2020
DOI: 10.1111/btp.12833
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Evaluating community effects of a Keystone Ant,Azteca sericeasur,onInga michelianaleaf litter decomposition in a shaded coffee agro‐ecosystem

Abstract: The activity of animals can have important impacts on decomposition dynamics, with accelerating or decelerating effects (Gessner

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Cited by 5 publications
(6 citation statements)
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“…Here, we describe the magnitude of the nutrient flux of a coffee mass bloom and its consequences for decomposition and detritivore community composition in a shaded organic coffee farm in southern Mexico. We focused on Collembola as part of the detritivore community because of their important role in decomposition (Yang et al 2012) and their abundance in our study system (Schmitt et al 2020). Our study addressed these three main objectives with the following hypotheses: H 1: Coffee flower petals will have higher nutrient concentrations than coffee leaf tissue and represent an important pool of nutrients on a farm scale.…”
Section: Introductionmentioning
confidence: 99%
“…Here, we describe the magnitude of the nutrient flux of a coffee mass bloom and its consequences for decomposition and detritivore community composition in a shaded organic coffee farm in southern Mexico. We focused on Collembola as part of the detritivore community because of their important role in decomposition (Yang et al 2012) and their abundance in our study system (Schmitt et al 2020). Our study addressed these three main objectives with the following hypotheses: H 1: Coffee flower petals will have higher nutrient concentrations than coffee leaf tissue and represent an important pool of nutrients on a farm scale.…”
Section: Introductionmentioning
confidence: 99%
“…Similar results were reported by Murnen et al (2013) when they compared ant communities among forest, sun‐coffee, and shaded‐coffee habitats and found that habitat type did influence ant abundance and richness, but not food addition. Schmitt et al (2020) examined the decomposition of I. micheliana leaves but found no difference; it was the presence of A. sericeasur that changed the leaf litter ant community composition. This points towards higher order ecological interactions influencing ants in the leaf litter.…”
Section: Discussionmentioning
confidence: 99%
“…Collectively, results were somewhat inconsistent with initial hypotheses: Azteca ant nests were indeed partially associated with smaller soil aggregate distribution parameters, indicating relatively larger soil aggregates, which aligned with exclusion of ground ant burrowing and soil aggregate fragmenting activity; however, rather than infiltration being slower due to excluded ground ant burrowing activity, the opposing result of faster infiltration and lower soil nitrogen, potentially from leaching, aligned with the larger macro-aggregate results, which also suggested larger pores likely occurring between them. This suggests that arboreal ant nest effects on soils can appear direct, amid both potentially direct (Clay et al 2013) and emerging indirect (Ennis 2010; Salinas, Vandermeer, and Perfecto 2019; Schmitt and Perfecto 2020) underlying processes.…”
Section: Discussionmentioning
confidence: 99%
“…Azteca sericeasur is a local keystone arboreal ant (Vandermeer et al 2010; Vandermeer et al 2019; Vandermeer 2021) that nests relatively indiscriminately in shade trees in this census plot (Kevin Li et al 2016), mostly in trunks or occasionally constructed carton nests (Clay et al 2013). A. sericeasur foraging can extend to nearby coffee bushes within 10 m (Ennis, Perfecto, and Vandermeer 2023), having cascading effects on coffee plant-associated arthropods, via predation, competitive exclusion, and aggression (Vandermeer, Perfecto, and Philpott 2010; Perfecto, Vandermeer, and Philpott 2014; Vannette, Bichier, and Philpott 2017); via mutualisms with extra-floral nectaries and Hemiptera, like Coccus viridis (Hsieh et al 2012; Hsieh 2015) and Octolecanium (Salinas, Vandermeer, and Perfecto 2019; Livingston, White, and Kratz 2008); and even have cascading effects on litter-dwelling ant communities (Ennis 2010; Salinas, Vandermeer, and Perfecto 2019; Schmitt and Perfecto 2020).…”
Section: Methodsmentioning
confidence: 99%
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