This data package includes data that were between 2007 and 2024 as part of the Southern Colorado Plateau Network's long-term integrated upland monitoring protocol in 10 national park units (AZRU, BAND, CHCU, GLCA, GRCA, MEVE, PEFO, PETR, WACA, WUPA) and 17 distinct ecological sites. Cover class, percent cover (based on cover class midpoints) and nested frequency of plant species and lifeform (functional) groups, cover of soil surface features, count of seedlings by species and size class, count of saplings by species and size class and status and diameter of overstory trees, soil stability ratings, soil texture and depth. Reports and subsequent analyses can be found in Cross References.

This dataset provides the results of the characterization of shrubland vegetation at two study areas in southern Idaho, USA: the Reynolds Creek Experimental Watershed (RCEW) and Hollister. Data were collected in September and October 2014. In each study area, several 10-m x 10-m plots were randomly established that are representative of the local dominant vegetation types. Measurements are reported for both plot and individual shrub attributes. Plot measurements include shrub density and biometric data, percent shrub cover derived from line intercept transects, percent plant species and bare ground cover derived from photo analysis, and average LAI. Measurements for selected individual shrubs include height, width, length, number of stems, and LAI. Leaf samples were collected for determining LAI, specific leaf area (SLA), carbon and nitrogen concentrations, and isotopic nitrogen and carbon.

These datasets represent USGS-led coastal wetland vegetation survey and mapping efforts at Metzger Marsh, part of the Ottawa National Wildlife Refuge (Ohio, USA) along the coast of western Lake Erie between 1994 and 2022. Vegetation quadrat data provide percent cover estimates per sampling quadrat and overall mean percent cover (MPC) values per species by vegetation type from 1994, and 1996-2010. Vegetation mapping (a.k.a., "photointerpretation") geospatial datasets provide full site cover visualizations and feature class information by vegetation type from 1994,1996-2002, and 2022.