scholarly journals Plant Diversity Study on Kelekal Protected Forest in Debre Markos Town District, East Gojjam, Amhara Region, Ethiopia

2019 ◽  
Vol 4 (2) ◽  
pp. p98
Author(s):  
Haimanot Reta ◽  
Sebsebe Demissew ◽  
Zemede Asfaw

This research was aimed to investigate floristic composition and structure of Kelekal protected forest established since 1999. For plant data collection, 33 different quadrnts having 400 m2 along seven different line transect were used. The structural data like Frequencies, Density, DBH, Hight, Relative dominance, Relative density and IVI values were calculated for each species and for the selectedwoody plants. The woody plant species having DBH?2.5 cm and height greater than 2.5 m were measured. A hierarchical cluster analysis was performed to classify different plant communities. Shannon winner diversity indices and Sorensen’s similarity indices were used to compare the identified plant communities. Endemic and economically important plants were identified from Flora of Ethiopia and Eritrea books. This research resulted 103 different vascular plants. Eight (7.77%) plants are endemic and the “K” partitioning in the R program using hierarchical cluster analysis resulted three-plant community types. The general distribution pattern of these woody plants at different DBH and height classes showed an inverted Jshape pattern. Four different population patterns were investigated from the density of these species recorded at different DBH class. The result of the structural data provides pertinent information for future forest management techniques in Kelekal protected forest.

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1590
Author(s):  
Ricardo Quinto Canas ◽  
Ana Cano-Ortiz ◽  
Giovanni Spampinato ◽  
Sara del Río ◽  
Mauro Raposo ◽  
...  

The rocky habitats of southern Portugal are ecosystems with extreme xericity conditions, associated with special abiotic strains. In these unstable ecological conditions, a considerable diversity of plant communities occurs. The objective of this study, carried out in the Algarve and Monchique, and the Mariánica Range biogeographical sectors, is to compare chasmo-chomophytic communities of the southwestern Iberian Peninsula, using a phytosociological approach (Braun–Blanquet methodology) and numerical analysis (hierarchical cluster analysis). From these results, two new communities were identified, Sanguisorbo rupicolae-Dianthetum crassipedis and Antirrhinetum onubensis, as a result of floristic and biogeographical differences from other associations already described within the alliances Rumici indurati-Dianthion lusitani and Calendulo lusitanicae-Antirrhinion linkiani, both included in the Phagnalo saxatilis-Rumicetea indurate class.


1981 ◽  
Vol 59 (9) ◽  
pp. 1623-1639 ◽  
Author(s):  
Brian D. Amiro ◽  
Gerard M. Courtin

During the past century, forests in the vicinity of Sudbury, Ont., have been either destroyed or disturbed by logging, fires, and industrial pollution. These factors have produced an atypical mosaic of vegetation communities. This study investigates the patterns of plant communities that characterize this disturbed ecosystem.Nine major plant communities were found to predominate. These were determined by classification of the tree stratum with the aid of a hierarchical cluster analysis that was applied to data gathered from 142 quantitatively sampled field sites.These communities tend to be regulated by topography, soils, and distance from pollution sources. They can be grouped into two main types. The barren, birch transition and maple transition communities form a grouping that is attributed to pollution whereas the remaining six types are typical of the hemlock – white pine – northern hardwoods forest. The first three communities are restricted to the industrially disturbed region near Sudbury. Since they are peculiar, their dynamics are unknown and require further autecological research. Such an investigation could provide valuable insights into the pattern of succession in an ecosystem that is regulated by human activities.


Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.


2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.


2019 ◽  
Vol 15 (S367) ◽  
pp. 397-399
Author(s):  
Arturo Colantonio ◽  
Irene Marzoli ◽  
Italo Testa ◽  
Emanuella Puddu

AbstractIn this study, we identify patterns among students beliefs and ideas in cosmology, in order to frame meaningful and more effective teaching activities in this amazing content area. We involve a convenience sample of 432 high school students. We analyze students’ responses to an open-ended questionnaire with a non-hierarchical cluster analysis using the k-means algorithm.


Author(s):  
Swarna Rajagopalan ◽  
Wesley Baker ◽  
Elizabeth Mahanna-Gabrielli ◽  
Andrew William Kofke ◽  
Ramani Balu

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