{"pageNumber":"943","pageRowStart":"23550","pageSize":"25","recordCount":184617,"records":[{"id":70193653,"text":"70193653 - 2017 - Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance","interactions":[],"lastModifiedDate":"2017-11-13T14:41:28","indexId":"70193653","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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":"Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance","docAbstract":"<p><span>It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine information from multiple field methods or sampling devices permit rigorous comparison of method-specific detection parameters, enable estimation of additional parameters such as false-positive detection probability, and improve occurrence or abundance estimates, but with the assumption that the separate sampling methods produce detections independently of one another. This assumption is tenuous if methods are paired or deployed in close proximity simultaneously, a common practice that reduces the additional effort required to implement multiple methods and reduces the risk that differences between method-specific detection parameters are confounded by other environmental factors. We develop occupancy and spatial capture–recapture models that permit covariance between the detections produced by different methods, use simulation to compare estimator performance of the new models to models assuming independence, and provide an empirical application based on American marten (</span><i>Martes americana</i><span>) surveys using paired remote cameras, hair catches, and snow tracking. Simulation results indicate existing models that assume that methods independently detect organisms produce biased parameter estimates and substantially understate estimate uncertainty when this assumption is violated, while our reformulated models are robust to either methodological independence or covariance. Empirical results suggested that remote cameras and snow tracking had comparable probability of detecting present martens, but that snow tracking also produced false-positive marten detections that could potentially substantially bias distribution estimates if not corrected for. Remote cameras detected marten individuals more readily than passive hair catches. Inability to photographically distinguish individual sex did not appear to induce negative bias in camera density estimates; instead, hair catches appeared to produce detection competition between individuals that may have been a source of negative bias. Our model reformulations broaden the range of circumstances in which analyses incorporating multiple sources of information can be robustly used, and our empirical results demonstrate that using multiple field-methods can enhance inferences regarding ecological parameters of interest and improve understanding of how reliably survey methods sample these parameters.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1587","usgsCitation":"Clare, J., McKinney, S.T., DePue, J.E., and Loftin, C., 2017, Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance: Ecological Applications, v. 27, no. 7, p. 2031-2047, https://doi.org/10.1002/eap.1587.","productDescription":"17 p.","startPage":"2031","endPage":"2047","ipdsId":"IP-072877","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","volume":"27","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-05","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e1d","contributors":{"authors":[{"text":"Clare, John","contributorId":200304,"corporation":false,"usgs":false,"family":"Clare","given":"John","affiliations":[],"preferred":false,"id":721849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":719764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193534,"text":"70193534 - 2017 - Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","interactions":[],"lastModifiedDate":"2017-11-14T13:37:04","indexId":"70193534","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating Mudpuppy (<i>Necturus maculosus</i>) abundance in the Lamoille River, Vermont, USA","title":"Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","docAbstract":"<p>The Mudpuppy (Necturus maculosus) is classified as a Species of Greatest Conservation Need by the state of Vermont. There is concern regarding status of populations in the Lake Champlain basin because of habitat alteration and potential effects of 3-trifluromethyl-4-nitrophenol (TFM), a chemical used to control Sea Lamprey (Petromyzon marinus). The purpose of our research was to assess Mudpuppy capture methods and abundance in the Lamoille River, Vermont, USA. We sampled Mudpuppies under a mark-recapture framework, using modified, baited minnow traps set during two winter-spring periods. We marked each Mudpuppy with a passive integrated transponder (PIT) tag and released individuals after collecting morphological measurements. We collected 80 individuals during 2,581 trap days in 2008–2009 (year 1), and 81 individuals during 3,072 trap days in 2009–2010 (year 2). We estimated abundance from spring trapping periods in 2009 and 2010, during which capture rates were sufficient for analysis. Capture probability was low (&lt; 0.04), but highest following precipitation events in spring, during periods of higher river flow, when water temperatures were approximately 3 to 6° C. During October 2009, management agencies treated the Lamoille River with TFM. Surveyors recovered more than 500 dead Mudpuppies during the post-treatment assessment. Overall, Mudpuppy captures did not change between sampling periods; however, we captured fewer females during year 2 compared to year 1, and the sex ratio changed from 0.79:1 (M:F) during year 1 to 3:1 (M:F) during year 2. Our data may help wildlife managers assess population status of Mudpuppies in conjunction with fisheries management techniques.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Chellman, I.C., Parrish, D.L., and Donovan, T., 2017, Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA: Herpetological Conservation and Biology, v. 12, no. 2, p. 422-434.","productDescription":"13 p.","startPage":"422","endPage":"434","ipdsId":"IP-056683","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lamoille River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.17598342895506,\n              44.630489423286996\n            ],\n            [\n              -73.16044807434082,\n              44.630489423286996\n            ],\n            [\n              -73.16044807434082,\n              44.63983415674708\n            ],\n            [\n              -73.17598342895506,\n              44.63983415674708\n            ],\n            [\n              -73.17598342895506,\n              44.630489423286996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e8e","contributors":{"authors":[{"text":"Chellman, Isaac C.","contributorId":200358,"corporation":false,"usgs":false,"family":"Chellman","given":"Isaac","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. tdonovan@usgs.gov","contributorId":2653,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese M.","email":"tdonovan@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":722046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192465,"text":"70192465 - 2017 - Wastewater disposal and the earthquake sequences during 2016 near Fairview, Pawnee, and Cushing, Oklahoma","interactions":[],"lastModifiedDate":"2017-10-31T14:26:35","indexId":"70192465","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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":"Wastewater disposal and the earthquake sequences during 2016 near Fairview, Pawnee, and Cushing, Oklahoma","docAbstract":"<p><span>Each of the three earthquake sequences in Oklahoma in 2016—Fairview, Pawnee, and Cushing—appears to have been induced by high-volume wastewater disposal within 10&nbsp;km. The Fairview&nbsp;</span><i>M</i><span>5.1 main shock was part of a 2&nbsp;year sequence of more than 150 events of<span>&nbsp;</span></span><i>M</i><span>3, or greater; the main shock accounted for about half of the total moment. The foreshocks and aftershocks of the<span>&nbsp;</span></span><i>M</i><span>5.8 Pawnee earthquake were too small and too few to contribute significantly to the cumulative moment; instead, nearly all of the moment induced by wastewater injection was focused on the main shock. The<span>&nbsp;</span></span><i>M</i><span>5.0 Cushing event is part of a sequence that includes 48 earthquakes of<span>&nbsp;</span></span><i>M</i><span>3, or greater, that are mostly foreshocks. The cumulative moment for each of the three sequences during 2016, as well as that for the 2011 Prague, Oklahoma, and nine other sequences representing a broad range of injected volume, are all limited by the total volumes of wastewater injected locally.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL075258","usgsCitation":"McGarr, A.F., and Barbour, A.J., 2017, Wastewater disposal and the earthquake sequences during 2016 near Fairview, Pawnee, and Cushing, Oklahoma: Geophysical Research Letters, v. 44, no. 18, p. 9330-9336, https://doi.org/10.1002/2017GL075258.","productDescription":"7 p.","startPage":"9330","endPage":"9336","ipdsId":"IP-088271","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075258","text":"Publisher Index Page"},{"id":347893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Cushing, Fairview, Pawnee","volume":"44","issue":"18","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-30","publicationStatus":"PW","scienceBaseUri":"59f98bb4e4b0531197af9fe1","contributors":{"authors":[{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":197158,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","email":"abarbour@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715986,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192569,"text":"70192569 - 2017 - Groundwater declines are linked to changes in Great Plains stream fish assemblages","interactions":[],"lastModifiedDate":"2017-10-26T13:09:59","indexId":"70192569","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater declines are linked to changes in Great Plains stream fish assemblages","docAbstract":"<p><span>Groundwater pumping for agriculture is a major driver causing declines of global freshwater ecosystems, yet the ecological consequences for stream fish assemblages are rarely quantified. We combined retrospective (1950–2010) and prospective (2011–2060) modeling approaches within a multiscale framework to predict change in Great Plains stream fish assemblages associated with groundwater pumping from the United States High Plains Aquifer. We modeled the relationship between the length of stream receiving water from the High Plains Aquifer and the occurrence of fishes characteristic of small and large streams in the western Great Plains at a regional scale and for six subwatersheds nested within the region. Water development at the regional scale was associated with construction of 154 barriers that fragment stream habitats, increased depth to groundwater and loss of 558 km of stream, and transformation of fish assemblage structure from dominance by large-stream to small-stream fishes. Scaling down to subwatersheds revealed consistent transformations in fish assemblage structure among western subwatersheds with increasing depths to groundwater. Although transformations occurred in the absence of barriers, barriers along mainstem rivers isolate depauperate western fish assemblages from relatively intact eastern fish assemblages. Projections to 2060 indicate loss of an additional 286 km of stream across the region, as well as continued replacement of large-stream fishes by small-stream fishes where groundwater pumping has increased depth to groundwater. Our work illustrates the shrinking of streams and homogenization of Great Plains stream fish assemblages related to groundwater pumping, and we predict similar transformations worldwide where local and regional aquifer depletions occur.