Identification and collection of site metadata and of ancillary data relative to the field sites (e.g., location, vegetation type, climatic features, soil type, etc.) and to the monitored trees (e.g., stem diameter, height, health status, etc.) will be prepared as well as the definition of installation protocols and field experimental designs.
The crane supporting hyperspectral sensors monitoring forest at the DEMMIN sites. Picture: E. Thurm, from Uni-Greifswald website.
1. DEMMIN Test Site (Germany)
The DEMMIN (Durable Environmental Multidisciplinary Monitoring Information Network) test site, represents a comprehensive facility in Mecklenburg-Western Pomerania, northern Germany. DEMMIN spans heterogeneous landscapes including agricultural areas and forest components. In 2011, GFZ established a crane facility in the urban forest of DEMMIN as a contribution to the TERENO initiative to acquire hyperspectral measurements. The site's forest areas provide critical validation data for hyperspectral forest classification algorithms and support canopy-level measurements. DEMMIN contributes to long-term ecosystem monitoring across the temperate European forest-agriculture landscape mosaic.
Weather station at the Marburg Open Forest. Picture: Steffen Böttcher/Hessen schafft Wissen., from Uni-Marburg website.
2. Marburg Open Forest (Germany)
The Marburg Open Forest (MOF) constitutes a 244-hectare research and educational forest facility operated by Philipps-Universität Marburg. The forest extends across elevational gradients from 212 m a.s.l. to 488 m a.s.l. in the Lahn Valley, with the majority of forest stands situated within the subcontinental beech mixed forest zone. Fagus sylvatica dominates the species composition, complemented by approximately 30% Quercus petraea coverage. MOF serves as an innovative teaching and research forest, integrated into the curricula of degree programs such as Physical Geography and Biodiversity and Nature Conservation. The MOF supports diverse research projects in areas such as forest ecology, biodiversity monitoring, and climate adaptation through state-of-the-art infrastructure. The facility maintains comprehensive monitoring infrastructure including climatological, hydrological, and tree physiological sensor networks.
Aerial view of the Cembra site. Picture: Christian Mestre Runge.
3. Cembra Valley (Italy)
The Cembra site is an alpine mixed forest (1250 m a.s.l) in the Trentino province. The European beech dominates the stand composition, which includes a limited presence of Norway spruce, and a minor presence of silver fir, silver birch, Scots pine, European larch and rowan. The stand grows on an acidic brown earth soil, over a porphyry bedrock. Since 2017, the site has been subject to experimental nitrogen fertilization treatments, with fertilization delivered both above-canopy and below-canopy to circular plots. The ecological monitoring of beech trees has been since then carried out by means of clusters of traditional and Internet of Things based devices recording trees radial growth, sap flow density and characterizing the forest microclimatic space. The stand is part of AnaEE project.
Eddy Covariance tower at the Majadas del Tietar research site. Picture from the ICOS page of the station.
4. Majadas del Tietar (Spain)
The Majadas del Tietar research site is situated within a Mediterranean dehesa ecosystem in Cáceres, Extremadura (260 m a.s.l.), representing a traditional oak savanna landscape characterized by low-density Quercus ilex subsp. ballota stands (24.8 trees ha⁻¹, 19.8% canopy cover). The site experiences a continental Mediterranean climate with mean annual temperature of 17.2°C and precipitation of 670 mm, exhibiting pronounced summer drought conditions. Since 2014, the site has served as a focal point for the MANIP (Manipulation of Nitrogen and Phosphorus) experiment, incorporating multiple eddy covariance towers, sub-canopy flux measurements, and extensive ground-based instrumentation to investigate ecosystem responses to nutrient manipulation and water availability gradients.
Aerial view of the research station San Francisco. Picture from the station profile page.
5. San Francisco (Ecuador)
The Estatión Cientìfica San Francisco is located in the Reserva Biológica San Francisco on the Cordillera Real, an eastern range of the South Ecuadorian Andes. The core research area of around 11 km² stretches on the north-facing slopes of the valley from ~1800 m at the valley bottom to the mountain crest at ~3200 m altitude. The reserve encompasses primary tropical mountain rainforest characterized by evergreen vegetation and exceptionally high species diversity. The elevational gradient creates distinct ecological zones, with cloud forest formations dominating the mid-elevation ranges. The site experiences a tropical mountain climate with pronounced seasonality in precipitation patterns, despite the evergreen nature of the forest canopy. Research infrastructure supports comprehensive ecological monitoring programs including biodiversity inventories, forest dynamics studies, and climate-ecosystem interaction research. Based on the scientific results, the entire area has been awarded the rank of a UNESCO Biosphere reserve.
CHELSA V2.1 Bioclimatic Variables (1980 – 2010)
Temperature and Variability
Snow Cover and Productivity
Precipitation
Climatic Classification
Growth Phenology and Cycles
World Reference Base (WRB) Soil Resources
32 Soil Reference Groups > Main soil-forming factors and processes
Land Cover Classification System (LCCS) from Copernicus
23 land cover classes (Type vegetation; agricultural and urban uses)
SAGA Topographic Wetness Index (STWI)
Spatial distribution of synthetic soil moisture based on NASADEM data
The RemoTrees repository employs a reproducible and modular structure based on the link2GI within Rstudio, designed to efficiently and consistently manage geospatial workflows (Figure 2). This approach facilitates the integration of external Geographic Information Systems tools such as GDAL, SAGA GIS and Orfeo Tool Box, while systematically organizing data, scripts, and results in a collaborative environment.
Supported WP7 deliverables with metadata workflows and Individual Tree Structural Metrics documentation
Contributed to global data management strategy implementation
All workflows are publicly available through:
Repository: DataPlant Git
Archive: Zenodo DOI 10.5281/zenodo.15635129
The repository includes two fully documented, reproducible workflows:
Standardized geospatial metadata generation pipeline
Spatial model for tree-level structural metrics and sensor placement optimization
Internal monitoring through Git version control and milestone tracking
Metadata validation routines implemented
Compliance with ISO and INSPIRE international standards
Consortium review completed with no significant deviations
Tools developed in WP2 have enhanced the project's capacity for scalable, interoperable solutions. Workflows are currently being deployed in field campaigns and will support expansion to Level 2 sites. External expert evaluation scheduled for future reporting periods.
Lead
Philipps Universität Marburg
Contact: opgenoorth@uni-marburg.de
Philipps Universität Marburg
Contact: mestreru@staff.uni-marburg.de