{"pageNumber":"647","pageRowStart":"16150","pageSize":"25","recordCount":184629,"records":[{"id":70216195,"text":"70216195 - 2020 - Infectious hematopoietic necrosis virus specialization in a multihost salmonid system","interactions":[],"lastModifiedDate":"2020-11-10T13:15:05.55733","indexId":"70216195","displayToPublicDate":"2020-02-12T07:11:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Infectious hematopoietic necrosis virus specialization in a multihost salmonid system","docAbstract":"

Many pathogens interact and evolve in communities where more than one host species is present, yet our understanding of host–pathogen specialization is mostly informed by laboratory studies with single species. Managing diseases in the wild, however, requires understanding how host–pathogen specialization affects hosts in diverse communities. Juvenile salmonid mortality in hatcheries caused by infectious hematopoietic necrosis virus (IHNV) has important implications for salmonid conservation programs. Here, we evaluate evidence for IHNV specialization on three salmonid hosts and assess how this influences intra‐ and interspecific transmission in hatchery‐reared salmonids. We expect that while more generalist viral lineages should pose an equal risk of infection across host types, viral specialization will increase intraspecific transmission. We used Bayesian models and data from 24 hatcheries in the Columbia River Basin to reconstruct the exposure history of hatcheries with two IHNV lineages, MD and UC, allowing us to estimate the probability of juvenile infection with these lineages in three salmonid host types. Our results show that lineage MD is specialized on steelhead trout and perhaps rainbow trout (both Oncorhynchus mykiss), whereas lineage UC displayed a generalist phenotype across steelhead trout, rainbow trout, and Chinook salmon. Furthermore, our results suggest the presence of specialist–generalist trade‐offs because, while lineage UC had moderate probabilities of infection across host types, lineage MD had a small probability of infection in its nonadapted host type, Chinook salmon. Thus, in addition to quantifying probabilities of infection of socially and economically important salmonid hosts with different IHNV lineages, our results provide insights into the trade‐offs that viral lineages incur in multihost communities. Our results suggest that knowledge of the specialist/generalist strategies of circulating viral lineages could be useful in salmonid conservation programs to control disease.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.12931","usgsCitation":"Paez, D., LaDeau, S.L., Breyta, R., Kurath, G., Naish, K.A., and Ferguson, P., 2020, Infectious hematopoietic necrosis virus specialization in a multihost salmonid system: Evolutionary Applications, v. 13, no. 8, p. 1841-1853, https://doi.org/10.1111/eva.12931.","productDescription":"13 p.","startPage":"1841","endPage":"1853","ipdsId":"IP-112686","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":457749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12931","text":"Publisher Index Page"},{"id":380333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.1455078125,\n 44.94924926661153\n ],\n [\n -120.0146484375,\n 42.97250158602597\n ],\n [\n -117.79541015625001,\n 44.94924926661153\n ],\n [\n -117.20214843749999,\n 45.767522962149876\n ],\n [\n -117.79541015625001,\n 46.66451741754235\n ],\n [\n -119.7509765625,\n 48.29781249243716\n ],\n [\n -124.1455078125,\n 46.66451741754235\n ],\n [\n -124.1455078125,\n 44.94924926661153\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Paez, David","contributorId":244717,"corporation":false,"usgs":false,"family":"Paez","given":"David","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaDeau, Shannon L.","contributorId":172640,"corporation":false,"usgs":false,"family":"LaDeau","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":804445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":804446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":804447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naish, Kerry A. 0000-0002-3275-8778","orcid":"https://orcid.org/0000-0002-3275-8778","contributorId":201136,"corporation":false,"usgs":false,"family":"Naish","given":"Kerry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":804448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferguson, Paige","contributorId":201135,"corporation":false,"usgs":false,"family":"Ferguson","given":"Paige","affiliations":[],"preferred":false,"id":804449,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209138,"text":"70209138 - 2020 - Forest vegetation change and its impacts on soil water following 47 years of managed wildfire","interactions":[],"lastModifiedDate":"2020-11-30T17:06:34.756599","indexId":"70209138","displayToPublicDate":"2020-02-12T06:54:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Forest vegetation change and its impacts on soil water following 47 years of managed wildfire","docAbstract":"Managed wildfire is an increasingly relevant management option to restore variability in vegetation structure within fire-suppressed montane forests in western North America. Managed wildfire often reduces tree cover and density, potentially leading to increases in soil moisture availability, water storage in soils and groundwater, and streamflow. However, the potential hydrologic impacts of managed wildfire in montane watersheds remain uncertain and are likely context-dependent. Here we characterize the response of vegetation and soil moisture to 47 years (1971-2018) of managed wildfire in Sugarloaf Creek Basin (SCB) in Sequoia-Kings Canyon National Park in the Sierra Nevada, California, USA, using repeat plot-measurements, remote-sensing of vegetation, and a combination of continuous in-situ and episodic spatially-distributed soil moisture measurements. We find that, by comparison to a nearby watershed with higher vegetation productivity and greater fire frequency, the managed wildfire regime at SCB caused relatively little change in dominant vegetation over the 47 year period, and relatively little response of soil moisture. Fire occurrence was limited to drier mixed-conifer sites; fire-caused overstory tree mortality patches were generally < 10 ha, and fires had little effect on removing mid- and lower strata trees. Few dense meadow areas were created by fire, with most forest conversion leading to sparse meadow and shrub areas, which had similar soil moisture profiles to nearby mixed-conifer vegetation. Future fires in SCB could be managed to encourage greater tree mortality adjacent to wetlands to increase soil moisture, although the potential hydrologic benefits of the program in drier basins such as this one may be limited.  ","language":"English","publisher":"Springer","doi":"10.1007/s10021-020-00489-5","usgsCitation":"Stevens, J., Boisrame, G.F., Rakhmatulina, E., Thompson, S.E., Collins, B.M., and Stephens, S.L., 2020, Forest vegetation change and its impacts on soil water following 47 years of managed wildfire: Ecosystems, v. 23, p. 1547-1565, https://doi.org/10.1007/s10021-020-00489-5.","productDescription":"19 p.","startPage":"1547","endPage":"1565","ipdsId":"IP-112612","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437118,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92I6JZQ","text":"USGS data release","linkHelpText":"Forestry and soil moisture data from Sugarloaf Creek Basin, CA; 1970-2017"},{"id":373357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia-Kings Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.827880859375,\n 35.40248356426937\n ],\n [\n -117.61962890624999,\n 35.40248356426937\n ],\n [\n -117.61962890624999,\n 37.18657859524883\n ],\n [\n -119.827880859375,\n 37.18657859524883\n ],\n [\n -119.827880859375,\n 35.40248356426937\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":785080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boisrame, Gabrielle F. S.","contributorId":223456,"corporation":false,"usgs":false,"family":"Boisrame","given":"Gabrielle","email":"","middleInitial":"F. S.","affiliations":[],"preferred":false,"id":785085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rakhmatulina, Ekaterina","contributorId":223457,"corporation":false,"usgs":false,"family":"Rakhmatulina","given":"Ekaterina","email":"","affiliations":[],"preferred":false,"id":785086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Sally E.","contributorId":223458,"corporation":false,"usgs":false,"family":"Thompson","given":"Sally","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":785087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Brandon M.","contributorId":127850,"corporation":false,"usgs":false,"family":"Collins","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":7169,"text":"USDA Forest Service, UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":785088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephens, Scott L.","contributorId":46022,"corporation":false,"usgs":false,"family":"Stephens","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":785089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231217,"text":"70231217 - 2020 - Anthropogenic pollutants and biomarkers for the identification of 2011 Tohoku-oki tsunami deposits (Japan)","interactions":[],"lastModifiedDate":"2022-05-03T11:45:22.148529","indexId":"70231217","displayToPublicDate":"2020-02-12T06:42:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic pollutants and biomarkers for the identification of 2011 Tohoku-oki tsunami deposits (Japan)","docAbstract":"

Organic geochemistry is commonly used in environmental studies. In tsunami research, however, its applications are in their infancy and it is still rarely used. We present results for two types of organic geochemical markers, biomarkers and anthropogenic markers, present in deposits left by 2011 Tohoku-oki tsunami on the Sendai Plain, Japan. As the tsunami inundated the coastal lowland up to 4.85 km inland, sediments from various sources were eroded, transported and deposited. This led to the distribution of biomarkers from different sources across the Sendai Plain creating a unique geochemical signature in the tsunami deposits. The tsunami also caused destruction along the Sendai coastline, leading to the release of large quantities of environmental pollutants (e.g., fossil fuels, tarmac, pesticides, plastics, etc.) that were distributed across the inundated area. These anthropogenic markers, represented by three main compound groups (polycyclic aromatic hydrocarbons, pesticides, and halogenated compounds), were preserved in tsunami deposits (at least until 2013, prior to land clearing). Their concentrations differed significantly from the pre- and post-tsunami background contamination levels. Organic proxy concentrations can differ for sand and mud deposits due to various factors (e.g., preservation, dilution, microbial alteration). However, it can be concluded that anthropogenic markers and biomarkers have the potential to be a valuable proxy for future studies of recent tsunami deposits because of their high source specificity and relatively good preservation potential providing information about sediment sources and transport pathways (e.g., marine source, evidence of backwash).

