Large amplitude aeromagnetic and gravity anomalies over a ~9500 km2 area of northeast Iowa and southeast Minnesota have been interpreted to reflect the northeast Iowa intrusive complex (NEIIC), a buried intrusive igneous complex composed of mafic/ultramafic rocks in the Yavapai Province (1.8–1.7 Ga). Hundreds of meters of Paleozoic sedimentary cover and a paucity of basement drilling have prevented detailed studies of the NEIIC. Long considered, but not proven, to be related to the ~1.1 Ga Midcontinent Rift System (MRS), the NEIIC is comparable in areal extent to the richly mineralized Duluth Complex and is similarly located near the margin of the MRS. New geochronological and geophysical data together support an MRS affinity for the NEIIC. A dike swarm imaged in aeromagnetic data is cut by intrusions of the NEIIC, and a new apatite U-Pb date of ~1170 Ma on one of the dikes thus represents a maximum age for the NEIIC. A minimum age constraint is suggested by (1) large-volume magmatism associated with the MRS that was the last such event to affect the region; and (2) the presence of reversely magnetized dikes, similar in character to MRS-related dikes elsewhere, that cut several intrusions of the NEIIC. The NEIIC is largely characterized by the presence of multiple zoned intrusions, many of which contain large volumes of mafic-ultramafic rocks and have strong geophysical similarities to alkaline intrusive complexes elsewhere, including the MRS-related Coldwell Complex of Ontario. The largest of the zoned intrusions are ~40 km in diameter and are interpreted to have thicknesses of many kilometers. Suspected faults, alignments of intrusions, and intrusive margins tend to be aligned along northwest and northeast trends that match the trends of the Belle Plaine fault zone and Fayette structural zone, both previously interpreted as pre-MRS, possibly lithospheric-scale discontinuities that may have controlled NEIIC emplacement. These interpretations collectively imply notable potential for the NEIIC to host several different types of undiscovered base metal and critical mineral deposits.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2020.105845","usgsCitation":"Drenth, B.J., Souders, A., Schulz, K.J., Feinberg, J.M., Anderson, R., Chandler, V.W., Cannon, W.F., and Clark, R., 2020, Evidence for a concealed Midcontinent Rift-related northeast Iowa intrusive complex: Precambrian Research, v. 347, 105845, 23 p., https://doi.org/10.1016/j.precamres.2020.105845.","productDescription":"105845, 23 p.","ipdsId":"IP-117960","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":456217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2020.105845","text":"Publisher Index Page"},{"id":378096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.2744140625,\n 41.96765920367816\n ],\n [\n -91.49414062499999,\n 43.197167282501276\n ],\n [\n -92.59277343749999,\n 44.08758502824516\n ],\n [\n -93.07617187499999,\n 43.96119063892024\n ],\n [\n -92.8125,\n 42.58544425738491\n ],\n [\n -92.59277343749999,\n 41.244772343082076\n ],\n [\n -92.021484375,\n 41.178653972331674\n ],\n [\n -91.23046875,\n 41.60722821271717\n ],\n [\n -91.2744140625,\n 41.96765920367816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"347","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":797835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souders, A. Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":239820,"corporation":false,"usgs":false,"family":"Souders","given":"A. Kate","affiliations":[],"preferred":false,"id":797836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feinberg, Joshua M.","contributorId":194010,"corporation":false,"usgs":false,"family":"Feinberg","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":797838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Raymond R.","contributorId":22430,"corporation":false,"usgs":true,"family":"Anderson","given":"Raymond R.","affiliations":[],"preferred":false,"id":797839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Val W.","contributorId":117484,"corporation":false,"usgs":true,"family":"Chandler","given":"Val","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":797840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":797842,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215068,"text":"70215068 - 2020 - Structural controls on slope failure within the western Santa Barbara Channel based on 2D and 3D seismic imaging","interactions":[],"lastModifiedDate":"2020-10-07T13:53:27.178999","indexId":"70215068","displayToPublicDate":"2020-06-29T08:42:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7143,"text":"Geochemistry, Geophysics, and Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Structural controls on slope failure within the western Santa Barbara Channel based on 2D and 3D seismic imaging","docAbstract":"The Santa Barbara Channel, offshore California, contains several submarine landslides and ample evidence for incipient failure. This region hosts active thrust and reverse faults that accommodate several mm/yr of convergence, yet the relationships between tectonic deformation and slope failure remain unclear. We present 3‐D and 2‐D multichannel seismic reflection (MCS) data sets, multibeam bathymetry, and chronostratigraphic constraints to investigate the controls on slope failure. Splay faulting along the North Channel Deformation Trend (NCDT) coincides with a distinct zone of compressional uplift and onlapping of steeply dipping Quaternary strata. The NCDT is spatially correlated with seafloor fissures, and 3‐D seismic analyses reveal an intricate system of en echelon reverse faults that offset sediments younger than ~25 ka. Localized uplift zones are located between faults, one of which underlies the Gaviota landslide headscarp. We observe a direct relationship between slope failure and along‐strike variations in the tectonostratigraphic framework. Based on geophysical properties at Ocean Drilling Program (ODP) Site 893, we predict a trend in compaction and porosity reduction in the basin that drives pore fluids up‐dip, toward the zone of onlap above the NCDT, thus reducing slope stability. This interplay between tectonic, sedimentary, and fluid‐flow processes along the NCDT has created a confluence of preconditioning factors, with Gaviota and Goleta landslides being distinguished from the surrounding slopes by their position above the NCDT. The distribution of seafloor fissures suggests sections of the slope remain unstable and are prone to future landsliding. These results provide insights into the processes and 3‐D feedbacks that lead to slope instability along other convergent margins.
