scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Cross-Context Responses to Novelty in Rural and Urban Small Mammals

About: This article is published in Frontiers in Ecology and Evolution.The article was published on 2021-10-28 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Novelty & Context (language use).

Content maybe subject to copyright    Report

Citations
More filters
Posted ContentDOI
16 Mar 2023-bioRxiv
TL;DR: In this article , a principal component analysis of urban and other landscape variables (e.g., road, greenspace, and human population density) revealed that urbanisation was significantly and positively related to the likelihood of foxes touching, but not exploiting, the objects.
Abstract: Urbanisation is the fastest form of landscape transformation on the planet, but researchers’ understanding of the relationships between urbanisation and animal adaptability is still in its infancy. In terms of foraging, bold and innovative behaviours are proposed to help urban animals access, utilise, and exploit novel anthropogenic food sources. Red foxes (Vulpes vulpes) are one of the best known and widespread urban-dwelling species. However, despite frequent stories, images, and videos portraying them as “pests” due to their exploitation of food-related objects (e.g., raiding the contents of outdoor bins), it is unknown whether they are bolder and more innovative in terms of their likelihood of exploiting these resources compared to rural populations. In the current study, we gave novel food-related objects to foxes from 104 locations (one object per location) across a large urban-rural gradient. To access the food, foxes had to use behaviours necessary for exploiting many food-related objects in the real world (e.g., biting, pushing, pulling, or lifting human-made materials). Despite all foxes acknowledging the objects, foxes from 31 locations touched them, while foxes from 12 locations gained access to the food inside. A principal component analysis of urban and other landscape variables (e.g., road, greenspace, and human population density) revealed that urbanisation was significantly and positively related to the likelihood of foxes touching, but not exploiting, the objects. Thus, while urban foxes may be bolder than rural populations in terms of their willingness to physically touch novel food-related objects, our findings are inconsistent with the notion that they are more innovative and pose a general nuisance to people by exploiting these anthropogenic resources. Highlights The impact of urbanisation on animal adaptability remains unclear Bold and innovative behaviour may help some urban species thrive We studied wild red foxes’ responses to novel food-related objects Urban foxes were bolder, but not more innovative, than rural foxes Urbanisation may favour bolder, not more innovative, fox behaviour
Journal ArticleDOI
TL;DR: In this paper , the authors investigated whether spatial neophobia was significantly correlated with responses to a novel object paradigm and found that neither time spent in a novel environment nor time to first enter a novel environments were correlated with an individual's average response to novel object trials.
References
More filters
Journal ArticleDOI
TL;DR: The aims behind the development of the lavaan package are explained, an overview of its most important features are given, and some examples to illustrate how lavaan works in practice are provided.
Abstract: Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been developed, both free and commercial. However, perhaps the best state-of-the-art software packages in this field are still closed-source and/or commercial. The R package lavaan has been developed to provide applied researchers, teachers, and statisticians, a free, fully open-source, but commercial-quality package for latent variable modeling. This paper explains the aims behind the development of the package, gives an overview of its most important features, and provides some examples to illustrate how lavaan works in practice.

14,401 citations

Journal ArticleDOI
TL;DR: This work has shown that predation is a major selective force in the evolution of several morphological and behavioral characteristics of animals and the importance of predation during evolutionary time has been underestimated.
Abstract: Predation has long been implicated as a major selective force in the evolution of several morphological and behavioral characteristics of animals. The importance of predation during evolutionary ti...

7,461 citations

Journal ArticleDOI
08 Feb 2008-Science
TL;DR: Urban ecology integrates natural and social sciences to study these radically altered local environments and their regional and global effects of an increasingly urbanized world.
Abstract: Urban areas are hot spots that drive environmental change at multiple scales. Material demands of production and human consumption alter land use and cover, biodiversity, and hydrosystems locally to regionally, and urban waste discharge affects local to global biogeochemical cycles and climate. For urbanites, however, global environmental changes are swamped by dramatic changes in the local environment. Urban ecology integrates natural and social sciences to study these radically altered local environments and their regional and global effects. Cities themselves present both the problems and solutions to sustainability challenges of an increasingly urbanized world.

5,096 citations

Journal ArticleDOI
TL;DR: In this article, practical problems that are frequently encountered in applications of covariance structure analysis are discussed and solutions are suggested, along with conceptual, statistical, and practical requirements fo...
Abstract: Practical problems that are frequently encountered in applications of covariance structure analysis are discussed and solutions are suggested. Conceptual, statistical, and practical requirements fo...

4,841 citations

Journal ArticleDOI
TL;DR: The R package MCMCglmm implements Markov chain Monte Carlo methods for generalized linear mixed models, which provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
Abstract: Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form. Markov chain Monte Carlo methods solve this problem by sampling from a series of simpler conditional distributions that can be evaluated. The R package MCMCglmm implements such an algorithm for a range of model fitting problems. More than one response variable can be analyzed simultaneously, and these variables are allowed to follow Gaussian, Poisson, multi(bi)nominal, exponential, zero-inflated and censored distributions. A range of variance structures are permitted for the random effects, including interactions with categorical or continuous variables (i.e., random regression), and more complicated variance structures that arise through shared ancestry, either through a pedigree or through a phylogeny. Missing values are permitted in the response variable(s) and data can be known up to some level of measurement error as in meta-analysis. All simu- lation is done in C/ C++ using the CSparse library for sparse linear systems.

4,156 citations