Cisco (Coregonus artedi) and lake whitefish (Coregonus clupeaformis) are native fish species of management concern in the Laurentian Great Lakes that often overlap in spawning locations and timing. Thus, species-level inference from in situ sampling requires methods to differentiate their eggs. Genetic barcoding and hatching eggs to visually identify larvae are used but can be time and cost intensive. Observations in published literature indicate that lake whitefish eggs may be larger than cisco eggs in the Great Lakes, but this has not yet been substantiated. Samples from shared spawning grounds are unlikely to contain similarly sized or colored eggs from other species. Thus, we assessed whether lake whitefish and cisco eggs could be separated based on size alone. Fertilized, hardened eggs were collected in situ during spawning at Elk Rapids, Lake Michigan and Chaumont Bay, Lake Ontario and preserved in ethanol. Individual eggs were measured and genetically identified. Mean diameter for cisco (2.45 mm, SD = 0.22, n = 444) was smaller than for lake whitefish (3.21 mm, SD = 0.20, n = 99). We used classification trees to identify a species-separating size threshold of 2.88 mm (95% bootstrap CI = [2.877, 2.976]), which classified eggs with an accuracy rate of 96%. Differences between species across other samples from the same locations were mostly consistent with the threshold size, but we suggest validation if applying this method to other populations. Separation of cisco and lake whitefish eggs by diameter can be accurate, efficient, and especially suitable for large sample sizes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.01.014","usgsCitation":"Paufve, M.R., Sethi, S., Rudstam, L., Weidel, B., Lantry, B.F., Chalupnicki, M., Dey, K., and Herbert, M., 2020, Differentiation between lake whitefish and cisco eggs based on diameter: Journal of Great Lakes Research, v. 46, no. 4, p. 1058-1062, https://doi.org/10.1016/j.jglr.2020.01.014.","productDescription":"5 p.","startPage":"1058","endPage":"1062","ipdsId":"IP-111088","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":457727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.01.014","text":"Publisher Index Page"},{"id":395695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Michigan, Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.5947265625,\n 45.767522962149876\n ],\n [\n -84.96826171874999,\n 46.10370875598026\n ],\n [\n -85.49560546875,\n 46.17983040759436\n ],\n [\n -87.099609375,\n 45.920587344733654\n ],\n [\n -88.1982421875,\n 44.449467536006935\n ],\n [\n -86.94580078125,\n 45.336701909968134\n ],\n [\n -87.9345703125,\n 43.89789239125797\n ],\n [\n -88.13232421875,\n 42.374778361114195\n ],\n [\n -87.5390625,\n 41.590796851056005\n ],\n [\n -86.68212890625,\n 41.78769700539063\n ],\n [\n -86.2646484375,\n 42.66628070564928\n ],\n [\n -86.396484375,\n 43.35713822211053\n ],\n [\n -86.55029296875,\n 43.723474896114794\n ],\n [\n -86.11083984375,\n 44.731125592643274\n ],\n [\n -85.6494140625,\n 45.13555516012536\n ],\n [\n -85.62744140625,\n 44.77793589631623\n ],\n [\n -85.27587890625,\n 45.07352060670971\n ],\n [\n -85.27587890625,\n 45.30580259943578\n ],\n [\n -85.078125,\n 45.47554027158593\n ],\n [\n -85.078125,\n 45.62940492064501\n ],\n [\n -84.5947265625,\n 45.767522962149876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.17919921875,\n 43.65197548731187\n ],\n [\n -76.22314453125,\n 43.88205730390537\n ],\n [\n -76.102294921875,\n 43.95328204198018\n ],\n [\n -76.365966796875,\n 44.22158376545796\n ],\n [\n -76.937255859375,\n 44.04811573082351\n ],\n [\n -77.025146484375,\n 43.92163712834673\n ],\n [\n -76.81640625,\n 43.937461690316646\n ],\n [\n -77.178955078125,\n 43.82660134505382\n ],\n [\n -77.28881835937499,\n 43.92163712834673\n ],\n [\n -77.23388671874999,\n 43.96909818325171\n ],\n [\n -77.45361328125,\n 43.937461690316646\n ],\n [\n -77.6513671875,\n 44.01652134387754\n ],\n [\n -78.33251953125,\n 43.92163712834673\n ],\n [\n -78.870849609375,\n 43.89789239125797\n ],\n [\n -79.376220703125,\n 43.70759350405294\n ],\n [\n -79.69482421875,\n 43.44494295526125\n ],\n [\n -79.87060546875,\n 43.27720532212024\n ],\n [\n -79.25537109375,\n 43.16512263158296\n ],\n [\n -78.958740234375,\n 43.32517767999296\n ],\n [\n -78.486328125,\n 43.34914966389313\n ],\n [\n -77.87109375,\n 