| Title |
The ‘Evo-Demo’ Implications of Condition-Dependent Mortality
|
|---|---|
| Published in |
Trends in Ecology & Evolution, October 2017
|
| DOI | 10.1016/j.tree.2017.09.003 |
| Pubmed ID | |
| Authors | |
| Abstract |
Animals in the wild die from a variety of different mortality sources, including predation, disease, and starvation. Different mortality sources selectively remove individuals with different body condition in different ways, and this variation in the condition dependence of mortality has evolutionary and demographic implications. Subsequent population dynamics are influenced by the strength of condition-dependent mortality during specific periods, with population growth impacted in different ways in short- versus long-lived species. The evolution of lifespan is strongly influenced by condition-dependent mortality, with strikingly different outcomes expected in senescence rates when the relationship between condition and mortality is altered. A coupling of field and laboratory studies is now required to further reveal the evolutionary implications of condition-dependent mortality. |
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| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 11% |
| United Kingdom | 1 | 11% |
| Sweden | 1 | 11% |
| United States | 1 | 11% |
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| France | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
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|---|---|---|
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| Members of the public | 4 | 44% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Ph. D. Student | 17 | 21% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 5 | 6% |
| Professor > Associate Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 61% |
| Environmental Science | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Mathematics | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 21 | 26% |