{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Clements CF"],"funding":["European Research Council"],"pagination":["10984"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4820807"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7"],"pubmed_abstract":["Foreseeing population collapse is an on-going target in ecology, and this has led to the development of early warning signals based on expected changes in leading indicators before a bifurcation. Such signals have been sought for in abundance time-series data on a population of interest, with varying degrees of success. Here we move beyond these established methods by including parallel time-series data of abundance and fitness-related trait dynamics. Using data from a microcosm experiment, we show that including information on the dynamics of phenotypic traits such as body size into composite early warning indices can produce more accurate inferences of whether a population is approaching a critical transition than using abundance time-series alone. By including fitness-related trait info"],"journal":["Nature communications"],"pubmed_title":["Including trait-based early warning signals helps predict population collapse."],"pmcid":["PMC4820807"],"funding_grant_id":["337785"],"pubmed_authors":["Clements CF","Ozgul A"],"additional_accession":[]},"is_claimable":false,"name":"Including trait-based early warning signals helps predict population collapse.","description":"Foreseeing population collapse is an on-going target in ecology, and this has led to the development of early warning signals based on expected changes in leading indicators before a bifurcation. Such signals have been sought for in abundance time-series data on a population of interest, with varying degrees of success. Here we move beyond these established methods by including parallel time-series data of abundance and fitness-related trait dynamics. Using data from a microcosm experiment, we show that including information on the dynamics of phenotypic traits such as body size into composite early warning indices can produce more accurate inferences of whether a population is approaching a critical transition than using abundance time-series alone. By including fitness-related trait info","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Mar","modification":"2025-04-26T02:13:12.076Z","creation":"2019-03-27T03:11:12Z"},"accession":"S-EPMC4820807","cross_references":{"pubmed":["27009968"],"doi":["10.1038/ncomms10984"]}}