scholarly journals INDEKS KEANEKARAGAMAN JENIS IKAN DEMERSAL DI PERAIRAN TARAKAN

2015 ◽  
Vol 6 (1) ◽  
pp. 47 ◽  
Author(s):  
Suprapto Suprapto
Keyword(s):  
Species Richness ◽  
Species Diversity ◽  
Diversity Indices ◽  
Demersal Fish ◽  
Management Policy ◽  
Fishing Ground ◽  
Trawl Fishing ◽  
Data Capacity ◽  
Species Diversity Indices ◽  
Evenness Indices

Perairan Tarakan termasuk daerah penangkapan sumber daya ikan demersal dan udang cukup potensial di KalimantanUtara. Tingginya tingkat eksploitasi ikan demersal dengan menggunakan trawlmenyebabkan keragaman jenisnya rendah. Penelitian ikan demersal dilakukan di perairan Tarakan pada bulanMei,Agustus dan Nopember 2012. Tujuan penelitian adalah untuk memperoleh indeks keanekaragaman jenis ikan demersal. Data spesies ikan demersal dikumpulkan dari hasil tangkapan jaring trawl yang dioperasikan oleh kapal motor 20GT dengan metode sapuan area. Hasil penelitian menunjukkan bahwa jumlah taksa ikan demersal sebanyak 86 spesies yang tergolong kedalam45 famili. Komposisi jenis hasil tangkapan trawl didominasi oleh famili Leiognathidae (ikan petek), Sciaenidae (ikan gulama), Harpadontidae (ikan nomei),Apogonidae (ikan serinding) danMullidae (ikan bijinangka). Status keanekaragaman jenis termasuk dalamkategori sedang dengan indeks “Shanon-Wiener” (H’)berkisar antara 1,7-2,5 sedangkan indeks kekayaan “Margalef” (R1 ) berkisar antara 7-8. Penyebaran spesies ikan demersal bersifat sedang dengan indeks kemerataan jenis (E) rata-rata sebesra 0,5.Kelimpahan ikan demersal tidak ada yang dominan, ditunjukkan oleh nilai indeks kemerataan jenis “Pielou” (E) rata-rata sebesar 0,4.Tarakan and adjacent waters is one of potentially fishing ground of demersal fish resources in north Kalimantan. High exploitation by trawler tend to decreased of biodiversity of demersal fish in this area. Research has been conducted in the waters of Tarakan duringMay, August and November 2012. The aim of this research is to get species diversity indices of demersal fish, which is expected to be useful as one of the data capacity for sustainable fisheries management policy. Data obtained by using trawl fishing gear with a sweept area method.The results showed that demersal fish species richness 86 species, belonging to 45 families. Dominant family are Leiognathidae, Sciaenidae, Harpadontidae, Apogonidae andMullidae. Result of analysis indicate that species diversity in Tarakan waters in the medium category. Status of biodiversity consist of: range value diversityindices “Shanon-Wiener” (H’) was 1.7 to 2.5; species richness indices of “Margalef” (R1 ) are between 7-8; evenness indices of “Pielou” (E 1) was 0,5 and dominant indices “Pielou” (E) an average of 0.4.

scholarly journals Bird diversity analysis in the lower mountain forest of mount Bulusaraung to support ecotourism’s activities in Bantimurung Bulusaraung National Park

2021 ◽  
Vol 886 (1) ◽  
pp. 012047
Author(s):  
A Achmad ◽  
U Damayanti ◽  
R I Maulany
Keyword(s):  
Species Diversity ◽  
National Park ◽  
Bird Species ◽  
Diversity Indices ◽  
Bird Diversity ◽  
Line Transect ◽  
Mountain Forest ◽  
Transect Line ◽  
Species Diversity Indices ◽  
Evenness Indices

