Ecosystem-based adaptation to climate change impacts, such as shoreline retreat, has been promoted at the international, national, and even local levels. However, among scientists, opinions about how to implement it in spatial-planning practices are varied. Science-based environmental factors, human wellbeing, and sustainable development can be strengthened by developing spatial-planning-based ecosystem adaptations (SPBEAs). Therefore, this article aims to assess how the SPBEA model can be developed within an area prone to shoreline retreat. A coastal area of the Sayung subdistrict in Central Java, Indonesia, was selected as a study area because it has experienced a massive shoreline retreat. A multicriteria analysis (MCA) method was employed for developing the model by using the geographic information system (GIS) technique of analysis, divided into three steps: the fishpond zone determination, which involved the analytical hierarchy process (AHP) method in the process of model development; the fishpond site determination; SPBEA fishpond site development. The results show that the SPBEA model is the best practice solution for combatting shoreline retreat because of tidal waves and/or sea-level rise. The spatial site management should empower the coastal protection zone and the sustainable fishpond zone by implementing a silvofishery approach.

Land degradation (LD) is an important issue worldwide because it affects food production and people’s welfare. Many factors cause land degradation, but in humid tropical areas, erosion is the main factor. More than 100 countries including Indonesia are affected by LD. Watershed management should be prioritized owing to budget constraints, while on the other side, the area affected by LD is very large compared to the size of the existing land area. The middle Citarum sub-watershed (MCSW) is one of the most degraded drylands in Indonesia, where the environment can be considered a typical humid tropical watershed. The objective of this study was to map degraded lands and prioritize restoration using a combined approach of the universal soil loss equation (USLE), the analytical hierarchy process (AHP) and geographic information systems (GIS) in a multiple-criteria decision analysis (MCDA) environment. The severity of LD was estimated quantitatively by analyzing the parameters of land use and land cover, slope, soil erosion, productivity, and management. The results indicated that the MCSW is dominated by the potentially degraded land classes (38%), followed by the degraded land classes (21%). The prioritization of LD restoration is suggested in the area of very high and high degraded land. The method developed in this research work could be adopted as a tool to guide decision-makers toward sustainable land resource management in humid tropical watersheds affected by LD.

Pemahaman tentang keanekaragaman, dan asosiasi di dalamnya khususnya ikan karang sangat penting dalam rangka pengelolaannya secara berkelanjutan. Tujuan penelitian ini adalah mengkaji struktur komunitas dan kemiripan berdasarkan kelimpahan famili ikan karang dengan bentuk lifeform. Pengambilan data lifeform menggunakan metode Point Intercept Transect, dan pengambilan data ikan karang menggunakan metode Underwater Visual Census. Analisis Korespondensi digunakan untuk menggambarkan kemiripan kelimpahan famili ikan karang dan lifeform karang dengan bentuk profil terumbu. Hasil penelitian menunjukan bahwa total ikan karang yang dijumpai untuk ikan indikator dan ikan target sejumlah 3.666 ekor yang terdiri dari 130 spesies dari 26 famili, kelimpahan individu ikan target tertinggi secara berturut-turut Tanjung Tanah Merah, Tanjung Harlem, Pulau Kwahkeboh, Tanjung Sarebo, Amayepa, Tanjung Amay dan Tanjung Kuburan Tablasufa. Keanekaragaman (H’) relatif tinggi, yakni berkisar 2,66-3,63, Indeks Keseragaman (E)  cukup tinggi yakni berkisar 0,55-0,76 (→1), dan Indeks Dominansi (D) rendah yakni berkisar 0,03-0,08 (→0). Kelimpahan famili ikan  karang dan lifeform memiliki kemiripan pada bentuk profil terumbu.

<p>Budidaya rumput laut merupakan salah satu kegiatan di daerah pesisir yang berkembang sangat pesat.  Untuk mengetahui kondisi eksisting luasan budidaya rumput laut perlu dilakukan pemetaan sebaran budidaya rumput laut.  Pemetaan sebaran budidaya rumput laut akan lebih cepat dengan menggunakan teknologi penginderaan jauh.  Tujuan dari penelitian adalah untuk membandingkan citra SPOT-6 dan Landsat 8 OLI dalam memetakan sebaran budidaya rumput laut dan untuk mengestimasi luasan eksisting budidaya rumput laut.  Proses analisis menggunakan dua metode yaitu interpretasi visual untuk SPOT-6 pansharpened dan analisis digital nilai spektral untuk Landsat 8 OLI.  Sebagai studi kasus digunakan wilayah pesisir Kabupaten Takalar.  Hasil interpretasi visual citra SPOT-6 pansharpened perekaman Maret 2013 menunjukan luasan budidaya rumput laut sebesar 800,6 hektar.  Analisis Landsat 8 perekaman Maret 2014 menggunakan band 2,3 dan 4 luasan budidaya 2.273,6 hektar dengan nilai Kappa 0,64.  Analisis Landsat 8 perekaman tahun 2016 luasan musim barat 2.451 hektar, musim peralihan ke-1 2.017,11 hektar, musim timur 637,9 hektar, dan musim peralihan ke-2 seluas 1.169,2 hektar.  Nilai akurasi keseluruhan Landsat 8 perekaman tahun 2016 lebih dari 85% yang menunjukan citra ini dapat mengestimasi luasan eksisting budidaya rumput laut.</p>

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