Mars has several different types of slope feature that resemble aqueous flows. However, the current cold, dry conditions are inimical to liquid water, resulting in uncertainty about its role in modern surface processes. Dark slope streaks were among the first distinctive young slope features to be identified on Mars and the first with activity seen in orbital images. They form markings on steep slopes that can persist for decades, and the role of water in their formation remains a matter of debate. Here I analyse the geomorphic features of new slope streaks using high-resolution orbital images. Comparison of images before and after streak formation reveal how this process affects the surface and provides information about the cause. These observations demonstrate that slope streaks erode and deposit material in some instances. They also reveal that streaks can jump slopes and may be erosive very near their termini. These observations support a formation model where dark slope streaks form as ground-hugging, low-density avalanches of dry surface dust. Such streaks need not be treated as Special Regions for planetary protection.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41561-020-0598-x","usgsCitation":"Dundas, C.M., 2020, Geomorphological evidence for a dry dust avalanche origin of slope streaks on Mars: Nature Geoscience, v. 13, p. 473-476, https://doi.org/10.1038/s41561-020-0598-x.","productDescription":"4 p.","startPage":"473","endPage":"476","ipdsId":"IP-110925","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":456222,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8243413","text":"External Repository"},{"id":385891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"13","noUsgsAuthors":false,"publicationDate":"2020-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":816346,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70210865,"text":"70210865 - 2020 - Changes in capture rates and body size among vertebrate species occupying an insular urban habitat reserve","interactions":[],"lastModifiedDate":"2020-09-10T20:02:03.342722","indexId":"70210865","displayToPublicDate":"2020-06-29T07:48:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Changes in capture rates and body size among vertebrate species occupying an insular urban habitat reserve","docAbstract":"Long‐term ecological monitoring provides valuable and objective scientific information to inform management and decision‐making. In this article, we analyze 22 years of herpetofauna monitoring data from the Point Loma Ecological Conservation Area (PLECA), an insular urban reserve near San Diego, CA. Our analysis showed that counts of individuals for one of the four most common terrestrial vertebrates declined, whereas counts for other common species increased or remained stable. Two species exhibited declines in adult body length, whereas biomass pooled over the five most common species increased over time and was associated with higher wet season precipitation. Although the habitat and vegetation at PLECA have remained protected and intact, we suspect that changes in arthropod communities may be driving changes in the abundance, growth, and development of insectivorous lizards. This study underscores the value of long‐term monitoring for establishing quantitative baselines to assess biological changes that would otherwise go undetected.
Microsoft released a U.S.-wide vector building dataset in 2018. Although the vector building layers provide relatively accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High-Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each U.S. state, excluding Alaska and Hawaii: (1) total footprint coverage, (2) number of unique buildings intersecting each cell, (3) number of building centroids falling inside each cell, and area of the (4) average, (5) smallest, and (6) largest area of buildings that intersect each cell. These values are represented as raster layers with 30 m cell size covering the 48 conterminous states. We also identify errors in the original building dataset. We evaluate precision and recall in the data for three large U.S. urban areas. Precision is high and comparable to results reported by Microsoft while recall is high for buildings with footprints larger than 200 m2 but lower for progressively smaller buildings.
Energy is an integral part of society. The major US energy sources of fossil fuels (coal, oil, natural gas); biofuels (ethanol); and wind are concentrated in grassland ecosystems of the Great Plains. As energy demand continues to increase, mounting pressures will be placed on North American grassland systems. In this review, we present the ecological effects of energy development and production on grassland systems. We then identify opportunities to mitigate these effects during the planning, construction, and production phases by using informed methodology and improved technology. Primary effects during energy development include small- and large-scale soil disturbance and vegetation removal as small patches of grasslands are used to host oil or gas wells, wind turbine pads, associated roadways, and pipelines or through the conversion of large grassland areas to biofuel croplands. Direct habitat loss or habitat fragmentation can affect wildlife directly through increased mortality or indirectly through reduction in habitat quantity and quality. During energy production, air and water quality can be affected through regular emissions or unplanned spills. Energy development can also affect the economy and health of local communities. During planning, energy development and production effects can be reduced by carefully considering effects on grasslands during siting and even by selecting different energy source types. During construction, effects on soil and plant systems can be minimized by eliminating weed populations before disturbance, salvaging and stockpiling topsoil for future revegetation, and harvesting native local seed for postsite restoration. During energy production operations, noise and road traffic reduction plans and atmospheric