{"pageNumber":"718","pageRowStart":"17925","pageSize":"25","recordCount":184553,"records":[{"id":70216391,"text":"70216391 - 2019 - Improved implementation of rupture location uncertainty in fault displacement hazard assessment","interactions":[],"lastModifiedDate":"2020-11-13T22:58:59.112024","indexId":"70216391","displayToPublicDate":"2019-07-16T16:58:45","publicationYear":"2019","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":"Improved implementation of rupture location uncertainty in fault displacement hazard assessment","docAbstract":"<p><span>This short note proposes an improvement to the implementation of uncertainty associated with rupture location from future earthquakes in probabilistic fault displacement hazard analysis. Location uncertainty leads to nonzero primary fault displacement near a mapped fault. With the improved implementation of location uncertainty, estimated fault displacement hazard at a given site is affected strongly by the dimension of the area considered (or the footprint size of the structure). A larger area near a mapped fault has greater potential of exhibiting primary fault displacement than does a smaller area at the same location. In addition, fault displacement hazard is affected by fault‐map quality and fault‐trace complexity. For a more accurately mapped fault with simpler geometry, larger fault displacement is expected directly over and in close proximity of the mapped fault. If fault location is highly uncertain and fault traces are complex, expected displacement is spread out in a wider zone along the mapped fault.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180305","usgsCitation":"Chen, R., and Petersen, M.D., 2019, Improved implementation of rupture location uncertainty in fault displacement hazard assessment: Bulletin of the Seismological Society of America, v. 109, no. 5, p. 2132-2137, https://doi.org/10.1785/0120180305.","productDescription":"6 p.","startPage":"2132","endPage":"2137","ipdsId":"IP-106912","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":380522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":804884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":804885,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204288,"text":"70204288 - 2019 - Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen Ice Shelf calving event and iceberg formation","interactions":[],"lastModifiedDate":"2019-12-22T14:32:42","indexId":"70204288","displayToPublicDate":"2019-07-16T14:04:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen Ice Shelf calving event and iceberg formation","docAbstract":"On 7 April 2016, the Nansen Ice Shelf (NIS) front calved into two icebergs, the first large-scale calving event in >30 years. Three hydrophone moorings were deployed seaward of the NIS in December 2015 and over the following months recorded hundreds of short duration, broadband (10-400 Hz) cryogenic signals, likely caused by fracturing of the ice-shelf. The majority of these icequakes occur between January and early March 2016, several weeks prior to the calving observed by satellite on 7 April. Barometric pressure and wind speed records show the day the icebergs drifted from the NIS coincided with the largest low-pressure storm system recorded in the previous 7 months. A nearby seismic station also shows an increase in low-frequency energy, harmonic tremor, and microseisms on 7 April. Our interpretation is the northern segment of the NIS leading edge broke free during mid-January to February, producing high acoustic energy, but the icebergs remained stationary until the combination of a strong low-pressure system, with high winds freed the icebergs. As the unpinning of Antarctic ice shelves is not a well-documented process, our observations show that storm systems may play an under-appreciated role in Antarctic ice shelf break-up.","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2019.00183","usgsCitation":"Dziak, R., Lee, W.S., Haxel, J., Matsumoto, H., Tepp, G., Lau, T., Roche, L., Yun, S., Lee, C.K., Lee, J.Y., and Yoon, S., 2019, Hydroacoustic, meteorologic and seismic observations of the 2016 Nansen Ice Shelf calving event and iceberg formation: Frontiers in Earth Science, v. 7, 183, 12p., https://doi.org/10.3389/feart.2019.00183.","productDescription":"183, 12p.","ipdsId":"IP-101623","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00183","text":"Publisher Index Page"},{"id":365680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Nansen Ice Shelf","volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Dziak, Robert","contributorId":217088,"corporation":false,"usgs":false,"family":"Dziak","given":"Robert","affiliations":[{"id":39567,"text":"NOAA/PMEL","active":true,"usgs":false}],"preferred":false,"id":766313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, W. S.","contributorId":217089,"corporation":false,"usgs":false,"family":"Lee","given":"W.","email":"","middleInitial":"S.","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":766314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haxel, Joe","contributorId":217090,"corporation":false,"usgs":false,"family":"Haxel","given":"Joe","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matsumoto, Haru","contributorId":217091,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Haru","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tepp, Gabrielle 0000-0001-5388-5138","orcid":"https://orcid.org/0000-0001-5388-5138","contributorId":206305,"corporation":false,"usgs":true,"family":"Tepp","given":"Gabrielle","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":766312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lau, T-K","contributorId":217092,"corporation":false,"usgs":false,"family":"Lau","given":"T-K","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roche, Lauren","contributorId":217093,"corporation":false,"usgs":false,"family":"Roche","given":"Lauren","email":"","affiliations":[{"id":39568,"text":"Oregon State University/CIMRS","active":true,"usgs":false}],"preferred":false,"id":766318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yun, S H","contributorId":131062,"corporation":false,"usgs":false,"family":"Yun","given":"S H","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":766319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, C. K.","contributorId":217094,"corporation":false,"usgs":false,"family":"Lee","given":"C.","email":"","middleInitial":"K.","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":766320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lee, J. Y.","contributorId":195962,"corporation":false,"usgs":false,"family":"Lee","given":"J.","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":766321,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yoon, S.T.","contributorId":217095,"corporation":false,"usgs":false,"family":"Yoon","given":"S.T.","email":"","affiliations":[{"id":39310,"text":"Korea Polar Research Institute","active":true,"usgs":false}],"preferred":false,"id":766322,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70205794,"text":"70205794 - 2019 - Northern forest winters have lost cold, snowy conditions that are important for ecosystems and human communities","interactions":[],"lastModifiedDate":"2022-10-31T14:25:59.788884","indexId":"70205794","displayToPublicDate":"2019-07-16T13:40:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Northern forest winters have lost cold, snowy conditions that are important for ecosystems and human communities","docAbstract":"Winter is an understudied but key period for the socio-ecological systems of northeastern North American forests. A growing awareness of the importance of the winter season to forest ecosystems and surrounding communities has inspired several decades of research, both across the northern forest and at other mid- and high-latitude ecosystems around the globe. Despite these efforts, we lack a synthetic understanding of how winter climate change may impact hydrological and biogeochemical processes and the social and economic activities they support. Here we take advantage of 100 years of meteorological observations across the northern forest region of the northeastern U.S. and eastern Canada to develop a suite of indicators that enable a cross-cutting understanding of\n1) how winter temperatures and snow cover have been changing and 2) how these shifts may impact both ecosystems and surrounding human communities. We show that cold and snow-covered conditions have generally decreased over the past 100 years. These trends suggest positive outcomes for tree health as related to reduced fine root mortality and nutrient loss associated with winter frost but negative outcomes as related to the northward advancement and proliferation of forest insect pests. In addition to effects on vegetation, reductions in cold temperatures and snow cover are likely to have negative impacts on the ecology of the northern forest through impacts on water, soils, and wildlife. The overall loss of coldness and snow cover may also have negative consequences for logging and forest products, vector-borne diseases and human health, recreation and tourism, and cultural practices, which together represent important social and economic dimensions for the northern forest region. These findings advance our understanding of how our changing winters may transform the socio- ecological system of a region that has been defined by the contrasting rhythm of the seasons. Our research also identifies a trajectory of change that informs our expectations for the future as the climate continues to warm.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1974","usgsCitation":"Contosta, A.R., Casson, N.J., Garlick, S., Nelson, S.J., Ayers, M.P., Buralkowski, E.A., Campbell, J., Creed, I., Eimers, C., Evans, C., Fernandez, I., Fuss, C., Huntington, T., Pate, K., Sanders-DeMott, R., Son, K., Templer, P.H., and Thornbrugh, D., 2019, Northern forest winters have lost cold, snowy conditions that are important for ecosystems and human communities: Ecological Applications, v. 29, no. 7, e01974, 24 p., https://doi.org/10.1002/eap.1974.","productDescription":"e01974, 24 p.","ipdsId":"IP-103560","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":467450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1974","text":"Publisher Index Page"},{"id":367976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.9246582763626,\n              38.85665265717833\n            ],\n            [\n              -86.56536526306337,\n              39.204718710688155\n            ],\n            [\n              -86.45199473621666,\n              38.06923253782381\n            ],\n            [\n              -86.06304470116481,\n              37.79405486128432\n            ],\n            [\n              -85.26985930938031,\n              38.514093605521566\n            ],\n            [\n              -84.61184093586279,\n              38.66733211923713\n            ],\n            [\n              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Catharine","contributorId":219489,"corporation":false,"usgs":false,"family":"Eimers","given":"Catharine","email":"","affiliations":[{"id":40014,"text":"School of the Environment, Trent University","active":true,"usgs":false}],"preferred":false,"id":772369,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Evans, Celia","contributorId":219490,"corporation":false,"usgs":false,"family":"Evans","given":"Celia","email":"","affiliations":[{"id":40015,"text":"Department of Natural Science, Paul Smith’s College","active":true,"usgs":false}],"preferred":false,"id":772370,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fernandez, Ivan","contributorId":178215,"corporation":false,"usgs":false,"family":"Fernandez","given":"Ivan","affiliations":[],"preferred":false,"id":772371,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fuss, Collin","contributorId":219491,"corporation":false,"usgs":false,"family":"Fuss","given":"Collin","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":772372,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Huntington, Thomas G. 0000-0002-9427-3530","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":218737,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas G.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772360,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pate, Kaizad","contributorId":219492,"corporation":false,"usgs":false,"family":"Pate","given":"Kaizad","email":"","affiliations":[{"id":40016,"text":"Ecology and Environmental Science, University of Maine","active":true,"usgs":false}],"preferred":false,"id":772373,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sanders-DeMott, Rebecca","contributorId":219493,"corporation":false,"usgs":false,"family":"Sanders-DeMott","given":"Rebecca","affiliations":[{"id":40012,"text":"Earth Systems Research Center, University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":772374,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Son, Kyongo","contributorId":219494,"corporation":false,"usgs":false,"family":"Son","given":"Kyongo","email":"","affiliations":[{"id":40017,"text":"Research Foundation of the City University of New York","active":true,"usgs":false}],"preferred":false,"id":772375,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Templer, Pamela H.","contributorId":167457,"corporation":false,"usgs":false,"family":"Templer","given":"Pamela","email":"","middleInitial":"H.