Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ...
Evolutionary rate explanations for latitudinal diversity gradients predict faster speciation and diversification rates in richer, older, and more stable tropical regions (climatic stability hypothesis). Numerous modern lineages have emerged in high latitudes, however, suggesting that climatic oscill...
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Online Access: | https://dx.doi.org/10.5061/dryad.866t1g1pc https://datadryad.org/stash/dataset/doi:10.5061/dryad.866t1g1pc |
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ftdatacite:10.5061/dryad.866t1g1pc 2024-02-04T09:53:52+01:00 Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... Morales-Barbero, Jennifer Gouveia, Sidney F. Martinez, Pablo A. 2020 https://dx.doi.org/10.5061/dryad.866t1g1pc https://datadryad.org/stash/dataset/doi:10.5061/dryad.866t1g1pc en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Earth and related environmental sciences Dataset dataset 2020 ftdatacite https://doi.org/10.5061/dryad.866t1g1pc 2024-01-05T01:14:15Z Evolutionary rate explanations for latitudinal diversity gradients predict faster speciation and diversification rates in richer, older, and more stable tropical regions (climatic stability hypothesis). Numerous modern lineages have emerged in high latitudes, however, suggesting that climatic oscillations can drive population divergence, at least among extratropical species (glacial refugia hypothesis). This conflicting evidence suggests that geographical patterns of evolutionary rates are more complicated than previously thought. Here, we reconstructed the complex evolutionary dynamics of a comprehensive dataset of modern mammals, both terrestrial and marine. We performed global and regional regression analyses to investigate how climatic instability could have indirectly influenced contemporary diversity gradients through its effects on evolutionary rates. In particular, we explored global and regional patterns of the relationships between species richness and assemblage-level evolutionary rates and ... : After computing evolutionary rates for each species using BAMM, we calculated the mean speciation rate (MS) and mean net diversification rate (MDN) of all species of mammals per grid cell (Table_MS_MDN.csv). Grid cells at a 1° × 1° resolution We estimated historical climatic instability (CI) as the difference between the mean annual temperature of the last glacial maximum and the present mean annual temperature in each cell, for both landmasses and the sea surface (Table_CI.csv). This dataset excluded Antarctic Ocean information (above latitude 70°S). Grid cells at a 1° × 1° resolution. ... Dataset Antarc* Antarctic Antarctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Antarctic Antarctic Ocean |
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DataCite Metadata Store (German National Library of Science and Technology) |
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English |
topic |
FOS Earth and related environmental sciences |
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FOS Earth and related environmental sciences Morales-Barbero, Jennifer Gouveia, Sidney F. Martinez, Pablo A. Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
topic_facet |
FOS Earth and related environmental sciences |
description |
Evolutionary rate explanations for latitudinal diversity gradients predict faster speciation and diversification rates in richer, older, and more stable tropical regions (climatic stability hypothesis). Numerous modern lineages have emerged in high latitudes, however, suggesting that climatic oscillations can drive population divergence, at least among extratropical species (glacial refugia hypothesis). This conflicting evidence suggests that geographical patterns of evolutionary rates are more complicated than previously thought. Here, we reconstructed the complex evolutionary dynamics of a comprehensive dataset of modern mammals, both terrestrial and marine. We performed global and regional regression analyses to investigate how climatic instability could have indirectly influenced contemporary diversity gradients through its effects on evolutionary rates. In particular, we explored global and regional patterns of the relationships between species richness and assemblage-level evolutionary rates and ... : After computing evolutionary rates for each species using BAMM, we calculated the mean speciation rate (MS) and mean net diversification rate (MDN) of all species of mammals per grid cell (Table_MS_MDN.csv). Grid cells at a 1° × 1° resolution We estimated historical climatic instability (CI) as the difference between the mean annual temperature of the last glacial maximum and the present mean annual temperature in each cell, for both landmasses and the sea surface (Table_CI.csv). This dataset excluded Antarctic Ocean information (above latitude 70°S). Grid cells at a 1° × 1° resolution. ... |
format |
Dataset |
author |
Morales-Barbero, Jennifer Gouveia, Sidney F. Martinez, Pablo A. |
author_facet |
Morales-Barbero, Jennifer Gouveia, Sidney F. Martinez, Pablo A. |
author_sort |
Morales-Barbero, Jennifer |
title |
Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
title_short |
Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
title_full |
Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
title_fullStr |
Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
title_full_unstemmed |
Data from: Historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
title_sort |
data from: historical climatic instability predicts the inverse latitudinal pattern in speciation rate of modern mammalian biota ... |
publisher |
Dryad |
publishDate |
2020 |
url |
https://dx.doi.org/10.5061/dryad.866t1g1pc https://datadryad.org/stash/dataset/doi:10.5061/dryad.866t1g1pc |
geographic |
Antarctic Antarctic Ocean |
geographic_facet |
Antarctic Antarctic Ocean |
genre |
Antarc* Antarctic Antarctic Ocean |
genre_facet |
Antarc* Antarctic Antarctic Ocean |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.866t1g1pc |
_version_ |
1789968722642862080 |