monitoring will enable more informed mitigation measures. Continued research on energy development effects and mitigation measures is necessary to establish best management practices beneficial to grassland health while providing needed energy for the United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2020.05.003","usgsCitation":"Ott, J.P., Hanberry, B.B., Khalil, M., Paschke, M.W., Post van der Burg, M., and Prenni, A.J., 2020, Energy development and production in the Great Plains: Implications and restoration opportunities: Rangeland Ecology and Management, v. 78, p. 257-272, https://doi.org/10.1016/j.rama.2020.05.003.","productDescription":"16 p.","startPage":"257","endPage":"272","ipdsId":"IP-109053","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2020.05.003","text":"Publisher Index Page"},{"id":376427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Illinois, Indiana, Iowa, Kansas, Minnesota, Missouri, Montana, Nebraska, New Mexico, North Dakota, Oklahoma, South Dakota, Texas, Wisconsin, Wyoming","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.00976562499999,\n 49.15296965617042\n ],\n [\n -113.73046875,\n 48.86471476180277\n ],\n [\n -106.787109375,\n 40.64730356252251\n ],\n [\n -105.205078125,\n 34.016241889667015\n ],\n [\n -102.74414062499999,\n 30.675715404167743\n ],\n [\n -97.294921875,\n 30.372875188118016\n ],\n [\n -94.658203125,\n 36.73888412439431\n ],\n [\n -86.66015624999999,\n 39.639537564366684\n ],\n [\n -87.978515625,\n 42.09822241118974\n ],\n [\n -93.1640625,\n 44.276671273775186\n ],\n [\n -95.00976562499999,\n 49.15296965617042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ott, Jacqueline P.","contributorId":229363,"corporation":false,"usgs":false,"family":"Ott","given":"Jacqueline","email":"","middleInitial":"P.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":793006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanberry, Brice B. 0000-0001-8657-9540","orcid":"https://orcid.org/0000-0001-8657-9540","contributorId":229364,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":793007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khalil, Mona 0000-0002-6046-1293","orcid":"https://orcid.org/0000-0002-6046-1293","contributorId":207187,"corporation":false,"usgs":true,"family":"Khalil","given":"Mona","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":793008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paschke, Mark W. 0000-0002-6345-5905","orcid":"https://orcid.org/0000-0002-6345-5905","contributorId":229365,"corporation":false,"usgs":false,"family":"Paschke","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":793009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":793010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prenni, Anthony J. 0000-0002-0256-5166","orcid":"https://orcid.org/0000-0002-0256-5166","contributorId":229366,"corporation":false,"usgs":false,"family":"Prenni","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793011,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210866,"text":"70210866 - 2020 - Using saline or brackish aquifers as reservoirs for thermal energy storage, with example calculations for direct-use heating in the Portland Basin, Oregon, USA","interactions":[],"lastModifiedDate":"2020-06-30T12:38:45.776529","indexId":"70210866","displayToPublicDate":"2020-06-28T07:32:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Using saline or brackish aquifers as reservoirs for thermal energy storage, with example calculations for direct-use heating in the Portland Basin, Oregon, USA","docAbstract":"Tools to evaluate reservoir thermal energy storage (RTES; heat storage in slow-moving or stagnant geochemically evolved permeable zones in strata that underlie well-connected regional aquifers) are developed and applied to the Columbia River Basalt Group (CRBG) beneath the Portland Basin, Oregon, USA. The performance of RTES for heat storage and recovery in the Portland Basin is strongly dependent on the operational schedule of heat injection and extraction. We examined the effects of the operational schedule, based on an annual solar hot water supply pattern and a building heating demand model, using heat and fluid flow simulations with SUTRA. We show RTES to be feasible for supply of heating energy for a large combined research/teaching building on the Oregon Health and Science University South Waterfront expansion, an area of planned future development. Initially, heat is consumed to increase the reservoir temperature, and conductive heat loss is high due to high temperature gradients between the reservoir and surrounding rock. Conductive heat loss continues into the future, but the rate of heat loss decreases, and heat recovery efficiency of the RTES system increases over time. Simulations demonstrate the effects of varying heat-delivery rate and temperature on the heat production history of the reservoir. If 100% of building heating needs are to be supplied by combined solar/RTES, then the solar system must be sized to meet building needs plus long-term thermal losses (i.e., conductive losses once the system is heated to pseudo-steady state) from the RTES system. If the solar heating system barely meets these criteria, then during early years, less than 100% of the building demand will be supplied until the reservoir is fully-heated. The duration of supplying less than 100% of building demand can be greatly shortened by pre-heating the reservoir before building heating operations or by adding extra heat from external sources during early years. Analytic solutions are developed to evaluate efficacy and to help design RTES systems (e.g., well-spacing, thermal source sizing, etc.). A map of thermal energy storage capacity is produced for the CRBG beneath the Portland Basin. The simulated building has an annual heat load of ∼1.9 GWh, and the total annual storage capacity of the Portland Basin is estimated to be 43,400 GWh assuming seasonal storage of heat yields water from which 10 °C can be extracted via heat exchange, indicating a tremendous heating capacity of the CRBG.