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":772376,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Thornbrugh, Darren","contributorId":184193,"corporation":false,"usgs":false,"family":"Thornbrugh","given":"Darren","email":"","affiliations":[],"preferred":false,"id":772377,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70204992,"text":"70204992 - 2019 - Intensity and impact of the New York Railroad superstorm of May 1921","interactions":[],"lastModifiedDate":"2019-09-16T12:40:57","indexId":"70204992","displayToPublicDate":"2019-07-16T12:17:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Intensity and impact of the New York Railroad superstorm of May 1921","docAbstract":"<p><span>Analysis is made of low‐latitude ground‐based magnetometer data recording the magnetic superstorm of May 1921. By inference, the storm was driven by a series of interplanetary coronal mass ejections, one of which produced a maximum pressure on the magnetopause of ~64.5 nPa, sufficient to compress the subsolar magnetopause radius to ~5.3 Earth radii. Over the course of the storm, low‐latitude geomagnetic disturbance exhibited extreme local time (longitude) asymmetry that can be attributed to substorm disturbance extending to low latitudes. The storm attained an estimated maximum −</span><i>Dst</i><span>&nbsp;on 15 May of 907 ± 132 nT, an intensity comparable to that of the Carrington event of 1859. The May 1921 storm brought spectacular aurorae to the nighttime sky. It also interfered with and damaged telephone and telegraph systems associated with railroad systems in New York City and State. These later effects were due to a combination of three factors: the localized details of geomagnetic vector disturbance, the geographic expression of the Earth's surface impedance tensor, and the configurations and physical parameters of the electrical networks of the day.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2019SW002250","usgsCitation":"Love, J.J., Hayakawa, H., and Cliver, E.W., 2019, Intensity and impact of the New York Railroad superstorm of May 1921: Space Weather, v. 17, no. 8, p. 1281-1292, https://doi.org/10.1029/2019SW002250.","productDescription":"12 p.","startPage":"1281","endPage":"1292","ipdsId":"IP-109181","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":460329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019sw002250","text":"Publisher Index 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Campus","active":true,"usgs":false}],"preferred":false,"id":769478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cliver, Edward W.","contributorId":215232,"corporation":false,"usgs":false,"family":"Cliver","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":39212,"text":"National Solar Observatory","active":true,"usgs":false}],"preferred":false,"id":769479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204580,"text":"70204580 - 2019 - The Aleutian Low – Beaufort Sea Anticyclone: A climate index for predicting the timing of springtime melt in the Pacific Arctic cryosphere","interactions":[],"lastModifiedDate":"2019-08-07T09:00:42","indexId":"70204580","displayToPublicDate":"2019-07-16T12:10:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The Aleutian Low – Beaufort Sea Anticyclone: A climate index for predicting the timing of springtime melt in the Pacific Arctic cryosphere","docAbstract":"Early and late extremes in the timing of snowmelt have recently been observed in the Pacific Arctic. Subseasonal-to-seasonal forecasts of this timing are important for industry, environmental management and Arctic communities. In northern Alaska, the timing is influenced by the advection of marine air from the north Pacific by the Aleutian Low, modulated by high pressure centered in the Beaufort Sea. A new climate index that integrates their interaction could advance melt predictions. We define this index based on 850 hPa geopotential height at four fixed locations referred to as the Aleutian Low –Beaufort Sea Anticyclone (ALBSA). During positive ALBSA in May, advection of +0.5-1.5 K/day is observed through the Bering Strait. ALBSA is correlated with both snowmelt in northern Alaska and the onset of sea ice melt over the adjacent seas. ALBSA, therefore, may be suitable for monitoring the relevant circulation patterns and for developing predictive tools.","language":"English","publisher":"AGU","doi":"10.1029/2019GL083306","usgsCitation":"Cox, C.J., Stone, R.S., Douglas, D., Stanitski, D., and Gallagher, M., 2019, The Aleutian Low – Beaufort Sea Anticyclone: A climate index for predicting the timing of springtime melt in the Pacific Arctic cryosphere: Geophysical Research Letters, v. 46, no. 13, p. 7464-7473, https://doi.org/10.1029/2019GL083306.","productDescription":"10 p.","startPage":"7464","endPage":"7473","ipdsId":"IP-101278","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":467451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083306","text":"Publisher Index Page"},{"id":366304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cox, Christopher J.","contributorId":199259,"corporation":false,"usgs":false,"family":"Cox","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":767624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Robert S.","contributorId":199260,"corporation":false,"usgs":false,"family":"Stone","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":767625,"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":767623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanitski, Diane","contributorId":199261,"corporation":false,"usgs":false,"family":"Stanitski","given":"Diane","email":"","affiliations":[],"preferred":false,"id":767626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallagher, Michael","contributorId":217833,"corporation":false,"usgs":false,"family":"Gallagher","given":"Michael","email":"","affiliations":[{"id":39697,"text":"Cooperative Institute for Research in Environmental Sciences, NOAA Physical Sciences Division, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":767627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206023,"text":"70206023 - 2019 - Geographic context affects the landscape change and fragmentation caused by wind energy facilities","interactions":[],"lastModifiedDate":"2020-01-20T12:11:36","indexId":"70206023","displayToPublicDate":"2019-07-16T11:31:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Geographic context affects the landscape change and fragmentation caused by wind energy facilities","docAbstract":"Wind energy generation causes transformation of landscapes as new roads, pads, and transmission lines are constructed. Limiting the landscape change and fragmentation caused by these facilities likely minimizes impacts to biodiversity and sensitive wildlife species. We examined the effects of wind energy facilities’ geographic context on changes in landscape patterns. We digitized the footprints of 39 wind facilities and the surrounding land cover using high-resolution imagery. We then measured landscape pattern before and after facility construction using 3 metrics associated with species responses to habitat loss and fragmentation (amount, core area, and connectivity of undeveloped land) within 1km around newly constructed turbines and roads. New facilities decreased the amount of undeveloped land, on average, by just 1.8% while changes in metrics of landscape pattern were relatively much larger (50 to 140%). Statistical models indicated levels of pre-construction development were a key factor explaining the impact of new wind facilities on landscape metrics, with pre-construction road networks, turbine spacing, and topography having smaller influences. As the proportion of developed land around facilities increased, a higher proportion of the facility utilized pre-construction developed land and a lower density of new roads were built, resulting in smaller impacts to undeveloped landscapes. Building of new road networks was also a predictor of landscape fragmentation. Density of new roads was higher in places with little pre-existing development and may be influenced by facility design. Utilizing existing development and carefully placing turbines may provide opportunities to minimize the impacts of new wind energy facilities.","language":"English","doi":"10.7717/peerj.7129","collaboration":"None","usgsCitation":"Diffendorfer, J., Dorning, M., Keen, J., Kramer, L., and Taylor, R., 2019, Geographic context affects the landscape change and fragmentation caused by wind energy facilities: PeerJ, v. 7, e7129, 23p., https://doi.org/10.7717/peerj.7129.","productDescription":"e7129, 23p.","ipdsId":"IP-092054","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467452,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.7129","text":"Publisher Index Page"},{"id":437385,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7639NZB","text":"USGS data release","linkHelpText":"Data release for Geographic context affects the 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]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keen, Jolene 0000-0003-4962-6613","orcid":"https://orcid.org/0000-0003-4962-6613","contributorId":219835,"corporation":false,"usgs":false,"family":"Keen","given":"Jolene","email":"","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":773322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Louisa 0000-0002-6776-9768","orcid":"https://orcid.org/0000-0002-6776-9768","contributorId":204878,"corporation":false,"usgs":true,"family":"Kramer","given":"Louisa","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Robert 0000-0001-5137-6874","orcid":"https://orcid.org/0000-0001-5137-6874","contributorId":219836,"corporation":false,"usgs":true,"family":"Taylor","given":"Robert","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":773324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204748,"text":"70204748 - 2019 - Individual behaviour and resource use of thermally stressed brook trout Salvelinus fontinalis portend the conservation potential of thermal refugia","interactions":[],"lastModifiedDate":"2019-10-28T10:09:54","indexId":"70204748","displayToPublicDate":"2019-07-16T10:17:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Individual behaviour and resource use of thermally stressed brook trout <i>Salvelinus fontinalis</i> portend the conservation potential of thermal refugia","title":"Individual behaviour and resource use of thermally stressed brook trout Salvelinus fontinalis portend the conservation potential of thermal refugia","docAbstract":"<p><span>Individual aggression and thermal refuge use were monitored in brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in a controlled laboratory to determine how fish size and personality influence time spent in forage and thermal habitat patches during periods of thermal stress. On average, larger and more exploratory fish initiated more aggressive interactions and across all fish there was decreased aggression at warmer temperatures. Individual personality did not explain changes in aggression or habitat use with increased temperature; however, larger individuals initiated comparatively fewer aggressive interactions at warmer temperatures. Occupancy of forage patches generally declined as ambient stream temperatures approached critical maximum and fish increased thermal refuge use, with a steeper decline in forage patch occupancy observed in larger fish. These findings suggest that larger individuals may be more vulnerable to stream temperature rise. Importantly, even at thermally stressful temperatures, all fish periodically left the thermal refuge to forage. This indicates that the success of refugia at increasing population survival during periods of stream temperature rise may depend on the location of thermal refugia relative to forage locations within the larger habitat mosaic. These results provide insights into the potential for thermal refugia to improve population survival and can be used to inform predictions of population vulnerability to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.14099","usgsCitation":"White, S.L., Kline, B., Hitt, N., and Wagner, T., 2019, Individual behaviour and resource use of thermally stressed brook trout Salvelinus fontinalis portend the conservation potential of thermal refugia: Journal of Fish Biology, v. 95, no. 4, p. 1061-1071, https://doi.org/10.1111/jfb.14099.","productDescription":"11 p.","startPage":"1061","endPage":"1071","ipdsId":"IP-103472","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.14099","text":"Publisher Index Page"},{"id":366562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L.","contributorId":205430,"corporation":false,"usgs":false,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kline, B.C.","contributorId":218090,"corporation":false,"usgs":false,"family":"Kline","given":"B.C.","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":768296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":218089,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":768294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":218091,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":768297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203977,"text":"ofr20191077 - 2019 - Triangle area water supply monitoring project, North Carolina-Summary of monitoring activities, quality assurance, and data, October 2015–September 2017","interactions":[],"lastModifiedDate":"2019-07-17T11:27:46","indexId":"ofr20191077","displayToPublicDate":"2019-07-16T09:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1077","displayTitle":"Triangle Area Water Supply Monitoring Project, North Carolina—Summary of Monitoring Activities, Quality Assurance, and Data, October 2015–September 2017","title":"Triangle area water supply monitoring project, North Carolina-Summary of monitoring activities, quality assurance, and data, October 2015–September 2017","docAbstract":"<p>Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in several of the area’s water-supply lakes and streams. This report summarizes data collected through this cooperative effort, known as the Triangle Area Water Supply Monitoring Project, during October 2015 through September 2016 (water year 2016) and October 2016 through September 2017 (water year 2017). Major findings for this period include the following:</p><ul><li>More than 5,000 individual measurements of water quality were made at a total of 20 sites—7 in the Neuse River Basin and 13 in the Cape Fear River Basin. Only the measurements from the photic zone and 1 meter below the water surface are documented in this report.</li><li>Twenty-nine water-quality properties or constituents are presented in this report; State water-quality thresholds exist for 11 of these.</li><li>All observations met State water-quality thresholds for hardness, chloride, fluoride, sulfate, and nitrate plus nitrite.</li><li>North Carolina water-quality thresholds were exceeded one or more times for dissolved oxygen, dissolved-oxygen percent saturation, pH, water temperature, turbidity, and chlorophyll <i>a</i>.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191077","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"Pfeifle, C.A., Cain, J.L., and Rasmussen, R.B., 2019, Triangle Area Water Supply Monitoring Project, North Carolina—Summary of monitoring activities, quality assurance, and data, October 2015–September 2017: U.S. Geological Survey Open-File Report 2019–1077, 16 p., https://doi.org/10.3133/ofr20191077.","productDescription":"Report: iv, 16 p.; Table; Data Relase","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092956","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":365534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1077/ofr20191077.pdf","text":"Report","size":"2.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1077"},{"id":365532,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71Z43MD","text":"USGS data release","description":"USGS data release","linkHelpText":"Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2015–September 2017"},{"id":365535,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2019/1077/ofr20191077_table5.xlsx","text":"Table 5","size":"58 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Summary of water-quality results for sampled sites in the Triangle Area Water Supply Monitoring Project, October 2015–September 2017"},{"id":365533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1077/coverthb.jpg"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>720 Gracern Road<br>Stephenson Center, Suite 129<br>Columbia, SC 29210</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Monitoring Network</li><li>Quality Assurance</li><li>Streamflow</li><li>Water Quality</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-07-16","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pfeifle, Cassandra A. 0000-0001-5002-1625 cmendoza@usgs.gov","orcid":"https://orcid.org/0000-0001-5002-1625","contributorId":198960,"corporation":false,"usgs":true,"family":"Pfeifle","given":"Cassandra","email":"cmendoza@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, Jessica L. 0000-0002-0563-8586 jcain@usgs.gov","orcid":"https://orcid.org/0000-0002-0563-8586","contributorId":198959,"corporation":false,"usgs":true,"family":"Cain","given":"Jessica","email":"jcain@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, Ryan B. 0000-0003-3059-5511 rbrasmus@usgs.gov","orcid":"https://orcid.org/0000-0003-3059-5511","contributorId":198961,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Ryan","email":"rbrasmus@usgs.gov","middleInitial":"B.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204535,"text":"70204535 - 2019 - Application of multiple-population viability analysis to evaluate species recovery alternatives","interactions":[],"lastModifiedDate":"2020-04-06T20:57:23.05112","indexId":"70204535","displayToPublicDate":"2019-07-16T07:30:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Application of multiple-population viability analysis to evaluate species recovery alternatives","docAbstract":"Population viability analysis (PVA) is a powerful conservation tool, but one that remains unapproachable for many species.  This is particularly true for species with multiple, broadly-distributed populations for which collecting suitable data can be challenging.  A recently-developed method of multiple population viability analysis (MPVA), however, addresses many limitations of traditional PVA.  We build on previous development of MPVA for Lahontan cutthroat trout (LCT), a species listed under the US Endangered Species Act which is distributed broadly across habitat fragments in the Great Basin, USA.  We simulated potential management scenarios and assessed their effects on population sizes and extinction risks in 211 streams where LCT exist or may be reintroduced.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13385","usgsCitation":"Neville, H.M., Leasure, D.R., Dauwalter, D.C., Dunham, J.B., Bjork, R., Fesenmyer, K.A., Chelgren, N., Peacock, M.M., Luce, C.H., Isaak, D.J., Carranza, L.A., Sjoberg, J., and Wenger, S., 2019, Application of multiple-population viability analysis to evaluate species recovery alternatives: Conservation Biology, v. 34, no. 2, p. 482-493, https://doi.org/10.1111/cobi.13385.","productDescription":"12 p.","startPage":"482","endPage":"493","ipdsId":"IP-102725","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Neville, Helen M.","contributorId":214338,"corporation":false,"usgs":false,"family":"Neville","given":"Helen","email":"","middleInitial":"M.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dauwalter, Daniel C.","contributorId":214339,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":767438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjork, Robin","contributorId":214340,"corporation":false,"usgs":false,"family":"Bjork","given":"Robin","email":"","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fesenmyer, Kurt A.","contributorId":214341,"corporation":false,"usgs":false,"family":"Fesenmyer","given":"Kurt","email":"","middleInitial":"A.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":767440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":767441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peacock, Mary M.","contributorId":167605,"corporation":false,"usgs":false,"family":"Peacock","given":"Mary","email":"","middleInitial":"M.","affiliations":[{"id":24774,"text":"Department of Natural Resources, College of Agriculture and Life","active":true,"usgs":false}],"preferred":false,"id":767442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luce, Charles H.","contributorId":177837,"corporation":false,"usgs":false,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":767443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":767444,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carranza, Lee Ann","contributorId":217753,"corporation":false,"usgs":false,"family":"Carranza","given":"Lee","email":"","middleInitial":"Ann","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":767445,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sjoberg, Jon","contributorId":217754,"corporation":false,"usgs":false,"family":"Sjoberg","given":"Jon","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":767446,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":767447,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70248318,"text":"70248318 - 2019 - Influences of potential oil and gas development and future climate on Sage-grouse declines and redistribution","interactions":[],"lastModifiedDate":"2024-05-16T15:31:39.363715","indexId":"70248318","displayToPublicDate":"2019-07-16T06:52:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Influences of potential oil and gas development and future climate on Sage-grouse declines and redistribution","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Multiple environmental stressors impact wildlife populations, but we often know little about their cumulative and combined influences on population outcomes. We generally know more about past effects than potential future impacts, and direct influences such as changes of habitat footprints than indirect, long-term responses in behavior, distribution, or abundance. Yet, an understanding of all these components is needed to plan for future landscapes that include human activities and wildlife. We developed a case study to assess how spatially explicit individual-based modeling could be used to evaluate future population outcomes of gradual landscape change from multiple stressors. For Greater Sage-grouse in southwest Wyoming, USA, we projected oil and gas development footprints and climate-induced vegetation changes 50 years into the future. Using a time-series of planned oil and gas development and predicted climate-induced changes in vegetation, we recalculated habitat selection maps to dynamically modify future habitat quantity, quality, and configuration. We simulated long-term Sage-grouse responses to habitat change by allowing individuals to adjust to shifts in habitat availability and quality. The use of spatially explicit individual-based modeling offered a useful means of evaluating delayed indirect impacts of landscape change on wildlife population outcomes. The inclusion of movement and demographic responses to oil and gas infrastructure resulted in substantive changes in distribution and abundance when cumulated over several decades and throughout the regional population. When combined, additive development and climate-induced vegetation changes reduced abundance by up to half of the original size. In our example, the consideration of only a single population stressor the final possible population size by as much as 50%. Multiple stressors and their cumulative impacts need to be broadly considered through space and time to avoid underestimating the impacts of multiple gradual changes and overestimating the ability of populations to withstand change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/eap.1912","usgsCitation":"Heinrichs, J.A., O’Donnell, M.S., Aldridge, C.L., Garman, S.L., and Homer, C.G., 2019, Influences of potential oil and gas development and future climate on Sage-grouse declines and redistribution: Ecological Applications, v. 29, no. 6, e01912, 16 p., https://doi.org/10.1002/eap.1912.","productDescription":"e01912, 16 p.","ipdsId":"IP-101540","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437386,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GRF34E","text":"USGS data release","linkHelpText":"Influences of Potential Oil and Gas Development and Future Climate on Sage-Grouse Declines and Redistribution"},{"id":420612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.19262705318685,\n              43.34205527106326\n            ],\n            [\n              -111.19262705318685,\n              40.99843719341089\n            ],\n            [\n              -106.18500996030774,\n              40.99843719341089\n            ],\n            [\n              -106.18500996030774,\n              43.34205527106326\n            ],\n            [\n              -111.19262705318685,\n              43.34205527106326\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":882536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":882537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":882538,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204498,"text":"70204498 - 2019 - Spatial capture-recapture reveals age- and sex-specific survival and movement in stream amphibians","interactions":[],"lastModifiedDate":"2019-08-29T11:58:54","indexId":"70204498","displayToPublicDate":"2019-07-15T15:17:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Spatial capture-recapture reveals age- and sex-specific survival and movement in stream amphibians","docAbstract":"Life history information sets the foundation for our understanding of ecology and conservation requirements. For many species, this information is lacking even for basic demographic rates such as survival and movement. When survival and movement estimates are available, they are often derived from mixed demographic groups and do not consider differences among life stages or sexes, which is critical because life stages and sexes often contribute differentially to population dynamics. We used hierarchical models informed with spatial capture-mark-recapture data of Ascaphus montanus (Rocky Mountain tailed frog) in 5 streams and A. truei (coastal tailed frog) in 1 stream to estimate variation in survival and movement by sex and age, represented by size. By incorporating survival and movement into a single model, we were able to estimate both parameters with limited bias. Annual survival was similar between sexes of A. montanus (females = 0.885 [95% CI: 0.614–1], males = 0.901 [0.657–1]), but was slightly higher for female A. truei (0.836 [0.560–0.993]) than for males (0.664 [0.354–0.962]). Survival of A. montanus peaked at mid-age, suggesting that lower survival of young and actuarial senescence may influence population demographics. Our models suggest that younger A. montanus moved farther than older individuals, and that females moved farther than males in both species. Our results provide uncommon insight into age- and sex-specific rates of survival and movement that are crucial elements of life-history strategies and are important for modeling population growth and prescribing conservation actions.","language":"English","publisher":"Springer","doi":"10.1007/s00442-019-04464-3","usgsCitation":"Honeycutt, R.K., Garwood, J.M., Lowe, W.H., and Hossack, B.R., 2019, Spatial capture-recapture reveals age- and sex-specific survival and movement in stream amphibians: Oecologia, v. 190, no. 4, p. 821-833, https://doi.org/10.1007/s00442-019-04464-3.","productDescription":"13 p.","startPage":"821","endPage":"833","ipdsId":"IP-086212","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":366004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366002,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/content/pdf/10.1007%2Fs00442-019-04464-3.pdf"}],"volume":"190","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":767262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garwood, Justin M","contributorId":217674,"corporation":false,"usgs":false,"family":"Garwood","given":"Justin","email":"","middleInitial":"M","affiliations":[{"id":39681,"text":"California Dept fish wildlife","active":true,"usgs":false}],"preferred":false,"id":767263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":767264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767265,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204307,"text":"70204307 - 2019 - Biocrust science and global change","interactions":[],"lastModifiedDate":"2019-07-17T14:31:43","indexId":"70204307","displayToPublicDate":"2019-07-15T14:30:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Biocrust science and global change","docAbstract":"Global environmental changes such as climate and land‐use change affect ecosystems worldwide, and this New Phytologist Virtual Issue brings together fundamental research questions and novel approaches associated with the study of biological soil crusts in the context of such shifts. In a changing world, organisms can display a limited set of responses that will determine their persistence over varied spatial and temporal scales. Specifically, organisms might tolerate the change – for example, via phenotypic plasticity – and remain present in local communities. Alternatively, organisms might shift or retract their range to match their historical niche, they may adapt to the directional selection pressures imposed by change, or they could be driven to local (and possibly global) extinction. Efforts to understand which of these responses particular plant species or assemblages will exhibit are necessary for predicting changes in ecosystem functioning and trophic interactions under global change scenarios, and for managing and supporting sustainable terrestrial ecosystems. Accordingly, the assessment of plant responses to global change has become a significant research focus. Despite this impressive effort, our understanding and combined work to measure the responses to global change for species and communities of nonvascular autotrophs, such as the cyanobacteria, lichens, and bryophytes that form biological soil crusts (Fig. 1), remain rare compared with the large focus on vascular plants (Fig. 2; Reed et al., 2016). Nevertheless, these nonvascular photosynthetic communities and their responses to change could have critical implications for determining ecosystem structure and function at the global‐scale (Elbert et al., 2012; Ferrenberg et al., 2017; Rodriguez‐Caballero et al., 2018).","language":"English","publisher":"Wiley, New Phytologist Trust","doi":"10.1111/nph.15992","usgsCitation":"Reed, S.C., Delgado-Baquerizo, M., and Ferrenberg, S., 2019, Biocrust science and global change: New Phytologist, v. 223, no. 3, p. 1047-1051, https://doi.org/10.1111/nph.15992.","productDescription":"5 p.","startPage":"1047","endPage":"1051","ipdsId":"IP-108591","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.15992","text":"Publisher Index Page"},{"id":365682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":766331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delgado-Baquerizo, Manuel","contributorId":214645,"corporation":false,"usgs":false,"family":"Delgado-Baquerizo","given":"Manuel","email":"","affiliations":[{"id":39101,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":766332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrenberg, Scott","contributorId":217143,"corporation":false,"usgs":false,"family":"Ferrenberg","given":"Scott","affiliations":[{"id":39569,"text":"Department of Biology, New Mexico State University, Las Cruces, NM 88001, USA","active":true,"usgs":false}],"preferred":false,"id":766333,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204134,"text":"fs20193002 - 2019 - Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018","interactions":[],"lastModifiedDate":"2019-07-16T09:12:25","indexId":"fs20193002","displayToPublicDate":"2019-07-15T13:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3002","displayTitle":"Assessment of Continuous Oil Resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018","title":"Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018","docAbstract":"<p>The U.S. Geological Survey (USGS) quantitatively assessed the&nbsp;potential for undiscovered, technically recoverable continuous oil and gas&nbsp;resources in the Eastern Great Basin Province (Anna and others, 2007) of&nbsp;Nevada, Utah, and Idaho (fig. 1). The assessment focused on the area of&nbsp;the province between the Roberts Mountains and Sevier thrust systems&nbsp;(Peterson, 1994). The major petroleum source rocks within this area are the&nbsp;Upper Devonian–Lower Mississippian Pilot Shale and the Mississippian&nbsp;Chainman Formation (Gutschick and Rodriquez, 1979; Poole and Claypool,&nbsp;1984; Giles, 1994; Trexler and others, 1995). The geologic model applied&nbsp;to the Pilot Shale and shales in the Chainman Formation is for these shales&nbsp;to have achieved generative maturity for oil by burial to at least 8,700 feet&nbsp;(2,652 meters) within some of the Neogene extensional basins (Grabb, 1994;&nbsp;Anna and others, 2007). Areas that satisfy this depth requirement were&nbsp;defined using modeled gravity data that were calibrated to the petroleum&nbsp;system in Railroad Valley and Pine Valley in Nevada (Barker and Peterson,&nbsp;1991; Ïnan and Davis, 1994; Meissner, 1995; Anna and others, 2007).&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193002","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Gaswirth, S.B., Marra, K.R., Le, P.A., Brownfield, M.E., Leathers-Miller, H.M., Drake, R.M., II, and Kinney, S.A., 2019, Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018: U.S. Geological Survey Fact Sheet 2019–3002, 2 p., https://doi.org/10.3133/fs20193002.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-101431","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":365379,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3002/coverthb.jpg"},{"id":365364,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3002/fs20193002.pdf","text":"Report","size":"660 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3002"}],"country":"United States","state":"Idaho, Nevada, Utah","otherGeospatial":"Eastern Great Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.02636718749999,\n              42.00032514831621\n            ],\n            [\n              -117.0703125,\n              36.77409249464195\n            ],\n            [\n              -114.60937499999999,\n              34.994003757575776\n    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Center","active":true,"usgs":true}],"preferred":true,"id":765664,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765665,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765666,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765689,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70204603,"text":"70204603 - 2019 - Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks","interactions":[],"lastModifiedDate":"2019-08-07T09:02:37","indexId":"70204603","displayToPublicDate":"2019-07-15T11:10:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks","docAbstract":"Estimation of low flows in rivers continues to be a vexing problem despite advances\nin statistical and process‐based hydrological models. We develop a method to\nestimate minimum streamflow at seasonal to annual timescales from measured\nstreamflow based on regional similarity in the deviations of daily streamflow from\nminimum streamflow for a period of interest. The method is applied to 1,019 gauged\nsites in the Western United States for June to December 2015. The gauges were\nclustered into six regions with distinct timing and magnitude of low flows. A gamma\ndistribution was fit each day to the deviations in specific discharge (daily streamflow\ndivided by drainage area) from minimum specific discharge for gauges in each region.\nThe Kolmogorov–Smirnov test identified days when the gamma distribution was\nadequate to represent the distribution of deviations in a region. The performance\nof the gamma distribution was evaluated at gauges by comparing daily estimates of\nminimum streamflow with estimates from area‐based regression relations for minimum\nstreamflow. Each region had at least 8 days during the period when streamflow\nmeasurements would provide better estimates than the regional regression equation,\nbut the number of such days varied by region depending on aridity and homogeneity\nof streamflow within the region. Synoptic streamflow measurements at ungauged\nsites have value for estimating minimum streamflow and improving the spatial\nresolution of hydrological model in regions with streamflow‐gauging networks.