43.389081939117496\n ],\n [\n -77.640380859375,\n 43.25320494908846\n ],\n [\n -77.398681640625,\n 43.23719944365308\n ],\n [\n -77.080078125,\n 43.26920624914964\n ],\n [\n -76.92626953125,\n 43.24520272203356\n ],\n [\n -76.56372070312499,\n 43.46089378008257\n ],\n [\n -76.4208984375,\n 43.54058479482877\n ],\n [\n -76.256103515625,\n 43.52465500687185\n ],\n [\n -76.17919921875,\n 43.65197548731187\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paufve, Matthew R.","contributorId":275303,"corporation":false,"usgs":false,"family":"Paufve","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":833965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudstam, Lars G.","contributorId":275304,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":833966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dey, Kristopher","contributorId":275305,"corporation":false,"usgs":false,"family":"Dey","given":"Kristopher","email":"","affiliations":[{"id":33110,"text":"Little Traverse Bay Bands of Odawa Indians","active":true,"usgs":false}],"preferred":false,"id":833970,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herbert, Matthew","contributorId":275306,"corporation":false,"usgs":false,"family":"Herbert","given":"Matthew","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":833971,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70207315,"text":"gip195 - 2020 - Cooperative Fish and Wildlife Research Units program—2019 year in review postcard","interactions":[],"lastModifiedDate":"2020-02-14T06:07:57","indexId":"gip195","displayToPublicDate":"2020-02-13T11:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"195","displayTitle":"Cooperative Fish and Wildlife Research Units Program—2019 Year in Review Postcard","title":"Cooperative Fish and Wildlife Research Units program—2019 year in review postcard","docAbstract":"Dear friends,
I invite you to take a look at U.S. Geological Survey Circular 1463, “Cooperative Fish and Wildlife Research Units Program—2019 Year in Review,” now available at https://doi.org/10.3133/cir1463. In this report, you will find details about the Cooperative Fish and Wildlife Research Units (CRU) program concerning fish and wildlife science, students, staffing, vacancies, research funding, outreach and training, awards, accolades, and professional services. You will also see examples of unit projects with information on how results have been or are being applied by our cooperators.
Throughout the year, keep up with our research projects at https://www1.usgs.gov/coopunits/Headquarters/.
Regards,
John D. Thompson
Cooperative Fish and Wildlife Research Units Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 303
Reston, VA 20192
Dear Cooperators:
Members of the Cooperative Research Units are pleased to provide you with the “2019 Year in Review” report for the Cooperative Fish and Wildlife Research Units (CRUs). You will first note that this report looks a little different than those published in the past few years, as we opted for a shorter, more concise format this year. Inside you will find brief descriptions of just a few highlighted activities of unit scientists, students, and cooperators in support of our joint mission. Because of the shorter format, we are not able to include activities from every unit or State, but rest assured that we continue to value the great work that all of you do across the country and around the world.
In fiscal year 2019, the CRU program was very productive despite challenging conditions, including budget uncertainty, a month-long furlough, and hiring delays. John Organ, Chief of the CRU program, retired in January 2019. The process to replace John was delayed several times, but as I write this, the position has been announced on the Federal Government recruitment site. I am hopeful that by the time you read this, we will have a new permanent chief. Congress provided an increase of $1 million in our allocation for the express purpose of filling some of the vacancies in our scientific workforce. Since receiving that increase, the management team has been working to fill vacancies.
The program is fortunate to have excellent research scientists, dedicated leadership, and an outstanding administrative staff. However, our accomplishments depend on the tremendous support from all of you. We look forward to a productive 2020.