The National Energy Technology Laboratory, the Japan Oil, Gas and Metals National Corporation, and the U.S. Geological Survey are leading an effort to conduct an extended gas hydrate production test in northern Alaska. The proposed production test required the drilling of an initial stratigraphic test well (STW) to confirm the geologic conditions of the proposed test site. This well was completed in December 2018 in cooperation with the Prudhoe Bay Unit Interest Owners. With the success of the STW, the project leadership group is developing plans to drill a geologic data well and a production test well. Drilling plans for the STW were advanced in late 2018. The Prudhoe Bay Unit Hydrate-01 well was spudded on 10-December-2018. Downhole data acquisition was completed on 25-December-2018 and the rig was released on 01-January-2019. The STW was drilled in two sections. The surface hole was drilled to a depth of 2248 ft (MD, measured depth) and cased, and the “production hole section” was drilled to a depth of 3558 ft (MD) and also cased. A thermally chilled mineral-oilbased mud was used to maintain drillhole stability and quality of the borehole acquired data. The primary borehole data were acquired using a suite of Schlumberger logging-while-drilling tools. To gather grain size and other data needed to inform the design of the production test well, sidewall pressure cores were collected using Halliburton’s CoreVault tool. In addition to confirming the geologic conditions at the test site, the Hydrate-01 well was designed to serve as a monitoring well during future field operations. Therefore, two sets of fiber optic cables, each including bundled Distributed Acoustic Sensors (DAS) and Distributed Temperature Sensors (DTS), were clamped to the outside of the well casing and cemented in place. In March 2019, the project team worked with SAExploration to acquire 3D DAS Vertical Seismic Profiling (VSP) data in the Hydrate-01 well, which was the largest 3D DAS-VSP ever conducted. Additionally, since the December 2018 completion of the STW, several borehole temperature surveys have been acquired with the DTS deployed in the Hydrate-01 well.
","conferenceTitle":"10th International Conference on Gas Hydrates (ICGH10)","conferenceDate":"June 21-26, 2020","conferenceLocation":"Singapore","language":"English","publisher":"National Energy Technology Laboratory","usgsCitation":"Collett, T.S., Zyrianova, M.V., Okinaka, N., Wakatsuki, M., Boswell, R., Marsteller, S., Minge, D., Crumley, S., Itter, D., and Hunter, R.D., 2020, Design and operations of the Hydrate 01 Stratigraphic test well, Alaska North Slope, 10th International Conference on Gas Hydrates (ICGH10), Singapore, June 21-26, 2020, 8 p.","productDescription":"8 p.","ipdsId":"IP-115172","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":378430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378429,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/node/10037"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.013671875,\n 67.03316279015063\n ],\n [\n -140.888671875,\n 67.03316279015063\n ],\n [\n -140.888671875,\n 72.04683989379397\n ],\n [\n -169.013671875,\n 72.04683989379397\n ],\n [\n -169.013671875,\n 67.03316279015063\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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Oil, Gas and Metals National Corporation","active":true,"usgs":false}],"preferred":false,"id":798835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wakatsuki, Motoi","contributorId":216075,"corporation":false,"usgs":false,"family":"Wakatsuki","given":"Motoi","email":"","affiliations":[{"id":39359,"text":"JOGMEC","active":true,"usgs":false}],"preferred":false,"id":798836,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boswell, Ray","contributorId":224746,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":28000,"text":"National Energy Technology Laboratory, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":798837,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marsteller, Scott","contributorId":216073,"corporation":false,"usgs":false,"family":"Marsteller","given":"Scott","email":"","affiliations":[{"id":34152,"text":"US Department of Energy","active":true,"usgs":false}],"preferred":false,"id":798838,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Minge, David","contributorId":240716,"corporation":false,"usgs":false,"family":"Minge","given":"David","email":"","affiliations":[],"preferred":false,"id":798839,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crumley, Stephen","contributorId":240080,"corporation":false,"usgs":false,"family":"Crumley","given":"Stephen","affiliations":[{"id":48087,"text":"BP Exploration Alaska, Inc.","active":true,"usgs":false}],"preferred":false,"id":798840,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Itter, David","contributorId":240081,"corporation":false,"usgs":false,"family":"Itter","given":"David","email":"","affiliations":[{"id":48087,"text":"BP Exploration Alaska, Inc.","active":true,"usgs":false}],"preferred":false,"id":798841,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hunter, Robert D. 0000-0002-6021-4479 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Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5042","displayTitle":"Procedure for Calculating Estimated Ultimate Recoveries of Wells in the Wolfcamp Shale of the Midland Basin, Permian Basin Province, Texas","title":"Procedure for calculating estimated ultimate recoveries of wells in the Wolfcamp shale of the Midland Basin, Permian Basin Province, Texas","docAbstract":"In 2016, the U.S. Geological Survey published an assessment of technically recoverable continuous oil and gas resources of the Wolfcamp shale in the Midland Basin, Permian Basin Province, Texas. Estimated ultimate recoveries (EURs) were calculated with production data from IHS MarkitTM using DeclinePlus software in the Harmony interface. These EURs were a major component of the quantitative resource assessment. For five of the six assessment units in the study, an industry operator in the Midland Basin provided information that was used to differentiate the Wolfcamp horizontal well landing zones. The IHS MarkitTM production database does not distinguish between the Wolfcamp A, B, C, and D well landing zones. These different units of the Wolfcamp have different production patterns that are important for calculation of EURs. The calculated mean EURs for each assessment unit ranged from 99,000 barrels of oil in the Wolfcamp C to 142,000 barrels of oil in the Wolfcamp A.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205042","usgsCitation":"Leathers-Miller, H.M., 2020, Procedure for calculating estimated ultimate recoveries of wells in the Wolfcamp shale of the Midland Basin, Permian Basin Province, Texas: U.S. Geological Survey Scientific Investigations Report 2020–5042, 5 p., https://doi.org/10.3133/sir20205042.","productDescription":"iii, 5 p.","onlineOnly":"Y","ipdsId":"IP-091005","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375829,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5042/coverthb.jpg"},{"id":375830,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5042/sir20205042.pdf","text":"Report","size":"1.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5042"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.974609375,\n 30.031055426540206\n ],\n [\n -98.1298828125,\n 30.031055426540206\n ],\n [\n -98.0859375,\n 33.61461929233378\n ],\n [\n -101.05224609374999,\n 33.63291573870479\n ],\n [\n -103.9306640625,\n 33.687781758439364\n ],\n [\n -103.974609375,\n 30.031055426540206\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
