DOI: 10.5061/dryad.4b8gthtmx
title: Data from: Predicting heat mortality in freshwater communities: temperature and oxygen effects

description: Freshwater organisms face a dual challenge in warming waters due to
 increased metabolic demands and declining oxygen levels. However, the
 relationship between temperature, oxygen, and heat-induced mortality in
 natural systems remains poorly understood. Here, we combine heat tolerance
 measurements in the laboratory with high-resolution water temperature and
 oxygen records in the field to predict mortality of different species
 under natural conditions. We demonstrate this approach in three species,
 one crab and two fish, of the Mapocho River in central Chile, and
 validated predictions with a capture-recapture experiment under natural
 settings. Our work unequivocally shows that current water temperatures can
 trigger mortality in some areas of the river and provides a robust
 approach to predict when heat-induced mortality is likely to occur. This
 approach offers a valuable tool for evaluating water quality and when
 river conditions may be stressful or restrictive for monitoring purposes,
 and to design possible mitigation strategies.
description: # Data from: Predicting heat mortality in freshwater communities:
 temperature and oxygen effects
 [https://doi.org/10.5061/dryad.4b8gthtmx](https://doi.org/10.5061/dryad.4b8gthtmx) ## Description of the data and file structure Our study combines heat-tolerance measurements in the laboratory with high-resolution field records of water temperature and dissolved oxygen to predict mortality of different species under natural conditions. This approach was applied to three species, one crab and two fish, of the Mapocho River in central Chile, and validated predictions with a capture-recapture experiment under natural settings. Our work shows that current water temperatures and dissolved oxygen levels trigger mortality in some areas of the river and its watershed. Data description: The three TDT datasets belong to the studied species used to build mortality predictions described in our manuscript. Each spreadsheet presents its respective metadata. * Crustacean: TDT_Aegla.xlsx * Fish: TDT_Gambusia.xlsx * Fish: TDT_Trichomycterus.xlsx The main dataset is linked with experimental measurements focused on the species *Aegla leavis*, which contains metadata information: * Aegla_data.xlsx/dataset: The spreadsheet contains morphological, physiological, and mortality records for *A. leavis* collected during the experimental trial. * Aegla_data.xlsx/field PO2: The spreadsheet contains the in situ dissolved oxygen record linked to each field logger deployed during the mortality field measurements. Water temperature records from exposed and covered areas, loggers deployed during the mortality field measurements: * Exposed logger: e1_13_02.csv * Exposed logger: e2_13_02.csv * Exposed logger: e3_13_02.csv * Non-exposed logger: ne1_13_02.csv * Non-exposed logger: ne2_13_02.csv Annual water temperature records were obtained from a logger in the reference place: * ta_locurro_2021-2022.csv  Time series data (1966 - 2023) from DGA (Direccion General de Aguas, Chile) physicochemical records from the Maipo river basin, which contains metadata information:  * Data_Env_MaipoBasin.xlsx/golden_data ## Code/Software Code to main manuscript analyses: ECOG_Analysis.R