scholarly journals Population distribution patterns of Nepenthes reinwardtiana Miq. in Kerangas Forest of Teluk Adang Nature Reserve, Paser Regency

2020 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Ratna Juliarti Wulandari ◽  
Muhammad Sumaryono ◽  
Ali Suhardiman

Teluk Adang Nature Reserve (NR) is one of the Nepenthes habitats in East Kalimantan. One of the four Nepenthes species that can be found in this nature reserve is Nepenthes reinwardtiana or by local people known as anjat datu. The objectives of this study are to determine the population of N. reinwardtiana in Teluk Adang NR by calculating its density and frequency, and  to know its distribution pattern using Morisita index and spatial analysis approach in the form of Nearest Neighbor Analysis and Multi-Distance Spatial Cluster Analysis (Ripley's K Function). To know its distribution pattern, a census method by creating 5m x 5m plot along the observation track was done. The results showed that there were 2,943 individuals of N. reinwardtiana in Teluk Adang NR. Standardized Morisita Dispersion Index was 0.51, 0.55, and 0.51 in Tajur Village, Pasir Mayang Village, and Janju Village, respectively. The spatial distribution of N. reinwardtiana was clustered. Research on the distribution of N. reinwardtiana and its habitat needs to be carried out continuously so that its population in the Teluk Adang NR can be monitored.

2021 ◽  
Vol 6 (3) ◽  
pp. 64800
Author(s):  
Bahana Aditya Adnan ◽  
Suwarno Hadisusanto ◽  
Purnomo Purnomo

Rafflesia patma is an endemic plant of Pangandaran, West Java which is protected because of its rare status. The purpose of this research is to study the population structure, distribution patterns, and the effect of the physical environment of abundance R. patma in Pananjung Pangandaran Nature Reserve, West Java. The method used in this research was a survey method with a purposive sampling technique. Sampling was conducted using quadrat plots. The population pattern distribution was defined by a standardized Morisita index, and the analysis of abiotic environmental factors was determined by Principal Component Analysis (PCA) using PAST3. The results showed that there were 114 R. patma individuals scattered in several research areas in Pananjung Pangandaran Nature Reserve, they were Gua Parat (3 individuals), Cilegon (13 individuals), Pasir Putih (12 individuals), Badeto (48 individuals), and Curug Leutik (38 individuals). The distribution pattern of R. patma in Pananjung Pangandaran Nature Reserve was clustered with the Morisita index value (Id) > 1. Based on the PCA analysis, results that support the classification of the cluster analysis were obtained. Based on four abiotic environmental conditions analyzed, the most dominant character in influencing the distribution patterns and population structure of R. patma is light intensity. 


2020 ◽  
Vol 11 (7) ◽  
pp. 740-751
Author(s):  
Nilson Reinaldo Fernandes dos Santos Júnior ◽  
Diogo Martins Rosa ◽  
José Das Dores de Sá Rocha ◽  
Marta Silvana Volpato Sccoti ◽  
Scheila Cristina Biazatti ◽  
...  

Mapping Brazil nut trees in the Amazon is essential for indicating its distribution patterns within different ecosystems, while also being useful to estimate the species productive potential. This study aimed to evaluate the spatial distribution of Brazil nut trees in Flona do Jamari – RO, considering its environmental and topographic conditions. A census was performed for all individual trees sized ≥ 35 cm in diameter at 1.30 m breast height (DBH) above the ground of six Annual Production Units (APU) in Forest Management Unit III (FMU-III), a 11,011.2 ha area of Flona do Jamari, RO. DBH and geographic location (GPS) were collected for each tree. Structure and diameter distribution were evaluated by abundance, density, dominance, and frequency. The Morisita index was used to identify the spatial distribution pattern. The environment was defined by the local relative height found along the drainage network, by the digital model Height Above the Nearest Drainage (HAND). Most trees were among DBH intermediate classes (60 to 140 cm), and only a few were young trees (DBH < 50 cm). Brazil nut trees present a random spatial distribution and a predominant distribution pattern of 'terra-firme (solid ground)'. Such information on the species structural, spatial, and ecological patterns serve as key elements for further studies on production potential.


2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Graziela Ribeiro da Cunha ◽  
Camila Marinelli Martins ◽  
Marília de Fátima Ceccon-Valente ◽  
Liana Ludielli da Silva ◽  
Flavia Dias Martins ◽  
...  

Abstract: This study aimed to establish the frequency and spatial distribution of animal and object hoarding in Curitiba (Paraná State), the eighth most populous city in Brazil. All hoarding complaints received by the City Secretaries of Health, Environment and Social Assistance between September 2013 and April 2015 were collected (n = 226) and suspicious cases were individually investigated. A total of 113/226 (50%) of complaints were confirmed as hoarding cases, representing an overall ratio of 6.45 cases per 100,000 inhabitants in Curitiba, of which 48/113 (42.5%) involved object hoarders, 41/113 (36.3%) animal hoarders and 24/113 (21.2%) both animal and object hoarders. A correlation of total identified cases with neighborhood population density and all population stratums analyzed (total, gender, age) was significantly positive (p < 0.01), and with neighborhood mean monthly income (r = -0.2; p = 0.03) significantly negative. A spatial cluster of cases was found in the north of the city (OR = 8.57; p < 0.01). Hoarding cases were relatively frequent in Curitiba and were associated with population distribution patterns and inversely related to neighborhood income.


