Home field advantage?

2003 ◽  
pp. 40-61
Keyword(s):  
Author(s):  
Paul Armand Asadourian ◽  
Alexander I. Murphy ◽  
Andrew Marano ◽  
Christine Hsu Rohde ◽  
June K. Wu

2021 ◽  
pp. 108300
Author(s):  
Roberta Pastorelli ◽  
Virginia Costagli ◽  
Claudia Forte ◽  
Carlo Viti ◽  
Bianca Rompato ◽  
...  

2013 ◽  
Vol 57 ◽  
pp. 320-326 ◽  
Author(s):  
Muhammad Imtiaz Rashid ◽  
Ron G.M. de Goede ◽  
Lijbert Brussaard ◽  
Egbert A. Lantinga

2009 ◽  
Vol 4 (3) ◽  
pp. 394-401 ◽  
Author(s):  
W. Christopher Winter ◽  
William R. Hammond ◽  
Noah H. Green ◽  
Zhiyong Zhang ◽  
Donald L. Bliwise

Purpose:The effect of travel on athletic performance has been investigated in previous studies. The purpose of this study was to investigate this effect on game outcome over 10 Major League Baseball (MLB) seasons.Methods:Using the convention that for every time zone crossed, synchronization requires 1 d, teams were assigned a daily number indicating the number of days away from circadian resynchronization. With these values, wins and losses for all games could be analyzed based on circadian values.Results:19,079 of the 24,121 games (79.1%) were played between teams at an equal circadian time. The remaining 5,042 games consisted of teams playing at different circadian times. The team with the circadian advantage won 2,620 games (52.0%, P = .005), a winning percentage that exceeded chance but was a smaller effect than home field advantage (53.7%, P < .0001). When teams held a 1-h circadian advantage, winning percentage was 51.7% (1,903–1,781). Winning percentage with a 2-h advantage was 51.8% (620–578) but increased to 60.6% (97–63) with a 3-h advantage (3-h advantage > 2-hadvantage = 1-h advantage, P = .036). Direction of advantage showed teams traveling from Western time zones to Eastern time zones were more likely to win (winning percentage = .530) than teams traveling from Eastern time zones to Western time zones (winning percentage = .509) with a winning odds 1.14 (P = .027).Conclusion:These results suggest that in the same way home field advantage influences likelihood of success, so too does the magnitude and direction of circadian advantage. Teams with greater circadian advantage were more likely to win.


Haematologica ◽  
2020 ◽  
Vol 105 (8) ◽  
pp. 1996-1998 ◽  
Author(s):  
Francis Ayombil ◽  
Rodney M. Camire

mBio ◽  
2019 ◽  
Vol 10 (5) ◽  
Author(s):  
Sara L. Jackrel ◽  
Jack A. Gilbert ◽  
J. Timothy Wootton

ABSTRACT Intraspecific variation in plant nutrient and defensive traits can regulate ecosystem-level processes, such as decomposition and transformation of plant carbon and nutrients. Understanding the regulatory mechanisms of ecosystem functions at local scales may facilitate predictions of the resistance and resilience of these functions to change. We evaluated how riverine bacterial community assembly and predicted gene content corresponded to decomposition rates of green leaf inputs from red alder trees into rivers of Washington State, USA. Previously, we documented accelerated decomposition rates for leaves originating from trees growing adjacent to the site of decomposition versus more distant locales, suggesting that microbes have a “home-field advantage” in decomposing local leaves. Here, we identified repeatable stages of bacterial succession, each defined by dominant taxa with predicted gene content associated with metabolic pathways relevant to the leaf characteristics and course of decomposition. “Home” leaves contained bacterial communities with distinct functional capacities to degrade aromatic compounds. Given known spatial variation of alder aromatics, this finding helps explain locally accelerated decomposition. Bacterial decomposer communities adjust to intraspecific variation in leaves at spatial scales of less than a kilometer, providing a mechanism for rapid response to changes in resources such as range shifts among plant genotypes. Such rapid responses among bacterial communities in turn may maintain high rates of carbon and nutrient cycling through aquatic ecosystems. IMPORTANCE Community ecologists have traditionally treated individuals within a species as uniform, with individual-level biodiversity rarely considered as a regulator of community and ecosystem function. In our study system, we have documented clear evidence of within-species variation causing local ecosystem adaptation to fluxes across ecosystem boundaries. In this striking pattern of a “home-field advantage,” leaves from individual trees tend to decompose most rapidly when immediately adjacent to their parent tree. Here, we merge community ecology experiments with microbiome approaches to describe how bacterial communities adjust to within-species variation in leaves over spatial scales of less than a kilometer. The results show that bacterial community compositional changes facilitate rapid ecosystem responses to environmental change, effectively maintaining high rates of carbon and nutrient cycling through ecosystems.


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