Research

Mission

CAVElab contributes to an increased understanding of ecosystem functioning in a changing environment, to nature conservation and development cooperation. To do this we train people and conduct question-driven research on vegetation ecology and biogeochemistry of terrestrial ecoystems, with a strong focus on tropical forest ecosystems.

Vision

CAVELab aims to catalyse innovative, fundamental and applied research through the integration of vegetation modelling and field work. We believe that team dynamics lift our science to a higher level and therefore invest energy both in personal and team goals. Good personal relationships and job satisfaction are key. We are committed to share our research with the widest possible audience; therefore, we publish in high quality scientific journals and invest in public outreach. We value ethics and invest resources for capacity building for our activities in developing countries. We believe that true collaborative research is only possible by sharing: open source software and codes, data sharing, open access publications.

Our research lines

  1. Vegetation dynamics in the climate response of (tropical) woody ecosystems (e.g. lianas, succession, monodominance, phenology, functional diversity & disturbance)
  2. Biogeochemical cycles in (tropical) forests (C-N-P, water) in response to climate and land use change, including land-atmosphere interactions.
  3. The role of vegetation structure in ecosystem functioning.

Our methodologies

  1. Process-based vegetation models. We are currently running projects where we develop, parameterise and apply various vegetation models including ED2, ORCHIDEE, LPJ-GUESS and FORMIND. We integrate vegetation models with multiscale observational data from leaf level gas-exchange, over plot-scale inventories and eddy covariance fluxes to remote sensing data.
  2. Terrestrial laser scanning (TLS). We use 3D TLS data to virtually reconstruct forests that can be used as input for vegetation models; to assess their aboveground biomass; or to understand their natural structural dynamics or response to disturbances.
  3. Field observational work. We go out in the field to do a range of measurement, particularly in data-poor regions, like the Congo Basin. We do ecophysiological observations, eddy covariance measurement (Congoflux), inventories, traits sampling, …

Our ecosystems

  1. We work in wet tropical forest in French Guiana, Panama, DR Congo and Australia; in tropical mountain forests in Ecuador an Africa; in temperate forest in Europe.
  2. We work in dryland savannas in Senegal and Australia.
  3. Urban ecosystems. We study city trees and their ecosystem services in Belgium and France, and work closely together with the council of Ghent.

Networks

  • CAVElab is a member of the Natural Capital platform of the Faculty of Bioscience Engineering at Ghent University, Belgium.
  • CAVElab is a member of CAFRINAT, an international centre of excellence for the African Great Lakes' Natural Capital
  • CAVElab is a member of the NASA CEOS Aboveground Biomass Product validation
  • Via the Congoflux fluxtower, CAVElab is member of ICOS
  • We participate in the COST Action 3DForEcoTech on three-dimensional forest ecosystem monitoring and better understanding by terrestrial-based technologies

Current Research Projects

Does liana proliferation cool down tropical forests?

Team: Hans Verbeeck, Felicien Meunier, Kasper Coppieters (UGent) & Marco Visser (ULeiden)

Funding: Research Foundation - Flanders (FWO)

There’s no such thing as “The Tropical Rainforest”: incorporating heterogeneity of tropical forests in a global vegetation model 

Team: Hans Verbeeck, Pascal Boeckx, Marc Peaucelle, Félicien Meunier, Marijn Bauters Ines Vieira (UGent)

Funding: Research Foundation - Flanders (FWO)

LEAF-2-TBM

DRC7.jpg

From Leaf to Terrestrial Biosphere Model: Integrating multi-scale observations of highly diverse tropical ecosystems for global scale simulations; PI: Marc Peaucelle; 2020-2022

Funding: European funding: framework programme, Marie Skłodowska-Curie Action

3D-FOGROD

3Dfogrod2.jpg

Understanding forest growth dynamics using novel 3D measurements and modelling approaches; PI: Kim Calders; 2019-2021

Funding: European funding: framework programme, Marie Skłodowska-Curie Action

Postdoc grant - Félicien Meunier

povray_liana.png

Modelling the current and future impacts of liana infestation on
the demography and biogeochemical cycles of tropical forests; PI: Félicien Meunier; 2019-2022

Funding: Research Foundation - Flanders (FWO), junior postdoctoral fellowship

Postdoc grant - Marijn Bauters

DRC19.jpg

Evaluating and understanding the role of biogeochemical cycling of phosphorus in regrowth forests in central Africa (RDC, Regrow Deforested Congo); PI: Marijn Bauters; 2019-2022

Funding: Research Foundation - Flanders (FWO), junior postdoctoral fellowship

Congoflux

congoflux-logo.png

Continuous monitoring of atmosphere-ecosystem exchange of greenhouse gasses in the Congo Basin forest: Building a flux tower in the Yangambi Man and Biosphere Reserve;

Funding: DG-DEVCO, FWO-IRI

COBECORE

cobecore.jpg

Congo basin eco-climatological data recovery and valorization
2017-2020 (extended)

Funding: Federal funding, BELSPO BRAIN

PhD grant - Louise Terryn

louise-phd-thumb.jpg

Winners and Losers: does water availability affect the Structural Economic Spectrum of tropical forests? 2019-2023

Funding: Regional and community funding: Special Research Fund (BOF)

PhD grant - Franklin Marin

DSCN1223.JPG

Disentangling potential drivers of success in ecological restoration along an altitudinal gradient in the Andes, Ecuador; 2021-2025

Funding: Regional and community funding: Special Research Fund (BOF)

COFOREC II

group.JPG

Consolidating a long-term forest monitoring network in a human modified landscape in Northern Ecuador; 2020-2021 (extended 2022)

Funding: Federal funding, VLIR-UOS

PhD grant - Liu Chang

Change-website-thumb-small.PNG

Automatic Estimation of Forest Structural Parameters in Multiple Forest Conditions Using Terrestrial Laser Scanning; 2019-2023

Funding: State Scholarship Fund awarded by China Scholarship Council

UTURN I & II

uturn-dahra-thumb.jpg

Understanding turning points in dryland ecosystem functioning; 2016-2020 (extended)

Funding: Federal funding, BELSPO STEREO III

Nature Smart Cities

naturesmartcities (2).jpg

Research towards evidence-based business models for greener cities

Funding: European Union’s Interreg 2 

      Previous Research Projects

      TREECLIMBERS

      treeclimbers_2.jpg

      Modelling lianas as key drivers of tropical forest responses to climate change

      Funding: European funding: framework programme, ERC Starting Grant

      3D Forest

      3Dforest2.jpg

      Novel in-situ 3D forest structure and biomass estimates to validate air/spaceborne products

      Funding: Federal funding, Belspo STEREO

      Full overview of current and previous research projects