</span></p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1618936114","usgsCitation":"Prekins, J.S., Gido, K.B., Falke, J.A., Fausch, K., Crockett, H., Johnson, E.R., and Sanderson, J., 2017, Groundwater declines are linked to changes in Great Plains stream fish assemblages: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 28, p. 7373-7378, https://doi.org/10.1073/pnas.1618936114.","productDescription":"6 p.","startPage":"7373","endPage":"7378","ipdsId":"IP-081390","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1618936114","text":"External Repository"},{"id":347468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, Kansas, Nebraska","otherGeospatial":"Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.3701171875,\n              39.13006024213511\n            ],\n            [\n              -99.47021484375,\n              39.13006024213511\n            ],\n            [\n              -99.47021484375,\n              41.19518982948959\n            ],\n            [\n              -104.3701171875,\n              41.19518982948959\n            ],\n            [\n              -104.3701171875,\n              39.13006024213511\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"114","issue":"28","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb72","contributors":{"authors":[{"text":"Prekins, Joshuah S.","contributorId":198486,"corporation":false,"usgs":false,"family":"Prekins","given":"Joshuah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":716236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":198488,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":716237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crockett, Harry","contributorId":198489,"corporation":false,"usgs":false,"family":"Crockett","given":"Harry","affiliations":[],"preferred":false,"id":716238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Eric R.","contributorId":198490,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":716240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192666,"text":"70192666 - 2017 - Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes","interactions":[],"lastModifiedDate":"2017-11-08T15:29:25","indexId":"70192666","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes","docAbstract":"<p><span>Monitoring animal populations can be difficult. Limited resources often force monitoring programs to rely on unadjusted or smoothed counts as an index of abundance. Smoothing counts is commonly done using a moving-average estimator to dampen sampling variation. These indices are commonly used to inform management decisions, although their reliability is often unknown. We outline a process to evaluate the biological plausibility of annual changes in population counts and indices from a typical monitoring scenario and compare results with a hierarchical Bayesian time series (HBTS) model. We evaluated spring and fall counts, fall indices, and model-based predictions for the Rocky Mountain population (RMP) of Sandhill Cranes (</span><i>Antigone canadensis</i><span>) by integrating juvenile recruitment, harvest, and survival into a stochastic stage-based population model. We used simulation to evaluate population indices from the HBTS model and the commonly used 3-yr moving average estimator. We found counts of the RMP to exhibit biologically unrealistic annual change, while the fall population index was largely biologically realistic. HBTS model predictions suggested that the RMP changed little over 31 yr of monitoring, but the pattern depended on assumptions about the observational process. The HBTS model fall population predictions were biologically plausible if observed crane harvest mortality was compensatory up to natural mortality, as empirical evidence suggests. Simulations indicated that the predicted mean of the HBTS model was generally a more reliable estimate of the true population than population indices derived using a moving 3-yr average estimator. Practitioners could gain considerable advantages from modeling population counts using a hierarchical Bayesian autoregressive approach. Advantages would include: (1) obtaining measures of uncertainty; (2) incorporating direct knowledge of the observational and population processes; (3) accommodating missing years of data; and (4) forecasting population size.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-137.1","usgsCitation":"Gerber, B.D., and Kendall, W., 2017, Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes: The Condor, v. 119, no. 2, p. 191-206, https://doi.org/10.1650/CONDOR-16-137.1.","productDescription":"16 p.","startPage":"191","endPage":"206","ipdsId":"IP-070023","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469556,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-137.1","text":"Publisher Index Page"},{"id":348494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b3e4b0dc0b45b45321","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192065,"text":"70192065 - 2017 - Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments","interactions":[],"lastModifiedDate":"2017-10-19T14:04:04","indexId":"70192065","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments","docAbstract":"<p><span>Nutritional ecology forms the interface between environmental variability and large herbivore behaviour, life history characteristics, and population dynamics. Forage conditions in arid and semi-arid regions are driven by unpredictable spatial and temporal patterns in rainfall. Diet selection by herbivores should be directed towards overcoming the most pressing nutritional limitation (i.e. energy, protein [nitrogen, N], moisture) within the constraints imposed by temporal and spatial variability in forage conditions. We investigated the influence of precipitation-induced shifts in forage nutritional quality and subsequent large herbivore responses across widely varying precipitation conditions in an arid environment. Specifically, we assessed seasonal changes in diet breadth and forage selection of adult female desert bighorn sheep&nbsp;</span><i>Ovis canadensis mexicana</i><span><span>&nbsp;</span>in relation to potential nutritional limitations in forage N, moisture and energy content (as proxied by dry matter digestibility, DMD). Succulents were consistently high in moisture but low in N and grasses were low in N and moisture until the wet period. Nitrogen and moisture content of shrubs and forbs varied among seasons and climatic periods, whereas trees had consistently high N and moderate moisture levels. Shrubs, trees and succulents composed most of the seasonal sheep diets but had little variation in DMD. Across all seasons during drought and during summer with average precipitation, forages selected by sheep were higher in N and moisture than that of available forage. Differences in DMD between sheep diets and available forage were minor. Diet breadth was lowest during drought and increased with precipitation, reflecting a reliance on few key forage species during drought. Overall, forage selection was more strongly associated with N and moisture content than energy content. Our study demonstrates that unlike north-temperate ungulates which are generally reported to be energy-limited, N and moisture may be more nutritionally limiting for desert ungulates than digestible energy.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.04282","usgsCitation":"Cain, J.W., Gedir, J.V., Marshal, J.P., Krausman, P.R., Allen, J.D., Duff, G.C., Jansen, B., and Morgart, J.R., 2017, Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments: Oikos, v. 126, no. 10, p. 1459-1471, https://doi.org/10.1111/oik.04282.","productDescription":"13 p.","startPage":"1459","endPage":"1471","ipdsId":"IP-072425","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":438201,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856CS","text":"USGS data release","linkHelpText":"Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments"},{"id":346983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Cabeza  Prieta  National  Wildlife  Refuge","volume":"126","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c56","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gedir, Jay V.","contributorId":171735,"corporation":false,"usgs":false,"family":"Gedir","given":"Jay","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":714069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshal, Jason P.","contributorId":197680,"corporation":false,"usgs":false,"family":"Marshal","given":"Jason","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Jamison D.","contributorId":171736,"corporation":false,"usgs":false,"family":"Allen","given":"Jamison","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duff, Glenn C.","contributorId":171737,"corporation":false,"usgs":false,"family":"Duff","given":"Glenn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jansen, Brian","contributorId":191917,"corporation":false,"usgs":false,"family":"Jansen","given":"Brian","email":"","affiliations":[],"preferred":false,"id":714074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morgart, John R.","contributorId":10891,"corporation":false,"usgs":true,"family":"Morgart","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714075,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192044,"text":"70192044 - 2017 - Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law","interactions":[],"lastModifiedDate":"2017-10-25T15:38:28","indexId":"70192044","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law","docAbstract":"<p><span>Adaptive governance must work “on the ground,” that is, it must operate through structures and procedures that the people it governs perceive to be legitimate and fair, as well as incorporating processes and substantive goals that are effective in allowing social-ecological systems (SESs) to adapt to climate change and other impacts. To address the continuing and accelerating alterations that climate change is bringing to SESs, adaptive governance generally will require more flexibility than prior governance institutions have often allowed. However, to function as good governance, adaptive governance must pay real attention to the problem of how to balance this increased need for flexibility with continuing governance stability so that it can foster adaptation to change without being perceived or experienced as perpetually destabilizing, disruptive, and unfair. Flexibility and stability serve different purposes in governance, and a variety of tools exist to strike different balances between them while still preserving the governance institution’s legitimacy among the people governed. After reviewing those purposes and the implications of climate change for environmental governance, we examine psychological insights into the structuring of adaptive governance and the variety of legal tools available to incorporate those insights into adaptive governance regimes. Because the substantive goals of governance systems will differ among specific systems, we do not purport to comment on what the normative or substantive goals of law should be. Instead, we conclude that attention to process and procedure (including participation), as well as increased use of substantive standards (instead of rules), may allow an increased level of substantive flexibility to operate with legitimacy and fairness, providing the requisite levels of psychological, social, and economic stability needed for communities to adapt successfully to the Anthropocene.