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13452","usgsCitation":"Konrad, C., 2019, Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks: Hydrological Processes, v. 33, no. 15, p. 2057-2067, https://doi.org/10.1002/hyp.13452.","productDescription":"11 p.","startPage":"2057","endPage":"2067","ipdsId":"IP-094109","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":366292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366279,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.13452"}],"volume":"33","issue":"15","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":217885,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767745,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70199738,"text":"ofr20181158 - 2019 - Offshore shallow structure and sediment distribution, Point Sur to Point Arguello, central California","interactions":[],"lastModifiedDate":"2019-07-17T11:29:18","indexId":"ofr20181158","displayToPublicDate":"2019-07-15T09:47:02","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1158","displayTitle":"Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California","title":"Offshore shallow structure and sediment distribution, Point Sur to Point Arguello, central California","docAbstract":"<p>This publication consists of three map sheets that display shallow geologic structure, along with sediment distribution and thickness, for an about 225-km-long offshore section of the central California coast between Point Sur and Point Arguello. Each map sheet includes three maps, at scales of either 1:150,000 or 1:200,000, as well as a set of figures that contain representative high-resolution seismic-reflection profiles. The maps and seismic-reflection surveys cover most of the continental shelf in this region. In addition, the maps show the locations of the shelf break and the 3-nautical-mile limit of California’s State Waters. <br></p><p>The seismic-reflection data, which are the primary dataset used to develop the maps, were collected to support the California Seafloor Mapping Program and U.S. Geological Survey Offshore Geologic Hazards projects. In addition to the three map sheets, this publication includes geographic information system data files of interpreted faults, folds, sediment thicknesses, and depths-to-base of sediment. The faults and folds shown on the maps have been locally simplified as appropriate for the map scales. <br></p><p>The right-lateral San Gregorio–Hosgri Fault (SGHF) is the most significant structure in the map area. On a regional scale, the SGHF is part of a 400-km-long, right-lateral fault system that extends northwestward from Point Arguello to the area offshore of San Francisco, where it merges with the San Andreas Fault. From north to south in this part of central California, the SGHF lies offshore between the south flank of Point Sur and the north flank of Point Piedras Blancas, then comes onshore at Point Piedras Blancas, before heading offshore again between the south flank of Point Piedras Blancas and Point Arguello. Cumulative fault offset along the SGHF is as much as 150 to 160 km, decreasing to the south by transferring slip on to northwest-striking faults that converge with the SGHF both onland and offshore from the east. In the map area, the offshore-converging faults include the Los Osos Fault, the Shoreline–Point Buchon Fault, the Casmalia Fault, and the Lions Head Fault. <br></p><p>Quaternary sediments and bedrock underlie the shelf. On the seismic-reflection profiles, we divide Quaternary shelf sediments into two units. Characterizing the younger, upper unit is a focus of this publication. This unit is inferred to have been deposited on the shelf in the last about 21,000 years during the sea-level rise that followed the last major lowstand and the Last Glacial Maximum (LGM). This upper unit overlies a transgressive surface of erosion, a commonly angular, wave-cut unconformity, and is generally characterized by low-amplitude, continuous to moderately continuous, diffuse, subparallel, generally flat reflections. Maps in this publication show both the thickness of this upper sediment unit and the depth to the base of the sediment unit. Within the map region, 11 different “domains” of post-LGM shelf sediment are delineated on the basis of sediment thickness and coastal geomorphology. Maximum sediment thickness is in the southern part of the region, offshore of the mouths of the Santa Ynez and Santa Maria Rivers. Minimum sediment thickness is found offshore of prominent rocky points, including Point Buchon and Piedras Blancas. Mean sediment thickness for the entire shelf in the map area between Point Sur and Point Arguello is 12.2 m, and total sediment volume is 24.7 million cubic meters.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181158","usgsCitation":"Johnson, S.Y., Hartwell, S.R., Watt, J.T., Beeson, J.W., and Dartnell, P., 2019, Offshore shallow structure and sediment distribution, Point Sur to Point Arguello, central California: U.S. Geological Survey Open-File Report 2018–1158, 3 sheets, scales 1:150,000 and 1:200,000, https://doi.org/10.3133/ofr20181158.","productDescription":"3 Sheets: 75.25 x 37.00 inches or smaller; Data catalog; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-093009","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":362224,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20161110","text":"Open-File Report 2016–1110","linkHelpText":" - California State Waters Map Series—Offshore of Monterey, California"},{"id":362225,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20181024","text":"Open-File Report 2018–1024","linkHelpText":" - California State Waters Map Series—Offshore of Point Conception, California"},{"id":362219,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1158/coverthb.jpg"},{"id":362220,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1158/ofr20181158_sheet1.pdf","text":"Sheet 1","size":"25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1158 Sheet 1","linkHelpText":" - Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California"},{"id":362227,"rank":9,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2018/1158/ofr20181158_metadata.html"},{"id":362221,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1158/ofr20181158_sheet2.pdf","text":"Sheet 2","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1158 Sheet 2","linkHelpText":" - Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California"},{"id":362223,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","linkHelpText":" - California State Waters Map Series Data Catalog"},{"id":362222,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1158/ofr20181158_sheet3.pdf","text":"Sheet 3","size":"27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1158 Sheet 3","linkHelpText":" - Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California"},{"id":362226,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://cmgds.marine.usgs.gov/data/csmp/PointSurToPointArguello/data_catalog_PointSurToPointArguello.html","text":" Data Catalog","linkHelpText":" - The GIS data layers for this map are accessible from “Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."}],"country":"United States","state":"California","otherGeospatial":"Point Arguello, Point Sur","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.62850952148436,\n              34.56199029762806\n            ],\n            [\n              -120.59555053710938,\n              34.83043208639951\n            ],\n            [\n              -120.59967041015624,\n              34.86480634950137\n            ],\n            [\n              -120.65151214599608,\n              34.91380708793209\n            ],\n            [\n              -120.62988281249999,\n              34.95180476488174\n            ],\n            [\n              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-120.96084594726564,\n              35.36105611877928\n            ],\n            [\n              -121.01165771484375,\n              35.247862157399915\n            ],\n            [\n              -120.70541381835938,\n              35.01987504801111\n            ],\n            [\n              -120.72052001953125,\n              34.8971951696173\n            ],\n            [\n              -120.68206787109375,\n              34.784483415461345\n            ],\n            [\n              -120.68344116210938,\n              34.555204483709474\n            ],\n            [\n              -120.65872192382812,\n              34.558597459864096\n            ],\n            [\n              -120.62850952148436,\n              34.56199029762806\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Contact Information</a><br><a data-mce-href=\"https://walrus.wr.usgs.gov/\" href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Pacific Coastal &amp; Marine Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060<br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-07-15","noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":208205,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartwell, Stephen R. 0000-0002-3522-7526","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":208206,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Janet T. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":208207,"corporation":false,"usgs":true,"family":"Watt","given":"Janet T.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":746416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeson, Jeffrey W. 0000-0002-7396-237X","orcid":"https://orcid.org/0000-0002-7396-237X","contributorId":194964,"corporation":false,"usgs":false,"family":"Beeson","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":746417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dartnell, Peter 0000-0002-9554-729X","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":208208,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224332,"text":"70224332 - 2019 - Observations of American Shad Alosa sapidissima approaching and using a vertical slot fishway at the head-of-tide Brunswick Dam on the Androscoggin River, Maine","interactions":[],"lastModifiedDate":"2021-09-23T12:42:19.075907","indexId":"70224332","displayToPublicDate":"2019-07-15T07:38:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9356,"text":"Fisheries Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Observations of American Shad Alosa sapidissima approaching and using a vertical slot fishway at the head-of-tide Brunswick Dam on the Androscoggin River, Maine","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>American Shad<span>&nbsp;</span><i>Alosa sapidissima</i><span>&nbsp;</span>have historically supported an important fishery along the Atlantic coastal waters of North America. However, the construction of dams reduced populations and restricted landings. Fishways are intended to mitigate obstacles to anadromous fish migrations, but a thorough evaluation of their efficiency is warranted. We analyzed data collected from video recordings, hydropower turbine operations, and telemetry conducted by the Maine Department of Marine Resources to evaluate American Shad behavior while approaching and using a vertical slot fishway at the head-of-tide Brunswick Dam on the Androscoggin River in Maine. American Shad passage at the dam has been poor, ranging from 0 to 1,100 fish per year, relative to passage at other facilities in the region. Additionally, our observations indicate that there are relatively high numbers of American Shad present downstream in the river (averaging 50,000) compared with the entrance of the fishway or its pools (&lt;8,000). On average, the rates of observed American Shad on the side of the river near the fishway entrance were significantly higher (6.5–8.6&nbsp;individuals/min) when the turbine closest to the entrance of the fishway was not operating compared with when it was operating (4.1&nbsp;individuals/min). Most of the radio-tagged American Shad remained in the river below the dam or went undetected. Eleven of 57 tagged fish were detected at the fishway entrance and of those only five were detected in the lower fishway. Individuals that were detected were observed making multiple attempts at entering the fishway, but movements were restricted to the lower pools. Our results suggest that this fishway is not conducive to the passage of American Shad. Examining the relationship between hydropower operations and other environmental variables on the behavior and passage of migrating anadromous fish remain an area for further study.