Dryland ecosystems are particularly vulnerable to erosion generated by livestock grazing. Quantifying this risk across a variety of landscape settings is essential for successful adaptive management, particularly in light of a changing climate. In the Upper Colorado River Basin, there are nearly 25 000 km2 of rangelands with underlying soils derived from Mancos Shale, an erodible and saline geologic parent material. Salinity is a major concern within the Colorado River watershed, much of which is attributed to runoff and leaching from Mancos Shale deposits. In a 60-yr paired-watershed experiment in western Colorado, we used silt fences to measure differences in saline hillslope erosion, including both total sediment yield and concentrations of primary saline constituents (Na and Se), in watersheds that were either exposed to grazing or where livestock was excluded. After accounting for the strong effects of soil type, slope, and antecedent precipitation, we found that grazing increased sediment loss by ≈50% across our 8-yr time series (0.1–1.5 tn ha−1), consistent with levels reported at the watershed scale in early published work from studies at the same location. Eroded sediment Se levels were low and unaffected by grazing history, but Na concentrations were significantly reduced on grazed hillslopes, likely due to depletion of surface Na in soils exposed to chronic soil disturbance by livestock. Variable selection and path analysis identified that biological soil crust (BSC) cover, more than any other variable, explained the differences in sediment yields between grazed and ungrazed watersheds, partially through the enhancement of soil aggregate stability. Our results suggest that BSC cover should be granted heightened consideration in rangeland decision support tools (e.g., state-and-transition models) and that measures to reduce surface disturbance from livestock such as altering the timing or intensity of grazing may be effective for reducing downstream impacts.
Individuals should prefer and use habitats that confer high fitness, but habitat use is not always adaptive. Vegetation in natural landscapes changes gradually and the ability of species to adaptively adjust their habitat use to long-term changes is largely unstudied. We studied nest patch and territory use over 28 yr in Orange-crowned Warblers (Oreothlypis celata) in a system that has undergone natural long-term changes in vegetation. Abundance of maple (Acer grandidentatum), its preferred nesting habitat, gradually declined from 1987 to 2015. We examined whether habitat use and its fitness consequences changed as the availability of preferred habitat decreased. We used resource selection function models to determine changes over time in the probability of using a nest patch given available patches, and the probability of using a territory given available territories. We estimated nest survival to evaluate changes over time in the fitness consequences of nest patch use. We also compared habitat use (nest patch and territory) and fitness (nest survival) between areas with naturally reduced abundance of maple and experimentally increased abundance of maple (fenced areas). Nest patch use depended on maple abundance and did not change drastically across 28 yr, even though the availability of preferred maple patches decreased over time. In contrast, nest survival tended to decrease over time. We did not see differences in nest patch use and nest survival between unfenced and fenced areas, unlike territory use, which increased with the abundance of maple in fenced areas and decreased in unfenced areas. Our study depicts one example of relatively unchanged habitat use in the face of decreased availability of preferred vegetation across years, with a resulting decrease in reproductive success. Investigating changes in habitat use and fitness consequences for animals exposed to long-term habitat change is necessary to understand adaptive behavioral responses.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.1093/auk/ukz061","usgsCitation":"Fierro-Calderón, K., and Martin, T.E., 2020, Does vegetation change over 28 years affect habitat use and reproductive success?: The Auk, v. 137, no. 1, p. 1-9, https://doi.org/10.1093/auk/ukz061.","productDescription":"ukz061, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-107208","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":458549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/auk/ukz061","text":"Publisher Index Page"},{"id":393648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Mogollon Rim","volume":"137","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Fierro-Calderón, Karolina","contributorId":270677,"corporation":false,"usgs":false,"family":"Fierro-Calderón","given":"Karolina","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":829732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":829731,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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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Center","active":true,"usgs":true}],"preferred":true,"id":786809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786811,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":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":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":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.
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.
USA.
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.
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.
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":70215279,"text":"70215279 - 2020 - Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA","interactions":[],"lastModifiedDate":"2020-10-16T11:53:56.257709","indexId":"70215279","displayToPublicDate":"2019-10-14T14:14:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA","docAbstract":"Coastal systems in the Gulf of Mexico are threatened by reduced sediment supply, storm impacts and relative sea-level rise (RSLR). The geologic record provides insight into geomorphic evolution thresholds to these forcing mechanisms to help predict future barrier evolution in response to climate change. This study synthesizes ∼2100 km of geophysical data, 700 + sediment cores, and 62 radiocarbon dates to regionally map two lowstand sequence boundaries, multiple ravinement surfaces and fourteen depositional facies demonstrating stratigraphic and antecedent topographic influences on coastal evolution. The Mississippi-Alabama (MSAL) barriers are anchored by a marine isotope stage (MIS) 5e section of Dauphin Island coupled with an MIS 2 surface gradient change. Sand for the modern MSAL barriers were largely sourced through Holocene transgressive ravinement of relict valley fill deposits, providing up to 300 × 106 m3 of sand. Mud-filled MIS 2 tributaries correspond to areas of repeated storm breaching or tidal inlets.