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-08983-220203","usgsCitation":"Kundis Craig, R., Garmestani, A.S., Allen, C.R., Arnold, C.A., Birge, H.E., DeCaro, D.A., Fremier, A., Gosnell, H., and Schlager, E., 2017, Balancing stability and flexibility in adaptive governance: An analysis of tools available in U.S. environmental law: Ecology and Society, v. 22, no. 2, p. 1-15, https://doi.org/10.5751/ES-08983-220203.","productDescription":"Article 3; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-079618","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-08983-220203","text":"Publisher Index Page"},{"id":347406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f3e","contributors":{"authors":[{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":715859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":715869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeCaro, Daniel A.","contributorId":198374,"corporation":false,"usgs":false,"family":"DeCaro","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715871,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fremier, Alexander K.","contributorId":104403,"corporation":false,"usgs":true,"family":"Fremier","given":"Alexander K.","affiliations":[],"preferred":false,"id":715872,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gosnell, Hannah","contributorId":192214,"corporation":false,"usgs":false,"family":"Gosnell","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":715873,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlager, Edella","contributorId":197371,"corporation":false,"usgs":false,"family":"Schlager","given":"Edella","email":"","affiliations":[],"preferred":false,"id":715874,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192063,"text":"70192063 - 2017 - Diet composition, quality and overlap of sympatric American pronghorn and gemsbok","interactions":[],"lastModifiedDate":"2018-02-14T14:26:28","indexId":"70192063","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Diet composition, quality and overlap of sympatric American pronghorn and gemsbok","docAbstract":"<p><span>Species with a long evolutionary history of sympatry often have mechanisms for resource partitioning that reduce competition. However, introduced non-native ungulates often compete with native ungulates and competitive effects can be exacerbated in arid regions due to low primary productivity. Our objectives were to characterize diet composition, quality, and overlap between American pronghorn&nbsp;</span><i>Antilocapra americana</i><span><span>&nbsp;</span>and introduced non-native gemsbok<span>&nbsp;</span></span><i>Oryx</i><span><span>&nbsp;</span></span><i>gazella</i><span><span>&nbsp;</span>in southcentral New Mexico, USA. Severe drought occurred between 2010 and 2011, which allowed us to evaluate drought impacts on diet composition, quality, and overlap. Using feces collected from each species, we assessed diet composition and overlap with microhistological analysis and diet quality using fecal nitrogen (FN) and fecal 2,6-diaminopimelic acid (FDAPA). Pronghorn diet was primarily composed of shrubs in the cool—dry season (64.5%) then shifted to forbs in the warm—dry (64.7%) and warm—wet (54.1%) seasons. Pronghorn diet also shifted to shrubs during drought (50.7%). Gemsbok diets were evenly distributed across forage types. Fifty-three percent of the species of plants consumed by pronghorn and gemsbok were shared; diet overlap averaged 0.44 ± 0.06 (SE) and 0.49 ± 0.06 during the warm—dry seasons of 2010 and 2011, respectively. During drought, key forage species shared between pronghorn and gemsbok included yucca<span>&nbsp;</span></span><i>Yucca</i><span><span>&nbsp;</span>spp., prickly pear<span>&nbsp;</span></span><i>Opuntia</i><span><span>&nbsp;</span>spp., globemallow<span>&nbsp;</span></span><i>Sphaeralcea coccinea</i><span><span>&nbsp;</span>and horsenettle<span>&nbsp;</span></span><i>Solanum</i><span><span>&nbsp;</span></span><i>elaeagnifolium,</i><span><span>&nbsp;</span>comprising 50% of the pronghorn and 40% of the gemsbok diets. Fecal nitrogen and FDAPA decreased in pronghorn by 26% and 27% between the warm—dry season of 2010 (non-drought) and the warm—dry season of 2011 (drought), respectively. Drought had little effect on dietary quality for gemsbok. Gemsbok can use forage with lower nutritional content giving them an advantage over pronghorn, particularly during drought periods. Pronghorn are more dependent upon precipitation, which may be important to consider in light of increasing drought frequency associated with climate change.</span></p>","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00296","usgsCitation":"Cain, J.W., Avery, M.M., Caldwell, C.A., Abbott, L.B., and Holechek, J.L., 2017, Diet composition, quality and overlap of sympatric American pronghorn and gemsbok: Wildlife Biology, v. 2017, no. 1, p. 1-10, https://doi.org/10.2981/wlb.00296.","productDescription":"Article wlb.00296; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-079496","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00296","text":"Publisher Index Page"},{"id":346986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.69647216796874,\n              32.4031537914036\n            ],\n            [\n              -105.91644287109374,\n              32.4031537914036\n            ],\n            [\n              -105.91644287109374,\n              33.56199537293026\n            ],\n            [\n              -106.69647216796874,\n              33.56199537293026\n            ],\n            [\n              -106.69647216796874,\n              32.4031537914036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2017","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c5a","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avery, Mindi M.","contributorId":197681,"corporation":false,"usgs":false,"family":"Avery","given":"Mindi","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abbott, Laurie B.","contributorId":57352,"corporation":false,"usgs":true,"family":"Abbott","given":"Laurie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":714077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holechek, Jerry L.","contributorId":197682,"corporation":false,"usgs":false,"family":"Holechek","given":"Jerry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192078,"text":"70192078 - 2017 - Breeding behavior of northern saw-whet owls in Oregon","interactions":[],"lastModifiedDate":"2017-10-19T15:40:35","indexId":"70192078","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Breeding behavior of northern saw-whet owls in Oregon","docAbstract":"<p><span>We know little about the breeding behavior of most nocturnal raptors. Nest attendance and prey delivery rates can be used as indices of relative habitat quality or extent of parental care. We used video cameras to document and observe prey delivery rates, nest attendance and bout durations at two northern saw-whet owl (</span><i>Aegolius acadicus</i><span>) nests in two artificial nest boxes in north-central Oregon. We collected 858 hours of video surveillance between 21 March and 01 June 2014. The number of prey deliveries per night increased as the nesting season progressed: 1.25 during laying, 1.33 during incubation, and 4.0 during the nestling phase. Prey was delivered most often between 2100 and 2200. Nest attendance by females was high during pre-laying (97.8%), laying (97.9%) and incubation (98.2%), but decreased during the nestling phase (55.7%). Nest attendance was higher during diurnal hours than nocturnal hours across all nesting phases. Duration of off bouts (recesses) was similar during pre-laying and laying (26 min), decreased during incubation (19 min), then increased during the nestling phase (55 min). One of the nesting attempts was successful and the female abandoned the other clutch 22 days after initiation. The incubation and nestling periods were 30 days each.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.091.0211","usgsCitation":"McCullough, J.M., and Conway, C.J., 2017, Breeding behavior of northern saw-whet owls in Oregon: Northwest Science, v. 91, no. 2, p. 222-227, https://doi.org/10.3955/046.091.0211.","productDescription":"6 p.","startPage":"222","endPage":"227","ipdsId":"IP-074300","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"91","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b992e4b05fe04cd65c4e","contributors":{"authors":[{"text":"McCullough, Jenna M.","contributorId":197740,"corporation":false,"usgs":false,"family":"McCullough","given":"Jenna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192045,"text":"70192045 - 2017 - Regime shifts and panarchies in regional scale social-ecological water systems","interactions":[],"lastModifiedDate":"2017-10-24T16:33:22","indexId":"70192045","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Regime shifts and panarchies in regional scale social-ecological water systems","docAbstract":"<div id=\"abstract_block\">In this article we summarize histories of nonlinear, complex interactions among societal, legal, and ecosystem dynamics in six North American water basins, as they respond to changing climate. These case studies were chosen to explore the conditions for emergence of adaptive governance in heavily regulated and developed social-ecological systems nested within a hierarchical governmental system. We summarize resilience assessments conducted in each system to provide a synthesis and reference by the other articles in this special feature. We also present a general framework used to evaluate the interactions between society and ecosystem regimes and the governance regimes chosen to mediate those interactions. The case studies show different ways that adaptive governance may be triggered, facilitated, or constrained by ecological and/or legal processes. The resilience assessments indicate that complex interactions among the governance and ecosystem components of these systems can produce different trajectories, which include patterns of (a) development and stabilization, (b) cycles of crisis and recovery, which includes lurches in adaptation and learning, and (3) periods of innovation, novelty, and transformation. Exploration of cross scale (Panarchy) interactions among levels and sectors of government and society illustrate that they may constrain development trajectories, but may also provide stability during crisis or innovation at smaller scales; create crises, but may also facilitate recovery; and constrain system transformation, but may also provide windows of opportunity in which transformation, and the resources to accomplish it, may occur. The framework is the starting point for our exploration of how law might play a role in enhancing the capacity of social-ecological systems to adapt to climate change.