Questions. Plant cover values in vegetation-plot data are bounded between 0 and 1, and cover is typically recorded in discrete classes with non-equal intervals. Consequently, cover data are skewed and heteroskedastic, which hampers the application of conventional regression methods. Recently developed ordinal beta regression models consider these statistical difficulties. Our primary question is if we can detect species trends in vegetation-plot time series data with this modelling approach. A second question is whether trends in cover have additional value compared to trends in occurrence, which are easier to assess for practitioners. Location. The Netherlands, Western Europe. Methods. We used vegetation-plot data collected from 10.000 fixed plots which were surveyed once every four years during 1999-2022. We used the ordinal zero-augmented beta regression (OZAB) model, a hierarchical model consisting of a logistic regression for presence and an ordinal beta regression for cover. We adapted the OZAB model ... : The national vegetation monitoring scheme consists of more than 10.000 fixed plots in the Netherlands. The program monitors all major terrestrial habitat types except urban areas. Fieldwork is organised on the level of provinces and conducted by professional field workers. These field workers selected the plots and collected vegetation data, using field guidelines to ensure proper selection of plot location and standardisation of data collection at the national level. All vascular plants were visually recorded using the extended Braun-Blanquet cover scale (Van der Maarel, 2007). This data package contains all observations of the species Acer pseudoplantanus, Senecio inaequidens and Caltha palustris from the period 1999 - 2022 recorded in this monitoring scheme. ...