scholarly journals Isolation and amplification of mangrove plants using DNA barcode in Percut Sei Tuan, North Sumatra, Indonesia

2021 ◽  
Vol 912 (1) ◽  
pp. 012028
Author(s):  
R Syahbana ◽  
M Basyuni ◽  
L A M Siregar
Keyword(s):  
Dna Isolation ◽  
Dna Barcode ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Nypa Fruticans ◽  
Rhizophora Apiculata ◽  
Living Things ◽  
Acanthus Ilicifolius ◽  
Avicennia Alba ◽  
North Sumatra

Abstract Mangroves are a collection of several species of trees or shrubs that distribute around the coastline and can survive in high salinity environments. Around 60% of mangrove forests in North Sumatra are reported to have been damaged, the main factors of this damage being the mangrove forests conversion into ponds and the expansion of oil palm plantations. Identification of mangrove species is very important in protecting and applying the biodiversity of mangrove forests. Identification of living things has evolved from morphological charcetrization to molecular identification. This study aims to explain the DNA isolation and PCR methods to identify mangrove species in North Sumatra. The results suggested that the rbcL primer used can detect mangrove species that were visualized in the form of DNA bands. The length of DNA fragments of mangrove species Acrosticum aureum ranged 632.0-619.6 bp, species Rhizophora apiculata 619.6-585.8 bp, species Nypa fruticans 600- 592.9 bp, species Avicennia alba 549.1-533.5 bp, species Hibiscus tiliaceus was not detected, and mangrove species Acanthus ilicifolius 480.3 bp.

scholarly journals Distribusi Scylla spp. di perairan estuari Sungai Donan Segara Anakan Bagian Timur, Cilacap

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Sulistiono Sulistiono ◽  
Nurul Musyariafah Yahya ◽  
Etty Riani
Keyword(s):  
Economic Value ◽  
Scylla Serrata ◽  
Mangrove Forests ◽  
Mud Crab ◽  
Mangrove Species ◽  
Central Java ◽  
Rhizophora Apiculata ◽  
Mangrove Ecosystems ◽  
Avicennia Alba ◽  
Mangrove Crabs

Mangrove forests are ecosystems that make up coastal areas and river estuaries. The examples of mangrove ecosystems found in Indonesia are in Segara Anakan, Central Java. One of the aquatic biota with the economic value found in the mangrove forest ecosystem is the mud crab (Scylla spp.). The purpose of this study was to assess the distribution of mangrove crabs (Scylla spp.) to the presence of mangrove species in the mouth of the Donan River, Segara Anakan. A sampling of crabs and observations of mangrove vegetation were carried out at five stations spread from the river to the sea. The results showed that there were three types of mangrove crabs caught in the vicinity of the study, namely Scylla tranquebarica, S. olivacea, and S. serrata. The types of mangroves found include Rhizophora apiculata, R. mucronata, Avicennia rumphiana, A. alba, A. officinalis, and Nypa. Regression analysis showed that mangrove density correlated with the abundance of Scylla tranquebarica and Scylla olivacea, but contradicts the abundance of Scylla serrate. PCA analysis showed that the Crab species Scylla tranquebarica and Scylla olivacea were associated with mangroves of Avicennia alba, Avicennia rumphiana, and Rhizophora apiculata. Meanwhile, Scylla serrata crabs are associated with Avicennia officinalis.

scholarly journals COLONIZATION OF MANGROVE FOREST AT ABANDONED SHRIMP-POND OF SEGARA ANAKAN-CILACAP

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Tjut Sugandawaty Djohan
Keyword(s):  
Mangrove Forest ◽  
Mangrove Ecosystem ◽  
Mangrove Forests ◽  
Shrimp Ponds ◽  
Shrimp Pond ◽  
Mangrove Tree ◽  
Rhizophora Apiculata ◽  
Acanthus Ilicifolius ◽  
Avicennia Alba ◽  
Mangrove Trees