John D. Thompson
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1463","usgsCitation":"Thompson, J.D., Dennerline, D.E., and Childs, D.E., 2020, Cooperative Fish and Wildlife Research Units program—2019 year in review: U.S. Geological Survey Circular 1463, 22 p., https://doi.org/10.3133/cir1463.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-111488","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":372261,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/gip195","text":"General Information Product 195","linkHelpText":" - Cooperative Fish and Wildlife Research Units Program—2019 Year in Review Postcard"},{"id":372274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1463/cir1463.pdf","text":"Report","size":"5.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1463"},{"id":372259,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1463/coverthb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8046875,\n 47.754097979680026\n ],\n [\n -124.8046875,\n 43.89789239125797\n ],\n [\n -124.45312499999999,\n 40.04443758460856\n ],\n [\n -120.58593749999999,\n 33.87041555094183\n ],\n [\n -117.68554687499999,\n 32.91648534731439\n ],\n [\n -114.78515624999999,\n 32.54681317351514\n ],\n [\n -108.6328125,\n 31.052933985705163\n ],\n [\n -105.556640625,\n 31.353636941500987\n ],\n [\n -103.271484375,\n 29.22889003019423\n ],\n [\n -101.25,\n 29.38217507514529\n ],\n [\n -97.119140625,\n 25.48295117535531\n ],\n [\n -96.064453125,\n 28.613459424004414\n ],\n [\n -92.98828125,\n 28.92163128242129\n ],\n [\n -89.296875,\n 29.22889003019423\n ],\n [\n -84.55078125,\n 29.53522956294847\n ],\n [\n -82.001953125,\n 26.43122806450644\n ],\n [\n -80.771484375,\n 25.16517336866393\n ],\n [\n -79.8046875,\n 26.115985925333536\n ],\n [\n -81.2109375,\n 29.6880527498568\n ],\n [\n -80.771484375,\n 31.87755764334002\n ],\n [\n -75.498046875,\n 35.460669951495305\n ],\n [\n -74.970703125,\n 38.47939467327645\n ],\n [\n -72.50976562499999,\n 40.713955826286046\n ],\n [\n -69.78515625,\n 41.50857729743935\n ],\n [\n -70.400390625,\n 42.4234565179383\n ],\n [\n -69.345703125,\n 43.58039085560784\n ],\n [\n -66.533203125,\n 45.521743896993634\n ],\n [\n -67.8515625,\n 47.100044694025215\n ],\n [\n -69.43359375,\n 47.39834920035926\n ],\n [\n -71.54296874999999,\n 44.96479793033101\n ],\n [\n -75.05859375,\n 44.96479793033101\n ],\n [\n -78.837890625,\n 43.83452678223682\n ],\n [\n -83.3203125,\n 41.902277040963696\n ],\n [\n -81.9140625,\n 43.70759350405294\n ],\n [\n -82.44140625,\n 45.583289756006316\n ],\n [\n -87.978515625,\n 48.40003249610685\n ],\n [\n -94.833984375,\n 49.26780455063753\n ],\n [\n -115.04882812499999,\n 49.26780455063753\n ],\n [\n -123.134765625,\n 48.980216985374994\n ],\n [\n -123.48632812499999,\n 48.3416461723746\n ],\n [\n -124.892578125,\n 48.516604348867475\n ],\n [\n -124.8046875,\n 47.754097979680026\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Cooperative Fish and Wildlife Research Units Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 303
Reston, VA 20192
Hellbenders Cryptobranchus alleganiensis are critically imperiled amphibians throughout the eastern USA. Rock-lifting is widely used to monitor hellbenders but can severely disturb habitat. We asked whether artificial shelter occupancy (the proportion of occupied shelters in an array) would function as a proxy for hellbender abundance and thereby serve as a viable alternative to rock-lifting. We hypothesized that shelter occupancy would vary spatially in response to hellbender density, natural shelter density, or both, and would vary temporally with hellbender seasonal activity patterns and time since shelter deployment. We established shelter arrays (n = 30 shelters each) in 6 stream reaches and monitored them monthly for up to 2 yr. We used Bayesian mixed logistic regression and model ranking criteria to assess support for hypotheses concerning drivers of shelter occupancy. In all reaches, shelter occupancy was highest from June-August each year and was higher in Year 2 relative to Year 1. Our best-supported model indicated that the extent of boulder and bedrock (hereafter, natural shelter) in a reach mediated the relationship between hellbender abundance and shelter occupancy. More explicitly, shelter occupancy was positively correlated with abundance when natural shelter covered <20% of a reach, but uncorrelated with abundance when natural shelter was more abundant. While shelter occupancy should not be used to infer variation in hellbender relative abundance when substrate composition varies among reaches, we showed that artificial shelters can function as valuable monitoring tools when reaches meet certain criteria, though regular shelter maintenance is critical.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01014","usgsCitation":"Bodinof Jachowski, C.M., Ross, B., and Hopkins, W., 2020, Evaluating artificial shelter arrays as a minimally invasive monitoring tool for the hellbender Cryptobranchus alleganiensis: Endangered Species Research, v. 41, p. 167-181, https://doi.org/10.3354/esr01014.","productDescription":"15 p.","startPage":"167","endPage":"181","ipdsId":"IP-107334","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":457730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01014","text":"Publisher Index Page"},{"id":395435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"upper Tennessee River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.50732421875,\n 36.56260003738545\n ],\n [\n -80.540771484375,\n 36.56260003738545\n ],\n [\n -80.540771484375,\n 37.26530995561875\n ],\n [\n -82.50732421875,\n 37.26530995561875\n ],\n [\n -82.50732421875,\n 36.56260003738545\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bodinof Jachowski, C. M.","contributorId":274670,"corporation":false,"usgs":false,"family":"Bodinof Jachowski","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":833211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, W.A.","contributorId":274671,"corporation":false,"usgs":false,"family":"Hopkins","given":"W.A.","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":833213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215612,"text":"70215612 - 2020 - OpenCLC: An open-source software tool for similarity assessment of linear hydrographic features","interactions":[],"lastModifiedDate":"2020-10-26T14:47:58.968907","indexId":"70215612","displayToPublicDate":"2020-02-13T09:43:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5923,"text":"SoftwareX","active":true,"publicationSubtype":{"id":10}},"title":"OpenCLC: An open-source software tool for similarity assessment of linear hydrographic features","docAbstract":"The National Hydrography Dataset (NHD) is a foundational geospatial data source in the United States that enables extensive and diverse environmental research and supports decision-making in numerous contexts. However, the NHD requires regular validation and update given possible inconsistent initial collection and hydrographic changes. Furthermore, systems or tools that use NHD data must manage regular updates that occur within the high-resolution version of the NHD (NHD HR). This research contributes to filling this gap by establishing an open-source software tool named OpenCLC, which automatically identifies matching and mismatching line features between two sets of hydrographic flowlines. Aside from identifying differences among two version of NHD lines, results can be applied to improve the quality of NHD HR content. OpenCLC significantly outperforms the best available commercial off-the-shelf software in computational scalability, and it is made widely available as part of the CyberGIS Toolkit to benefit broad environmental and geospatial science communities.
Aim
Human development and agriculture can have transformative and homogenizing effects on natural systems, shifting the composition of ecological communities towards non-native and native species that tolerate or thrive under human-dominated conditions. These impacts cannot be fully captured by summarizing species presence, as they include dramatic changes to patterns of species abundance. However, how human land use patterns and species invasions intersect to shape patterns of abundance and dominance within ecological communities is poorly understood even in well-known taxa.
Location
Conterminous United States.
Time period
2010–2012.
Major taxa studied
Passeriformes.
Methods
We analyse continental-scale monitoring data to study the proportional abundance of non-native and native synanthropic species within passerine bird communities. Synanthropic species are those that benefit from an association with humans. We estimate how the amount and configuration of human development and agriculture relate to the degree to which human-associated species dominate passerine communities across the continent.
Results
Human-associated species comprised the majority of detected passerine individuals across two-thirds of bird surveys. Non-native and synanthropic species responded differently to land cover and reached highest relative abundance in different portions of the continent. The proportional abundance of synanthropic birds increased rapidly with development, but was not related to the configuration of land cover. The proportion of non-native individuals was higher when intensively-used land cover was more aggregated.
Main conclusions
Even low amounts of intensively-used lands were associated with a dramatic reshaping of passerine communities, with consequences for patterns of relative abundance across the continent.
","language":"English","publisher":"Wiley","doi":"10.1111/geb.13071","usgsCitation":"Sofaer, H., Flather, C.H., Jarnevich, C.S., Davis, K.P., and Pejchar, L., 2020, Human-associated species dominate passerine communities across the United States: Global Ecology and Biogeography, v. 29, no. 5, p. 885-895, https://doi.org/10.1111/geb.13071.","productDescription":"11 p.","startPage":"885","endPage":"895","ipdsId":"IP-112289","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437112,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZZU8T","text":"USGS data release","linkHelpText":"Non-native and synanthropic bird data derived from 2010-2012 Breeding Bird Survey and associated landscape metrics from 2011 NLCD"},{"id":396545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-02-13","publicationStatus":"PW","contributors":{"editors":[{"text":"Sheard, Catherine","contributorId":287138,"corporation":false,"usgs":false,"family":"Sheard","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":836489,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Sofaer, Helen R. 