In recent decades, many bumble bee species have declined due to changes in habitat, climate, and pressures from pathogens, pesticides, and introduced species. The western bumble bee (Bombus occidentalis ), once common throughout western North America, is a species of concern and will be considered for listing by the U.S. Fish and Wildlife Service (USFWS) under the Endangered Species Act (ESA). We attempt to improve alignment of data collection and research with USFWS needs to consider redundancy, resiliency, and representation in the upcoming species status assessment. We reviewed existing data and literature on B. occidentalis , highlighting information gaps and priority topics for research. Priorities include increased knowledge of trends, basic information on several life‐history stages, and improved understanding of the relative and interacting effects of stressors on population trends, especially the effects of pathogens, pesticides, climate change, and habitat loss. An understanding of how and where geographic range extent has changed for the two subspecies of B. occidentalis is also needed. We outline data that could be easily collected in other research projects that would increase their utility for understanding range‐wide trends of bumble bees. We modeled the overall trend in occupancy from 1998 to 2018 of Bombus occidentalis within the continental United States using existing data. The probability of local occupancy declined by 93% over 21 yr from 0.81 (95% CRI = 0.43, 0.98) in 1998 to 0.06 (95% CRI = 0.02, 0.16) in 2018. The decline in occupancy varied spatially by landcover and other environmental factors. Detection rates vary in both space and time, but peak detection across the continental United States occurs in mid‐July. We found considerable spatial gaps in recent sampling, with limited sampling in many regions, including most of Alaska, northwestern Canada, and the southwestern United States. We therefore propose a sampling design to address these gaps to best inform the ESA species status assessment through improved assessment of how the spatial distribution of stressors influences occupancy changes. Finally, we request involvement via data sharing, participation in occupancy sampling with repeated visits to distributed survey sites, and complementary research to address priorities outlined in this paper.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3141","usgsCitation":"Graves, T., Janousek, W.M., Gaulke, S., Nicholas, A., Keinath, D., Bell, C.M., Cannings, S., Hatfield, R.G., Heron, J.M., Koch, J.B., Loffland, H.L., Richardson, L., Rohde, A., Rykken, J., Strange, J.P., Tronstead, L., and Sheffield, C., 2020, Western bumble bee: Declines in United States and range-wide information gaps: Ecosphere, v. 11, no. 6, e03141, 13 p., https://doi.org/10.1002/ecs2.3141.","productDescription":"e03141, 13 p.","ipdsId":"IP-113225","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":456241,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3141","text":"Publisher Index Page"},{"id":436910,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QY8ZA0","text":"USGS data release","linkHelpText":"Western bumble bee 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We also provide a case study on the federally-protected Desert Tortoise, a conservation-reliant species in the Desert Southwest US, to highlight efforts to mitigate the negative effects of renewable energy development. Our review concludes that successful mitigation is possible via use of spatial decision support tools, applying novel wildlife deterrence and detection systems developed for existing installed facilities, and incorporating impact studies that provide managers with conservation metrics for evaluating different future development land-use scenarios.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ab8846","usgsCitation":"Agha, M., Lovich, J.E., R., E.J., and Todd, B.D., 2020, Wind, sun, and wildlife: Do wind and solar energy development “short-circuit” conservation in the western United States?: Environmental Research Letters, v. 15, no. 7, 075004, 13 p., https://doi.org/10.1088/1748-9326/ab8846.","productDescription":"075004, 13 p.","ipdsId":"IP-110025","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":456243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab8846","text":"Publisher Index Page"},{"id":376129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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resource-management decisions — The role of economics at the U.S. Department of the Interior (DOI) — 2018 DOI Economics Training Workshop","docAbstract":"The second U.S. Department of the Interior (DOI) Economics Training Workshop (hereafter “Workshop”) was held during September 25–27, 2018, in Washington, D.C., to identify, highlight, and better understand needs and opportunities for economic analysis to support DOI’s mission. Building on the first workshop in 2017, the second Workshop, jointly convened by the DOI Office of Policy Analysis and the U.S. Geological Survey (USGS) Science and Decisions Center, provided an opportunity for DOI economists to share expertise and experiences and to build collaboration and communication channels across DOI. In addition, the second Workshop provided training sessions on a variety of relevant economic and modeling topics. More than 40 DOI economists gathered at the Workshop to share their work, discuss shared challenges, and identify approaches to advance the use and contribution of economics at the DOI.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201044","collaboration":"Prepared in cooperation with the U.S. Department of the Interior Office of Policy Analysis","usgsCitation":"Alhassan, M., Pindilli, E.J., Crowley, C.S.L., Shapiro, C.D., and Simon, B.M., 2020, Supporting natural resource-management decisions—The role of economics at the U.S. Department of the Interior (DOI)—2018 DOI Economics Training Workshop: U.S. Geological Survey Open-File Report 2020–1044, 26 p., https://doi.org/10.3133/ofr20201044.","productDescription":"iv, 26 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112653","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":375485,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181054","text":"Open-File Report 2018-1054","linkHelpText":"- Supporting natural resource management—The role of economics at the Department of the Interior—A workshop report"},{"id":375947,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1044/ofr20201044.pdf","text":"Report","size":"6.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":375483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1044/coverthb.jpg"}],"contact":"Director, Science and Decisions Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Bar-built coastal lagoons are dynamic ecosystems at the land-sea interface that are important habitats for a variety of species. This study examined the habitat ecology of two lagoon species, the endangered Tidewater Goby (Eucyclogobius newberryi) and the Prickly Sculpin (Cottus asper) by reconstructing individual life histories from patterns in the concentration of the element Sr (as ratioed to Ca; Sr:Ca) in otoliths. Specific objectives were to (1) elucidate any movements of individual fishes among three primary habitat components of typical bar-built lagoon systems: coastal ocean, brackish lagoon, and freshwater watershed streams, and (2) determine if either species exhibited a consistent life history as defined by a stereotypical otolith Sr:Ca chronology, which could be indicative of a consistent range of salinity or temperature occupied through ontogeny. Results suggested that Tidewater Goby was a lagoon resident and that Prickly Sculpin exhibited migrations between lagoon and watershed stream habitats. There was no strong evidence in either species of ocean occupancy or of a stereotypical Sr:Ca chronology, the latter suggesting the full range of available lagoon habitat in terms of salinity and temperature was likely utilized at all life stages. These findings add to the body of evidence that bar-built lagoons are not isolated habitats, and holistic management of these habitats with adjoining watershed and marine environments could increase habitat connectivity across the landscape, with potential benefits to fishes.