During the 1996 to 1997, large areas of mangrove forest in the Segara Anakan were cleared and converted into intensive shrimp-ponds. After one to two years, these shrimp-ponds failed and were abandoned. These abandoned ponds created large gap areas and canopy gaps, which were colonized by mangrove shrub and liana. The Segara Anakan mangrove also experienced heavy siltation, and there were tree cuttings from the remnant of the mangrove trees. This research aimed to study the colonization of mangrove vegetation at the abandoned-shrimp pond. Vegetation data were collected using rectangular plots of 25 m x 25 m with 4 replicates. The water qualities were also studied. The results revealed that the mangrove forests were composed of two layers: canopy tree and floor-vegetation. The gap areas triggered the pioneer species of mangrove shrubs and liana, Acanthus ilicifolius and Derris heterophylla, to colonize and dominate 100% of the mangrove forest floor. The mangrove trees consisted of natural and planted tree species. The natural trees were Sonneratia alba, Avicennia alba, and saplings of Aegiceras corniculatum, which  varied between 56 – 136, 4, and 4 individuals per ha, respectively. The planted trees were Rhizophora apiculata, which amounted to 4 – 12 individuals per ha, at the island of the ponds. These trees and saplings were entangled by the liana mangrove, which disturbed their growth. The A. ilicifolius and D. heterophylla prevented the mangrove tree propagules to grow, and they colonized and characterized those abandoned shrimp-ponds, which threatened the Segara Anakan mangrove ecosystem. 

scholarly journals MANGROVE FOREST EFFECT ON THE COASTLINE IN RANGSANG ISLAND RIAU PROVINCE

2020 ◽  
Vol 3 (1) ◽  
pp. 29-37
Author(s):  
Paulinus ◽  
Mubarak Mubarak ◽  
Efriyeldi Efriyeldi
Keyword(s):  
Image Data ◽  
Landsat Image ◽  
Sampling Location ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Xylocarpus Granatum ◽  
Avicennia Alba

The study was conducted in May-June 2019 on Rangsang Island. This study aims to determine the effect of mangrove forests on coastline found on the island of Rangsang in Riau Province. The sampling location was determined by purposive sampling, namely 3 station points, namely Segomeng Village, Tanjung Kedabu Village, and Sungai Gayung Kiri Village. Landsat image data analyzed at the Oceanographic Physics Laboratory of the Department of Marine Sciences, Faculty of Fisheries and Maritime Affairs, University of Riau. To find out the area of ​​mangroves using Landsad 5 TM satellite imagery and Landsat 8 OLI Tirs imagery and analyzed using Er Mapper Software, Envi 4.5 and Arcgis 10.3. Calculation of the structure of the mangrove community is carried out using the line plot plot method. The results of the analysis of the vast landsat image of mangroves in the coastal areas of Rangsang Island in 1997, 2002, 2007, 2013, 2019 were respectively 11,093 ha, 10,807 ha, 10,393 ha, 10,121 ha and 9,971 ha. Changes in the coastline indicate the occurrence of abrasion and accretion, where the highest abrasion occurs at station three with an average of -7.6 m/year and accretion occurs at station one with an average of 2.68 m / year. Mangrove density at station one is 2266.7 ind / ha and at station two that is 1466.7 ind / ha. Mangrove species found were Rhizophora apiculata, Rhizophora mucronata, Avicennia alba, Sonneratia ovata, Bruguiera gymnorrhiza, and Xylocarpus granatum.

ECOLOGICAL INDICATOR AGENTS FOR INORGANIC CONTAMINANTS STATE MONITORING THROUGH SONNERATIA ALBA, AVICENNIA ALBA AND RHIZOPHORA APICULATA

2015 ◽  
Vol 77 (30) ◽  
Author(s):  
Rashidi Othman ◽  
Razanah Ramya ◽  
Zainul Mukrim Baharuddin ◽  
Khairusy Syakirin Has-Yun Hashim ◽  
Maheran Yaman
Keyword(s):  
Heavy Metals ◽  
Ecological Indicator ◽  
Plant Tissues ◽  
Mangrove Forests ◽  
Inorganic Contaminants ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Leaf Tissues ◽  
Avicennia Alba

Mangrove forest ecosystems are threatened by direct impacts such as cutting and pollution due to agricultural, industrialization and urbanization activities. Mangrove forests are often regarded as unpleasant environments with little intrinsic value.  Mangrove forests perform valued regional and site-specific functions. Mangrove species can take up excessive nutrients and also play a crucial role in creating a favourable environment for a variety of chemical, biological and physical processes that contribute to the inorganic removal and degradation of organic compounds. Among the many mangrove species, Sonneratia alba, Avicennia alba and Rhizophora apiculata have been studied for biomonitoring of toxic heavy metals elements (Fe, Cu, Zn, Pb and Mn) in a wide range of plant tissues (roots and leaves) and sediment composition at  three different locations in Negeri Sembilan, west coast of Malaysia. The results established that there were significant differences between the three mangrove species, locations, plant tissues and sediment samples and their interaction for all the five heavy metals content. The findings revealed that leaf tissues for all species accumulated mostly Fe, Zn, Pb and Cu. Interestingly we noticed that different localities will accumulate different type of heavy metals, for instance R. apiculata leaf tissues were detected with higher concentration of Cu and Pb at Kampung Sungai Sekawang whereas in another two sites were detected with Cu, Fe, Zn and Pb. S. alba indicated that the most heavy metals highly accumulated was Zn followed by Pb and Cu at Pasir Panjang. In this study A. alba showed Zn was highly accumulated in leaf tissues at Pasir Panjang. Thus, those three mangrove species appear to have the greatest potential for use as an effective ecological indicator tools as green application for inorganic contaminants monitoring in mangrove ecosystems.

