Cold comfort: metabolic rate and tolerance to low temperatures predict latitudinal distribution in ants
Data files
Sep 07, 2023 version files 367.26 KB
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Cold-tolerance_dataset.xlsx
22.95 KB
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Metabolic_rate_dataset.xlsx
23.79 KB
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README.md
4.26 KB
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Respirometry_raw_data_graph.pdf
316.26 KB
Abstract
Metabolic compensation has been proposed as a mean for ectotherms to cope with colder climates. For example, under the metabolic cold adaptation and the metabolic homeostasis hypotheses (MCA and MHH), it has been formulated that cold-adapted ectotherms should display both higher (MCA) and more thermally sensitive (MHH) metabolic rates (MRs) at lower temperatures. However, whether such compensation can truly be associated with distribution, and whether it interplays with cold-tolerance to support species’ climatic niches, remains largely unclear despite broad ecological implications thereof. Here, we teased apart the relationship between MRs, cold-tolerance, and distribution, to test the MCA/MHH among 13 ant species. We report clear metabolic compensation effects, consistent with the MCA and MHH, where MR parameters strongly correlated with latitude and climatic factors across species’ distributions. The combination of both cold-tolerance and MR further upheld the best predictions of species’ climatic niches. To our knowledge, this is the first study showing that the association of metabolic data with cold-tolerance supports better predictive models of climatic temperature and distribution in social insects than models including cold-tolerance alone. These results also highlight that adaptation to higher latitudes in ants involved adjustments of both cold-tolerance and MRs, to allow this extremely successful group of insects to thrive under colder climates.
README: Cold Comfort: metabolic rate and tolerance to low temperatures predict latitudinal distribution in ants
General description: files include
- Cold-tolerance_dataset.xlsx: Cold-tolerance dataset of model species
- Metabolic_rate_dataset.xlsx: Metabolic rate dataset of model species at 3 temperatures and climatic variables averaged over species' distribution
- Respirometry_raw_data_graph.pdf: Respirometry trace of each model species at 3 temperatures
Cold tolerance and metabolic data of model species are laboratory recorded. Climatic data have been extracted from interpolating the the Global Ant Biodiversity (GABI) database georeferenced records with the global database of soil and near-surface temperatures (SoilTemp)
Date of collection: 2021-2023
Localisation of collection: Aarhus
Links to publications that cite or use the data: Willot, Q., Ørsted, M., Malte, H., Overgaard, J. (2023).Cold comfort: metabolic rate and tolerance to low temperatures predict latitudinal distribution in ants. Proceedings of the Royal Society B: Biological Sciences 290: 20230985
Description of the Data and file structure
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(1) Cold-tolerance_dataset.xlsx Variables
- CTmin: Critical Thermal minimum values per replicate per species
- LatN: northernmost record of occurrence for species
- LatS: southernmost record of occurrence for species
- Annual mean temperature: annual mean soil-surface temperatures averaged over species' distribution
- Mean diurnal range: annual mean soil-surface diurnal range temperatures averaged over species' distribution
- Max temperature of warmest month: averaged soil-surface temperature of the warmest month averaged over species' distribution
- Min temperature of coldest month: averaged soil-surface temperature of the coldest month averaged over species' distribution
- Annual Precipitation: annual mean precipitations averaged over species' distribution
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(2) Metabolic_rate_dataset.xlsx Variables
- SMR18: average metabolic rates over 3-6 replicates per species at 18°C
- SMR25: average metabolic rates over 3-6 replicates per species at 25°C
- SMR30: average metabolic rates over 3-6 replicates per species at 30°C
- Q10-SMR (18-25°C): Averaged Q10 values of metabolic rate between 18 and 25°C over 3-6 replicates per species
- Q10-SMR (25-30°C): Averaged Q10 values of metabolic rate between 25 and 30°C over 3-6 replicates per species
- LatN: northernmost record of occurrence for species
- LatS: southernmost record of occurrence for species
- Annual mean temperature: annual mean soil-surface temperatures averaged over species' distribution
- Mean diurnal range: annual mean soil-surface diurnal range temperatures averaged over species' distribution
- Max temperature of warmest month: averaged soil-surface temperature of the warmest month averaged over species' distribution
- Min temperature of coldest month: averaged soil-surface temperature of thecoldest month averaged over species' distribution
- Annual Precipitation: annual mean precipitations averaged over species' distribution (mm)
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(3) Respirometry_raw_data_graph.pdf
Visual representation of data associated with SMR18, 25 and 30 variables in Metabolic_rate_dataset.xlsx dataset
Y axis: Amount of CO2 excreted per replicate per measurement
X: measurements number
These graphs represent the untransformed respirometry trace associated with each species at each temperature. The three lowest values per replicate were standardized over the biological mass of samples, corrected for allemometric scaling of metabolic rate, and averaged to extract SMR values at each temperatures provided in Metabolic_rate_dataset.xlsx dataset
Sharing/access Information
1. Links to other publicly accessible locations of the data: https://doi.org/10.1101/2023.02.11.527843
2. Was data derived from another source? No
A. If yes, list source(s): NA
3. Recommended citation for this dataset:
Willot, Q., Ørsted, M., Malte, H., Overgaard, J. (2023).Cold comfort: metabolic rate and tolerance to low temperatures predict latitudinal distribution in ants. Dryad Digital Repository. https://doi.org/10.5061/dryad.573n5tbc5
Methods
Cold tolerance and metabolic data of model species.
Georeferrenced species records can be publicly accessed fron the Global Ant Biodiversity (GABI) database, and climatic data extracted from the global database of soil and near-surface temperatures (SoilTemp) database.