Continuous monitoring of forest canopy structure and phenology is pivotal for the assessment of ecosystem responses to environmental variability and changes. The present study evaluated the use of repeat digital trail cameras as a low-cost, flexible, and accessible in situ monitoring solution for quantifying daily canopy attributes, including effective leaf area index (Le) and canopy cover. A trial camera monitoring network (CrowNet) was established encompassing 20 forest stands in Italy, under different management and environmental conditions, resulting in over 44,000 daily images collected over three years. We demonstrated that taking the mean daily canopy attribute allowed to obtain smooth time series from trail cameras, from which phenological transition dates can be inferred. Daily canopy attributes were validated against manual digital cover photography measurement. To further explore the applicability of this monitoring solution, we performed a comparison between daily Le time series derived from a subset of trail cameras located in beech forests and data collected by multitemporal UAV LiDAR. Results demonstrated the close agreement between the two methods across the entire phenological period (start and end of season). We also illustrated use of continuous trail camera estimates to calibrate a vegetation index (NDVI) to infer leaf area and canopy cover from optical multi-temporal UAV data. We further investigated use of trail camera to detect species-specific differences in tree phenology from time series acquired in a mixed oak-hornbeam forest. We found different canopy structure and phenological transition dates in three broadleaved species (oak, ash, hornbeam), supporting the effectiveness of trail cameras for species-oriented phenology monitoring. We conclude that trail cameras provide a reliable solution for daily canopy monitoring, offering a significant cost-effective and flexible alternative to traditional field methods and providing potential to calibrate, validate or integrate remotely-sensed information. However, camera failures during adverse weather, and the need for more efficient image data quality checking procedures, still represent open challenges. Future improvements, such as weatherproof housing and automated pre-processing screening procedures, are therefore recommended for making trail camera fully operational in ground canopy and phenology monitoring. © 2025 Elsevier B.V.

Biodiversity restoration is pivotal to enhance natural ecological processes in riparian ecosystems, affected by intensive human impact. Improving the riparian area functionality through new plantations is an effective Nature-based Solution. Poplar plantations have great potential for preventing soil erosion and providing habitats, but their impact on biodiversity has been little studied. Aims of this study were to: (1) investigate the effect of different poplar woodland management on vascular species diversity; (2) define the main drivers of vascular plant species richness, community composition, invasiveness and functional strategies. In three sites (Po river, Italy), an integrated survey protocol was applied to assess vascular species diversity, stand structure and soil properties. For each site, three stands with different management (cultivated, semi-natural and natural) were surveyed. Differences among all stand structural parameters and the management types were found. Tree diameter did not change between natural and seminatural stands but mean quadratic diameter of seminatural stands (28.1 cm) was similar to cultivated ones (26.8 cm). While cultivated stands showed the highest species richness (mean 28 species), semi-natural stands showed the highest number of native species (82 %) and an efficient soil N cycle (microbial N limitation, MNL < 0). The total Ca and MNL in soil resulted the main drivers of species diversity in the studied poplar stands. Semi-natural stands highlighted the best trade-off amongst vascular plant species diversity, invasiveness and soil process. The used integrated approach was effective and extendable to ecological and functional assessment of poplar riparian forests under different management gradients. © 2025 The Authors