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":836412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flather, Curtis H.","contributorId":177590,"corporation":false,"usgs":false,"family":"Flather","given":"Curtis","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":836413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":836414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Kristin P. 0000-0003-1204-4687","orcid":"https://orcid.org/0000-0003-1204-4687","contributorId":286993,"corporation":false,"usgs":true,"family":"Davis","given":"Kristin","email":"","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":836415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pejchar, Liba","contributorId":225494,"corporation":false,"usgs":false,"family":"Pejchar","given":"Liba","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":836416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208518,"text":"70208518 - 2020 - Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry","interactions":[],"lastModifiedDate":"2020-02-14T06:20:44","indexId":"70208518","displayToPublicDate":"2020-02-13T08:04:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry","docAbstract":"Avian influenza (AI) affects wild aquatic birds and poses hazards to human health, food security, and wildlife conservation globally. Accordingly, there is a recognized need for new methods and tools to help quantify the dynamic interaction between wild bird hosts and commercial poultry. Using satellite-marked waterfowl, we applied Bayesian joint hierarchical modeling to concurrently model species distributions, residency times, migration timing, and disease occurrence probability under an integrated animal movement and disease distribution modeling framework. Our results indicate that migratory waterfowl are positively related to AI occurrence over North America such that as waterfowl occurrence probability or residence time increase at a given location, so too does the chance of a commercial poultry AI outbreak. Analyses also suggest that AI occurrence probability is greatest during our observed waterfowl northward migration, and less during the southward migration. Methodologically, we found that when modeling disparate facets of disease systems at the wildlife-agriculture interface, it is essential that multiscale spatial patterns be addressed to avoid mistakenly inferring a disease process or disease-environment relationship from a pattern evaluated at the improper spatial scale. The study offers important insights into migratory waterfowl ecology and AI disease dynamics that aid in better preparing for future outbreaks.","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-59077-1","usgsCitation":"Humphreys, J.M., Ramey, A., Douglas, D., Mullinax, J.M., Soos, C., Link, P.T., Walther, P., and Prosser, D.J., 2020, Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry: Scientific Reports, v. 10, https://doi.org/10.1038/s41598-020-59077-1.","productDescription":"2595, 16 p.","startPage":"16","ipdsId":"IP-110829","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457734,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-59077-1","text":"Publisher Index Page"},{"id":437114,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HQV0A4","text":"USGS data release","linkHelpText":"Waterfowl occurrence and residence time as indicators of H5 and H7 avian in?uenza in North American Poultry"},{"id":372298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6171875,\n 8.754794702435618\n ],\n [\n -83.3203125,\n 16.636191878397664\n ],\n [\n -88.06640625,\n 16.804541076383455\n ],\n [\n -85.078125,\n 19.642587534013032\n ],\n [\n -88.9453125,\n 22.105998799750566\n ],\n [\n -91.7578125,\n 20.632784250388028\n ],\n [\n -96.6796875,\n 20.3034175184893\n ],\n [\n -96.328125,\n 27.527758206861886\n ],\n [\n -92.98828125,\n 28.14950321154457\n ],\n [\n -89.47265625,\n 28.76765910569123\n ],\n [\n -86.484375,\n 29.22889003019423\n ],\n [\n -81.9140625,\n 23.885837699862005\n ],\n [\n -79.27734374999999,\n 25.3241665257384\n ],\n [\n -79.62890625,\n 31.203404950917395\n ],\n [\n -75.05859375,\n 33.284619968887675\n ],\n [\n -73.47656249999999,\n 38.41055825094609\n ],\n [\n -69.60937499999999,\n 41.902277040963696\n ],\n [\n -64.3359375,\n 43.83452678223682\n ],\n [\n -58.71093750000001,\n 44.33956524809713\n ],\n [\n -53.0859375,\n 46.31658418182218\n ],\n [\n -53.78906249999999,\n 50.62507306341435\n ],\n [\n -55.1953125,\n 53.54030739150022\n ],\n [\n -60.46875,\n 58.53959476664049\n ],\n [\n -63.80859374999999,\n 60.930432202923335\n ],\n [\n -67.1484375,\n 61.438767493682825\n ],\n [\n -78.57421875,\n 65.80277639340238\n ],\n [\n -79.453125,\n 69.2249968541159\n ],\n [\n -84.72656249999999,\n 70.31873847853124\n ],\n [\n -93.8671875,\n 70.37785394109224\n ],\n [\n -103.88671875,\n 71.24435551310674\n ],\n [\n -105.99609375,\n 73.32785809840696\n ],\n [\n -112.1484375,\n 73.9710776393399\n ],\n [\n -119.35546875000001,\n 74.4021625984244\n ],\n [\n -124.27734374999999,\n 74.59010800882325\n ],\n [\n -128.32031249999997,\n 72.18180355624855\n ],\n [\n -139.921875,\n 70.78690984117928\n ],\n [\n -148.88671874999997,\n 70.72897946208789\n ],\n [\n -155.390625,\n 71.41317683396566\n ],\n [\n -160.6640625,\n 70.72897946208789\n ],\n [\n -166.81640625,\n 68.72044056989829\n ],\n [\n -166.81640625,\n 66.16051056018838\n ],\n [\n -165.9375,\n 60.930432202923335\n ],\n [\n -163.125,\n 58.44773280389084\n ],\n [\n -161.3671875,\n 55.57834467218206\n ],\n [\n -156.97265625,\n 56.46249048388979\n ],\n [\n -150.46875,\n 57.61010702068388\n ],\n [\n -144.84375,\n 60.50052541051131\n ],\n [\n -139.921875,\n 58.99531118795094\n ],\n [\n -135.703125,\n 53.014783245859235\n ],\n [\n -129.55078125,\n 49.26780455063753\n ],\n [\n -125.5078125,\n 44.96479793033101\n ],\n [\n -124.1015625,\n 38.41055825094609\n ],\n [\n -119.88281249999999,\n 30.751277776257812\n ],\n [\n -113.73046875,\n 24.367113562651262\n ],\n [\n -106.875,\n 19.31114335506464\n ],\n [\n -95.09765625,\n 15.623036831528264\n ],\n [\n -90.17578124999999,\n 12.382928338487396\n ],\n [\n -84.19921875,\n 8.928487062665504\n ],\n [\n -82.6171875,\n 8.754794702435618\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphreys, John M.","contributorId":217932,"corporation":false,"usgs":false,"family":"Humphreys","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":782256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andy 0000-0002-3601-8400","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":222481,"corporation":false,"usgs":true,"family":"Ramey","given":"Andy","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":782257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":782258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":782263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soos, Catherine","contributorId":177909,"corporation":false,"usgs":false,"family":"Soos","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":782260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Paul T.","contributorId":53611,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":782261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walther, Patrick","contributorId":213915,"corporation":false,"usgs":false,"family":"Walther","given":"Patrick","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":782255,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70223794,"text":"70223794 - 2020 - Quantifying harvestable fish and crustacean production and associated economic values provided by oyster reefs","interactions":[],"lastModifiedDate":"2021-09-08T12:48:28.21585","indexId":"70223794","displayToPublicDate":"2020-02-13T07:46:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying harvestable fish and crustacean production and associated economic values provided by oyster reefs","docAbstract":"Quantifying ecosystem services can provide information to justify conservation and restoration decisions so as to allocate limited resources effectively. Consequently, decision makers and public typically ask for simple and understandable information with confidence regarding the availability of the services and the probable economic value. Here, we compiled published information on density enhancement and species life-history information to quantify fish and crustacean production and its uncertainty associated with the current extent of oyster (Crassostrea virginica) reefs in Mobile Bay, Alabama. We applied Alabama fishing size limits as a cutoff to exclude the production of non-harvestable size individuals. Fishery landing (2005–2015) and Willingness-To-Pay information were used to quantify the economic benefit of the harvestable production enhancement (commercial and recreational production). Sixteen species were found to be production-enhanced in the bay with a mean of 354 ± 182 g m−2 year−1, of which 170 ± 112 g m−2 year−1 was economically quantifiable based on their harvestable production and landing information. The mean economic value was $509,000 year−1 in direct economic value for commercial fishers and $19.59 million year−1 estimated by the willingnesstopay value from recreational anglers. The results demonstrated a substantial positive economic benefit of ecosystem services from oyster reefs associated with fishery production in Mobile Bay, Alabama. The method could be applied elsewhere to estimate the economic return from the investment of conserving and restoring of similar structured habitats.
The surface trace tool comprises a Python script written for ArcGIS that will determine the line of intersection between a planar feature and a surface. Specifically, this tool was designed for geologic applications where geologic planar-feature orientations are reported as strike and dip, and the intersecting surface is the ground. The tool output will show how planar geologic layers intersect with topography.
Determining where geologic features crop out on the surface can be used to guide new geologic mapping as well as reviewing existing geologic mapping. This tool was developed to aid in more efficient mapping of an unknown area. These unknown areas may be missing data, either owing to a lack of suitable outcrops or being difficult to traverse, and data about the areas may be extrapolated using this tool and surrounding data to determine where planar features might appear on the ground.
Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
The North Branch Au Sable River, located in the northern lower peninsula of Michigan near Lovells, Michigan, has historically been known for its brook trout (Salvelinus fontinalis) and its status as a blue ribbon trout stream; however, within the past few decades, there has been a decline in fish population. The objectives of this study were to assess if concentrations of organic chemicals were present in quantities in the North Branch Au Sable River that may potentially harm aquatic species and to establish current baseline concentrations of organic chemicals against which future data can be compared. Passive sampling technology was used to collect information on the concentration, occurrence, transport, and fate of organic chemicals; these samplers absorb dissolved organic chemicals in the river over several weeks, as the timing and intensity of pesticide applications and the frequency of storm events and irrigation can cause fluctuations in organic chemical loading to surface waters. The chemical classes investigated as part of this study included pesticides (both legacy [organochlorine] and current use), polychlorinated biphenyls, polybrominated diphenyl ethers (PBDEs), and polycyclic aromatic hydrocarbons (PAHs).
