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Blue oak tree-ring chronologies correlate highly with winter–spring precipitation totals over California, with Sacramento and San Joaquin river stream flow, and with seasonal variations in the salinity gradient in San Francisco Bay. The convergence of fresh and saline currents can influence turbidity, sediment accumulation, and biological productivity in the estuary. Three selected blue oak chronologies were used to develop a 625-year-long reconstruction of the seasonal salinity gradient, or low salinity zone (LSZ), which provides a unique perspective on the interannual-to-decadal variability of this important estuarine habitat indicator. The reconstruction was calibrated with instrumental LSZ data for the winter–spring...
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The data include ages and locations of presence/absence surveys for sagebrush (Artemesia tridentata) on the Bureau of Land Management Rio Grande del Norte National Monument, New Mexico. We sampled cross-sections of sagebrush along 11 General Land Office section survey lines and conducted growth ring analysis to produce inner-ring dates for 93 sagebrush plants. The presence/absence surveys were conducted along the same section lines as the growth ring samples and were compared to the original surveys from 1881 to assess vegetation change on the landscape.
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U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of July to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. These data contain all raw field metrics from the in-channel habitat assessment as well as the rapid riparian assessment. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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These data were compiled for research pertaining to the effects of stand density on growth rates in semi-arid forests. Increasing heat and aridity in coming decades is expected to negatively impact tree growth and threaten forest sustainability in dry areas. Maintaining low stand density has the potential to mitigate the negative effects of increasingly severe droughts by minimizing competitive intensity. By inspecting growth rates and the climate and soil moisture conditions that drive these growth rates we can understand better the positive effects of reducing stand density and the specific dynamics that are beneficial to growth.
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This dataset contains two phases of research. The first dataset includes several variables that were sampled across aspen stands in the Santa Rosa, Ruby, and Jarbidge mountain ranges (Great Basin, Northern Nevada, USA) in 2010 and 2011. Across 101 aspen sites, several plot-level attributes were collected (e.g. elevation, slope, aspen stand type). For each plot, data describing live trees (both those less than 7.5 cm diameter and those greater than/equal to 7.5 cm) are included, such as species, diameter, and age. The data set also includes information for dead trees greater than/equal to 7.5 cm diameter (e.g. species, location, diameter). The second dataset includes tree ring measurements (for live trees greater...


map background search result map search result map Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024) Stand density and climate data in the Taylor Woods study area (Fort Valley Experimental Forest) on the Colorado Plateau in Northern Arizona, 1961-2011 Shenandoah Valley Raw Habitat and Riparian Assessment Data (2021) Sagebrush ages and presence/absence locations in Rio Grande del Norte National Monument, New Mexico Stand density and climate data in the Taylor Woods study area (Fort Valley Experimental Forest) on the Colorado Plateau in Northern Arizona, 1961-2011 Sagebrush ages and presence/absence locations in Rio Grande del Norte National Monument, New Mexico Northern Nevada aspen (Populus tremuloides) data (2010-2011) (ver. 2.0, January 2024) Shenandoah Valley Raw Habitat and Riparian Assessment Data (2021)