The dung beetle, Onthophagus taurus, was introduced <50 years ago from its native Mediterranean range into Western Australia (WA) and the Eastern United States (EUS). The intensity of intra- and interspecific competition for dung as a breeding resource is substantially higher in WA. First, we tested whether differential resource competition in the two exotic ranges is associated with divergences in life history traits, which impact on resource use. We predicted that high levels of resource competition in WA should favor females that produce brood balls more efficiently and of altered size, and produce offspring more readily when a breeding opportunity arises. Furthermore, we predicted that larvae from WA populations may have evolved more efficient development and thus exhibit higher eclosion success, shorter development time, and altered body size under standardized conditions. Second, we examined the likely developmental mechanisms underlying these divergences, that is, genetic differentiation, developmental plasticity, or parental effects in a common garden experiment. Field-collected EUS and WA populations significantly differed, as predicted, in most of the traits examined. However, these differences are facilitated by a complex combination of proximate mechanisms. Developmental plasticity and (grand) parental effects mediated differences related to reproductive performance, whereas genetic differentiation mediated differences in the duration of larval development. Our study highlights that population divergences can be the product of a patchwork of proximate mechanisms, with each mechanism adjusting different traits in a way that the resulting composite phenotype may be better suited to its competitive environment.
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Front Big Data
January 2025
School of Information Science and Technology, Shihezi University, Xinjiang, China.
Predictions of student performance are important to the education system as a whole, helping students to know how their learning is changing and adjusting teachers' and school policymakers' plans for their future growth. However, selecting meaningful features from the huge amount of educational data is challenging, so the dimensionality of student achievement features needs to be reduced. Based on this motivation, this paper proposes an improved Binary Snake Optimizer (MBSO) as a wrapped feature selection model, taking the Mat and Por student achievement data in the UCI database as an example, and comparing the MBSO feature selection model with other feature methods, the MBSO is able to select features with strong correlation to the students and the average number of student features selected reaches a minimum of 7.
View Article and Find Full Text PDFEnviron Toxicol Pharmacol
January 2025
Department of Zoology, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat 390002, India. Electronic address:
Pyrethroids pose a great concern to the declining population of dung beetles and the sustainability of ecosystem services. This study aimed to investigate the toxic effects of deltamethrin on Digitonthophagus gazella. First, the LC value (0.
View Article and Find Full Text PDFBiol Lett
January 2025
Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, 97074 Würzburg, Germany.
Cold waves crossing the Amazon rainforest are an extraordinary phenomenon likely to be affected by climate change. We here describe an extensive cold wave that occurred in June 2023 in Amazonian-Andean forests and compare environmental temperatures to experimentally measured thermal tolerances and their impact on lowland animal communities (insects and wild mammals). While we found strong reductions in activity abundance of all animal groups under the cold wave, tropical lowland animals showed thermal tolerance limits below the lowest environmental temperatures measured during the cold wave.
View Article and Find Full Text PDFSci Rep
January 2025
School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Anhui, 10378, China.
Dung Beetle algorithm is an intelligent optimization algorithm with advantages in exploitation ability. However, due to the high randomness of parameters, premature convergence and other reasons, there is an imbalance between exploration and exploitation ability, and it is easy to fall into the problem of local optimal solution. The purpose of this study is to improve the optimization performance of dung beetle algorithm and explore its engineering application value.
View Article and Find Full Text PDFProtoplasma
January 2025
Department of Biology, Faculty of Science, Gazi University, Ankara, Turkey.
Copris are part of the Scarabaeidae family of Coleoptera. Copris are dung beetles or coprophagous beetles. These insects are called tunnelers because they excavate channels in the substrate.
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