UBC Research Data

Data from: GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms Bennett, Joanne M.; Calosi, Piero; Clusella-Trullas, Susana; Martínez, Brezo; Sunday, Jennifer; Algar, Adam C.; Araújo, Miguel B.; Hawkins, Bradford A.; Keith, Sally; Kühn, Ingolf; et al.

Description

<b>Abstract</b><br/>How climate affects species distributions is a longstanding question receiving renewed interest owing to the need to predict the impacts of global warming on biodiversity. Is climate change forcing species to live near their critical thermal limits? Are these limits likely to change through natural selection? These and other important questions can be addressed with models relating geographical distributions of species with climate data, but inferences made with these models are highly contingent on non-climatic factors such as biotic interactions. Improved understanding of climate change effects on species will require extensive analysis of thermal physiological traits, but such data are scarce and scattered. To overcome current limitations, we created the GlobTherm database. The database contains experimentally derived species’ thermal tolerance data currently comprising over 2,000 species of terrestrial, freshwater, intertidal and marine multicellular algae, pl ants, fungi, and animals. The GlobTherm database will be maintained and curated by iDiv with the aim of expanding it, and enable further investigations on the effects of climate on the distribution of life on Earth.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms, Excel format</h4><div class="o-metadata__file-description">This database includes thermal tolerance metrics for 2,133 species of multicellular algae, plants, fungi, and animals in 43 classes, 203 orders and 525 families from both aquatic, and terrestrial realms, extracted from published studies. Abbreviated citations are included in the 'REF_min' and 'REF_max' variable in the data file. For full citations, please see the attached workbook, "References_1_09_2017.xlsx". The data are available in both Excel and CSV formats in the Dryad Digital Repository (doi:10.5061/dryad.1cv08). Updates to the data and metadata will be curated through the iDiv data portal (https://idata.idiv.de/). For example, in the future we plan to include interspecific variation in the dataset, to provide multiple estimates of thermal tolerance limits for a given species where estimates determined using the best possible methods will be more highly ranked.</div><div class="o-metadata__file-name">GlobalTherm_upload_10_11_17.xlsx</br></div><div class="o-metadata__file-name">References_1_09_2017.xlsx</br></div></div><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms, CSV format</h4><div class="o-metadata__file-description">This database includes thermal tolerance metrics for 2,133 species of multicellular algae, plants, fungi, and animals in 43 classes, 203 orders and 525 families from both aquatic, and terrestrial realms, extracted from published studies. Abbreviated citations are included in the 'REF_min' and 'REF_max' variable in the data file. For full citations, please see the attached workbook, "References_1_09_2017.xlsx". The data are available in both Excel and CSV formats in the Dryad Digital Repository (doi:10.5061/dryad.1cv08). Updates to the data and metadata will be curated through the iDiv data portal (https://idata.idiv.de/). For example, in the future we plan to include interspecific variation in the dataset, to provide multiple estimates of thermal tolerance limits for a given species where estimates determined using the best possible methods will be more highly ranked.</div><div class="o-metadata__file-name">GlobalTherm_upload_02_11_17.csv</br></div><div class="o-metadata__file-name">References_1_09_2017.xlsx</br></div></div>

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This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver