Suppr超能文献

在生态毒理学研究中使用种群模型存在哪些障碍?

What are the roadblocks to using population models in ecotoxicology studies?

机构信息

School of Biosciences, The University of Melbourne, Victoria 3010, Australia.

出版信息

Mar Pollut Bull. 2017 Nov 15;124(1):5-8. doi: 10.1016/j.marpolbul.2017.08.038. Epub 2017 Aug 23.

Abstract

Understanding how pollution affects populations is critical for targeted environmental risk assessments and adequate protection of the environment. However, the vast majority of ecotoxicology studies still have a traditional focus of identifying effects on individual organisms and do not measure the effects at the population-level. Modelling tools that measure population effects of pollution are available and would add value to current ecotoxicology studies by aligning outcomes more closely to what needs to be protected. In this paper I outline three possible reasons why this knowledge gap still exists and consider how they could be adopted more broadly, including better considerations about what endpoints should be measured at the initial study design phase. The purpose of highlighting this knowledge gap is to assist in facilitating the integration of population-level endpoints into routine pollution monitoring programs and progress of ecologically relevant ecotoxicology research.

摘要

了解污染如何影响种群对于有针对性的环境风险评估和充分保护环境至关重要。然而,绝大多数生态毒理学研究仍然传统地关注于识别对单个生物体的影响,而没有测量种群层面的影响。现有的污染种群效应测量模型工具具有重要价值,通过使研究结果更紧密地与需要保护的目标相匹配,为当前的生态毒理学研究增加了价值。在本文中,我概述了为什么仍然存在这一知识差距的三个可能原因,并考虑了如何更广泛地采用这些原因,包括在初始研究设计阶段更好地考虑应该测量哪些终点。强调这一知识差距的目的是协助将种群终点纳入常规污染监测计划,并推动具有生态相关性的生态毒理学研究的进展。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验