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10330","usgsCitation":"Weaver, D., Brown, M., and Zydlewski, J.D., 2019, Observations of American Shad Alosa sapidissima approaching and using a vertical slot fishway at the head-of-tide Brunswick Dam on the Androscoggin River, Maine: Fisheries Bulletin, v. 39, no. 5, p. 989-998, https://doi.org/10.1002/nafm.10330.","productDescription":"10 p.","startPage":"989","endPage":"998","ipdsId":"IP-105674","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":389643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Brunswick Dam on the Androscoggin River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.6640625,\n              43.58039085560784\n            ],\n            [\n              -69.19189453125,\n              43.628123412124616\n            ],\n            [\n              -69.268798828125,\n              45.1742925240767\n            ],\n            [\n              -70.740966796875,\n              45.1433047394883\n            ],\n            [\n              -70.6640625,\n              43.58039085560784\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Weaver, Daniel M.","contributorId":265931,"corporation":false,"usgs":false,"family":"Weaver","given":"Daniel M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":823782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Michael","contributorId":265932,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","affiliations":[{"id":54827,"text":"Maine Dept. of Marine Resources","active":true,"usgs":false}],"preferred":false,"id":823783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":823781,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222406,"text":"70222406 - 2019 - Age truncation of alewife in Lake Michigan","interactions":[],"lastModifiedDate":"2023-01-19T16:41:51.012041","indexId":"70222406","displayToPublicDate":"2019-07-15T06:49:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Age truncation of alewife in Lake Michigan","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\">Empirical evidence has shown increased variability in harvest and recruitment of exploited fish populations, which can result directly from exploitation or indirectly from interactions between external drivers and the internal dynamics of age-structured populations. We investigated whether predation in a freshwater system could affect a prey fish population, in the same way fishing affects targeted populations. Using fishery-independent trawl survey data and a suite of quantitative indicators, we evaluated changes in the alewife population in Lake Michigan. Our results provide evidence for a reduction in the mean spawner age, a reduction in the diversity of age classes and the distribution of biomass across them, and increased variability in the proportion of first time spawners in the spawning stock. We used wavelet analysis and estimates of lifetime egg production to demonstrate how the alewife population displays behaviors of instability as the overall biomass declines. Our results provide evidence that predation pressure can influence prey fish populations in a similar manner to fishing on harvested populations, and that conservation of a broad reproducing age structure is likely to be important for buffering against adverse environmental fluctuations and for sustainable management of fish populations.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.06.006","usgsCitation":"Vidal, T., Irwin, B.J., Madenjian, C.P., and Wenger, S.J., 2019, Age truncation of alewife in Lake Michigan: Journal of Great Lakes Research, v. 45, no. 5, p. 958-968, https://doi.org/10.1016/j.jglr.2019.06.006.","productDescription":"11 p.","startPage":"958","endPage":"968","ipdsId":"IP-103514","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":387456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.4619140625,\n              41.64007838467894\n            ],\n            [\n              -85.20996093749999,\n              41.64007838467894\n            ],\n            [\n              -85.20996093749999,\n              46.255846818480315\n            ],\n            [\n              -88.4619140625,\n              46.255846818480315\n            ],\n            [\n              -88.4619140625,\n              41.64007838467894\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vidal, T.","contributorId":261383,"corporation":false,"usgs":false,"family":"Vidal","given":"T.","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":819941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":819942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":819943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth","contributorId":261384,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":819944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204342,"text":"70204342 - 2019 - Environmental DNA assays for invasive populations of the Black Carp, Mylopharyngodon piceus, in North America","interactions":[],"lastModifiedDate":"2019-12-03T09:39:59","indexId":"70204342","displayToPublicDate":"2019-07-13T14:23:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA assays for invasive populations of the Black Carp, Mylopharyngodon piceus, in North America","docAbstract":"The Black Carp, Mylopharyngodon piceus, is an increasingly widespread invasive species in North America that threatens freshwater mussel populations. We developed four qPCR assays for detecting environmental DNA (eDNA) from these Black Carp populations. Assays were designed to target four mitochondrial DNA loci and were based on 34 complete mitochondrial genome sequences, including 29 generated in this study from samples obtained in three countries. Assays were validated for taxon specificity with in silico comparisons against archived DNA sequences and with in vitro tests of 41 DNA samples from Black Carp, as well as DNA samples from 30 non‐target fish species, all from the Mississippi River Basin. All four assays were able to detect the DNA of all Black Carp samples and did not exhibit any positive results with DNA from other tested species. Tests conducted in round‐robin fashion among three different laboratories found that all four assays were able to detect DNA at very low template concentrations (limits of detection = 3 copies/qPCR, limits of quantification = 16‐64 copies/qPCR) and, as part of in situ validation, were successful in detecting eDNA from Black Carp in aquaculture ponds. Despite some challenges with other attempts at in situ validation, the assays were also effective in detecting Black Carp eDNA in water samples from a drainage ditch in the upper reaches of the species’ range that was known to contain juvenile Black Carp, as well as in water samples from the Missisippi River and a connected oxbow lake in the lower reaches of the species range.","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10195","usgsCitation":"Guan, X., Monroe, E., Bockrath, K., Mize, E.L., Rees, C., Lindsay, D.L., Baerwaldt, K.L., Nico, L., and Lance, R.F., 2019, Environmental DNA assays for invasive populations of the Black Carp, Mylopharyngodon piceus, in North America: Transactions of the American Fisheries Society, v. 148, no. 6, p. 1043-1055, https://doi.org/10.1002/tafs.10195.","productDescription":"13 p.","startPage":"1043","endPage":"1055","ipdsId":"IP-102690","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10195","text":"Publisher Index Page"},{"id":365726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365695,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/tafs.10195"}],"volume":"148","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Guan, Xin","contributorId":196130,"corporation":false,"usgs":false,"family":"Guan","given":"Xin","email":"","affiliations":[],"preferred":false,"id":766425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, E.M.","contributorId":217239,"corporation":false,"usgs":false,"family":"Monroe","given":"E.M.","email":"","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":766426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bockrath, K.D.","contributorId":217240,"corporation":false,"usgs":false,"family":"Bockrath","given":"K.D.","email":"","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":766427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mize, Erica L.","contributorId":217242,"corporation":false,"usgs":false,"family":"Mize","given":"Erica","email":"","middleInitial":"L.","affiliations":[{"id":39581,"text":"Whitney Genetics Laboratory, Midwest Fisheries Center, U.S. Fish and Wildlife Service, 555 Lester Avenue, Onalaska, WI USA","active":true,"usgs":false}],"preferred":false,"id":766431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rees, C.B.","contributorId":217241,"corporation":false,"usgs":false,"family":"Rees","given":"C.B.","email":"","affiliations":[{"id":39582,"text":"Northeast Fishery Center, U.S. Fish and Wildlife Service, 308 Washington Ave., Lamar, PA USA","active":true,"usgs":false}],"preferred":false,"id":766428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindsay, Denise L.","contributorId":217243,"corporation":false,"usgs":false,"family":"Lindsay","given":"Denise","email":"","middleInitial":"L.","affiliations":[{"id":39583,"text":"Environmental Laboratory, United States Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS USA","active":true,"usgs":false}],"preferred":false,"id":766432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baerwaldt, Kelly L.","contributorId":196134,"corporation":false,"usgs":false,"family":"Baerwaldt","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":766429,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nico, Leo 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":138599,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772901,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lance, Richard F.","contributorId":176872,"corporation":false,"usgs":false,"family":"Lance","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":772902,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204234,"text":"70204234 - 2019 - Diel feeding behavior in a partially migrant Mysis population: A benthic-pelagic comparison","interactions":[],"lastModifiedDate":"2023-03-27T22:17:55.551818","indexId":"70204234","displayToPublicDate":"2019-07-13T09:28:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diel feeding behavior in a partially migrant <i>Mysis</i> population: A benthic-pelagic comparison","title":"Diel feeding behavior in a partially migrant Mysis population: A benthic-pelagic comparison","docAbstract":"<p><span>Populations that exhibit partial migration include migrants and non-migrants. For benthic-pelagic organisms that exhibit partial diel vertical migration (PDVM), migrants and non-migrants spend different amounts of time in benthic and pelagic foraging arenas over a diel cycle. For example, mysids exhibit PDVM and can feed on benthic and pelagic resources. Migratory individuals are assumed to undergo vertical migration at night to access pelagic food when predation risk is low. However, feeding behavior of non-migrant benthic individuals is not well understood. One hypothesis to explain individual variability in diel vertical migration (DVM) behavior is the hunger-satiation state of individuals (hunger-satiation (HS) hypothesis), which predicts that migration is driven by hunger and non-migration is a response to satiation. We assessed diel feeding patterns of benthic- and pelagic-caught&nbsp;</span><i>Mysis</i><span>&nbsp;in Lake Champlain to evaluate if PDVM was consistent with predictions of the HS hypothesis. Stomach fullness and diet composition revealed little diel difference in stomach contents between time of day or between benthic and pelagic individuals at night. Pelagic individuals had consistently higher stomach fullness shortly after sunset compared to near midnight. Non-migrant benthic individuals at night and benthic-caught individuals during the day had similar amounts of detritus in stomachs. High stomach fullness and levels of zooplankton in benthic-caught stomachs indicate&nbsp;</span><i>Mysis</i><span>&nbsp;actively feed when benthic, regardless of time of day. Our results suggest variation in&nbsp;</span><i>Mysis</i><span>&nbsp;migration behavior is not likely due to hunger-satiation, and highlights the importance of variable behavior in determining&nbsp;</span><i>Mysis</i><span>&nbsp;effects on food web interactions in deep lakes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2019.e00117","usgsCitation":"O’Malley, B., and Stockwell, J.D., 2019, Diel feeding behavior in a partially migrant Mysis population: A benthic-pelagic comparison: Food Webs, v. 20, e00117, 14 p., https://doi.org/10.1016/j.fooweb.2019.e00117.","productDescription":"e00117, 14 p.","ipdsId":"IP-101828","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":365571,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.46282958984375,\n              44.83249999349062\n            ],\n            [\n              -73.46282958984375,\n              44.8344477567128\n            ],\n            [\n              -73.46282958984375,\n              44.8344477567128\n            ],\n            [\n              -73.46282958984375,\n              44.83249999349062\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.45184326171875,\n              44.22158376545796\n            ],\n            [\n              -73.114013671875,\n              44.22158376545796\n            ],\n            [\n              -73.114013671875,\n              44.968684437948376\n            ],\n            [\n              -73.45184326171875,\n              44.968684437948376\n            ],\n            [\n              -73.45184326171875,\n              44.22158376545796\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":766114,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215332,"text":"70215332 - 2019 - Cohesive framework for modeling plant cover class data","interactions":[],"lastModifiedDate":"2020-10-16T13:48:06.231673","indexId":"70215332","displayToPublicDate":"2019-07-13T08:45:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Cohesive framework for modeling plant cover class data","docAbstract":"<ol class=\"\"><li>The study of plant distribution and abundance is a fundamental pursuit in ecology and conservation biology. Measuring plant abundance by visually assessing percent cover and recording a cover class is a common field method that yields ordinal data. Statistical models for ordinal data exist but entail cumbersome interpretations and sometimes restrictive assumptions.