BIODYNAMICS

project

BIODYNAMICS is a 3-year personal research project, for which I have received funding by the Czech Science Foundation (GACR), and started on 1.6.2023.

Project description

The BIODYNAMICS project aims to address the need for predicting biodiversity and ecosystem alteration under global climate change. Life scientists need to be able to predict biodiversity and ecosystem alteration under global climate change. However, scenarios able to predict biodiversity trajectories are wishful thinking as biotic interactions in novel environments or among newly coexisting species are not sufficiently understood. By investigating local processes of species interactions, BIODYNAMICS will contribute crucial insights into how these interactions shape continental and global biodiversity patterns over the past 20 thousand years (ka). BIODYNAMICS will develop innovative approaches that allow estimating ecosystem functioning, especially the essential biotic interactions, at 3 major ecological scales (spatial, temporal, and taxonomic), spanning from individual plants in local sites to whole continents and from 20 ka to the present.

It will do so using a newly compiled publicly available multidisciplinary database that integrates present and past global vegetation records with their functional traits and climate data. This database will serve as a valuable resource for advancing knowledge in eco-informatics, community ecology, climatology, and paleo- and neo-ecology.

A key aspect of BIODYNAMICS is to utilize insights from the past to inform future predictions of global biodiversity patterns, which are anticipated to be influenced by anthropogenic climate change. By fostering interdisciplinary cooperation between these scientific disciplines, the project aims to enhance our understanding and quantification of biotic interactions in both historical and contemporary contexts. These insights will be instrumental in predicting ecological responses to global change, thereby ensuring the preservation of ecosystem services that are essential for our society.

Project goals

Improve the capacity to predict global biodiversity patterns using a new multidisciplinary framework to infer biotic interactions of vegetation, and identify how local-scale biotic interactions scaled up to maintain biodiversity patterns at various spatial scales during the last 20 ka.