64 research outputs found
Understanding the Adaptive Ability of Corals to Changing Environments.
Ph.D. Thesis. University of Hawaiʻi at Mānoa 2017
Kualitas Permukiman pada Basin Wonosari dan Perbukitan Karst Gunungsewu di Kabupaten Gunungkidul
Kualitas permukiman merupakan modal dasar dan berperan penting dalam pembangunan berkelanjutan karena permukiman merupakan tempat dalam pusat pendidikan keluarga, budaya, dan tempat peningkatan kualitas generasi. Tujuan dari penelitian ini adalah untuk mengetahui kualitas permukiman pada tiap bentuklahan, mengetahui ada tidaknya pengaruh bentuklahan terhadap kualitas permukiman beserta perbedaannya, dan mengetahui faktor yang berpengaruh terhadap kualitas permukiman pada tiap bentuklahan. Pengolahan data menggunakan program Ms. Excel dan SPSS. Analisis yang digunakan dalam penelitian ini ada tiga yaitu analisis tabel deskriptif kuantitatif, analisis Mann Whiteney-U, dan analisis tabel silang. Hasil dari penelitian ini menunjukkan bahwa kualitas permukiman pada bentuklahan Basin Wonosari sedikit lebih baik dibanding bentuklahan Perbukitan Karst Gunungsewu, bentuklahan tidak berpengaruh terhadap kualitas permukiman dan perbedaan terletak pada potensi sumberdayanya, dan variabel sosial ekonomi memberikan pengaruh langsung bagi daya dan upaya manusia yang tinggal di dalam rumah tersebut dalam meningkatkan kualitas permukiman terutama parameter tinglat pendapata
IDENTIFIKASI DAERAH JELAJAH RUSA TIMOR (Rusa timorensis) DI TAMAN WISATA ALAM PULAU MENIPO, KECAMATAN AMARASI TIMUR BERBASIS SISTEM INFORMASI GEOGRAFIS
Deer is a source of animal wealth in Indonesia, consisting of four endemic species, namely: Muntjak Deer (Muntiacus muntjak), Bawean Deer (Axis kuhlii), Sambar Deer (Cervus unicolor), and Timor Deer (Russa timorensis). Timor deer is a species of tropical deeroriginating from Java, often found in various Indonesian archipelago both in its natural habitat and in captivity, management of Timor deer under the Directorate General of Forestry, Nature Conservation and the Ministry of Forestry, its existence is feared to be extinct by the threat of poaching and habitat destruction (Lelono, 2003). The Timor deer (deer timorensis) is one of the most protected wildlife in Indonesia, based on the regulation of the Minister of Environment and Forestry of the Republic of Indonesia number P.106 in 2018 on species of plants and animals Protected, from all forms of hunting, arrest and possession. Field observations are used for two periods, the first period is 06.00 - 10.00 and the second period is 15.00 - 18.00 which is used in data collection for the home range is the Minimum Convex Polygon method and the most commonly used is core utilization or regional data collection, the kernel utilization distribution method. The results showed that the area of deer Timor was scattered in the region, with the area of Timor deer exploration in TWA Menipo Island area of 3425 km2 or 306 hectares (Ha) (12.49% of the total area of TWA Menipo Island) and the core area of 1776 km2 or 170 hectares (Ha) (6.94% of the total area of TWA Menipo Island)
BANGKITAN PERJALANAN PENDUDUK DI KECAMATAN ALAK KOTA KUPANG
Tujuan penulisan tugas akhir ini adalah untuk mendapatkan model bangkitan dan pola bangkitan perjalanan penduduk di Kecamatan Alak. Metode pengumpulan data dilakukan dengan metode kuisioner dan wawancara langsung sebagai alat ukur dengan satuan rumah tangga sebagai sampel yang dilakukan secara acak dengan metode acak sederhana (simple random sampling). Untuk mendapatkan model bangkitan dan pola bangkitan perjalanan penduduk maka perlu dilakukan beberapa analisis. Analisis yang pertama dilakukan adalah uji validitas dan linearitas data lalu dilakukan uji antar variabel dengan menggunakan matriks korelasi, dari hasil matriks korelasi ternyata hanya 3 (tiga) variabel bebas saja yang berpengaruh terhadap bangkitan perjalanan yang terjadi yaitu jumlah anggota keluarga yang sekolah (X3), jumlah anggota keluarga yang bekerja (X2), dan jumlah anggota keluarga (X1), dengan Y = 1,146 X3 + 0,918 X2 + 0,372 X1 – 0,923. Untuk pola distribusi perjalanan yang dihasilkan terbagi atas 2 yaitu perjalanan dalam Kecamatan Alak sebesar 249 perjalanan dengan perjalanan paling banyak menuju Kelurahan Alak sebesar 48 perjalanan dan perjalanan keluar Kecamatan Alak sebesar 1353 perjalanan dengan perjalanan paling banyak menuju Kecamatan Oebobo sebesar 412 perjalanan.The