasses and Marine Macroalgae

et al. 2019

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Section: Focus On Contributorsmentioning

confidence: 99%

Toward a Coordinated Global Observing System for Seagrasses and Marine Macroalgae

et al. 2019

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“…Kehadiran jenis lamun yang menjadi makanan favorit dugong juga dapat menjadi indikator keberadaan dugong di suatu perairan. Menurut Tol et al (2016); Hashim et al, (2017); Dewi et al (2018), bahwa dugong mengkonsumsi lamun sebagai makanan utamanya. Preferensi pakan dugong terhadap lamun bergantung pada ketersediaan jenis lamun di ekosistem tersebut.…”

Section: Pendahuluanunclassified

KERAGAMAN LAMUN SEBAGAI POTENSI PAKAN Dugong dugon DI TELUK LAMTENG, KABUPATEN ACEH BESAR

Octavina

Fazillah²,

Ulfah

et al. 2020

J. Ilmu dan Teknologi Kelautan Tropis

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Teluk Lamteng memiliki potensi ekosistem lamun yang sangat besar. Potensi lamun yang besar ini turut menyokong kelimpahan sumberdaya perikanan di daerah tersebut. Penelitian ini bertujuan untuk mengetahui keragaman lamun. Penelitian ini dilaksanakan pada bulan Desember 2018, dimana penentuan stasiun pengamatan menggunakan metode purposive sampling yaitu berdasarkan observasi mencakup area yang terdapat dermaga, baik dermaga kecil maupun dermaga besar. Analisis data yang digunakan yaitu persentase tutupan lamun (C), kerapatan jenis lamun (Di), keanekaragaman lamun (H’), serta indikator keberadaan dugong yaitu dengan melakukan survei feeding trail yang ditinggalkan oleh dugong dan menduga preferensi lamun yang menjadi favorit dugong sebagai makanannya. Hasil penelitian menunjukkan bahwa komposisi jenis lamun yang ditemukan di perairan Teluk Lamteng terdiri dari tiga spesies yaitu Cymodocea serrulata, Halodule pinifolia dan Halophila ovalis. Penutupan lamun tertinggi oleh spesies H. pinifolia adalah 67,84%, selanjutnya diikuti C. serrulata sebesar 44,79% dan paling rendah yaitu spesies H. ovalis dengan angka 2,21%. Secara keseluruhan stasiun, spesies H. pinifolia memiliki nilai kerapatan yang lebih tinggi dibandingkan dengan kedua spesies lamun lainnya, yaitu antara 55-316 ind/m2. Keanekaragaman lamun tergolong rendah dengan nilai berkisar antara 0-0,9. Ketiga spesies lamun yang ditemukan merupakan sumber pakan bagi D. dugon yang termasuk dalam kategori preferensi lamun kesukaannya.

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“…Maximum Entropy (MaxEnt) (Phillips et al, 2004b) is one of the methods that is widely used to predict the species distribution. MaxEnt has proven as a powerful modelling algorithm to predict the species distribution (Rebelo and Jones, 2010;Elith et al, 2011;Sardà-Palomera et al, 2012;Garcia et al, 2013;Marcer et al, 2013;Qin et al, 2017;Hashim et al, 2017).…”

Section: Seagrassmentioning

confidence: 99%

Seagrass Habitat Suitability Map at Merambong Shoal, Johor: A Preliminary Study Using Multibeam Echosounder and Maxent Modelling

Muhamad

Hasan

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In recent years, there has been an increasing interest to use high-resolution multibeam dataset and Species Distribution Modelling (SDM) for seagrass habitat suitability model. This requires a specific variable derived from multibeam data and in-situ seagrass occurrence samples. The purpose of this study was (1) to derive variables from multibeam bathymetry data to be used in seagrass habitat suitability model, (2) to produce seagrass habitat suitability model using Maximum Entropy (MaxEnt), and (3) to quantify the contribution of each variable for predicting seagrass habitat suitability map. The study area was located at Merambong Shoal, covering an area of 0.04 km2, situated along Johor Strait. First, twelve (12) variables were derived from bathymetry data collected from multibeam echosounder using Benthic Terrain Modeller (BTM) tool. Secondly, all variables and seagrass occurrence samples were integrated in MaxEnt to produce seagrass habitat suitability map. The results showed that the Area Under Curve (AUC) values based on training and test data were 0.88 and 0.65, respectively. The northwest region of survey area indicated higher habitat suitability of seagrass, while the southeast region of survey area indicated lower suitability. Bathymetry mean found to be the most contributed variables among others. The spatial distribution of seagrass from modelling technique agreed with the previous studies and they are found to be distributed at depths ranging from 2.2 to 3.4 meters whilst less suitable with increasing of water depth. This study concludes that seagrass habitat suitability map with high-resolution pixel size (0.5 meter) can be produced at Merambong Shoal using acoustic data from multibeam echosounder coupled with MaxEnt and underwater video observations.

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Using fisher knowledge, mapping population, habitat suitability and risk for the conservation of dugongs in Johor Straits of Malaysia

Cited by 30 publications

References 36 publications

Toward a Coordinated Global Observing System for Seagrasses and Marine Macroalgae

Toward a Coordinated Global Observing System for Seagrasses and Marine Macroalgae

KERAGAMAN LAMUN SEBAGAI POTENSI PAKAN Dugong dugon DI TELUK LAMTENG, KABUPATEN ACEH BESAR

Seagrass Habitat Suitability Map at Merambong Shoal, Johor: A Preliminary Study Using Multibeam Echosounder and Maxent Modelling

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