Abstract Lower mountain forest in the complex of Mount Bulusaraung Bantimurung Bulusaraung National Park, is a one of bird’s habitat in the South Sulawesi. This area is a tourist destination, especially mountain climbing activities. Thus, it is necessary to know the diversity of animals, especially birds on this hiking trail, so that the information can be used to support ecotourism activities. This study aims to analyze the diversity of bird species in the complex of Bulusaraung Mountain, Bantimurung Bulusaraung National Park in order to support ecotourism activities. This research was conducted from April to June 2018. Data was collected using the line transect method on three lines, namely the Balleanging, Kattokaddaro and Tompobulu lines. The second and third paths are hiking trails, while the rest are trails leading to community agricultural areas. The geographical position of the transect line was recorded using GPS. The GIS method was used to generate a bird watching trail map. Data analysis was carried out to calculate the individual density and frequency of bird presence. In addition, the species diversity indices, species evenness indices, and species richness indices were also calculated. The results showed that there were 44 species of birds found in the study area, which were 16 species in the Balleanging line, 27 species in the Kattokaddaro line and 37 species in the Tompobulu line. The highest bird species diversity indices value was found on the Tompobulu line (H' = 2.93), while on the Kattokaddaro line it was H' = 2.73 and the Balleanging H' = 2.55. The results of this study will support the management strategy in Bantimurung Bulusaraung National Park in order to harmonize the conservation of biological resources through ecotourism activities that involve local communities to increase their economic income.

scholarly journals Microbial Diversity Based on Multifractal Analysis of Metagenomes

2021 ◽  
Author(s):  
Xianhua Xie ◽  
Yuanlin Ma ◽  
Zuguo Yu ◽  
Guosheng Han
Keyword(s):  
Species Richness ◽  
Species Diversity ◽  
Multifractal Analysis ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Diversity Indices ◽  
Age Difference ◽  
Chaos Game Representation ◽  
As Species ◽  
Species Diversity Indices

Species diversity in microbiome is a cutting-edge concept in metagenomic research. In this study, we propose a multifractal analysis for metagenomic research. From the chaos game representation (CGR) visualization of simulated and real metagenomes, we find that there exists self-similarity in the visualization of metagenomes. Then we compute the multifractal dimensions for simulated and real metagenomes. For simulated metagenomes, we also compute their diversity indices, such as species richness indices, Shannon’s diversity indices and Simpson’s diversity indices respectively for varying value of . Fom the Pearson correlation coefficients between their multifractal dimensions and traditional species diversity indices, we find that the correlation coefficients between the multifractal dimensions and species richness indices and Shannon diversity indices reach their maximums at respectively. The correlation coefficients between the multifractal dimensions and Simpson’s diversity indices reach their maximums at nearly. So the traditional diversity indices can be unified by the frame of multifractal analysis. These results coincided with the similar results in macrobial ecology. Finally, we apply our methods to real metagenomes of 100 infants’ gut microbiomes when they are newborn, 4 months and 12 months. Our results show that multifractal dimensions of infants’ gut microbiomes can discriminate the age difference.

scholarly journals INDEKS KEANEKARAGAMAN HAYATI SUMBERDAYA IKAN DEMERSAL DI PERAIRAN SAMUDERA HINDIA SELATAN JAWA

2017 ◽  
Vol 23 (2) ◽  
pp. 123
Author(s):  
Thomas Hidayat ◽  
Nurulludin Nurulludin
Keyword(s):  
Species Diversity ◽  
Indian Ocean ◽  
Data Collection ◽  
Diversity Indices ◽  
Demersal Fish ◽  
Bottom Trawl ◽  
The Indian Ocean ◽  
Species Diversity Indices

Penelitian telah dilakukan di perairan Samudera Hindia Selatan Jawa pada bulan September-Oktober 2015. Peneletian ini bertujuan mendapatkan informasi indeks keanekaragaman jenis ikan demersal, yang diharapkan dapat dijadikan sebagai salah satu bahan pertimbangan dalam menentukan kebijakan pengelolaan perikanan. Pengumpulan data spesies dilakukan melalui survei pukat dasar (bottom trawl) menggunakan KR. Baruna Jaya IV (1200 GT). Hasil penelitian mendapatkan 70 spesies ikan demersal yang tergolong dalam 36 famili. Spesies yang mendominasi adalah famili Sciaenidae (ikan tigawaja), Trichiuridae (ikan layur) dan Ariidae (manyung), Haemulidae (ikan kaci-kaci) dan Mullidae (kuniran). Tingkat keanekaragaman jenis ikan demersal termasuk dalam kategori “sedang” dengan indeks “Shanon-Wiener” (H’) berkisar 2,5. Indeks kekayaan jenis “Margalef” (R1 ) sebesar 7,9. Penyebaran diantara spesiesnya bersifat sedang, dengan indeks kemerataan jenis “Pielou” (E) rata-rata 0,30 dan tidak banyak jenis yang mendominasi kelimpahannya, dengan nilai indeks dominasi (C) rata-rata sebesar 0,12.  The research was conducted in the Indian Ocean southern part of  Java during September-October 2015. This research aims to examine species diversity indices of demersal fish. Data collection was carried through a survey bottom trawl using KR. Baruna Jaya IV (1200 GT). The results showed that catch consisted of 70 species (36 families). The dominant families were the Sciaenidae, Trichiuridae Ariidae, Haemulidae and Mullidae. The level of species diversity of demersal fish was medium category. The species diversity indices of “Shanon-Wiener” (H ‘),  “Margalef” (R1), Evennes indices of “Pielou” (E1) and dominant indices (C) were 2.5, 7.9, 0.30 and 0.12, respectively. 

