{"pageNumber":"642","pageRowStart":"16025","pageSize":"25","recordCount":165270,"records":[{"id":70227771,"text":"70227771 - 2020 - Nonlinear reaction–diffusion process models improve inference for population dynamics","interactions":[],"lastModifiedDate":"2022-01-31T15:47:25.634954","indexId":"70227771","displayToPublicDate":"2019-11-03T09:40:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear reaction–diffusion process models improve inference for population dynamics","docAbstract":"

Partial differential equations (PDEs) are a useful tool for modeling spatiotemporal dynamics of ecological processes. However, as an ecological process evolves, we need statistical models that can adapt to changing dynamics as new data are collected. We developed a model that combines an ecological diffusion equation and logistic growth to characterize colonization processes of a population that establishes long-term equilibrium over a heterogeneous environment. We also developed a homogenization strategy to statistically upscale the PDE for faster computation and adopted a hierarchical framework to accommodate multiple data sources collected at different spatial scales. We highlighted the advantages of using a logistic reaction component instead of a Malthusian component when population growth demonstrates asymptotic behavior. As a case study, we demonstrated that our model improves spatiotemporal abundance forecasts of sea otters in Glacier Bay, Alaska. Furthermore, we predicted spatially varying local equilibrium abundances as a result of environmentally driven diffusion and density-regulated growth. Integrating equilibrium abundances over the study area in our application enabled us to infer the overall carrying capacity of sea otters in Glacier Bay, Alaska.

","language":"English","publisher":"Wiley","doi":"10.1002/env.2604","usgsCitation":"Lu, X., Williams, P.J., Hooten, M., Powell, J.A., Womble, J., and Bower, M.R., 2020, Nonlinear reaction–diffusion process models improve inference for population dynamics: Environmetrics, v. 31, no. 3, e2604, 17 p., https://doi.org/10.1002/env.2604.","productDescription":"e2604, 17 p.","ipdsId":"IP-109015","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/env.2604","text":"Publisher Index Page"},{"id":395142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -137.18902587890625,\n 58.32247223302053\n ],\n [\n -135.64819335937497,\n 58.32247223302053\n ],\n [\n -135.64819335937497,\n 59.1\n ],\n [\n -137.18902587890625,\n 59.1\n ],\n [\n -137.18902587890625,\n 58.32247223302053\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Xinyi","contributorId":272582,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyi","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":832169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":832170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":832171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, James A.","contributorId":190683,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":832172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Womble, Jamie N.","contributorId":267709,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":832173,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bower, Michael R.","contributorId":198632,"corporation":false,"usgs":false,"family":"Bower","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832174,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209553,"text":"70209553 - 2020 - Change points in annual peak streamflows: Method comparisons and historical change points in the United States","interactions":[],"lastModifiedDate":"2020-05-04T17:54:54.253292","indexId":"70209553","displayToPublicDate":"2019-11-02T07:59:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Change points in annual peak streamflows: Method comparisons and historical change points in the United States","docAbstract":"Change-point, or step-trend, detection is an active area of research in statistics and an area of great interest in hydrology because change points may be evidence of natural or anthropogenic changes in climatic, hydrologic, or landscape processes. A common change-point technique is the Pettitt test; however, many change-point methods are now available and testing of methods has been limited. This study investigated eight methods for detecting change points in the location (central tendency, seven methods) and scale (dispersion or spread, one method) of annual peak streamflows, using simulated data with and without change points, and peak-streamflow series from basins with known large additions of reservoir storage. Parametric methods tested, including a Bayesian one, did not perform well, even when transforming peak streamflows to approximate normality by using logarithms. Nonparametric methods other than the Pettitt test allow for more than one change point but have an unacceptable number of false positives. Based on the results of our methods comparisons, we used the Pettitt and the Mood tests to find change points in location and scale, respectively, in thousands of streamgage records in the conterminous United States. Change points in location (median) and scale are abundant, with the changes in median peak streamflow showing regional patterns, as well as a strong increased streamflow signal around 1970. The changes in scale of peak streamflows are dominated more by temporal than spatial patterns; more streamgages had decreases in scale in earlier decades than recent decades and more streamgages had increases in scale occurring in recent decades than earlier decades.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124307","collaboration":"","usgsCitation":"Ryberg, K.R., Hodgkins, G.A., and Dudley, R., 2020, Change points in annual peak streamflows: Method comparisons and historical change points in the United States: Journal of Hydrology, v. 583, https://doi.org/10.1016/j.jhydrol.2019.124307.","productDescription":"124307, 13 p.","startPage":"","ipdsId":"IP-098428","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":373948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": 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,{"id":70208374,"text":"70208374 - 2020 - Hydrologic modeling for flow-ecology science in the Southeastern United States and Puerto Rico","interactions":[],"lastModifiedDate":"2020-02-05T17:51:21","indexId":"70208374","displayToPublicDate":"2019-11-01T17:50:59","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"SRS-246","title":"Hydrologic modeling for flow-ecology science in the Southeastern United States and Puerto Rico","docAbstract":"

An understanding of the applicability and utility of hydrologic models is critical to support the effective management of water resources throughout the Southeastern United States (SEUS) and Puerto Rico (PR). Hydrologic models have the capacity to provide an estimate of the quantity of available water at ungauged locations (i.e., areas of the country where a U.S. Geological Survey [USGS] continuous record gauge is not installed) and provide the baseline flow information necessary to develop the linkages between water availability and characteristics of streamflow that support ecological communities (i.e., support the development of flow-ecology response models). This report inventories and then directly examines and compares a subset of hydrologic models used to estimate streamflow at a number of gauged basins across the SEUS and PR. This effort was designed to evaluate, quantify, and compare the magnitude of error and to investigate the potential causes of error associated with predicted streamflows from seven hydrologic models of varying complexity and calibration strategy. This was accomplished by computing and then comparing classical hydrologic model fit statistics (e.g., mean bias, coefficient of determination [R2], root mean squared error [RMSE], Nash-Sutcliffe Efficiency [NSE]) and understanding the bias in the prediction in these and a subset of ecologically relevant flow metrics (ERFMs). Additionally, streamflow predictions from a larger regional-scale hydrologic model were compared to those of several fine-scale hydrologic models under a range of hypothetical climate change scenarios to determine the range of predicted streamflow responses to fixed climate perturbations. A pilot study was conducted using predicted streamflow and boosted regression trees to develop a set of predictive flow-ecology response models to assess the potential change in fish species richness in the North Carolina Piedmont under several scenarios of water availability change. This report is intended to provide a general assessment of all the tools and techniques available to support hydrologic modeling for flow-ecology science in the SEUS and PR. It is our hope that the approach used herein to understand differences in streamflow predictions among a subset of hydrologic models that have been applied in the SEUS for developing flow-ecology response models will provide water resource managers and stakeholders with an informed pathway for developing the capacity to link streamflow and ecological response and an understanding of some of the limitations associated with these type of modeling efforts.

