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We live-trapped black-tailed prairie dogs on Buffalo Gap National Grassland, South Dakota, 2020-2021. We anesthetized trapped animals (and their fleas) with isoflurane in induction chambers for processing. We combed each individual with a fine-tooth comb for 30 seconds to remove and count fleas. The total flea count from an individual prairie dog was considered an index of flea abundance. We released all animals, after they were recovered from anesthesia, at the location where they were captured. Data were collected on sites treated with fipronil "FipBit" bait pellets for systemic flea control with prairie dogs. Sites were treated with FipBits containing 0.68, 0.71, or 0.83 milligrams of fipronil per FipBit. The...
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This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm)....
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We live-trapped and sampled black-tailed prairie dogs in Badlands National Park and Buffalo Gap National Grassland, South Dakota, 2017-2020. Sampling occurred on sites treated with 0.005% fipronil grain for flea control and plague mitigation, and non-treated sites functioning as experimental baselines. Prairie dogs were trapped, sexed, aged (adult or juvenile by size), weighed to the nearest 5 grams, and marked with ear tags for permanent identification. The length of each prairie dog's right hind foot was measured to the nearest millimeter, and the animal's body condition was indexed as a mass:foot ratio. We evaluated effects of fipronil grain on prairie dog body condition, monthly and annual survival, and reproduction....
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This metadata is for all coverages associated with the vegetation land cover and land use geospatial database for Badlands National Park and surrounding areas. The project is authorized as part of the USGS/NPS Vegetation Mapping Program http://www.usgs.gov/core_science_systems/csas/vip/index.html. The program is being administered by the Biological Resources Division (BRD) of the United States Geological Survey (USGS). The USGS/BRD is responsible for overall management and oversight of all ongoing mapping efforts. This mapping effort was performed by the US Bureau of Reclamation's (USBR) Remote Sensing and GIS Group, Technical Service Center, Denver, CO. The vegetation mapping program is part of a larger Inventory...
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The data are a list of the number and species of fleas that were collected from black-tailed prairie dog burrows in Montana, North Dakota, South Dakota, Colorado, and New Mexico. Fleas were collected by swabbing ~100 burrows at 3 sites at each of 6 sites. Burrows were sampled twice each summer during 2016 and 2017.
This data was used to investigate the invasion of a non-native disease, plague, to a keystone species, prairie dogs, in Conata Basin, South Dakota, United States. We documented the resulting extent of fragmentation and habitat loss in western grasslands using colony boundaries mapped by the USFS every one to three years from 1993 - 2015. Specifically, we assessed how the arrival of plague in 2008, affected the size, shape, and aggregation of prairie dog colonies, an animal species known to be highly susceptible to plague. As expected the colony complex and the patches in colonies became smaller and more fragmented after the arrival of plague; the total area of each colony and the average area per patch within a...
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Data on the efficacy of 5 pulicides as tools for suppressing fleas on black-tailed prairie dogs in Buffalo Gap National Grassland, South Dakota, 2015-2017. Fleas were collected from live-trapped prairie dogs on non-treated (CONTROL) sites and nearby sites treated with pulicides for flea control. Data are from 3 prairie dog colonies (South Exclosure, Cutbank, and Big Foot). We tested the following pulicides: Alpine ALPINE dust (0.25% dinotefuran wih 95% diatomaceous earth), Dusta-cide MALATHION dust (6% malathion), Sevin SEVIN dust (5% carbaryl), Tri-Die TRIDIE dust (1% pyrethrum with 40% amorphous silica and 10% piperonyl butoxide), and FIPRONIL grain (0.005% fipronil). Two sets of data are presented, each with...


    map background search result map search result map Badlands National Park Vegetation Mapping Project - Spatial Vegetation Data State-and-transition simulation model of rangeland vegetation in southwest South Dakota (1969-2050) Data on the Efficacy of Five Pulicides as Tools for Suppressing Fleas on Black-tailed Prairie Dogs, South Dakota, 2015-2017 Fleas collected from black-tailed prairie dog burrows in 2016 and 2017 Data on black-tailed prairie dog body condition, annual and monthly survival, and reproduction on sites treated or not treated with 0.005% fipronil grain for flea control and plague mitigation in South Dakota, USA, 2017-2020 Data on flea control using FipBit fipronil bait pellets with black-tailed prairie dogs, South Dakota, 2020-2021 Data on the Efficacy of Five Pulicides as Tools for Suppressing Fleas on Black-tailed Prairie Dogs, South Dakota, 2015-2017 Data on flea control using FipBit fipronil bait pellets with black-tailed prairie dogs, South Dakota, 2020-2021 Badlands National Park Vegetation Mapping Project - Spatial Vegetation Data Data on black-tailed prairie dog body condition, annual and monthly survival, and reproduction on sites treated or not treated with 0.005% fipronil grain for flea control and plague mitigation in South Dakota, USA, 2017-2020 State-and-transition simulation model of rangeland vegetation in southwest South Dakota (1969-2050) Fleas collected from black-tailed prairie dog burrows in 2016 and 2017