Do social networks of female northern long-eared bats vary with reproductive period and age?

Patriquin, Krista J.; Leonard, Madeleine; Broders, Hugh G.; Garroway, Colin J.

doi:10.1007/s00265-010-0905-4

Cited by 93 publications

(74 citation statements)

References 109 publications

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“…Again, our data agree with this prediction. Further, the temporal patterns of association observed in this study are similar to those observed for M. septentrionalis (Garroway and Broders 2007;Patriquin et al 2010), another species that exhibits a fission-fusion social structure. Although considerable additional research must be done to characterize the relationship between emergence order and social structure, this could be an especially fruitful area of study.…”

Section: Discussionsupporting

confidence: 71%

Nonrandom patterns of roost emergence in big brown bats,Eptesicus fuscus

2011

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In most colonial species of bats individuals emerge en masse from day roosts each evening to begin foraging. Although some aspects of emergence behavior are understood, one previously unexplored area is the specific order in which individuals emerge. The goal of our research was to determine if big brown bats, Eptesicus fuscus, fitted with passive integrated transponder tags emerge from roosts in buildings each evening in a nonrandom order. We assessed relative and absolute order of emergence to determine if order is concordant across nights and whether individuals consistently emerge in close association with specific roost mates. We found significant concordance in rank order among nights at all roosts. At 5 roosts concordance decreased as time between dates increased. Association rates between individuals were low, and temporal analyses revealed that associations rapidly degraded over time, indicating that bats do not emerge each evening consistently with the same group of roost mates. We discuss how social structure, information transfer, and/or individual energetic needs could be responsible for the observed nonrandom patterns of emergence. Our results suggest that emergence order represents behavioral information that traditionally has been overlooked and that might be useful for characterizing aspects of the ecology and social behavior of bats and other species with cryptic behavior.

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Section: Discussionsupporting

confidence: 71%

Nonrandom patterns of roost emergence in big brown bats,Eptesicus fuscus

2011

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“…GPS data loggers (e-obs GmbH, Munich, Germany; 24 g, 7-9% of body mass and 21 mm width Â 12 mm height frontal area) were attached by trimming the mid-dorsal fur below the shoulder blades and gluing (Sauer-Hautkleber, Manfred Sauer GmbH, Lobbach, Germany) the loggers to their back. Previous experience with other bat species shows that this attachment method ensures that loggers are shed after about 10 days without causing harm to the animals [26,27]. After attaching the tags, all animals were hand fed ad libitum with banana (Musa sp.)…”

Section: Materials and Methods (A) Study Species And Bat Tagging Procementioning

confidence: 99%

Commuting fruit bats beneficially modulate their flight in relation to wind

et al. 2014

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When animals move, their tracks may be strongly influenced by the motion of air or water, and this may affect the speed, energetics and prospects of the journey. Flying organisms, such as bats, may thus benefit from modifying their flight in response to the wind vector. Yet, practical difficulties have so far limited the understanding of this response for free-ranging bats. We tracked nine straw-coloured fruit bats (Eidolon helvum) that flew 42.5 + 17.5 km (mean + s.d.) to and from their roost near Accra, Ghana. Following detailed atmospheric simulations, we found that bats compensated for wind drift, as predicted under constant winds, and decreased their airspeed in response to tailwind assistance such that their groundspeed remained nearly constant. In addition, bats increased their airspeed with increasing crosswind speed. Overall, bats modulated their airspeed in relation to wind speed at different wind directions in a manner predicted by a two-dimensional optimal movement model. We conclude that sophisticated behavioural mechanisms to minimize the cost of transport under various wind conditions have evolved in bats. The bats' response to the wind is similar to that reported for migratory birds and insects, suggesting convergent evolution of flight behaviours in volant organisms.

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“…Recent studies have linked social position to home range (see Pinter-Wollman et al, 2013 for a review), social status (Sueur & Petit, 2008), age (Patriquin, Leonard, Broders, & Garroway, 2010), sex (Carter Seddon, Fr ere, Carter, & Goldizen 2013;Gilby & Wrangham, 2008), genetic relatedness (Archie, Moss, & Alberts, 2006;Carter, Seddon, Fr ere, Carter, & Goldizen, 2013;Schülke, Wenzel, & Ostner, 2013), the acquisition of social information (Aplin, Farine, Morand-Ferron, & Sheldon, 2012;Aplin et al, 2014;Claidiere, Messer, Hoppitt, & Whiten, 2013), disease status (Weber et al, 2013) and reproductive success (Wey et al, 2013). Additionally, there has been increasing recent interest in social network position as a personality trait or part of a wider behavioural syndrome (Krause, James, & Croft, 2010;Wilson, Krause, Dingemanse, & Krause, 2013).…”

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confidence: 96%