Skip to main content
Dryad logo

Data from: Integrating effects of neighbor interactions for pollination

Citation

Fitch, Gordon et al. (2022), Data from: Integrating effects of neighbor interactions for pollination, Dryad, Dataset, https://doi.org/10.5061/dryad.v6wwpzgzw

Abstract

Animal-pollinated plants interact with neighbors for both abiotic resources and pollination, with consequences for reproduction and yield. Yet few studies have compared the relative magnitude of these effects, particularly in agroecosystems. In vertically stratified communities, such as agroforests, neighbor effects may be stratum-dependent. Understanding the net effects of neighbors on crop yield is important for managing multifunctional agroecosystems to simultaneously support production and biodiversity. This study evaluated the effects of neighboring plants on pollen deposition, fertilization, and yield in Coffea arabica in a shaded organic coffee farm with high non-crop plant abundance and diversity in Chiapas, Mexico. We assessed the impact of 1) floral resources at three vertical strata (herbs, coffee bushes, and canopy trees) on stigma pollen load (a measure of interaction for pollination), and 2) floral density and canopy cover (proxies for competition for abiotic resources) on yield (final fruit set and per-fruit weight), using structural equation modeling to evaluate the relative effect of each interaction type. Coffee competed for pollination with neighbors (conspecifics and heterospecifics) across strata. Pollen load influenced final fruit set, but the effect of neighbor competition for pollination was weaker than effects mediated by interaction for abiotic resources. Effects of interactions for abiotic resources were heterogeneous across strata, with negligible effects of herb-layer or coffee flower density but net positive effects of canopy trees on final fruit set. Overall effects of neighbors on coffee yield were weak, suggesting that coffee agroecosystems can be managed to maintain high plant density and diversity without sacrificing yield.

Methods

Dataset was collected through surveys, collection, and experimental manipulation of coffee plants in a shaded organic coffee farm during and after flowering.

Funding

University of Michigan

Horace H. Rackham School of Graduate Studies, University of Michigan