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2020.106117","usgsCitation":"Bellanova, P., Frenken, M., Reicherter, K., Jaffe, B.E., Szczucinski, W., and Schwarzbauer, J., 2020, Anthropogenic pollutants and biomarkers for the identification of 2011 Tohoku-oki tsunami deposits (Japan): Marine Geology, v. 422, 106117, 15 p., https://doi.org/10.1016/j.margeo.2020.106117.","productDescription":"106117, 15 p.","ipdsId":"IP-110771","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":400021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Sendai","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 140.5810546875,\n 37.50972584293751\n ],\n [\n 141.591796875,\n 37.50972584293751\n ],\n [\n 141.591796875,\n 38.89103282648846\n ],\n [\n 140.5810546875,\n 38.89103282648846\n ],\n [\n 140.5810546875,\n 37.50972584293751\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"422","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bellanova, Piero","contributorId":213414,"corporation":false,"usgs":false,"family":"Bellanova","given":"Piero","email":"","affiliations":[{"id":38752,"text":"1 Institute for Geology and Geochemistry of Petroleum and Coal, RWTH Aachen University Lochnerstrasse 4-20, 52056, Aachen, Germany,","active":true,"usgs":false}],"preferred":false,"id":842056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frenken, Mike","contributorId":213430,"corporation":false,"usgs":false,"family":"Frenken","given":"Mike","email":"","affiliations":[],"preferred":false,"id":842057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reicherter, Klaus","contributorId":213418,"corporation":false,"usgs":false,"family":"Reicherter","given":"Klaus","email":"","affiliations":[{"id":38754,"text":"Lehr- und Forschungsgebiet Neotektonik und Georisiken, RWTH Aachen University Lochnerstrasse 4-20, 52056, Aachen, Germany","active":true,"usgs":false}],"preferred":false,"id":842058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szczucinski, Witold","contributorId":76572,"corporation":false,"usgs":false,"family":"Szczucinski","given":"Witold","email":"","affiliations":[],"preferred":false,"id":842060,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwarzbauer, Jan","contributorId":291328,"corporation":false,"usgs":false,"family":"Schwarzbauer","given":"Jan","affiliations":[{"id":62691,"text":"Aachen University","active":true,"usgs":false}],"preferred":false,"id":842061,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209163,"text":"70209163 - 2020 - A new technique to calculate earthquake stress transfer and to forecast aftershocks","interactions":[],"lastModifiedDate":"2020-04-06T23:25:35.321041","indexId":"70209163","displayToPublicDate":"2020-02-11T19:20:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A new technique to calculate earthquake stress transfer and to forecast aftershocks","docAbstract":"Coseismic stress changes have been the primary physical principle used to explain aftershocks and triggered earthquakes. However, this method does not adequately forecast earthquake rates and diverse rupture populations when subjected to formal testing. We show that earthquake forecasts can be impaired by assumptions made in physics-based models, such as the existence of hypothetical optimal faults, and regional scale invariability of the stress field. We compare calculations made under these assumptions along with different realizations of a new conceptual triggering model that features a complete assay of all possible ruptures. In this concept, there always exists a set of theoretical planes that has positive failure stress conditions under a combination of background and coseismic static stress change. In the Earth, all of these theoretical planes may not exist, and if they do, they may not be ready to fail. Thus the actual aftershock plane may not correspond to the plane with the maximum stress change value. This is consistent with observations that mainshocks commonly activate faults with exotic orientations and rakes. Our testing ground is the M=7.2, 2010 El Mayor-Cucapah earthquake sequence that activated multiple diverse fault populations across the USA-Mexico border in California and Baja California. We carry out a retrospective test involving 748 M≥3.0 triggered earthquakes that occurred during a 3-yr period after the mainshock. We find that a probabilistic expression of possible aftershock planes constrained by pre-mainshock rupture patterns is strongly favoured (89% of aftershocks consistent with static stress triggering) versus an optimal fault implementation (35% consistent). Results show that coseismic stress change magnitudes do not necessarily control earthquake triggering, instead we find that the summed background stress and coseismic stress change promotes diverse ruptures. Our model can thus explain earthquake triggering in regions where optimal plane mapping shows coseismic stress reduction.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190033","usgsCitation":"Segou, M., and Parsons, T.E., 2020, A new technique to calculate earthquake stress transfer and to forecast aftershocks: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 863-873, https://doi.org/10.1785/0120190033.","productDescription":"11 p.","startPage":"863","endPage":"873","ipdsId":"IP-089816","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":373397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Segou, Margarita","contributorId":199044,"corporation":false,"usgs":false,"family":"Segou","given":"Margarita","affiliations":[],"preferred":false,"id":785176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":785175,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211833,"text":"70211833 - 2020 - Semiautomated estimates of directivity and related source properties of small to moderate southern California earthquakes using second seismic moments","interactions":[],"lastModifiedDate":"2020-08-07T21:24:21.235588","indexId":"70211833","displayToPublicDate":"2020-02-11T16:20:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Semiautomated estimates of directivity and related source properties of small to moderate southern California earthquakes using second seismic moments","docAbstract":"

We develop a semiautomated method for estimating with second seismic moments the directivity, rupture area, duration, and centroid velocity of earthquakes. The method is applied to 41 southern California earthquakes with magnitude in the range 3.5–5.2 and provides stable results for 28 events. Apparent source time functions (ASTFs) of P and S phases are derived using deconvolution with three stacked empirical Green's functions (seGf). The use of seGf suppresses nongeneric source effects, improves the focal mechanism correspondence to the analyzed earthquakes, and typically allows inclusion of 5 to 15 more ASTFs compared with analysis using a single eGf. Most analyzed earthquakes in the Trifurcation area of the San Jacinto Fault have directivities toward the northwest, while events around Cajon Pass and San Gabriel Mountain tend to propagate toward the southeast. These results are generally consistent with predictions for dynamic rupture on bimaterial interfaces associated with the imaged velocity contrasts in the area. The second moment inversions also provide constraints on the upper and lower bounds of rupture areas in our data set. Stress drops and uncertainties are estimated for elliptical ruptures using the derived characteristic rupture length and width. The semiautomated second moment method with seGfs can be used for routine application to moderate earthquakes in locations with good station coverage.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018566","usgsCitation":"Meng, H., McGuire, J., and Ben-Zion, Y., 2020, Semiautomated estimates of directivity and related source properties of small to moderate southern California earthquakes using second seismic moments: Journal of Geophysical Research, v. 125, no. 4, e2019JB018566, 21 p., https://doi.org/10.1029/2019JB018566.","productDescription":"e2019JB018566, 21 p.","ipdsId":"IP-110976","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"links":[{"id":377209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.20214843749999,\n 32.519026027827515\n ],\n [\n -115.059814453125,\n 32.713355353177555\n ],\n [\n -115.169677734375,\n 35.34425514918409\n ],\n [\n -116.65283203124999,\n 35.96911507577482\n ],\n [\n -120.25634765624999,\n 34.77771580360469\n ],\n [\n -120.03662109374999,\n 34.31621838080741\n ],\n [\n -117.20214843749999,\n 32.519026027827515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Meng, Haoran","contributorId":237785,"corporation":false,"usgs":false,"family":"Meng","given":"Haoran","email":"","affiliations":[{"id":47614,"text":"University of Southern California; Florida State University","active":true,"usgs":false}],"preferred":false,"id":795292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":795293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ben-Zion, Yehuda","contributorId":195741,"corporation":false,"usgs":false,"family":"Ben-Zion","given":"Yehuda","email":"","affiliations":[{"id":16177,"text":"University of Southern California, Los Angeles, Ca.","active":true,"usgs":false}],"preferred":false,"id":795294,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228465,"text":"70228465 - 2020 - Paddlefish management and conservation: Opportunities and challenges at home and abroad","interactions":[],"lastModifiedDate":"2022-02-11T20:29:28.544107","indexId":"70228465","displayToPublicDate":"2020-02-11T14:26:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Paddlefish management and conservation: Opportunities and challenges at home and abroad","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10418","usgsCitation":"Jennings, C.A., 2020, Paddlefish management and conservation: Opportunities and challenges at home and abroad: Fisheries Magazine, v. 45, no. 6, p. 334-334, https://doi.org/10.1002/fsh.10418.","productDescription":"1 p.","startPage":"334","endPage":"334","ipdsId":"IP-116183","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834364,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227970,"text":"70227970 - 2020 - Ratcheting up rigor in wildlife management decision making","interactions":[],"lastModifiedDate":"2022-02-03T18:41:31.303257","indexId":"70227970","displayToPublicDate":"2020-02-11T12:34:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Ratcheting up rigor in wildlife management decision making","docAbstract":"The wildlife management institution has been transforming to ensure relevance and positive conservation outcomes into the future. Continuous improvement of decision making is one aspect of this transformation, but many obstacles hinder systematic approaches to decision making. One can point to examples of formal decision science applications by state and federal agencies in the United States, but generally decision making is not as methodical as the biological, ecological, or social sciences that inform wildlife policy and management decisions. We describe our observations — based on first-hand experiences — with decision making in wildlife management, present reasons why making decisions is difficult, identify challenges faced by wildlife managers at various levels of governance, and address measures wildlife managers can employ to overcome these challenges. We acknowledge that no panacea, simple recipe or one-size-fits-all prescription exists for wildlife management decision making. Nevertheless, we hope the combination of (a) describing how a systematic framework for decision making can benefit stakeholders, managers and conservation outcomes and (b) providing specific suggestions for such a framework will encourage agencies to continue taking steps to improve decision making processes.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1064","usgsCitation":"Fuller, A.K., Decker, D.J., Schiavone, M.V., and Forstchen, A., 2020, Ratcheting up rigor in wildlife management decision making: Wildlife Society Bulletin, v. 44, no. 1, p. 29-41, https://doi.org/10.1002/wsb.1064.","productDescription":"13 p.","startPage":"29","endPage":"41","ipdsId":"IP-096046","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":457756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1064","text":"Publisher Index Page"},{"id":395383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Daniel J.","contributorId":114044,"corporation":false,"usgs":true,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schiavone, Michael V.","contributorId":30064,"corporation":false,"usgs":false,"family":"Schiavone","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":833091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forstchen, Ann","contributorId":166904,"corporation":false,"usgs":false,"family":"Forstchen","given":"Ann","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":833092,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211360,"text":"70211360 - 2020 - Bridging the research-management gap: Landscape ecology in practice on public lands in the western United States","interactions":[],"lastModifiedDate":"2020-07-29T13:39:56.528748","indexId":"70211360","displayToPublicDate":"2020-02-11T12:09:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Bridging the research-management gap: Landscape ecology in practice on public lands in the western United States","docAbstract":"The field of landscape ecology has grown and matured in recent decades, but incorporating landscape science into land management decisions remains challenging. Many lands in the western United States are federally owned and managed for multiple uses, including recreation, conservation, and energy development. We argue for stronger integration of landscape science into the management of these public lands. We open by outlining the relevance of landscape science for public land planning, management, and environmental effects analysis, including pertinent laws and policies. We identify challenges to integrating landscape science into public land management, including the multijurisdictional nature and complicated spatial pattern of public lands, the capacity of agencies to identify and fill landscape science needs, and public perceptions about the meaning of landscape approaches to management. We provide several recent examples related to landscape monitoring, restoration, reclamation, and conservation in which landscape science products were developed specifically to support decision-making. We close by highlighting three actions - elevating the importance of science-management partnerships dedicated to coproducing actionable landscape science products, identifying where landscape science could foster efficiencies in the land-use planning process, and developing scenario-based landscape models for shrublands - that could improve landscape science support for public land planners and managers.","language":"English","publisher":"Springer","doi":"10.1007/s10980-020-00970-5","usgsCitation":"Carter, S.K., Pilliod, D.S., Haby, T.S., Prentice, K.L., Aldridge, C., Anderson, P.J., Bowen, Z.H., Bradford, J., Cushman, S.A., DeVivo, J.C., Duniway, M.C., Hathaway, R.S., Nelson, L., Schultz, C.A., Schuster, R., Trammell, E.J., and Weltzin, J., 2020, Bridging the research-management gap: Landscape ecology in practice on public lands in the western United States: Landscape Ecology, v. 35, p. 545-560, https://doi.org/10.1007/s10980-020-00970-5.","productDescription":"16 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The Sverdrup Basin Province, an area of 515,000 square kilometers on the northern margin of North America, extends 1,300 kilometers across the Canadian Arctic Islands from near the Mackenzie Delta to northern Ellesmere Island. It consists of an intracratonic late Paleozoic to early Cenozoic rift-sag basin and a Mesozoic rift shoulder that bounds it on the north.

