One hundred and seventy-five new species of Graphidaceae: closing the gap or a drop in the bucket?

Phytotaxa ◽  
2014 ◽  
Vol 189 (1) ◽  
pp. 7 ◽  
Author(s):  
ROBERT LÜCKING ◽  
MARK K. JOHNSTON ◽  
ANDRÉ APTROOT ◽  
EKAPHAN KRAICHAK ◽  
JAMES C. LENDEMER ◽  
...  

Recent studies of the global diversity of the lichenized fungal family Graphidaceae suggest that there are a large number of species remaining to be discovered. No less than 640 species have been described since 2002, including 175 new species introduced in a collaborative global effort in a single issue in this journal. These findings suggest that the largest family of tropical crustose lichens may have an even higher number of species than Parmeliaceae. To estimate whether the discovery of 175 new species is a significant step forward in cataloguing extant diversity in this family, we employed a parametric method to predict global species richness of Graphidaceae using a GIS-based grid map approach. The model employs linear regression between observed species richness and sample score and vegetation composition per grid to predict individual grid species richness, and interpolation of species grid distributions to predict global species richness. We also applied a non-parametric species-area curve approach and non-parametric species richness estimators (Chao, Jackknife, Bootstrap) to compare the results from the different methods. Our approach resulted in a prediction of 4,330 species of Graphidaceae, including approximately 3,500 (sub-)tropical species in the core subfamilies Fissurinoideae, Graphidoideae, Redonographoideae, plus 125 species restricted to extratropical regions (outside the zone between 30° northern and 30° southern latitude) and 700 species in subfamily Gomphilloideae. Currently, nearly 2,500 species are known in the family, including species not yet formally described. Thus, our model suggests that even after describing 175 species in this issue and with another approximately 140 awaiting publication, the number of species still to be discovered and described is more than 1,800, and much work remains to be done to close this substantial gap. Based on our approach, we predict that most of this undiscovered diversity is to be found in Mexico, the northern Andean region, the eastern Amazon and central and southern Brazil, tropical West Africa, continental Southeast Asia, Indonesia, and Papua New Guinea.

1998 ◽  
Vol 76 (2) ◽  
pp. 321-331 ◽  
Author(s):  
Frédéric Médail ◽  
Éric Vidal

The effects of physiographic variables (area, isolation, elevation, and substrate) and habitat diversity on plant species richness and composition have been investigated on some Mediterranean islands (southeastern France). The number of species - area relationship is significant but there are more diverse vegetation patterns on smallest islands (area smaller than 3.5 ha and, ultimately, 0.2 ha). Although the species composition is positively correlated to the distance from the continent, the effect of isolation is not so obvious because of the small distance of these continental islands from the continent. Some islands nearest to shore show very different plant species composition, suggesting a nonselective plant dispersal through some narrow stretches of sea. Habitat diversity represents one of the major explanatory factors of the species richness; nevertheless, it is not possible to settle between the two hypotheses effect of habitat diversity versus effect of area per se because of the correlation between the two factors. Key words: Mediterranean islands, insular biogeography, number of species - area relationship, isolation, habitat diversity, islets.


2020 ◽  
Vol 12 (3) ◽  
Author(s):  
Caio Silva Dos Anjos ◽  
Lucas Rocha Milani ◽  
Marcos Magalhães De Souza

There are few studies on Odonata communities in Brazil, even in its most deeply studied states, such as Minas Gerais. Therefore, it is proposed the presentation of results on the Odonata species richness of Parque Estadual do Ibitipoca (Ibitipoca State Park), located at the Zona da Mata region in the Minas Gerais state, Brazil. This Conservation Unit is considered a priority area for the conservation of the state’s invertebrates. The objective of this study was to know the number of species within the area. 100 hours of sampling were carried out, distributed amongst five campaigns of four consecutive days between  November 2016 and July 2017. There were recorded 20 different species, including a new record for the state and one potential new species. Species richness was low due to the sampling being focused exclusively on lotic systems, and also to the environment’s homogeneity. Despite the low number of species, Parque Estadual do Ibitipoca is relevant to the conservation of the Minas Gerais state’s Odonata.


Fractals ◽  
1999 ◽  
Vol 07 (04) ◽  
pp. 353-357 ◽  
Author(s):  
KAZUHITO YAMASAKI ◽  
SATOSHI CHIBA ◽  
HIROYUKI NAGAHAMA

We introduce a new immigration model which merges two aspects of island length. One aspect is determination of colonizer's chance of reaching recipient island, and the other is constraint on the statistical self-affinity (anisotropy) of island shapes. This immigration model derives the famous power law on species-area (SA) relation, which shows that the number of species on the anisotropic island is constrained by not only the size of the island area but also the shape of the island. From this viewpoint, we analyze an SA curve of the land snail fauna in Ryukyu arc, Japan. Moreover, we show that species of the most previous studies have immigrated along the island chain due to the stepping-stone dispersal.


Zootaxa ◽  
2015 ◽  
Vol 3948 (3) ◽  
pp. 573
Author(s):  
ALEJANDRA GONZÁLEZ-MORENO ◽  
SANTIAGO BORDERA ◽  
ILARI EERIKKI SÄÄKSJÄRVI

PhytoKeys ◽  
2020 ◽  
Vol 138 ◽  
pp. 49-112 ◽  
Author(s):  
Ye Lwin Aung ◽  
Aye Thin Mu ◽  
Mung Htoi Aung ◽  
Qiang Liu ◽  
Xiao-Hua Jin

Myanmar is situated in Southeast Asia, where species richness and diversity are very high. Myanmar orchid flora is very rich, but still poorly known because botanical explorations have sharply decreased in Myanmar since 1950. The present study provides a checklist of Myanmar orchid flora which includes 1040 species and 151 genera currently known from Myanmar, based on the herbarium specimens, literature and online databases. The number of species is increased by approximately 200 species more than that given in the checklist of Kress et al. (2003), mainly due to recent discoveries of new species to science and new records for Myanmar. There are 76 endemic species of Orchidaceae in Myanmar. It is estimated that ca. 150–300 species still remain as unidentified and are expected to be discovered in further studies on Myanmar orchid flora.