scholarly journals Karakteristik Mangrove Di Muara Sungai Timur Kawasan Laguna Segara Anakan, Kabupaten Cilacap Jawa Tengah

2020 ◽  
Vol 9 (4) ◽  
pp. 416-422
Author(s):  
Raditya Rizki Ananta ◽  
Nirwani Soenardjo ◽  
Rini Pramesti
Keyword(s):  
Community Structure ◽  
Avicennia Marina ◽  
Hemispherical Photography ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Nypa Fruticans ◽  
Sonneratia Caseolaris ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Avicennia Alba

ABSTRAK: Ekosistem mangrove adalah komunitas tumbuhan tropis yang berada di daerah tepi pantai yang memiliki kemampuan adaptasi pada perairan asin di wilayah intertidal yang dipengaruhi oleh pasang surut air laut. Struktur komunitas mangrove merupakan salah satu parameter dalam menentukan kondisi mangrove. Kawasan ekosistem mangrove yang memiliki karakteristik dinamis komposisi jenis mangrove terdapat di Segara Anakan. Akan tetapi memiliki penurunan luasan hutan mangrove. Hal ini adanya beragam faktor kondisi lingkungan di Segara Anakan, sehingga menyebabkan variabilitas mangrove wilayah Segara Anakan berbeda. Namun kondisi terkini belum banyak dilakukan dalam suatu penelitian sehingga dibutuhkan informasi ilmiah terkini untuk mengetahui komposisi jenis mangrove. Untuk mengatasi hal tersebut maka dilakukan penelitian struktur komunitas untuk mengetahui kondisi ekologi mangrove di Segara Anakan. Tujuan penelitian ini adalah menggambarkan kondisi struktur komunitas mangrove di muara timur Segara Anakan. Lokasi penelitian berada di muara sungai bagian Timur (Sungai Donan). Metode yang digunakan dalam penelitian ini adalah metode deskriptif. Penentuan titik pengambilan data atau sampel di setiap lokasi dilakukan dengan teknik purposive sampling. Selain itu, digunakan teknik transek kuadrat 10x10 m dan Hemispherical Photography. Hasil penelitian menunjukkan kerapatan pohon sebesar 90,6 /ha. Kerapatan sapling rata-rata bernilai 1023 /ha. Kerapatan seedling bernilai 1746 /ha di Muara Timur. Tutupan kanopi komunitas mangrove memiliki persentase kurang dari 75%. Tinggi dan diameter pohon didapatkan sebesar 5,97 m dan 3,1 cm. Spesies mangrove yang ditemukan di dalam plot berjumlah 10 spesies mangrove yaitu Rhizophora apiculata, Bruguiera gymnorrhiza, Aegiceras corniculatum, Avicennia marina, Avicennia alba, Ceriops tagal, Ceriops decandra, Sonneratia caseolaris, Sonneratia alba, Scyphiphora hydrophyllacea, Xylocarpus moluccensis, Xylocarpus granatum, Talipariti tiliaceum, dan Nypa fruticans. ABSTRACT: Mangrove ecosystems are communities of tropical plants located on the coast that have the ability to adapt to salty waters in intertidal areas which are affected by tides. Mangrove community structure is one of the parameters in determining mangrove condition. Mangrove ecosystem areas that have dynamic characteristics of mangrove species composition are found in Segara Anakan. However, it has decreased the area of mangrove forests. This is because of various environmental conditions in Segara Anakan, causing variability of mangroves in the Segara Anakan area to be different. However, recent conditions have not been carried out in many studies, so the latest scientific information is needed to determine the species composition of mangroves. To overcome this, a community structure research was conducted to determine the ecological conditions of mangroves in Segara Anakan. The purpose of this study was to describe the condition of the mangrove community structure in the eastern estuary of Segara Anakan. The research location is in the mouth of the eastern river (Donan River). The method used in this research is descriptive method. Determination of data collection points or samples at each location was done by using purposive sampling technique. In addition, the 10x10 m quadratic transect technique and Hemispherical Photography were used. The results showed the tree density was 90.6 ind/ha. Saplingaveraged 1023 ind/ha. The density seedling is 1746 ind/ha in Muara Timur. The canopy cover of the mangrove community has a percentage of less than 75%. The tree height and diameter were 5.97 m and 3.1 cm respectively. There are 10 mangrove species found in the plot, namely Rhizophora apiculata, Bruguiera gymnorrhiza, Aegiceras corniculatum, Avicennia marina, Avicennia alba, Ceriops tagal, Ceriops decandra, Sonneratia caseolaris, Sonneratia alba, Scyphiphora hydrophyllacea, Xylocarpus moluccensis, Xylocarpus granatum, Talipariti tiliaceum, and Nypa fruticans.   

