Daniel Mujalli
PostDoc
Research interests
I'm a Biologist very much interested in eco-evolutionary modelling, programming and the use of machine learning techniques for my research and data analysis.
My research interest is mainly the understanding of evolutionary mechanisms, their limits and effects on evolvability; how novelty arises and spread as innovations, the identification of conditions promoting population persistence, and the application of scientific knowledge across disciplines. I like to approach my research questions from an interdisciplinary point of view. In my research I have developed agent-based models and used machine learning techniques for the study of adaptive systems and eco-evolutionary dynamics to understand organisms’ responses to their environment and its changes.
Currently, I am expanding my modelling toolbox, using hybrid species distribution models, and gene-regulatory network approaches to study species responses to environmental change.
Daniel Romero Mujalli in ResearchGate; in GitHub; personal blog
Contact information
email: daniel.mujalliuni-greifswaldde
Zoological Institute and Museum & Institute for Botany and Landscape Ecology
Universität Greifswald
Loitzer Straße 26
D-17489 Greifswald
tlf: 03834 420 4252
Publications
Romero-Mujalli D, Rochow M, Kahl S, Paraskevopoulou S, Folkertsma R, Jeltsch F, Tiedemann R (2021) Adaptive and nonadaptive plasticity in changing environments: Implications for sexual species with different life history strategies. Ecol Evol. 2021; 00: 1– 17. https://doi.org/10.1002/ece3.7485
Andriatsitohaina B, Romero-Mujalli D, Ramsay MS, et al. (2020) Effects of habitat edges on vegetation structure and the vulnerable golden-brown mouse lemur (Microcebus ravelobensis) in northwestern Madagascar. BMC Ecol 20, 69. doi: 10.1186/s12898-020-00337-z
Romero-Mujalli D, Jeltsch F, Tiedemann R (2019) Individual-based modeling of eco-evolutionary dynamics: state of the art and future directions. Reg Environ Change. doi: 10.1007/s10113-018-1406-7
Romero-Mujalli D, Jeltsch F, Tiedemann R (2019) Elevated mutation rates are unlikely to evolve in sexual species, not even under rapid environmental change. BMC Evol Biol 19, 175. doi: 10.1186/s12862-019-1494-0
Romero-Mujalli D, Cappelletto J, Herrera EA, Tárano Z (2017) The effect of social learning in a small population facing environmental change: an agent-based simulation. J Ethol 35:61–73. doi: 10.1007/s10164-016-0490-8
Romero-Mujalli D, Tárano Z, Cobarrubia S, Barreto G (2014) Characterization of the whistles of Tursiops truncatus (Cetacea: Delphinidae) and their association with surface behavior. Argent J Behav Sci 6:15–29
Romero-Mujalli D, Tárano Z (2012) Social learning and its feasibility as a form of inheritance. MIBE 6:97-100