Distribution patterns in the genus Peltigera Willd

2003 ◽  
Vol 35 (4) ◽  
pp. 301-323 ◽  
Author(s):  
Isabel Martínez ◽  
Ana Rosa Burgaz ◽  
Orvo Vitikainen ◽  
Adrián Escudero
Keyword(s):  
Southern Hemisphere ◽  
Hierarchical Clustering ◽  
Endemic Species ◽  
Distribution Patterns ◽  
Similar Distribution ◽  
Number Of Species ◽  
Biogeographic Provinces ◽  
Floristic Elements ◽  
Clustering Approach ◽  
Holarctic Species

AbstractThe distribution of sixty-six Peltigera species in 230 biogeographic provinces or 40 regions are presented. A hierarchical clustering approach, used to identify clusters of species with similar distribution patterns (floristic elements), resolved four groups made up of Neotropical, Southern Hemisphere, Antarctic and mainly Holarctic species. The Holarctic Kingdom is species rich with the highest number of Peltigera species and also the highest number of endemic species; the Australian and Cape Kingdoms have the lowest number of species and endemics. The species rich provinces are briefly discussed.

scholarly journals The Sinking of Another Tristan da Cunha Moss Endemic and Its Phytogeographical Consequences

2020 ◽  
Vol 89 (3) ◽  
Author(s):  
Ryszard Ochyra ◽  
Vítězslav Plášek
Keyword(s):  
Atlantic Ocean ◽  
Southern Hemisphere ◽  
Endemic Species ◽  
Distribution Patterns ◽  
South Atlantic ◽  
South Atlantic Ocean ◽  
Original Material ◽  
The Third ◽  
Tristan Da Cunha ◽  
Central South

<p>The original material of <em>Isopterygium tristaniense </em>Dixon, an endemic species of the Tristan da Cunha archipelago in the central South Atlantic Ocean, is taxonomically evaluated and some details of its morphology are illustrated. The species is found to be conspecific with the Holarctic <em>Pseudotaxiphyllum elegans </em>(Brid.) Z.Iwats. and it is the third record of the species in the Southern Hemisphere. The global distribution of this species is reviewed and the distribution patterns of the South Atlantic mosses are briefly discussed.</p>

Catalogue of Blattaria (Insecta) from Argentina

Zootaxa ◽  
2019 ◽  
Vol 2726 (1) ◽  
pp. 1 ◽  
Author(s):  
FRANCISCO ANTONIO CRESPO ◽  
ALEJANDRA DEL CARMEN VALVERDE ◽  
MONICA SANDRA IGLESIAS
Keyword(s):  
Data Analysis ◽  
Endemic Species ◽  
Parsimony Analysis ◽  
Type Specimens ◽  
Incertae Sedis ◽  
Number Of Species ◽  
Biogeographic Provinces ◽  
Parsimony Analysis Of Endemicity

An updated catalogue is given of the cockroach species recorded in Argentina. It includes a list of species, their distribution in the different provinces of the country, the institutions in which the type specimens are deposited, and an updated list of references. The results indicate 87 (plus 2 incertae sedis) species, included in 4 families, 12 subfamilies and 40 currently recognized genera. A few species are widely spread across the country, but 35% (29 + 2 incertae sedis) are only known to occur in Argentina. The biotic affinities of the biogeographic provinces were studied. The data analysis corresponds with the major areas of influence: the Neotropical and Andean regions. A parsimony analysis of endemicity (PAE) was performed. The Parana Forest, Pampa and Chaco biogeographic provinces are supported by numerous endemic species. The families Blaberidae, Blattellidae and Phyllodromiidae include 90% of the species. The cockroach fauna from Argentina is still poorly known and the number of species undoubtedly is higher. The primary homonym of Chorisoneura minuta Rocha e Silva & Aguiar, 1977 was replaced with Chorisoneura rochaesilvae nom. n.

scholarly journals EZ-SEP: Extended Z-SEP Routing Protocol with Hierarchical Clustering Approach for Wireless Heterogeneous Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1021
Author(s):  
Zhanserik Nurlan ◽  
Tamara Zhukabayeva ◽  
Mohamed Othman
Keyword(s):  
Sensor Network ◽  
Hierarchical Clustering ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Cluster Head ◽  
Average Power ◽  
Base Station ◽  
Average Power Consumption ◽  
Clustering Approach ◽  
Heterogeneous Sensor Network

