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Data from: Frequency-dependent seed selection: How relative abundance and seed traits jointly mediate foraging preference in scatter-hoarding rodents

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Jun 01, 2026 version files 619.28 KB

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Abstract

Scatter‑hoarding rodents act as both seed predators and dispersers, strongly influencing seed fate and plant recruitment. Their foraging decisions are influenced not only by the traits of individual seeds but also by the traits of neighboring seeds. Although the effects of seed traits such as size and chemical defense are well‑established, how the relative frequency of co‑occurring seeds influences these decisions remains poorly understood. In this study, we conducted a field experiment in a subtropical forest in southwestern China using artificial seeds. A total of 19,200 artificial seeds with different seed size (diameters of 0.5, 1.5, and 2.5 cm) or tannin content (0%, 5%, and 10%) were deployed across 240 seed patches. Within each patch, the ratios of paired seeds were set across five levels (9:1, 7:3, 5:5, 3:7, and 1:9). We found that large seeds were less likely to be removed or cached as their relative frequency increased when paired with medium or small seeds. Conversely, small seeds showed increased removal with higher relative frequency when paired with large seeds. Similarly, the removal of high‑tannin seeds decreased at higher frequencies when paired with medium‑tannin seeds, whereas medium‑tannin seeds were removed more often as their proportion increased when paired with low‑tannin seeds. In contrast, caching probability was not significantly affected by relative frequency in any tannin‑level pairing. Moreover, relative frequency had no significant effect on seed dispersal distance across all treatments. These results demonstrate that rodent foraging is shaped by both trait‑based and frequency‑dependent selection, and that the strength of frequency effects depends on trait contrast and foraging stage. This study underscores the importance of integrating both relative frequency and trait context into models of rodent–seed interactions to improve predictions of seed dispersal and plant community dynamics.