Soil Restoration and Monitoring Guidelines

For this, using the BACI design (Before-After-Control-Impact) is a good strategy, which is a scientific method to assess the effects of an intervention by comparing conditions before and after the event. The same is true for the soil compartment, restoration cannot be monitored properly without mapping the soil capability as it provides critical insights into the intrinsic potential of a site. Accurate mapping allows practitioners to identify areas of degradation, prioritize sites for intervention, monitor restoration progress, and assess ecosystem recovery over time. Maps of underlying geology and soil types are particularly important, as they provide essential baseline information that influences restoration strategies and long-term forest development. Comparing these maps to relevant literature, such as journal articles on forest or soil conditions in the region or historical land use studies, further strengthens site interpretations by connecting field observations with broader regional patterns and historical context. High-resolution spatial data, combined with advances in remote sensing, geographic information systems (GIS), and field surveys, enables a precise understanding of landscape conditions both before and after restoration interventions. Modern technologies such as drone-based aerial surveys, LiDAR (Light Detection and Ranging), and satellite imagery (e.g., Sentinel) have vastly improved the ability to map forest structure, canopy cover, species composition, and soil properties across large and often inaccessible areas. Field-based site observations however, remain crucial and should follow standardized methods for soil description, such as those outlined in national or international soil survey guidelines (e.g., FAO Guidelines for Soil Description). These standardized descriptions can be integrated with GIS to build comprehensive spatial databases that support targeted, evidence-based forest restoration planning. Soil texture is an important soil property to evaluate in this context. Soil texture serves as a fundamental, non-modifiable property that underpins many soil functions and processes, yet it cannot be altered through restoration efforts. It refers to the relative proportions of sand, silt, and clay particles and plays a crucial role in shaping the physical and chemical properties of soil. The texture will be determining for the total amount and distribution of pore space, which affects water retention, drainage, and aeration, making soil texture a key factor for plant growth (Eshel et al., 2004; van Es et al., 2017). Understanding soil texture variability is essential for developing site-specific management strategies. It is also a key characteristic that influences the carbon cycle in forest - affecting both tree growth, soil organic matter retention and
microbial activity- and can therefore modulate the impacts of climate change (Gómez-Guerrero & Doane, 2018). Within SUPERB, soil texture was determined using a Beckman-Coulter LS 13 320. When working in the field and immediate information about soil texture is needed, the hand texture method offers a quick and practical assessment. This technique allows you to estimate soil texture by feeling the soil’s consistency, grittiness, and stickiness. This method ideally should be done by experienced people (Vogt et al., 2015). In addition to mapping capability, it is important to clearly understand the underlying degradation problems affecting the forest sites. This includes identifying the causes of degradation, assessing current ecological conditions and recognizing site-specific limitations or threats. Further, it is important to establish clear restoration targets. They define the desired outcomes of a restoration project and provide a measurable framework for success. They should be based on ecological reference conditions, site potential, and broader landscape objectives. Clear targets guide the selection of appropriate species, management actions, and monitoring indicators. They also help align stakeholder expectations and enable adaptive management if conditions change.