Basin inception was Mississippian, manifested by deposition of nonmarine strata in rift basins, followed by Pennyslvanian marine transgression, which began with evaporites and progressed to Permian carbonate and clastic deposition at basin fringes and organic-rich marine strata in the basin center. Sediment transport was both northward from North America and southward from a now-subsided or rifted-away landmass to the north. Mesozoic strata indicate continued marine deposition, including both organic-rich, fine-grained rocks deposited during highstands and progradational deltaic sequences. A new episode of rifting began in Middle Jurassic time and culminated in the opening of the Canada Basin by Early Cretaceous seafloor spreading. The Sverdrup Rim formed as the rift shoulder between North America and the thinned, subsided crust to the north. Widespread Upper Cretaceous organic-rich shales were deposited during the major transgression induced by Canada Basin opening, followed by an influx of coarser east-derived detritus. In Paleogene time, incipient North Atlantic seafloor spreading caused deformation in northeasternmost North America, producing uplifts that shed detritus westward across the Sverdrup Basin. Tight folding and thrusting resulting from the Eurekan orogeny took place in the eastern part of the basin during the Eocene, with decreasing intensity of deformation westward. Since deformation ended in late Eocene time, little significant tectonism or deposition has taken place.

Two petroleum systems were defined in the Sverdrup Basin Province. Upper Paleozoic marine shale generated petroleum beginning in the Early Triassic, but this petroleum system was not quantitatively assessed because reservoir quality in adjacent strata is poor, the rocks are mostly overmature, and subsequent deformation likely affected trap integrity. The second petroleum system was sourced by Lower Triassic strata rich in oil-prone organic matter. Oil was generated during Paleogene burial synchronous with Eurekan deformation, and the oil migrated into Triassic and Jurassic deltaic, shallow marine and nonmarine strata. However, most of the oil may have escaped during deformation and subsequent uplift and erosion, which probably caused oil to be displaced from traps by gas expansion. The population of undiscovered accumulations was characterized as likely to include stratigraphically trapped and small, structurally trapped accumulations, with a median size of 80 million barrels of oil (MMBO); the number of undiscovered accumulations was estimated to be between 1 and 50, with the most likely number being 10. The resulting estimate of undiscovered, technically recoverable, conventional oil resources is 61 to 1,255 MMBO, with a mean of 427 MMBO. Undiscovered, technically recoverable, conventional gas resources are estimated at 4.95 trillion cubic feet (TCF), with slightly more than half of that in nonassociated gas accumulations.

A third petroleum system in the adjacent Amerasia Basin Province to the north was considered somewhat likely to contain accumulations on the Sverdrup Rim. Deeply buried Upper Jurassic, Upper Cretaceous, and Eocene organic-rich strata probably generated oil that may have migrated up the continental slope into Triassic to Paleogene sandstones on the Sverdrup Rim. Based on analogy with the Barrow Arch in Alaska, a median of 20 accumulations was estimated, with accumulation volumes as much as 2,500 MMBO and a median of 100 MMBO. The probability of at least one accumulation of the minimum size assessed (50 MMBO) was estimated at 0.22. The resulting estimate of undiscovered, technically recoverable, conventional oil resources is 0 to 2,679 MMBO, with a mean of 424 MMBO. Mean estimates for associated and nonassociated gas are 1.3 and 2.3 TCF, respectively.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824I","usgsCitation":"Tennyson, M.E., and Pitman, J.K., 2020, Geology and assessment of undiscovered oil and gas resources of the Sverdrup Basin Province, Arctic Canada, 2008, chap. I of Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 21 p., https://doi.org/10.3133/pp1824I.","productDescription":"Report: vi, 21 p.; 3 appendixes","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062463","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372144,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/i/pp1824i.pdf","text":"Report"},{"id":372233,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/i/coverthb.jpg"},{"id":372236,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/i/pp1824i_appendix3.xls","text":"Appendix 3","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Assessment input data for the Banks Island-Sverdrup Rim Assessment Unit."},{"id":372235,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/i/pp1824i_appendix2.xls","text":"Appendix 2","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Assessment input data for the Sverdrup Mesozoic Assessment Unit."},{"id":372234,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/i/pp1824i_appendix1.xls","text":"Appendix 1","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Assessment input data for the Sverdrup Upper Paleozoic Assessment Unit."}],"country":"Canada, United States","otherGeospatial":"Sverdrup Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.98242187499999,\n 74.09197431391087\n ],\n [\n -111.796875,\n 75.84516854027044\n ],\n [\n -95.625,\n 74.59010800882325\n ],\n [\n -82.265625,\n 77.54209596075547\n ],\n [\n -74.53125,\n 82.1183836069127\n ],\n [\n -91.7578125,\n 81.30832090051811\n ],\n [\n -82.265625,\n 83.1110709962606\n ],\n [\n -101.25,\n 81.4139332828511\n ],\n [\n -121.28906250000001,\n 77.31251993823143\n ],\n [\n -148.359375,\n 70.1403642720717\n ],\n [\n -144.4921875,\n 69.77895177646761\n ],\n [\n -130.4296875,\n 71.18775391813158\n ],\n [\n -116.98242187499999,\n 74.09197431391087\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
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Menlo Park, CA 94025-3591
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","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-02-11","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":782054,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782055,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":208414,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781772,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208488,"text":"70208488 - 2020 - Short-term forecasts of insect phenology inform pest management","interactions":[],"lastModifiedDate":"2020-04-06T21:56:36.941662","indexId":"70208488","displayToPublicDate":"2020-02-11T09:26:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":798,"text":"Annals of the Entomological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Short-term forecasts of insect phenology inform pest management","docAbstract":"

Insect pests cost billions of dollars per year globally, negatively impacting food crops and infrastructure, and contributing to the spread of disease. Timely information regarding developmental stages of pests can facilitate early detection and control, increasing efficiency and effectiveness. In 2018, the U.S. National Phenology Network (USA-NPN) released a suite of ‘Pheno Forecast’ map products relevant to science and management. The Pheno Forecasts include real-time maps and short-term forecasts of insect pest activity at management-relevant spatial and temporal resolutions and are based on accumulated temperature thresholds associated with critical life-cycle stages of economically important pests. Pheno Forecasts indicate, for a specified day, the status of the insect’s target life-cycle stage in real time across the contiguous United States. The maps are available for 12 pest species including the invasive emerald ash borer (Agrilus planipennis Fairmaire [Coleoptera: Buprestidae]), hemlock woolly adelgid (Adelges tsugae Annand), and gypsy moth (Lymantria dispar Linnaeus [Lepidoptera: Erebidae]). Preliminary validation based on in-situ observations for hemlock woolly adelgid egg and nymph stages in 2018 indicated the maps to be ≥93% accurate depending on phenophase. Since their release in early 2018, these maps have been adopted by tree care specialists and foresters across the United States. Using a consultative mode of engagement, USA-NPN staff have continuously sought input and critique of the maps and delivery from end users. Based on feedback received, maps have been expanded and modified to include additional species, improved descriptions of the phenophase event of interest, and e-mail-based notifications to support management decisions.

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 The US Fish and Wildlife Service has initiated a re-envisioned approach for providing decision makers with the best available science and synthesis of that information, called the Species Status Assessment (SSA), for endangered species decision making. The SSA report is a descriptive document that provides decision makers with an assessment of a species’ current status and predicted future status. These analyses support all manner of decisions under the US Endangered Species Act, such as listing, reclassification, recovery planning, etc. Novel scientific analysis and predictive modeling in SSAs could be an important part of rooting species conservation decisions in current data and cutting edge analytical and modeling techniques. Here we describe a novel analysis of available data to assess current condition of eastern black rail across its range in a dynamic occupancy analysis. We used the results of the analysis to develop a site occupancy projection model where the model parameters (initial occupancy, site persistence, colonization) were linked to environmental covariates, such as land management and land cover change (sea-level rise, development, etc.). We used the projection model to predict future conditions under multiple sea-level rise and habitat management scenarios. Occupancy probability and site colonization were low in all analysis units and site persistence was also low, suggesting low resiliency and redundancy currently. Extinction probability was high for all analysis units in all simulated scenarios except one with significant effort to preserve existing habitat, suggesting low future resiliency and redundancy. With results of these data analyses and predictive modeling, the US Fish and Wildlife Service concluded that protections of the Endangered Species Act were warranted for this subspecies.

