Evaluation of species richness estimators in studies of diversity involving two larval digenean communities parasitizing snail hosts

2010 ◽  
Vol 107 (5) ◽  
pp. 1093-1102 ◽  
Author(s):  
Matías J. Merlo ◽  
Manuela Parietti ◽  
Jorge A. Etchegoin
Keyword(s):  
Species Richness ◽  
Richness Estimators

Catalogue of aquatic Oligochaeta (Annelida: Clitellata) of Montenegro, exclusive of Naidinae and Pristininae

Zootaxa ◽  
2011 ◽  
Vol 2985 (1) ◽  
pp. 1
Author(s):  
DANIJELA ŠUNDIĆ ◽  
BRANKO M. RADUJKOVIĆ ◽  
JASMINA KRPO–ĆETKOVIĆ
Keyword(s):  
Species Richness ◽  
Black Sea ◽  
Adriatic Sea ◽  
First Record ◽  
Aquatic Oligochaeta ◽  
The Black Sea ◽  
Drainage Basins ◽  
Aquatic Oligochaete ◽  
Balkan Region ◽  
Richness Estimators

The aquatic oligochaete fauna of Montenegro was recently studied in order to improve the knowledge of this group in the Balkan region. This study was carried out on sediments collected from 70 sampling sites (the Black Sea and the Adriatic Sea drainage basins) during three years (2005–2008). Forty-one species were identified, from seven following families: Naididae, Enchytraeidae, Haplotaxidae, Lumbriculidae, Lumbricidae, Criodrilidae and Branchiobdellidae (exclusive of Naidinae and Pristininae). Sixteen of them represent first record for the Montenegrin oligochaete fauna: Embolocephalus velutinus, Ilyodrilus templetoni, Psammoryctides deserticola, Spirosperma ferox, Tubifex ignotus, Bathydrilus adriaticus, Bothrioneurum vejdovskyanum, Rhyacodrilus coccineus, Cernosvitoviella atrata, Enchytraeus buchholzi, Mesenchytraeus armatus, Haplotaxis gordioides, Rhynchelmis limosella, Stylodrilus heringianus, Tatriella slovenica and Trichodrilus strandi. The list of species from the subfamilies Naidinae and Pristininae was published previously (Šundić et al. 2011), and it comprises 36 species. Altogether, the present study and literature data show that Montenegrin aquatic oligochaete fauna consists of 77 species. Concerning similarity, values of Jaccard’s index are the highest between Montenegrin and Serbian oligochaete fauna (57 %), and the lowest between Montenegrin and Albanian oligochaete fauna (27.77 %). Species richness estimators (Mao Tau, Uniques Mean, Chao 1, Chao 2, Jack 1, Jack 2, Bootstrap, ACE and ICE) indicate that findings of new oligochaete species in Montenegro are expected.

Macrofungal diversity of a temperate oak forest: a test of species richness estimators

1999 ◽  
Vol 77 (7) ◽  
pp. 1014-1027 ◽  
Author(s):  
John Paul Schmit ◽  
John F. Murphy ◽  
Gregory M. Mueller
Keyword(s):  
Species Richness ◽  
Oak Forest ◽  
Richness Estimators

Application of species-richness estimators for the assessment of earthworm diversity

2013 ◽  
Vol 49 (5-8) ◽  
pp. 273-283 ◽  
Author(s):  
Tanja Milutinović ◽  
Jovana Milanović ◽  
Mirjana Stojanović
Keyword(s):  
Species Richness ◽  
Richness Estimators

scholarly journals A structured inventory of spiders (Arachnida, Araneae) in natural and artificial forest gaps at Porto Urucu, Western Brazilian Amazonia

2010 ◽  
Vol 40 (2) ◽  
pp. 357-372 ◽  
Author(s):  
Alexandre B. Bonaldo ◽  
Sidclay C. Dias
Keyword(s):  
Species Richness ◽  
Performance Test ◽  
Gas Production ◽  
Pitfall Traps ◽  
Preliminary Survey ◽  
Community Similarity ◽  
Herbaceous Vegetation ◽  
Richness Estimators ◽  
Best Fit ◽  
Shelter Availability