High-latitude fish typically exhibit a narrow thermal tolerance window, which may pose challenges when coping with temperatures that shift outside of a species’ range of tolerance. Due to its role in aerobic metabolism and energy balance, the mitochondrial genome is likely critical for the acclimation and adaptation to differing temperature regimes in marine ectotherms. As oceans continue to warm, there is growing need to understand the ability of organisms to respond to changing environmental conditions given evidence that some species, in particular cold-water species, may already be experiencing difficulties. To assess how Arctic gadids in Alaska have responded to differential thermal preferences in the past and how regions are interconnected, we sequenced complete mitochondrial genomes for four Arctic gadids to determine the distribution of mitochondrial diversity and population-level structure as well as to detect signatures of selection acting on the mitochondrial genome. We found little population-level structure within all four species with the clear exception of Gulf of Alaska saffron cod (Eleginus gracilis). Northern localities exhibited higher levels of genetic diversity and primarily northern lineages were observed within polar cod (Boreogadus saida) and saffron cod, likely reflecting asymmetrical dispersal and potentially admixture of distinct lineages via ocean currents. The main evolutionary force shaping the evolution of the mitogenome appears to be purifying selection, but we also identified potential positive selection of candidate amino acid replacements primarily in complex I (ND genes) in polar cod. The high levels of mitochondrial diversity observed in our study and large population size may provide this species with the ability to respond evolutionarily (i.e. long-term) to a changing environment.
A new map of global islands at a high spatial resolution (30 m) has been produced from a semi-automated interpretation of 2014 satellite imagery. The data are available in the public domain. The islands were classified by size into continental mainlands (5), big islands > 1 km2 (21,818), and small islands ≤ 1 km2 (318,868). The new high-resolution islands data are intended to support coastal ecosystem mapping efforts and assessments of threatened island biodiversity, among other applications. This chapter summarizes the global island mapping approach and results.
The U.S. Fish and Wildlife Service listed Anaxyrus canorus, the Yosemite toad, as federally threatened in 2014 based upon reported population declines and vulnerability to global-change factors. A. canorus lives only in California’s central Sierra Nevada at medium to sub-alpine elevations. Lands throughout its range are protected from development, but climate and other global-change factors potentially can limit populations. A. canorus reproduces in ultra-shallow wetlands that typically hydrate seasonally via melting of the winter snowpack. Lesser snowpacks in drier years can render wetland water volumes and hydroperiods insufficient to allow for successful breeding and reproduction. Additionally, breeding and embryogenesis occur very soon after wetlands thaw when overnight temperatures can be below freezing. Diseases, such as chytridiomycosis, which recently decimated regional populations of ranid species, also might cause declines of A. canorus populations. However, reported studies focused on whether climate interacts with any pathogens to affect fitness in A. canorus have been scarce. We investigated effects of these factors on A. canorus near Tioga Pass from 1996 to 2001. We found breeding subpopulations were distributed widely but inconsistently among potentially suitable wetlands and frequently consisted of small numbers of adults. We occasionally observed small but not alarming numbers of dead adults at breeding sites. In contrast, embryo mortality often was notably high, with the majority of embryos dead in some egg masses while mortality among coincidental Pseudacris regilla (Pacific treefrog) embryos in deeper water was lower. After sampling and experimentation, we concluded that freezing killed A. canorus embryos, especially near the tops of egg masses, which enabled Saprolegnia diclina (a water mold [Oomycota]) to infect and then spread through egg masses and kill more embryos, often in conjunction with predatory flatworms (Turbellaria spp.). We also concluded exposure to ultraviolet-B radiation did not play a role. Based upon our assessments of daily minimum temperatures recorded around snow-off during years before and after our field study, the freezing potential we observed at field sites during embryogenesis might have been commonplace beyond the years of our field study. However, interactions among snow quantity, the timing of snow-off, and coincidental air temperatures that determine such freezing potential make projections of future conditions highly uncertain, despite overall warming trends. Our results describe important effects from ongoing threats to the fitness and abundance of A. canorus via reduced reproduction success and demonstrate how climate conditions can exacerbate effects from pathogens to threaten the persistence of amphibian populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e01173","usgsCitation":"Sadinski, W., Gallant, A., and Cleaver, J.E., 2020, Climate’s cascading effects on disease, predation, and hatching success in Anaxyrus canorus, the threatened Yosemite toad: Global Ecology and Conservation, v. 23, e01173, 26 p., https://doi.org/10.1016/j.gecco.2020.e01173.","productDescription":"e01173, 26 p.","ipdsId":"IP-108337","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":456248,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e01173","text":"Publisher Index Page"},{"id":436912,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BVZDOP","text":"USGS data release","linkHelpText":"Yosemite Toad (Anaxyrus canorus) project datasets; climate, disease, predation, and hatching success"},{"id":377725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tioga Pass, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.388427734375,\n 37.82931081282506\n ],\n [\n -119.11651611328124,\n 37.82931081282506\n ],\n [\n -119.11651611328124,\n 38.05025395161289\n ],\n [\n -119.388427734375,\n 38.05025395161289\n ],\n [\n -119.388427734375,\n 37.82931081282506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sadinski, Walter 0000-0003-0839-8685 wsadinski@usgs.gov","orcid":"https://orcid.org/0000-0003-0839-8685","contributorId":203373,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walter","email":"wsadinski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Alisa L. 