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TW exposures and potential human-health concerns of 540 organics and 35 inorganics were assessed in 45 Chicago area United States (US) homes in 2017. No US Environmental Protection Agency (EPA) enforceable Maximum Contaminant Level(s) (MCL) were exceeded in any residential or water treatment plant (WTP) pre-distribution TW sample. Ninety percent (90%) of organic analytes were not detected in treated TW, emphasizing the high quality of the Lake Michigan drinking-water source and the efficacy of the drinking-water treatment and monitoring. Sixteen (16) organics were detected in >25% of TW samples, with about 50 detected at least once. Low-level TW exposures to unregulated disinfection byproducts (DBP) of emerging concern, per/polyfluoroalkyl substances (PFAS), and three pesticides were ubiquitous. Common exceedances of non-enforceable EPA MCL Goal(s) (MCLG) of zero for arsenic [As], lead [Pb], uranium [U]), bromodichloromethane, and tribromomethane suggest potential human health concerns and emphasize the continuing need for improved understanding of cumulative effects of low-concentration mixtures on vulnerable sub-populations. Because DBP dominated TW organics, residential TW concentrations are potentially predictable with expanded pre-distribution DBP monitoring. However, several TW chemicals, notably Pb and several infrequently detected organic compounds, were not readily explained by pre distribution samples, illustrating the need for continued broad inorganic/organic TW characterization to support consumer assessment of acceptable risk and point-of-use treatment options.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137236","usgsCitation":"Bradley, P., Argos, M., Kolpin, D., Meppelink, S., Romanok, K., Smalling, K., Focazio, M.J., Allen, J.M., Dietze, J., Devito, M.J., Donovan, A., Evans, N., Givens, C.E., Gray, J., Higgins, C.P., Hladik, M.L., Iwanowicz, L., Journey, C., Lane, R.F., Laughrey, Z.R., Loftin, K., McCleskey, R.B., McDonough, C.A., Medlock Kakaley, E.K., Meyer, M.T., Holthouse-Putz, A., Richardson, S.D., Stark, A., Weis, C.P., Wilson, V.S., and Zehraoui, A., 2020, Mixed organic and inorganic tapwater exposures and potential effects in greater Chicago area, USA: Science of the Total Environment, v. 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Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":782266,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"McDonough, Carrie A. 0000-0001-5152-8495","orcid":"https://orcid.org/0000-0001-5152-8495","contributorId":205664,"corporation":false,"usgs":false,"family":"McDonough","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":782267,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Medlock Kakaley, Elizabeth K","contributorId":220449,"corporation":false,"usgs":false,"family":"Medlock Kakaley","given":"Elizabeth","email":"","middleInitial":"K","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":782268,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":782269,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Holthouse-Putz, Andrea","contributorId":222472,"corporation":false,"usgs":false,"family":"Holthouse-Putz","given":"Andrea","email":"","affiliations":[{"id":40543,"text":"City of Chicago, Department of Water Management","active":true,"usgs":false}],"preferred":false,"id":782237,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Richardson, Susan D 0000-0001-6207-4513","orcid":"https://orcid.org/0000-0001-6207-4513","contributorId":222473,"corporation":false,"usgs":false,"family":"Richardson","given":"Susan","email":"","middleInitial":"D","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":782238,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stark, Alan","contributorId":210215,"corporation":false,"usgs":false,"family":"Stark","given":"Alan","email":"","affiliations":[],"preferred":false,"id":782239,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Weis, Christopher P. 0000-0002-7678-1080","orcid":"https://orcid.org/0000-0002-7678-1080","contributorId":205667,"corporation":false,"usgs":false,"family":"Weis","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":37136,"text":"NIH/NIEHS","active":true,"usgs":false}],"preferred":false,"id":782240,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wilson, Vickie S. 0000-0003-1661-8481","orcid":"https://orcid.org/0000-0003-1661-8481","contributorId":184092,"corporation":false,"usgs":false,"family":"Wilson","given":"Vickie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":782241,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Zehraoui, Abderrahman","contributorId":210218,"corporation":false,"usgs":false,"family":"Zehraoui","given":"Abderrahman","email":"","affiliations":[],"preferred":false,"id":782242,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}} ,{"id":70208313,"text":"pp1824H - 2020 - Geology and assessment of undiscovered oil and gas resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008","interactions":[{"subject":{"id":70208313,"text":"pp1824H - 2020 - Geology and assessment of undiscovered oil and gas resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008","indexId":"pp1824H","publicationYear":"2020","noYear":false,"chapter":"H","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:18:50.316641","indexId":"pp1824H","displayToPublicDate":"2020-02-11T07:45:40","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"H","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008","docAbstract":"

In 2008, the U.S. Geological Survey assessed the potential for undiscovered oil and gas resources of the Franklinian Shelf Province of northern Canada and Greenland as part of the U.S. Geological Survey Circum-Arctic Resource Appraisal Program. The Franklinian Shelf Province lies along the northernmost edge of the North American craton in Greenland and Canada. It encompasses a Cambrian through Middle Devonian passive margin sequence deposited on the margin of an ocean formed by rifting and seafloor spreading that began in latest Precambrian time and continued into Ordovician time. In the Canadian part of the province, the passive margin sequence is overlain by a thick succession of Devonian clastic strata shed from uplifts produced by the Caledonian collision between Laurentia and Baltica that closed Iapetus Ocean. The late Silurian to Early Devonian Boothia-Cornwallis uplifts within the region, apparently a distal effect of earlier phases of the Caledonian collision, were local sources of clastic wedges within the predominantly carbonate shelf sequence. Much of the northern part of the province was subjected to folding and thrusting during Late Devonian to earliest Carboniferous Ellesmerian deformation, followed by a prolonged period of erosion. The eastern part of the province again experienced transpressive and compressive deformation as Greenland converged with North America during the early Tertiary Eurekan orogeny.

Potential source rocks include Ordovician to Lower Devonian shales that contain abundant oil-prone organic matter, deposited on the outer continental shelf and slope. The most likely source rocks are Silurian strata, deposited as the continental shelf was drowned by a marine transgression caused by regional subsidence most likely associated with thrust loading. Potential source rocks in Greenland also may include organic-rich Cambrian shales deposited on the continental shelf. Rapid burial by thick Caledonian-derived strata in Late Devonian time abruptly matured the source rocks and generated oil; continued rapid burial may have cracked much of the accumulated oil to gas. In North Greenland, oil generation may have resulted from burial by now-eroded Devonian strata or from burial by Ellesmerian thrust sheets. Widespread bitumen in outcrops and in exploration wells appears to confirm that oil was indeed generated.

Potential reservoirs include Cambrian nearshore clastic strata, Cambrian to Silurian carbonate bank strata, and Silurian to Middle Devonian reef buildups on the drowned shelf. Because Ellesmerian deformation postdated migration, only stratigraphic traps are likely, except in the area of the Boothia-Cornwallis uplift, a north-trending, structurally elevated zone, where structural traps formed by late Silurian to Early Devonian deformation are possible. It is unlikely that any large accumulations survived subsequent deformation or uplift and erosion.

Three assessment units were defined: the Western Franklinian Shelf, the Boothia-Cornwallis Uplift, and the Eastern Franklinian Shelf Assessment Units. These assessment units were not quantitatively assessed, mostly because of the high risk to timing and preservation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824H","usgsCitation":"Tennyson, M.E., and Pitman, J.K., 2020, Geology and assessment of undiscovered oil and gas resources of the Franklinian Shelf Province, Arctic Canada and North Greenland, 2008, chap. H of Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 19 p., https://doi.org/10.3133/pp1824H.","productDescription":"Report: vi, 19 p.; 3 appendixes","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062464","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372224,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/h/pp1824h_appendix3.xls","text":"Appendix","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Assessment input data for the Eastern Franklinian Shelf Assessment Unit."},{"id":372223,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/h/pp1824h_appendix2.xls","text":"Appendix 2","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Assessment input data for the Boothia-Cornwallis Uplift Assessment Unit."},{"id":372222,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/h/pp1824h_appendix1.xls","text":"Appendix 1","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Assessment input data for the Western Franklinian Shelf Assessment Unit."},{"id":372221,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/h/pp1824h.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":372145,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/h/coverthb.jpg"}],"country":"Canada, Greenland","otherGeospatial":"Franklinian Shelf Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -26.54296875,\n 82.2379940231732\n ],\n [\n -22.32421875,\n 83.42021497175465\n ],\n [\n -34.98046875,\n 83.92369331796976\n ],\n [\n -80.15625,\n 83.31873282163234\n ],\n [\n -127.96875,\n 75.80211845876491\n ],\n [\n -139.21874999999997,\n 68.72044056989829\n ],\n [\n -132.890625,\n 62.75472592723178\n ],\n [\n -89.47265625,\n 63.39152174400882\n ],\n [\n -69.08203125,\n 71.41317683396566\n ],\n [\n -26.54296875,\n 82.2379940231732\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
FAX 650-329-4936

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-02-11","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782038,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782039,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":208414,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":781774,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216986,"text":"70216986 - 2020 - Basin amplification effects in the Puget Lowland, Washington from strong motion recordings and 3D simulations","interactions":[],"lastModifiedDate":"2020-12-22T13:30:24.816134","indexId":"70216986","displayToPublicDate":"2020-02-11T07:26:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Basin amplification effects in the Puget Lowland, Washington from strong motion recordings and 3D simulations","docAbstract":"

Sedimentary basins in the Puget Sound region, Washington State, increase ground‐motion intensity and duration of shaking during local earthquakes. We analyze Pacific Northwest Seismic Network and U.S. Geological Survey strong‐motion recordings of five local earthquakes (M 3.9–6.8), including the 2001 Nisqually earthquake, to characterize sedimentary basin effects within the Seattle and Tacoma basins. We observe basin‐edge generated surface waves at sites within the Seattle basin for most ray paths that cross the Seattle fault zone. We also note previously undocumented basin‐edge surface waves in the Tacoma basin during one of the local earthquakes. To place quantitative constraints on basin amplification, we determine amplification factors by computing the spectral ratios of inside‐basin sites to outside‐basin sites at 1, 2, 3, and 5 s periods. Ground shaking is amplified in the Seattle basin for all the earthquakes analyzed and for a subset of events in the Tacoma basin. We find that the largest amplification factors in the Seattle basin are produced by a shallow earthquake located to the southwest of the basin. Our observation suggests that future shallow crustal and megathrust earthquakes rupturing west of the Puget Lowland will produce greater amplification within the Seattle basin than has been seen for intraslab events. We also perform ground‐motion simulations using a finite‐difference method to validate a 3D Cascadia velocity model (CVM) by comparing properties of observed and synthetic waveforms up to a frequency of 1 Hz. Basin‐edge effects are well reproduced in the Seattle basin, but are less well resolved in the Tacoma basin. Continued study of basin effects in the Tacoma basin would improve the CVM.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190211","usgsCitation":"Thompson, M., Wirth, E.A., Frankel, A.D., Hartog, J.R., and Vidale, J.E., 2020, Basin amplification effects in the Puget Lowland, Washington from strong motion recordings and 3D simulations: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 534-555, https://doi.org/10.1785/0120190211.","productDescription":"22 p.","startPage":"534","endPage":"555","ipdsId":"IP-109889","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":381568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Lowland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.67309570312499,\n 46.717268685073954\n ],\n [\n -121.343994140625,\n 46.717268685073954\n ],\n [\n -121.343994140625,\n 48.741700879765396\n ],\n [\n -123.67309570312499,\n 48.741700879765396\n ],\n [\n -123.67309570312499,\n 46.717268685073954\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Mika","contributorId":245851,"corporation":false,"usgs":false,"family":"Thompson","given":"Mika","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":807175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":807176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":807177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartog, J. Renate","contributorId":171724,"corporation":false,"usgs":false,"family":"Hartog","given":"J.","email":"","middleInitial":"Renate","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":807178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vidale, John E.","contributorId":197866,"corporation":false,"usgs":false,"family":"Vidale","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":807179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217674,"text":"70217674 - 2020 - Integrating broad‐scale data to assess demographic and climatic contributions to population change in a declining songbird","interactions":[],"lastModifiedDate":"2021-01-28T13:12:56.482372","indexId":"70217674","displayToPublicDate":"2020-02-11T07:07:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating broad‐scale data to assess demographic and climatic contributions to population change in a declining songbird","docAbstract":"

