Search arXivSearch

arXiv · 2406.17004

Fair game: Urban free-ranging dogs balance resource use and risk aversion at seasonal fairs

Abstract

Seasonal fairs, bustling with human activity, provide a unique environment for exploring the intricate interplay between humans and free-ranging dogs. This study investigated these interactions during seasonal fairs in Nadia and Bardhaman districts, West Bengal, India. Across 13 fairground sites, we explore how human footfall and resource availability impact dog behavior, with a particular emphasis on cognitive mechanisms. Data collection occurred from December to March, comprising three sessions - initial, middle, and end, each on three randomly selected days. Employing spot census and scan sampling methods, observers documented GPS locations, sex, and behaviors of free-ranging dogs. Videos captured interactions within the fair environment, revealing cognitive processes. Our analysis revealed a notable increase in human activity during the middle phase, coinciding with a rise in dog abundance. Dogs predominantly foraged, exhibited gait, and remained vigilant, their numbers positively associated with resource availability. Proximity to the fairground significantly shaped dog behavior, indicating cognitive processes in decision-making. Dogs closer to the fair demonstrated consistent behavior, likely due to immediate resource access, implying sophisticated cognitive mapping and resource utilization. Conversely, dogs from farther distances exhibited lower consistency and heightened aggression, intensifying foraging, gait, and vigilance activities, suggesting cognitive adaptations to resource scarcity and competition. These findings underscore the intricate relationship between human activity, resource availability, and the behavior and cognition of free-ranging dogs during seasonal fairs. They offer insights into the ecological dynamics of free-ranging dogs in human-influenced landscapes, emphasizing the necessity for comprehensive management strategies in urban and peri-urban environments.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sourabh Biswas, Kalyan Ghosh, Hindolii Gope, Anindita Bhadra. 2024-06-26. Fair game: Urban free-ranging dogs balance resource use and risk aversion at seasonal fairs. https://arxiv.org/abs/2406.17004

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Phase transitions in microbial lineage trees

Microbial populations exhibit high cell-to-cell variability, which fundamentally shapes population behavior. A striking consequence is the existence of phase transitions, where small genetic or environmental changes trigger abrupt shifts in population dynamics. While biological phase transitions have often been proposed, connecting observed behavior to the underlying physics has remained challenging. We combine population genetics with statistical physics to show how phase transitions arise naturally in microbial populations. We highlight the existence of a first-order transition in a model of bacterial plasmid engineering and find a strict lower bound on the number of plasmids that can be stably maintained in a population.

q-bio.PE

Phylogenetic Inference and the Stickiness of Fréchet Means, via Precise Asymptotics of an Embedded Random Walk

A well-known phenomenon in statistical analyses of populations of phylogenetic trees in the Billera-Holmes-Vogtmann space is that the topology of the Fréchet mean tree can contain multifurcations (i.e., internal nodes with more than two children), which raises the practical question of whether this reflects a population-level branching structure (hard polytomy) or merely sampling variability in the data (soft polytomy). This is an instance of the more general phenomenon of "stickiness" in non-Euclidean statistics, whereby the sample Fréchet mean in certain non-positively curved stratified spaces becomes permanently trapped in a lower-dimensional stratum. In this work, we identify a particular multidimensional random walk embedded within the Fréchet mean process, and we show that the time at which stickiness occurs is determined by the largest last-passage time above zero of the coordinates of this random walk. Using this representation, we develop a fully nonparametric procedure for estimating the probability that trifurcations in a sample Fréchet mean tree will bifurcate at some future time if more observations are collected. Lastly, we apply our methodology to a problem in phylogenetics where we consider whether an observed trifurcation in the species tree of primates, glires, and tree shrews is genuinely trifurcated at the population level.

q-bio.PE

Coexistence coalitions in propagule disperser quasi-communities

Many natural ecosystems harbor large numbers of coexisting species competing for far fewer distinct resources, in apparent defiance of the competitive exclusion principle. Various mechanisms have been proposed to explain this apparent paradox, often pertaining to organisms with a two-stage sessile--propagule life cycle. Here we develop a stochastic model class for such propagule disperser communities that combines competition--colonization trade-offs, spatial heterogeneity, demographic stochasticity, as well as inherited trait variation, and recover several classical models as special or limiting cases. Using bifurcation analysis, we classify equilibrium coalitions near the extinction threshold and give sufficient conditions for their realization by macroscopic equilibria away from the threshold, bypassing the costly numerical computation of the actual equilibrium states. Illustrative examples examine the resulting trait distributions and coalition patterns, demonstrating the interactive effects of different coexistence mechanisms.

q-bio.PE