Diversity and community structure of Ephemeroptera in freshwater stream of Megamalai hills, Tamil Nadu, India

ENTOMON ◽  
2021 ◽  
Vol 46 (4) ◽  
pp. 279-284
Author(s):  
S. Barathy ◽  
T. Sivaruban ◽  
Srinivasan Pandiarajan ◽  
Isack Rajasekaran ◽  
M. Bernath Rosi
Keyword(s):  
Community Structure ◽  
Species Diversity ◽  
Air Temperature ◽  
Tamil Nadu ◽  
Dominant Species ◽  
Diversity Indices ◽  
Low Diversity ◽  
Freshwater Stream ◽  
Species Diversity Indices ◽  
High Diversity

In the study on the diversity and community structure of Ephemeroptera in the freshwater stream of Chinnasuruli falls on Megamalai hills, a total of 523 specimens belonging to thirteen genera and five families were collected in six month periods. Of the five families, Teloganodidae and Leptophlebiidae exhibited high diversity and Caenidae showed low diversity. Choroterpes alagarensis (Leptophlebiidae) is the most dominant species. Diversity indices such as Shannon and Simpson indices showed that diversity was maximum in November and December and it was minimum in August and January. Canonical Correspondence Analysis revealed that rainfall, water flow, turbidity, and air temperature were the major stressors in affecting the Ephemeropteran community structure.

Statistical performance of a multicomparison method for generalized species diversity indices under realistic empirical scenarios

2017 ◽  
Vol 72 ◽  
pp. 545-552 ◽  
Author(s):  
Davi Butturi-Gomes ◽  
Miguel Petrere ◽  
Henrique C. Giacomini ◽  
Silvio Sandoval Zocchi
Keyword(s):  
Species Diversity ◽  
Diversity Indices ◽  
Species Diversity Indices

scholarly journals Geographical Distribution, Biodiversity, and Species Richness of Medically Important Necrophagous Flies in Central Iran

2019 ◽  
Vol 57 (2) ◽  
pp. 377-381
Author(s):  
Ehssan Mozaffari ◽  
Abedin Saghafipour ◽  
Kourosh Arzamani ◽  
Nahid Jesri ◽  
Majid Kababian ◽  
...  
Keyword(s):  
Species Richness ◽  
Species Diversity ◽  
Similarity Index ◽  
Wiener Index ◽  
Diversity Indices ◽  
Central Iran ◽  
Calliphora Vicina ◽  
Mountainous Areas ◽  
Cross Sectional ◽  
Important Species

Abstract There have been some investigations carried out about necrophagous flies and their biodiversity indices in Iran. In the present study, the species composition of flies, their richness, and biodiversity were investigated in central Iran. In a cross-sectional study, specimens were collected monthly in three different climate areas of Qom Province. Species diversity, species richness, and species evenness were calculated to estimate the species biodiversity of flies. In total, 7,291 flies were collected and identified using valid identification keys that classified flies into four families and 15 different species. The largest collection of flies was obtained in the mountainous areas comprising 36.2% of specimens. Moreover, five forensically important species of fly were collected in this region with the potential to cause human and animal myiasis: Calliphora vicina, Lucilia sericata, Musca domestica, Wohlfahrtia nuba, and Chrysomya albiceps. There were slight differences in species richness and diversity indices in the areas. In mountainous areas, the Shannon–Wiener index and richness were maximum (H’ = 1.87, S = 13). The evenness based on the Shannon evenness index in the mountainous areas was 0.728 and 0.719 in desert areas, whereas it was the highest (0.764) in the semidesert areas. Moreover, high values of the Jaccard similarity index were observed in captured necrophagous fly species in all the areas. The necrophagous fly fauna and species diversity indices were high because of an increase in the evenness. In general, some well-known forensically important species of flies were collected that proved the potential of myiasis occurrence in this area.

