The objective of this paper is to collate information on western gorilla diet from six study sites throughout much of their current range, including preliminary information from two sites (Afi and Lossi), where studies of diet have begun only recently. Food lists were available from each site, derived from indirect signs of gorilla feeding (such as feces), with some observational data. Important staple, seasonal, and fallback foods have been identified, and a number of striking similarities across sites have been revealed based on a much larger data set than was previously available. It was confirmed that the western gorilla diet is always eclectic, including up to 230 items and 180 species. The greatest diversity is found among the fruit species eaten, fruit being included in western gorilla diets from all sites and throughout most or all of the year. Eight plant families provide important foods at five, or all six, sites, suggesting that it may be possible in the future to predict which habitats are the most suitable for gorillas. Gorillas exploit both rare and common forest species. Similarities and differences among sites can be explained superficially on the basis of geography and the past history of the forest. Gorilla density across sites appears to be most affected by the density of monocotyledonous bulk food plants, but its relationship to the density of important tree food species has yet to be tested.
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Anim Cogn
January 2025
School of Psychology and Neuroscience, University of St. Andrews, St. Andrews, KY16 9AJ, UK.
Chimpanzees excel at inference tasks which require that they search for a single food item from partial information. Yet, when presented with 2-item tasks which test the same inference operation, chimpanzees show a consistent breakdown in performance. Here we test a diverse zoo-housed cohort (n = 24) comprising all 4 great ape species under the classic 4-cup 2-item task, previously administered to children and chimpanzees, and a modified task administered to baboons.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electrical and Electronics Engineering, SR University, Warangal, Telangana, 506371, India.
Autonomous microgrids (ATMG), with green power sources, like solar and wind, require an efficient control scheme to secure frequency stability. The weather and locationally dependent behavior of the green power sources impact the system frequency imperfectly. This paper develops an intelligent, i.
View Article and Find Full Text PDFSci Rep
December 2024
Science and Research Branch, Islamic Azad University, Tehran, Iran.
The growing global demand for water and energy has created an urgent necessity for precise forecasting and management of these resources, especially in urban regions where population growth and economic development are intensifying consumption. Shenzhen, a rapidly expanding megacity in China, exemplifies this trend, with its water and energy requirements anticipated to rise further in the upcoming years. This research proposes an innovative Convolutional Neural Network (CNN) technique for forecasting water and energy consumption in Shenzhen, considering the intricate interactions among climate, socio-economic, and demographic elements.
View Article and Find Full Text PDFJ Hum Evol
December 2024
Department of Anthropology, University at Albany (SUNY), 1400 Washington Avenue, Albany, NY 12222, USA; College of Fellows, Institute of Advanced Study, Durham University, Cosin's Hall, Palace Green, Durham, DH1 3RL, UK; Department of Anthropology, Durham University, Dawson Building, South Road, Durham, DH1 3LE, UK. Electronic address:
The degree of sexual size dimorphism in fossil hominins is important evidence for the evaluation of evolutionary hypotheses, but it is also difficult/impossible to measure directly. Multiple methods have been developed to estimate dimorphism in univariate and multivariate datasets, including when data are missing. This paper introduces 'dimorph', an R package that implements many of these methods and associated resampling-based significance tests and evaluates their performance in terms of Type I error rates and power.
View Article and Find Full Text PDFbioRxiv
December 2024
Department of Biology, Penn State University, University Park, PA 16802, USA.
Non-canonical (non-B) DNA structures-e.g., bent DNA, hairpins, G-quadruplexes, Z-DNA, etc.
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