High Andean forests are biodiversity hotspots that also play key roles in the provisioning of vital ecosystem services for neighboring cities. In past centuries, the hinterland of Andean fast-growing cities often experienced a dramatic decline in forested areas, but there are reports that forest cover has been recovering recently. We analyzed aerial imagery spanning the years 1940 to 2007 from nine administrative localities in the Eastern Andean Cordillera of Colombia in order to elucidate precise patterns of forest vegetation change. To this aim, we performed image object-based classification by means of texture analysis and image segmentation. We then derived connectivity metrics to investigate whether forest cover trajectories showed an increase or decrease in fragmentation and landscape degradation. We observed a forest cover recovery in all the examined localities, except one. In general, forest recovery was accompanied by an increase in core habitat areas. The time scale of the positive trends identified partially coincides with the creation of protected areas in the region, which very likely furthered the recovery of forest patches. This study unveils the long-term dynamics of peri-urban high Andean forest cover, providing valuable information on historical vegetation changes in a highly dynamic landscape.

High Andean forests harbor a remarkably high biodiversity and play a key role in providing vital ecosystem services for neighboring cities and settlements. However, they are among the most fragmented and threatened ecosystems in the neotropics. To preserve their unique biodiversity, a deeper understanding of the effects of anthropogenic perturbations on them is urgently needed. Here, we characterized the plant communities of high Andean forest remnants in the hinterland of Bogotá in 32 0.04 ha plots. We assessed the woody vegetation and sampled the understory and epiphytic cover. We gathered data on compositional and structural parameters and compiled a broad array of variables related to anthropogenic disturbance, ranging from local to landscape‐wide metrics. We also assessed phylogenetic diversity and functional diversity. We employed nonmetric multidimensional scaling (NMDS) to select meaningful variables in a first step of the analysis. Then, we performed partial redundancy analysis (pRDA) and generalized linear models (GLMs) in order to test how selected environmental and anthropogenic variables are affecting the composition, diversity, and aboveground biomass of these forests. Identified woody vegetation and understory layer communities were characterized by differences in elevation, temperature, and relative humidity, but were also related to different levels of human influence. We found that the increase of human‐related disturbance resulted in less phylogenetic diversity and in the phylogenetic clustering of the woody vegetation and in lower aboveground biomass (AGB) values. As to the understory, disturbance was associated with a higher diversity, jointly with a higher phylogenetic dispersion. The most relevant disturbance predictors identified here were as follows: edge effect, proximity of cattle, minimum fragment age, and median patch size. Interestingly, AGB was efficiently predicted by the proportion of late successional species. We therefore recommend the use of AGB and abundance of late successional species as indicators of human disturbance on high Andean forests.

We present ReSurveyDunes — the first database of Italian coastal dune vegetation plots, developed through a collaborative network of Italian vegetation scientists. This paper describes the scope of the initiative, provides an overview of the available data, and highlights its key features, research applications, and future potential. ReSurveyDunes currently comprises 972 vegetation plots distributed across 11 Italian regions (Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Lazio, Molise, Sardinia, Sicily, Tuscany, and Veneto). The original plots were surveyed between 1974 and 2009, with a primary focus on herbaceous psammophilous coastal zonation (habitats 1210, 2110, 2120, 2130*, 2210, 2230, and 2240, as defined by the 92/43/EEC Habitats Directive). Resurveys were conducted in 2023 and 2024. Each plot dataset includes (i) a complete list of vascular plant species with cover estimates; (ii) geographic coordinates (latitude and longitude); (iii) sampling dates; and (iv) plot size. Designed to analyze fine-scale temporal trends in Italian coastal vegetation, ReSurveyDunes is a versatile tool for diverse ecological studies. It represents a valuable resource for evidence-based decision-making, enabling targeted conservation and management actions informed by up-to-date ecological data.