Data from: An extinction event in planktonic Foraminifera preceded by stabilizing selection ...
Unless they adapt, populations facing persistent stress are threatened by extinction. Theoretically, populations facing stress can react by either disruption (increasing trait variation and potentially generating new traits) or stabilization (decreasing trait variation). In the short term, stabiliza...
| Main Authors: | , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2019
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.qj947s3 https://datadryad.org/stash/dataset/doi:10.5061/dryad.qj947s3 |
| Summary: | Unless they adapt, populations facing persistent stress are threatened by extinction. Theoretically, populations facing stress can react by either disruption (increasing trait variation and potentially generating new traits) or stabilization (decreasing trait variation). In the short term, stabilization is more economical, because it quickly transfers a large part of the population closer to a new ecological optimum. However, canalization is deleterious in the face of persistently increasing stress, because it reduces variability and thus decreases the ability to react to further changes. Understanding how natural populations react to intensifying stress reaching terminal levels is key to assessing their resilience to environmental change such as that caused by global warming. Because extinctions are hard to predict, observational data on the adaptation of populations facing extinction are rare. Here, we make use of the glacial salinity rise in the Red Sea as a natural experiment allowing us to analyse the ... : Age model Age model used for the analyses. Tie points provided by Katherine Grant (Australian National University) based on Grant et al. (2014) Nature Communications 5: Article 5076, doi:10.1038/ncomms6076 Age_Model.txt Oceanography This file contains the oceanographic data from the investigated time interval in the Red Sea. Modified from Rohling et al. (2009), Nature Geoscience 2: 500-504, doi:10.1038/ngeo557 Oceanography.txt Abundances Abundance data for Orbulina universa and Trilobatus sacculifer in the analysed sediment samples. Abundances.txt O. universa morphology data Morphological data of Orbulina universa from the analysed sediment samples. OUniversa_Morphology.txt T. sacculifer metadata Metadata for Trilobatus sacculifer specimens in the analysed samples. TSacculifer_Metadata.txt T. sacculifer morphology data Morphological landmark data of Trilobatus sacculifer from the analysed sediment samples in .tps-format. TSacculifer_Morphology.zip README Plain .txt file. This file contains detailed ... |
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