Stavros D. Veresoglou , Costas J. Saitanis , Evgenios Agathokleous
{"title":"Ecological dose-response curves against the clock","authors":"Stavros D. Veresoglou , Costas J. Saitanis , Evgenios Agathokleous","doi":"10.1016/j.coesh.2025.100653","DOIUrl":null,"url":null,"abstract":"<div><div>Dose-response curves are the basis for most public and environmental health decisions in ecology, environmental toxicology, pharmacology, and policymaking. Dose-response curves are often mistakenly assumed to be static in time. This gives rise to a major challenge in the field, correcting them for temporal variability. We review, here, evidence that there is unforeseen opportunity to predict temporal changes and that, by doing so, we might secure impactful progress in diverse disciplines such as ecotoxicology, conservation and restoration sciences, and precision agriculture. We develop a perspective on the steps that we need to take to realize this lost potential.</div></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"47 ","pages":"Article 100653"},"PeriodicalIF":6.6000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Environmental Science and Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468584425000625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Dose-response curves are the basis for most public and environmental health decisions in ecology, environmental toxicology, pharmacology, and policymaking. Dose-response curves are often mistakenly assumed to be static in time. This gives rise to a major challenge in the field, correcting them for temporal variability. We review, here, evidence that there is unforeseen opportunity to predict temporal changes and that, by doing so, we might secure impactful progress in diverse disciplines such as ecotoxicology, conservation and restoration sciences, and precision agriculture. We develop a perspective on the steps that we need to take to realize this lost potential.