Climate variation and trends affect species distribution and abundance across large spatial extents. However, most studies that predict species response to climate are implemented at small spatial scales or are based on occurrence‐environment relationships that lack mechanistic detail. Here, we develop an integrated population model (IPM) for multi‐site count and capture‐recapture data for a declining migratory songbird, Wilson's warbler (Cardellina pusilla), in three genetically distinct breeding populations in western North America. We include climate covariates of vital rates, including spring temperatures on the breeding grounds, drought on the wintering range in northwest Mexico, and wind conditions during spring migration. Spring temperatures were positively related to productivity in Sierra Nevada and Pacific Northwest genetic groups, and annual changes in productivity were important predictors of changes in growth rate in these populations. Drought condition on the wintering grounds was a strong predictor of adult survival for coastal California and Sierra Nevada populations; however, adult survival played a relatively minor role in explaining annual variation in population change. A latent parameter representing a mixture of first‐year survival and immigration was the largest contributor to variation in population change; however, this parameter was estimated imprecisely, and its importance likely reflects, in part, differences in spatio‐temporal distribution of samples between count and capture‐recapture data sets. Our modeling approach represents a novel and flexible framework for linking broad‐scale multi‐site monitoring data sets. Our results highlight both the potential of the approach for extension to additional species and systems, as well as needs for additional data and/or model development.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5975","usgsCitation":"Saracco, J., and Rubenstein, M.A., 2020, Integrating broad‐scale data to assess demographic and climatic contributions to population change in a declining songbird: Ecology and Evolution, v. 10, no. 4, p. 1804-1816, https://doi.org/10.1002/ece3.5975.","productDescription":"13 p.","startPage":"1804","endPage":"1816","ipdsId":"IP-111309","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":457766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5975","text":"Publisher Index Page"},{"id":382748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.2763671875,\n 52.61639023304539\n ],\n [\n -128.49609375,\n 52.45600939264076\n ],\n [\n -129.5947265625,\n 50.764259357116465\n ],\n [\n -127.83691406249999,\n 49.55372551347579\n ],\n [\n -125.771484375,\n 47.60616304386874\n ],\n [\n -125.5078125,\n 44.68427737181225\n ],\n [\n -126.826171875,\n 40.3130432088809\n ],\n [\n -122.82714843749999,\n 35.67514743608467\n ],\n [\n -118.91601562499999,\n 29.34387539941801\n ],\n [\n -112.8955078125,\n 23.60426184707018\n ],\n [\n -108.984375,\n 21.983801417384697\n ],\n [\n -105.29296874999999,\n 23.079731762449878\n ],\n [\n -107.3583984375,\n 24.84656534821976\n ],\n [\n -110.56640625,\n 31.052933985705163\n ],\n [\n -114.60937499999999,\n 35.24561909420681\n ],\n [\n -120.05859375,\n 38.89103282648846\n ],\n [\n -120.36621093749999,\n 43.644025847699496\n ],\n [\n -120.10253906249999,\n 50.064191736659104\n ],\n [\n -122.431640625,\n 52.07950600379697\n ],\n [\n -128.2763671875,\n 52.61639023304539\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Saracco, Jim 0000-0001-5084-1834","orcid":"https://orcid.org/0000-0001-5084-1834","contributorId":248480,"corporation":false,"usgs":false,"family":"Saracco","given":"Jim","email":"","affiliations":[{"id":34260,"text":"Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":809231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":809232,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228771,"text":"70228771 - 2020 - Identification of factors affecting predation risk for juvenile turtles using 3D printed models","interactions":[],"lastModifiedDate":"2022-02-18T13:08:17.024241","indexId":"70228771","displayToPublicDate":"2020-02-11T07:01:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Identification of factors affecting predation risk for juvenile turtles using 3D printed models","docAbstract":"
Although it is widely accepted that juvenile turtles experience high levels of predation, such events are rarely observed, providing limited evidence regarding predator identities and how juvenile habitat selection and availability of sensory cues to predators affects predation risk. We placed three-dimensional printed models resembling juvenile box turtles (Terrapene carolina) across habitats commonly utilized by the species at three sites within their geographical range and monitored models with motion-triggered cameras. To explore how the presence or absence of visual and olfactory cues affected predator interactions with models, we employed a factorial design where models were either exposed or concealed and either did or did not have juvenile box turtle scent applied on them. Predators interacted with 18% of models during field trials. Nearly all interactions were by mesopredators (57%) and rodents (37%). Mesopredators were more likely to attack models than rodents; most (76%) attacks occurred by raccoons (Procyon lotor). Interactions by mesopredators were more likely to occur in wetlands than edges, and greater in edges than grasslands. Mesopredators were less likely to interact with models as surrounding vegetation height increased. Rodents were more likely to interact with models that were closer to woody structure and interacted with exposed models more than concealed ones, but model exposure had no effect on interactions by mesopredators. Scent treatment appeared to have no influence on interactions by either predator group. Our results suggest raccoons can pose high predation risk for juvenile turtles (although rodents could also be important predators) and habitat features at multiple spatial scales affect predator-specific predation risk. Factors affecting predation risk for juveniles are important to consider in management actions such as habitat alteration, translocation, or predator control. 
","language":"English","publisher":"MDPI","doi":"10.3390/ani10020275","usgsCitation":"Tetzlaff, S., Estrada, A., DeGregorio, B.A., and Sperry, J.H., 2020, Identification of factors affecting predation risk for juvenile turtles using 3D printed models: Animals, v. 10, no. 2, 275, 16 p., https://doi.org/10.3390/ani10020275.","productDescription":"275, 16 p.","ipdsId":"IP-114047","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457770,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani10020275","text":"Publisher Index Page"},{"id":396162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Michigan","otherGeospatial":"Fort Custer Training Center, Nettie Hart Memorial Woods, Vermilion River Observatory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.43792724609375,\n 42.261049162113856\n ],\n [\n -85.2490997314453,\n 42.261049162113856\n ],\n [\n -85.2490997314453,\n 42.384922757848045\n ],\n [\n -85.43792724609375,\n 42.384922757848045\n ],\n [\n -85.43792724609375,\n 42.261049162113856\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.58506774902344,\n 39.985538414809746\n ],\n [\n -87.52944946289062,\n 39.985538414809746\n ],\n [\n -87.52944946289062,\n 40.047591462658794\n ],\n [\n -87.58506774902344,\n 40.047591462658794\n ],\n [\n -87.58506774902344,\n 39.985538414809746\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.077392578125,\n 39.9897471840457\n ],\n [\n -87.77801513671875,\n 39.9897471840457\n ],\n [\n -87.77801513671875,\n 40.19356109815612\n ],\n [\n -88.077392578125,\n 40.19356109815612\n ],\n [\n -88.077392578125,\n 39.9897471840457\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Tetzlaff, S.J.","contributorId":243211,"corporation":false,"usgs":false,"family":"Tetzlaff","given":"S.J.","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":835379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Estrada, A.","contributorId":279698,"corporation":false,"usgs":false,"family":"Estrada","given":"A.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":835380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sperry, J. H.","contributorId":279699,"corporation":false,"usgs":false,"family":"Sperry","given":"J.","email":"","middleInitial":"H.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":835382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219032,"text":"70219032 - 2020 - Oil-source rock correlation studies in the unconventional Upper Cretaceous Tuscaloosa marine shale (TMS) petroleum system, Mississippi and Louisiana, USA","interactions":[],"lastModifiedDate":"2021-03-22T12:07:49.855628","indexId":"70219032","displayToPublicDate":"2020-02-11T06:55:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2419,"text":"Journal of Petroleum Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Oil-source rock correlation studies in the unconventional Upper Cretaceous Tuscaloosa marine shale (TMS) petroleum system, Mississippi and Louisiana, USA","docAbstract":"

The U.S. Geological Survey assessed undiscovered unconventional hydrocarbon resources reservoired in the Upper Cretaceous Tuscaloosa marine shale (TMS) of southern Mississippi and adjacent Louisiana in 2018. As part of the assessment, oil-source rock correlations were examined in the TMS play area where operators produce light (38–45° API), sweet oil from horizontal, hydraulically-fractured wells in an overpressured ‘high-resistivity’ (>5 Ω-m) zone at the base of the TMS. Geochemical data from 39 oil samples and 17 source rock solvent extracts collected from the TMS play area indicate close correspondence for Tuscaloosa Group oils [from lower Tuscaloosa, middle Tuscaloosa (the TMS) and upper Tuscaloosa reservoirs] in thermal maturity (computed from MPI), SARA proportions, n-alkane distributions, isoprenoid and DBT/P ratios, monoaromatic steroids, and δ13C isotopic compositions (from whole oils, saturate and aromatic fractions). Other parameters (normal steranes, extended homohopanes, C31R/C30 hopane, norhopane/hopane and tricyclic terpane ratios, gammacerane/hopane) show most oil samples have similar values, suggesting all Tuscaloosa Group oils are from a common mixed marine-terrigenous source rock. Tighter distributions for triaromatic steroid (TAS) and δ13C isotopic composition for conventional oils in lower and upper Tuscaloosa reservoirs may indicate charge occurred in a single or shorter pulse relative to TMS oils which show broader TAS and δ13C properties, possibly from their generation over an extended period of burial maturation. Dissimilarity in geochemical properties between lower Tuscaloosa source rock solvent extracts and Tuscaloosa Group oils indicates lower Tuscaloosa source rocks did not contribute significantly to conventional and unconventional Tuscaloosa Group hydrocarbon accumulations. Whereas, TMS solvent extracts are similar to Tuscaloosa Group oils, suggesting an oil-source rock correlation. Excluding the possibility for long-distance lateral migration from a similar source downdip (which is unnecessary given thermal maturity considerations), the observations indicate 1. the TMS is a self-sourced reservoir, 2. the TMS is the source of oils accumulated in nearby conventional Tuscaloosa Group reservoirs, and 3. thin organic-rich shales in the lower Tuscaloosa did not contribute substantially to any oil accumulations in the Tuscaloosa Group.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.petrol.2020.107015","usgsCitation":"Hackley, P.C., Dennen, K.O., Garza, D., Lohr, C., Valentine, B., Hatcherian, J.J., Enomoto, C., and Dulong, F.T., 2020, Oil-source rock correlation studies in the unconventional Upper Cretaceous Tuscaloosa marine shale (TMS) petroleum system, Mississippi and Louisiana, USA: Journal of Petroleum Science and Engineering, v. 190, 107015, 16 p., https://doi.org/10.1016/j.petrol.2020.107015.","productDescription":"107015, 16 p.","ipdsId":"IP-110731","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":457773,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.petrol.2020.107015","text":"Publisher Index Page"},{"id":384492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.15283203125,\n 29.19053283229458\n ],\n [\n -88.08837890625,\n 29.19053283229458\n ],\n [\n -88.08837890625,\n 33.063924198120645\n ],\n [\n -94.15283203125,\n 33.063924198120645\n ],\n [\n -94.15283203125,\n 29.19053283229458\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"190","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennen, Kristin Opferkuch","contributorId":255529,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin","email":"","middleInitial":"Opferkuch","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garza, Daniel","contributorId":255532,"corporation":false,"usgs":false,"family":"Garza","given":"Daniel","email":"","affiliations":[{"id":51576,"text":"Sanchez Oil & Gas Corporation","active":true,"usgs":false}],"preferred":false,"id":812501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lohr, Celeste 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":209992,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valentine, Brett 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":209829,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":812522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":211802,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812523,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812524,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206441,"text":"sir20195122 - 2020 - Hydrogeologic characterization, groundwater chemistry, and vulnerability assessment, Ute Mountain Ute Reservation, Colorado and Utah","interactions":[],"lastModifiedDate":"2022-04-25T19:05:32.137207","indexId":"sir20195122","displayToPublicDate":"2020-02-10T14:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5122","displayTitle":"Hydrogeologic Characterization, Groundwater Chemistry, and Vulnerability Assessment, Ute Mountain Ute Reservation, Colorado and Utah","title":"Hydrogeologic characterization, groundwater chemistry, and vulnerability assessment, Ute Mountain Ute Reservation, Colorado and Utah","docAbstract":"

