2018:groups:g2:start
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| A recent study by Johnson et al. (2017) found another factor capable of influencing sex determination in lampreys: the availability of resources. The authors experimentally manipulated environmental productivity (a proxy for the amount of resources available) in which larvae grew and found that it influenced adults’ sex ratio. Populations of individuals that grew in sites with lower productivity resulted in biased sex-ratio towards males. | A recent study by Johnson et al. (2017) found another factor capable of influencing sex determination in lampreys: the availability of resources. The authors experimentally manipulated environmental productivity (a proxy for the amount of resources available) in which larvae grew and found that it influenced adults’ sex ratio. Populations of individuals that grew in sites with lower productivity resulted in biased sex-ratio towards males. | ||
| - | There is wide evidence showing how the amount of resources influences life history traits. Individuals that grow with abundant resources can allocate them on both tissue growth and reproduction. However, when faced with restriction of resources, individuals tend to invest in somatic growth rather than reproduction. A similar trade-off exists in sex allocation, since female eggs cost than male sperm to produce. The question then is how this trade-off determines sex bias. | + | There is wide evidence showing how the amount of resources influences life history traits. Individuals that grow with abundant resources can allocate them on both tissue growth and reproduction. However, when faced with restriction of resources, individuals tend to invest in somatic growth rather than reproduction. A similar trade-off exists in sex allocation, since female eggs cost more than male sperm to produce. The question then is how this trade-off determines sex bias. |
| ===== Assignment ===== | ===== Assignment ===== | ||
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| Develop a model to understand the predicted sex-ratio of a population given differences in environmental productivity. | Develop a model to understand the predicted sex-ratio of a population given differences in environmental productivity. | ||
| - | === Suggested questions === | + | ===== Suggested questions |
| * Assuming a certain relationship between environment productivity and bias in sex ratio, what is the minimal amount of environmental productivity that allows a viable population? | * Assuming a certain relationship between environment productivity and bias in sex ratio, what is the minimal amount of environmental productivity that allows a viable population? | ||
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| * How does the difference in the cost of reproduction between male and females affect your model? For instance, if female eggs were as costly as male sperm, does population size increases? | * How does the difference in the cost of reproduction between male and females affect your model? For instance, if female eggs were as costly as male sperm, does population size increases? | ||
| - | ===== Challenge | + | ==== Challenge ==== |
| Many species are faced with environment unpredictability. How would you incorporate unpredictability of resources in your model and how does it affect population persistence? | Many species are faced with environment unpredictability. How would you incorporate unpredictability of resources in your model and how does it affect population persistence? | ||
| ===== Reference ===== | ===== Reference ===== | ||
| **Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate**. Nicholas S. Johnson, William D. Swink, Travis O. Brenden. //RSPB// (2017). [[http:// | **Field study suggests that sex determination in sea lamprey is directly influenced by larval growth rate**. Nicholas S. Johnson, William D. Swink, Travis O. Brenden. //RSPB// (2017). [[http:// | ||
2018/groups/g2/start.1515658405.txt.gz · Last modified: 2024/01/09 18:45 (external edit)