Posdoctoral research at IFISC (UIB-CSIC)

Campus Universidad de las Islas Baleares, E07122 Palma de Mallorca (Spain)

(+34) 971 25 95 20

ecolombo(at)ifisc(dot)uib-csic(dot)es

Research interests: Theoretical ecology, complex systems, nonequilibrium statistical physics and nonlinear dynamics. CV

List of Publications: [Google Scholar]

I'm a physicist interested in the macroscopic phenomena that emerge in biological populations, focusing on topics such as population survival in heterogeneous environment, self-organization and ecosystem diversity. I received my doctoral degree in 2018, at Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), with the thesis “Collective behavior of living beings under spatiotemporal environmental fluctuations” and currently work at Institute for Cross-Disciplinary Physics and Complex Systems (IFISC).

Research lines

- Community coexistence

Species coexistence is an ecossytem macroscopic property that arises from individual-level interactions. For a predator-prey system, the interaction level is set by their encounter rate and predator attack (catching) success. This involves species movement behavior, hunting strategies and perceptual ranges. Proposing an individual-level model, we investigated whether the evolutionary dynamics of predator traits interacts with prey-predator spatial distribution. We showed that while different levels of species mixing select for predator characteristics, the resulting evolutionary outcome reshape the spatial distribution of preys and predators. Since prey-predator spatial mixing is the key factor that regulates the intensity of predation, we explore the community-level implications of such feedback and show that it controls both coexistence times and species extinction probabilities.


- Population survival in spatiotemporal environments

In this project we investigate scenarios ranging from single habitat surrounded by harmful conditions to metapopulations in complex landscapes. Our main objective is to obtain, by means of analytical and computational simulations, the critical conditions for the landscape that allow population survival at long times. This conditions are typically written in terms of quantities that characterize the landscape spatial and temporal heterogeneities, such as its size, clustering and period of temporal oscillations.

Snow
Forest


- Pattern formation in biological populations

Patterns can emerge in the distribution of individuals if there is a particular competition between spatial and temporal scales. Nonlocal competition has shown to be one of the key features behind pattern formation. In this project we investigate the fundamental aspects of nonlocallity, understand how interaction by distance can emerge when the environment mediate the individuals interaction.