The U.S. Geological Survey, in cooperation with the Ute Mountain Ute Tribe (UMUT), initiated a study in 2016 to increase understanding of the hydrogeology and chemistry of groundwater within select areas of the Ute Mountain Ute Reservation (UMUR) in Colorado and Utah, identify vulnerabilities to the system and other natural resources, and outline information needs to aid in the understanding and protection of groundwater resources. The results presented for this study can be used to support the UMUT’s goal of protecting their vital groundwater resources on the UMUR.

Hydrogeologic conditions were characterized for the surficial aquifer contained in Quaternary-age unconsolidated surficial deposits and the Dakota aquifer contained in the Cretaceous-age Dakota Sandstone. In the surficial aquifer, median depth to water ranges from about 5.4 to 17.2 feet below land surface in the Farm and Ranch Enterprise area and 11 to 34 feet below land surface in the Towaoc area, and the water table slopes generally southwest or south. A map of depth to the top of the Dakota Sandstone was constructed from existing well data. Depths range from zero in outcrop areas to more than 3,000 feet below land surface on mesas in the southeastern part of the UMUR.

Groundwater-chemistry data were collected by the UMUT from 13 springs and 31 wells from 1996 through 2017. Specific conductance was much lower for samples from springs than from wells; median values were 512 and 6,024 microsiemens per centimeter at 25 degrees Celsius, respectively. Spring samples were well oxygenated. A few well samples were anoxic (dissolved oxygen concentrations less than 0.5 milligrams per liter [mg/L]), indicating reducing conditions in the aquifer. About 75 percent of spring samples had fresh water (total dissolved solids concentrations less than 1,000 mg/L), and about 85 percent of well samples had brackish or highly saline water (total dissolved solids concentrations greater than 1,000 mg/L). Water type for springs on the Ute Mountains was calcium bicarbonate. Lower-altitude springs had a calcium-sulfate water type. Most well samples had sodium as the dominant cation, and sulfate, bicarbonate, and chloride as the dominant anions. Fluoride concentrations in about 45 percent of well samples were greater than an agricultural-use standard of 2 mg/L.

Nitrate plus nitrite concentrations in most spring and well samples were less than about 1.6 mg/L per liter. Concentrations in samples from wells in the irrigated agricultural area were elevated; the maximum concentration was 78.5 mg/L. About one-half of the trace-element samples had concentrations that were less than laboratory reporting limits. Only aluminum, arsenic, and selenium in spring samples, and boron and selenium in well samples, were detected at concentrations greater than surface-water standards or water-quality standards for agricultural use of groundwater.

Only three organic compounds, the pesticides alachlor and atrazine and the volatile organic compound di(2-ethylhexyl) phthalate, were detected in well samples. The Escherichia coli bacteria was detected in 47 and 23 percent of samples from wells and springs, respectively. The E. coli detections included samples from three culturally significant springs, which did not meet the UMUT cultural-use standard of total absence of E. coli.

Tritium and carbon-14 were the primary environmental tracers used for interpreting groundwater ages for Lopez 2 Spring and five wells (AP–1, 5000 Block, Cottonwood Spring, Goodknight, and SE Toe). Water from the AP–1 well contained a mixture of pre- and post-1950s recharge. Tritium and carbon-14 recharge ages for Lopez 2 Spring (post-1950s in age), Goodknight and SE Toe wells (pre-1950s in age), and Cottonwood Spring well (primarily pre-1950s in age) are supported by helium-4 data. The helium-4 data for the 5000 Block well are inconsistent with the tritium and carbon-14 age of pre-1950s recharge because of interference caused by high methane concentrations in the water. 

Springs and surficial deposits are more vulnerable to contamination from anthropogenic chemicals than deeper bedrock wells. Bedrock aquifers are vulnerable in areas where the geologic formations containing the aquifers are exposed at the land surface. Groundwater in deep bedrock aquifers is likely thousands of years old and is not currently affected by present-day land uses. Both shallow and deep groundwater are vulnerable to naturally occurring salts and minerals, such as of total dissolved solids, major ions, nitrate, and trace elements.

Effects of a changing climate on water resources and other ecological characteristics of the UMUR could include changes in evapotranspiration, a decrease in snowpack, decreased aquifer recharge and flow of springs, a decrease in soil moisture, and increased occurrence of wildfires and forest mortality. Of particular interest for the UMUT are possible effects of a changing climate on medicinal and culturally important plants and springs

Several information needs were identified during this study that would aid in the understanding and protection of groundwater resources on the UMUR. These include well-completion information for bedrock wells, the collection of environmental tracer data at additional wells, the addition of methane and hydrocarbon analysis to well sampling plans, and the resampling of springs and wells that were last sampled in 2002 or earlier.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195122","collaboration":"Prepared in cooperation with the Ute Mountain Ute Tribe","usgsCitation":"Bauch, N.J., and Arnold, L.R., 2020, Hydrogeologic characterization, groundwater chemistry, and vulnerability assessment, Ute Mountain Ute Reservation, Colorado and Utah: U.S. Geological Survey Scientific Investigations Report 2019–5122, 76 p., https://doi.org/10.3133/sir20195122.","productDescription":"Report: ix, 76 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-095027","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":399604,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109676.htm"},{"id":372110,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S4MOB6","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial datasets for estimating depth to the top of the Dakota Sandstone, Ute Mountain Ute Reservation, Colorado, 2017"},{"id":372108,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5122/coverthb.jpg"},{"id":372109,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5122/sir20195122.pdf","text":"Report","size":"8.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5122"}],"country":"United States","state":"Colorado","otherGeospatial":"Ute Mountain Ute Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.0333,\n 37\n ],\n [\n -108.2667,\n 37\n ],\n [\n -108.2667,\n 37.3564\n ],\n [\n -109.0333,\n 37.3564\n ],\n [\n -109.0333,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-02-10","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":202707,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, L. Rick 0000-0002-5110-9642","orcid":"https://orcid.org/0000-0002-5110-9642","contributorId":214770,"corporation":false,"usgs":false,"family":"Arnold","given":"L. Rick","affiliations":[],"preferred":false,"id":774554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214967,"text":"70214967 - 2020 - Impacts of mineralogical variation on CO2 behavior in small pores from producing intervals of the Marcellus Shale: Results from neutron scattering","interactions":[],"lastModifiedDate":"2020-10-03T15:23:02.922277","indexId":"70214967","displayToPublicDate":"2020-02-10T10:21:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of mineralogical variation on CO2 behavior in small pores from producing intervals of the Marcellus Shale: Results from neutron scattering","docAbstract":"

The Near and InterMediate Range Order Diffractometer (NIMROD) was used to examine the potential impact of shale mineralogy on CO2 behavior within micropores. Two samples with varying mineral compositions were obtained from producing intervals in the dry gas window in the Middle Devonian Marcellus Shale. One of the samples contained relatively high amounts of quartz and clay and low carbonate, the other contained relatively equal amounts of quartz, carbonate, and clay. The samples were probed with CO2 at subcritical pressures (20–50 bar) and temperature (22 °C) and characterized over a neutron scattering vector (Q) range of 0.02 < Q < 50 Å–1. This Q range provides information from the atomistic length-scale up to pore radii of 10 nm. Mineralogy variations between the samples did not affect scattering ratios over the entire Q range accessible with the NIMROD. Q values for the minimum scattering ratios of both samples at similar pressures are remarkably similar, particularly for Q < ∼0.09 Å–1, and maximum scattering ratios are similar in both samples suggesting that mineral pores are so uncommon in the pore sizes examined that they cannot be resolved due to the overwhelming amounts of organic pores in these samples. Overall, these findings suggest that mineralogical variations have little effect on CO2 behavior within organic matter-hosted shale micropores at high thermal maturities and they lend support to the assertion that CO2 cannot be stored in the vast surface areas of micropores in organic material in shale formations. In addition, CO2 enhanced oil recovery (EOR) is unlikely to displace petroleum from some of the smaller mesopores (2.5 to ∼3.5 nm) and all of the micropores because they are effectively closed to CO2.

