Automated Author ProfileMarzluff, John
University of Washington
Marzluff, John
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Tools enable animals to exploit and command new resources. However, the neural circuits underpinning tool use and how neural activity varies with an animal’s tool proficiency, are only known for humans and some other primates. We use 18F-fluorodeoxyglucose positron emission tomography to image the brain activity of naïve vs trained American crows (Corvus brachyrhynchos) when presented with a task requiring the use of stone tools. As in humans, talent affects the neural circuits activated by crows as they prepare to execute the task. Naïve and less proficient crows use neural circuits associated with sensory- and higher-order processing centers (the mesopallium and nidopallium), while highly proficient individuals increase activity in circuits associated with motor learning and tactile control (hippocampus, tegmentum, nucleus basorostralis, and cerebellum). Greater proficiency is found primarily in adult female crows and may reflect their need to use more cognitively complex strategies, like tool use, to obtain food.
Authors
- Pendergraft, LomaJohn ;
- Marzluff, John ;
- Cross, Donna ;
- Shimizu, Toru ;
- Templeton, Christopher
Fitness can be profoundly influenced by the age at first reproduction (AFR), but to date the AFR-fitness relationship only has been investigated intraspecifically. Here we investigated the relationship between AFR and average lifetime reproductive success (LRS) across 34 bird species. We assessed differences in the deviation of the Optimal AFR (i.e., the species-specific AFR associated with the highest LRS) from the age at sexual maturity, considering potential effects of life-history as well as social and ecological factors. Most individuals adopted the species-specific Optimal AFR and both the mean and Optimal AFR of species correlated positively with lifespan. Interspecific deviations of the Optimal AFR were associated with indices reflecting a change in LRS or survival as a function of AFR: a delayed AFR was beneficial in species where early AFR was associated with a decrease in subsequent survival or reproductive output. Overall, our results suggest that a delayed onset of reproduction beyond maturity is an optimal strategy explained by a long lifespan and costs of early reproduction. By providing the first empirical confirmations of key predictions of life-history theory across species, this study contributes to a better understanding of life-history evolution.
Authors
- Mourocq, Emeline ;
- Bize, Pierre ;
- Bouwhuis, Sandra ;
- Bradley, Russell ;
- Charmantier, Anne ;
- de la Cruz, Carlos ;
- obniak, Szymon Marian ;
- Espie, Richard H. M. ;
- Herenyi, Márton ;
- Hötker, Hermann ;
- Kruger, Oliver ;
- Marzluff, John ;
- Møller, Anders P. ;
- Nakagawa, Shinichi ;
- Phillips, Richard A. ;
- Radford, Andrew N. ;
- Roulin, Alexandre ;
- Török, János ;
- Valencia, Juliana ;
- van de Pol, Martijn ;
- Warkentin, Ian G. ;
- Winney, Isabel S. ;
- Wood, Andrew G. ;
- Griesser, Michael ;
- Drobniak, Szymon M.