Wireless sensor networks (WSN) are networks of thousands of nodes installed in a defined physical environment to sense and monitor its state condition. The viability of such a network is directly dependent and limited by the power of batteries supplying the nodes of these networks, which represents a disadvantage of such a network. To improve and extend the life of WSNs, scientists around the world regularly develop various routing protocols that minimize and optimize the energy consumption of sensor network nodes. This article, introduces a new heterogeneous-aware routing protocol well known as Extended Z-SEP Routing Protocol with Hierarchical Clustering Approach for Wireless Heterogeneous Sensor Network or EZ-SEP, where the connection of nodes to a base station (BS) is done via a hybrid method, i.e., a certain amount of nodes communicate with the base station directly, while the remaining ones form a cluster to transfer data. Parameters of the field are unknown, and the field is partitioned into zones depending on the node energy. We reviewed the Z-SEP protocol concerning the election of the cluster head (CH) and its communication with BS and presented a novel extended mechanism for the selection of the CH based on remaining residual energy. In addition, EZ-SEP is weighted up using various estimation schemes such as base station repositioning, altering the field density, and variable nodes energy for comparison with the previous parent algorithm. EZ-SEP was executed and compared to routing protocols such as Z-SEP, SEP, and LEACH. The proposed algorithm performed using the MATLAB R2016b simulator. Simulation results show that our proposed extended version performs better than Z-SEP in the stability period due to an increase in the number of active nodes by 48%, in efficiency of network by the high packet delivery coefficient by 16% and optimizes the average power consumption compared to by 34.

Checklist of the Red Sea Fishes with delineation of the Gulf of Suez, Gulf of Aqaba, endemism and Lessepsian migrants

Zootaxa ◽  
2018 ◽  
Vol 4509 (1) ◽  
pp. 1 ◽  
Author(s):  
DANIEL GOLANI ◽  
RONALD FRICKE
Keyword(s):  
Red Sea ◽  
Endemic Species ◽  
Gulf Of Aqaba ◽  
Gulf Of Suez ◽  
Actual Number ◽  
Suez Gulf ◽  
Number Of Species ◽  
Main Basin ◽  
Lessepsian Migrants ◽  
Current List

The current checklist provides for each species of the Red Sea its records in the Gulf of Suez, Gulf of Aqaba, Red Sea main basin and its general distribution.This new checklist of Red Sea fishes enumerates 1207 species, representing 164 families. Of these, 797 species were recorded from the Gulf of Aqaba and 339 from the Gulf of Suez. The number of species from the Gulf of Suez is evidently lower than the actual number not including 27 Lessepsian (Red Sea) migrants to the Mediterranean that most likely occur in the Gulf. The current list includes 73 species that were newly described for science since the last checklist of 2010. The most specious Osteichthyes families are: Gobiidae (134 species), Labridae (66), Apogonidae (59), Serranidae (including Anthiadinae) (44), Blenniidae (42), Carangidae (38), Muraenidae (36), Pomacentridae (35), Syngnathidae (34), Scorpaenidae (24) and Lutjanidae (23). Among the families of Chondrichthyes, the most specious families are the Carcharhinidae (18 species) and Dasyatidae (11). The total number of endemic species in the Red Sea is 174 species, of these, 34 species are endemic to the Gulf of Aqaba and 8 to the Gulf of Suez. 

scholarly journals Unsupervised Hierarchical Clustering Approach for Tourism Market Segmentation Based on Crowdsourced Mobile Phone Data

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2972 ◽  
Author(s):  
Jorge Rodríguez ◽  
Ivana Semanjski ◽  
Sidharta Gautama ◽  
Nico Van de Weghe ◽  
Daniel Ochoa
Keyword(s):  
Hierarchical Clustering ◽  
Market Segmentation ◽  
Wearable Sensors ◽  
Essential Element ◽  
Cost Effective ◽  
Mobile Phone Data ◽  
Mobility Data ◽  
Tourism Management ◽  
Clustering Approach ◽  
Spatio Temporal

Understanding tourism related behavior and traveling patterns is an essential element of transportation system planning and tourism management at tourism destinations. Traditionally, tourism market segmentation is conducted to recognize tourist’s profiles for which personalized services can be provided. Today, the availability of wearable sensors, such as smartphones, holds the potential to tackle data collection problems of paper-based surveys and deliver relevant mobility data in a timely and cost-effective way. In this paper, we develop and implement a hierarchical clustering approach for smartphone geo-localized data to detect meaningful tourism related market segments. For these segments, we provide detailed insights into their characteristics and related mobility behavior. The applicability of the proposed approach is demonstrated on a use case in the Province of Zeeland in the Netherlands. We collected data from 1505 users during five months using the Zeeland app. The proposed approach resulted in two major clusters and four sub-clusters which we were able to interpret based on their spatio-temporal patterns and the recurrence of their visiting patterns to the region.

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