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":238922,"corporation":false,"usgs":false,"family":"Gallant","given":"Alisa L.","affiliations":[{"id":47820,"text":"Former USGS-EROS employee, retired","active":true,"usgs":false}],"preferred":false,"id":796893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleaver, James E.","contributorId":238923,"corporation":false,"usgs":false,"family":"Cleaver","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":47822,"text":"University of California, San Francisco","active":true,"usgs":false}],"preferred":false,"id":796894,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210995,"text":"70210995 - 2020 - Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: Case study from the South Rim of the Grand Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2020-08-05T13:35:17.005891","indexId":"70210995","displayToPublicDate":"2020-06-26T08:37:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: Case study from the South Rim of the Grand Canyon, Arizona, USA","docAbstract":"Springs and groundwater seeps along the South Rim of the Grand Canyon serve an important function for the region’s ecosystems, residents (both human and wild animal), and economy. However, these springs and seeps are potentially vulnerable to contamination, increased groundwater extraction, or reduced recharge due to climate change. Protection of South Rim groundwater resources requires improved understanding of the regional groundwater system. In this study, statistical methods are used to investigate δ2H and δ18O in precipitation, surface water, and groundwater. A mixing model for δ18O is developed using statistically distinct seasonal end-members represented by modeled winter (Nov-Apr.) precipitation and summer (May-Oct.) surface water run-off. The calculated fraction of winter recharge (Fwin) indicates that South Rim groundwater is primarily sourced from snow-melt and winter rains with an average Fwin of 0.97 ± 0.09. Groundwater sourced from the highest elevations of the study area are more depleted than the winter end-member suggesting values of Fwin are overestimated or a meaningful portion of recharge occurs at lower elevations. Lower elevation recharge from the Coconino Plateau is supported by consistent spatial trends in δ2H and δ18O with respect to longitude, Fwin values less than 0.9 for 9 of the 50 samples, and age tracer data indicating young groundwater discharging from springs which is distinct from old groundwater observed in the regional flow system. These results suggest a new conceptual model is needed to account for recharge sources from low elevation and summer precipitation. Results imply resource managers need to reconsider current land-use and water management practices on the South Rim to protect future water quantity and quality.","language":"English","publisher":"Springer","doi":"10.1007/s10040-020-02194-y","usgsCitation":"Solder, J.E., and Beisner, K.R., 2020, Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: Case study from the South Rim of the Grand Canyon, Arizona, USA: Hydrogeology Journal, v. 28, p. 1575-1591, https://doi.org/10.1007/s10040-020-02194-y.","productDescription":"17 p.","startPage":"1575","endPage":"1591","ipdsId":"IP-110272","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":456249,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-020-02194-y","text":"Publisher Index Page"},{"id":436913,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G7INFB","text":"USGS data release","linkHelpText":"Stable isotopic ratios of hydrogen and oxygen in groundwater and calculated fraction of recharge from winter precipitation, South Rim Grand Canyon, Arizona"},{"id":376253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"South Rim of the Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.4835205078125,\n 35.7019167328534\n ],\n [\n -111.65679931640625,\n 35.7019167328534\n ],\n [\n -111.65679931640625,\n 36.18000806322456\n ],\n [\n -112.4835205078125,\n 36.18000806322456\n ],\n [\n -112.4835205078125,\n 35.7019167328534\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2020-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Solder, John E. 0000-0002-0660-3326","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":201953,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210822,"text":"70210822 - 2020 - Migratory behavior and winter geography drive differential range shifts of eastern birds in response to recent climate change","interactions":[],"lastModifiedDate":"2020-06-29T12:45:16.577045","indexId":"70210822","displayToPublicDate":"2020-06-26T08:36:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Migratory behavior and winter geography drive differential range shifts of eastern birds in response to recent climate change","docAbstract":"Over the past half century, migratory birds in North America have shown divergent population trends relative to resident species, with the former declining rapidly and the latter increasing. The role that climate change has played in these observed trends is not well understood, despite significant warming over this period. We used 43 y of monitoring data to fit dynamic species distribution models and quantify the rate of latitudinal range shifts in 32 species of birds native to eastern North America. Since the early 1970s, species that remain in North America throughout the year, including both resident and migratory species, appear to have responded to climate change through both colonization of suitable area at the northern leading edge of their breeding distributions and adaption in place at the southern trailing edges. Neotropical migrants, in contrast, have shown the opposite pattern: contraction at their southern trailing edges and no measurable shifts in their northern leading edges. As a result, the latitudinal distributions of temperate-wintering species have increased while the latitudinal distributions of neotropical migrants have decreased. These results