Passive samplers, including semipermeable membrane devices and polar organic chemical integrative samplers, were deployed at four locations along the North Branch Au Sable River, near Lovells, Mich., in June 2018 for a total of 28 days. Several organic chemicals were detected in the North Branch Au Sable River at low concentrations. Organic chemicals were detected at every sampling location on the North Branch Au Sable River; however, not all chemicals were detected at every location. The highest number of organic chemicals were detected at the most downstream sampling site (North Branch Au Sable River at Kellogg's Bridge), and the lowest number of organic chemicals were detected at the next site upstream (North Branch Au Sable River at Twin Bridge Road). The organic contaminants most frequently detected at all sampling locations include the legacy pesticides pentachloroanisole, trans-chlordane, p,p'-dichlorodiphenyldichloroethylene, and p,p'-dichlorodiphenyltrichloroethane; the PBDE PBDE-28; and the PAHs 2-methylphenanthrene and perylene.
Organic chemical concentrations detected on the North Branch Au Sable River were below almost all water-quality benchmarks included in this report. However, low concentrations of organic chemicals may still pose a risk to aquatic organisms and throughout the trophic hierarchy because of low-dose additive and synergistic mixture effects, transgenerational effects, and a lack of established water-quality benchmarks for many organic chemicals. This report provides data on the current (2018) state of the North Branch Au Sable River and provided a baseline of organic contaminant data against which future data on the North Branch Au Sable River can be evaluated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205002","collaboration":"Prepared for the Mason-Griffith Founders Chapter of Trout Unlimited in cooperation with Lovells Township, Michigan","usgsCitation":"Brennan, A.K., and Alvarez, D.A., 2020, Evaluation of legacy and emerging organic chemicals using passive sampling devices on the North Branch Au Sable River near Lovells, Michigan, June 2018: U.S. Geological Survey Scientific Investigations Report 2020–5002, 21 p., https://doi.org/10.3133/sir20205002.","productDescription":"vi, 21 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-112993","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":399625,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109682.htm"},{"id":372284,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5002/sir20205002.pdf","text":"Report","size":"1.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5002"},{"id":372283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5002/coverthb.jpg"}],"country":"United States","state":"Michigan","county":"Crawford County","city":"Lovells","otherGeospatial":"North Branch Au Sable River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.6833,\n 45\n ],\n [\n -84.25,\n 45\n ],\n [\n -84.25,\n 44.65\n ],\n [\n -84.6833,\n 44.65\n ],\n [\n -84.6833,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
5840 Enterprise Drive
Lansing, MI 48911–4107
Cattail (Typha) is an iconic emergent wetland plant found worldwide. By producing an abundance of wind-dispersed seeds, cattail can colonize wetlands across great distances, and its rapid growth rate, large size, and aggressive expansion result in dense stands in a variety of aquatic ecosystems such as marshes, ponds, lakes, and riparian areas. Cattail can also quickly dominate disturbed areas with waterlogged soils such as roadside ditches, retention areas, and fringes of stormwater ponds. These dense stands impact local plant and animal life, biogeochemical cycling, and wetland hydrology, which in turn alter wetland functions. Over recent decades, the distribution and abundance of cattail in North America has increased as a result of human disturbances to natural water cycles and increased nutrient loads. In addition, highly competitive nonnative and hybrid taxa have worsened the rapid spread of cattail. Because cattail invasion and expansion often change wetlands in undesirable ways, wetland managers often respond with widespread management efforts, though these efforts may have short-lived or weak effects. Notwithstanding the negative impacts, cattail provides beneficial ecosystem services including the reduction of pollution through bioremediation and the production of biofuel material.
