4.7 Article

Balancing effort and benefit - How taxonomic and quantitative resolution influence the pesticide indicator system SPEAR pesticides

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 848, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.157642

Keywords

Small streams; Macroinvertebrate community; Pesticide toxicity; Effect monitoring; Ecological quality assessment; SPEARpesticides

Funding

  1. German Helmholtz long-range strategic research funding
  2. Pilotstudie zur Ermittlung der Belastung von Kleingewassern in der Agrarlandschaft mit PflanzenschutzmittelRuckstanden - German FederalMinistry for the Environment, Nature Conservation and Nuclear Safety [FKZ 3717 63 403 0]
  3. MOSES (Modular Observation Solutions for Earth Systems)
  4. TERENO (Terrestrial Environmental Observations)

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Biological indices based on community composition can reflect the ecological quality of streams. The taxonomic and quantitative resolution have a limited impact on the assessment of pesticide effects on ecological quality. Family/abundance class resolution is suggested as the best trade-off between effort and accuracy for large-scale monitoring.
Biological indices aim to reflect the ecological quality of streams based on the community's species or trait composition. Accordingly, the capability to predict the ecological quality depends on (i) the knowledge on the association of taxa or traits with stressors and (ii) the taxonomic and quantitative resolution of taxa. Generally speaking, a higher resolution is associated with a better linkage between environmental condition and biological response but also with higher efforts and costs. So far it is unknown how the taxonomic and quantitative resolution affect the ecological quality assessment of streams related to pesticide effects when applying the invertebrate-based indicator SPEARpesticides. We investigated the ecological quality of 101 streams considering four taxonomic levels (species, genus, family, order) and three quantitative resolutions (abundance, three abundance classes, and presence-absence). In a multiple linear regression analysis between 13 investigated stressors and SPEARpesticides, the full models' explained variance remained fairly constant with decreasing taxonomic and quantitative resolution. As expected, the highest association between pesticide pressure and SPEARpesticides was reached at a species/abundance resolution yielding an R2 of 0.43. In contrast, the lowest quantitative resolution of order level combined with presence-absence information revealed an explained variance of 0.28 R2. We suggest the family/abundance class resolution (R2 = 0.38) as the best trade-off between effort and accuracy for large-scale monitoring. Due to a comparable linear regression at family/abundance class resolution, the assigned ecological quality classes were largely congruent (69 %) to species/abundance resolution. We conclude that the ecological quality assessment with SPEARpesticidesat family/abundance class resolution can be used to link pesticide contamination and invertebrate community structure with less taxonomic expertise and less quantification effort.

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