![]() ![]() We found that social information use contributed to population stability and persistence by reducing predation-related per capita mortality and raising equilibrium population sizes when predator detection ability reached a sufficient level. Using an individual-based model, we investigated how the detection and spread of adaptive antipredator behaviour may cascade to changes in the demographic performance of randomly moving (i.e., non-grouping) prey. The exploitation of inadvertently produced social cues may not only modify individual behaviour but also fundamentally influence population dynamics and species interactions. Our study provides hypothetical mechanisms about how temporary local densities may allow information diffusion about predation threats among conspecifics and facilitate population stability and persistence in non-grouping animals. When prey exploited social cues in the presence of high predation risk, the observed detection networks consisted of a large number of connected components with small sizes and small ego networks this resulted in efficient information spread among connected individuals in the detection networks. Moreover, it could substantially contribute to population survival under high predation pressure, but this effect strongly depended on the level of predator detection ability. We found that ISI use was among the most influential model parameters affecting prey abundance and increased equilibrium population sizes in most examined scenarios. We qualitatively assessed how ISI use may affect prey population size when cue detection was associated with different probabilities and fitness costs, and characterised the structural properties of the emerging detection networks that would provide pathways for information spread in prey. In this study, we built an individual-based model where predator avoidance behaviour could spread among randomly moving prey through the network of nearby observers. However, we know little about how such effects may arise when the prey population lacks social structure beyond the spatiotemporal autocorrelation originating from the random movement of individuals. Economic Geography will continue to stress important contributions to the ongoing development of theory in global economic geography.Inadvertent social information (ISI) use, i.e., the exploitation of social cues including the presence and behaviour of others, has been predicted to mediate population-level processes even in the absence of cohesive grouping. Articles in the past decade chronicle the significant upsurge of scholarly interest in economic geography during a period of massive change, rampant technological growth, and realignment in the global economy. Each issue includes feature articles and book reviews. In keeping with the international scope and impact of this work, Economic Geography focuses upon exciting new research ideas and analyses emerging from scholarly networks worldwide. ![]() Highlighting the publication of theoretically-based empirical articles and case studies of significant theoretical trends that are occurring within the field of economic geography, the journal serves as a forum for high-quality and innovative scholarship. If diffusion theory is to maintain its explanatory power in the face of continued time-space convergence, it must recognize the importance of adaptation processes in innovation diffusion and place greater emphasis on the role that local context plays in shaping innovation acceptance.Įconomic Geography, published quarterly, is a leading English-language journal devoted to the study of economic geography and is widely read by academics and professionals around the world. Variations in local factors affecting receptiveness provide a better explanation of their diffusion than does position in a communications network. This expectation is confirmed by the examples of residential air conditioning and home food freezers, both innovations whose functions and technology were well known before they began their diffusion. Innovations that are adapted to local conditions will be well-received and likely adopted those not adapted will be rejected. The adoption pattern of an innovation that is widely known and widely available at the very time it is diffusing is likely to be shaped by place-to-place differences in receptiveness to the innovation, rather than by the differential availability of information. Conversely, the importance of local conditions increases. Yet as time-space convergence continues and the world becomes increasingly well-connected, the ability of information movement to shape patterns of innovation adoption weakens. Current models of spatial diffusion largely overlook the role that local context plays in shaping diffusion patterns, emphasizing instead the importance of information flow and innovation delivery systems.
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