</li><li>We propose a Bayesian hierarchical framework for analysing cover class data that allows for linking ordinal observations to a latent beta distribution and accounts for zero inflation. Harnessing a latent beta distribution supports interpreting changes in abundance in terms of mean percent cover rather than odds ratios of cumulative cover classes as for cumulative link models. The zero augmentation allows for simultaneous inferences on both occurrence (distribution) and abundance. We show how our model can account for true and false zeros, misclassification of cover classes, multiple species and hierarchical sampling designs, using empirical examples and simulations.</li><li>Simulated observation errors, when ignored, led to models overestimating abundance and underestimating occurrence. Based on simulations, we found no substantial difference between mean percent cover estimates when analyzing ordinal cover classes versus continuous percent cover as the response. Our empirical datasets displayed high probability of detection (&gt;0.85 on average for all species), likely due to the sampling design used and training of observers. Probability of occurrence was slightly underestimated for bare ground,<span>&nbsp;</span><i>Artemisia tridentata</i>,<span>&nbsp;</span><i>Elycap medusae</i>, and<span>&nbsp;</span><i>Poa secunda</i><span>&nbsp;</span>using a model that ignored imperfect detection. Estimated mean percent cover was not substantially impacted by ignoring measurement error for five plant species and bare ground.</li><li>Our modelling framework for cover class data allows for an explicit separation of distribution from abundance and, importantly, allows for interpreting species–environment relationships in terms of variation in mean percent cover as compared to cumulative odds ratios. The beta distribution inherently accommodates heteroscedasticity and skewness, statistical properties that are a consequence of spatially aggregated patterns common to plant survey data. Recording cover classes provides a reliable, efficient way to measure plants and our simulations suggest little loss of information compared to assuming continuous percent cover. We provide JAGS and Stan model code for implementation.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.13262","usgsCitation":"Irvine, K., Wright, W.J., Shanahan, E.K., and Rodhouse, T., 2019, Cohesive framework for modeling plant cover class data: Methods in Ecology and Evolution, v. 10, no. 10, p. 1749-1760, https://doi.org/10.1111/2041-210X.13262.","productDescription":"12 p.","startPage":"1749","endPage":"1760","ipdsId":"IP-105684","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467456,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13262","text":"Publisher Index Page"},{"id":437387,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99JX2ND","text":"USGS data release","linkHelpText":"Supplement S1: Code Release for fitting OZAB and OZABE to Empirical Datasets in &amp;amp;quot;Cohesive Framework for Modeling Plant Cover Class Data&amp;amp;quot;"},{"id":379462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":220632,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":801748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Wilson J.","contributorId":192867,"corporation":false,"usgs":false,"family":"Wright","given":"Wilson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":801749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanahan, Erin K.","contributorId":217938,"corporation":false,"usgs":false,"family":"Shanahan","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":801750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":801751,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204221,"text":"70204221 - 2019 - Crustal architecture beneath the southern Midcontinent (USA) and controls on Mesoproterozoic iron-oxide mineralization from 3D geophysical models","interactions":[],"lastModifiedDate":"2019-08-13T15:40:56","indexId":"70204221","displayToPublicDate":"2019-07-12T15:23:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Crustal architecture beneath the southern Midcontinent (USA) and controls on Mesoproterozoic iron-oxide mineralization from 3D geophysical models","docAbstract":"Several types of critical mineral-bearing ore deposits in the southern Midcontinent region of the U.S. are hosted in Mesoproterozoic igneous rocks largely concealed beneath Paleozoic cover. Discerning the architecture of igneous intrusions and volcanic centers in the crust is fundamental to understanding the geologic evolution of this vast region and its mineral resources. To advance the understanding of the geologic framework beneath the Southeast Missouri Iron Metallogenic Province, we invert continental-scale magnetic and gravity anomaly data to three-dimensional (3D) physical property models. The regional models image altered and mineralized igneous rocks near the Precambrian basement surface and underlying intrusive complexes that extend down to the Moho. At shallow crustal levels, our models confirm that iron oxide-apatite ± rare earth element (IOA±REE) deposits and iron oxide-copper-gold ± cobalt (IOCG) deposits occur within or near the edges of large low density/low susceptibility early Mesoproterozoic (ca 1.4 Ga) silicic calderas and (ca 1.3 Ga) granitic plutons.  Previous isotopic and geochemical studies conclude that the iron deposits and their volcanic host rocks originated from mantle-derived and crustal melts that erupted during regional extension. Extension was associated with thermal event(s) that produced the large-scale silicic magmatism related to the ca 1.45 Ga Eastern Granite Rhyolite Province (EGRP) and the 1.35 Ga Southern Granite Rhyolite Province (SGRP). We postulate that early in the evolution of the EGRP, several trans-crustal magmatic plumbing systems developed that are evident in the 3D models. The Southeast Missouri Metallogenic Province is underlain by one such magmatic system that is expressed as a northwest-trending ~ 50 km-wide by 200 km-long elongate track of high susceptibility at deep crustal levels. The high susceptibility corridor splays upward through the crust to the Precambrian surface where the iron deposits are the epigenetic manifestation of this magmatic event. Our findings confirm that the iron deposits, with no distinct connection at the surface, are connected to one large magmatic system at depth. We propose that other similar susceptibility tracks, which are present along the top of the mantle, mark additional feeder zones that allowed magma to ascend to the main eruptive centers that produced the Granite Rhyolite Provinces. The early Mesoproterozoic extensional tectonic framework established crustal-scale pathways that controlled the distribution of subsequent magmatic activity, including the ca 1.4 Ga calderas and underlying intrusions, ca 1.3 Ga silicic plutons and Phanerozoic alkaline intrusions. If these interpretations are correct, our study has identified large areas that are prospective for critical mineral-bearing ore deposits and, importantly, suggests that the Mesoproterozoic architecture may have influenced subsequent magmatism and hydrothermal activity in the southern Midcontinent of the U.S.","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2019.102966","collaboration":"test","usgsCitation":"McCafferty, A.E., Phillips, J.D., Hofstra, A.H., and Day, W.C., 2019, Crustal architecture beneath the southern Midcontinent (USA) and controls on Mesoproterozoic iron-oxide mineralization from 3D geophysical models: Ore Geology Reviews, v. 111, 102966, 21 p., https://doi.org/10.1016/j.oregeorev.2019.102966.","productDescription":"102966, 21 p.","ipdsId":"IP-105129","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":467457,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2019.102966","text":"Publisher Index Page"},{"id":437389,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GDWR0C","text":"USGS data release","linkHelpText":"Crustal Architecture Beneath the Southern Midcontinent (USA) -- Data Grids and 3D Geophysical Models"},{"id":365526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365520,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2019.102966"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.94140625,\n              30.259067203213018\n            ],\n            [\n              -82.30957031249999,\n              30.259067203213018\n            ],\n            [\n              -82.30957031249999,\n              44.809121700077355\n            ],\n            [\n              -104.94140625,\n              44.809121700077355\n            ],\n            [\n              -104.94140625,\n              30.259067203213018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":766048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey D. 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":1572,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":766049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":766050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":766051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204398,"text":"70204398 - 2019 - Spatiotemporal variability in energetic condition of alewife and round goby in Lake Michigan","interactions":[],"lastModifiedDate":"2019-10-28T10:00:37","indexId":"70204398","displayToPublicDate":"2019-07-12T14:05:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal variability in energetic condition of alewife and round goby in Lake Michigan","docAbstract":"<p><span>Pelagic-oriented alewife (</span><i>Alosa pseudoharengus</i><span>) and benthic-oriented round goby (</span><i>Neogobius melanostomus</i><span>) are two important prey fishes in the Laurentian Great Lakes. In 2015, we evaluated their seasonal total energy (TE) across nine Lake Michigan transects. Round goby contained at least 48% more kilojoules of TE than alewife of equal length during spring and summer. TE varied spatially for both species, but only large alewife exhibited a consistent pattern, with higher values along the eastern shoreline. Variation in TE was not explained by site-specific prey densities for either species. Round goby energy density (ED) was higher in Lake Michigan than in central Lake Erie, but comparable to other regions of the Great Lakes. Alewife ED in 2015 was similar to that in 2002–2004 in Lake Michigan, with the exception of November (small alewife ED was 21% higher) and April (large alewife ED was 30% lower). Despite oligotrophication, our study suggests that starvation of juvenile and adults has not been directly contributing to overall declining prey fish abundance, although future research should evaluate the potential for overwinter starvation.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0391","usgsCitation":"Bunnell, D., Pothoven, S.A., Dieter, P., Eaton, L.A., Warner, D., Elgin, A.K., Burlakova, L., and Karatayev, A.Y., 2019, Spatiotemporal variability in energetic condition of alewife and round goby in Lake Michigan: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 44, p. 1982-1992, https://doi.org/10.1139/cjfas-2018-0391.","productDescription":"11 p.","startPage":"1982","endPage":"1992","ipdsId":"IP-101061","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467459,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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K.","contributorId":216170,"corporation":false,"usgs":false,"family":"Elgin","given":"Ashley","email":"","middleInitial":"K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burlakova, Lyuba E.","contributorId":217347,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyuba E.","affiliations":[{"id":35093,"text":"Buffalo State University","active":true,"usgs":false}],"preferred":false,"id":766610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karatayev, Alexander Y.","contributorId":150923,"corporation":false,"usgs":false,"family":"Karatayev","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":18141,"text":"SUNY Buffalo State","active":true,"usgs":false}],"preferred":false,"id":766611,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70205024,"text":"70205024 - 2019 - Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","interactions":[],"lastModifiedDate":"2019-10-09T09:54:57","indexId":"70205024","displayToPublicDate":"2019-07-12T12:58:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","docAbstract":"<p><span>Exhumation and landscape evolution along strike‐slip fault systems reflect tectonic processes that accommodate and partition deformation in orogenic settings. We present 17 new apatite (U‐Th)/He (He), zircon He, apatite fission‐track (FT), and zircon FT dates from the eastern Denali fault zone (EDFZ) that bounds the Kluane Ranges in Yukon, Canada. The dates elucidate patterns of deformation along the EDFZ. Mean apatite He, apatite FT, zircon He, and zircon FT sample dates range within ~26–4, ~110–12, ~94–28, and ~137–83 Ma, respectively. A new zircon U‐Pb date of 113.9 ± 1.7 Ma (2</span><i>σ</i><span>) complements existing geochronology and aids in interpretation of low‐temperature thermochronometry data patterns. Samples ≤2 km southwest of the EDFZ trace yield the youngest thermochronometry dates. Multimethod thermochronometry, zircon He date‐effective U patterns, and thermal history modeling reveal rapid cooling ~95–75 Ma, slow cooling ~75–30 Ma, and renewed rapid cooling ~30 Ma to present. The magnitude of net surface uplift constrained by published paleobotanical data, exhumation, and total surface uplift from ~30 Ma to present are ~1, ~2–6, and ~1–7 km, respectively. Exhumation is highest closest to the EDFZ trace but substantially lower than reported for the central Denali fault zone. We infer exhumation and elevation changes associated with ~95–75 Ma terrane accretion and EDFZ activity, relief degradation from ~75–30 Ma, and ~30 Ma to present exhumation and surface uplift as a response to flat‐slab subduction and transpressional deformation. Integrated results reveal new constraints on landscape evolution within the Kluane Ranges directly tied to the EDFZ during the last ~100 Myr.