scholarly journals The Debris Distribution Model for Removal Planning of an Urbanized Estuarine Complex

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Walter Barrella ◽  
Edineia Farraboti ◽  
Amanda Aparecida Carminatto ◽  
Fabiola Andrea Chofard Adami ◽  
Matheus Marcos Rotundo ◽  
...  
Keyword(s):  
Spatial Pattern ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Urban Systems ◽  
Distribution Model ◽  
Circulation System ◽  
Essential Property ◽  
Deposition Zone ◽  
Mollusk Shells ◽  
Erosion Zone

Abstract We checked the spatial pattern of debris stranding at Praia de Santos (Brazil) in the first hour after the peak of high and low tide in summer and winter. We recorded and counted 20 types of debris (natural and anthropogenic) in 6 transects arranged in 3 zones along the beach (deposition, transport, and erosion). Canonical Correspondence Analysis (CCA) showed that buoyancy was an essential property in distinguishing debris stranding behaviours. The erosion zone, closer to the estuary showed that many mollusk shells, ropes and rocks, while plastics, styrofoam and fiber nylon were in the deposition zone. Throughout the estuary, we inspected the beach, identifying sections of origin and accumulation associated with the circulation system and currents. We propose the removal and recycling of debris from accumulation sites near highways and urban systems.

Environmental factors including management practices as correlates of weed community composition in spring seeded crops

1992 ◽  
Vol 70 (10) ◽  
pp. 1931-1939 ◽  
Author(s):  
M. R. T. Dale ◽  
A. G. Thomas ◽  
E. A. John
Keyword(s):  
Community Composition ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Environmental Variables ◽  
Management Practices ◽  
Geographic Region ◽  
Climatic Conditions ◽  
Weed Species ◽  
Weed Communities ◽  
Seed Crops

The relationship between the weed communities and environmental variables such as soil, crop, and management was investigated in two provinces of Canada. The frequencies of weed species were recorded in cereal and oilseed fields in Saskatchewan (2244 fields over 4 years) and Manitoba (864 fields over 3 years), Canada. Information on some of the physical characteristics of the fields and on the management practices imposed on them was also collected, in part by questionnaire. The two kinds of data were ordinated together using canonical correspondence analysis to assess the relationships between the species and the environmental variables. In the Saskatchewan data, there was a clear and consistent separation of the species into groups along an axis correlated with soil zone and the associated climatic gradient. In the Manitoba data, the same groups of species did not separate as clearly or as consistently, although geographic region was a major determinant of the weed communities. The greater variability may be due to the fact that the gradient of soil types is much more restricted in Manitoba and not as closely correlated with climatic conditions. In both provinces, culture practices were less important as correlates of the weed community composition than soil type or, to a certain extent, the previous crop. Key words: canonical correspondence analysis, cereal crops, oil seed crops.

scholarly journals Desmid algae (Charophyta: Conjugatophyceae) of Ekaterinburg, Middle Urals, Russia

2018 ◽  
Vol 55 ◽  
pp. 7-15
Author(s):  
Andrei S. Shakhmatov ◽  
Evgeniy V. Pavlovskiy ◽  
Alexander G. Paukov
Keyword(s):  
Species Composition ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Habitat Preferences ◽  
Water Bodies ◽  
Middle Urals ◽  
The Middle Urals

Species composition of desmid algae and their habitat preferences in water bodies of Ekaterinburg city were studied during the 2013–2017. Thirty-seven species and subspecific taxa which belong to 12 genera and 2 families were identified, of which 17 species are new for the eastern macroslope of the Middle Urals. Canonical correspondence analysis, which was performed to reveal habitat preferences, demonstrates that the majority of analyzed species prefer quarry lakes, ponds and overgrown lake shores, contrary to fens and rivers.

scholarly journals On the Use of Selected Ordination Techniques to Analyze the Parliamentary Election Results

2016 ◽  
Vol 3 (322) ◽  
Author(s):  
Małgorzata Misztal
Keyword(s):  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Redundancy Analysis ◽  
Social Research ◽  
Economic Research ◽  
Parliamentary Election ◽  
Ecological Research ◽  
Parliamentary Elections ◽  
Ordination Techniques ◽  
Election Results

Ordination techniques such as CCA (Canonical Correspondence Analysis) or RDA (Redundancy Analysis) are very popular in ecological research but almost completely unknown in, for example, socio-economic research. The goal of this paper is to concisely organize the concepts and terminology associated with ordination and to present the possibilities of its application in social research with an example of the analysis of the 2015 parliamentary elections results.

scholarly journals The vegetation types and management units of Goedverwacht farm in the mixed bushveld of the Northern Province, South Africa

Koedoe ◽  
1997 ◽  
Vol 40 (2) ◽  
Author(s):  
L. Breebaart ◽  
M. Deutschlander
Keyword(s):  
Plant Communities ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Environmental Gradient ◽  
Detrended Correspondence Analysis ◽  
Northern Province ◽  
Computer Programme ◽  
Data Set ◽  
Management Units ◽  
Floristic Data

An analysis of the vegetation of Goedverwacht farm in the mixed bushveld of the Northern Province is presented. Releves were compiled in 33 stratified random sample plots. Eight distinct plant communities were identified by means ofBraun-Blanquet pro-cedures. Detrended correspondence analysis (DCA) was applied to the floristic data set using the computer programme DECORANA (Detrended Correspondence Analysis) to determine a probable environmental gradient and to facilitate in the identification of management units. The computer programme CANOCO (Canonical Correspondence Analysis) was used to apply canonical correspondence analysis (CCA) to the floristic data set. Two management units were determined by means of vegetation ordinations and soil data. A classification, description and ecological interpretation of the plant communities as well as a description of the management units are presented.

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