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If you have been playing around with network aesthetics, you have probably spend some time trying to figure out what layout works best to represent your data. After all, networks can be a great way to represent many complex relationships in a meaningful and digestable way. So, this step should not be underestimated! Thankfully, igraph has several layouts you can use. Read more
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Here I describe some basic aesthetics, and I show you how I incorportate attributes to my networks. Huge shout out to Liz Hobson for showing me most of these tips!! Read more
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When I first started to learn R, I really struggled to understand the structure of code. To me, it looked like a lot of technical lingo and random placement of terms I’ve never seen before. It wasn’t until I had a break through that I began to understand the general structure and patterns to coding, so I want to share it with you all. Read more
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As a graduate student, I teach undergraduate-level courses offered by my university. In the fall of 2021, I was a teaching assistant (TA) for Analytical Tools for Behavior Information taught by my advisor. For someone, such as myself, just starting to scratch the surface of all that is R, this was an awesome experience. Guiding students through assignments helped me understand how to break down the language and logic behind code. I strengthened my own understanding of coding best practices, troubleshooting, and how to talk about code. Read more
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As I learn to navigate R and coding best practices, I realized a crucial first step is getting organized. Staying organized is another challenge in and of itself, but it is much easier to do if you have a solid plan for your code before you get started. Thankfully, there are tons of ways to make sure you start on the right track and stay organized along your coding journey. I want to share how I approach the basics data analysis in five steps:
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Here is a collection of some useful websites I have come across as I learn to code! Read more
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Mike Miller interviewed the lab and shared our 2020 field season. He highlights the research we are doing on monk parakeet agression and dominance hierarches. Read the full article here. Read more
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Mike Miller wrote about a recent paper to come out of the lab. We created a framework to decide whether to pool or split similar behaviors when analyzing dominance interatctions. Our paper was published in Current Zoology. You can read Mike’s article here. Read more
Published in Current Zoology, 2020
We designed 2 reference models to test whether randomizing the number of interactions across behavior types results in similar structural patterns as the observed data. Read more
Recommended citation: van der Marel, A., Prasher, S., Carminito, C., O’Connell, C. L., Phillips, A., Kluever, B. M., & Hobson, E. A. (2021). A framework to evaluate whether to pool or separate behaviors in a multilayer network. Current Zoology, 67(1), 101–111. https://doi.org/10.1093/cz/zoaa077 https://academic.oup.com/cz/article/67/1/101/6050802
Published in Ethology, 2021
We review six software applications for handheld computers that are available for real-time entry of behavioral observations: Animal Behaviour Pro, Animal Observer, BORIS, CyberTracker, Prim8, and ZooMonitor. Read more
Recommended citation: van der Marel, A., O’Connell, C. L., Prasher, S., Carminito, C., Francis, X., & Hobson, E. A. (2021). A comparison of low-cost behavioral observation software applications and recommendations for use. Ethology. http://arxiv.org/abs/2103.07576 https://arxiv.org/abs/2103.07576
Published in Animal Behavior and Cognition, 2022
Our experiment evaluated the efficacy of two stimuli: predator vocalizations as potential repulsion and conspecific vocalizations as potential attraction stimuli for parakeets. Our results demonstrate that predator playbacks may be particularly useful for completing management objectives, such as temporary removal from a location. Read more
Recommended citation: Estien, C. O., O’Connell, C. L., Francis, X., Smith-Vidaurre, G., Kluever, B. M., Hobson, E. A., & van der Marel, A. (2022). Temporary behavioral responses to playbacks by a pest parrot and implications for management. Animal Behavior and Cognition, 9(4), 363-384. https://doi.org/10.26451/abc.09.04.01.2022 https://www.animalbehaviorandcognition.org/article.php?id=1329
Published in Behavioral Ecology, 2023
We performed a series of social perturbations to find what determines dominance rank in monk parakeets. We found that 1. bodyweight is not associated with rank, 2. reintroduced birds were not able to regain their rank following reintroduction, and 3. top-ranked birds experienced greater relative rank losses. These results, in addition to our previous work, suggests that social history is important for structuring monk parakeet dominance hierarhcies Read more
Recommended citation: Annemarie van der Marel, Xavier Francis, Claire L O’Connell, Cesar O Estien, Chelsea Carminito, Virginia Darby Moore, Nickolas Lormand, Bryan M Kluever, Elizabeth A Hobson, Perturbations highlight importance of social history in parakeet rank dynamics, Behavioral Ecology, 2023; arad015, https://doi.org/10.1093/beheco/arad015 https://academic.oup.com/beheco/article/34/3/457/7093242
Published in , 2024
Check out our new preprint where we test how familiarity with group mates affects spatial associations and affiliative interactions during relationship formation. Read more
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With many behavioral observation applications available, our challenge is choosing the most appropriate platform that fits a particular study question, research design, budget, and desired amount of preparatory time. We review Animal Behaviour Pro, Animal Observer, BORIS, CyberTracker, Prim8, and ZooMonitor and discuss the preliminary decisions that have to be made about the study design. We assess the six applications by reviewing 1) which behavioral sampling methods are possible per platform, 2) the setup and data collection routines, 3) the data output format, and 4) how to customize certain platforms so they will work more effectively for particular study aims or sampling methods. Our goal is to help researchers make calculated decisions about what behavioral observation platform is best for their study system and question. Read more
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I shared preliminary findings related to my first chapter of my dissertation on affiliative relatinoship formation during the Social Competency symposium organized by Dr. Liz Hobson and Dr. Marcela E. Benitez. Read more
Undergraduate course, University of Cincinnati, Biological Sciences, 2020
I taught two sections of introductory biology I lab in the fall of 2020. The goal of this lab was to supplement concepts learned in lectures by testing students’ ability to think critically about experimental design, developing crucial writing skills, and working hands-on with lab equipment. Read more
Undergraduate Course, University of Cincinnati, Biological Sciences, 2021
In the fall of 2021, I mentored undergraduate students learning to code to analyze behavioral data using the programming language R. If you are interested in the details and structure of the course you can learn more here. Read more
Undergraduate course, University of Cincinnati, Biological Sciences, 2023
I worked with students in the lab and the field to learn and practice physical, chemical, and biological sampling techniques for lakes, streams, and other aquatic habitats. We also integrated and analyzed field data with theory learned in class lectures. Read more
Undergraduate course, University of Cincinnati, Biological Sciences, 2024
I taught two sections of Introductory Biology II lab in the spring of 2023 and three sections in the spring of 2024. The goal of this lab was to give students the opportunity to apply concepts learned in lectures to robust experimental design, data collection and management, and apply analytical tools. We also worked on developing scientific writing skills. Read more