This issue contains two Applications articles and three Open Access articles. These five papers are freely available to everyone, no subscription required.
–qfasar: A new R package for diet estimation using quantitative fatty acid signature analysis methods. It also provides functionality to evaluate and potentially improve the performance of a library of prey signature data, compute goodness-of-fit diagnostics, and support simulation-based research.
–biomass: An r package designed to compute both AGB/AGC estimate and its associated uncertainty from forest plot datasets, using a Bayesian inference procedure. The package builds upon previous work on pantropical and regional biomass allometric equations and published datasets by default, but it can also integrate unpublished or complementary datasets in many steps.
One of the main causes behind biodiversity loss is the reduction and fragmentation of natural habitats. The conversion of natural areas into agricultural, urban or other human-modified landscapes often leaves wild species confined to small and isolated areas of habitat, which can only support small local populations. The problem with small, isolated populations is that they are highly vulnerable to extinction caused by chance events (such as an epidemic or a natural disaster in the area), or by genetic erosion (dramatic loss of genetic diversity that weakens species and takes away their ability to adapt to new conditions).
On top of that, we now have the added concern of climate change, which is altering environmental conditions and shifting habitats to different latitudes and altitudes. To survive in the face of these changes, many species need to modify their geographical distribution and reach new areas with suitable conditions. The combination of mobility (a biological property of species) and the possibility of spatial movement (a physical property of the landscape) is critically important for this. Continue reading →
Detecting the movements and interactions of elusive, nocturnal wildlife is a perpetual challenge for wildlife biologists. But, with security tracking technology, more commonly used to protect museum artwork, new Oxford University research has revealed fresh insights into the social behaviour of badgers, with implications for disease transmission.
Previous studies have assumed that badgers are territorial and, at times, anti-social, living in tight-knit and exclusive family groups in dens termed ‘setts’. This led to the perception that badgers actively defend territorial borders and consequently rarely travel beyond their social-group boundaries.
This picture of the badger social system is so widely accepted that some badger culling and vaccination programmes rely on it – considering badger society as being divided up into discrete units, with badgers rarely venturing beyond their exclusive social-groups. But, the findings, newly published in Methods in Ecology and Evolution, have revealed that badgers travel more frequently beyond these notional boundaries than first thought, and appear to at least tolerate their neighbours. Continue reading →
Determining how animals move within their environment is a fundamental knowledge that contributes to effective management and conservation.
In our latest video, David Jacoby and Edd Brooks explain how their paper brings together two disparate and rapid advancing fields: biotelemetry and social networking analyses.
In a paper recently published in Methods, David, Edd and colleagues Darren Croft and David Sims, demonstrate some of the descriptive and quantitative approaches for determining how an animal’s movement interconnects home range habitats. David and colleagues describe the novel application of network analyses to electronic tag data whereby nodes represent locations and edges between nodes, the movements of individuals. They consider both local and global network properties from an
animal movement perspective and simulate the effects of node disruption as a proxy for habitat disturbance.
Network theory is a well-established theoretical framework and its integration into the fast
developing field of animal movement and telemetry might improve significantly how we interpret animal space use from electronically recorded data.