scholarly journals Biodiversity and population fluctuations of parasitoids of the white peach scale, Pseudaulacaspis pentagona (Targioni-Tozzetti) (Hemiptera: Diaspididae), in kiwifruit orchards in Northern Iran

2019 ◽  
Vol 12 (1) ◽  
pp. 12-21 ◽  
Author(s):  
A.H. Toorani ◽  
H. Abbasipour ◽  
L. Dehghan-Dehnavi
Keyword(s):  
Species Abundance ◽  
Alpha Diversity ◽  
Diversity Indices ◽  
Population Fluctuations ◽  
Parasitoid Species ◽  
Northern Iran ◽  
Pseudaulacaspis Pentagona ◽  
Species Diversity Indices ◽  
Evenness Indices ◽  
White Peach Scale

Summary The white peach scale, Pseudaulacaspis pentagona Targioni-Tozzetti (Hemiptera: Diaspididae), is one of the most important and destructive polyphagous pests of the Rosaceae family trees. Population fluctuations and biodiversity of the hymenopteran parasitoid species associated with the pest were studied in six kiwi orchards in Iran, during one-year period. Parasitoid species abundance, species diversity indices and evenness indices were calculated. Most of the parasitoid species were dominant or eudominant. Based on the alpha diversity indices, the Najarkola region had high diversity and the Kharatkola region had low diversity. The Paeendasteh region (based on Simpson’s Diversity on Camargo evenness indices) and the Samnakola region (based on the modified Nee, and on Smith and Wilson evenness indices) were less uniform. Among the recorded parasitoids, Encarsia berlesei Howard (Hymenoptera: Aphelinidae), followed by Aphytis proclia Walker (Hymenoptera: Aphelinidae), had the highest population in all orchards.

Diversity

2009 ◽  
Author(s):  
John S. Gray ◽  
Michael Elliott
Keyword(s):  
Species Richness ◽  
Diversity Indices ◽  
Abundance Ratio ◽  
Number Of Species ◽  
True Diversity ◽  
Species Richness And Abundance ◽  
Evenness Indices ◽  
Number Of Individuals

In the previous chapter we covered ways of describing samples of benthos, but specifically did not include diversity. We can talk of primary community variables, such as abundance (A), species richness (S) and biomass (B), and derived variables from these such as true diversity indices, evenness indices, and ratios indicating the relationship between species richness and abundance (A/S, the abundance ratio or the average abundance per species) and between biomass and abundance (B/A, the biomass ratio or the mean biomass per individual). Diversity is not just simply about the number of species found in a sample or area, but also uses data on the abundances of individuals among the species and the way those abundances are distributed among the species within the assemblage. There are many ways of describing diversity. Here we give a summary of the most important ones and reference sources of recent literature on the subject (see also the data analysis summary in Chapter 11). In the following section we consider simple indices (univariate) as measures of diversity; multivariate methods of analysing patterns will be covered in Chapter 7 on the effects of disturbance. The simplest way to measure diversity is the number of species found in a sample, called the species richness (S or SR). Yet diversity is not just about numbers of species; it is also concerned with the distribution of numbers of individuals per species. For example, if one assemblage has 50 individuals of each of 2 species A and B whereas another assemblage has 99 individuals of species A and 1 individual of species B, then both have the same species richness but the first assemblage is the more diverse. Thus a measure of diversity (an index) must take into account not only the number of species, but also the number of individuals per species. To distinguish this from species richness, the combination of individuals per species and number of species is called heterogeneity diversity. In fact there are a large number of diversity indices, and we do not propose to consider them all here (Magurran 2004 gives an excellent and detailed account and others are mentioned in the summary in Chapter 11).

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