Pemetaan Potensi Perikanan Berbasis Indeks Kesehatan dan Resiliensi Terumbu Karang : Studi Kasus di Perairan Situbondo

Nugroho, Achmad Faried (2023) Pemetaan Potensi Perikanan Berbasis Indeks Kesehatan dan Resiliensi Terumbu Karang : Studi Kasus di Perairan Situbondo. Masters thesis, Institute Teknologi Sepuluh Nopember.

[thumbnail of 6005211001-Master_Thesis.pdf] Text
6005211001-Master_Thesis.pdf
Restricted to Repository staff only until 1 July 2025.

Download (2MB) | Request a copy

Abstract

Informasi spasial dan temporal sumberdaya perikanan dapat mengoptimalkan pengelolaan terumbu karang dan meningkatkan keuntungan secara ekonomis bagi pihak pengelola dan masyarakat sekitar perairan Pasir Putih Situbondo. Coral Health Index (CHI) merupakan metode penilaian kondisi kesehatan pada terumbu karang dan Resilience Index (RI) merupakan metode penilaian kemampuan terumbu karang dalam bertahan dan memulihkan keadaannya dari gangguan. Penilaian CHI dan RI mengacu pada kondisi tutupan biotik dan abiotik menggunakan metode Line Intercept Transect (LIT), sedangkan untuk sumberdaya ikan menggunakan metode Underwater Visual Censuss (UVC) dan metode penangkapan ikan menggunakan jaring ikan(gill-net). Hasil penelitian menunjukkan bahwa sebagian besar presentase tutupan biotik didominasi oleh karang keras hidup (LC), makroalga (MC) dan Invertebrata lain (OT), sedangkan tutupan abiotik didominasi oleh pasir (S) dan batu (RCK). Hasilnya, 79 spesies ikan karang telah teridentifikasi menggunakan metode UVC dengan biomassa ikan berkisar pada 1510,1kg/ha – 14248,23kg/ha dan 4 spesies ikan tangkapan nelayan teridentifikasi mengunakan metode penangkapan gill-net dengan nilai CPUe 2,2kg/trip. Berdasarkan analisi kesehatan dan resiliensi terumbu karang menunjukkan kondisi kesehatan terumbu karang (CHI) sangat baik (4,46) dan kondisi resiliensi (RI) cukup (0,51)I. Analisis korelasi menunjukkan bahwa tidak ada korelasi yang kuat (R=0,33) antara kondisi terumbu karang (presentase tutupan karang hidup) dengan sumberdaya perikanan berdasarkan kelimpahan dan biomassa ikan target.
===========================================================================================
Spatial and temporal information on fishery resources can optimize coral reef management and increase economic benefits for managers and communities around the coast of Pasir Putih Situbondo. The Coral Health Index (CHI) is an assessment method of the health condition of coral reefs, while the Resilience Index (RI) is an assessment method of the ability of coral reefs to survive and recover from disturbances. The assesment of CHI and RI refer to conditions of biotic and abiotic cover using the Line Intercept Transect (LIT) method, while for fishery resources using the Underwater Visual Census (UVC) method and fishing methods with gill nets. The results showed that the highest percentage of biotic cover was dominated by live hard corals (LC), macroalgae (MC) and other invertebrates (OT), while abiotic cover was dominated by sand (S) and rocks (RCK). As a result, 79 species of reef fish were identified using the UVC method with fish biomass ranging from 1510.1 kg/ha – 14248.23 kg/ha and 4 types of fish caught by fishermen were identified using the gill net method with a CPUe value of 2.2 kg/ trip. The analysis of the health and resilience of coral reefs, it shows that the condition of coral reef health (CHI) is very good (4.46) and the condition of resilience (RI) is sufficient (0.51) I. The correlation analysis shows that there is no strong correlation (R = 0 ,33) between the condition of coral reefs (percentage of live coral cover) and fishery resources based on the biomass and abundance of the target fish.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Coral reef, CHI, RI, biomass, fishery resource, biomass, Terumbu karang, CHI, RI, biomassa, sumberdaya perikanan.
Subjects: Q Science > QH Biology > QH75 Nature conservation. Landscape protection. Biodiversity conservation. Endangered species and ecosystems (General). Habitat conservation. Ecosystem management. Conservation biology
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Biology > 46101-(S2) Master Thesis
Depositing User: ACHMAD FARIED NUGROHO
Date Deposited: 08 Feb 2023 07:24
Last Modified: 08 Feb 2023 07:24
URI: http://repository.its.ac.id/id/eprint/96389

Actions (login required)

View Item View Item