","language":"English","publisher":"U.S. Department of Agriculture Forest Service","usgsCitation":"Caldwell, P.V., Kennen, J., Hain, E.F., Nelson, S.A., Sun, G., and McNulty, S., 2020, Hydrologic modeling for flow-ecology science in the Southeastern United States and Puerto Rico: General Technical Report SRS-246, iii, 77 p.","productDescription":"iii, 77 p.","ipdsId":"IP-098574","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":372111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372091,"type":{"id":15,"text":"Index Page"},"url":"https://www.srs.fs.usda.gov/pubs/59109"}],"country":"United States","state":"Alabama, Florida, Georgia, Mississippi, North Carolina, Puerto Rico, South Carolina, Tennessee, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.06640625,\n 30.44867367928756\n ],\n [\n -85.25390625,\n 29.611670115197377\n ],\n [\n -84.287109375,\n 29.99300228455108\n ],\n [\n -82.880859375,\n 28.998531814051795\n ],\n [\n -81.298828125,\n 30.675715404167743\n ],\n [\n -78.31054687499999,\n 33.50475906922609\n ],\n [\n -75.849609375,\n 34.66935854524543\n ],\n [\n -75.673828125,\n 36.10237644873644\n ],\n [\n -76.552734375,\n 36.527294814546245\n ],\n [\n -80.068359375,\n 36.66841891894786\n ],\n [\n -80.771484375,\n 37.3002752813443\n ],\n [\n -82.08984375,\n 37.3002752813443\n ],\n [\n -83.84765625,\n 36.4566360115962\n ],\n [\n -87.5390625,\n 35.60371874069731\n ],\n [\n -89.736328125,\n 34.813803317113155\n ],\n [\n -89.56054687499999,\n 30.44867367928756\n ],\n [\n -88.06640625,\n 30.44867367928756\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.2747802734375,\n 17.868975338932746\n ],\n [\n -65.23681640625,\n 17.868975338932746\n ],\n [\n -65.23681640625,\n 18.531700307384043\n ],\n [\n -67.2747802734375,\n 18.531700307384043\n ],\n [\n -67.2747802734375,\n 17.868975338932746\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell, Peter V.","contributorId":222249,"corporation":false,"usgs":false,"family":"Caldwell","given":"Peter","email":"","middleInitial":"V.","affiliations":[{"id":39172,"text":"USDA Forest Service, Center for Forest Watershed Science, Coweeta Hydrologic Laboratory, Otto, NC, USA","active":true,"usgs":false}],"preferred":false,"id":781654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hain, Ernie F.","contributorId":141247,"corporation":false,"usgs":false,"family":"Hain","given":"Ernie","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":781655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Stacy A.C.","contributorId":222250,"corporation":false,"usgs":false,"family":"Nelson","given":"Stacy","email":"","middleInitial":"A.C.","affiliations":[{"id":39171,"text":"Center for Geospatial Analytics, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27695, USA","active":true,"usgs":false}],"preferred":false,"id":781656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sun, Ge","contributorId":145893,"corporation":false,"usgs":false,"family":"Sun","given":"Ge","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":781657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNulty, Steven G.","contributorId":222251,"corporation":false,"usgs":false,"family":"McNulty","given":"Steven G.","affiliations":[{"id":39173,"text":"USDA Forest Service, Eastern Forest Environmental Threat Assessment Center, Raleigh, NC, USA","active":true,"usgs":false}],"preferred":false,"id":781658,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206709,"text":"70206709 - 2020 - Pulse sediment event does not impact the metabolism of a mixed coral reef community","interactions":[],"lastModifiedDate":"2020-01-03T10:32:28","indexId":"70206709","displayToPublicDate":"2019-11-01T07:58:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Pulse sediment event does not impact the metabolism of a mixed coral reef community","docAbstract":"Sedimentation can bury corals, cause physical abrasion, and alter both spectral intensity and quality; however, few studies have quantified the effects of sedimentation on coral reef metabolism in the context of episodic sedimentation events. Here, we present the first study to measure coral community metabolism - calcification and photosynthesis - in a manipulative mesocosm experiment simulating a pulse sediment event. We exposed a mixed benthic community composed of 75% live carbonate rubble cover and 25% Montipora capitata coral cover to an approximately 275 mg cm−1 (sediment accumulation) acute pulse sediment loading event. No differences were found in net calcification or net photosynthesis between the control and treated mesocosms 48 h and 25 d following exposure to pulse sediment input. Results from this community experiment indicate the ability of Montipora capitata, a common reef coral, to persist under these acute sediment levels, demonstrating resistance to episodic sediment events.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2019.105007","usgsCitation":"Bahr, K., Rodgers, K., Jokiel, P., Prouty, N.G., and Storlazzi, C.D., 2020, Pulse sediment event does not impact the metabolism of a mixed coral reef community: Ocean and Coastal Management, v. 184, 105007, 8 p., https://doi.org/10.1016/j.ocecoaman.2019.105007.","productDescription":"105007, 8 p.","ipdsId":"IP-098718","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2019.105007","text":"Publisher Index Page"},{"id":369321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kāneʻohe Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.8371429443359,\n 21.524627220545295\n ],\n [\n -157.85362243652344,\n 21.50801854220741\n ],\n [\n -157.84332275390625,\n 21.45498583936925\n ],\n [\n -157.8179168701172,\n 21.44987323326115\n ],\n [\n -157.8131103515625,\n 21.43964748332894\n ],\n [\n -157.80418395996094,\n 21.422389905231366\n ],\n [\n -157.77328491210938,\n 21.4121622297254\n ],\n [\n -157.75955200195312,\n 21.429421016671633\n ],\n [\n -157.75955200195312,\n 21.43900835015781\n ],\n [\n -157.77465820312497,\n 21.44795595975583\n ],\n [\n -157.77603149414062,\n 21.45945922264566\n ],\n [\n -157.8371429443359,\n 21.524627220545295\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"184","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bahr, Keisha 0000-0002-8092-833X","orcid":"https://orcid.org/0000-0002-8092-833X","contributorId":220709,"corporation":false,"usgs":false,"family":"Bahr","given":"Keisha","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":775504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodgers, Ku’ulei 0000-0002-8420-4208","orcid":"https://orcid.org/0000-0002-8420-4208","contributorId":220710,"corporation":false,"usgs":false,"family":"Rodgers","given":"Ku’ulei","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":775505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jokiel, Paul","contributorId":220711,"corporation":false,"usgs":false,"family":"Jokiel","given":"Paul","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":775506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":775503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":775507,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224282,"text":"70224282 - 2020 - Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient","interactions":[],"lastModifiedDate":"2021-09-20T13:07:02.021749","indexId":"70224282","displayToPublicDate":"2019-10-31T08:04:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient","docAbstract":"
  1. Comparative studies, across and within taxa, have made important contributions to our understanding of the evolutionary processes that promote phenotypic diversity. Trait variation along geographic gradients provides a convenient heuristic for understanding what drives and maintains diversity. Intraspecific trait variation along latitudinal gradients is well-known, but elevational variation in the same traits is rarely documented. Trait variation along continuous elevational gradients, however, provides compelling evidence that individuals within a breeding population may experience different selective pressures.
  2. Our objectives were to quantify variation in a suite of traits along a continuous elevational gradient, evaluate whether individuals in the population experience different selective pressures along that gradient and quantify variation in migratory tendency along that gradient.
  3. We examined variation in a suite of 14 life-history, morphological and behavioural traits, including migratory tendency, of yellow-eyed juncos along a continuous 1000-m elevational gradient in the Santa Catalina Mountains of Arizona.
  4. Many traits we examined varied along the elevational gradient. Nest survival and nestling growth rates increased, while breeding season length, renesting propensity and adult survival declined, with increasing elevation. We documented the migratory phenotype of juncos (partial altitudinal migrants) and show that individual migratory tendency is higher among females than males and increases with breeding elevation.
  5. Our data support the paradigm that variation in breeding season length is a major selective pressure driving life-history variation along elevational gradients and that individuals breeding at high elevation pursue strategies that favour offspring quality over offspring quantity. Furthermore, a negative association between adult survival and breeding elevation and a positive association between nest survival and breeding elevation help explain both the downslope and reciprocal upslope seasonal migratory movements that characterize altitudinal migration in many birds. Our results demonstrate how detailed studies of intraspecific variation in suites of traits along environmental gradients can lend new insights into the evolutionary processes that promote diversification and speciation, the causes of migratory behaviour, and how animal populations will likely respond to climate change.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13134","usgsCitation":"Lundblad, C., and Conway, C.J., 2020, Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient: Journal of Animal Ecology, v. 89, no. 2, p. 397-411, https://doi.org/10.1111/1365-2656.13134.","productDescription":"15 p.","startPage":"397","endPage":"411","ipdsId":"IP-105625","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13134","text":"Publisher Index Page"},{"id":389478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":265812,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":823446,"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":823447,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208656,"text":"70208656 - 2020 - Semi-automated bathymetric spectral decomposition delineates the impact of mass wasting on the morphological evolution of the continental slope, offshore Israel","interactions":[],"lastModifiedDate":"2020-10-12T16:37:51.663002","indexId":"70208656","displayToPublicDate":"2019-10-30T19:46:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Semi-automated bathymetric spectral decomposition delineates the impact of mass wasting on the morphological evolution of the continental slope, offshore Israel","docAbstract":"Understanding continental slope morphological evolution is essential for predicting depositional systems and reservoirs in the adjacent basin. However, present-day slope seafloor-morphology is complicated by shaping processes, which are not readily separable through pure bathymetric analysis. This study aims to explore the utility of bathymetric spectral decomposition in order to separate and characterize interleaved seafloor imprints of mass wasting, and for clarifying their role in the morphological evolution of the slope of the southeastern Mediterranean Sea passive continental margin. Controlled by margin-parallel transport of Nilotic sediments from the south, this margin exhibits an intertwined variety of mass transport features. Our spectral decomposition of digital bathymetry, integrated with interpretation of seismic reflection data, highlights the long-term shape of the slope and separates the observed mass transport elements into several genetic groups: 1) a series of ~25 km wide, now buried slide scars and lobes; 2) slope-parallel bathymetric scarps representing shallow faults; 3) slope-perpendicular, open slope slide scars; .4) bathymetric roughness representing open slope debris lobes; 5) slope confined gullies. Our results provide a multi-scale view of the interplay between sliding and erosive flows, and shallow faulting accommodating internal deformation and salt retreat, in the evolution of continental slope morphology. The base of the slope and focused disturbances are controlled by relatively deep-seated (~1 km) salt retreat, and therefore mimic the Messinian base of slope. The top of the open slope is delimited by faults, accommodating internal collapse of the margin. The now-buried slide scars appear to have been cohesive and slope-confined and have mostly nucleated along the upper slope faults. The collapse of sediments infilling accommodation spaces created by these buried slides nucleated the more recent open slope slides. The open slope slides transported ~10 km3 of sediments, depositing on the lower slope and basin edge an average sediments thickness of ~3 m. Such a thickness is a significant fraction of the sediments accumulated along the base of the studied continental slope within the last <50 ka. South to north changes in population and size distribution of the open-slope slide scars highlight their role in counterbalancing the northwards diminishing sediment supply and helping to maintain a long-term steady-state bathymetric profile. The latest phase slope-confined gullies were presumably created by channeling of bottom currents into recent slide-scar depressions, possibly establishing incipient canyon headword erosion.","language":"English","publisher":"Wiley","doi":"10.1111/bre.12420","usgsCitation":"Omri, G., Tibor, G., ten Brink, U., Hall, J.K., Groves-Gidney, G., Bar-Am, G., Hubscher, C., and Makovsky, Y., 2020, Semi-automated bathymetric spectral decomposition delineates the impact of mass wasting on the morphological evolution of the continental slope, offshore Israel: Marine Geology, v. 32, no. 5, p. 1166-1193, https://doi.org/10.1111/bre.12420.","productDescription":"28 p.","startPage":"1166","endPage":"1193","ipdsId":"IP-102559","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458561,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/bre.12420","text":"Publisher Index Page"},{"id":372596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Israel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 34.5245361328125,\n 31.54577139493626\n ],\n [\n 34.7772216796875,\n 32.040676557717454\n ],\n [\n 34.991455078125,\n 32.616243412727385\n ],\n [\n 35.1727294921875,\n 32.95797741405952\n ],\n [\n 35.1837158203125,\n 33.10534697199519\n ],\n [\n 34.9749755859375,\n 33.1329513125159\n ],\n [\n 34.8980712890625,\n 33.14675022877648\n ],\n [\n 34.87060546875,\n 33.050112271849656\n ],\n [\n 34.7442626953125,\n 32.89803818160521\n ],\n [\n 34.6453857421875,\n 32.59310597426537\n ],\n [\n 34.453125,\n 32.091882620021806\n ],\n [\n 34.3267822265625,\n 31.74685416292141\n ],\n [\n 34.5025634765625,\n 31.5691754490709\n ],\n [\n 34.5245361328125,\n 31.54577139493626\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Omri, Godol","contributorId":222690,"corporation":false,"usgs":false,"family":"Omri","given":"Godol","email":"","affiliations":[{"id":40586,"text":"The Dr. Moses Strauss Department of Marine Geosciences, University of Haifa","active":true,"usgs":false}],"preferred":false,"id":782912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibor, Gideon","contributorId":222691,"corporation":false,"usgs":false,"family":"Tibor","given":"Gideon","email":"","affiliations":[{"id":40586,"text":"The Dr. Moses Strauss Department of Marine Geosciences, University of Haifa","active":true,"usgs":false}],"preferred":false,"id":782913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 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Gavrielle","contributorId":222742,"corporation":false,"usgs":false,"family":"Groves-Gidney","given":"Gavrielle","email":"","affiliations":[],"preferred":false,"id":782915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bar-Am, Gideon","contributorId":222694,"corporation":false,"usgs":false,"family":"Bar-Am","given":"Gideon","email":"","affiliations":[{"id":40588,"text":"Modiin Energy, 3 Azrieli Center, Triangle Tower 42nd Floor","active":true,"usgs":false}],"preferred":false,"id":782916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hubscher, Christian","contributorId":222695,"corporation":false,"usgs":false,"family":"Hubscher","given":"Christian","email":"","affiliations":[{"id":40589,"text":"Institute of Geophysics, Center for Earth System Research and Sustainability, University of Hamburg","active":true,"usgs":false}],"preferred":false,"id":782917,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Makovsky, Yizhaq","contributorId":222696,"corporation":false,"usgs":false,"family":"Makovsky","given":"Yizhaq","email":"","affiliations":[{"id":40586,"text":"The Dr. Moses Strauss Department of Marine Geosciences, University of Haifa","active":true,"usgs":false}],"preferred":false,"id":782918,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70208102,"text":"70208102 - 2020 - Size matters, but not consistently","interactions":[],"lastModifiedDate":"2020-01-27T19:41:08","indexId":"70208102","displayToPublicDate":"2019-10-30T19:39:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Size matters, but not consistently","docAbstract":"E. Pennisi (“Forest giants are the trees most at risk,” News, 6 September, p. 962) interprets presentations of three studies as suggesting that “for trees, size is not strength, and forest giants are disproportionately vulnerable.” However, this conclusion is not well supported.\nThe observation that lightning is a major cause of large-tree mortality on Barro Colorado Island (BCI) is best interpreted in context: when all sources of mortality are considered, small, not large BCI trees are most vulnerable to mortality (1). We have no a priori reason to assume that relative size vulnerabilities must reverse if mortality rates increase in the future.\nRather than reflecting universally high drought vulnerability of large trees, the remotely-sensed observation of increasing mortality with tree height in California’s Sierra Nevada (2) likely reflects changing species dominance with height. During the drought, sizes of trees suffering greatest mortality varied widely among species, a consequence of idiosyncratic host-tree selection by different bark beetle taxa (3). Pines were the only common species with mortality that increased with size, and pines also increased in relative dominance with canopy height (4, 5). More broadly, increasing tree mortality across western USA has affected trees of all sizes (6), and a recent multi-continent compilation showed no consistent size vulnerability to drought (3).\nBecause large trees typically are both the most highly valued and the most visible in aerial mortality surveys, the literature used to define the most damaging invasive forest pests (7) may be biased toward pests that kill large trees. Additionally, greater proportional mortality increase of large trees in the presence of invasive pests does not necessarily reflect greater absolute mortality rates relative to small trees (3, 8).\nFinally, Pennisi overlooked contrasting examples. For example, fire is increasing in many forests globally, and often disproportionately kills small trees (9). While large trees are certainly vulnerable to many ongoing environmental changes (10), they are not consistently the most vulnerable.","language":"English","publisher":"AAAS","doi":"10.1126/science.365.6457.962","usgsCitation":"Stephenson, N.L., and Das, A., 2020, Size matters, but not consistently: Science, v. 365, no. 6457, p. 962-963, https://doi.org/10.1126/science.365.6457.962.","productDescription":"2 p.","startPage":"962","endPage":"963","ipdsId":"IP-112348","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"365","issue":"6457","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780470,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215604,"text":"70215604 - 2020 - Context-dependent effects of livestock grazing in deserts of western North America","interactions":[],"lastModifiedDate":"2020-10-27T21:26:50.842753","indexId":"70215604","displayToPublicDate":"2019-10-30T16:18:56","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Context-dependent effects of livestock grazing in deserts of western North America","docAbstract":"

