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These data were compiled for a networked field-trial restoration experiment (RestoreNet) that spans the southwestern US, including 21 distributed field sites. The objective of our study was to understand the environmental factors and restoration practices (including seed mixes and soil manipulation) that increase plant establishment and survival to ultimate improve restoration outcomes in dryland environments. These data represent point-in-time plant density and height measurements at our field sites at the time of monitoring. These data were collected at 21 arid and semi-arid sites, located throughout Arizona, Utah, New Mexico, and California. These data were collected by USGS Restoration Assessment and Monitoring...
Categories: Data; Tags: Arizona, Botany, California, Chihuahuan Desert, Climatology, All tags...
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The Long Term Resource Monitoring (LTRM) program employs a destructive harvest method for sampling aquatic vegetation whereby a rake is dragged ~1.5 m over the substrate and plant materials are retrieved. The density of each species of submersed aquatic vegetation (SAV), and of all species combined, are scored based on the amount of plant material collected on the teeth of each rake. Plant density (PD) scores are ordered and vary from 0 (no plants captured) to 5 (80-100% of rake teeth covered). The PD score of 1 has represented the vast majority of all non-zero values since 1998 and is associated with a wide range of biomass (e.g. <1g to 694g fresh weight in Pools 4 and 8 during the 2017 field season). However,...


    map background search result map search result map Evaluation of a Trace Plant Density Score in Long Term Resource Monitoring (LTRM) Vegetation Monitoring Data RestoreNet subplot data for 21 sites within major dryland ecoregions throughout the southwestern United States, 2018 - 2021 Evaluation of a Trace Plant Density Score in Long Term Resource Monitoring (LTRM) Vegetation Monitoring Data RestoreNet subplot data for 21 sites within major dryland ecoregions throughout the southwestern United States, 2018 - 2021