{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Hepp M"],"funding":["Natural Sciences and Engineering Research Council of Canada","BC Hydro Water License Requirements to Cooper Beauchesne and Associates Ltd","Environment and Climate Change Canada to the Centre for Wildlife Ecology","Columbia Basic Fish and Wildlife Compensation Program"],"pagination":["e0247318"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7899321"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(2)"],"pubmed_abstract":["Dams and reservoirs alter natural water flow regimes with adverse effects on natural ecosystems. Quantifying and reducing these effects are important as global demands for energy and water, and the number of dams and reservoir, increase. However, costs and logistic constraints typically preclude experimental assessment of reservoir effects on the environment. We developed a stochastic individual-based model (IBM), parameterized using empirical data, to estimate the annual productivity of yellow warblers that breed in riparian habitat within the footprint of the Arrow Lakes Reservoir in British Columbia, Canada. The IBM incorporated information on breeding phenology, nest site selection, brood parasitism, daily nest survival, re-nesting probabilities and post-fledging survival. We used the "],"journal":["PloS one"],"pubmed_title":["Predicting the effects of reservoir water level management on the reproductive output of a riparian songbird."],"pmcid":["PMC7899321"],"funding_grant_id":["RGPIN-2009-261899","GCXE19SO59","RGPIN-2014-05798","RGPIN-2016-04625","RGPIN-2019-05513","SPI 4639","CLBMON-36"],"pubmed_authors":["Thomsen SK","Palsson E","Green DJ","Hepp M"],"additional_accession":[]},"is_claimable":false,"name":"Predicting the effects of reservoir water level management on the reproductive output of a riparian songbird.","description":"Dams and reservoirs alter natural water flow regimes with adverse effects on natural ecosystems. Quantifying and reducing these effects are important as global demands for energy and water, and the number of dams and reservoir, increase. However, costs and logistic constraints typically preclude experimental assessment of reservoir effects on the environment. We developed a stochastic individual-based model (IBM), parameterized using empirical data, to estimate the annual productivity of yellow warblers that breed in riparian habitat within the footprint of the Arrow Lakes Reservoir in British Columbia, Canada. The IBM incorporated information on breeding phenology, nest site selection, brood parasitism, daily nest survival, re-nesting probabilities and post-fledging survival. We used the ","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2026-06-01T16:43:26.152Z","creation":"2021-03-05T09:12:31Z"},"accession":"S-EPMC7899321","cross_references":{"pubmed":["33617585"],"doi":["10.1371/journal.pone.0247318"]}}