2021 ◽  
Vol 4 (2) ◽  
pp. 155-165
Author(s):  
Chairun Nas ◽  
Nursaka Putra ◽  
Ilwan Syafrinal

Cirebon city moves continually to become Smart City by making technology to public service. One form of technology to public service to is by providing internet facilities for public or for community. Currently there are several internet facility services for public, but these services are only available at certain location points and are not spread evenly. Apart from that, the government has difficulty in determining the right location points to serve as public internet service facilities. The purpose of this research is to analyze the pattern of distribution of internet facilities location points so that they can be mapped digitally using Geographic Information Systems. In this research, the data used were 49 object data points for location of internet facilities in Cirebon. Furthermore, the data will be analyzed using the Nearest Neighbor Analysis (NNA) method to determine the distribution pattern of internet facility location points. Based on the resulting distribution pattern, it can be implemented into digital mapping using Geographic Information Systems. So the Geographic Information System can help the government in making decisions, and for the public to find out the location points of internet facilities in Cirebon.


Author(s):  
M. Rubal ◽  
C. Besteiro ◽  
P. Veiga

The northern Galician rias provide important economic and social services from fisheries, shellfish harvesting and recreational activities. Consequently, these rias have been included in the Nature 2000 Network as a Special Conservation Zone. The aims of this study were to describe the meiofauna spatial structure in terms of diversity and abundance of major taxa, as well as its relationship with the environmental characteristics in the Ria de Foz nature reserve. For this aim, environmental gradients and distribution patterns of intertidal meiobenthic communities at the Ria de Foz nature reserve were studied using multivariate methods. Ria de Foz showed to be a complex transitional habitat with significant changes in its environment along the estuarine gradient. An abundant and rich meiofauna community was reported at Ria de Foz. A total of 21 higher taxa of meiofauna were found. The most common taxa were nematodes, copepods, ostracods and turbellarians. Three clear different meiobenthic communities were defined. These three communities showed a clear spatial distribution pattern along the estuarine gradient. Moreover, a high degree of similarity between distribution patterns of meiobenthic communities and previously studied macrobenthic communities was found. Regarding the role of environmental factors shaping meiobenthic community distribution patterns distance to the river mouth was the environmental variable that best explained meiobenthic community structure and distribution. Therefore, changes on hydrodynamics that affect environmental factors related to the estuarine gradient will change the distribution pattern and diversity of benthic communities. This work provides the first information about meiobenthos diversity and structure in the Ria de Foz nature reserve and should be useful for future management and conservation plans on this and other similar protected areas.


2021 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Dwi Wardatul Rizkiah ◽  
Hari Sulistiyowati ◽  
Arif Mohammad Siddiq

Exotic plants are plants that are introduced intentionally or unintentionally from their original habitat to a new habitat. One of the exotic plants that is potentially invasive is Chromolaena odorata. These plants are found a lot especially in the rehabilitation zone at Donglo Block Resort of Wonoasri, Meru Betiri National Park (MBNP). An initial effort to determine whether this exotic plant was potentially invasive was to use the distribution pattern of a plant population. This study aimed to determine the distribution pattern and area of cover of exotic plants C. odorata in rehabilitation zone at Donglo Block, Resort of Wonoasri MBNP. The sampling of C. odorata used the transect plot method systematically, which carried out in Donglo Block Resort of Wonoasri MBNP. Data analyzed using Morisita index. The map of distribution pattern of C. odorata was created using the Geographic Information System (GIS). Based on the results of the Morisita index, the value (Iδ) = 12.39, which means that C. odorata has a clumped distribution pattern. The distribution pattern of C. odorata can also be seen from the visualization of the spatial distribution map, which shows that the growth of C. odorata in plants or overlaps with each other, hence that it looks clustered. The coverage area of C. odorata in the study location was 596,5 m2 or 29.24% of the total area of the study (20,400 m2). Based on the results of the coverage area of C. odorata, it was indicated that this exotic species is not yet classified as an invasive species in the area.


