Spatial and temporal distribution patterns of deep-sea mesozooplankton in the eastern Mediterranean ? indications of a climatically induced shift?

2007 ◽  
Vol 28 (2) ◽  
pp. 259-275 ◽  
Author(s):  
Rolf Koppelmann ◽  
Horst Weikert
Keyword(s):  
Deep Sea ◽  
Eastern Mediterranean ◽  
Temporal Distribution ◽  
Distribution Patterns ◽  
Spatial And Temporal Distribution

Delimitation of subtidal macrobenthos associations at the mouth of the Brisbane River

1976 ◽  
Vol 27 (2) ◽  
pp. 217 ◽  
Author(s):  
TS Hailstone
Keyword(s):  
Temporal Distribution ◽  
Community Analysis ◽  
Distribution Patterns ◽  
Spatial And Temporal Distribution ◽  
Hierarchical Analysis ◽  
Faunal Distribution

One hundred and fifty dredge samples of macrobenthic animals from the mouth of the Brisbane River were analysed by zonation analysis, Petersen-type community analysis, and hierarchical classificatory analysis. The methods were compared in terms of the faunal distribution patterns that they yielded. Hierarchical analysis gave the most acceptable results. Although the normal dendro- gram could be interpreted meaningfully to at least 16 sample groups, it has been interpreted to six groups here in preparation for subsequent, more detailed analyses. Spatial and temporal distribution patterns have been recognized and the consideration of the sample groupings as faunal states has been emphasized.

scholarly journals Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion

2019 ◽  
Vol 11 (15) ◽  
pp. 4032 ◽  
Author(s):  
Liu ◽  
Zhang ◽  
Long
Keyword(s):  
Land Use ◽  
Urban Space ◽  
Pattern Analysis ◽  
Temporal Distribution ◽  
Distribution Patterns ◽  
Mobile Phone Data ◽  
Spatial And Temporal Distribution ◽  
Strong Correlations ◽  
Variation Characteristics ◽  
Nanjing City

Urban vitality provides an important basis for evaluating urban development and spatial balance. In the era of big data, the quantitative analysis of urban vitality has become a research hotspot in the field of urban sustainability and planning research. However, time variation characteristics are often neglected, which leads to one-sidedness in the pattern analysis of urban vitality. In this paper, a method for extracting vitality areas and integrating spatiotemporal features clustering is proposed. The method is used to divide urban space into multiple vitality areas scientifically. The spatial and temporal distribution patterns of urban vitality areas are found, and the driving factors of various vitality patterns are analyzed by combining points of interest (POI)-based land use characteristics. To illustrate this method, this paper takes Nanjing city as an example. One week's worth of mobile phone data indicated that Nanjing has 10 and 8 vitality areas on weekdays and weekends, respectively. The spatial and temporal distribution patterns of the vitality areas and their correlation with land use were analyzed, which proved that POI density and entropy have strong correlations with urban vitality.

A SURVEY FOR THE AMBROSIA BEETLES TRYPODENDRON LINEATUM AND GNATHOTRICHUS RETUSUS (COLEOPTERA: SCOLYTIDAE) IN A SAWMILL USING PHEROMONE-BAITED TRAPS

1985 ◽  
Vol 117 (1) ◽  
pp. 49-55 ◽  
Author(s):  
T. L. Shore ◽  
J. A. McLean
Keyword(s):  
Temporal Distribution ◽  
Distribution Patterns ◽  
Mass Trapping ◽  
Spatial And Temporal Distribution ◽  
Trypodendron Lineatum ◽  
Ambrosia Beetles ◽  
Baited Traps

AbstractThe pheromones lineatum and (+)-sulcatol were used in traps in a sawmill to survey the ambrosia beetles Trypodendron lineatum (Olivier) and Gnathotrichus retusus (LeConte) respectively. Spatial and temporal distribution patterns for both species were identified. This information can be used for the establishment of a pheromone-based mass-trapping program for ambrosia beetles. The addition of ethanol and α-pinene to traps baited with (+)-sulcatol significantly increased the catches of G. retusus.

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