This chapter provides a general review of grazing disturbance by large mammalian grazers and the role of ecological context in moderating its effects, with emphasis on North American deserts. It discusses the ecological consequences of cessation of livestock grazing and present a case study from the Mojave Desert, United States of America. A primary effect of grazing is selective removal and ingestion of herbaceous plants, in contrast to removal of woody biomass from woody plants by browsing herbivores. The consequences of grazing–and resilience of a system to grazing disturbance–are highly context-dependent and vary across rangelands globally. Synergistic interactions between soil depth and plant structural properties, such as rooting depth and water-use efficiency, also influence plant access to water, and therefore moderate plant responses to drought and resilience to grazing. In some ecosystems, livestock grazing constitutes a novel or intensified disturbance. Application of the Intermediate Disturbance Hypothesis to grazing disturbance has been relatively infrequently tested relative to other ecological disturbances.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Disturbance ecology and biological diversity: Scale, context, and nature","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Veblen, K.E., Beever, E., and Pyke, D.A., 2020, Context-dependent effects of livestock grazing in deserts of western North America, chap. of Disturbance ecology and biological diversity: Scale, context, and nature, p. 89-113.","productDescription":"26 p.","startPage":"89","endPage":"113","ipdsId":"IP-105934","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":379839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379838,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/books/9780429095146"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.73522949218751,\n 34.00713506435885\n ],\n [\n -114.093017578125,\n 34.00713506435885\n ],\n [\n -114.093017578125,\n 35.40696093270201\n ],\n [\n -116.73522949218751,\n 35.40696093270201\n ],\n [\n -116.73522949218751,\n 34.00713506435885\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Veblen, Kari E.","contributorId":76872,"corporation":false,"usgs":false,"family":"Veblen","given":"Kari","email":"","middleInitial":"E.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":802948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":802949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":802950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208099,"text":"70208099 - 2020 - Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus)","interactions":[],"lastModifiedDate":"2020-01-29T16:02:26","indexId":"70208099","displayToPublicDate":"2019-10-29T19:46:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1598,"text":"Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus)","title":"Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus)","docAbstract":"

Species endemic to alpine environments can evolve via steep ecological selection gradients between lowland and upland environments. Additionally, many alpine environments have faced repeated glacial episodes over the past two million years, fracturing these endemics into isolated populations. In this “glacial pulse” model of alpine diversification, cycles of allopatry and ecologically divergent glacial refugia play a role in generating biodiversity, including novel admixed (“fused”) lineages. We tested for patterns of glacial pulse lineage diversification in the Yosemite toad (Anaxyrus [Bufo] canorus), an alpine endemic tied to glacially influenced meadow environments. Using double‐digest RADseq on populations densely sampled from a portion of the species range, we identified nine distinct lineages with divergence times ranging from 18 to 724 thousand years ago (ka), coinciding with multiple Sierra Nevada glacial events. Three lineages have admixed origins, and demographic models suggest these fused lineages have persisted throughout past glacial cycles. Directionality indices supported the hypothesis that some lineages recolonized Yosemite from east of the ice sheet, whereas other lineages remained in western refugia. Finally, refugial niche reconstructions suggest that low‐ and high‐elevation lineages have convergently adapted to similar climatic niches. Our results suggest glacial cycles and refugia may be important crucibles of adaptive diversity across deep evolutionary time.