Author(s):  
Nurwita Mustika Sari ◽  
Nurina Rachmita ◽  
Masita Dwi Mandini Manessa

Forest and land fires that have occurred in the territory of East Kalimantan Province have caused immediate disaster to the area from year to year and become a global concern in recent years. Hotspots that potentially cause forest and land fires can be detected using satellites such as NOAA-20. The purposes of this study are to analyze the distribution pattern of hotspots in East Kalimantan Province during 2017-2019, identify areas with the highest risk of fires caused by the high intensity of hotspot. The method used in this study is the Nearest Neighbor Analysis and Kernel Density Estimation analysis. The results showed that the distribution pattern of hotspots in East Kalimantan Province during 2017-2019 was clustered with the highest intensity of hotspots were in Berau, East Kutai and Kutai Kartanegara Districts. And from the result of the analysis, the highest number of days has a peak hotspots on September each year. Keywords: forest and land fires, hotspots, Nearest Neighbor, Kernel Density Estimation


2019 ◽  
Vol 2 (1) ◽  
pp. 336-346
Author(s):  
Dhamon Oridilla B

Candi Village in Bandungan District is one of the Chili Supply Sub-district for Semarang Regency and surrounding area has agro-climate suitable for the development of various agricultural commodities supported by wide market opportunity, so it is suitable for agricultural business development. The purpose of this research is to identify the distribution pattern of red pepper, to know each value of commodity chains and distribution, to design alternative distribution pattern of red pepper.Population in this research is 88 respondents from 735 of member of chilli farmer in Desa Candi with total area of 150,3 hectare consisting of rice field, moor and yard. Methods of data analyst using quantitative approach is done by using Margin Marketing Analysis. The results include: (1) The pattern of distribution of existing farming business grows naturally in accordance with the developments and needs of the perpetrators, the actors in this pattern are farmers, wholesalers, collectors, wholesalers, retailers, consumers. (2) The value of the red chili commodity chain in this naturally grown pattern often makes pricing more dominant by traders, so farmers receive prices slightly lower than market prices. (3) Some obstacles faced in distributing red peppers are the difficulty of changing the mindset of the community about advanced farming, this is best utilized by market participants (chain of distribution) who are more informed and always keep abreast of market dynamics. Conventional marketing pattern by farmer cause price level accepted by farmer in general relatively smaller compared to price received by trader. Suggestions shorten the chain of distribution patterns, increase the added value of products and improve the bargaining position of farmers and for the government always guide / accompany farmers in getting accurate market information, which can be used as farmers in bargaining, Increased market transparency can act as a trigger for the functioning of a market, improved competition and increased adaptation to meet the needs of supply and opportunity to compete with market prices. Desa Candi di Kabupaten Bandungan adalah salah satu Kecamatan Penyedia Cabai untuk Kabupaten Semarang dan sekitarnya memiliki agroklimat yang cocok untuk pengembangan berbagai komoditas pertanian yang didukung oleh peluang pasar yang luas, sehingga sangat cocok untuk pengembangan bisnis pertanian. Tujuan dari penelitian ini adalah untuk mengidentifikasi pola distribusi cabai merah, untuk mengetahui masing-masing nilai rantai komoditas dan distribusi, untuk merancang alternatif pola distribusi cabai merah. Populasi dalam penelitian ini adalah 88 responden dari 735 anggota petani cabai di Desa Candi dengan total luas 150,3 hektar yang terdiri dari sawah, tegalan dan pekarangan. Metode analis data menggunakan pendekatan kuantitatif dilakukan dengan menggunakan Analisis Pemasaran Margin. Hasil meliputi: (1) Pola distribusi usaha pertanian yang ada tumbuh secara alami sesuai dengan perkembangan dan kebutuhan pelaku, pelaku dalam pola ini adalah petani, pedagang besar, pengumpul, pedagang besar, pedagang besar, pengecer, konsumen. (2) Nilai rantai komoditas cabai merah dalam pola yang dikembangkan secara alami ini sering membuat penetapan harga lebih dominan oleh para pedagang, sehingga petani menerima harga yang sedikit lebih rendah daripada harga pasar. (3) Beberapa kendala yang dihadapi dalam mendistribusikan paprika merah adalah sulitnya mengubah pola pikir masyarakat tentang pertanian maju, hal ini paling baik digunakan oleh pelaku pasar (rantai distribusi) yang lebih banyak informasi dan selalu mengikuti perkembangan dinamika pasar. Pola pemasaran konvensional oleh petani menyebabkan tingkat harga yang diterima petani pada umumnya relatif lebih kecil dibandingkan dengan harga yang diterima pedagang. Saran mempersingkat rantai pola distribusi, meningkatkan nilai tambah produk dan meningkatkan posisi tawar petani dan bagi pemerintah selalu membimbing / menemani petani dalam mendapatkan informasi pasar yang akurat, yang dapat digunakan sebagai petani dalam tawar-menawar, Peningkatan transparansi pasar dapat bertindak sebagai pemicu berfungsinya pasar, meningkatnya kompetisi dan peningkatan adaptasi untuk memenuhi kebutuhan pasokan dan peluang untuk bersaing dengan harga pasar.


2018 ◽  
Vol 5 (86) ◽  
pp. 25-35
Author(s):  
G.G. Rapakov ◽  
E.A. Lebedeva ◽  
V.A. Gorbunov ◽  
K.A. Abdalov ◽  
O.V. Mel'nichuk

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