</div>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-08879-220131","usgsCitation":"Gunderson, L., Cosens, B., Chaffin, B.C., Arnold, C.A., Fremier, A., Garmestani, A.S., Kundis Craig, R., Gosnell, H., Birge, H.E., Allen, C.R., Benson, M.H., Morrison, R.R., Stone, M., Hamm, J.A., Nemec, K.T., Schlager, E., and Llewellyn, D., 2017, Regime shifts and panarchies in regional scale social-ecological water systems: Ecology and Society, v. 22, no. 1, p. 1-12, https://doi.org/10.5751/ES-08879-220131.","productDescription":"Article 31; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-081137","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-08879-220131","text":"Publisher Index Page"},{"id":347294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d7d","contributors":{"authors":[{"text":"Gunderson, Lance","contributorId":30797,"corporation":false,"usgs":true,"family":"Gunderson","given":"Lance","affiliations":[],"preferred":false,"id":715463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosens, Barbara","contributorId":166744,"corporation":false,"usgs":false,"family":"Cosens","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":715464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":715466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fremier, Alexander K.","contributorId":104403,"corporation":false,"usgs":true,"family":"Fremier","given":"Alexander K.","affiliations":[],"preferred":false,"id":715467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":715469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gosnell, Hannah","contributorId":48042,"corporation":false,"usgs":true,"family":"Gosnell","given":"Hannah","affiliations":[],"preferred":false,"id":715470,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715471,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714004,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Benson, Melinda H.","contributorId":54090,"corporation":false,"usgs":true,"family":"Benson","given":"Melinda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":715472,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morrison, Ryan R.","contributorId":198245,"corporation":false,"usgs":false,"family":"Morrison","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715473,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stone, Mark","contributorId":34335,"corporation":false,"usgs":true,"family":"Stone","given":"Mark","email":"","affiliations":[],"preferred":false,"id":715474,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hamm, Joseph A.","contributorId":197369,"corporation":false,"usgs":false,"family":"Hamm","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715475,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nemec, Kristine T.","contributorId":24650,"corporation":false,"usgs":true,"family":"Nemec","given":"Kristine","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":715476,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schlager, Edella","contributorId":197371,"corporation":false,"usgs":false,"family":"Schlager","given":"Edella","email":"","affiliations":[],"preferred":false,"id":715477,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Llewellyn, Dagmar","contributorId":187469,"corporation":false,"usgs":false,"family":"Llewellyn","given":"Dagmar","email":"","affiliations":[],"preferred":false,"id":715478,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70192157,"text":"70192157 - 2017 - Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  Mw 8.3 Tokachi‐Oki earthquake","interactions":[],"lastModifiedDate":"2017-10-23T14:06:59","indexId":"70192157","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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}},"displayTitle":"Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  M<sub>w</sub> 8.3 Tokachi‐Oki earthquake","title":"Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  Mw 8.3 Tokachi‐Oki earthquake","docAbstract":"<p><span>We compare broadband synthetic seismograms with recordings of the 2003&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"msub\"><span><span><span id=\"MathJax-Span-14\" class=\"mi\">M</span></span><span><span id=\"MathJax-Span-15\" class=\"mi\">w</span></span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;8.3 Tokachi‐Oki earthquake to evaluate a compound rupture model, in which slip on the fault consists of multiple high‐stress‐drop asperities superimposed on a background slip distribution with longer rise times. Low‐frequency synthetics (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-16\" class=\"math\"><span><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-19\" class=\"mn\">1</span><span id=\"MathJax-Span-20\" class=\"mtext\">  </span><span id=\"MathJax-Span-21\" class=\"mi\">Hz</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;1  Hz</span></span></span><span>) are calculated using deterministic, 3D finite‐difference simulations and are combined with high‐frequency (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-25\" class=\"mn\">1</span><span id=\"MathJax-Span-26\" class=\"mtext\">  </span><span id=\"MathJax-Span-27\" class=\"mi\">Hz</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&gt;1  Hz</span></span></span><span>) stochastic synthetics using a matched filter at 1&nbsp;Hz. We show that this compound rupture model and overall approach accurately reproduces waveform envelopes and observed response spectral accelerations (SAs) from the Tokachi‐Oki event. We find that sufficiently short subfault rise times (i.e.,<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;lt;</mo><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>2</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-28\" class=\"math\"><span><span><span id=\"MathJax-Span-29\" class=\"mrow\"><span id=\"MathJax-Span-30\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-31\" class=\"mo\">∼</span><span id=\"MathJax-Span-32\" class=\"mn\">1</span><span id=\"MathJax-Span-33\" class=\"mo\">–</span><span id=\"MathJax-Span-34\" class=\"mn\">2</span><span id=\"MathJax-Span-35\" class=\"mtext\">  </span><span id=\"MathJax-Span-36\" class=\"mi\">s</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;∼1–2  s</span></span></span><span>) are necessary to reproduce energy<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-37\" class=\"math\"><span><span><span id=\"MathJax-Span-38\" class=\"mrow\"><span id=\"MathJax-Span-39\" class=\"mo\">∼</span><span id=\"MathJax-Span-40\" class=\"mn\">1</span><span id=\"MathJax-Span-41\" class=\"mtext\">  </span><span id=\"MathJax-Span-42\" class=\"mi\">Hz</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">∼1  Hz</span></span></span><span>. This is achieved by either (1)&nbsp;including distinct subevents with short rise times, as may be suggested by the Tokachi‐Oki data, or (2)&nbsp;imposing a fast‐slip velocity over the entire rupture area. We also include a systematic study on the effects of varying several kinematic rupture parameters. We find that simulated strong ground motions are sensitive to the average rupture velocity and coherence of the rupture front, with more coherent ruptures yielding higher response SAs. We also assess the effects of varying the average slip velocity and the character (i.e., area, magnitude, and location) of high‐stress‐drop subevents. Even in the absence of precise constraints on these kinematic rupture parameters, our simulations still reproduce major features in the Tokachi‐Oki earthquake data, supporting its accuracy in modeling future large earthquakes.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170065","usgsCitation":"Wirth, E.A., Frankel, A.D., and Vidale, J.E., 2017, Evaluating a kinematic method for generating broadband ground motions for great subduction zone earthquakes: Application to the 2003  Mw 8.3 Tokachi‐Oki earthquake: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1737-1753, https://doi.org/10.1785/0120170065.","productDescription":"17 p.","startPage":"1737","endPage":"1753","ipdsId":"IP-082673","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              141.9873046875,\n              41.430371882652814\n            ],\n            [\n              144.8272705078125,\n              41.430371882652814\n            ],\n            [\n              144.8272705078125,\n              43.50075243569041\n            ],\n            [\n              141.9873046875,\n              43.50075243569041\n            ],\n            [\n              141.9873046875,\n              41.430371882652814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f69","contributors":{"authors":[{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":714475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John E.","contributorId":197866,"corporation":false,"usgs":false,"family":"Vidale","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":714476,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191519,"text":"70191519 - 2017 - Salvator merianae (Argentine Tegu). Attempted Predation.","interactions":[],"lastModifiedDate":"2017-10-16T14:04:10","indexId":"70191519","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Salvator merianae (Argentine Tegu). Attempted Predation.","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Herpetological Review","usgsCitation":"Hanslowe, E., Calafiore, C.V., Sykes, K.N., Van Ee, N., Falk, B., Yackel, A., and Reed, R., 2017, Salvator merianae (Argentine Tegu). Attempted Predation.: Herpetological Review, v. 48, no. 3, p. 659-660.","productDescription":"2 p.","startPage":"659","endPage":"660","ipdsId":"IP-084830","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9d4","contributors":{"authors":[{"text":"Hanslowe, Emma 0000-0003-4331-6729 ehanslowe@usgs.gov","orcid":"https://orcid.org/0000-0003-4331-6729","contributorId":177611,"corporation":false,"usgs":true,"family":"Hanslowe","given":"Emma","email":"ehanslowe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calafiore, Charles V.","contributorId":197100,"corporation":false,"usgs":false,"family":"Calafiore","given":"Charles","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":712574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sykes, Kathryn N.","contributorId":197101,"corporation":false,"usgs":false,"family":"Sykes","given":"Kathryn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":712575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Ee, Noah 0000-0003-2214-7890 nvanee@usgs.gov","orcid":"https://orcid.org/0000-0003-2214-7890","contributorId":197102,"corporation":false,"usgs":true,"family":"Van Ee","given":"Noah","email":"nvanee@usgs.gov","affiliations":[],"preferred":true,"id":712576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel, Amy 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":152310,"corporation":false,"usgs":true,"family":"Yackel","given":"Amy","email":"yackela@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712579,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712578,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191677,"text":"70191677 - 2017 - Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","interactions":[],"lastModifiedDate":"2017-10-17T16:35:32","indexId":"70191677","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures","docAbstract":"<p><span>Responses in lake temperatures to climate warming have primarily been characterized using seasonal metrics of surface-water temperatures such as summertime or stratified period average temperatures. However, climate warming may not affect water temperatures equally across seasons or depths. We analyzed a long-term dataset (1981–2015) of biweekly water temperature data in six temperate lakes in Wisconsin, U.S.A. to understand (1) variability in monthly rates of surface- and deep-water warming, (2) how those rates compared to summertime average trends, and (3) if monthly heterogeneity in water temperature trends can be predicted by heterogeneity in air temperature trends. Monthly surface-water temperature warming rates varied across the open-water season, ranging from 0.013 in August to 0.073°C yr</span><sup>−1</sup><span><span>&nbsp;</span>in September (standard deviation [SD]: 0.025°C yr</span><sup>−1</sup><span>). Deep-water trends during summer varied less among months (SD: 0.006°C yr</span><sup>−1</sup><span>), but varied broadly among lakes (–0.056°C yr</span><sup>−1</sup><span><span>&nbsp;</span>to 0.035°C yr</span><sup>−1</sup><span>, SD: 0.034°C yr</span><sup>−1</sup><span>). Trends in monthly surface-water temperatures were well correlated with air temperature trends, suggesting monthly air temperature trends, for which data exist at broad scales, may be a proxy for seasonal patterns in surface-water temperature trends during the open water season in lakes similar to those studied here. Seasonally variable warming has broad implications for how ecological processes respond to climate change, because phenological events such as fish spawning and phytoplankton succession respond to specific, seasonal temperature cues.