Bees Conference

Registration is closed! Thanks for visiting our website.

BEeS 2023

Bees Conference

The LifeWatch ERIC BEeS Conference features seven different topic sessions, for which abstracts over 65 abstracts have been submitted.

Our Abstract Book has just been released. Browse it below.



This is the heading

It focuses on providing and integrating modelling and remote sensing techniques to monitor and control the spread of the invasive species Ailanthus altissima.
Go to the workflow!


This is the heading

It is a data chaining pipeline that uses both community composition and community metabarcoding data produced by a network of Autonomous Reef Monitoring Structures (ARMS).
Go to the workflow!


This is the heading

It aims at highlighting where the incidence of invasive alien species is the strongest and which areas (or habitats) are the most vulnerable to the negative impacts of invasive alien species.
Go to the workflow!


This is the heading

It operates as an analysis pipeline for isotopic data aiming at protecting the distribution of an invasive crustacean species.
Go to the workflow!


This is the heading

It aims at developing an analytical pipeline to detect NIS in freshwater samples using metabarcoding techniques.
Go to the workflow!


The SOPPHY vLab is currently used in Oostvaardersplassen (OVP), a large wetland area and an important Natura2000 nature reserve in the Netherlands. The OVP is an important bird breeding area and acts as a winter-feeding site for large numbers of the Barnacle and Greylag goose. Several species of large herbivores (including Red Deer and Konik Ponies) have been introduced to regulate the habitat structure and biomass via grazing. The introduction of the alien invasive plant Jacobaea vulgaris in the OVP has changed the habitat structure and food availability for geese because the plant is toxic for mammalian herbivores, who therefore avoid it in their food. To analyse the invasion of Jacobaea vulgaris, LifeWatch ERIC – VLIC currently explores how physiological traits of Jacobaea vulgaris (e.g., chlorophyll, nitrogen and leaf area index) can be derived from high resolution and multi-spectral satellite imagery, potentially improving the monitoring of this invasive species from space.

  • The monitoring of the Jacobaea vulgaris invasion is so far mostly performed using airborne observations. Because such imagery is only acquired once per year, the temporal dynamics of spreading cannot be assessed properly. Mapping the distribution of this species using phenological patterns of plant physiological traits (acquired from frequent multi-spectral observations) promises to solve this limitation and allows us to investigate the effect of environmental drivers on the spreading of this invasive species. The objective is to utilise the plant species trait products from the SOPPHY vLab to identify and map Jacobaea vulgaris over the whole OVP area (56 km2).
  • The showcase focuses first on classifying Jacobaea vulgaris using spectral classification (from the Ailanthus species detection workflow) to identify their fractional cover in the study area. We will then use previously measured ground-truth data on foliar chlorophyll, nitrogen and leaf area index (available from the literature) with these cover maps to simulate different multi-spectral remote sensing observations using radiative transfer models. After comparing actual satellite imagery against the simulations, we will perform a radiative transfer inversion (using the MULTIPLY retrieval framework) to detect Jacobaea vulgaris by using species physiological traits from satellite observations (chlorophyll, nitrogen and leaf area index).

Publications and software

For the development of this virtual research lab, we are documenting its progress through technical reports, scientific papers, and background information.
Scientific manuscripts

  • Timmermans, J., Kissling, W.D.: Scientific opportunities for developing terrestrial essential biodiversity variables from satellite remote sensing in the context of the post-2020 global biodiversity framework, submitted in 2022 to Ecological Indicators, preprint

Technical reports

  • Timmermans, J. (2021): Deployment tool for the MULTIPLY Multi sensor framework.  Internal technical report available from LifeWatch ERIC – VLIC.
  • Timmermans J. (2021): Initial design of the SRS enabled Species Trait EBV Workflow. Internal technical report available from LifeWatch ERIC – VLIC.
  • Timmermans, J. (2021): Analysing remote sensing approaches and models to retrieve traits for species trait essential biodiversity variables. Internal technical report available from LifeWatch ERIC – VLIC.
  • Timmermans, J. (2020): Reviewing existing essential biodiversity variables and remote sensing global data products. Internal technical report available from LifeWatch ERIC – VLIC.

Software packages

Extra materials




Zhao, Z., Koulouzis, S., Bianchi, R., Farshidi, S., Shi, Z., Xin, R., Wang, Y., Li, N., Shi, Y., Timmermans, J., & Kissling, W.D. (2022) Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. Software: Practice and Experience.

Wang, Y., Koulouzis, S., Bianchi, R., Li, N., Shi, Y., Timmermans, J., Kissling, W.D., & Zhao, Z. (2022). Scaling Notebooks as Re-configurable Cloud Workflows. Data Intelligence, 4, 409-425.

Meijer, C., Grootes, M.W., Koma, Z., Dzigan, Y., Gonçalves, R., Andela, B., van den Oord, G., Ranguelova, E., Renaud, N., Kissling, W.D. (2020). Laserchicken — A tool for distributed feature calculation from massive LiDAR point cloud datasets. SoftwareX 12, 100626.

Coordination team

Yifang Shi

Lead scientific developer

LifeWatch ERIC – Virtual Laboratory and Innovation Centre (VLIC)


Daniel Kissling
W. Daniel Kissling

VLIC Scientific Coordinator

LifeWatch ERIC – Virtual Laboratory and Innovation Centre (VLIC)


Zhiming Zhao

VLIC Technical Manager

LifeWatch ERIC – Virtual Laboratory and Innovation Centre (VLIC)


Riccardo Bianchi_v3
Riccardo Bianchi

VLIC Developer for Cloud-based Virtual Research Environments

LifeWatch ERIC – Virtual Laboratory and Innovation Centre (VLIC)


Spiros Koulouzis
Spiros Koulouzis

Virtual Research Environment Developer

LifeWatch ERIC – Virtual Laboratory and Innovation Centre (VLIC)



Workflow availability


Data products
Country-wide data product of ecosystem structure metrics (25 GeoTIFF files) generated from the third Dutch national ALS flight campaign (AHN3):

LiDAR vLab

Light Detection And Ranging (LiDAR), an active remote sensing technique, has enabled the mapping of ecosystem structure with unprecedented detail, supporting research related to biodiversity monitoring, sustainable forest management, carbon accounting, and climate change modelling. Airborne laser scanning (ALS) surveys have been conducted by an increasing number of countries, providing high-resolution, multi-terabyte 3D point clouds at (super-) national extents. The ‘Laserfarm’ workflow builds on a free and open-source point cloud processing library (‘Laserchicken’) and enables the efficient and scalable processing of large amounts of airborne LiDAR data. High spatial resolution (e.g. 10-metre) data products of ecosystem structure can be derived from country-wide ALS surveys using the Laserfarm workflow, capturing information on canopy height, vegetation cover, vertical complexity or other aspects of ecosystem structure.  

To fill the gap between a Jupyter environment and a VRE, a solution called Notebook-as-a-VRE (NaaVRE) was embedded in the LiDAR vLab, enabling users to search for research assets (data, software, and algorithms), compose workflows, manage the lifecycle of an experiment, and share the results among users in the community.