purpose of this final assignment is to obtain a generation model and pattern of residents trip in Alak District. The method of data collection is done by questionnaire method and direct interview as a measuring instrument with household units as samples that are done randomly by simple random sampling. To get a generation model and population trip generation pattern, it is necessary to do some analysis. The first analysis carried out was the validity and linearity test of the data and then tested between variables using a correlation matrix, from the correlation matrix results only 3 (three) independent variables that influence trip generation that occur, namely the number of family members in school (X3), the number of family members working (X2), and the number of family members (X1), with Y = 1,146 X3 + 0,918 X2 + 0,372 X1 - 0,923. The trip distribution pattern produced is divided into 2, namely trips in Alak Subdistrict equal to 249 trips with the most trips to Alak Sub-District for 48 trips and outbound trips Alak District for 1353 trips with the most trips to Oebobo Subdistrict for 412 trips
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Collaborative International Research in Clinical and Longitudinal Experience Study in NMOSD.
Objective: To develop a resource of systematically collected, longitudinal clinical data and biospecimens for assisting in the investigation into neuromyelitis optica spectrum disorder (NMOSD) epidemiology, pathogenesis, and treatment.
Methods: To illustrate its research-enabling purpose, epidemiologic patterns and disease phenotypes were assessed among enrolled subjects, including age at disease onset, annualized relapse rate (ARR), and time between the first and second attacks.
Results: As of December 2017, the Collaborative International Research in Clinical and Longitudinal Experience Study (CIRCLES) had enrolled more than 1,000 participants, of whom 77.5% of the NMOSD cases and 71.7% of the controls continue in active follow-up. Consanguineous relatives of patients with NMOSD represented 43.6% of the control cohort. Of the 599 active cases with complete data, 84% were female, and 76% were anti-AQP4 seropositive. The majority were white/Caucasian (52.6%), whereas blacks/African Americans accounted for 23.5%, Hispanics/Latinos 12.4%, and Asians accounted for 9.0%. The median age at disease onset was 38.4 years, with a median ARR of 0.5. Seropositive cases were older at disease onset, more likely to be black/African American or Hispanic/Latino, and more likely to be female.
Conclusions: Collectively, the CIRCLES experience to date demonstrates this study to be a useful and readily accessible resource to facilitate accelerating solutions for patients with NMOSD
Genetic structure is stronger across human-impacted habitats than among islands in the coral Porites lobata
We examined genetic structure in the lobe coral Porites lobata among pairs of highly variable and high-stress nearshore sites and adjacent less variable and less impacted offshore sites on the islands of Oahu and Maui, Hawaii. Using an analysis of molecular variance framework, we tested whether populations were more structured by geographic distance or environmental extremes. The genetic patterns we observed followed isolation by environment, where nearshore and adjacent offshore populations showed significant genetic structure at both locations (AMOVA FST = 0.04∼0.19, P < 0.001), but no significant isolation by distance between islands. Strikingly, corals from the two nearshore sites with higher levels of environmental stressors on different islands over 100 km apart with similar environmentally stressful conditions were genetically closer (FST = 0.0, P = 0.73) than those within a single location less than 2 km apart (FST = 0.04∼0.08, P < 0.01). In contrast, a third site with a less impacted nearshore site (i.e., less pronounced environmental gradient) showed no significant structure from the offshore comparison. Our results show much stronger support for environment than distance separating these populations. Our finding suggests that ecological boundaries from human impacts may play a role in forming genetic structure in the coastal environment, and that genetic divergence in the absence of geographical barriers to gene flow might be explained by selective pressure across contrasting habitats
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