","language":"English","publisher":"Wiley","doi":"10.1111/evo.13868","usgsCitation":"Maier, P., Vandergast, A.G., Ostoja, S.M., Aguilar, A., and Bohonak, A.J., 2020, Pleistocene glacial cycles drove lineage diversification and fusion in the Yosemite toad (Anaxyrus canorus): Evolution, p. 2476-2496, https://doi.org/10.1111/evo.13868.","productDescription":"21 p.","startPage":"2476","endPage":"2496","ipdsId":"IP-110890","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487192,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Pleistocene_glacial_cycles_drove_lineage_diversification_and_fusion_in_the_Yosemite_toad_Anaxyrus_canorus_/10260362","text":"External Repository"},{"id":437207,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KABYPU","text":"USGS data release","linkHelpText":"Reduced representation sequencing data for Yosemite Toad (Anaxyrus canorus) populations in the southern Sierra Nevada "},{"id":371626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.76470947265625,\n 37.61640705577992\n ],\n [\n -119.12750244140625,\n 37.61640705577992\n ],\n [\n -119.12750244140625,\n 37.93769926732864\n ],\n [\n -119.76470947265625,\n 37.93769926732864\n ],\n [\n -119.76470947265625,\n 37.61640705577992\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Paul A. 0000-0003-0851-8827","orcid":"https://orcid.org/0000-0003-0851-8827","contributorId":221033,"corporation":false,"usgs":false,"family":"Maier","given":"Paul A.","affiliations":[{"id":40313,"text":"Department of Biology, San Diego State","active":true,"usgs":false}],"preferred":false,"id":780458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M sostoja@usgs.gov","contributorId":192955,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M","affiliations":[],"preferred":false,"id":780459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguilar, Andres","contributorId":195155,"corporation":false,"usgs":false,"family":"Aguilar","given":"Andres","email":"","affiliations":[],"preferred":false,"id":780460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bohonak, Andrew J.","contributorId":195156,"corporation":false,"usgs":false,"family":"Bohonak","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":780461,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208344,"text":"70208344 - 2020 - Push and pull of downstream moving juvenile sea lamprey (Petromyzon marinus) exposed to chemosensory and light cues","interactions":[],"lastModifiedDate":"2020-02-05T17:13:02","indexId":"70208344","displayToPublicDate":"2019-10-29T16:56:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Push and pull of downstream moving juvenile sea lamprey (Petromyzon marinus) exposed to chemosensory and light cues","title":"Push and pull of downstream moving juvenile sea lamprey (Petromyzon marinus) exposed to chemosensory and light cues","docAbstract":"

Visual and olfactory stimuli induce behavioural responses in fishes when applied independently, but little is known about how simultaneous exposure influences behaviour, especially in downstream migrating fishes. Here, downstream moving juvenile sea lamprey (Petromyzon marinus) were exposed to light and a conspecific chemosensory alarm cue in a flume and movement were monitored with overhead cameras and nets. When exposed to light, sea lamprey were more likely to be captured in a net closest to the light array. When exposed to the alarm cue, sea lamprey transit rate through the flume increased, but sea lamprey did not avoid the alarm cue plume by moving perpendicular to flow. When the alarm cue and light were applied simultaneously in a push and pull configuration, the alarm cue still triggered enhanced downstream movement (push downstream) and more sea lamprey was still captured in the net nearest the light (pull to the side), resulting in twice as many sea lamprey being captured in the lighted net relative to controls. To our knowledge, this is the first study using multiple sensory cues in a push-pull configuration to modulate fish outmigration. Push and pull of juvenile sea lamprey with sensory cues could be useful to reduce turbine entrainment where native and enhance trap catch where invasive.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/conphys/coz080","usgsCitation":"Johnson, N., Miehls, S.M., Haro, A.J., and Wagner, C., 2020, Push and pull of downstream moving juvenile sea lamprey (Petromyzon marinus) exposed to chemosensory and light cues: Conservation Physiology, v. 7, coz080, 15 p., https://doi.org/10.1093/conphys/coz080.","productDescription":"coz080, 15 p.","ipdsId":"IP-111002","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":458566,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coz080","text":"Publisher Index Page"},{"id":372105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Connecticut River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.58379459381104,\n 42.58572863188258\n ],\n [\n -72.57774353027344,\n 42.58572863188258\n ],\n [\n -72.57774353027344,\n 42.5941644852184\n ],\n [\n -72.58379459381104,\n 42.5941644852184\n ],\n [\n -72.58379459381104,\n 42.58572863188258\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":781519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, C. Michael","contributorId":173006,"corporation":false,"usgs":false,"family":"Wagner","given":"C. Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781520,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209469,"text":"70209469 - 2020 - Occupancy Patterns of Breeding American Black Ducks","interactions":[],"lastModifiedDate":"2020-04-09T18:27:45.620736","indexId":"70209469","displayToPublicDate":"2019-10-29T13:15:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy Patterns of Breeding American Black Ducks","docAbstract":"

Occupancy patterns can assist with the determination of habitat limitation during breeding or wintering periods and can help guide population and habitat management efforts. American black ducks (Anas rubripes; black ducks) are thought to be limited by habitat and food availability during the winter, but breeding sites may also limit the size or growth potential of the population. The Canadian Wildlife Service conducts an annual breeding waterfowl survey that we used to explore the hypothesis that black duck carrying capacity is limited by wetlands available for breeding in Québec, Canada. We applied single‐visit, multi‐species occupancy models to the 1990–2015 population survey data to determine if there was evidence the black duck population was limited by breeding habitat. Using a dynamic (multi‐season) occupancy modeling approach, we estimated latent occupancy (occupancy accounting for imperfect detection) of black ducks and then used latent occupancy estimates to derive occupancy, colonization, and extirpation rates. We jointly modeled the occupancy dynamics of black ducks and other duck species in wetlands where both species were present. Throughout the duration of the survey, 44% of wetlands were never observed to be occupied by black ducks. Occupancy models showed wetland size was positively associated with occupancy at the first time step (initial occupancy) and colonization. All 2‐species models indicated initial black duck occupancy, persistence (continued occupancy), and colonization were positively associated with the presence of a second species. Colonization rate over the 26‐year period ranged from 7% to 27% across all models. Extirpation rates were similar and were constant through time within each model. Low occupancy rates, combined with approximately equal colonization and extirpation rates, suggest there are available wetlands for breeding black ducks in their core breeding area. If breeding habitats are not saturated, this suggests migration or wintering areas may be more limiting to black duck population abundance. 

","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21775","usgsCitation":"Roberts, A.J., Royle, J.A., Padding, P.I., Devers, P.K., Lepage, C., and Bordage, D., 2020, Occupancy Patterns of Breeding American Black Ducks: Journal of Wildlife Management, v. 84, no. 1, p. 150-160, https://doi.org/10.1002/jwmg.21775.","productDescription":"11 p.","startPage":"150","endPage":"160","ipdsId":"IP-109082","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":373864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario, Quebec","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -56.9091796875,\n 51.34433866059924\n ],\n [\n -57.041015625,\n 52.07950600379697\n ],\n [\n -63.80859374999999,\n 52.07950600379697\n ],\n [\n -63.28125,\n 52.802761415419674\n ],\n [\n -64.3359375,\n 52.802761415419674\n ],\n [\n -65.126953125,\n 51.944264879028765\n ],\n [\n -67.32421875,\n 52.9883372533954\n ],\n [\n -67.1044921875,\n 54.95238569063361\n ],\n [\n -82.3974609375,\n 54.316523240258256\n ],\n [\n -82.177734375,\n 45.30580259943578\n ],\n [\n -74.8828125,\n 45.1510532655634\n ],\n [\n -73.1689453125,\n 45.02695045318546\n ],\n [\n -71.279296875,\n 45.1510532655634\n ],\n [\n -69.43359375,\n 47.42808726171425\n ],\n [\n -68.994140625,\n 47.42808726171425\n ],\n [\n -68.90625,\n 47.15984001304432\n ],\n [\n -61.52343749999999,\n 49.1242192485914\n ],\n [\n -56.9091796875,\n 51.34433866059924\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Anthony J.","contributorId":191131,"corporation":false,"usgs":false,"family":"Roberts","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":786634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Padding, Paul I.","contributorId":38411,"corporation":false,"usgs":true,"family":"Padding","given":"Paul","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":786636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":786637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lepage, Christine","contributorId":194564,"corporation":false,"usgs":false,"family":"Lepage","given":"Christine","email":"","affiliations":[],"preferred":false,"id":786638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bordage, Daniel","contributorId":223924,"corporation":false,"usgs":false,"family":"Bordage","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":786639,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227992,"text":"70227992 - 2020 - Reduced species richness of native bees in field margins associated with neonicotinoid concentrations in non-target soils","interactions":[],"lastModifiedDate":"2022-02-03T17:08:57.296533","indexId":"70227992","displayToPublicDate":"2019-10-29T10:43:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Reduced species richness of native bees in field margins associated with neonicotinoid concentrations in non-target soils","docAbstract":"

