Kafula Yusuph A, Thoré Eli S J, Philippe Charlotte, Munishi Linus K, Moyo Francis, Vanschoenwinkel Bram, Brendonck Luc
Laboratory of Animal Ecology, Global Change and Sustainable Development, KU Leuven, Ch. Deberiotstraat 32, 3000 Leuven, Belgium; Department of Sustainable Agriculture, Biodiversity and Ecosystem Management, School of Life Sciences and Bio-Engineering, Nelson Mandela - African Institution of Science and Technology, P. O Box 447, Arusha, Tanzania; Department of Aquatic Sciences, College of Aquatic Sciences and Fisheries, Mwalimu Julius K. Nyerere University of Agriculture and Technology, P. O Box 976, Musoma, Tanzania.
Laboratory of Animal Ecology, Global Change and Sustainable Development, KU Leuven, Ch. Deberiotstraat 32, 3000 Leuven, Belgium; TRANSfarm - Science, Engineering and Technology Group, KU Leuven, Bijzondereweg 12, 3360 Lovenjoel, Belgium.
Sci Total Environ. 2023 Apr 10;868:161698. doi: 10.1016/j.scitotenv.2023.161698. Epub 2023 Jan 20.
Environmental risks posed by widespread pesticide application have attracted global attention. Currently, chemical risk assessments in aquatic environments rely on extrapolation of toxicity data from classic model species. However, similar assessments based on local species could be complementary, particularly for unusual living environments such as temporary ponds. Here, we carried out an environmental risk assessment (ERA) of a pyrethroid model compound, cypermethrin, based on local temporary pond species. First, we measured cypermethrin residue concentrations in rivers, irrigation canals and temporary ponds in the Lake Manyara Basin (LMB). Then, we estimated the environmental risks of cypermethrin by combining these data with acute toxicity data of three resident species across three trophic levels: primary producers (Arthrospira platensis), invertebrate grazers (Streptocephalus lamellifer) and fish (Nothobranchius neumanni). Furthermore, we compared the derived ERA to that obtained using toxicity data from literature of classic model species. Cypermethrin residue concentrations in contaminated systems of the LMB ranged from 0.01 to 57.9 ng/L. For temporary pond species, S. lamellifer was the most sensitive one with a 96 h-LC of 0.14 ng/L. Regardless of the assumed exposure concentration (0.01 and 57.9 ng/L), the estimated risks were low for primary producers and high for invertebrate grazers, both for local species as well as for classic model species. The highest detected cypermethrin concentration resulted in a moderate risk estimation for local fish species, while the estimated risk was high when considering classic fish models. Our results confirm that, at least for pyrethroids, ERAs with classic model species are useful to estimate chemical risks in temporary pond ecosystems, and suggest that complementary ERAs based on local species could help to fine-tune environmental regulations to specific local conditions and conservation targets.
广泛使用农药所带来的环境风险已引起全球关注。目前,水生环境中的化学风险评估依赖于从经典模式物种推断毒性数据。然而,基于当地物种的类似评估可能具有互补性,特别是对于诸如临时池塘等特殊生活环境。在此,我们基于当地临时池塘物种对拟除虫菊酯类模型化合物氯氰菊酯进行了环境风险评估(ERA)。首先,我们测量了曼雅拉湖流域(LMB)河流、灌溉渠和临时池塘中的氯氰菊酯残留浓度。然后,我们将这些数据与三个营养级的三种本地物种的急性毒性数据相结合,以估计氯氰菊酯的环境风险:初级生产者(钝顶螺旋藻)、无脊椎食草动物(薄片裸腹溞)和鱼类(纽曼氏假鳃鳉)。此外,我们将所得的环境风险评估结果与使用经典模式物种文献中的毒性数据所获得的结果进行了比较。LMB受污染系统中的氯氰菊酯残留浓度范围为0.01至57.9纳克/升。对于临时池塘物种,薄片裸腹溞最为敏感,其96小时半数致死浓度为0.14纳克/升。无论假定的暴露浓度如何(0.01和57.9纳克/升),对于初级生产者而言,估计风险较低,而对于无脊椎食草动物而言,无论是本地物种还是经典模式物种,估计风险都很高。检测到的最高氯氰菊酯浓度对当地鱼类物种造成了中度风险估计,而在考虑经典鱼类模型时,估计风险很高。我们的结果证实,至少对于拟除虫菊酯类而言,使用经典模式物种进行环境风险评估有助于估计临时池塘生态系统中的化学风险,并表明基于当地物种的补充性环境风险评估有助于根据特定的当地条件和保护目标对环境法规进行微调。