In nature, rates of dispersal vary greatly over time, yet most theoretical explorations of ecological and evolutionary dynamics to date have assumed constant movement rates. Here we examine how a particular pattern of temporal variation-periodic pulses of immigration-influences adaptation to a harsh environment, in which a species experiences conditions outside its niche requirements. Using both deterministic models and stochastic individual-based simulations, we show that for many ecological and genetic scenarios, temporally spacing out immigration events increases the probability that local adaptation is sufficient for persistence (i.e., niche evolution). When immigration events are too frequent, gene flow can hamper local adaptation in sexual species, but sufficiently infrequent pulses of immigration allow for repeated opportunities for adaptation with temporary escapes from gene flow during which local selection is unleashed. We develop versions of our models with and without density dependence for three different assumptions about the genetics underlying fitness (haploid, diploid, and quantitative genetic variation) so that our results may be applicable to a wide range of natural systems. Our study adds to a growing body of literature showing that temporal variation in migration rates can have significant effects on local adaptation and is among the first to show how such variation affects niche evolution.
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http://dx.doi.org/10.1086/704608 | DOI Listing |
Sci Rep
December 2024
Omicron, Telefonvej 8D, 2nd, Søborg, 2860, Denmark.
We studied mortality and hospital contact in people from Thyborøn-Harboøre, an environmentally contaminated fishing community on the Danish West Coast. The population and a comparison group from other fishing communities on the Danish West Coast were identified from historical data in the Central Population Register. All persons were followed up for death and hospital contacts to March 2023.
View Article and Find Full Text PDFHealth Qual Life Outcomes
December 2024
Department of Urology, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria.
Background: Electronic patient-reported outcomes (ePROs) have been shown to enhance healthcare quality by improving patient symptom management or quality of life (QoL). However, ePROs data for urothelial cancer (UC) patients receiving systemic therapies are scarce, and the application of ePROs in this patient cohort may need specific setups. This study tested the feasibility of ePROs for UC patients receiving systemic therapies in the outpatient clinic of a tertiary care center.
View Article and Find Full Text PDFSci Rep
December 2024
University of Kent, School of Mathematics Statistics and Actuarial Science, Canterbury, UK.
Over-coverage occurs when individuals who reside in a country leave or pass away, and this demographic event is not recorded in population registers, leading to population size overestimation. This problem can have important policy and decision-making consequences. With the increased reliance on incomplete but overlapping official registers for documenting whole populations or subgroups of populations, there is a need for more sophisticated modelling techniques that reliably estimate population size, and hence over-coverage, from such registers.
View Article and Find Full Text PDFJ Clin Transl Sci
May 2024
Oregon Health & Science University, Portland, OR, USA.
Background: Members of many racial and ethnic population subgroups are underrepresented in clinical trials and research. We present perspectives on barriers and facilitators to study participation gathered from Hispanic participants in a population-based genetic screening study.
Methods: Seven focus groups (five in English and two in Spanish) were conducted with self-identified Hispanic participants of the Healthy Oregon Project (HOP), a large population-based cohort of adults residing in Oregon.
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