Native bees are in decline as many species are sensitive to habitat loss, climate change, and non-target exposure to synthetic pesticides. Recent laboratory and semi-field assessments of pesticide impacts on bees have focused on neonicotinoid insecticides. However, field studies evaluating influences of neonicotinoid seed treatments on native bee communities of North America are absent from the literature. On four Conservation Areas of Missouri, we sampled row-cropped (treated, n = 15) and reference (untreated, n = 9) agricultural fields, and their surrounding field margins for neonicotinoids in soil and non-target vegetation (i.e., native wildflowers). Wildflowers were further collected and screened for the presence of fungicides. Concurrently, we sampled native bees over three discrete time points throughout the agricultural growing season to assess potential impacts of seed treatment use on local bee populations over time. Neonicotinoids were detected in 87% to 100% of treated field soils and 22% to 56% of reference field soils. In adjacent field margin soils, quantifiable concentrations were measured near treated (53% to 93% detection) and untreated fields (33% to 56% detection). Fungicides were detected in < 40% of wildflowers, whereas neonicotinoids were rarely detected in field margin vegetation (< 7%). Neonicotinoid concentrations in margin soils were negatively associated with native bee richness (β = −0.21, P < 0.05). Field margins with a combination of greater neonicotinoid concentrations in soil and fungicides in wildflowers also contained fewer wild bee species (β = −0.21, P <  0.001). By comparison, bee abundance was positively influenced by the number of wildflower species in bloom with no apparent impact of pesticides. Results of this study indicate that neonicotinoids in soil are a potential route of exposure for pollinator communities, specifically ground-nesting species. Importantly, native bee richness in non-target field margins may be negatively affected by the use of neonicotinoid seed treatments in agroecosystems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2019.106693","usgsCitation":"Main, A., Webb, E.B., Goyne, K., and Mengel, D., 2020, Reduced species richness of native bees in field margins associated with neonicotinoid concentrations in non-target soils: Agriculture, Ecosystems and Environment, v. 287, 106693, 10 p., https://doi.org/10.1016/j.agee.2019.106693.","productDescription":"106693, 10 p.","ipdsId":"IP-099433","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/98743","text":"Publisher Index Page"},{"id":395368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","volume":"287","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Main, A.R.","contributorId":244517,"corporation":false,"usgs":false,"family":"Main","given":"A.R.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":832859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goyne, K. W.","contributorId":273205,"corporation":false,"usgs":false,"family":"Goyne","given":"K. W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":832861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mengel, D.","contributorId":244519,"corporation":false,"usgs":false,"family":"Mengel","given":"D.","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832862,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227266,"text":"70227266 - 2020 - Population ecology and evaluation of suppression scenarios for an introduced Utah Chub population","interactions":[],"lastModifiedDate":"2022-01-06T15:10:34.376376","indexId":"70227266","displayToPublicDate":"2019-10-29T09:03:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population ecology and evaluation of suppression scenarios for an introduced Utah Chub population","docAbstract":"

Introduced Utah Chub Gila atraria were first sampled in Henrys Lake, Idaho, in 1993, and their presence in the system is a concern given possible interactions with sport fishes. Our objective was to describe the population dynamics of Utah Chub in Henrys Lake. A total of 362 Utah Chub was sampled via gill nets, with an average catch rate of 20.5 fish/net-night (SE = 6.0) during May 2016. Average TL was 210 mm (SE = 3), and average weight was 134 g (SE = 5). Pectoral fin rays were used to provide estimates of growth and age structure. Utah Chub varied in age from 2 to 12 years, and recruitment was stable (recruitment coefficient of determination = 0.96). Estimated total annual mortality was 40% (SE = 4%). Fecundity of Utah Chub in Henrys Lake increased with length and varied from 6,232 to 156,797 eggs/female. Age-structured population models were constructed using the demographics data, and estimated average population growth rate over a 10-year period was 1.17. This study provides a comprehensive description of Utah Chub population dynamics and insight on their management in systems where they are not native. This information is not only useful for guiding management actions but also serves to further our understanding of Utah Chub ecology.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10385","usgsCitation":"Roth, C.J., Beard, Z.S., Flinders, J.M., and Quist, M.C., 2020, Population ecology and evaluation of suppression scenarios for an introduced Utah Chub population: North American Journal of Fisheries Management, v. 40, no. 1, p. 133-144, https://doi.org/10.1002/nafm.10385.","productDescription":"12 p.","startPage":"133","endPage":"144","ipdsId":"IP-107852","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Henrys Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.45011901855469,\n 44.60537945347679\n ],\n [\n -111.35673522949219,\n 44.60537945347679\n ],\n [\n -111.35673522949219,\n 44.67402426917907\n ],\n [\n -111.45011901855469,\n 44.67402426917907\n ],\n [\n -111.45011901855469,\n 44.60537945347679\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Roth, Curtis J.","contributorId":204937,"corporation":false,"usgs":false,"family":"Roth","given":"Curtis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":830201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, Jonathan M","contributorId":270950,"corporation":false,"usgs":false,"family":"Flinders","given":"Jonathan","email":"","middleInitial":"M","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":830202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":830203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206284,"text":"70206284 - 2020 - Asymptotic population abundance of a two-patch system with asymmetric diffusion","interactions":[],"lastModifiedDate":"2020-03-10T19:40:11","indexId":"70206284","displayToPublicDate":"2019-10-28T15:33:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5881,"text":"Discrete & Continuous Dynamical Systems-A","active":true,"publicationSubtype":{"id":10}},"title":"Asymptotic population abundance of a two-patch system with asymmetric diffusion","docAbstract":"This paper considers a two-patch system with asymmetric diffusion rates, in which exploitable resources are included. By using dynamical system theory, we exclude periodic solution in the one-patch subsystem and demonstrate its global dynamics. Then we exhibit uniform persistence of the two-patch system and demonstrate uniqueness of the positive equilibrium, which is shown to be asymptotically stable when the diffusion rates are sufficiently large. By a thorough analysis on the asymptotic population abundance, we demonstrate necessary and sufficient conditions under which the asymmetric diffusion rates can lead to the result that total equilibrium population abundance in heterogeneous environments is larger than that in heterogeneous/homogeneous environments with no diffusion, which is not intuitive. Our result extends previous work to the situation of asymmetric diffusion and provides new insights. Numerical simulations confirm and extend our results.","language":"English","publisher":"American Institute of Mathematical Sciences","doi":"10.3934/dcds.2020031","usgsCitation":"Fang, M., Wang, Y., Chen, M., and DeAngelis, D.L., 2020, Asymptotic population abundance of a two-patch system with asymmetric diffusion: Discrete & Continuous Dynamical Systems-A, v. 40, no. 6, p. 3411-3425, https://doi.org/10.3934/dcds.2020031.","productDescription":"15 p.","startPage":"3411","endPage":"3425","ipdsId":"IP-106085","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458574,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/dcds.2020031","text":"Publisher Index Page"},{"id":368719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Mengting","contributorId":220087,"corporation":false,"usgs":false,"family":"Fang","given":"Mengting","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":774071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":774072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Mingshu","contributorId":220088,"corporation":false,"usgs":false,"family":"Chen","given":"Mingshu","email":"","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":774073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774070,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249754,"text":"70249754 - 2020 - Seasonal cycles in hematology and body mass in free-ranging gray wolves (Canis lupus) from northeastern Minnesota, USA","interactions":[],"lastModifiedDate":"2023-10-26T12:21:29.183031","indexId":"70249754","displayToPublicDate":"2019-10-26T07:19:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal cycles in hematology and body mass in free-ranging gray wolves (Canis lupus) from northeastern Minnesota, USA","docAbstract":"

Studies of captive gray wolves (Canis lupus) showed seasonal cycles in hematologic values and female body mass. We used a remotely controlled recapture collar to determine whether nine female and five male free-ranging wolves handled four to 17 times in NE Minnesota, US showed similar cycles. Hematocrit, hemoglobin, red blood cell count, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, and body mass increased from summer toward a winter peak and then decreased again toward summer. Several hematologic values differed considerably from those of captive wolves, and the ranges in free-ranging wolves were much greater than those of captives.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-06-156","usgsCitation":"Mech, L.D., and Buhl, D.A., 2020, Seasonal cycles in hematology and body mass in free-ranging gray wolves (Canis lupus) from northeastern Minnesota, USA: Journal of Wildlife Diseases, v. 56, no. 1, p. 179-185, https://doi.org/10.7589/2018-06-156.","productDescription":"7 p.","startPage":"179","endPage":"185","ipdsId":"IP-098922","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":437208,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VSFC7J","text":"USGS data release","linkHelpText":"Wolf Hematology in the Superior National Forest, 1989-1993"},{"id":422135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990 dbuhl@usgs.gov","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":146226,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah","email":"dbuhl@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886934,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222623,"text":"70222623 - 2020 - Near-fault velocity spectra from laboratory failures and their relation to natural ground motion","interactions":[],"lastModifiedDate":"2021-08-09T12:52:39.557852","indexId":"70222623","displayToPublicDate":"2019-10-24T07:51:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Near-fault velocity spectra from laboratory failures and their relation to natural ground motion","docAbstract":"

