The Light Requirement for Germination of Aster Pilosus Seeds: Temporal Aspects and Ecological Consequences

1985 ◽  
Vol 73 (3) ◽  
pp. 765 ◽  
Author(s):  
J. M. Baskin ◽  
C. C. Baskin
Keyword(s):  
Ecological Consequences ◽  
Light Requirement ◽  
Temporal Aspects ◽  
Aster Pilosus

Induction of a light requirement during seed development and its ecological consequences

Nature ◽  
1981 ◽  
Vol 291 (5816) ◽  
pp. 583-585 ◽  
Author(s):  
E. G. Cresswell ◽  
J. P. Grime
Keyword(s):  
Seed Development ◽  
Ecological Consequences ◽  
Light Requirement

Annotation and Analyses of Temporal Aspects of Spoken Fluency

2013 ◽  
Vol 26 (3) ◽  
pp. 644-661 ◽  
Author(s):  
Heather Hilton
Keyword(s):  
Temporal Aspects

A Review On RandD Efforts In Assessing The Traffic Generated Noise In Spatial Temporal Aspects On Highways

2011 ◽  
Vol 1 (3) ◽  
pp. 31-37
Author(s):  
G.S. Vij ◽  
Shraddha Garg
Keyword(s):  
Temporal Aspects

SUBDUED ECOLOGICAL CONSEQUENCES OF THE LATE PALEOZOIC ICE AGE

2016 ◽  
Author(s):  
Matthew G. Powell ◽  
◽  
Ian-Michael Taylor-Benjamin
Keyword(s):  
Ice Age ◽  
Late Paleozoic ◽  
Ecological Consequences ◽  
Late Paleozoic Ice Age

Personality and behavioral syndromes in insects and spiders

2018 ◽  
Author(s):  
Carl N. Keiser ◽  
James L.L. Lichtenstein ◽  
Colin M. Wright ◽  
Gregory T. Chism ◽  
Jonathan N. Pruitt
Keyword(s):  
Animal Behavior ◽  
Individual Variation ◽  
Insect Behavior ◽  
Behavioral Syndromes ◽  
Ecological Consequences ◽  
Behavioral Variation ◽  
Terrestrial Arthropods ◽  
Functional Differences ◽  
Behavioral Tendencies ◽  
Animal Personalities

The field of animal behavior has experienced a surge of studies focusing on functional differences among individuals in their behavioral tendencies (‘animal personalities’) and the relationships between different axes of behavioral variation (‘behavioral syndromes’). Many important developments in this field have arisen through research using insects and other terrestrial arthropods, in part, because they present the opportunity to test hypotheses not accessible in other taxa. This chapter reviews how studies on insects and spiders have advanced the study of animal personalities by describing the mechanisms underlying the emergence of individual variation and their ecological consequences. Furthermore, studies accounting for animal personalities can expand our understanding of phenomena in insect science like metamorphosis, eusociality, and applied insect behavior. In addition, this chapter serves to highlight some of the most exciting issues at the forefront of our field and to inspire entomologists and behaviorists alike to seek the answers to these questions.

Temporal Aspects of the VO2Response at the Power Output Associated with VO2peak in Well Trained Cyclists—Implications for Interval Training Prescription

2004 ◽  
Vol 75 (4) ◽  
pp. 423-428 ◽  
Author(s):  
Paul B. Laursen ◽  
Cecilia M. Shing ◽  
David G. Jenkins
Keyword(s):  
Power Output ◽  
Interval Training ◽  
Temporal Aspects

scholarly journals Discovering Spatial-Temporal Indication of Crime Association (STICA)

2021 ◽  
Vol 10 (2) ◽  
pp. 67
Author(s):  
Chao Jiang ◽  
Lin Liu ◽  
Xiaoxing Qin ◽  
Suhong Zhou ◽  
Kai Liu
Keyword(s):  
Pattern Analysis ◽  
Kernel Density ◽  
Time Varying ◽  
Contributing Factors ◽  
Crime Patterns ◽  
Temporal Aspects ◽  
Thematic Mapping ◽  
New Vision ◽  
Specific Implementation ◽  
Further Development

The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal localities of pertinent factors’ influence ranges. This paper proposes an approach, Spatial-Temporal Indication of Crime Association (STICA), to facilitate identifying the main contributing factors of crime, which are operated at diverse spatial-temporal scales. The method’s rationale is to progressively discern the spatial zones with diverse temporal crime patterns. A specific implementation of the STICA approach, by combining kernel density estimation, k-median-centers clustering, and thematic mapping, is applied to understand the burglary in an urban peninsula, China. The empirical findings include: (1) both the main time-stable and time-varying factors of crime can be indicated with the disparities of temporal crime patterns for different spatial zones based on the STICA results. (2) The spatial range of these factors can enlighten the understanding of interactions for generating crime patterns, especially with regards to how temporally transient and spatially global factors can produce a locally crime-ridden zone through the mediation of stable factors. (3) The STICA results can reveal the spatially contextual effects of stable factors, which are of great value to improve modeling crime patterns. As demonstrated, the STICA approach is effective in exploring contributing factors of crime and has shown great potential for providing a new vision in place-based crime research.

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