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Differential foraging by sex can have important implications for understanding the ecology of a species. This can be especially difficult to study through observations alone in sexually monomorphic species, such as the Golden-crowned Sparrow (), and for species in remote areas. We used nitrogen and carbon stable isotope analysis to determine the relative trophic position between the sexes for 73 individual Golden-crowned Sparrows, a migrant songbird species with little known diet information from remote breeding locations of Alaska and northwestern Canada. We found no evidence of differences in feather δC between the sexes suggesting similar habitat use, but we found an average 0.3‰ increase each year that may indicate increasingly water stressed habitats. We found that females had significantly higher values of feather δN (mean 5.4‰; mean for males 4.5‰) after accounting for year and feather collection location and in a subset of GPS-tagged birds with known breeding locations, after accounting for year, breeding latitude, elevation, and distance to shoreline. We infer that females may be foraging on more food items from a higher trophic level than males on breeding grounds, which may reflect a physiological need to replace lost nutrients from nesting. If females rely on insects during the breeding season, then their success will be tied to insect populations which are generally experiencing large declines. Additionally, we provide mass and wing chord measurements from genetically sexed individuals to add to currently low published sample sizes for this monomorphic species.
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http://dx.doi.org/10.1002/ece3.71720 | DOI Listing |
J Anim Ecol
September 2025
Biodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Migration is widespread among animals but varies in its manifestation with differences in direction, distance and obligatory nature. Understanding the evolution of migration requires insight into not only the development of this behaviour but also the loss of it. Partial migration, where some individuals within a population migrate while others stay, provides a unique opportunity to identify the proximate factors determining migratory/resident behaviours.
View Article and Find Full Text PDFJ Dairy Sci
September 2025
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano, 39100 Bolzano, Italy. Electronic address:
The European Union makes a significant contribution to the global dairy industry, producing an estimated 160.8 million tons of milk in 2023, which accounts for more than 20% of the world's total milk production. However, the sector faces increasing pressure to align with sustainability goals amid economic constraints, environmental degradation, climate change, and evolving societal expectations.
View Article and Find Full Text PDFJ Environ Manage
September 2025
Department of Life Science, Tunghai University, Taichung, Taiwan; Center for Ecology and Environment, Tunghai University, Taichung, Taiwan. Electronic address:
The seawalls and roads between the habitats and intertidal zone impede the migration of land crabs to their spawning sites and increase the risk of roadkill in Gaomei Wetland. A pilot project aimed at mitigating roadkill risk involved modifying the landside of the seawalls from vertical to sloped. The effectiveness of the seawall modification needs to be further assessed.
View Article and Find Full Text PDFBiology (Basel)
August 2025
College of Chemistry and Environmental Engineering, Pingdingshan University, Pingdingshan 467000, China.
Migratory flyways sustain waterbird populations by linking critical habitats across their annual cycle. However, stage-specific impacts of climate change on these habitats remain poorly understood. We integrated species distribution models with annual migration data from 30 Greater White-fronted Geese () to assess changes in habitat suitability, distributional shifts, and suitability fluctuations across breeding, stopover, and wintering stages under mid-century (2040-2060) climate scenarios.
View Article and Find Full Text PDFG3 (Bethesda)
September 2025
International Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera México-Veracruz, CP 52640, Estado de México, México.
Effective genomic selection for ordinal traits, such as disease resistance scores, is a persistent challenge in plant breeding due to the discrete, ordered nature of these phenotypes. This study presents a novel Bayesian divergence-based framework for multi-trait ordinal selection, implemented in the extended Multi-trait Parental Selection R package (MPS-R). By leveraging decision-theoretic loss functions, including the Kullback-Leibler (KL) divergence, Bhattacharyya distance, and Hellinger distance, our approach quantifies the distance between candidate distributions and breeder-defined target distributions.
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