raise important questions about the mechanisms that determine range boundaries of neotropical migrants and suggest that these species may be particularly vulnerable to future climate change. Our results highlight the potential importance of climate change during the nonbreeding season in constraining the response of migratory species to temperature changes at both the trailing and leading edges of their breeding distributions. Future research on the interactions between breeding and nonbreeding climate change is urgently needed.","language":"English","publisher":"PNAS","doi":"10.1073/pnas.2000299117","usgsCitation":"Clark Rushing, Royle, A., Ziolkowski, D., and Pardieck, K.L., 2020, Migratory behavior and winter geography drive differential range shifts of eastern birds in response to recent climate change: Proceedings of the National Academy of Sciences of the United States of America, v. 117, no. 23, p. 12897-12903, https://doi.org/10.1073/pnas.2000299117.","productDescription":"7 p.","startPage":"12897","endPage":"12903","ipdsId":"IP-115090","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2000299117","text":"Publisher Index Page"},{"id":375949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Eastern North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.9609375,\n 58.44773280389084\n ],\n [\n -80.33203125,\n 41.77131167976407\n ],\n [\n -85.25390625,\n 30.14512718337613\n ],\n [\n -81.9140625,\n 24.367113562651262\n ],\n [\n -74.00390625,\n 38.95940879245423\n ],\n [\n -60.1171875,\n 45.583289756006316\n ],\n [\n -53.26171875,\n 47.39834920035926\n ],\n [\n -64.16015624999999,\n 59.977005492196\n ],\n [\n -69.9609375,\n 58.44773280389084\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"23","noUsgsAuthors":false,"publicationDate":"2020-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark Rushing","contributorId":225554,"corporation":false,"usgs":false,"family":"Clark Rushing","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":791593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziolkowski, David 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":195409,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210820,"text":"70210820 - 2020 - Changes to Monitoring Trends in Burn Severity Program’s production procedures and data products","interactions":[],"lastModifiedDate":"2024-04-23T16:46:28.247778","indexId":"70210820","displayToPublicDate":"2020-06-26T08:29:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Changes to Monitoring Trends in Burn Severity Program’s production procedures and data products","docAbstract":"The Monitoring Trends in Burn Severity (MTBS) program has been providing the fire science community with large fire perimeter and burn severity data for the past 14 years. As of October 2019, 22 969 fires have been mapped by the MTBS program and are available on the MTBS website (https://www.mtbs.gov). These data have been widely used by researchers to examine a variety of fire and climate science topics. However, MTBS has undergone significant changes to its fire mapping methodology, the remotely sensed imagery used to map fires, and the subsequent fire occurrence, burned boundary, and severity databases. To gather a better understanding of these changes and the potential impacts that they may have on the user community, we examined the changes to the MTBS burn mapping protocols and whether remapped burned area boundary and severity products differ significantly from the original MTBS products.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-020-00076-y","usgsCitation":"Picotte, J.J., Bhattarai, K.P., Howard, D., Lecker, J., Epting, J., Quayle, B., Benson, N., and Nelson, K., 2020, Changes to Monitoring Trends in Burn Severity Program’s production procedures and data products: Fire Ecology, v. 16, 16, 12 p., https://doi.org/10.1186/s42408-020-00076-y.","productDescription":"16, 12 p.","ipdsId":"IP-112537","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":456256,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-020-00076-y","text":"Publisher Index Page"},{"id":436914,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97UMU6K","text":"USGS data release","linkHelpText":"Burn Severity Portal, a clearing house of fire severity and extent information (ver. 8.0, August 2024)"},{"id":395379,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IED7RZ","text":"USGS data release","description":"USGS data release","linkHelpText":"Monitoring Trends in Burn Severity from 1984-2018"},{"id":375946,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2020-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Picotte, Joshua J. 0000-0002-4021-4623 jpicotte@usgs.gov","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":4626,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua","email":"jpicotte@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":791579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhattarai, Krishna P. kbhattarai@usgs.gov","contributorId":3487,"corporation":false,"usgs":true,"family":"Bhattarai","given":"Krishna","email":"kbhattarai@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":791622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel 0000-0002-7563-7538","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":56946,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":791581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lecker, Jennifer","contributorId":199101,"corporation":false,"usgs":false,"family":"Lecker","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":791582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Epting, Justin","contributorId":225552,"corporation":false,"usgs":false,"family":"Epting","given":"Justin","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":791583,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quayle, Brad","contributorId":146381,"corporation":false,"usgs":false,"family":"Quayle","given":"Brad","email":"","affiliations":[],"preferred":false,"id":791584,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benson, Nate","contributorId":225028,"corporation":false,"usgs":false,"family":"Benson","given":"Nate","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":791585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":791586,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}