We compared near-fault velocity spectra recorded during laboratory experiments to that of natural earthquakes. We fractured crystalline rock samples at room temperature and intermediate confining pressure (50 MPa). Subsequent slip events were generated on the fracture surfaces under higher confinement (300 MPa). Velocity spectra from rock fracture resemble the inverse frequency (1/f) decay of natural earthquake velocity. This spectrum can be attributed to fault creation via seismic fracturing over a wide range of spatial scales. In contrast, subsequent slips on the rough fracture surfaces are depleted in high frequency energy and falloff approximately as 1/f2. The 1/f2 spectrum is more consistent with a slider-block model obeying static-kinetic friction than a natural earthquake. The depleted high frequency content precludes the rough fault experiments from being directly analogous to natural sources. The suppression of high frequencies may have resulted from two possible factors: (1) the presence of a well-developed shear zone and coseismic damping of the fault motion by dissipation within it or, in our favored interpretation, (2) a smaller amount of energy dissipated by shearing relative to the total energy release at elevated confining pressure. In context of the latter explanation, a unifying concept that applies to these experiments, earthquakes, ground motion, and models of complex radiated motion is that high frequency radiated energy is relatively enhanced when total energy release is nearly balanced within the source region by dissipative processes. This near-critical energy release condition can be accessed at low normal stress in laboratory experiments.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB017638","usgsCitation":"Beeler, N.M., Lockner, D.A., Kilgore, B.D., and McClaskey, G., 2020, Near-fault velocity spectra from laboratory failures and their relation to natural ground motion: Journal of Geophysical Research, v. 125, no. 2, e2019JB017638, 27 p., https://doi.org/10.1029/2019JB017638.","productDescription":"e2019JB017638, 27 p.","ipdsId":"IP-099500","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":820801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaskey, Greg","contributorId":261921,"corporation":false,"usgs":false,"family":"McClaskey","given":"Greg","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":820802,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217886,"text":"70217886 - 2020 - Recovery of soils from acidic deposition may exacerbate nitrogen export from forested watersheds","interactions":[],"lastModifiedDate":"2021-02-09T13:05:32.025768","indexId":"70217886","displayToPublicDate":"2019-10-24T06:59:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6495,"text":"JGR: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of soils from acidic deposition may exacerbate nitrogen export from forested watersheds","docAbstract":"

Effects of ambient decreases in N deposition on forest N cycling remain unclear as soils recover from acidic deposition. To investigate, repeated soil sampling data were related to deposition, vegetation, and stream data, for 2000–2015 in North and South Buck Creek watersheds, in the Adirondack region of New York, USA. In 63 other Adirondack streams, NO3− concentrations were also compared between 2004–2005 and 2014–2015, and a link between soil calcium and stream NO3− was investigated using data from 387 Adirondack streams that were sampled in either 2003–2005 or 2010–2011. No trends in N export or NO3− concentrations were observed in either Buck watershed despite a 45% decrease in N deposition, although South Buck N export was 2 to 3 times higher than in North Buck, where 48% of deposited N was accounted for by accumulation in the upper soil. In marked contrast, the upper profile in South Buck showed a net loss of N. Increased decomposition appeared likely in South Buck as those soils are adjusted to lower levels of acidifying S deposition, whereas decomposition increases in North Buck were likely suppressed by high levels of natural organic acidity. Stream NO3− concentrations in Buck watersheds bracketed regional results and were consistent with the regional streams that showed no overall change in NO3− concentrations between 2004 and 2014. A negative correlation observed between NO3− concentration and watershed buffering capacity expressed as the ratio of Ca2+ to SO42− also suggested that stream NO3− concentrations were elevated where soil Ca depletion had occurred.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JG005036","usgsCitation":"Lawrence, G.B., Scanga, S.E., and Sabo, R.D., 2020, Recovery of soils from acidic deposition may exacerbate nitrogen export from forested watersheds: JGR: Biogeosciences, v. 125, no. 1, e2019JG005036, 18 p., https://doi.org/10.1029/2019JG005036.","productDescription":"e2019JG005036, 18 p.","ipdsId":"IP-098501","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":458577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jg005036","text":"Publisher Index Page"},{"id":383143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanga, Sara E. 0000-0003-4022-4167","orcid":"https://orcid.org/0000-0003-4022-4167","contributorId":178227,"corporation":false,"usgs":false,"family":"Scanga","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":28019,"text":"Deptartment of Biology, Utica College","active":true,"usgs":false}],"preferred":false,"id":810062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sabo, Robert D. 0000-0001-8713-7699","orcid":"https://orcid.org/0000-0001-8713-7699","contributorId":178226,"corporation":false,"usgs":false,"family":"Sabo","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":810063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206282,"text":"70206282 - 2020 - Plant community establishment in a coastal marsh restored using sediment additions","interactions":[],"lastModifiedDate":"2020-10-14T12:04:29.011341","indexId":"70206282","displayToPublicDate":"2019-10-23T13:26:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Plant community establishment in a coastal marsh restored using sediment additions","docAbstract":"

A goal of wetland restoration is the establishment of resilient plant communities that persist under a variety of environmental conditions. We investigated the role of intraspecific and interspecific variation on plant community establishment in a brackish marsh that had been restored by sediment addition. Plant growth, sediment accretion, and surface elevation change in planted, not-planted, and nearby reference sites (treatments) were compared. Four perennial macrophytes were planted: Bolboschoenus robustus, Distichlis spicata, Phragmites australis, and Schoenoplectus californicus. There was 100% survival of the planted species, and all exhibited rapid vegetative spread. Intraspecific variation in stem height and cover was identified, and interspecific comparisons also indicated differences in species cover. Treatment comparisons revealed that final total cover at not-planted sites was equivalent to that at reference sites, and was highest at planted sites where P. australis became dominant. Species richness was initially highest at the reference sites, but final richness was equivalent among treatments. Soil surface elevation was greater at planted compared to not-planted and reference sites. Because of the rapid cover and increased surface elevation generated by planted species, the resiliency of restored coastal marshes may be enhanced by plantings in areas where natural colonization is slow and subsidence is high.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01217-z","usgsCitation":"Howard, R., Rafferty, P.S., and Johnson, D.J., 2020, Plant community establishment in a coastal marsh restored using sediment additions: Wetlands, v. 40, p. 877-892, https://doi.org/10.1007/s13157-019-01217-z.","productDescription":"16 p.","startPage":"877","endPage":"892","ipdsId":"IP-109021","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458581,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-019-01217-z","text":"Publisher Index Page"},{"id":368713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379340,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VGVX76","text":"USGS data release","description":"USGS data release","linkHelpText":"Plant community establishment in a coastal marsh restored using sediment additions, Barataria Basin, Louisiana"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin, Bayou Dupont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.20050048828125,\n 29.60510327870869\n ],\n [\n -90.05252838134766,\n 29.60510327870869\n ],\n [\n -90.05252838134766,\n 29.750667073428268\n ],\n [\n -90.20050048828125,\n 29.750667073428268\n ],\n [\n -90.20050048828125,\n 29.60510327870869\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Howard, Rebecca 0000-0001-7264-4364","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":220082,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":774066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rafferty, Patricia S.","contributorId":220083,"corporation":false,"usgs":false,"family":"Rafferty","given":"Patricia","email":"","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Darren J. 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":220084,"corporation":false,"usgs":false,"family":"Johnson","given":"Darren","email":"","middleInitial":"J.","affiliations":[{"id":27063,"text":"Cherokee Nations Technology","active":true,"usgs":false}],"preferred":false,"id":774068,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208058,"text":"70208058 - 2020 - Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology","interactions":[],"lastModifiedDate":"2023-11-08T16:57:08.69022","indexId":"70208058","displayToPublicDate":"2019-10-23T07:00:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology","docAbstract":"Linking fault behavior over many earthquake cycles to individual earthquake behavior is a primary goal in tectonic geomorphology, particularly across an entire plate boundary. Here, we examine the 1150-km-long, right-lateral Queen Charlotte-Fairweather fault system using comprehensive multibeam bathymetry data acquired along the Queen Charlotte Fault (QCF) offshore southeastern Alaska and western British Columbia. Fine-scale analysis of tectonic geomorphology allowed us to identify and reconstruct 184 strike-slip piercing points over a 630 km stretch of the QCF. Age constraints from glacial recession and offshore sedimentation patterns yield a consistent slip-rate of ∼50–57 mm/yr since ∼17–12 ka, the fastest rate for a continent-ocean strike-slip fault on Earth. These slip-rates equal or exceed estimates of Pacific-North America (PA-NA) relative motion from global plate reconstructions, indicating that PA-NA motion is highly localized. The QCF cuts the seafloor along a narrow and unusually straight trace for its entire length and multiple fault traces are observed only at local step-overs. The geometry and behavior of the QCF over many earthquake cycles is simple and typical of mature faults with relatively homogeneous stress fields. Since the QCF is the primary PA-NA plate boundary, we used the trace of the QCF to define the small circle path for relative plate motion and computed the associated Euler pole. Predicted along-strike obliquity variations based on the new pole agree with observed tectonic geomorphology and suggest that previous global plate reconstructions overestimated the degree of oblique convergence along the QCF. We also find that subtle, long-wavelength (75–150 km) bends and discrete step-overs appear to define the endpoints of M>7 earthquakes, suggesting that obliquity and resultant fault geometry may control rupture segmentation and asperity development. Lastly, the agreement between predicted obliquity and tectonic geomorphology along the entire length of QCF compelled a reevaluation of regional tectonic models. In the north, the eastern Yakatat Terrane appears to be translating northwest with the Pacific plate, and slip transferred from the QCF to the Fairweather Fault results in ∼20 mm/yr of convergence along the southern St. Elias mountains. In the south, we predict a reduced rate of convergence along the QCF west of Haida Gwaii (∼5–6 mm/yr of shortening, on average) relative to previous studies. Our results support a model for transpression and strike-slip partitioning along the edge of a hot and weak Pacific Plate, leading to crustal thickening and growth of the Queen Charlotte Terrace to the west of Haida Gwaii.","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.115882","usgsCitation":"Brothers, D.S., Miller, N.C., Barrie, V., Haeussler, P., Greene, H.G., Andrews, B.D., Zielke, O., and Dartnell, P., 2020, Plate boundary localization, slip-rates and rupture segmentation of the Queen Charlotte Fault based on submarine tectonic geomorphology: Earth and Planetary Science Letters, no. 530, 115882, 16 p., https://doi.org/10.1016/j.epsl.2019.115882.","productDescription":"115882, 16 p.","ipdsId":"IP-112239","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458583,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2019.115882","text":"Publisher Index Page"},{"id":371553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, British Columbia","otherGeospatial":"Queen Charlotte fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -133.4951629472878,\n 51.22355291983479\n ],\n [\n -128.93798737425547,\n 52.061072194022785\n ],\n [\n -134.9579573372683,\n 59.85011582268859\n ],\n [\n -142.21165991313777,\n 60.39645421234209\n ],\n [\n -133.4951629472878,\n 51.22355291983479\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"530","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":221807,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrie, Vaughn 0000-0001-9742-4325","orcid":"https://orcid.org/0000-0001-9742-4325","contributorId":221808,"corporation":false,"usgs":false,"family":"Barrie","given":"Vaughn","email":"","affiliations":[{"id":40433,"text":"NRCAN","active":true,"usgs":false}],"preferred":false,"id":780297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":780298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greene, H. Gary","contributorId":208568,"corporation":false,"usgs":false,"family":"Greene","given":"H.","email":"","middleInitial":"Gary","affiliations":[{"id":6751,"text":"Moss Landing Marine Laboratories","active":true,"usgs":false}],"preferred":false,"id":780299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zielke, Olaf 0000-0002-4797-0034","orcid":"https://orcid.org/0000-0002-4797-0034","contributorId":221809,"corporation":false,"usgs":false,"family":"Zielke","given":"Olaf","email":"","affiliations":[{"id":24561,"text":"KAUST","active":true,"usgs":false}],"preferred":false,"id":780301,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dartnell, Peter 0000-0002-9554-729X","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":208208,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780302,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236855,"text":"70236855 - 2020 - Highlights of a cursory study of behavior of three instrumented buildings during the Mw7.1 Anchorage, Alaska, earthquake of November 30, 2018","interactions":[],"lastModifiedDate":"2022-09-20T11:47:52.692808","indexId":"70236855","displayToPublicDate":"2019-10-23T06:43:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Highlights of a cursory study of behavior of three instrumented buildings during the Mw7.1 Anchorage, Alaska, earthquake of November 30, 2018","docAbstract":"

