Frederic Bartumeus Ferré

ICREA Research Professor| Head of Theoretical Ecology Department

Department

Theoretical ecology

Research group

Theoretical and computational ecology

Contact

fbartu@ceab.csic.es

Publication profiles

NºORCID:

0000-0001-6908-3797

Frederic Bartumeus Ferré

ICREA Research Professor| Head of Theoretical Ecology Department

My research is focused in the emerging field of movement ecology, which aims to reveal the complex forces that drive movement and dispersal patterns of animals (including humans). Improved tracking technology (GPS, bio-loggers, smart-phones) demands an integrative view, with new computational tools and modeling frameworks to understand unprecedented levels of detail from a constantly growing number of species. I am contributing to this scientific revolution based on a broad, highly collaborative and interdisciplinary research program, founded solidly on statistical physics and quantitative ecology. A central question in my research is how animals use information and their motor properties to optimize search strategies. The mechanistic linkage between behavioral processes and movement patterns is also key to understanding globalised problems such as the perpetuation of social inequality among humans or the spread of vector-borne infectious diseases.

Keywords: Movement Ecology, Search behaviour, Optimal foraging, Migration, Conservation Biology, Invasion ecology, Human mobility, Computational and Theoretical Ecology

www.theelab.net

PROJECTS

Dengue Risk Investigation for Preparedness (DengRIP)

DengRIP is a community-centered project addressing dengue and other arboviral diseases in West Africa through improved mosquito surveillance, risk prediction, and vector control. It combines scientific research, citizen participation, and local capacity building to strengthen outbreak preparedness in urban areas such as Ouagadougou.

Social behavior in animals: impact on movement and population ecology

Our group explores the influence of endogenous population processes and exogenous stochastic forces that drive wildlife population dynamics. We use an empirical approach by monitoring individual and population data in the field to study the behavior of populations at spatial and temporal scales.

Implementation of developments and improvements in the Mosquito Alert citizen science platform: artificial intelligence and alert systems

Development and application of artificial intelligence tools to optimize the speed of response to alerts sent by citizens through the Mosquito Alert platform.

Community-driven big data intelligence to combat mosquito-borne diseases (BIG MOSQUITO BITE)

The expansion of Ae. albopictus in the Iberian Peninsula and the arrival of Ae. aegypti to the Canary Islands have increased the risk of serious outbreaks of dengue, chikungunya or Zika in Spain.

Social Dynamics in Ecology: An Interdisciplinary Approach (SLEEP)

This proposal aims to study the processes linked to life in groups (which we call sociality) in an ecological framework, assembling data (both laboratory and field) to theory.

Versatile Observatory of Emerging Infectious Diseases (VEO)

The project consists of creating a Versatile Observatory of Emerging Infectious Diseases (VEO) that makes it possible to bring together high-quality information from which to develop early warning tools. The Observatory will monitor emerging infectious diseases, as well as the emergence of bacterial resistance, in order to carry out a risk assessment.

Human-mosquito interaction project: host-vector networks, mobility and socio-ecological context of mosquito-borne diseases (H-MIP)

The great heterogeneity in individual behavior as well as between different groups translates into a variability in human-mosquito interaction, and therefore in a variability in the risk of disease transmission. This relationship not only depends on the density of mosquitoes and people in an area but on many other factors.

Preparing for vector-borne virus outbreaks in a chaning world : a one health approach (ONE HEALTH)

The One Health PACT team focuses primarily on vector-borne diseases, primarily mosquitoes. With a comprehensive vision of this problem, the impact of climate change, water management, agricultural and livestock methods, and the importation of diseases through trade and tourism, on the probability of an outbreak, is investigated.

Mobile Bio-Lab to support first response in Arbovirus outbreaks (MOBVEC)

The overall goal of the MOBVEC project is to create technology that is the first line of defense against disease vectors, helps prevent and combat disease outbreaks, and helps save lives.

Delivering a Unified Research Alliance of Biomedical and public health Laboratories against Epidemics (DURABLE)

Outbreaks of infectious diseases are increasing due to multiple changes in local and global interactions that alter the fragile balance of the complex human-animal-environment ecosystem. The increased frequency and complexity of health threats require a different and unified way of preparedness and a coordinated, rapid, reliable and effective emergency response.

Eco-epidemiological intelligence for early warning and response to the risk of mosquito-borne diseases in endemic and emergency situations (E4Warning)

E4Warning is an holistic approach to improve our understanding of the interplay between humans, mosquitoes, reservoir species and the environment for a better disease intelligence capable of anticipating and identifying mosquito-borne diseases epidemic risk and outbreaks.

A research and innovation partnership to improve surveillance and control of mosquito vectors of emerging arboviruses (INOVEC)

The INOVEC project is dedicated to fostering collaborative research and driving innovation to improve surveillance and control of mosquito vectors that carry emerging arboviruses to Europe and beyond.