Kaufman Leyla V, Wright Mark G
Department of Plant and Environmental Protection Sciences, University of Hawaii at Manoa, 3050 Maile Way, Honolulu, HI 96822, USA.
Insects. 2017 Jul 7;8(3):67. doi: 10.3390/insects8030067.
The introduction of biological control agents to new environments requires host specificity tests to estimate potential non-target impacts of a prospective agent. Currently, the approach is conservative, and is based on physiological host ranges determined under captive rearing conditions, without consideration for ecological factors that may influence realized host range. We use historical data and current field data from introduced parasitoids that attack an endemic Lepidoptera species in Hawaii to validate a probabilistic risk assessment (PRA) procedure for non-target impacts. We use data on known host range and habitat use in the place of origin of the parasitoids to determine whether contemporary levels of non-target parasitism could have been predicted using PRA. Our results show that reasonable predictions of potential non-target impacts may be made if comprehensive data are available from places of origin of biological control agents, but scant data produce poor predictions. Using apparent mortality data rather than marginal attack rate estimates in PRA resulted in over-estimates of predicted non-target impact. Incorporating ecological data into PRA models improved the predictive power of the risk assessments.
将生物防治剂引入新环境需要进行寄主特异性测试,以评估潜在的非靶标影响。目前,该方法较为保守,基于圈养条件下确定的生理寄主范围,而未考虑可能影响实际寄主范围的生态因素。我们利用历史数据和当前实地数据,这些数据来自攻击夏威夷一种地方性鳞翅目物种的引进寄生蜂,以验证非靶标影响的概率风险评估(PRA)程序。我们利用寄生蜂原产地已知的寄主范围和栖息地利用数据,来确定是否可以使用PRA预测当代非靶标寄生水平。我们的结果表明,如果能从生物防治剂的原产地获得全面数据,就可以对潜在的非靶标影响做出合理预测,但数据不足则预测效果不佳。在PRA中使用表观死亡率数据而非边际攻击率估计值会导致对预测的非靶标影响的高估。将生态数据纳入PRA模型提高了风险评估的预测能力。