Despite the widespread distribution and invasive characteristics of cattail, a comprehensive review and synthesis of past and current research on cattail was lacking. To address this gap, a diverse team of researchers produced a paper that details the spread and management of cattail throughout North America, summarizing 4 decades of research from more than 650 references (Bansal and others, 2019). This fact sheet highlights the primary topics covered in the paper.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193076","usgsCitation":"Bansal, S., Tangen, B., Lishawa, S., Newman, S., and Wilcox, D., 2020, A review of Cattail (Typha) invasion in North American wetlands: U.S. Geological Survey Fact Sheet 2019-3076, 6 p., https://doi.org/10.3133/fs20193076.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-112132","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371754,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3076/coverthb.jpg"},{"id":372286,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3076/fs20193076.pdf","text":"Report","size":"15.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3076"}],"contact":"Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401-7317
Following the 2019 Ridgecrest, California, earthquake sequence, we compiled ground‐motion records from multiple data centers and processed these records using newly developed ground‐motion processing software that performs quality assurance checks, performs standard time series processing steps, and computes a wide range of ground‐motion metrics. In addition, we compute station and waveform metrics such as the time‐averaged shear‐wave velocity to 30 m depth (
Post-collisional potassic volcanic rocks on the Tibetan Plateau are widespread, but geologically young (<375 ka) volcanism suitable for 238U-230Th geochronology is rare on the plateau. The geologically young Ashikule volcanic field from northern Tibet offers an excellent opportunity for studying high-resolution timescales of magmatism in continental collision zones. Here we report U-Th crystallization ages of zircons from Ashishan volcano and Wulukeshan volcano within the Ashikule volcanic field. In this study, we have identified 3 pulses of zircon crystallization at circa 70 ka, 105 ka, and 290 ka for Ashishan volcanic rocks and 1 pulse of zircon crystallization at circa 115 ka for Wulukeshan. Comparison of high-resolution zircon crystallization ages of 70 ka and 105 ka with respective eruption ages indicate that the zircon crystal residence time for the Ashishan volcano is short (<5 kyr). The presence of 290-ka zircon in a different Ashishan lava flow suggests the 270-ka volcanic pulse previously reported for other volcanoes in Ashikule volcanic field also occurred at Ashishan. The zircon crystallization age of ~115 ka for Wulukeshan volcano suggests that Wulukeshan volcano erupted later than previously inferred. Similar zircon age spectrums of ~105–115 ka for Ashishan and Wulukeshan volcanoes suggest a common interconnected subsurface magma reservoir for these two young volcanoes during Pleistocene time. Our new high-resolution U-Th zircon age data reveal that post-collisional potassic magmas below northern Tibet erupted soon after their formation (<5 kyr), in spite of their passage through thick continental crust. The high abundance (~60%) of geologically old (>375 ka) zircons demands for crystal-scale isotope studies of the widespread post-collisional lavas in continental collision zones, as the complexities cannot be resolved by bulk analysis methods alone.
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.
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).
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 p.","startPage":"545","endPage":"560","ipdsId":"IP-112603","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":457757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-020-00970-5","text":"Publisher Index Page"},{"id":376784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","volume":"35","noUsgsAuthors":false,"publicationDate":"2020-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":794023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":794024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":794025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prentice, Karen L.","contributorId":184046,"corporation":false,"usgs":false,"family":"Prentice","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":794026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":213471,"corporation":false,"usgs":false,"family":"Aldridge","given":"Cameron L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":794027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":794028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":794030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cushman, Samuel A.","contributorId":209844,"corporation":false,"usgs":false,"family":"Cushman","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":38008,"text":"US Department of Agriculture Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":794031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeVivo, Joseph C.","contributorId":229707,"corporation":false,"usgs":false,"family":"DeVivo","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":794032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hathaway, Ryan S.","contributorId":229708,"corporation":false,"usgs":false,"family":"Hathaway","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":794034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nelson, Lisa","contributorId":229709,"corporation":false,"usgs":false,"family":"Nelson","given":"Lisa","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":794035,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schultz, Courtney A.","contributorId":204158,"corporation":false,"usgs":false,"family":"Schultz","given":"Courtney","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":794036,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":794037,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Trammell, E. Jamie 0000-0001-6389-5946","orcid":"https://orcid.org/0000-0001-6389-5946","contributorId":229710,"corporation":false,"usgs":false,"family":"Trammell","given":"E.","email":"","middleInitial":"Jamie","affiliations":[{"id":41707,"text":"Southern Oregon University","active":true,"usgs":false}],"preferred":false,"id":794038,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":794039,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70208316,"text":"pp1824I - 2020 - Geology and assessment of undiscovered oil and gas resources of the Sverdrup Basin Province, Arctic Canada, 2008","interactions":[{"subject":{"id":70208316,"text":"pp1824I - 2020 - Geology and assessment of undiscovered oil and gas resources of the Sverdrup Basin Province, Arctic Canada, 2008","indexId":"pp1824I","publicationYear":"2020","noYear":false,"chapter":"I","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Sverdrup Basin Province, Arctic Canada, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Sverdrup Basin Province, Arctic Canada, 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":"2024-06-26T14:17:30.038365","indexId":"pp1824I","displayToPublicDate":"2020-02-11T10:01:38","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":"I","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Sverdrup Basin Province, Arctic Canada, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Sverdrup Basin Province, Arctic Canada, 2008","docAbstract":"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
345 Middlefield Road
Menlo Park, CA 94025-3591
FAX 650-329-4936