Interspecific information transfer influences animal community structure

Goodale, Eben; Beauchamp, Guy; Magrath, Robert D.; Nieh, James C.; Ruxton, Graeme D.

doi:10.1016/j.tree.2010.01.002

Cited by 321 publications

(368 citation statements)

References 87 publications

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“…The concept of communication networks has previously been applied to alarm calls used in multispecies foraging flocks (52), leading to the proposal that these flocks are structured by interspecific communication (53). In contrast, our results provide evidence that communication networks may apply more generally to the primary long-distance signals of entire communities (54).…”

Section: Discussionmentioning

confidence: 47%

Species interactions and the structure of complex communication networks

Tobias

Planquè

Cram

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

123

114

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A universal challenge faced by animal species is the need to communicate effectively against a backdrop of heterospecific signals. It is often assumed that this need results in signal divergence to minimize interference among community members, yet previous support for this idea is mixed, and few studies have tested the opposing hypothesis that interactions among competing species promote widespread convergence in signaling regimes. Using a null model approach to analyze acoustic signaling in 307 species of Amazonian birds, we show that closely related lineages signal together in time and space and that acoustic signals given in temporal or spatial proximity are more similar in design than expected by chance. These results challenge the view that multispecies choruses are structured by temporal, spatial, or acoustic partitioning and instead suggest that social communication between competing species can fundamentally organize signaling assemblages, leading to the opposite pattern of clustering in signals and signaling behavior.

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Section: Discussionmentioning

confidence: 47%

Species interactions and the structure of complex communication networks

Tobias

Planquè

Cram

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

123

114

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“…typically neglected to formally consider that individuals, particularly those within a species or trophic guild, influence one another's behavior [18,20]. Here, we fill this gap by highlighting how the use of social information can substantially affect population and community dynamics.…”

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confidence: 98%

“…Social transmission of information about resources or danger occurs within species, as in the iconic examples of single-species flocks of birds or schools of fish; however, social information is also often transmitted among nearby individuals of different and sometimes distantly related species [1,4,18] (Box 1). For over a decade, seminal review papers have highlighted the evolutionary and ecological mechanisms that underlie social information use, and how this widespread phenomenon can affect animal behavior [1][2][3][4]18].…”

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confidence: 99%

“…For over a decade, seminal review papers have highlighted the evolutionary and ecological mechanisms that underlie social information use, and how this widespread phenomenon can affect animal behavior [1][2][3][4]18]. From these works and subsequent publications discussed below, it is clear that social information, shared within or across species, can have profound effects on animal behaviors and, in turn, can directly affect individual fitness [9,19] (Figure 1).…”

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confidence: 99%

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Social Information Links Individual Behavior to Population and Community Dynamics

Gil

Hein

Spiegel

et al. 2018

Trends in Ecology & Evolution

136

198

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“…Coactive patterns, as defined by Hutchinson (30), arise from interactions between species (e.g., competition, niche partitioning, predation, and parasitism), whereas social patterns are "determined by signalling of various kinds, leading either to spacing or aggregation" (e.g., facilitated foraging, local enhancement, predator avoidance, territoriality). Coactive patterns have been widely described in the marine realm (31)(32)(33)(34), and similarly, social patterns are seen within taxa (35,36), and among them (37,38). As fishing itself is a predator-prey interaction with strong social pressures among fishermen, patterns of fishing effort within a fishery are also forced by social and coactive processes at sub-100-km 2 scales (39-41).…”

Section: Implication Of Scale-dependent Drivers Of Ecosystem Structurmentioning

confidence: 94%

Dynamic ocean management increases the efficiency and efficacy of fisheries management

Dunn

Maxwell

Boustany

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

172

123

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In response to the inherent dynamic nature of the oceans and continuing difficulty in managing ecosystem impacts of fisheries, interest in the concept of dynamic ocean management, or realtime management of ocean resources, has accelerated in the last several years. However, scientists have yet to quantitatively assess the efficiency of dynamic management over static management. Of particular interest is how scale influences effectiveness, both in terms of how it reflects underlying ecological processes and how this relates to potential efficiency gains. Here, we address the empirical evidence gap and further the ecological theory underpinning dynamic management. We illustrate, through the simulation of closures across a range of spatiotemporal scales, that dynamic ocean management can address previously intractable problems at scales associated with coactive and social patterns (e.g., competition, predation, niche partitioning, parasitism, and social aggregations). Furthermore, it can significantly improve the efficiency of management: as the resolution of the closures used increases (i.e., as the closures become more targeted), the percentage of target catch forgone or displaced decreases, the reduction ratio (bycatch/catch) increases, and the total time-area required to achieve the desired bycatch reduction decreases. In the scenario examined, coarser scale management measures (annual time-area closures and monthly full-fishery closures) would displace up to four to five times the target catch and require 100-200 times more square kilometer-days of closure than dynamic measures (gridbased closures and move-on rules). To achieve similar reductions in juvenile bycatch, the fishery would forgo or displace between USD 15-52 million in landings using a static approach over a dynamic management approach.dynamic ocean management | real-time management | ecosystem-based fisheries management | spatiotemporal | bycatch A lthough traditional fisheries management has focused on assessing the health of individual fish stocks, there has been a strong trend over the past two decades toward the incorporation of ecosystem components into fisheries management (1, 2). Ecosystem-based fisheries management (EBFM) seeks to meet multiple, potentially conflicting goals across ecological, economic, and social objectives (3, 4). Meeting these goals is made more complex in marine ecosystems due to the inherent dynamic nature of the oceans. In response to continuing difficulty in managing the ecosystem impacts of fisheries in a highly dynamic environment, including bycatch (i.e., the accidental interaction of fishing gear with nontarget species), interest in the concept of dynamic ocean management (DOM) has accelerated (5-10). Maxwell et al. (8) define dynamic management as "management that changes in space and time in response to the shifting nature of the ocean and its users based on the integration of new biological, oceanographic, social and/or economic data in near real-time" (8). Dynamic management reflects advancement in our abi...

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Interspecific information transfer influences animal community structure

Cited by 321 publications

References 87 publications

Species interactions and the structure of complex communication networks

Species interactions and the structure of complex communication networks

Social Information Links Individual Behavior to Population and Community Dynamics

Dynamic ocean management increases the efficiency and efficacy of fisheries management

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