AbstractThe distance that offspring disperse from their parents affects how a species responds to habitat disturbance, climate change, and interspecific interactions. For many benthic species, this dispersal is planktonic larvae, but the distance these larvae disperse is difficult to observe directly. Dispersal distance has usually been estimated indirectly by combining an observed quantity (, the rate of spread of an invasive organism or genetic similarity between locations) with a model that links that quantity to the dispersal of larvae. The estimates of dispersal distance based on the speed of spread of invasive organisms have led many researchers to conclude that the larvae of most of these organisms disperse much less than would be expected if they were being passively transported by the expected ocean currents (Shanks ; Shanks). I argue that the discrepancy is instead caused by the choice of model linking dispersal distance to invasion speed. Their model neglected the impact of life history, population growth, and oceanographic parameters on invasion speed. When dispersal distance is estimated from a more complete model of invasion speed, it is found that larval dispersal distance is not much less than would be expected for larvae drifting in the observed ocean currents.
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http://dx.doi.org/10.1086/732015 | DOI Listing |
Genetics
January 2025
Institute of Forest Sciences (ICIFOR-INIA), CSIC, Ctra. De la Coruña km 7.5, 28040 Madrid, Spain.
We present a new hierarchical Bayesian method using multilocus genotypes to estimate recent seed and pollen migration rates in a spatially explicit framework that incorporates distance effects separately for each type of dispersal. The method additionally estimates population allelic frequencies, population divergence values, individual inbreeding coefficients, individual maternal and paternal ancestries, and allelic dropout rates. We conduct a numerical simulation analysis that indicates that the method can provide reliable estimates of seed and pollen migration rates and allow accurate inference of spatial effects on migration, at affordable sample sizes (25-50 individuals/population) when population genetic divergence is not low (FST≥0.
View Article and Find Full Text PDFACS Nano
January 2025
Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education, LIFM, GBRCE for Functional Molecular Engineering, School of Chemistry, IGCME, Sun Yat-Sen University, Guangzhou 510275, China.
Lead halide perovskite nanocrystal materials such as CsPbX (X = Cl, Br, and I) have triggered an intense research upsurge due to their excellent scintillation performance. Herein, an crystallization strategy is developed to grow CsPbBr nanocrystals (NCs) within a low-melting-point (280 °C) coordination polymer (CP) glass. The viscosity of coordination glass is reduced through a low-temperature (e.
View Article and Find Full Text PDFSci Rep
January 2025
British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU, UK.
Understanding the distribution of breeding populations of migratory animals in the non-breeding period (migratory connectivity) is important for understanding their response to environmental change. High connectivity (low non-breeding population dispersion) may lower resilience to climate change and increase vulnerability to habitat loss within their range. Very high levels of connectivity are reportedly rare, but this conclusion may be limited by methodology.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Department of Biological Sciences, Binghamton University, Binghamton, NY 13902, USA.
The breadth and depth of plant leaf metabolomes have been implicated in key interactions with plant enemies aboveground. In particular, divergence in plant species chemical composition-amongst neighbors, relatives, or both-is often suggested as a means of escape from insect herbivore enemies. Plants also experience strong pressure from enemies such as belowground pathogens; however, little work has been carried out to examine the evolutionary trajectories of species' specialized chemistries in both roots and leaves.
View Article and Find Full Text PDFAnimals (Basel)
January 2025
CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Rapid and effective methods for tracing the geographic origin of wildlife samples are essential for tackling the illegal wildlife trade. Traditional morphological categorization methods are often inadequate as relying on the mitochondrial COXI barcode is insufficient for determining geographic populations. To address these limitations, we developed a bioinformatics-based pipeline for the rapid identification of traceable nuclear genome loci.
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