Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon 2012 and 2013
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In this study, the U.S. Geological Survey investigated the use of insects as bioindicators of climate change in sagebrush steppe shrublands and grasslands in the Upper Columbia Basin. The research was conducted in the Stinkingwater and Pueblo mountain ranges in eastern Oregon on lands administered by the Bureau of Land Management. We used a “space-for-time” sampling design that related insect communities to climate and weather along elevation gradients. We analyzed our insect dataset at three levels of organization: (1) whole-community, (2) feeding guilds (detritivores, herbivores, nectarivores, parasites, and predators) and (3) orders within nectarivores (i.e., pollinators). This dataset contains information about insects, vegetation, and weather in 2012 and 2013 at four sites that span elevation gradients in sagebrush steppe habitats in eastern Oregon. Each site contained nine sampling plots, arranged in groups of three at low, mid, and high elevations. Insects were collected using blue and yellow Japanese beetle flight traps and pitfall traps several times throughout the active season in 2012 and 2013. All insects were identified to the level of family and abundance. Abundances of families collected in pitfall traps, blue Japanese beetle flight traps, and yellow Japanese beetle flight traps are reported separately. Weather data was collected using iButton data loggers and weather stations. Hourly data was summarized into daily values which are reported here. When weather stations were not available, weather variables were estimated using data from nearby NOAA weather stations (see methods section of associated publication for details). Vegetation density data were collected using photo-grid analysis and point-quarter analysis. Vegetation data were collected at every sampling plot once per year.
Influence of wildfire and beetle-caused canopy mortality on water temperature regimes in cutthroat trout streams, Rocky Mountain National Park, CO.
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This dataset was collected to build on past and ongoing monitoring and research efforts within Colorado’s Rocky Mountain National Park (RMNP). Specifically, the data were collected to test the hypothesis that reductions in canopy cover due to natural disturbances (i.e. wildfire and beetle kill) result in increases in water temperature, or the longitudinal thermal gradient of a stream. Data values include stream temperature paired with light intensity data, and air temperature data to determine the influence of riparian canopy condition and longitudinal warming across a 1 km reach. Two control streams were selected: Ouzel Creek, which has virtually no riparian canopy due to a previous wildfire; and Hunters Creek, which has a dense and healthy riparian canopy. In search of similar size streams with variable riparian conditions, the authors discovered that the beetle caused tree mortality remained mostly upland within RMNP, whereas the riparian canopy appeared healthy and much less impacted along stream corridors. Instruments were deployed in the stream with the most potential for variability, Coney Creek, in 2014. Eventually two additional streams were investigated on the western side of RMNP: Columbine Creek, which has minor beetle caused mortality within the riparian canopy; and Bowen Gulch (outside of RMNP), which displays a breif 1 kilometer (km) reach of beetle impacted canopy located between dense riparian canopy and a wetland grass meadow. The downstream reach terminus is rendered as 0 meters (m) and each monitoring station is located upstream at 250 meter intervals over a 1km reach.
Insect Emergence from Arctic Coastal Plain Thaw Ponds, 2012-2013
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This dataset provides information on the identity and number of insects that emerged from thaw pond basins on the central Arctic Coastal Plain, Alaska, during the summer growing season in 2012 and 2013. Collections were made using passive floating emergence traps in pond centers and margins from four types of ponds: low centered polygons, troughs, small coalescent, and large coalescent. A single table provides detail on the family level identity and number of insects captured, the day and year of capture, and the duration of trapping.
Data from: Responses to environmental variability by herbivorous insects and their natural enemies within a bioenergy crop, Miscanthus x giganteus
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,Description: This dataset consists of field data (arthropods, nematodes and NDVI) collected over the course of 6 field excursions in 2015 and 2016 near TyTy, GA, in a field used for growing Miscanthus x giganteus. It also includes interpolated values of soil measurements collected in 2015 and meteorological data collected on an adjacent farm. Point-in-time measurements include all meteorological, NDVI, arthropod and nematode measurements and their derivatives. Fixed values were measurements that were held constant across all sampling dates, including location, terrain and soils measurements and their derivatives.,Dawn Olson and Jason Schmidt collected and processed arthropod count data. Jason Schmidt collected and processed spider count data and computed spider diversity. Richard Davis collected and processed nematode count data. Alisa Coffin collected and processed NDVI data and positional locations. Tim Strickland collected and processed soils data and Alisa Coffin interpolated soils values using kriging to derive values at arthropod sample locations. David Bosch collected and processed meteorological data. Lynne Seymour provided statistical expertise in deriving any estimated values (phloem feeders, parasitoids, spiders, and natural enemies). Alisa Coffin derived terrain data (elevation, slope, aspect, and distances) from publicly available datasets, transformed values (SI, WI, etc), carried out the geographically weighted regression analysis and calculated C:SE values, harmonized the full dataset, and compiled it using Esri's ArcGIS Pro 2.5. Methods for most data are published in the accompanying paper and associated supplements.,Questions about dataset development and management should be directed to Alisa Coffin (alisa.coffin@usda.gov). This work was accomplished as a joint USDA and University of Georgia project funded by a cooperative agreement (#6048-13000-026-21S). This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture.,At request of the author, the data resources are under embargo. The embargo will expire on Fri, Jan 01, 2021.,
Responses of Upland Forest Invertebrates to Climatic Warming: Understanding the Past to Predict and Manage for the Future.
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The study includes lower elevation sites outside the park. Wood-feeding insects were chosen because of the importance of their roll in the forest ecosystem, their relative abundance, and their relative ease to work with. While the original study included carpenter bees, crickets, millipedes and beetles, not all of the target species could be located so the study focuses on wood roaches, a single genus of centipede, and a single genus of termite.
Adult net-spinning caddisfly (Hydropsyche spp.) catch rates and morphology from large rivers of the southwestern United States, 2015-2016
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These data describe the distribution and abundance of Hydropsyche, a widespread and diverse genus of net-spinning caddisflies, in the Colorado River Basin. Abundance data, measured as catch rates, were collected by citizen scientists using light traps. We subsampled Hydropsyche spp. from light trap samples collected throughout the Colorado River Basin and measured the lengths and widths of mesothoracic tibia and first tarsal segments. Samples and measurements were processed at Grand Canyon Monitoring and Research Center in Flagstaff, AZ.