This is a cursory study of the recorded responses of three buildings instrumented by the U.S. Geological Survey (USGS) in Anchorage, Alaska, during the Mw\">MwMw 7.1 earthquake of 30 November 2018. The earthquake caused the strongest shaking in Anchorage since the well‐known 1964 Mw\">MwMw 9.2 Great Alaska earthquake. Since the 1964 event, several structures (buildings and bridges) in Anchorage have been instrumented by the USGS, and their responses have been recorded during multiple events. For each of the three buildings (the 14‐story Frontier Building, the 20‐story Atwood Building, and the 22‐story Hilton Hotel) studied herein, essential dynamic characteristics and significant behavioral aspects such as beating and torsional motions are identified. Recorded peak accelerations and displacements are provided, and average drift ratios are computed using the peak displacements at the roof levels with respect to the ground level. These average drift ratios imply that the motions are at levels expected not to cause damage to the buildings. Visualization videos of both the 14‐story Frontier and the 20‐story Atwood Buildings have been developed to display overall shaking of the buildings during the earthquake.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190220","usgsCitation":"Celebi, M., 2020, Highlights of a cursory study of behavior of three instrumented buildings during the Mw7.1 Anchorage, Alaska, earthquake of November 30, 2018: Seismological Research Letters, v. 91, no. 1, p. 56-65, https://doi.org/10.1785/0220190220.","productDescription":"10 p.","startPage":"56","endPage":"65","ipdsId":"IP-110486","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.962890625,\n 60.673178565817715\n ],\n [\n -148.095703125,\n 60.673178565817715\n ],\n [\n -148.095703125,\n 61.95961583829658\n ],\n [\n -151.962890625,\n 61.95961583829658\n ],\n [\n -151.962890625,\n 60.673178565817715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852366,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70209218,"text":"70209218 - 2020 - Assessment of uncertainty in multi-model means of downscaled south Florida precipitation for projected (2019-2099) climate","interactions":[],"lastModifiedDate":"2020-05-04T17:52:07.624597","indexId":"70209218","displayToPublicDate":"2019-10-21T13:34:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of uncertainty in multi-model means of downscaled south Florida precipitation for projected (2019-2099) climate","docAbstract":"South Florida resource management, particularly the Everglades restoration effort, is beginning to consider projections of precipitation from multiple climate models for decision-making. Because precipitation changes can significantly affect the Everglades ecosystem, characterization of precipitation projection uncertainty is important for resource management decisions, and reduction of uncertainty is desired for better decision-making. Though uncertainty of precipitation projections has been characterized for many regions, uncertainty has not been sufficiently quantified for south Florida. This study builds upon prior results for projected Florida precipitation by adding recent climate model simulations, seasonal and spatial information, and uncertainty quantification and reduction. We identify the multi-model mean change in south Florida precipitation and characterize the uncertainty of 37 statistically downscaled Coupled Model Intercomparison Project Phase 5 models. For 2019−45, there is a likely (over 60% of ensemble members) increase in south Florida annual mean precipitation owing to a likely to very likely (near 90% of ensemble members) increase in dry season (November, December, January) precipitation, while wet season (June, July, August) shows a more likely than not (over 50% of ensemble members) decrease in precipitation in southern region and increase in precipitation in northern region. As south Florida agencies are on the verge of including precipitation projections in their upcoming planning horizon, this information will aid south Florida practitioners in decisions influenced by future rainfall.","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.6365","usgsCitation":"Infanti, J., Kirtman, B.P., Aumen, N., Stamm, J., and Polsky, C., 2020, Assessment of uncertainty in multi-model means of downscaled south Florida precipitation for projected (2019-2099) climate: International Journal of Climatology, v. 40, no. 5, p. 2764-2777, https://doi.org/10.1002/joc.6365.","productDescription":"14 p.","startPage":"2764","endPage":"2777","ipdsId":"IP-093799","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":467308,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/57234","text":"External Repository"},{"id":373482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"South Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.3974609375,\n 28.033197847676377\n ],\n [\n -83.14453125,\n 28.07198030177986\n ],\n [\n -83.1005859375,\n 27.371767300523047\n ],\n [\n -83.1005859375,\n 26.54922257769204\n ],\n [\n -81.8701171875,\n 25.681137335685307\n ],\n [\n -81.2109375,\n 24.686952411999155\n ],\n [\n -79.8486328125,\n 25.16517336866393\n ],\n [\n -79.5849609375,\n 26.470573022375085\n ],\n [\n -79.98046875,\n 27.839076094777816\n ],\n [\n -82.3974609375,\n 28.033197847676377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Infanti, Johnna 0000-0001-7572-6373","orcid":"https://orcid.org/0000-0001-7572-6373","contributorId":223551,"corporation":false,"usgs":false,"family":"Infanti","given":"Johnna","email":"","affiliations":[{"id":40739,"text":"University of Miami Rosenstiel School for Marine and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":785431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirtman, Ben P. 0000-0001-7423-2734","orcid":"https://orcid.org/0000-0001-7423-2734","contributorId":223552,"corporation":false,"usgs":false,"family":"Kirtman","given":"Ben","email":"","middleInitial":"P.","affiliations":[{"id":40740,"text":"University of Miami Rosenstiel School of Marine and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":785432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aumen, Nicholas 0000-0002-5277-2630","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":223550,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":785430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamm, John F. 0000-0002-3404-2933","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":204339,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":785433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Polsky, Colin","contributorId":221205,"corporation":false,"usgs":false,"family":"Polsky","given":"Colin","affiliations":[],"preferred":false,"id":785434,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224286,"text":"70224286 - 2020 - Predictive multi-scale occupancy models at range-wide extents: Effects of habitat and human disturbance on distributions of wetland birds","interactions":[],"lastModifiedDate":"2021-09-20T12:56:45.40967","indexId":"70224286","displayToPublicDate":"2019-10-21T07:55:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Predictive multi-scale occupancy models at range-wide extents: Effects of habitat and human disturbance on distributions of wetland birds","docAbstract":"

Aim

Predicting distributions is fundamental to ecology, yet hindered by spatially restricted sampling, scale-dependent relationships and detection error associated with field surveys. Predictive species distribution models (SDMs) are nonetheless vital for conservation of many species. We developed a framework for building predictive SDMs with multi-scale data and used it to develop range-wide breeding-season SDMs for 14 marsh bird species of concern.

Location

USA.