amples were probed with CO2 at subcritical pressures (20 50 bar) and temperature (22 oC) and characterized over a neutron scattering vector (Q) range of 0.02 < Q < 50 -1. This Q range provides information on nominal pore size radii of around 10 0.5 nm. Mineralogy variations between the samples did not affect scattering ratios over the entire Q range accessible with the NIMROD. Q values for the minimum scattering ratios of both samples at similar pressures are statistically indistinguishable and maximum scattering ratios are similar in both samples suggesting that mineral pores are either absent or are so uncommon that they cannot be resolved due to the overwhelming amounts of organic pores in these samples. Overall, these findings suggest that mineralogical variations have little effect on CO2 behavior within organic matter-hosted shale micropores at high thermal maturities and they lend support to the assertion that CO2 cannot be stored in the vast surface areas of micropores (<2.5 nm) in shale formations. In addition, CO2 enhanced oil recovery (EOR) is unlikely to displace petroleum from some of the smaller mesopores (2.5 10 nm) and all of the micropores because they are effectively closed to CO2.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.9b03744","usgsCitation":"Ruppert, L., Jubb, A., Headen, T.F., Youngs, T.G., and Bandli, B., 2020, Impacts of mineralogical variation on CO2 behavior in small pores from producing intervals of the Marcellus Shale: Results from neutron scattering: Energy & Fuels, v. 34, no. 3, p. 2765-2771, https://doi.org/10.1021/acs.energyfuels.9b03744.","productDescription":"7 p.","startPage":"2765","endPage":"2771","ipdsId":"IP-112608","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":379024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppert, Leslie F. 0000-0002-7453-1061","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":242600,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Headen, Thomas F 0000-0003-0095-5731","orcid":"https://orcid.org/0000-0003-0095-5731","contributorId":242601,"corporation":false,"usgs":false,"family":"Headen","given":"Thomas","email":"","middleInitial":"F","affiliations":[],"preferred":false,"id":800463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Youngs, Tristan G. A.","contributorId":202502,"corporation":false,"usgs":false,"family":"Youngs","given":"Tristan","email":"","middleInitial":"G. A.","affiliations":[{"id":36465,"text":"Disordered Materials Group (ISIS), STFC Rutherford Appleton Laboratory, U.K.","active":true,"usgs":false}],"preferred":false,"id":800464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bandli, Bryan","contributorId":242602,"corporation":false,"usgs":false,"family":"Bandli","given":"Bryan","email":"","affiliations":[],"preferred":false,"id":800465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211572,"text":"70211572 - 2020 - Quantifying 40 years of rockfall activity in Yosemite Valley with historical Structure-from-Motion photogrammetry and terrestrial laser scanning","interactions":[],"lastModifiedDate":"2020-07-31T14:56:04.113807","indexId":"70211572","displayToPublicDate":"2020-02-10T09:42:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying 40 years of rockfall activity in Yosemite Valley with historical Structure-from-Motion photogrammetry and terrestrial laser scanning","docAbstract":"

Rockfalls and rockslides are often dominant geomorphic processes in steep bedrock landscapes, but documenting their occurrence can be challenging, requiring frequent monitoring and well resolved spatial data. Repeat application of remote sensing methods such as Terrestrial Laser Scanning (TLS) and Structure-from-Motion (SfM) photogrammetry can detect even very small rockfalls, but typically these acquisitions span only years and may not record rockfall activity representative of longer-term rates of cliff erosion. Inventory databases can extend rockfall records, but are commonly incomplete and prone to observation bias. We employed TLS and SfM on two adjacent cliffs (El Capitan and Middle Brother) in Yosemite Valley, integrating semi-annual data collections from 2010 to 2017 with “historical” (archival) SfM models derived from oblique photographs taken in 1976. Comparing the 1976 SfM models against more recent data allows for more accurate and precise rockfall detection and volume measurement over a 40-year period. Change detection indicates that 235 rockfalls occurred from the two cliffs, more than twice as many events as are recorded in Yosemite's inventory database. Although individual rockfall volumes reported in the inventory database vary from those measured by SfM-TLS, reported cumulative volumes are similar to measured volumes, likely because the large-volume events that account for most of the cumulative volume tend to be widely observed and well-documented. Volume-frequency relationships indicate that the cliffs erode predominantly by less frequent, larger-volume rockfalls, at rates of 0.9 to 1.7 mm/yr. Our study demonstrates how integrated SfM and TLS measurements, especially utilizing SfM models derived from historical imagery, allow detection and quantification of rockfalls spanning several decades, complementing and improving inventory databases, informing rockfall hazard assessment, and providing longer-term rates of cliff erosion.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2020.107069","usgsCitation":"Guerin, A., Stock, G.M., Radue, M.J., Jaboyedoff, M., Collins, B.D., Matasci, B., Avdievitch, N., and Derron, M., 2020, Quantifying 40 years of rockfall activity in Yosemite Valley with historical Structure-from-Motion photogrammetry and terrestrial laser scanning: Geomorphology, v. 356, 107069, 18 p., https://doi.org/10.1016/j.geomorph.2020.107069.","productDescription":"107069, 18 p.","ipdsId":"IP-109426","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":376948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.89242553710938,\n 37.62402129571883\n ],\n [\n -119.17831420898436,\n 37.62402129571883\n ],\n [\n -119.17831420898436,\n 38.14967752360809\n ],\n [\n -119.89242553710938,\n 38.14967752360809\n ],\n [\n -119.89242553710938,\n 37.62402129571883\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"356","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guerin, Antoine","contributorId":236904,"corporation":false,"usgs":false,"family":"Guerin","given":"Antoine","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":794654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Greg M.","contributorId":202873,"corporation":false,"usgs":false,"family":"Stock","given":"Greg","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":794655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Radue, Mariah J.","contributorId":236905,"corporation":false,"usgs":false,"family":"Radue","given":"Mariah","email":"","middleInitial":"J.","affiliations":[{"id":47563,"text":"National Park Service, Yosemite National Park, California","active":true,"usgs":false}],"preferred":false,"id":794656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaboyedoff, Michel","contributorId":205586,"corporation":false,"usgs":false,"family":"Jaboyedoff","given":"Michel","affiliations":[{"id":37117,"text":"University of Lausanne (Switzerland)","active":true,"usgs":false}],"preferred":false,"id":794657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":794658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matasci, Battista","contributorId":204938,"corporation":false,"usgs":false,"family":"Matasci","given":"Battista","email":"","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":794659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avdievitch, Nikita","contributorId":236911,"corporation":false,"usgs":false,"family":"Avdievitch","given":"Nikita","affiliations":[],"preferred":false,"id":794660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Derron, Marc-Henri","contributorId":236906,"corporation":false,"usgs":false,"family":"Derron","given":"Marc-Henri","email":"","affiliations":[{"id":37010,"text":"University of Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":794661,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227005,"text":"70227005 - 2020 - Inexpensive, underwater filming of rare fishes in high definition","interactions":[],"lastModifiedDate":"2021-12-27T14:30:12.954468","indexId":"70227005","displayToPublicDate":"2020-02-10T08:26:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Inexpensive, underwater filming of rare fishes in high definition","docAbstract":"

Generating public interest in fish and their biology is often challenging. Many aquatic species are cryptic and largely invisible to the public. Therefore, increasing public awareness of cryptic fishes and elevating their visibility to broad audiences requires innovation. Inexpensive technological advancements now provide fisheries biologists, managers, and researchers with means never before possible for documenting fish in their natural habitat via underwater videography. We investigated cost efficient and simple methods for capturing and creating high quality, high definition, and informative underwater videos that could be used by people with little or no previous experience in videography. We tested 1) a variety of filming equipment including cameras and camera recording settings, lenses, batteries, and memory cards; 2) active and passive camera deployment techniques; and 3) a variety of free and paid postproduction software and compared them for ease of use, expense, and quality of output. Highest quality footage, i.e., highest resolution, clearest, and most stable, was obtained using a GoPro action camera deployed underwater in a stationary position mounted to a metal base plate using a combination of stock and macro lenses, and filming in 4K resolution at 30 frames per second. Final production videos were created using Adobe Premiere Pro.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10391","usgsCitation":"Bonar, S.A., and Ulrich, T., 2020, Inexpensive, underwater filming of rare fishes in high definition: Fisheries Magazine, v. 45, no. 3, p. 121-130, https://doi.org/10.1002/fsh.10391.","productDescription":"10 p.","startPage":"121","endPage":"130","ipdsId":"IP-106514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulrich, Taylor","contributorId":270364,"corporation":false,"usgs":false,"family":"Ulrich","given":"Taylor","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":829153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228618,"text":"70228618 - 2020 - Assessing establishment and growth of agricultural plantings on reservoir mudflats","interactions":[],"lastModifiedDate":"2022-02-15T13:12:38.484704","indexId":"70228618","displayToPublicDate":"2020-02-10T07:10:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing establishment and growth of agricultural plantings on reservoir mudflats","docAbstract":"

Winter drawdowns in flood control reservoirs create expansive mudflats that lack the vegetation typical of littoral zones, which reduces the amount of structure available for fish habitat. This study investigated the feasibility of establishing agricultural plantings as a management action to ameliorate mudflats by providing structural cover following reservoir refilling. We tested cool-season annual grasses and clovers applied in several mixed and monoculture treatments that were sown on the mudflats of Enid Reservoir, Mississippi, during the winter drawdown in three consecutive years. Soil samples were taken for analysis of pH and macronutrients prior to planting. Plantings were monitored until the following spring to evaluate effectiveness of establishment through ground coverage, height, and stem density sampling. Plots were assigned a seeding treatment of either grasses (ryegrass Lolium spp. or triticale x Triticosecale sp.), clovers (balansa clover Trifolium michelianum or berseem clover Trifolium alexandrinum), or both (mixed plantings) or left as an unseeded control. Differences among plant treatments were assessed via repeated measures analysis of variance and differences among means evaluated with Tukey's honestly significant difference test. Soil productivity within the study area was poor all 3 years. Grasses germinated both when disked into the soil and when top sown, while clover only germinated when disked. Plots seeded with grasses performed better than control plots with respect to stem density, height, and ground coverage, while plots seeded with grass and clover mixtures performed better than control plots only with respect to height, and plots seeded with only clover did not perform significantly better than control plots. Results serve as an evaluation of the efficacy of agricultural plant establishment on the mudflats of a flood control reservoir, inform the direction of future research, and identify considerations regarding the application of agricultural plantings as a management tool to create fish habitat.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10419","usgsCitation":"Norris, D.M., Hatcher, H., Colvin, M.E., Coppola, G., Lashley, M.A., and Miranda, L.E., 2020, Assessing establishment and growth of agricultural plantings on reservoir mudflats: North American Journal of Fisheries Management, v. 40, no. 2, p. 394-405, https://doi.org/10.1002/nafm.10419.","productDescription":"12 p.","startPage":"394","endPage":"405","ipdsId":"IP-112978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Enid Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.94438171386719,\n 34.107824929870844\n ],\n [\n -89.70474243164062,\n 34.107824929870844\n ],\n [\n -89.70474243164062,\n 34.19874101783143\n ],\n [\n -89.94438171386719,\n 34.19874101783143\n ],\n [\n -89.94438171386719,\n 34.107824929870844\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Norris, D. M.","contributorId":271192,"corporation":false,"usgs":false,"family":"Norris","given":"D.","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatcher, H.R.","contributorId":278602,"corporation":false,"usgs":false,"family":"Hatcher","given":"H.R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":275884,"corporation":false,"usgs":false,"family":"Colvin","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coppola, G.","contributorId":265335,"corporation":false,"usgs":false,"family":"Coppola","given":"G.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, M. A.","contributorId":278603,"corporation":false,"usgs":false,"family":"Lashley","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834851,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225151,"text":"70225151 - 2020 - Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings","interactions":[],"lastModifiedDate":"2021-10-14T12:36:44.168238","indexId":"70225151","displayToPublicDate":"2020-02-09T07:34:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings","docAbstract":"