Author(s):  
Jindřich Roháček

The knowledge of Anthomyzidae (Diptera: Acalyptratae) in the East Palaearctic area is extended by new taxonomic, biological and distributional information. Two new species of the genus Anthomyza Fallén, 1810, viz. A. aspina sp. nov. (Russia: Far East) and A. breviclavus sp. nov. (North Korea), and a species tentatively affi liated with the genus Zealantha Roháček, 2007, viz. Z. fasciolata sp. nov. (Japan) are described. Although all are based only on females, they are distinctive species unmistakably recognized by external characters and structures of the female postabdomen. Relationships of all new species are discussed. Records of 24 species are presented; 3 species are recorded from the E. Palaearctic, 1 species from continental Asia, 3 species from North Korea and a number of species from particular parts of E. Palaearctic Russia for the fi rst time. An updated checklist of East Palaearctic Anthomyzidae is presented, now comprising 13 genera and 44 species. Taxonomic notes for Anthomyza clara Roháček, 2006, Fungomyza cercata Roháček, 2009 and some other species, and new biological information for Anthomyza trifurca Sueyoshi & Roháček, 2003 are given. Longitudinal dark patterning of the wing found in A. breviclavus sp. nov., represents the fi fth lineage of Anthomyzidae in which this type of pattern has evolved independently. Species richness of Anthomyzidae in the E. Palaearctic is discussed with an estimate of about 60 species occurring in the area.


Zootaxa ◽  
2012 ◽  
Vol 3504 (1) ◽  
pp. 1 ◽  
Author(s):  
ALESSANDRE PEREIRA-COLAVITE ◽  
CLAUDIO J. B. DE CARVALHO

Neomuscina Townsend includes 41 species distributed throughout the Nearctic and Neotropical Regions. Although the genus has a large number of species, it has been ignored and its taxonomy is confusing and has many flaws. In this work we analyzed the following species recorded for Brazil: Neomuscina atincta Snyder, N. atincticosta Snyder, N. capalta Snyder, N. currani Snyder, N. douradensis Lopes & Khouri, N. goianensis Lopes & Khouri, N. inflexa (Stein), N. instabilis Snyder, N. mediana Snyder, N. mimosa Lopes & Khouri, N. neosimilis Snyder, N. nigricosta Snyder, N. paramediana Lopes & Khouri, N. pictipennis pictipennis (Bigot), N. ponti Lopes & Khouri, N. sanespra Snyder, N. schadei Snyder, N. similata Snyder, N. stabilis (Stein), N. transporta Snyder, N. vitoriae Lopes & Khouri and N. zosteris (Shannon & Del Ponte). Neomuscina nigricosta and N. transporta are new distribution records for Brazil. Three new species are described: Neomuscina anajeensis sp. nov. from Anagé (Bahia), Neomuscina maculata sp. nov. from Botelhos (Minas Gerais) and Neomuscina snyderi sp. nov. from Mata de São João (Bahia). An identification key based on the morphological characters of both male and female is provided. Species distributions are discussed and updated, and the number of species now recorded for Brazil is 29.


Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1169
Author(s):  
Juan Bógalo ◽  
Pilar Poncela ◽  
Eva Senra

Real-time monitoring of the economy is based on activity indicators that show regular patterns such as trends, seasonality and business cycles. However, parametric and non-parametric methods for signal extraction produce revisions at the end of the sample, and the arrival of new data makes it difficult to assess the state of the economy. In this paper, we compare two signal extraction procedures: Circulant Singular Spectral Analysis, CiSSA, a non-parametric technique in which we can extract components associated with desired frequencies, and a parametric method based on ARIMA modelling. Through a set of simulations, we show that the magnitude of the revisions produced by CiSSA converges to zero quicker, and it is smaller than that of the alternative procedure.


Author(s):  
Katherine C Kral-O’Brien ◽  
Adrienne K Antonsen ◽  
Torre J Hovick ◽  
Ryan F Limb ◽  
Jason P Harmon

Abstract Many methods are used to survey butterfly populations, with line transect and area surveys being prominent. Observers are typically limited to search within 5 or 10 m from the line, while observers are unrestricted in larger specified search regions in area surveys. Although methods differ slightly, the selection is often based on producing defendable data for conservation, maximizing data quality, and minimizing effort. To guide method selection, we compared butterfly surveys using 1) line versus area methods and 2) varying width transects (5 m, 10 m, or unrestricted) using count data from surveys in North Dakota from 2015 to 2018. Between line and area surveys, we detected more individuals with area surveys, even when accounting for effort. However, both methods accumulated new species at similar rates. When comparing transect methodology, we detected nearly 60% more individuals and nine more species when transect width increased from 5 m to unrestricted, despite similar effort across methodology. Overall, we found line surveys slightly less efficient at detecting individuals, but they collected similar species richness to area surveys when accounting for effort. Additionally, line surveys allow the use of unrestricted-width transects with distance sampling procedures, which were more effective at detecting species and individuals while providing a means to correct count data over the same transect length. Methods that reduce effort and accurately depict communities are especially important for conservation when long-term datasets are unavailable.


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