A preliminary survey of the spider fauna in natural and artificial forest gap formations at “Porto Urucu”, a petroleum/natural gas production facility in the Urucu river basin, Coari, Amazonas, Brazil is presented. Sampling was conducted both occasionally and using a protocol composed of a suite of techniques: beating trays (32 samples), nocturnal manual samplings (48), sweeping nets (16), Winkler extractors (24), and pitfall traps (120). A total of 4201 spiders, belonging to 43 families and 393 morphospecies, were collected during the dry season, in July, 2003. Excluding the occasional samples, the observed richness was 357 species. In a performance test of seven species richness estimators, the Incidence Based Coverage Estimator (ICE) was the best fit estimator, with 639 estimated species. To evaluate differences in species richness associated with natural and artificial gaps, samples from between the center of the gaps up to 300 meters inside the adjacent forest matrix were compared through the inspection of the confidence intervals of individual-based rarefaction curves for each treatment. The observed species richness was significantly higher in natural gaps combined with adjacent forest than in the artificial gaps combined with adjacent forest. Moreover, a community similarity analysis between the fauna collected under both treatments demonstrated that there were considerable differences in species composition. The significantly higher abundance of Lycosidae in artificial gap forest is explained by the presence of herbaceous vegetation in the gaps themselves. Ctenidae was significantly more abundant in the natural gap forest, probable due to the increase of shelter availability provided by the fallen trees in the gaps themselves. Both families are identified as potential indicators of environmental change related to the establishment or recovery of artificial gaps in the study area.

scholarly journals Birds of the Parque Ecológico Lagoa da Fazenda, Sobral, Ceará state, northeastern Brazil

Check List ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 2037
Author(s):  
Ana Carolina Brasileiro ◽  
Frede Lima-Araujo ◽  
Jamile Aragão Alcântara ◽  
Alano Sousa Martins Pontes ◽  
José André Neto ◽  
...  
Keyword(s):  
Species Richness ◽  
Urban Expansion ◽  
Bird Species ◽  
Northeastern Brazil ◽  
Urban Park ◽  
Native Vegetation ◽  
Natural Areas ◽  
Local Species Richness ◽  
Local Species ◽  
Richness Estimators

Natural areas within cities are important as they contribute to maintain biodiversity and the functioning of ecosystems. In Ceará state, inventories of birds in human-impacted areas are still scarce. Here, we inventory bird species and estimate the species richness at Parque Ecológico Lagoa da Fazenda, an urban park in the municipality of Sobral, in northeastern Brazil. We found 82 bird species, of which 16 breed in the area, three are endemics, and three others are introduced. Despite the moderate species richness detected, richness estimators revealed that sampling was sufficient to detect most species. To maintain or even increase local species richness, we suggest the cessation of urban expansion within the park, sewage dumping, and filling of the wetland, as well as further planting of native vegetation.

scholarly journals Performance of species richness estimators across assemblage types and survey parameters

2014 ◽  
Vol 23 (5) ◽  
pp. 585-594 ◽  
Author(s):  
Gordon C. Reese ◽  
Kenneth R. Wilson ◽  
Curtis H. Flather
Keyword(s):  
Species Richness ◽  
Richness Estimators

scholarly journals Quantifying zooplankton species: use of richness estimators

2016 ◽  
Vol 106 (0) ◽  
Author(s):  
Maria Carolina de A. Castilho ◽  
Maria José dos S. Wisniewski ◽  
Célio Wisniewski ◽  
Érika dos S. Silva
Keyword(s):  
Asymptotic Behavior ◽  
Species Richness ◽  
Mesh Size ◽  
Minas Gerais ◽  
Zooplankton Species ◽  
Reservoir State ◽  
Richness Estimators ◽  
Dry And Rainy Seasons

ABSTRACT Richness estimators (Jackknife 1, Bootstrap, Chao 1 and ACE) were used to relate zooplankton species richness with amount of water collected per sample and number of samples throughout the year for the limnetic region of Sapucai River compartment of Furnas reservoir, state of Minas Gerais, Brazil. Seven 100 L samples were collected in sequence using a motor pump, and seven 70 L samples were collected in sequence using a plankton net (68 μm mesh size) in vertical hauls, to totalize 450 L, in three stations of the reservoir. Twelve monthly samplings were carried out over a year. The assessment of richness was made by analyzing the asymptotic behavior of the estimator curves. The samplings reached the asymptote from 350 L of collection with trawls and 400 L using a suction motor pump and reached the plateau on the 8th collection, which included both dry and rainy seasons. Regardless of the type of sampling, the volume of 400 L and eight sessions throughout the year is enough to register 90% of the zooplankton richness in the environment.

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