Pinnipeds are commonly monitored using aerial photographic surveys at land- or ice-based sites, where animals come ashore for resting, pupping, molting, and to avoid predators. Although these counts form the basis for monitoring population change over time, they do not provide information regarding where animals occur in the water, which is often of management and conservation interest. In this study, we developed a hierarchical model that links counts of pinnipeds at terrestrial sites to sightings-at-sea and estimates abundance, spatial distribution, and the proportion of time spent on land (attendance probability). The structure of the model also allows for the inclusion of predictors that may explain variation in ecological and observation processes. We applied the model to Steller sea lions (Eumetopias jubatus) in Glacier Bay, Alaska using counts of sea lions from aerial photographic surveys and opportunistic in-water sightings from vessel surveys. Glacier Bay provided an ideal test and application of the model because data are available on attendance probability based on long-term monitoring. We found that occurrence in the water was positively related to proximity to terrestrial sites, as would be expected for a species that engages in central-place foraging. The proportion of sea lions in attendance at terrestrial sites and overall abundance estimates were consistent with reports from the literature and monitoring programs. The model we describe has benefit and utility for park managers who wish to better understand the overlap between pinnipeds and visitors, and the framework that we present has potential for application across a variety of study systems and taxa.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.108965","usgsCitation":"Whitlock, S., Womble, J., and Peterson, J., 2020, Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings: Ecological Modelling, v. 420, 108965, 11 p., https://doi.org/10.1016/j.ecolmodel.2020.108965.","productDescription":"108965, 11 p.","ipdsId":"IP-105882","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457777,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2020.108965","text":"Publisher Index Page"},{"id":390517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -139.63623046875,\n 57.237448817822425\n ],\n [\n -132.16552734375,\n 57.237448817822425\n ],\n [\n -132.16552734375,\n 59.58441353704829\n ],\n [\n -139.63623046875,\n 59.58441353704829\n ],\n [\n -139.63623046875,\n 57.237448817822425\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"420","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":267708,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":825171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Womble, Jamie N.","contributorId":267709,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":825172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":825170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227739,"text":"70227739 - 2020 - Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape","interactions":[],"lastModifiedDate":"2022-01-28T16:06:48.496916","indexId":"70227739","displayToPublicDate":"2020-02-08T10:02:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape","docAbstract":"

Submerged aquatic vegetation (SAV) thrives across the estuarine salinity gradient providing valuable ecosystem services. Within the saline portion of estuaries, seagrass areas are frequently cited as hotspots for their role in capturing and retaining organic carbon (Corg). Non-seagrass SAV, located in the fresh to brackish estuarine areas, may also retain significant soil Corg, yet their role remains unquantified. Given rapidly occurring landscape and salinity changes due to human and natural disturbances, landscape level carbon pool estimates from estuarine SAV habitat blue carbon estimates are needed. We assessed Corg stocks in SAV habitat soils from estuarine freshwater to saline habitats (interior deltaic) to saline barrier islands (Chandeleur Island) within the Mississippi River Delta Plain (MRDP), Louisiana, USA. SAV habitats contain Corg stocks equivalent to those reported for other estuarine vegetation types (seagrass, salt marsh, mangrove). Interior deltaic SAV Corg stocks (231.6 ± 19.5 Mg Corg ha−1) were similar across the salinity gradient, and significantly higher than at barrier island sites (56.6 ± 10.4 Mg Corg ha−1). Within the MRDP, shallow water SAV habitat covers up to an estimated 28,000 ha, indicating that soil Corg storage is potentially 6.4 ± 0.1 Tg representing an unaccounted Corg pool. Extrapolated across Louisiana, and the Gulf of Mexico, this represents a major unaccounted pool of soil Corg. As marshes continue to erode, the ability of coastal SAV habitat to offset some of the lost carbon sequestration may be valuable. Our estimates of Corg sequestration rates indicated that conversion of eroding marsh to potential SAV habitat may help to offset the reduction of Corg sequestration rates. Across Louisiana, we estimated SAV to offset this loss by as much as 79,000 Mg C yr−1 between the 1960s and 2000s.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137217","usgsCitation":"Hillman, E.R., Rivera-Monroy, V., Nyman, A.J., and La Peyre, M., 2020, Estuarine submerged aquatic vegetation habitat provides organic carbon storage across a shifting landscape: Science of the Total Environment, v. 717, 137217, 12 p., https://doi.org/10.1016/j.scitotenv.2020.137217.","productDescription":"137217, 12 p.","ipdsId":"IP-090252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/agrnr_pubs/603","text":"Publisher Index Page"},{"id":395067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.6431884765625,\n 29.776297851831366\n ],\n [\n -88.81072998046875,\n 30.21398171687066\n ],\n [\n -89.56878662109375,\n 30.161751648356894\n ],\n [\n -89.86541748046875,\n 30.401306519203583\n ],\n [\n -90.318603515625,\n 30.557530797259172\n ],\n [\n -91.01074218749999,\n 30.57408532473883\n ],\n [\n -91.15631103515625,\n 30.28990324883237\n ],\n [\n -91.834716796875,\n 29.935895213372444\n ],\n [\n -91.878662109375,\n 29.76437737516313\n ],\n [\n -91.285400390625,\n 29.008140362978157\n ],\n [\n -90.428466796875,\n 28.738763971370293\n ],\n [\n -89.05517578125,\n 28.9120147012556\n ],\n [\n -88.6431884765625,\n 29.776297851831366\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"717","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillman, E. R.","contributorId":264718,"corporation":false,"usgs":false,"family":"Hillman","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":831996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rivera-Monroy, V. H.","contributorId":272502,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"V. H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":831997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nyman, A. J.","contributorId":265337,"corporation":false,"usgs":false,"family":"Nyman","given":"A.","email":"","middleInitial":"J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":831998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208829,"text":"70208829 - 2020 - Genes in space: What Mojave desert tortoise genetics can tell us about landscape connectivity","interactions":[],"lastModifiedDate":"2020-04-06T23:15:41.220637","indexId":"70208829","displayToPublicDate":"2020-02-08T08:46:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genes in space: What Mojave desert tortoise genetics can tell us about landscape connectivity","docAbstract":"Habitat loss and fragmentation in the Mojave Desert have been increasing, which can create barriers to movement and gene flow leading to decreased populations of native species. Disturbance and degradation of Mojave desert tortoise habitat includes linear features (e.g. highways, railways, and a network of dirt roads), urbanized areas, and their associated infrastructure, mining activities, energy distribution systems, and most recently, utility-scale solar facilities. To evaluate the spatial genetic structure of tortoises in an area experiencing rapid habitat loss, we conducted field surveys from 2015-2017 and genotyped 299 tortoises at 20 microsatellite loci within and around Ivanpah Valley along the California/Nevada border. We used a Bayesian clustering analysis to examine population genetic structure across valley and mountain pass habitat. Spatial principal components analysis was included to further investigate population genetic structure with isolation-by-distance. To explicitly incorporate landscape features (e.g. habitat and anthropogenic linear barriers) we used maximum likelihood population effects. We assessed recent gene flow on the landscape through maximum likelihood pedigree analyses of relatedness. We detected three to four genetic clusters with high levels of admixture that generally corresponded to three valleys separated by mountain ranges, and a genetically distinguishable population in one mountain pass. Pedigree analyses showed second order relationships up to 60 km apart suggesting a greater range of interactions and inter-relatedness between individuals than previously suspected. Our results support historical gene flow with isolation-by-resistance, and reveal a genetic signal indicative of reduction in genetic connectivity across two parallel linear features (a railway and a highway). This work demonstrates the value of protecting connected tracts of functional habitat and the importance of connectivity research in conservation.","language":"English","publisher":"Springer","doi":"10.1007/s10592-020-01251-z","usgsCitation":"Dutcher, K.E., Vandergast, A.G., Esque, T., Mitelberg, A., Matocq, M.D., Heaton, J.S., and Nussear, K., 2020, Genes in space: What Mojave desert tortoise genetics can tell us about landscape connectivity: Conservation Genetics, v. 21, p. 289-303, https://doi.org/10.1007/s10592-020-01251-z.","productDescription":"15 p.","startPage":"289","endPage":"303","ipdsId":"IP-113961","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437120,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90LIQRI","text":"USGS data release","linkHelpText":"Microsatellite genotypes for desert tortoise (Gopherus agassizii) in Ivanpah Valley (2015-2017)"},{"id":372836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada ","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3946533203125,\n 33.65578083204094\n ],\n [\n -114.70275878906249,\n 33.280027811732154\n ],\n [\n -114.40612792968749,\n 35.14686290675633\n ],\n [\n -115.77941894531249,\n 35.92464453144099\n ],\n [\n -116.70227050781249,\n 35.420391545750746\n ],\n [\n -117.32299804687499,\n 34.985003130171066\n ],\n [\n -116.83959960937499,\n 34.347971491244955\n ],\n [\n -116.3946533203125,\n 33.65578083204094\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Dutcher, Kirsten E.","contributorId":221063,"corporation":false,"usgs":false,"family":"Dutcher","given":"Kirsten","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":783516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitelberg, Anna amitelberg@usgs.gov","contributorId":173293,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matocq, Marjorie D","contributorId":222917,"corporation":false,"usgs":false,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":783519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heaton, Jill S.","contributorId":175155,"corporation":false,"usgs":false,"family":"Heaton","given":"Jill","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":783520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nussear, Ken E","contributorId":221816,"corporation":false,"usgs":false,"family":"Nussear","given":"Ken E","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":783521,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}