Pesticide exposure and forage shortage in rice cropping system prevents honey bee colony establishment

Liu, Feng; Zhang, Ge; Zhang, Chuanlian; Zhou, Wuyi; Xu, Xijian; Shou, Qinyi; Yuan, Fang; Li, Qian; Huang, Huijun; Hu, Jinghua; Wujun, Jiang; Qin, Jiamin; Ye, Wuguang; Dai, Pingli

doi:10.1016/j.envres.2022.115097

Cited by 3 publications

(1 citation statement)

References 53 publications

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“…Although rice flowers are generally not attractive to pollinators, pesticide applied in the rice field may increase the exposure risk and then negatively affect pollinators (Kimura et al, 2014). For example, a recent study in China reported that pesticide exposure on rice farmland impedes the establishment of honeybee colony (Liu et al, 2023). Pollinators may obtain pesticide from airborne pesticide particles, flowering plants that contain pesticide drifts, water body or other surrounding environments (Calatayud-Vernich et al, 2018;Gove et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Influence of agricultural intensification on pollinator pesticide exposure, food acquisition and diversity

Shi,

Ma,

de Kraker

et al. 2024

Journal of Applied Ecology

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Pollinators are essential for maintaining sustainable crop production, while the decline of pollinators is a widespread concern. Agricultural intensification is one of the primary drivers of the decline of insect pollinators. Agricultural intensification usually involves a decreasing of non‐crop semi‐natural habitat and an increasing of pesticide exposure for pollinators. However, causal links between agricultural intensification, increased pesticide exposure, and reduced pollinator's food sources and pollinator diversity remain underexplored. We assessed pollinator diversity across a landscape gradient where the proportion of rice ranged from 11% to 85% in South China. We placed honeybee (Apis mellifera) and mason bee (Osmia excavata) in these landscapes and investigated pesticide exposure in honeybee foragers and pollen, and in mason bee pollen and nesting materials. We also assessed the acquisition of food by mason bees. We found a higher frequency of pesticide detection in honeybee foragers and honeybee pollen samples in areas with a higher proportion of rice fields. There was a strong positive relationship between mason bee food acquisition and the proportion of semi‐natural habitats, while no significant effects of pesticide exposure on pollinator diversity were found in addition to the effect of semi‐natural habitat. Synthesis and applications: Our results suggest that pollinator communities could be at an increased risk of pesticide exposure due to intensified agriculture, while the negative impact on pollinator diversity mainly results from the loss of habitat and/or reduced food sources. This study highlights the importance of conserving semi‐natural habitat to mitigate the causes of decline in pollinator diversity. We also recommend long‐term, multi‐year studies to further understand the mechanisms behind the loss of pollinators in farming landscapes.

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Section: Introductionmentioning

confidence: 99%

Influence of agricultural intensification on pollinator pesticide exposure, food acquisition and diversity

Shi,

Ma,

de Kraker

et al. 2024

Journal of Applied Ecology

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Enantioselective fate and risk assessment of chiral fungicide pydiflumetofen in rice-fish and wheat farming systems

Di,

Diao,

Cang

et al. 2024

Science of The Total Environment

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Estimates of woody biomass and mixed effects improve isoscape predictions across a northern mixed forest

et al. 2023

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Contemporary methods used to predict isotopic variation at regional scales have yet to include underlying distributions of the abundance of isotopic substrates. Additionally, traditional kriging methods fail to account for the potential influences of environmental grouping factors (i.e., random effects) that may reduce prediction error. We aim to improve upon traditional isoscape modeling techniques by accounting for variation in the abundances of isotopic substrates and evaluating the efficacy of a mixed-effects, regression kriging approach. We analyzed common moose forage from northeast Minnesota for δ13C and δ15N and estimated the isotopic landscape using regression kriging, both with and without random effects. We then compared these predictions to isoscape estimates informed by spatial variation in above-ground biomass. Finally, we kriged the regression residuals of our best-fitting models, added them to our isoscape predictions, and compared model performance using spatial hold-one-out cross validation. Isoscape predictions driven by uninformed and biomass-informed models varied by as much as 10‰. Compared to traditional methods, incorporating biomass estimates improved RMSE values by as much as 0.12 and 1.00% for δ13C and δ15N, respectively, while random effects improved r2 values by as much as 0.15 for δ13C and 0.87 for δ15N. Our findings illustrate how field-collected data, ancillary geospatial data, and novel spatial interpolation techniques can be used to more accurately estimate the isotopic landscape. Regression kriging using mixed-effects models and the refinement of model predictions using measures of abundance, provides a flexible, yet mechanistically driven approach to modeling isotopic variation across space.

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Pesticide exposure and forage shortage in rice cropping system prevents honey bee colony establishment

Cited by 3 publications

References 53 publications

Influence of agricultural intensification on pollinator pesticide exposure, food acquisition and diversity

Influence of agricultural intensification on pollinator pesticide exposure, food acquisition and diversity

Enantioselective fate and risk assessment of chiral fungicide pydiflumetofen in rice-fish and wheat farming systems

Estimates of woody biomass and mixed effects improve isoscape predictions across a northern mixed forest

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