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2019TC005545","usgsCitation":"McDermott, R.G., Ault, A.K., Caine, J.S., and Thomson, S.N., 2019, Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada: Tectonics, v. 38, no. 8, p. 2983-3010, https://doi.org/10.1029/2019TC005545.","productDescription":"28 p.","startPage":"2983","endPage":"3010","ipdsId":"IP-105959","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019tc005545","text":"Publisher Index Page"},{"id":367017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Denali Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.390625,\n              58.56252272853734\n            ],\n            [\n              -135.17578125,\n              58.56252272853734\n            ],\n            [\n              -135.17578125,\n              64.28275952823394\n            ],\n            [\n              -155.390625,\n              64.28275952823394\n            ],\n            [\n              -155.390625,\n              58.56252272853734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McDermott, Robert G. 0000-0002-2550-0322","orcid":"https://orcid.org/0000-0002-2550-0322","contributorId":218595,"corporation":false,"usgs":false,"family":"McDermott","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Alexis K. 0000-0001-6361-3179","orcid":"https://orcid.org/0000-0001-6361-3179","contributorId":218596,"corporation":false,"usgs":false,"family":"Ault","given":"Alexis","email":"","middleInitial":"K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":769610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomson, Stuart N. 0000-0003-4331-5654","orcid":"https://orcid.org/0000-0003-4331-5654","contributorId":218597,"corporation":false,"usgs":false,"family":"Thomson","given":"Stuart","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":769613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223763,"text":"70223763 - 2019 - Fish assemblages in a Mississippi reservoir mudflat with low structural complexity","interactions":[],"lastModifiedDate":"2021-09-07T15:03:20.140177","indexId":"70223763","displayToPublicDate":"2019-07-12T09:58:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblages in a Mississippi reservoir mudflat with low structural complexity","docAbstract":"<p><span>In shallow reservoirs, seasonal water drawdowns expose littoral areas and over time produce barren mudflats. When flooded, mudflats provide homogeneous substrates, turbid water, and eroding shorelines of limited ecological value. We hypothesized that in mudflats structurally complex habitats are occupied by more fish, smaller fish of a larger range in sizes, more species, and fish assemblages that are different from those in simpler habitats. We tested these hypotheses over two consecutive years with fish collections made in sites with varying structural complexity. Results indicated that structural complexity harbors more fish in transects and enclosures. Structural complexity did not influence median length, but length range increased with structural complexity. Average species richness increased with structural complexity. Fish assemblage composition changed as structural complexity increased. The ability of cover to provide survival, growth, and carrying capacity benefits is fundamental to programs aimed at increasing structural complexity. Results suggest observed effects on fish assemblages can lead to such benefits. Considering mudflats are a major component of reservoirs, expand as reservoirs age, and there is a potential to exert meaningful change on fish assemblages of impounded rivers by managing mudflats, we suggest additional attention is needed to develop practical habitat restoration options.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-019-04019-w","usgsCitation":"Hatcher, H., Miranda, L.E., Colvin, M., Coppola, G., and Lashley, M., 2019, Fish assemblages in a Mississippi reservoir mudflat with low structural complexity: Hydrobiologia, v. 841, p. 163-175, https://doi.org/10.1007/s10750-019-04019-w.","productDescription":"13 p.","startPage":"163","endPage":"175","ipdsId":"IP-105174","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Enid Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.91931915283202,\n              34.10611931869012\n            ],\n            [\n              -89.6920394897461,\n              34.10611931869012\n            ],\n            [\n              -89.6920394897461,\n              34.21577688548365\n            ],\n            [\n              -89.91931915283202,\n              34.21577688548365\n            ],\n            [\n              -89.91931915283202,\n              34.10611931869012\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"841","noUsgsAuthors":false,"publicationDate":"2019-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatcher, H. R.","contributorId":265333,"corporation":false,"usgs":false,"family":"Hatcher","given":"H. R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":822569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":265334,"corporation":false,"usgs":false,"family":"Colvin","given":"M. E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822570,"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":822571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lashley, M. A.","contributorId":265336,"corporation":false,"usgs":false,"family":"Lashley","given":"M. A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":822572,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204787,"text":"70204787 - 2019 - Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","interactions":[],"lastModifiedDate":"2019-10-09T09:42:38","indexId":"70204787","displayToPublicDate":"2019-07-12T07:01:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Filling knowledge gaps in a threatened shorebird flyway through satellite tracking","docAbstract":"<ol class=\"\"><li>Satellite‐based technologies that track individual animal movements enable the mapping of their spatial and temporal patterns of occurrence. This is particularly useful in poorly studied or remote regions where there is a need for the rapid gathering of relevant ecological knowledge to inform management actions. One such region is East Asia, where many intertidal habitats are being degraded at unprecedented rates and shorebird populations relying on these habitats show rapid declines.</li><li>We examine the utility of satellite tracking to accelerate the identification of coastal sites of conservation importance in the East Asian–Australasian Flyway. In 2015–2017, we used solar‐powered satellite transmitters to track the migration of 32 great knots (<i>Calidris tenuirostris</i>), an “Endangered” shorebird species widely distributed in the Flyway and fully dependent on intertidal habitats for foraging during the non‐breeding season.</li><li>From the great knot tracks, a total of 92 stopping sites along the Flyway were identified. Surprisingly, 63% of these sites were not known as important shorebird sites before our study; in fact, every one of the tracked individuals used sites that were previously unrecognized.</li><li>Site knowledge from on‐ground studies in the Flyway is most complete for the Yellow Sea and generally lacking for Southeast Asia, Southern China and Eastern Russia.</li><li><i>Synthesis and applications</i>. Satellite tracking highlighted coastal habitats that are potentially important for shorebirds but lack ecological information and conservation recognition, such as those in Southern China and Southeast Asia. At the same time, the distributional data of tracked individuals can direct on‐ground surveys at the lesser known sites to collect information on bird numbers and habitat characteristics. To recognize and subsequently protect valuable coastal habitats, filling knowledge gaps by integrating bird tracking with ground‐based methods should be prioritized.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13474","usgsCitation":"Chan, Y., Tibbitts, T.L., Lok, T., Chris Hassell, Peng, H., Ma, Z., Zhang, Z., and Theunis Piersma, 2019, Filling knowledge gaps in a threatened shorebird flyway through satellite tracking: Journal of Applied Ecology, v. 56, no. 10, p. 2305-2315, https://doi.org/10.1111/1365-2664.13474.","productDescription":"11 p.","startPage":"2305","endPage":"2315","ipdsId":"IP-099503","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13474","text":"Publisher Index Page"},{"id":366595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, China, Indonesia, Russia","otherGeospatial":"East Asian-Australasian Flyway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n             100.00,\n              60.00\n            ],\n            [\n              142.00,\n              60.00\n            ],\n            [\n              142.00,\n              -20.00\n            ],\n            [\n              100.00,\n              -20.00\n            ],\n            [\n              100.00,\n              60.00\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Yin-Chi","contributorId":218152,"corporation":false,"usgs":false,"family":"Chan","given":"Yin-Chi","email":"","affiliations":[{"id":39763,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":768479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":768478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lok, Tamar","contributorId":218153,"corporation":false,"usgs":false,"family":"Lok","given":"Tamar","email":"","affiliations":[{"id":17924,"text":"Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":768480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chris Hassell","contributorId":218154,"corporation":false,"usgs":false,"family":"Chris Hassell","affiliations":[{"id":39764,"text":"Global Flyway Network, Australia","active":true,"usgs":false}],"preferred":false,"id":768481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peng, He-Bo","contributorId":218155,"corporation":false,"usgs":false,"family":"Peng","given":"He-Bo","email":"","affiliations":[{"id":39765,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research; Fudan University, Shanghai, China","active":true,"usgs":false}],"preferred":false,"id":768482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, Zhijun","contributorId":218156,"corporation":false,"usgs":false,"family":"Ma","given":"Zhijun","email":"","affiliations":[{"id":39766,"text":"Fudan University, Shanghai, China","active":true,"usgs":false}],"preferred":false,"id":768483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Zhengwang","contributorId":218157,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhengwang","email":"","affiliations":[{"id":39767,"text":"Beijing Normal University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":768484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Theunis Piersma","contributorId":218158,"corporation":false,"usgs":false,"family":"Theunis Piersma","affiliations":[{"id":39768,"text":"University of Groningen, the Netherlands; Royal Netherlands Institute for Sea Research, Global Flyway Network","active":true,"usgs":false}],"preferred":false,"id":768485,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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