Understanding interactive effects between habitat configuration and pesticide use for pollination: towards better informed landscape management

Ecological Processes, Год журнала: 2025, Номер 14(1)

Опубликована: Март 3, 2025

The restoration of natural landscape elements is a frequently adopted pathway to improve wild pollinator abundance, diversity, and their pollination services in intensively used agricultural landscapes. However, pollinators the intended refuges can become exposed agrochemicals when foraging surrounding fields. In order effectively design conservation measures such as habitat or pesticide reduction schemes, effect land use configuration on exposure service requires further investigation. We developed model that extends existing approaches by simulating both flights concurrent toxic pesticides, enabling estimation impacts services. calculated health for set artificial landscapes, which varied percentage agriculture, clustering these uses, well mortality hazard arising from pesticides applied agriculture. Our results show landscapes with less than 10% highly are mostly safeguarded compact patches habitat, this shelters more exposure. With increasing amount applications causing 50% pollinators, dispersed achieve better landscape. tested application different ranges realistic scenario. For shorter ranges, immediate surroundings determines achieved pollination. species longer availability resources at scale controls study highlights importance assessing spatial effects local pollinators. By applying insights, managers devise arrangements protect habitats establish buffer zones support activity pesticide-intensive As current guidelines largely lack spatially-explicit measures, we suggest direct future research policies towards underlying processes facilitation parcel, farm, scale. online version contains supplementary material available 10.1186/s13717-025-00587-z.

Язык: Английский

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Pesticide residue detection technology for herbal medicine: current status, challenges, and prospects

Analytical Sciences, Год журнала: 2024, Номер 40(4), С. 581 - 597

Опубликована: Фев. 17, 2024

The domains of cancer therapy, disease prevention, and health care greatly benefit from the use herbal medicine. Herbal medicine has become mainstay developing characteristic agriculture in planting area increasing year by year. One most significant factors affecting quality medicines is pesticide residue problem caused abuse during cultivation medicines. It urgent to solve detecting residues efficiently rapidly. In this review, we provide a comprehensive description various methods used for testing, including optical detection, enzyme inhibition rate method, molecular detection methods, immunoassays, lateral immunochromatographic, nanoparticle-based colorimetric immunosensor, chemiluminescence smartphone-based etc. On basis, systematically analyze mechanisms some findings above strategies discuss challenges prospects associated with development tools.

Язык: Английский

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Landscapes of risk: A comparative analysis of landscape metrics for the ecotoxicological assessment of pesticide risk to bees

Journal of Applied Ecology, Год журнала: 2024, Номер 61(5), С. 975 - 986

Опубликована: Март 13, 2024

Abstract Pesticide use in agricultural landscapes creates environmental contamination that is heterogenous space and time. Mobile organisms, such as bees, are exposed to multiple sources when visiting patches vary the amount, timing toxicity of pesticides used. Yet, risk assessments (ERA) typically fail consider this heterogeneity, part because complexities estimating exposure different pesticides, subsequent at organism‐relevant scales. We pesticide assays 269 bee‐collected pollen samples understand spatiotemporal variability across a network 41 field sites southern Sweden. Observed bee calculated based on compound‐specific residue quantifications standardized data. then compare ability three classes landscape‐scale variables predict risk: (1) landscape composition configuration metrics, (2) load national data (3) predictions from newly developed model. Based data, 10 crops account for 81% total risk. detected 49 compounds pollen. Although herbicides fungicides constitute bulk both frequency amount quantified, unsurprisingly, insecticides contribute most Landscape metrics did not observed risk, interactions with species indicate taxa‐dependency predictions. predicted consistently between taxa. Risk estimates our model were strongly predictive but only considering realized (i.e., prior information). Synthesis applications . Predicting patterns could enable ERA. However, simple pattern, proportion land, sufficient. found was best integrating spatialized model, underscoring importance research, monitoring mitigation. Further, we propose guidance framework future ecotoxicological analyses clarifies needs relative prediction goals.

Язык: Английский

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From water to land—Usage of Generalized Unified Threshold model of Survival (GUTS) in an above-ground terrestrial context exemplified by honeybee survival data

Environmental Toxicology and Chemistry, Год журнала: 2025, Номер 44(2), С. 589 - 598

Опубликована: Янв. 6, 2025

In regulatory aquatic risk assessment, toxicokinetic-toxicodynamic (TKTD) methods, such as the generalized unified threshold model of survival (GUTS), are already established and considered ready for use, whereas TKTD methods aboveground terrestrial species, like arthropods, less developed currently not intended assessment. This could be due to fact that exposure in systems is more event-based (feeding, contact, overspray, etc.), simply related substance concentrations surrounding water. To provide a generic framework invertebrates, we propose new GUTS variant includes an intermediate buffer between external inside organism. can interpreted residues on exoskeleton or stomach, depending uptake route. Such behavior mechanistically reasonable observable laboratory experiments. variant, BufferGUTS, particularly suitable discrete discretized scenarios. Testing our honeybee datasets 13 pesticides reveals similar better reproduction curves than existing models (GUTS-RED BeeGUTS) while keeping number parameters same making no species-specific assumptions. The proposed BufferGUTS approach prospectively used derive variety arthropod species. A standardized definition species will facilitate comparison extrapolation applicability assessments.

Язык: Английский

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SolBeePop_ecotox: A Population Model for Pesticide Risk Assessments of Solitary Bees

Environmental Toxicology and Chemistry, Год журнала: 2024, Номер 43(12), С. 2645 - 2661

Опубликована: Сен. 18, 2024

Abstract In agricultural landscapes, solitary bees occur in a large diversity of species and are important for crop wildflower pollination. They distinguished from honey bumble by their lifestyle as well different nesting strategies, phenologies, floral preferences. Their ecological traits presence landscapes imply potential exposure to pesticides suggest need conduct risk assessments bees. However, assessing risks the managed wild across regions poses formidable challenge. Population models provide tools estimate population-level effects pesticide exposures, can support field study design interpretation, be applied expand data untested conditions. We present population model bees, SolBeePopecotox, developed use context assessments. The trait-based extends previous version with explicit representation exposures relevant routes. Effects implemented using simplified toxicokinetic–toxicodynamic model, BeeGUTS (GUTS = generalized unified threshold survival), adapted specifically evaluated semifield studies conducted red mason bee, Osmia bicornis, which were foraging tunnels over control insecticide-treated oilseed rape fields. extended simulations capture hypothetical two soil-nesting species, Nomia melanderi Eucera pruinosa, difficult test empirical studies. provides versatile tool higher-tier assessments, instance, expanding available environmental conditions, or scenarios. Environ Toxicol Chem 2024;43:2645–2661. © 2024 SETAC

Язык: Английский

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Spatiotemporally derived agricultural field delineations for species effects assessments and environmental decision support

The Science of The Total Environment, Год журнала: 2024, Номер 958, С. 177967 - 177967

Опубликована: Дек. 12, 2024

Язык: Английский

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