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.10557","usgsCitation":"Winslow, L., Read, J.S., Hansen, G.J., Rose, K., and Robertson, D.M., 2017, Seasonality of change: Summer warming rates do not fully represent effects of climate change on lake temperatures: Limnology and Oceanography, v. 62, no. 5, p. 2168-2178, https://doi.org/10.1002/lno.10557.","productDescription":"11 p.","startPage":"2168","endPage":"2178","ipdsId":"IP-074340","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":469470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10557","text":"Publisher Index Page"},{"id":346756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"62","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd33188","contributors":{"authors":[{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":713035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":713036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Kevin C.","contributorId":64580,"corporation":false,"usgs":true,"family":"Rose","given":"Kevin C.","affiliations":[],"preferred":false,"id":713037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713038,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191559,"text":"70191559 - 2017 - Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States","interactions":[],"lastModifiedDate":"2017-10-17T10:52:48","indexId":"70191559","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States","docAbstract":"<p><span>In the Central United States, the Arkansas darter (</span><i>Etheostoma cragini</i><span>) is listed as a threatened fish species by the State of Kansas. Survival of the darter is threatened by loss of habitat caused by changing streamflow conditions, in particular flow depletion. Future management of darter populations and habitats requires an understanding of streamflow conditions and how those conditions may have changed over time in response to natural and anthropogenic factors. In Kansas, streamflow alteration was assessed at 9 U.S. Geological Survey streamgages in 6 priority basins with no pronounced long-term trends in precipitation. The assessment was based on a comparison of observed (O) and predicted expected (E) reference conditions for 29 flow metrics. The O/E results indicated a likely or possible diminished flow condition in 2 basins; the primary cause of which is groundwater-level declines resulting from groundwater pumping for irrigated agriculture. In these 2 basins, habitat characteristics adversely affected by flow depletion may include stream connectivity, pools, and water temperature. The other 4 basins were minimally affected, or unaffected, by flow depletion and therefore may provide the best opportunity for preservation of darter habitat. Through the O/E analysis, anthropogenic streamflow alteration was quantified and the results will enable better-informed decisions pertaining to the future management of darters in Kansas.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3148","usgsCitation":"Juracek, K.E., Eng, K., Carlisle, D.M., and Wolock, D.M., 2017, Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States: River Research and Applications, v. 33, no. 7, p. 993-1003, https://doi.org/10.1002/rra.3148.","productDescription":"11 p.","startPage":"993","endPage":"1003","ipdsId":"IP-079134","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":346677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102,\n              37\n            ],\n            [\n              -97,\n              37\n            ],\n            [\n              -97,\n              38.5\n            ],\n            [\n              -102,\n              38.5\n            ],\n            [\n              -102,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd3318c","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":712764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":712765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":712766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191418,"text":"70191418 - 2017 - Martian cave air-movement via Helmholtz resonance","interactions":[],"lastModifiedDate":"2017-10-11T14:31:36","indexId":"70191418","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5512,"text":"International Journal of Speleology","active":true,"publicationSubtype":{"id":10}},"title":"Martian cave air-movement via Helmholtz resonance","docAbstract":"<p><span>Infrasonic resonance has previously been measured in terrestrial caves by other researchers, where Helmholtz resonance has been suggested as the plausible mechanism resulting in periodic wind reversals within cave entrances. We extend this reasoning to possible Martian caves, where we examine the characteristics of four atypical pit craters (APCs) on Tharsis, suggested as candidate cave entrance locations. The results show that, for several possible cave air movement periods, we are able to infer the approximate cave volumes. The utility of inferring cave volumes for planetary cave exploration is discussed.</span></p>","language":"English","publisher":"University of South Florida","doi":"10.5038/1827-806X.46.3.2130","usgsCitation":"Williams, K.E., Titus, T.N., Okubo, C., and Cushing, G.E., 2017, Martian cave air-movement via Helmholtz resonance: International Journal of Speleology, v. 46, no. 3, p. 493-444, https://doi.org/10.5038/1827-806X.46.3.2130.","productDescription":"6 p.","startPage":"493","endPage":"444","ipdsId":"IP-085454","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5038/1827-806x.46.3.2130","text":"Publisher Index Page"},{"id":346513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59defbb4e4b05fe04ccd3d49","contributors":{"authors":[{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushing, Glen E. 0000-0002-9673-8207 gcushing@usgs.gov","orcid":"https://orcid.org/0000-0002-9673-8207","contributorId":175449,"corporation":false,"usgs":true,"family":"Cushing","given":"Glen","email":"gcushing@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196366,"text":"70196366 - 2017 - Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","interactions":[],"lastModifiedDate":"2018-04-04T11:10:12","indexId":"70196366","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Restricted gene flow between resident <i>Oncorhynchus mykiss</i> and an admixed population of anadromous steelhead","title":"Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead","docAbstract":"<p><span>The species&nbsp;</span><i>Oncorhynchus mykiss</i><span><span>&nbsp;</span>is characterized by a complex life history that presents a significant challenge for population monitoring and conservation management. Many factors contribute to genetic variation in<span>&nbsp;</span></span><i>O.&nbsp;mykiss</i><span><span>&nbsp;</span>populations, including sympatry among migratory phenotypes, habitat heterogeneity, hatchery introgression, and immigration (stray) rates. The relative influences of these and other factors are contingent on characteristics of the local environment. The Rock Creek subbasin in the middle Columbia River has no history of hatchery supplementation and no dams or artificial barriers. Limited intervention and minimal management have led to a dearth of information regarding the genetic distinctiveness of the extant<span>&nbsp;</span></span><i>O.&nbsp;mykiss</i><span><span>&nbsp;</span>population in Rock Creek and its tributaries. We used 192 SNP markers and collections sampled over a 5‐year period to evaluate the temporal and spatial genetic structures of<span>&nbsp;</span></span><i>O.&nbsp;mykiss</i><span>between upper and lower watersheds of the Rock Creek subbasin. We investigated potential limits to gene flow within the lower watershed where the stream is fragmented by seasonally dry stretches of streambed, and between upper and lower watershed regions. We found minor genetic differentiation within the lower watershed occupied by anadromous steelhead (</span><i>F</i><sub>ST</sub><span>&nbsp;=&nbsp;0.004), and evidence that immigrant influences were prevalent and ubiquitous. Populations in the upper watershed above partial natural barriers were highly distinct (</span><i>F</i><sub>ST</sub><span>&nbsp;=&nbsp;0.093) and minimally impacted by apparent introgression. Genetic structure between watersheds paralleled differences in local demographics (e.g., variation in size), migratory restrictions, and habitat discontinuity. The evidence of restricted gene flow between putative remnant resident populations in the upper watershed and the admixed anadromous population in the lower watershed has implications for local steelhead productivity and regional conservation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3338","usgsCitation":"Matala, A.P., Allen, B., Narum, S.R., and Harvey, E., 2017, Restricted gene flow between resident Oncorhynchus mykiss and an admixed population of anadromous steelhead: Ecology and Evolution, v. 7, no. 20, p. 8349-8362, https://doi.org/10.1002/ece3.3338.","productDescription":"14 p.","startPage":"8349","endPage":"8362","ipdsId":"IP-062941","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3338","text":"Publisher Index Page"},{"id":353139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Rock Creek Subbasin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.6470489501953,\n              45.703302146999036\n            ],\n            [\n              -120.36552429199217,\n              45.703302146999036\n            ],\n            [\n              -120.36552429199217,\n              45.96356082681656\n            ],\n            [\n              -120.6470489501953,\n              45.96356082681656\n            ],\n            [\n              -120.6470489501953,\n              45.703302146999036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"5afee7dfe4b0da30c1bfc395","contributors":{"authors":[{"text":"Matala, Andrew P.","contributorId":167147,"corporation":false,"usgs":false,"family":"Matala","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":732622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Brady ballen@usgs.gov","contributorId":147932,"corporation":false,"usgs":true,"family":"Allen","given":"Brady","email":"ballen@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Narum, Shawn R.","contributorId":167146,"corporation":false,"usgs":false,"family":"Narum","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":732623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Elaine","contributorId":203907,"corporation":false,"usgs":false,"family":"Harvey","given":"Elaine","email":"","affiliations":[{"id":36750,"text":"Yakama Nation Fisheries, 4 Bickleton Hwy, Goldendale, WA 98620","active":true,"usgs":false}],"preferred":false,"id":732624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194101,"text":"70194101 - 2017 - 3-D simulations of M9 earthquakes on the Cascadia Megathrust: Key parameters and uncertainty","interactions":[],"lastModifiedDate":"2018-02-02T09:51:28","indexId":"70194101","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"3-D