scholarly journals Diversity of mangrove species associated with zonation in Lubuk Kertang Village and Pulau Sembilan, North Sumatra

2021 ◽  
Vol 912 (1) ◽  
pp. 012007
Author(s):  
M K Nawar ◽  
M Basyuni ◽  
C Hanum
Keyword(s):  
Pongamia Pinnata ◽  
Morinda Citrifolia ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Fresh Waters ◽  
Terminalia Catappa ◽  
Nypa Fruticans ◽  
North Sumatra ◽  
Lumnitzera Racemosa

Abstract The Research about the diversity of mangrove species associated with zonation in Lubuk Kertang Village and Pulau Sembilan, Langkat Regency, North Sumatera was conducted in March – April 2021. This study aims to determine the diversity of mangrove species based on zoning observations in Lubuk Kertang Village and Pulau Sembilan. The research was conducted using the exploration method. The observation zone for the diversity of mangrove species is divided into three zones, namely zone 1 in brackish or almost fresh waters behind the actual green mangroves, zone 2 along the river, brackish to almost fresh, and zone 3 on the part facing the sea. The results of the study were fifteen mangrove species with two different mangrove groups, namely four true mangrove species (Lumnitzera racemosa, L. littorea, Nypa fruticans, and Scyphyphora hydrophyllacea) and eleven associated mangrove species (A. auriculiformis, Barringtonia asiatica, Casuarina equestifolia, Hibiscus tiliaceus, Melastoma candidum, Morinda citrifolia, Pandanus odoratatissima, Pongamia. Pinnata, Sesuvium portulcastrum, Stachytarpheta jamaicensis, and Terminalia catappa). Furthermore, the observations in zone 1 were dominated by mangrove association groups, namely A. auriculiformis, B. asiatica, C. equestifolia, H. tiliaceus, M. candidum, M. citrifolia, P. odoratatissima, P. pinnata, S. portulcastrum, S. jamaicensis, and T. catappa, in zone 2, namely L. littorea and L. racemosa and in zone 3, namely N. fruticans and S. hydrophyllacea, zones 2 and 3 are dominated by true mangrove groups. This shows that data on the diversity of mangrove species is very necessary to preserve mangrove species in Lubuk Kertang Village and Pulau Sembilan and the growing zone of mangrove species is natural zoning of mangrove forests.

scholarly journals Vegetation Structure And Carbon Stock In The Mangrove Community Of Payumb Coast, Merauke Regency, Papua

2018 ◽  
Vol 73 ◽  
pp. 08012
Author(s):  
Sianturi Reny ◽  
N. Choesin Devi
Keyword(s):  
Vegetation Structure ◽  
Carbon Stock ◽  
Community Level ◽  
Total Carbon ◽  
Mangrove Forests ◽  
Importance Value ◽  
Mangrove Species ◽  
Species Dominance ◽  
Rhizophora Apiculata ◽  
Avicennia Alba

Mangrove forests in Indonesia play an important role in mitigating climate changes and providing other ecosystem services; however, their extent continues to decline. Information on mangrove community and its carbon stock, especially for Papua, is still limited. This study was conducted to describe vegetation structure and estimate carbon stock in Payumb Coast in Merauke District, Papua. There were three primary mangrove species identified, namely, Avicennia alba, Rhizophora apiculata and Sonneratia alba. Species dominance varied along a gradient of salinity and substrate perpendicular to the shoreline. A. alba is dominant in the closest zone to the shoreline (importance value 205.76%), while R. apiculata is dominant in the farthest zone (importance value 185,35). At the community level, the carbon stock in trees differed significantly between zones (p<0.05), with the highest in the zone dominated by R. apiculata. This study has provided preliminary data on carbon stock estimation at the community level; further studies should be conducted to estimate total carbon stock based on all above- and belowground components. More accurate estimations become important, as it was found that different species could contain significantly different carbon stock; thus producing variation among mangrove communities.

