scholarly journals Cytotoxic metabolites from the leaves of the mangrove Rhizophora apiculata

2022 ◽  
Vol 47 ◽  
pp. 51-55
Author(s):  
Nguyen Phuong Thao ◽  
Kieu Thi Phuong Linh ◽  
Nguyen Huu Quan ◽  
Vu Thanh Trung ◽  
Pham Thanh Binh ◽  
...  
Keyword(s):  
Rhizophora Apiculata

STRUKTUR DAN FISIOGNOMI VEGETASI MANGROVE DI REMPANG CATE KOTA BATAM

SIMBIOSA ◽  
2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Yarsi Efendi ◽  
Dahrul Aman Harahap
Keyword(s):  
Data Collection ◽  
Coastal Area ◽  
Growth Zone ◽  
Mangrove Area ◽  
Rhizophora Apiculata ◽  
The Difference ◽  
Mangrove Zonation ◽  
Vertical Transect ◽  
Zone Growth ◽  
Vegetation Physiognomy

Structure and physiognomy of mangrove strongly influenced by the zonation that occurred in the area of mangroves growth. The differences of zona growth will effect  to differences in the structure and composition of vegetation. There are three zones in the mangrove area, which is caused by the difference of flooding which also resulted in the difference to the salinity. The differences of growth zone will performed to the type vegetation performance (Physiognomy). This study is aims to prove the mangrove’s physiognomy that taken in the coastal area of Rempang Cate  Batam, on March 2014 to June 2014. This study was a survey with data collection using a vertical transect plots 100 m. Based on the research that has been done obtained difference vegetation physiognomy stands for every level of growth in each zone growth. Proximally found 13 species of mangroves in 8 families. The results of the analysis of the vegetation on the trees growth level are, Ceriops decandra have the greatest significance important value 167.55% on sapling (juvenille ) level is dominated by Rhizophora apiculata 120%, and seedling growth level dominated by Rhizophora apiculata  186.80%. Keywords: Structure and physiognomy, mangrove zonation

KAJIAN NILAI EKONOMIS DAN DAMPAK SOSIAL KEBERADAAN EKOSISTEM MANGROVE TERHADAP MASYARAKAT PESISIR

2020 ◽  
Vol 11 (1) ◽  
pp. 1-10
Author(s):  
Agus Putra A. Samad ◽  
Pitri Agustina ◽  
Mus Herri
Keyword(s):  
Avicennia Marina ◽  
Rhizophora Mucronata ◽  
Bruguiera Gymnorrhiza ◽  
Sonneratia Caseolaris ◽  
Rhizophora Apiculata ◽  
Xylocarpus Granatum ◽  
Bruguiera Parviflora

Langsa merupakan salah satu kota pesisir Aceh yang memiliki kawasan mangrove yang  sangat  potensial.  Kota  ini  memiliki  panjang  garis  pantai  16  km dengan luas kawasan mangrove sebesar 7.837 Ha. Keberadaan mangrove di wilayah ini menjadi aset strategis untuk dikembangkan menjadi basis kegiatan ekonomi untuk memakmurkan masyarakat dan meningkatkan pendapatan  asli  daerah. Tujuan utama penelitian ini adalah untuk melestarikan potensi sumberdaya ekosistem mangrove yang ada di Kota Langsa agar dapat memberikan fungsi ekologis dan ekonomis secara berkesinambungan kepada masyarakat disekitarnya. Kajian ini dilakukan menggunakan metode survei, analisa laboratorium dan observasi lapangan. Hasil pengamatan terhadap komposisi jenis tumbuhan yang terdapat di ekosistem mangrove menunjukkan 8 jenis tumbuhan mangrove yaitu: jenis Avicennia lanata, Avicennia marina, Bruguiera gymnorrhiza, Bruguiera parviflora, Rhizophora apiculata, Rhizophora  mucronata, Sonneratia Caseolaris dan Xylocarpus granatum. Nilai rata-rata parameter kualitas air di ekosistem mangrove secara beturut-turut adalah DO (6.3 ppm),salinitas (27 ‰), pH tanah dasar (6.0), pH tanah permukaan (5.08), pH air (7.33), suhu (30 oC) dan kecerahan (5 m).  Perhitungan terhadap nilai manfaat ekosistem mangrove meliputi: 1) Nilai manfaat langsung perikanan tangkap: Rp. 8.710.000.000 per tahun, 2) Nilai manfaat budidaya tambak: Rp. 93.940.000.000,- per tahun, 3) Nilai penahan abrasi dan banjir: Rp. 300.000.000,- per hektar per tahun, 4) Nilai sebagai penyediaan unsur hara: Rp. 28.634.000,- per tahun, 5) Nilai manfaat pilihan: Rp. 210.000.000,- per tahun dan 6) Nilai manfaat keberadaan: Rp. 1.464.493.000,- per tahun.  Nilai keberadaan ekosistem mangrove yang dinilai adalah Nilai Keaslian = 70 % (lebih dari asli), Nilai Keindahan Alam = 74 % (lebih dari indah), Nilai Kenyamanan = 66% (kondisi lebih dari nyaman),  dan Nilai Aspirasi masyarakat = 98 % (sangat didukung masyarakat). Alternatif  pengelolaan  dan  pemanfaatan  ekosistem  mangrove  yang diperkirakan cocok secara ekonomi dan ekologis terdiri dari beberapa kegiatan pilihan yaitu budidaya ikan, udang, tiram dan kepiting, budidaya ikan kerapu dan kakap, pengolahan buah dan daun mangrove, dan pengembangan obyek wisata.