simulations of M9 earthquakes on the Cascadia Megathrust: Key parameters and uncertainty","docAbstract":"<p><span>Geologic and historical records indicate that the Cascadia subduction zone is capable of generating large, megathrust earthquakes up to magnitude 9. The last great Cascadia earthquake occurred in 1700, and thus there is no direct measure on the intensity of ground shaking or specific rupture parameters from seismic recordings. We use 3-D numerical simulations to generate broadband (0-10 Hz) synthetic seismograms for 50 M9 rupture scenarios on the Cascadia megathrust. Slip consists of multiple high-stress drop subevents (~M8) with short rise times on the deeper portion of the fault, superimposed on a background slip distribution with longer rise times. We find a &gt;4x variation in the intensity of ground shaking depending upon several key parameters, including the down-dip limit of rupture, the slip distribution and location of strong-motion-generating subevents, and the hypocenter location. We find that extending the down-dip limit of rupture to the top of the non-volcanic tremor zone results in a ~2-3x increase in peak ground acceleration for the inland city of Seattle, Washington, compared to a completely offshore rupture. However, our simulations show that allowing the rupture to extend to the up-dip limit of tremor (i.e., the deepest rupture extent in the National Seismic Hazard Maps), even when tapering the slip to zero at the down-dip edge, results in multiple areas of coseismic coastal uplift. This is inconsistent with coastal geologic evidence (e.g., buried soils, submerged forests), which suggests predominantly coastal subsidence for the 1700 earthquake and previous events. Defining the down-dip limit of rupture as the 1 cm/yr locking contour (i.e., mostly offshore) results in primarily coseismic subsidence at coastal sites. We also find that the presence of deep subevents can produce along-strike variations in subsidence and ground shaking along the coast. Our results demonstrate the wide range of possible ground motions from an M9 megathrust earthquake in Cascadia, and the potential to further constrain key rupture parameters using geologic and geophysical observations, ultimately improving our estimation of seismic hazard associated with the Cascadia megathrust.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 11th National Conference in Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Proceedings of the 11th National Conference in Earthquake Engineering","doi":"10.1130/abs/2017AM-300968","usgsCitation":"Wirth, E., Frankel, A.D., Vidale, J., Marafi, N.A., and Stephenson, W.J., 2017, 3-D simulations of M9 earthquakes on the Cascadia Megathrust: Key parameters and uncertainty, <i>in</i> Proceedings of the 11th National Conference in Earthquake Engineering, v. 49, no. 6, https://doi.org/10.1130/abs/2017AM-300968.","ipdsId":"IP-092455","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":350910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743586e4b0a9a2e9e25cab","contributors":{"authors":[{"text":"Wirth, Erin","contributorId":171734,"corporation":false,"usgs":false,"family":"Wirth","given":"Erin","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":722104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":722105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":722106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":722107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194323,"text":"70194323 - 2017 - Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2017-11-22T13:43:20","indexId":"70194323","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","docAbstract":"<p><span>The disturbance history, plant species composition, productivity, and structural complexity of a site can exert bottom-up controls on arthropod diversity, abundance, and trophic structure. Regulation alters the hydrology and disturbance regimes of rivers and affects riparian habitats by changing plant quality parameters. Fifty years of regulation along the Colorado River downstream of Glen Canyon Dam has created a no-analog, postdam “lower” riparian zone close to the water's edge that includes tamarisk (</span><i>Tamarix</i><span><span>&nbsp;</span>sp.), a nonnative riparian shrub. At the same time, the predam “upper” facultative riparian zone has persisted several meters above the current flood stage. In summer 2009, we used pitfall traps within these 2 riparian zones that differ in plant composition, productivity, and disturbance frequency to test for differences in arthropod community (Hymenoptera, Arachnida, and Coleoptera) structure. Arthropod community structure differed substantially between the 2 zones. Arthropod abundance and species richness was highest in the predam upper riparian zone, even though there was a greater amount of standing plant biomass in the postdam lower riparian zone. Omnivore abundance was proportionately greater in the upper riparian zone and was associated with lower estimated productivity values. Predators and detritivores were proportionately greater in the postdam lower riparian zone. In this case, river regulation may create habitats that support species of spiders and carabid beetles, but few other species that are exclusive to this zone. The combined richness found in both zones suggests a small increase in total richness and functional diversity for the Glen Canyon reach of the Colorado River.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0309","usgsCitation":"Ralston, B., Cobb, N.S., Brantley, S.L., Higgins, J., and Yackulic, C.B., 2017, Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA: Western North American Naturalist, v. 77, no. 3, p. 369-384, https://doi.org/10.3398/064.077.0309.","productDescription":"16 p.","startPage":"369","endPage":"384","ipdsId":"IP-026020","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488818,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss3/8","text":"External Repository"},{"id":438202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154FH8","text":"USGS data release","linkHelpText":"Ground-dwelling arthropods along the Colorado River in Arizona, USAData"},{"id":349285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.08203125,\n              35.65729624809628\n            ],\n            [\n              -111.3134765625,\n              35.65729624809628\n            ],\n            [\n              -111.3134765625,\n              36.98500309285596\n            ],\n            [\n              -114.08203125,\n              36.98500309285596\n            ],\n            [\n              -114.08203125,\n              35.65729624809628\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e14","contributors":{"authors":[{"text":"Ralston, Barbara 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":195797,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":723301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, Sandra L.","contributorId":200777,"corporation":false,"usgs":false,"family":"Brantley","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgins, Jacob","contributorId":200775,"corporation":false,"usgs":false,"family":"Higgins","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":723302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192052,"text":"70192052 - 2017 - Enhancing hatch rate and survival in laboratory-reared hybrid Devils Hole Pupfish through application of antibiotics to eggs and larvae","interactions":[],"lastModifiedDate":"2017-10-23T16:38:54","indexId":"70192052","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing hatch rate and survival in laboratory-reared hybrid Devils Hole Pupfish through application of antibiotics to eggs and larvae","docAbstract":"<p><span>We evaluated the effectiveness of four antibiotics in enhancing the hatch rate, larval survival, and adult survival of hybrid Devils Hole Pupfish&nbsp;</span><i>Cyprinodon diabolis</i><span><span>&nbsp;</span>(hybridized with Ash Meadows Amargosa Pupfish<span>&nbsp;</span></span><i>C. nevadensis mionectes</i><span>). Cephalexin (CEX; concentration = 6.6 mg/L of water), chloramphenicol (CAM; 50 mg/L), erythromycin (ERY; 12.5 mg/L), and trimethoprim sulfamethoxazole (TMP-SMX; 25 mg/L) were applied as a constant bath either to incubating eggs or to larvae that hatched from untreated eggs. Hatch rate was roughly doubled by incubation in the presence of CAM (68% hatch) and TMP-SMX (66%) relative to the control (28%). Cephalexin and ERY conferred no benefit upon the hatch rate. Among fry that hatched from treated eggs, there was no increase in 15-d larval survival. However, fish that hatched from eggs treated with CAM, ERY, and TMP-SMX demonstrated enhanced survival at 360 d (51.2, 38.4, and 43.6%, respectively) and at 540 d (22.6, 6.8, and 20.2%, respectively); the untreated control had no survivors to those time points. All groups of eggs treated with antibiotics showed reductions in bacterial colony-forming units (CFUs) at 24 h posttreatment. At 120 h posttreatment, CEX-treated eggs had CFU counts similar to those of the control, whereas the TMP-SMX-treated eggs had the lowest CFU counts. Eggs treated with CAM and ERY had similar CFU counts, which were significantly reduced from the control counts. Larvae that were treated with CAM and TMP-SMX within 12 h posthatch showed enhanced 15-d survival (74% and 72%, respectively) in comparison with the control (56%). For pupfish rearing efforts in which antibiotic use is appropriate, CAM and TMP-SMX appear to provide the greatest benefit, particularly when applied to incubating eggs rather than to hatched larvae.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1240123","usgsCitation":"Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2017, Enhancing hatch rate and survival in laboratory-reared hybrid Devils Hole Pupfish through application of antibiotics to eggs and larvae: North American Journal of Aquaculture, v. 79, no. 1, p. 106-114, https://doi.org/10.1080/15222055.2016.1240123.","productDescription":"9 p.","startPage":"106","endPage":"114","ipdsId":"IP-081149","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f75","contributors":{"authors":[{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":715003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715004,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191363,"text":"70191363 - 2017 - A fault‐based model for crustal deformation in the western United States based on a combined inversion of GPS and geologic inputs","interactions":[],"lastModifiedDate":"2018-03-28T14:55:47","indexId":"70191363","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A fault‐based model for crustal deformation in the western United States based on a combined inversion of GPS and geologic inputs","docAbstract":"<p><span>We develop a crustal deformation model to determine fault‐slip rates for the western United States (WUS) using the&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf42\">Zeng and Shen (2014)</a><span><span>&nbsp;</span>method that is based on a combined inversion of Global Positioning System (GPS) velocities and geological slip‐rate constraints. The model consists of six blocks with boundaries aligned along major faults in California and the Cascadia subduction zone, which are represented as buried dislocations in the Earth. Faults distributed within blocks have their geometrical structure and locking depths specified by the Uniform California Earthquake Rupture Forecast, version 3 (UCERF3) and the 2008 U.S. Geological Survey National Seismic Hazard Map Project model. Faults slip beneath a predefined locking