EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A systematic exploration of biodiversity-ecosystem function relationship using remote sensing and eddy covariance networks

Ulisse Gomarasca1, Gregory Duveiller1, Guido Ceccherini2, Alessandro Cescatti2, Marco Girardello2, Javier Pacheco-Labrador1, Markus Reichstein1, Christian Wirth1,3,4, and Mirco Migliavacca2
Ulisse Gomarasca et al.
  • 1Max Planck Institute of Biogeochemistry, 07745 Jena, Germany
  • 2European Commission, Joint Research Centre, Ispra, 21027 VA, Italy
  • 3Institute of Biology, Leipzig University, Leipzig, Germany
  • 4German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena Leipzig, Leipzig, Germany

Biodiversity positively affects vegetation productivity and the ability of ecosystems to withstand disturbance events and invasions of alien species (ecosystem stability). However, the relationship between biodiversity and ecosystem functioning remains understudied at the landscape or whole ecosystem scales.

In particular, biodiversity can not be easily monitored at large spatial scales or frequent intervals. Therefore, confronting measurements of biodiversity and ecosystem functioning at the same spatial and temporal scales remains challenging. In this work, we present new methods to systematically bridge these scale gaps. We focus on collecting ecosystem data and developing metrics able to decypher the effect of plant biodiversity on ecosystem functioning. Based on eddy covariance fluxes from 78 NEON and ICOS sites, we compute key ecosystem functional properties related to ecosystem productivity and stability. Moreover, we calculate biodiversity indices from field surveys of species abundances, functional traits, and structural properties at these sites. Finally, we compute remote sensing metrics of biodiversity based on Sentinel 2 measurements. These metrics exploit the fine scale multispectral information from different and complementary perspectives, and are adapted to match the footprint of typical eddy covariance sites.

We investigate the relationship between ground- and satellite-based biodiversity metrics to understand the capability of remote sensing to contribute to biodiveristy-ecosystem function analyses that may one day be scaled globally. Despite dominant environmental and climatic constraints, we hypothesize that ecosystem functional properties covary with biodiversity metrics. To elucidate this point, we analyze the multivariate relationship between the different biodiversity estimates, ecosystem functional properties related to water, carbon, and energy fluxes, structural variables of the vegetation, and climate.

Assessing whether biodiversity effects apply to the functioning and stability of ecosystems is pivotal to understanding ecosystem processes and developing appropriate forecast models and climate change mitigation strategies.

How to cite: Gomarasca, U., Duveiller, G., Ceccherini, G., Cescatti, A., Girardello, M., Pacheco-Labrador, J., Reichstein, M., Wirth, C., and Migliavacca, M.: A systematic exploration of biodiversity-ecosystem function relationship using remote sensing and eddy covariance networks, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13232,, 2023.