Methods

We built SDMs using data from range-wide surveys conducted over 14 years, and habitat and disturbance covariates measured at multiple spatial scales. We built hierarchical occupancy models that included heterogeneity in detectability during sampling, and used Bayesian model selection to regulate model complexity (covariates and scales) based explicitly on spatial predictive abilities. We thus integrated model selection for optimizing out-of-sample prediction, range-wide sampling over broad conditions, multi-scale analyses and scale optimization, and species-specific detectability for a suite of wide-ranging species.

Results

Distributions of marsh birds were affected by local wetland conditions, but also by agricultural, urban and hydrologic disturbances operating from local scales (100–500 m) to the watershed level. Variables measuring human disturbances improved prediction for most species, and every species was affected by attributes at >1 scale. Five species showed evidence for continental-scale range contraction during the study.

Main conclusions

We demonstrate how hierarchical occupancy models can be optimized for prediction across a species' range at the extent of a continent while also accounting for imperfect detection, and thus describe a generalizable approach that can be used for any species. We provide the first data-driven, empirical SDMs built at the range-wide extent for most of our 14 study species and demonstrate that previous studies focused on local distributions and the effects of fine-scale wetland vegetation missed important broadscale drivers of occupancy for marsh birds.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12995","usgsCitation":"Stevens, B.S., and Conway, C.J., 2020, Predictive multi-scale occupancy models at range-wide extents: Effects of habitat and human disturbance on distributions of wetland birds: Diversity and Distributions, v. 26, no. 1, p. 34-48, https://doi.org/10.1111/ddi.12995.","productDescription":"15 p.","startPage":"34","endPage":"48","ipdsId":"IP-105638","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12995","text":"Publisher Index Page"},{"id":389474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":823459,"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":823458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215321,"text":"70215321 - 2020 - Anthropogenic land‐use change intensifies the effect of low flows on stream fishes","interactions":[],"lastModifiedDate":"2020-10-16T14:37:38.372809","indexId":"70215321","displayToPublicDate":"2019-10-20T09:25:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic land‐use change intensifies the effect of low flows on stream fishes","docAbstract":"
  1. As ecosystems experience simultaneous disturbances, it is critical to understand how multiple stressors interact to affect ecological change. Land‐use change and extreme flow events are two important stressors that could interact to affect fish populations.
  2. We evaluated the individual and interactive effects of discharge and land‐use change associated with oil and natural gas development on populations of two stream fishes over a 7‐year period. We used repeated‐state (i.e. abundance trends) and rate (i.e. colonization and persistence) responses to advance our understanding of flow‐ecology relationships in a multiple‐stressor framework.
  3. Overall, fish abundance, colonization and persistence declined as discharge decreased. The effect of land‐use change associated with oil and natural gas development differed between species, with the abundance of Mottled Sculpin declining and Mountain Sucker increasing as land‐use change increased. We found both synergistic and antagonistic interactions between discharge and land‐use change. Land‐use change intensified the effect of low flows for Mottled Sculpin and lead to greater variability in responses to flow for Mountain Sucker. These differences between species' responses are likely due to differences in their physiological tolerances and behavioural adaptations to disturbance.
  4. Synthesis and applications. Our research provides empirical evidence for the complex interactions that can arise between discharge and anthropogenic land‐use change. Management efforts to reduce inputs of sediments and chemical contaminants associated with land‐use change (e.g. silt fences, vegetative buffers) and promote quality refuge habitats (i.e. in‐stream habitat restoration) could help mitigate the negative effects of low‐flow extremes on stream fishes. Further development of flow‐ecology relationships in a multiple‐stressor framework will help guide management of stream fishes, and provide a better understanding of the mechanisms underlying responses of different species.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13517","usgsCitation":"Walker, R., Girard, C., Alford, S., and Walters, A.W., 2020, Anthropogenic land‐use change intensifies the effect of low flows on stream fishes: Journal of Applied Ecology, v. 57, no. 1, p. 149-159, https://doi.org/10.1111/1365-2664.13517.","productDescription":"11 p.","startPage":"149","endPage":"159","ipdsId":"IP-105667","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13517","text":"Publisher Index Page"},{"id":379469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Upper Green River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.67724609375,\n 41.09591205639546\n ],\n [\n -107.29248046875,\n 41.78769700539063\n ],\n [\n -108.30322265624999,\n 42.407234661551875\n ],\n [\n -110.14892578125,\n 43.229195113965005\n ],\n [\n -110.58837890625,\n 43.213183300738876\n ],\n [\n -110.9619140625,\n 42.391008609205045\n ],\n [\n -111.181640625,\n 41.83682786072714\n ],\n [\n -111.005859375,\n 41.1290213474951\n ],\n [\n -110.98388671874999,\n 40.84706035607122\n ],\n [\n -106.50146484374999,\n 40.9964840143779\n ],\n [\n -106.67724609375,\n 41.09591205639546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Richard H.","contributorId":224149,"corporation":false,"usgs":false,"family":"Walker","given":"Richard H.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":801704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Girard, Carlin","contributorId":176838,"corporation":false,"usgs":false,"family":"Girard","given":"Carlin","email":"","affiliations":[],"preferred":false,"id":801705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alford, Samantha L.","contributorId":243195,"corporation":false,"usgs":false,"family":"Alford","given":"Samantha L.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":801706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801707,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206418,"text":"70206418 - 2020 - Low streamflow trends at human-impacted and reference basins in the United States","interactions":[],"lastModifiedDate":"2019-11-04T14:42:50","indexId":"70206418","displayToPublicDate":"2019-10-18T14:36:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflow trends at human-impacted and reference basins in the United States","docAbstract":"We present a continent-scale exploration of trends in annual 7-day low streamflows at 2482 U.S. Geological Survey streamgages across the conterminous United States over the past 100, 75, and 50 years (1916–2015, 1941–2015 and 1966–2015). We used basin characteristics to identify subsets of study basins representative of reference basins with streamflow relatively free from human effects (n = 259), and predominantly agricultural basins (n = 78), regulated basins (n = 220), and urban basins (n = 121). Trend significance was computed using the Mann-Kendall test considering short- and long-term persistence. Lag-one autocorrelation tests of detrended 7-day low streamflows for all gage classes show that time-series independence is not an appropriate assumption for annual low streamflow data at many basins. Among all study gages, upward trends (wetter conditions) in 7-day low streamflows outnumbered downward trends (drier conditions) approximately 2–1 for the 75- and 100-year trend periods—50-year trends indicated roughly equal numbers of increases and decreases. Increases in 7-day low streamflow were consistently observed for all time periods throughout much of the northeastern quadrant of the conterminous U.S. including western New England and the Mid-Atlantic, the southeastern Great Lakes basin, northern Ohio River basin, and the Upper Mississippi River and eastern Missouri River basins. Decreases in 7-day low streamflow were consistently observed for all time periods at many gages in the southeastern U.S. and in the northwestern U.S. in much of Idaho and northwestern Washington. Overall, we observed greater percentages of statistically significant trends at gages with human-induced influences than at reference gages. Low-flow trends at agricultural gages were regionally consistent with trends at reference gages. Regulated basins had many statistically significant upward trends for all three time periods tested, which may be attributed in part to substantial increases in dam-related storage prior to 1970. Urban gages had the greatest percentage of significant decreases in 7-day low flows compared to all other gage classes even though most urban gages saw upward trends in mean annual flows. Urban gages also had the greatest percentage of significant increases in low flows second only to regulated gages, highlighting that urban development can increase or decrease low streamflows depending on the basin-specific development.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124254","usgsCitation":"Dudley, R., Hirsch, R.M., Archfield, S.A., Blum, A., and Renard, B., 2020, Low streamflow trends at human-impacted and reference basins in the United States: Journal of Hydrology, v. 580, 124254, 13 p., https://doi.org/10.1016/j.jhydrol.2019.124254.","productDescription":"124254, 13 p.","ipdsId":"IP-098641","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":458591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.124254","text":"Publisher Index 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Division","active":true,"usgs":true}],"preferred":true,"id":774480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":774481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":774482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":774483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203892,"text":"70203892 - 2020 - The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","interactions":[],"lastModifiedDate":"2019-12-03T10:47:43","indexId":"70203892","displayToPublicDate":"2019-10-18T10:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","docAbstract":"

A century ago, two Americans, Henry Stephens Washington and Frank Alvord Perret, made significant contributions to the geology, petrology, and volcanology of Italy, in particular to those volcanoes in the Naples area, Vesuvius, Campi Flegrei (Phlegraean Fields), and the Island of Ischia. Both were from the eastern United States, both were born in 1867, and both studied physics as undergraduates. However, each man followed a different scientific path and approach in his volcanological studies. Washington was classically trained and more interested in rock chemistry, mineralogy, and petrogenesis. Perret was a gifted inventor, worked in Edison's laboratory, established his own company, and was a keen observer of volcanic phenomena and processes; today he would be called a “physical volcanologist” Each man published classic works on Italian volcanoes, The Roman Comagmatic Region (Washington, 1906) and The Vesuvius Eruption of 1906 (Perret, 1924); both were published by the Carnegie Institution of Washington. However, both men had cosmopolitan tastes for other volcanoes, and they traveled widely and made significant contributions to the knowledge of other volcanic areas.

The following two sections present, albeit briefly, their work, significance, and influence to Italian volcanism with emphasis on those volcanoes in the Naples area.

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