depth, except for a few segments where shallow creep is allowed. The slip rates are estimated using a least‐squares inversion. The model resolution analysis shows that the resulting model is influenced heavily by geologic input, which fits the UCERF3 geologic bounds on California B faults and ±one‐half of the geologic slip rates for most other WUS faults. The modeled slip rates for the WUS faults are consistent with the observed GPS velocity field. Our fit to these velocities is measured in terms of a normalized chi‐square, which is 6.5. This updated model fits the data better than most other geodetic‐based inversion models. Major discrepancies between well‐resolved GPS inversion rates and geologic‐consensus rates occur along some of the northern California A faults, the Mojave to San Bernardino segments of the San Andreas fault, the western Garlock fault, the southern segment of the Wasatch fault, and other faults. Off‐fault strain‐rate distributions are consistent with regional tectonics, with a total off‐fault moment rate of<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>7.2</mn><mo xmlns=&quot;&quot;>&amp;#xD7;</mo><msup xmlns=&quot;&quot;><mn>10</mn><mn>18</mn></msup></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mn\">7.2</span><span id=\"MathJax-Span-4\" class=\"mo\">×</span><span id=\"MathJax-Span-5\" class=\"msup\"><span><span><span id=\"MathJax-Span-6\" class=\"mn\">10</span></span><sup><span><span id=\"MathJax-Span-7\" class=\"mn\">18&nbsp;</span></span></sup></span></span></span></span></span></span></span></span><span>and<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>8.5</mn><mo xmlns=&quot;&quot;>&amp;#xD7;</mo><msup xmlns=&quot;&quot;><mn>10</mn><mn>18</mn></msup><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>N</mi><mo xmlns=&quot;&quot; lspace=&quot;0em&quot; rspace=&quot;0em&quot;>&amp;#xB7;</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>year</mi></math>\"><span id=\"MathJax-Span-8\" class=\"math\"><span><span><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mn\">8.5</span><span id=\"MathJax-Span-11\" class=\"mo\">×</span><span id=\"MathJax-Span-12\" class=\"msup\"><span><span><span id=\"MathJax-Span-13\" class=\"mn\">10</span></span><sup><span><span id=\"MathJax-Span-14\" class=\"mn\">18</span></span></sup></span></span><span id=\"MathJax-Span-15\" class=\"mtext\">  </span><span id=\"MathJax-Span-16\" class=\"mi\">N</span><span id=\"MathJax-Span-17\" class=\"mo\">⋅</span><span id=\"MathJax-Span-18\" class=\"mi\">m</span><span id=\"MathJax-Span-19\" class=\"mo\">/</span><span id=\"MathJax-Span-20\" class=\"mi\">year</span></span></span></span></span></span></span><span><span>&nbsp;</span>for California and the WUS outside California, respectively.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150362","usgsCitation":"Zeng, Y., and Shen, Z., 2017, A fault‐based model for crustal deformation in the western United States based on a combined inversion of GPS and geologic inputs: Bulletin of the Seismological Society of America, v. 107, no. 6, p. 2597-2612, https://doi.org/10.1785/0120150362.","productDescription":"16 p.","startPage":"2597","endPage":"2612","ipdsId":"IP-077581","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-10","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3a7","contributors":{"authors":[{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Zheng-Kang","contributorId":196962,"corporation":false,"usgs":false,"family":"Shen","given":"Zheng-Kang","email":"","affiliations":[],"preferred":false,"id":712094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194544,"text":"70194544 - 2017 - Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage","interactions":[],"lastModifiedDate":"2017-12-05T11:03:32","indexId":"70194544","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage","docAbstract":"<p><span>This is the first comprehensive region wide, spatially explicit epidemiologic analysis of surveillance data of the aquatic viral pathogen infectious hematopoietic necrosis virus (IHNV) infecting native salmonid fish. The pathogen has been documented in the freshwater ecosystem of the Pacific Northwest of North America since the 1950s, and the current report describes the disease ecology of IHNV during 2000–2012. Prevalence of IHNV infection in monitored salmonid host cohorts ranged from 8% to 30%, with the highest levels observed in juvenile steelhead trout. The spatial distribution of all IHNV-infected cohorts was concentrated in two sub-regions of the study area, where historic burden of the viral disease has been high. During the study period, prevalence levels fluctuated with a temporal peak in 2002. Virologic and genetic surveillance data were analyzed for evidence of three separate but not mutually exclusive transmission routes hypothesized to be maintaining IHNV in the freshwater ecosystem. Transmission between year classes of juvenile fish at individual sites (route 1) was supported at varying levels of certainty in 10%–55% of candidate cases, transmission between neighboring juvenile cohorts (route 2) was supported in 31%–78% of candidate cases, and transmission from adult fish returning to the same site as an infected juvenile cohort was supported in 26%–74% of candidate cases. The results of this study indicate that multiple specific transmission routes are acting to maintain IHNV in juvenile fish, providing concrete evidence that can be used to improve resource management. Furthermore, these results demonstrate that more sophisticated analysis of available spatio-temporal and genetic data is likely to yield greater insight in future studies.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3276","usgsCitation":"Breyta, R., Brito, I.L., Ferguson, P., Kurath, G., Naish, K.A., Purcell, M.K., Wargo, A.R., and LaDeau, S.L., 2017, Transmission routes maintaining a viral pathogen of steelhead trout within a complex multi-host assemblage: Ecology and Evolution, v. 7, no. 20, p. 8187-8200, https://doi.org/10.1002/ece3.3276.","productDescription":"14 p.","startPage":"8187","endPage":"8200","ipdsId":"IP-084983","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3276","text":"Publisher Index 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,{"id":70191338,"text":"70191338 - 2017 - Food-web dynamics and isotopic niches in deep-sea communities residing in a submarine canyon and on the adjacent open slopes","interactions":[],"lastModifiedDate":"2017-10-05T14:04:43","indexId":"70191338","displayToPublicDate":"2017-09-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Food-web dynamics and isotopic niches in deep-sea communities residing in a submarine canyon and on the adjacent open slopes","docAbstract":"<p>Examination of food webs and trophic niches provide insights into organisms' functional ecology, yet few studies have examined trophodynamics within submarine canyons, where the interaction of canyon morphology and oceanography influences habitat provision and food deposition. Using stable isotope analysis and Bayesian ellipses, we documented deep-sea food-web structure and trophic niches in Baltimore Canyon and the adjacent open slopes in the US Mid-Atlantic Region. Results revealed isotopically diverse feeding groups, comprising approximately 5 trophic levels. Regression analysis indicated that consumer isotope data are structured by habitat (canyon vs. slope), feeding group, and depth. Benthic feeders were enriched in <sup>13</sup>C and <sup>15</sup>N relative to suspension feeders, consistent with consuming older, more refractory organic matter. In contrast, canyon suspension feeders had the largest and more distinct isotopic niche, indicating they consume an isotopically discrete food source, possibly fresher organic material. The wider isotopic niche observed for canyon consumers indicated the presence of feeding specialists and generalists. High dispersion in δ<sup>13</sup>C values for canyon consumers suggests that the isotopic composition of particulate organic matter changes, which is linked to depositional dynamics, resulting in discrete zones of organic matter accumulation or resuspension. Heterogeneity in habitat and food availability likely enhances trophic diversity in canyons. Given their abundance in the world's oceans, our results from Baltimore Canyon suggest that submarine canyons may represent important havens for trophic diversity.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps12231","usgsCitation":"Demopoulos, A.W., McClain-Counts, J., Ross, S.W., Brooke, S., and Mienis, F., 2017, Food-web dynamics and isotopic niches in deep-sea communities residing in a submarine canyon and on the adjacent open slopes: Marine Ecology Progress Series, v. 578, p. 19-33, https://doi.org/10.3354/meps12231.","productDescription":"15 p.","startPage":"19","endPage":"33","ipdsId":"IP-082908","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469493,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://imis.nioz.nl/imis.php?module=ref&refid=289810","text":"External Repository"},{"id":438203,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71N7Z9R","text":"USGS data release","linkHelpText":"Food-web dynamics and isotopic niches in deep-sea communities residing in a submarine canyon and on the adjacent open slopes"},{"id":346430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Baltimore Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.49853515625,\n              39.18117526158749\n            ],\n            [\n              -74.94873046875,\n              36.66841891894786\n            ],\n            [\n              -73.6083984375,\n              35.88905007936091\n            ],\n            [\n              -72.13623046875,\n              36.686041276581925\n            ],\n            [\n              -71.54296874999999,\n              38.61687046392973\n            ],\n            [\n              -73.49853515625,\n              39.18117526158749\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"578","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d7449de4b05fe04cc7e306","contributors":{"authors":[{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":196216,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":711996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClain-Counts, Jennifer 0000-0002-3383-5472 jmcclaincounts@usgs.gov","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":196217,"corporation":false,"usgs":true,"family":"McClain-Counts","given":"Jennifer","email":"jmcclaincounts@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":711997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Steve W.","contributorId":72543,"corporation":false,"usgs":false,"family":"Ross","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":711998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooke, Sandra","contributorId":150169,"corporation":false,"usgs":false,"family":"Brooke","given":"Sandra","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":711999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mienis, Furu","contributorId":20255,"corporation":false,"usgs":true,"family":"Mienis","given":"Furu","affiliations":[],"preferred":false,"id":712000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195434,"text":"70195434 - 2017 - Degradation of crude 4-MCHM (4-methylcyclohexanemethanol) in sediments from Elk River, West Virginia","interactions":[],"lastModifiedDate":"2018-02-15T10:06:56","indexId":"70195434","displayToPublicDate":"2017-09-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Degradation of crude 4-MCHM (4-methylcyclohexanemethanol) in sediments from Elk River, West Virginia","docAbstract":"<p><span>In January 2014, approximately 37 800 L of crude 4-methylcyclohexanemethanol (crude MCHM) spilled into the Elk River, West Virginia. To understand the long-term fate of 4-MCHM, we conducted experiments under environmentally relevant conditions to assess the potential for the 2 primary compounds in crude MCHM (1) to undergo biodegradation and (2) for sediments to serve as a long-term source of 4-MCHM. We developed a solid phase microextraction (SPME) method to quantify the&nbsp;</span><i>cis</i><span>- and<span>&nbsp;</span></span><i>trans</i><span>-isomers of 4-MCHM. Autoclaved Elk River sediment slurries sorbed 17.5% of<span>&nbsp;</span></span><i>cis</i><span>-4-MCHM and 31% of<span>&nbsp;</span></span><i>trans</i><span>-4-MCHM from water during the 2-week experiment. Sterilized, impacted, spill-site sediment released minor amounts of<span>&nbsp;</span></span><i>cis</i><span>- and up to 35 μg/L of<span>&nbsp;</span></span><i>trans</i><span>-4-MCHM into water, indicating 4-MCHM was present in sediment collected 10 months post spill. In anoxic microcosms, 300 μg/L<span>&nbsp;</span></span><i>cis</i><span>- and 150 μg/L<span>&nbsp;</span></span><i>trans</i><span>-4-MCHM degraded to nondetectable levels in 8–13 days in both impacted and background sediments. Under aerobic conditions, 4-MCHM isomers degraded to nondetectable levels within 4 days. Microbial communities at impacted sites differed in composition compared to background samples, but communities from both sites shifted in response to crude MCHM amendments. Our results indicate that 4-MCHM is readily biodegradable under environmentally relevant conditions.