Changes in climate and land use land cover (LULC) are important factors that affect water yield (WY). This study explores which factors have more significant impact on changes in WY, spatially and temporally, within the Citarum River Basin Unit (RBU), West Java Province, Indonesia with an area of ±11.317 km2. The climate in the area of Citarum RBU belongs to the Am climate type, which is characterized by the presence of one or more dry months. The objectives of the study were: (1) To estimate a water yield model using integrated valuation of ecosystem services and tradeoffs (InVEST), and (2) to test the sensitivity of water yield (WY) to changes in climate variables (rainfall and evapotranspiration) and in LULC. The integration of remote sensing (RS), geographic information system (GIS), and the integrated valuation of ecosystem services and tradeoffs (InVEST) approach were used in this study. InVEST is a suite of models used to map and value the goods and services from nature that sustain and fulfill human life. The parameters used for determining the WY are LULC, precipitation, average annual potential evapotranspiration, soil depth, and plant available water content (PAWC). The results showed that the WY within the territory of Citarum RBU was 12.17 billion m3/year, with mean WY (MWY) of 935.26 mm/year. The results also show that the magnitude of MWY in Citarum RBU is lower than the results obtained in Lake Rawa Pening Catchment Areas, Semarang Regency and Salatiga City, Central Java (1.137 mm/year) and in the Patuha Mountain region, Bandung Regency, West Java (2.163 mm/year), which have the same climatic conditions. The WY volume decreased from 2006, to 2012, and 2018. Based on the results of the simulation, climatic parameters played a major role affecting WY compared to changes in LULC in the Citarum RBU. This model also shows that the effect of changes in rainfall (14.06–27.53%) is more dominant followed by the effect of evapotranspiration (10.97–23.86%) and LULC (10.29–12.96%). The InVEST model is very effective and robust for estimating WY in Citarum RBU, which was indicated by high coefficient of determination (R2) 0.9942 and the RSME value of 0.70.
Abstract. Yuliana E, Hewindati YT, Winata A, Djatmiko WA, Rahadiati A. 2019. Diversity and characteristics of mangrove vegetation in Pulau Rimau Protection Forest, Banyuasin District, South Sumatra, Indonesia. Biodiversitas 20: 1215-1221. The purpose of the study was to analyze the flora diversity and characteristics of mangrove vegetation in Pulau Rimau Protection Forest, Banyuasin District, South Sumatra. Data collected were the number and girth diameter of mangrove tree species, and aquatic ecology parameters using transect method. The sample plots size were 2m×2 m; 5m×5 m; 10m×10 m; for seedling, sapling, and tree, respectively. The observation plots were arranged in a row of 120 m length on two sides of the forest edge, namely Calik Riverbank and Banyuasin Riverbank. Data were analyzed using importance value index (IVI), Simpson’s diversity index and Sørensen’s community similarity. The study revealed that there were differences in mangrove characteristics in two study sites. There were 57 plant species identified inside and outside sample plots, but only 15 species (26.32%) among them were categorized as true mangrove species. Inside the sample plots, there were 11 and 10 mangrove tree species recorded on the Calik Riverbank and Banyuasin Riverbank, respectively, but only 7 species among them were found in both sites. The mangroves on Calik Riverbank were dominated by Nypa (IVI 53.59%) and Bruguiera (51.12%), while those on Banyuasin Riverbank were dominated by Sonneratia (66.91%) and Avicennia (51.73%). The Simpson’s diversity index for Calik Riverbank and Banyuasin Riverbank was 0.82 and 0.78, respectively, whereas the Sørensen’s coefficient of community between the two sites was 0.67.
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.
Pemanfaatan sumber daya di wilayah pesisir mencakup konteks sosial multiple use, berbagai bentuk kepemilikan, dan konflik atas penggunaan sumber daya. Sistem ekologi di daerah pesisir sangat berhubungan erat dengan/dan dipengaruhi oleh satu atau lebih sistem sosial. Pendekatan kontemporer pengelolaan pesisir dan lautan berbasis sosial - ekologi pada dasarnya adalah integrasi antara pemahaman ekologi (ecological understanding) dan nilai – nilai sosial ekonomi (socio-economic value). Analisis sistem ekologi-sosial (SES) dalam pengelolaan wilayah pesisir terpadu mampu memberikan suatu pendekatan yang interdisipliner dan framework pengelolaan sumber daya yang berkelanjutan. Analisis SES dapat menjadi basis pengetahuan untuk mengatasi secara sistematis masalah yang kompleks dalam pengelolaan pesisir secara terpadu, selain itu juga dapat mengembangkan suatu strategi berbasis pengetahuan dalam memahami proses-proses ekologi dan sosial pada dimensi sistem dan skala yang berbeda.Title: Social – Ecological System (SES) Approach In Integrated Coastal ManagementUtilization of resources in coastal areas includes multiple use social contexts, various forms of ownership, and conflicts of interest. The purpose of this paper is to learn about the Social-Ecological System approach in integrated coastal management. Ecological systems in coastal areas have a very close relationship with / and are influenced by the social system. Basically the contemporary approach of coastal management based on social-ecology system (SES) is the integration between ecological understanding and socio-economic value. SES analysis in integrated coastal area management is able to provide an interdisciplinary approach and a sustainable resource management framework. SES analysis can be a knowledge base for dealing systematically with complex problems in integrated coastal management, while also developing a knowledge-based strategy in understanding ecological and social processes in different dimensions of the system and scale.
<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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