98%
921
2 minutes
20
Spatial confinement to a home range is theorized to be a more energetically efficient method of acquiring resources than random searching due to spatial memory. Intraspecific studies that have compared home range size at different population densities have found that home ranges shrink as population density increases. This negative trend could be due to increased conspecific competition via population density increase or due to correlations between resource density and population density. We use the 10-year population cycle of snowshoe hares (Lepus americanus) and individual-level food-add experiments as a case study to assess whether the mechanism of the relationship between home range size and population density is related to competition from increased conspecific density or confounds between population density and resource density. Over six winters (1 December-31 March) and a 50-fold change in population density, we estimated weekly home range sizes (n = 464; 90% minimum convex polygons) of 88 radio-collared hares, of which 26 were food-supplemented. We found a negative relationship between home range size and population density in controls; home ranges decreased by 2.5 ha as hare density increased from 0.24 to 1.2 hare/ha. Food-supplemented hares showed a more negative response to population density than controls (4.0 ± 0.56 ha decrease per 1 hare/ha increase). Our results suggest that the negative trend between home range size and population density is not due to confounds between population and resource density. Likely, there is a trade-off between resource acquisition and some other density-driven constraint when foraging at high densities, which we suggest is a reduction in resource sharing to minimize competition and maintain resource familiarity at high densities.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11967322 | PMC |
http://dx.doi.org/10.1002/ecy.70054 | DOI Listing |
Neotrop Entomol
September 2025
Dept of Entomology, Federal Univ of Viçosa, Viçosa, MG, Brazil.
The fruit fly Anastrepha fraterculus (Wiedemann) (Diptera: Tephritidae) is one of the main pests in apple orchards. Artificial neural networks (ANNs) are tools with good ability to predict phenomena such as the seasonal dynamics of pest populations. Thus, the objective of this work was to determine a prediction model for the seasonal dynamics of A.
View Article and Find Full Text PDFJ Math Biol
September 2025
School of Mathematical Sciences and Institute of Natural Sciences, MOE-LSC, CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China.
It has been noticed that when the waiting time distribution exhibits a transition from an intermediate time power-law decay to a long-time exponential decay in the continuous time random walk model, a transition from anomalous diffusion to normal diffusion can be observed at the population level. However, the mechanism behind the transition of waiting time distribution is rarely studied. In this paper, we provide one possible mechanism to explain the origin of such a transition.
View Article and Find Full Text PDFJ Am Coll Cardiol
September 2025
Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region of China; Advanced Data Analytics for Medical Science Limited, Hong Kong Special Administrative Region of China
Background: There is no consensus for using statins for primary prevention of cardiovascular disease (CVD) and all-cause mortality in adults with type 1 diabetes mellitus (T1DM), because no randomized controlled trial has exclusively investigated statins in this population.
Objectives: In this study, the authors sought to evaluate the long-term risks and benefits of statins for primary prevention in adults with T1DM.
Methods: We performed a sequential target trial emulation comparing statin initiation vs noninitiation using UK primary care data from the IQVIA Medical Research Data database.
Objectives: To investigate whether quantitative retinal markers, derived from multimodal retinal imaging, are associated with increased risk of mortality among individuals with proliferative diabetic retinopathy (PDR), the most severe form of diabetic retinopathy.
Design: Longitudinal retrospective cohort analysis.
Setting: This study was nested within the AlzEye cohort, which links longitudinal multimodal retinal imaging data routinely collected from a large tertiary ophthalmic institution in London, UK, with nationally held hospital admissions data across England.
Diabetes Res Clin Pract
September 2025
Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy; Diabetes Unit, Umberto 1 General Hospital, Rome, Italy.
Aims: To investigate liver disease and its risk factors in LADA compared to type 1 (T1D) and type 2 (T2D) diabetes.
Methods: Liver magnetic resonance (MR) and MR elastography were used to measure proton density fat fraction (PDFF) and stiffness in 31 people with LADA matched for gender, body mass index (BMI) and disease duration with 31 people with T2D, and for gender, BMI and age with 31 people with T1D. Visceral adipose tissue (VAT) was quantified by DXA.