Filters: Tags: plant species (X)9 results (89ms)
This website provides access to active links for data collected at the Santa Rita Experimental Range. Included in the links are access to shapefiles, excel files, raster and other forms of data on precipitation, vegetation, animals and other subjects.
These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2 quadrat frames, locations and elevations of those sampling frames, slope and aspect, sample dates, temperature and precipitation data, and flood frequency parameters were either recorded in the field or calculated. Annual and seasonal climate variables were estimated from eight weather stations distributed along the river corridor...
Knowledge about the condition of vegetation cover and composition is critical for assessing the structure and function of ecosystems. To effectively quantify the impacts of a rapidly changing environment, methods to track long-term trends of vegetation must be precise, repeatable, and time- and cost-efficient. Measuring vegetation cover and composition in arid and semiarid regions is especially challenging because vegetation is typically sparse, discontinuous, and individual plants are widely spaced. To meet the goal of long-term vegetation monitoring in the Sonoran Desert and other arid and semiarid regions, we determined how estimates of plant species, total vegetation, and soil cover obtained using a widely-implemented...
Long-term precipitation reduction experiment in the Colorado Plateau - Survival and mortality data from 2010 to 2018
From 2011-2018 USGS biologists recorded vegetation and biological soil crust (BSC) cover by species and tracked survival of tagged individual plants (388 in total) across 40 locations where paired experimental plots had been installed in 2010. Plant cover was visually estimated using four 75 x 100 cm survey frames. Each site contained a two plots measuring 1.5 by 2.0 meteres: a control plot and a plot covered by a shelter that excluded 35% of incoming precipitation. Plots were selected to represent shallow vs. deep soils, sandstone vs. shale parent material, and dominant plant species on the Colorado Plateau around Moab, Utah. We used an information theoretic approach using generalized linear models to determine...
Invasive pests and plant species locations. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA
This data package contains the final combined field sampling data collected by the USGS July 2013 and July-August 2015 at three active uranium mines (Canyon Rim Mine, Pinenut Mine, and Arizona 1 Mine) as well as two reference sites (Little Robinson Tank and EZ2 Pipe) in northwestern Arizona. Vegetation and soils were assessed by using line-point intersect (LPI) methods and estimates of plant species richness. In addition, triplicate tissue samples for three functional groups (graminoids, forbs, and shrubs) were collected at plots around each site to be analyzed for tissue contaminant concentrations. There are three separate shapefiles depicting A) Point locations for the mine study sites (the center of the mine...
A comparison of honey bee-collected pollen from working agricultural lands using light microscopy and ITS metabarcoding datasets
Here we compare pollen identification results derived from light microscopy and DNA sequencing techniques of a robust number of samples collected from honey bee colonies embedded within intensive agricultural landscapes in the Northern Great Plains. We collected pollen samples from colonies within 6 apiaries in 2010 and 2011. For each pollen sample, we identified pollen grains via light microscopy and provide the number of grain counts-per-million. A separate aliquot of each pollen sample subjected to light microscope identification was also used for DNA sequencing analysis. We provide the plant operational taxonomic unit (OTU) for all base pair reads as the number of reads-per-million.
These data were compiled to investigate differentiation in physiological activity varies through time for different functional groups. These include the seasonal progress of 13 plant species representing perennial C3 shrub, C3 grass, C4 grass, and annual forb functional groups of the Colorado Plateau, USA. These data can be used to test for differences in carbon assimilation strategies (SeasonalEcophyAciData) and how photosynthetic rates related to climate (SeasonalEcophyMonthlyData). Data can be arranged at the seasonal, annual, species-, or functional group-levels to compare multi-level processes.