Data: Cumulative heat stress in fluctuating temperatures and implications for the distribution of freshwater fish
Data files
Dec 10, 2024 version files 62.19 MB
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Data_Troia.zip
62.14 MB
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output_isoclines_10.txt
17.40 KB
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output_isoclines.txt
8.86 KB
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output_sdm.txt
4.01 KB
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README.md
3.37 KB
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species_list.xlsx
22.98 KB
Abstract
Predicting how rising temperatures will impact different species and communities is imperative and increasingly urgent with ongoing global warming. Here, we describe how thermal-death time curves obtained in the laboratory can be combined with an envelope model to predict the mortality of freshwater fish under field conditions and their distribution limits. We analyze the heat tolerance and distribution of 22 fish species distributed across North America and demonstrate that high temperatures imposed a distribution boundary for eleven of them, employing a null model. Importantly, predicted thermal boundaries closely match the warmest suitable locality of the envelope model. Simulated warming suggests that the distribution of fish species with lower heat tolerances will be disproportionately affected by rising temperatures, and the rate of local extinctions will be higher across fish communities in warmer localities. Ultimately, our analyses illustrate how physiological information can be combined with distribution models to forecast how warming temperatures are expected to impact different species and ecological communities.
README: Data: Cumulative heat stress in fluctuating temperatures and implications for the distribution of freshwater fish
Rezende and Carter (2024)
Cumulative heat stress in fluctuating temperatures and implications for the distribution of freshwater fish. Global Change Biology
(1) Datasets from Troia 2023 (Data_Troia
- zip folder/data_nwis_v01) - Thermal profile from reference monitoring station across 66 river in US. '97 (Figures 1 and 2) - USGS National Water Information System: 15-minute water temperature data from 66 study sites.
File names are Site ID from National Water Information System (NWIS) - https://waterdata.usgs.gov/nwis
Columns:
- Source of data (USGS)
- Site ID from National Water Information System (NWIS)
- Date time
- Time zone
- Temperature in degrees Celsius
- Measurement status (approved)
(2) Species list (sheet = species_list
) \ Full list of fish species from the Integrated Taxonomic Information System.
Columns:
- common_name
- scientific_name: Yellow highlighted indicated the species with thermal tolerance data available for distribution thermal boundary analysis.
- iris_tsn: Taxonomic Serial Number from the Integrated Taxonomic Information System
Species list (sheet = species_list_TDT) \ Heat tolerance parameters from the 22 species uses for distribution thermal boundary analysis (please see Table 1 main text).
Columns:
- common_name
- scientific_name
- iris_tsn: Taxonomic Serial Number from the Integrated Taxonomic Information System
- CTmax: Upper critical thermal limit (°C)
- z: Thermal sensitivity
- guild: Thermal guild from Lyons et al. 2009, see table 1 in the main text
- ref: see table 1 in the main text
- sp_id: species id used in output_isoclines.txt, output_isoclines10.txt and output_sdm.txt
(3) The output_isoclines
derived from the analysis of mortality isoclines using data on fish thermal tolerance from the literature
Columns:
- ta50 - quantile 50% of temperature (ºC)
- ta75 - quantile 75% of temperature (ºC)
- ta95 - quantile 95% of temperature (ºC)
- ta99 - quantile 99% of temperature (ºC)
- sp1.rec - Mortality predicted (proportion) with daily recovery (1 to 0)
- sp2.rec - Mortality predicted (proportion) with daily recovery (1 to 0)
- ...
- ...
- sp22.rec - Mortality predicted (proportion) with daily recovery (1 to 0)
(4) The output_isoclines10
. Using the same script but raising 10ºC to obtain mortality in heat tolerant species
(5) The output_sdm
data were obtained for each species, indicating whether they occupied or remained unoccupied, utilizing the bioclimatic envelope model implemented by Troia (2023)\
Columns:
- sp1.obs - Mortality observed\ 1 occupied - 0 unoccupied
- sp2.obs - Mortality observed\ 1 occupied - 0 unoccupied
- ...
- ...
- sp22.obs - Mortality observed\ 1 occupied - 0 unoccupied
- lat - Latitude from the reference monitoring station
- lon - Longitude from the reference monitoring station
(6)
References:
Rezende, E. L., Bozinovic, F., Szilágyi, A. and Santos, M. 2020. Predicting temperature mortality and selection in natural Drosophila populations. - Science 369: 1242–1245.
Troia, M. J. 2023. Magnitude–duration relationships of physiological sensitivity and environmental exposure improve climate change vulnerability assessments. - Ecography. 2023: e06217.