scholarly journals KEANEKARAGAMAN JENIS MANGROVE DI DESA MENDALOK KECAMATAN SUNGAI KUNYIT KABUPATEN MEMPAWAH

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Syahrul Muharamsyah ◽  
M Sofwan Anwari ◽  
Hafiz Ardian
Keyword(s):  
Mangrove Forest ◽  
Avicennia Marina ◽  
Raw Material ◽  
Mangrove Forests ◽  
Bruguiera Gymnorrhiza ◽  
Mangrove Species ◽  
Rhizophora Stylosa ◽  
Sonneratia Caseolaris ◽  
Rhizophora Apiculata ◽  
Bruguiera Cylindrica

Mangrove forests are unique ecosystems that have ecological, biological and socio-economic functions. The function of mangrove forests on the environment is very important especially in the coastal and oceanic regions. Mangrove forests providers of wood, leaves as raw material for medicines, and natural dye. This study aims to inventory the diversity of species of mangrove vegetation in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. The benefits of this study are to provide the data on mangrove forest vegetation as basic data for local government and related agencies in efforts to protect and preserve mangrove forests in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. Inventory the tree in mangrove forest used a line with measured 200 meters. There are 6 lines and the distance between the lines as far as 100 meters. The lines of observation are placed by purposive sampling. The results of research found 11 types of species and consisted of 6 genera. The genera are Avicennia, Bruguiera, Ceriops, Rhizophora, Soneratia and Xylocarpus. The species found were Avicennia alba, Avicennia marina, Bruguiera cylindrica, Bruguiera gymnorrhiza, Bruguiera parviflora, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia caseolaris, Xylocarpus mollucensis. Diversity of mangrove species in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency was high and should be maintained for conservation and ecotourism area. Keywords : conservation, ecotourism, mangrove, Mendalok Village

scholarly journals MACHINE LEARNING-BASED MANGROVE LAND CLASSIFICATION ON WORLDVIEW-2 SATELLITE IMAGE IN NUSA LEMBONGAN ISLAND

2018 ◽  
Vol 14 (2) ◽  
pp. 159 ◽  
Author(s):  
Aulia Ilham ◽  
Marza Ihsan Marzuki
Keyword(s):  
Machine Learning ◽  
Satellite Image ◽  
Image Data ◽  
Information Criterion ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Distribution Type ◽  
Non Linear System ◽  
Image Data Classification

Machine learning is an empirical approach for regressions, clustering and/or classifying (supervised or unsupervised) on a non-linear system. This method is mainly used to analyze a complex system for  wide data observation. In remote sensing, machine learning method could be  used for image data classification with software tools independence. This research aims to classify the distribution, type, and area of mangroves using Akaike Information Criterion approach for case study in Nusa Lembongan Island. This study is important because mangrove forests have an important role ecologically, economically, and socially. For example is as a green belt for protection of coastline from storm and tsunami wave. Using satellite images Worldview-2 with data resolution of 0.46 meters, this method could identify automatically land class, sea class/water, and mangroves class. Three types of mangrove have been identified namely: Rhizophora apiculata, Sonnetaria alba, and other mangrove species. The result showed that the accuracy of classification was about 68.32%.

scholarly journals Potential Regeneration of Mangrove Coastal of Payum Beach Merauke District

2019 ◽  
pp. 11-23
Author(s):  
Stenly M.B.S Wairara ◽  
Reny Sianturi
Keyword(s):  
Tree Level ◽  
Sampling Location ◽  
Mangrove Species ◽  
Transect Line ◽  
Rhizophora Apiculata ◽  
Sonneratia Alba ◽  
Avicennia Alba ◽  
Data Collection Technique ◽  
Aegialitis Annulata ◽  
Important Value Index

The purpose of this study was to analyze the regeneration potential of mangroves found on the coast of Payum, Merauke Regency, Papua Province. This research was conducted in August-October 2018. The data collection technique was purposive sampling using Transect Line Plots. The sampling location was chosen based on the representation of the presence of mangroves in three locations, namely zones A, B and C. The results of this study explained that there were three tree-level mangrove species, namely Avicennia alba, Rhizophora apiculata and Sonneratia alba. Type A. alba dominates in zone A with an important value index (INP) of 205.76%, zone B does not have a certain type that dominates, while Rhizophora apiculata dominates in zone C with INP 185.35%. The potential of the three mangrove species in zones A, B and C is good. Aegialitis annulata species are only found in sapling and seedling levels. In zones A and B are classified as new while in zone C is classified as bad. This study concluded that Avicennia alba, Rhizophora apiculata and Sonneratia alba had the potential to regenerate in all three locations (Zones A, B and C) compared to Aegialitis annulata.

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