Comparison of predicted aquatic risks of pesticides used under different rice-farming strategies in the Mekong Delta, Vietnam

被引:27
|
作者
Stadlinger, Nadja [1 ,2 ]
Berg, Hakan [2 ]
Van den Brink, Paul J. [3 ,4 ]
Tam, Nguyen T. [2 ,5 ]
Gunnarsson, Jonas S. [1 ]
机构
[1] Stockholm Univ, Dept Ecol Environm & Plant Sci, Stockholm, Sweden
[2] Stockholm Univ, Dept Phys Geog, Stockholm, Sweden
[3] Wageningen Univ, Dept Aquat Ecol & Water Qual Management, Wageningen, Netherlands
[4] Wageningen Univ & Res Ctr, Alterra, Wageningen, Netherlands
[5] Nong Lam Univ, Dept Aquaculture, Hcm City, Vietnam
关键词
Risk assessment; Plant protection products; Rice; Pesticide management; Fish; Integrated pest management; PRIMET; Species sensitivity distribution; SPECIES SENSITIVITY DISTRIBUTIONS; PEST-MANAGEMENT; CHRONIC TOXICITY; FARMERS; WATER; RESIDUES; CROP;
D O I
10.1007/s11356-016-7991-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study evaluates the risks of pesticides applied in rice-fish and rice farming, with and without integrated pest management (IPM) strategies, to non-target aquatic organisms in two provinces of the Mekong Delta, Vietnam. Pesticide inventories and application patterns were collected from 120 Vietnamese farmers through interviews. Risks were assessed using (1) Pesticide RIsks in the Tropics to Man, Environment, and Trade (PRIMET), a first-tier model, which calculates predicted environmental concentrations (PECs) of pesticides in the rice field, based on the compound's physico-chemical properties and the application pattern, and then compares the PECs to safe concentrations based on literature data, and (2) species sensitivity distribution (SSD), a second-tier assessment model using species sensitivity distributions to calculate potentially affected fraction (PAF) of species based on the PECs from PRIMET. Our results show that several of the used insecticides pose a high risk to fish and arthropods and that the risks are higher among rice farmers than among rice-fish farmers. This study indicates that the PRIMET model in combination with SSDs offer suitable approaches to help farmers and plant protection staff to identify pesticides that may cause high risk to the environment and therefore should be substituted with safer alternatives.
引用
收藏
页码:13322 / 13334
页数:13
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