scholarly journals Isolation and Expression Analysis of Novel Silicon Absorption Gene from Roots of Mangrove(Rhizophora apiculata) viaSuppression Subtractive Hybridization

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Mahbod Sahebi ◽  
Mohamed M. Hanafi ◽  
Siti Nor Akmar Abdullah ◽  
Mohd Y. Rafii ◽  
Parisa Azizi ◽  
...  
Keyword(s):  
Essential Element ◽  
Subtractive Hybridization ◽  
Hybridization Technique ◽  
Plant Tolerance ◽  
Rt Pcr ◽  
Abiotic And Biotic Stresses ◽  
Biotic Stresses ◽  
Mangrove Plants ◽  
Rhizophora Apiculata ◽  
Abundant Element

Silicon (Si) is the second most abundant element in soil after oxygen. It is not an essential element for plant growth and formation but plays an important role in increasing plant tolerance towards different kinds of abiotic and biotic stresses. The molecular mechanism of Si absorption and accumulation may differ between plants, such as monocotyledons and dicotyledons. Silicon absorption and accumulation in mangrove plants are affected indirectly by some proteins rich in serine and proline amino acids. The expression level of the genes responsible for Si absorption varies in different parts of plants. In this study, Si is mainly observed in the epidermal roots’ cell walls of mangrove plants compared to other parts. The present work was carried out to discover further information on Si stress responsive genes inRhizophora apiculata, using the suppression subtractive hybridization technique. To construct the cDNA library, two-month-old seedlings were exposed to 0.5, 1, and 1.5 mM SiO2for 15 hrs and for 1 to 6 days resulting in a total of 360 high quality ESTs gained. Further examination by RT-PCR and real-time qRT-PCR showed the expression of a candidate gene ofserine-rich protein.

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 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 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 Fenologi Mangrove (Rhizophora apiculata, R. mucronata dan R.stylosa) di Pulau Unggas, Air Bangis Pasaman Barat, Sumatera Barat

2012 ◽  
Vol 14 (1) ◽  
pp. 90
Author(s):  
Eni Kamal
Keyword(s):  
Data Collection ◽  
Tropical Forest ◽  
Analysis Method ◽  
Mangrove Plants ◽  
Rhizophora Apiculata ◽  
Fruit Maturity ◽  
Post Hoc ◽  
Range Test

Phenology of tropical forest plant is a population factor and does not include community factor, this is caused by a genetic determinationand also the influence of the environment. Phenology of plants in mangrove correlated with the time of flowering, fruiting, and productionof fruits or propagules. Phenology research in mangrove plants in the Unggas Island, West Pasaman, done with ‘tagging’ technique method.Signs made of plastic and are numbered. Data collection included from the formation of flower blooming, up to the formation of fruit orpropagules ripe. Phase of the development is categorized to two categories: (a) flower, and (b) fruit. The analysis method is the analysis ofvariance (ANOVA, p<0.01) and post-hoc test, Duncans Multiple Range Test (DMRT, p<0.01) to obtain comparison and differencesbetween the components of flower, flower fall, fruit, and fruit maturity.

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