Te. Curk , W. Rast , R. Portas , J. Kohles , G. Shatumbu , C. Cloete , Ti. Curk , V. Radchuk , O. Aschenborn , J. Melzheimer
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引用次数: 0
Abstract
Utilizing social information during foraging, wherein individuals observe how others interact with their environment rather than relying solely on individually acquired information, is a widely used strategy across the animal kingdom. Nevertheless, our understanding of how different environments shape the extent of social information use remains limited. Here, we assessed the advantages and disadvantages of contrasting foraging strategies in different environments in terms of vulture and carcass density, at the individual, population and ecosystem level. We built an agent-based model to simulate three foraging strategies of African white-backed vultures in Namibia: nonsocial, local enhancement, and chains of vultures. This model incorporated field-derived parameters including vulture and carcass density, and flight characteristics of foraging vultures. From the model outputs, we calculated searching efficiency, competition for resources, and scavenging efficiency and compared the results with observed field data. The results highlight social foraging strategies as overall more advantageous than the nonsocial strategy. The chains of vultures strategy outperformed local enhancement only in terms of searching efficiency under high vulture densities. Furthermore, our findings suggest that vultures in our study area likely adopt diverse foraging strategies influenced by variations in vulture and carcass density. The model developed in this study is potentially applicable beyond the specific study site, rendering it a versatile tool for investigating diverse species and environments. Exploring the role of social foraging holds significant implications for the long-term sustainability of populations and ecosystem processes.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).