</span></p>","language":"English","publisher":"ACS publications","doi":"10.1021/acs.est.7b03142","usgsCitation":"Cozzarelli, I.M., Akob, D.M., Baedecker, M.J., Spencer, T., Jaeschke, J.B., Dunlap, D., Mumford, A.C., Poret-Peterson, A.T., and Chambers, D., 2017, Degradation of crude 4-MCHM (4-methylcyclohexanemethanol) in sediments from Elk River, West Virginia: Environmental Science & Technology, v. 51, no. 21, p. 12139-12145, https://doi.org/10.1021/acs.est.7b03142.","productDescription":"7 p.","startPage":"12139","endPage":"12145","ipdsId":"IP-086118","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":351643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River","volume":"51","issue":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-13","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3af","contributors":{"authors":[{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":728589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baedecker, Mary Jo 0000-0002-4865-1043 mjbaedec@usgs.gov","orcid":"https://orcid.org/0000-0002-4865-1043","contributorId":197793,"corporation":false,"usgs":true,"family":"Baedecker","given":"Mary","email":"mjbaedec@usgs.gov","middleInitial":"Jo","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Tracey 0000-0002-9121-2943 tspencer@usgs.gov","orcid":"https://orcid.org/0000-0002-9121-2943","contributorId":197794,"corporation":false,"usgs":true,"family":"Spencer","given":"Tracey","email":"tspencer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaeschke, Jeanne B. 0000-0002-6237-6164 jaeschke@usgs.gov","orcid":"https://orcid.org/0000-0002-6237-6164","contributorId":3876,"corporation":false,"usgs":true,"family":"Jaeschke","given":"Jeanne","email":"jaeschke@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":728592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Darren S.","contributorId":179297,"corporation":false,"usgs":false,"family":"Dunlap","given":"Darren S.","affiliations":[],"preferred":false,"id":728593,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":197795,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728594,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":728595,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":2520,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas B.","email":"dbchambe@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":728596,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70190030,"text":"70190030 - 2017 - Methane in aquifers used for public supply in the United States","interactions":[],"lastModifiedDate":"2018-03-15T14:54:36","indexId":"70190030","displayToPublicDate":"2017-09-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Methane in aquifers used for public supply in the United States","docAbstract":"<p><span>In 2013 to 2015, 833 public supply wells in 15 Principal aquifers in the U.S. were sampled to identify which aquifers contained high methane concentrations (&gt;1&nbsp;mg/L) and determine the geologic, hydrologic, and geochemical conditions associated with high concentrations. This study represents the first national assessment of methane in aquifers used for public supply in the U.S. and, as such, advances the understanding of the occurrence and distribution of methane in groundwater nationally. Methane concentrations &gt;1 and&nbsp;&gt;&nbsp;10&nbsp;mg/L occurred in 6.7 and 1.1% of the samples, respectively. Most high concentrations occurred in aquifers in the Atlantic and Gulf Coastal Plain regions and upper Midwest. High methane concentrations were most commonly associated with Tertiary and younger aquifer sediments, old groundwater (&gt;60 years), and concentrations of oxygen, nitrate-N, and sulfate &lt;0.5&nbsp;mg/L. Concentrations of methane were also positively correlated (p&nbsp;&lt;&nbsp;0.05) with dissolved organic carbon and ammonium. Case studies in Florida, Texas, and Iowa were used to explore how regional context from this data set could aid our understanding of local occurrences of methane in groundwater. Regional data for methane, Br/Cl ratios, sulfate, and other parameters helped identify mixing processes involving end members such as wastewater effluent-impacted groundwater, saline formation water, and pore water in glacial till that contributed methane to groundwater in some cases and supported methane oxidation in others.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2017.07.014","usgsCitation":"McMahon, P.B., Belitz, K., Barlow, J.R., and Jurgens, B.C., 2017, Methane in aquifers used for public supply in the United States: Applied Geochemistry, v. 84, p. 337-347, https://doi.org/10.1016/j.apgeochem.2017.07.014.","productDescription":"11 p.","startPage":"337","endPage":"347","ipdsId":"IP-078350","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":438204,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7377766","text":"USGS data release","linkHelpText":"Data from Methane in Aquifers Used for Public Supply in the United States"},{"id":352578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"84","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3b1","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":707251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":707253,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248922,"text":"70248922 - 2017 - Dissolved organic matter compositional change and biolability during two storm runoff events in a small sgricultural watershed","interactions":[],"lastModifiedDate":"2023-09-26T11:59:42.521638","indexId":"70248922","displayToPublicDate":"2017-09-29T06:54:45","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter compositional change and biolability during two storm runoff events in a small sgricultural watershed","docAbstract":"<div class=\"article-section__content en main\"><p>Agricultural watersheds are globally pervasive, supporting fundamentally different organic matter source, composition, and concentration profiles in comparison to natural systems. Similar to natural systems, agricultural storm runoff exports large amounts of organic carbon from agricultural land into waterways. But intense management of upper soil layers, waterway channelization, wetland and riparian habitat removal, and postharvest vegetation removal promise to uniquely drive organic matter release to waterways. During a winter first flush and a subsequent storm event, this study investigated the influence of a small agricultural watershed on dissolved organic matter (DOM) source, composition, and biolability. Storm water discharge released strongly terrestrial yet biolabile (23 to 32%) dissolved organic carbon (DOC). Following a 21&nbsp;day bioassay, a parallel factor analysis identified an 80% reduction in a protein-like (phenylpropyl) component (C2) that was previously correlated to lignin phenol concentration, and a 10% reduction in a humic-like, terrestrially sourced component (C4). Storm-driven releases tripled DOC concentration (from 2.8 to 8.7&nbsp;mg&nbsp;L<sup>−1</sup>) during the first flush event in comparison to base flow and were terrestrially sourced, with an eightfold increase in vascular plant derived lignin phenols (23.0 to 185&nbsp;μg&nbsp;L<sup>−1</sup>). As inferred from system hydrology, lignin composition, and nitrate as a groundwater tracer, an initial pulse of dilute water from the upstream watershed caused a counterclockwise DOC hysteresis loop. DOC concentrations peaked after 3.5&nbsp;days, with the delay between peak discharge and peak DOC attributed to storm water hydrology and a period of initial water repellency of agricultural soils, which delayed DOM leaching.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG003935","usgsCitation":"Eckard, R., Pellerin, B., Bergamaschi, B.A., Bachand, P., Bachand, S.M., Spencer, R., and Hernes, P.J., 2017, Dissolved organic matter compositional change and biolability during two storm runoff events in a small sgricultural watershed: Journal of Geophysical Research: Biogeosciences, v. 122, no. 10, p. 2634-2650, https://doi.org/10.1002/2017JG003935.","productDescription":"17 p.","startPage":"2634","endPage":"2650","ipdsId":"IP-086742","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":421161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough Mouth","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.1986152282679,\n              38.8052958413123\n            ],\n            [\n              -122.1986152282679,\n              38.4512625500671\n            ],\n            [\n              -121.56690136108041,\n              38.4512625500671\n            ],\n            [\n              -121.56690136108041,\n              38.8052958413123\n            ],\n            [\n              -122.1986152282679,\n              38.8052958413123\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"122","issue":"10","noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckard, Robert S","contributorId":330177,"corporation":false,"usgs":false,"family":"Eckard","given":"Robert S","affiliations":[{"id":78839,"text":"1Department of Land, Air, and Water Resources, University of California, One Shields Ave., Davis, CA, 95616","active":true,"usgs":false}],"preferred":false,"id":884216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":884217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":884218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bachand, Philip A. M.","contributorId":139733,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip A. M.","affiliations":[{"id":12895,"text":"Bachand & Associates, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":884219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, Sandra M.","contributorId":147304,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":884220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spencer, Robert G. M.","contributorId":247636,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":884221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":884222,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}