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Data from: Cascading effects of grazing on predatory arthropod and parasitoid densities

Billotte, Jackie; McCallister, Lorna; Hufbauer, Ruth; Reading, Richard

Abstract

An important goal in arthropod conservation is to understand how arthropods are affected by anthropogenic activities. Livestock graze 29% of the land area in the U.S., which can result in both top-down and bottom-up effects on ecosystems that are grazed. Grazing often reduces species richness and abundance of arthropods; however, these trends depend upon context and taxa, making generalization difficult. Grazing can either increase or decrease species richness and abundance of arthropods, depending on context and taxa, making generalization difficult. The impacts of grazing on different taxa may also be indirect, depending upon trophic interactions with other members of the community. We propose that considering trophic relationships will help clarify the effects of grazing on arthropods. Here, we study the effects of grazing by ungulates on pompilid wasps (Hemipepsis and Pepsis hawk wasps) and tarantulas (Aphonopelma hentzi). We do this by comparing the cover of forbs (flowering plants that provide nectar to hawk wasps), and the densities of hawk wasps and of tarantula burrows in areas grazed by cattle to areas with light grazing by wild ungulates in the shortgrass prairie. Grazed areas had lower cover of flowering plants, fewer parasitoids, and more tarantulas, while lightly grazed areas had higher cover of flowering plants, more parasitoids, and fewer tarantulas. We propose that hawk wasp abundance may track floral resources, enabling parasitoids to exert strong top-down pressure on tarantulas in lightly grazed areas. Thus, grazing may benefit tarantulas by reducing the abundance of their parasitoids.

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List of Supplemental Tables and Figures Table S1. Stocking rates for each site. Grazed sites had stocking rates of 1 cow/4,047 m2 and are grazed year-round. aSite 5 has a stocking rate of 0 but experienced occasional trespass grazing, sometimes for a significant amount of time. Site Grazing Level Stocking Rate G1 Grazed 1 cow/ 4,047 m2 year-round G2 Grazed 1 cow/ 4,047 m2 year-round G3 Grazed 1 cow/ 4,047 m2 year-round LG1 Lightly Grazed 0 LG2a Lightly Grazed 0 Table S2. Densities of tarantula burrows and hawk wasps by site, including lower and upper 95% confidence limits. Adjustments used in fitting the parametric β€˜key’ to the perpendicular distance function estimated by DISTANCE (Thomas et al., 2010) Grazing Level Site Tarantula Burrow Density (Ha) (95% CI) Hawk Wasp Density (Ha) (95% CI) Grazed G1 297.6 (244.5,362.1) 11.3 (9.1,13.9) G2 621.0 (516.2,746.9) 4.7 (3.9,5.5) G3 318.6 (245.1,414.1) 6.6 (5.3,8.4) Lightly Grazed LG1 86.3 (62.9,118.5) 55.2 (34.6,88.2) LG2 89.3 (64.5,123.6) 41.4 (28.9,59.4) Figure S1. a. Average monthly precipitation, b. average monthly temperature, in La Junta, Lamar, and Las Animas, Colorado, from 2012-2022. La Junta, Lamar, and Las Animas are three of the nearest cities to the study site, located approximately 53 km from the study site. Supplemental Information 1. Distance sampling is a proven method for estimating abundance in arthropods (Clark 2016; Mathis et al. 2024; Royale et al. 1982; Thomas et al. 2010). Distance sampling models estimate animal density (D) with the equation (Miller 2016): 𝐷 = 𝑛 (2𝑀𝐿𝑃 π‘Ž) Where n = the number of observations, w = the width of the area around the transect that surveying was performed, L = the length of the transect, and P = the probability of finding a burrow at the site (Miller 2016; Thompson et al. 1994). Distance sampling operates on the concept that the further away from a transect an animal is, the more difficult it is to detect (Clark 2016; Miller 2016; Royale et al. 1982; Thompson et al. 1994). The detection function (g(x)), a key component of distance analysis, gives the probability of an animal being detected at x distance from the transect (Clark 2016; Royale et al. 1982; Thomas et al. 2010). DISTANCE uses several key functions (uniform, half-normal, hazard rate, and negative exponential) and adjustment types (cosine, simple polynomial, and hermite polynomial) to fit the curve of the detection function to a relative frequency histogram of the observed distances of the target animals to the transect line (Miller 2016; Royale et al. 1982; Thompson et al. 1994).