\n\nA Holocene geomorphic evolutionary model was created for Petit Bois and Dauphin Islands, highlighting RSLR rates, changes in sediment supply and the antecedent geologic framework. As the MIS 2 surface was flooded, tidal/wave scour supplied sand to migrating marine shoals. These transgressing shoals converted drowned paleovalleys to estuaries ∼9ka BP. Islands formed in their modern positions ∼6ka BP, when sediment supply was high and RSLR rates were 2 mm/yr. Between ∼4ka-1750 CE, islands prograded from reduced RSLR rates of 1-0.4 mm/yr and sufficient sand supply from alongshore/inner shelf sources. Currently, the islands experience 3.74 mm/yr of RSLR and reduced sediment supply, resulting in barrier degradation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.105910","usgsCitation":"Hollis, R.S., Wallace, D.J., Miner, M.D., Gal, N.S., Dike, C.H., and Flocks, J., 2020, Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA: Quaternary Science Reviews, v. 223, 105910, 24 p., https://doi.org/10.1016/j.quascirev.2019.105910.","productDescription":"105910, 24 p.","ipdsId":"IP-104001","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488434,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://aquila.usm.edu/masters_theses/598","text":"External Repository"},{"id":379381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"North-Central Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.40673828125,\n 29.897805610155874\n ],\n [\n -87.01171875,\n 29.897805610155874\n ],\n [\n -87.01171875,\n 30.694611546632277\n ],\n [\n -89.40673828125,\n 30.694611546632277\n ],\n [\n -89.40673828125,\n 29.897805610155874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollis, Robert S","contributorId":243055,"corporation":false,"usgs":false,"family":"Hollis","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Davin J","contributorId":243056,"corporation":false,"usgs":false,"family":"Wallace","given":"Davin","email":"","middleInitial":"J","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miner, Michael D","contributorId":243057,"corporation":false,"usgs":false,"family":"Miner","given":"Michael","email":"","middleInitial":"D","affiliations":[{"id":48626,"text":"The Water Institute of the Gulf, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":801453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gal, Nina S","contributorId":243058,"corporation":false,"usgs":false,"family":"Gal","given":"Nina","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dike, Clayton H","contributorId":243059,"corporation":false,"usgs":false,"family":"Dike","given":"Clayton","email":"","middleInitial":"H","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":801456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215095,"text":"70215095 - 2020 - Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","interactions":[],"lastModifiedDate":"2020-10-08T13:46:51.750002","indexId":"70215095","displayToPublicDate":"2019-10-11T08:38:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","docAbstract":"Degradation of wetland ecosystems has negatively impacted many species, perhaps none more so than marsh birds that breed in vegetative emergent wetlands throughout North America. The U.S. Department of Defense manages approximately 29 million acres of land within the continental U.S., and many military installations contain wetland complexes that may be important for wetland birds. Thus, failure to adequately manage habitat for marsh birds could result in species extirpations and additional listings under the Endangered Species Act, and may result in regulatory burdens that reduce military readiness. We conducted spatial analyses to identify important breeding habitat on > 500 military installations for 12 species of marsh birds, with the goal of identifying installations that are, and are not, likely to harbor breeding habitat for each species. We also sought to assess the local value of military installations for species of greatest concern by comparing habitat suitability within installations to that in areas directly adjacent to those sites. We built range-wide, spatially-explicit models of species distribution to project suitability of breeding habitat for marsh birds within and adjacent to military installations. Our results demonstrate that installations with the best marsh bird habitat are geographically aggregated (both among and within species), primarily at sites along the eastern seaboard and within the southern U.S. In addition, only a few sites appear to contain high-quality habitat for most species. Five or fewer sites contained most of the high-quality habitat for 9 of 12 species, whereas most of the high-quality habitat for remaining species was found at ≤ 10 sites. This work fills an information gap regarding the distribution of breeding habitat for marsh birds on military lands across the U.S., and should facilitate both strategic conservation of habitat over broad scales and the integration of marsh birds into management efforts at the site level. Our analyses also identify installations that are not likely to harbor breeding habitat for priority species, and thus should help minimize conflicts between needs of the military and marsh-bird conservation.
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wildfires that burn vegetation and create a condition of soil-water repellence (SWR). A new post-fire watershed hydrological model, PFHydro, was created to explicitly simulate vegetation interception and SWR effects for four burn severity categories: high, medium, low severity and unburned. The model was applied to simulate post-fire runoff from the Upper Cache Creek Watershed in California, USA. Nash–Sutcliffe modeling efficiency (NSE) was used to assess model performance. The NSE was 0.80 and 0.88 for pre-fire water years (WY) 2000 and 2015, respectively. NSE was 0.88 and 0.93 for WYs 2016 (first year post-fire) and 2017 respectively. The simulated percentage of surface runoff in total runoff of WY 2016 was about six times that of pre-fire WY 2000 and three times that of WY 2015. The modeling results suggest that SWR is an important factor for post-fire runoff generation. The model was successful at simulating SWR behavior.
Land use/land cover (LULC) change has significant impacts on nutrient loading to aquatic systems and has been linked to deteriorating water quality globally. While many relationships between LULC and nutrient loading have been identified, characterization of the interaction between LULC, climate (specifically variable hydrologic forcing) and solute export across seasonal and interannual time scales is needed to understand the processes that determine nutrient loading and responses to change. Recent advances in high-frequency water quality sensors provide opportunities to assess these interannual relationships with sufficiently high temporal resolution to capture the unpredictable, short-term storm events that likely drive important export mechanisms for dissolved organic carbon (DOC) and nitrate (NO3−–N). We deployed a network of in situ sensors in forested, agricultural, and urban watersheds across the northeastern United States. Using 2 years of high-frequency sensor data, we provide a regional assessment of how LULC and hydrologic variability affected the timing and magnitude of dissolved organic carbon and nitrate export, and the status of watershed fluxes as either supply or transport controlled. Analysis of annual export dynamics revealed systematic differences in the timing and magnitude of DOC and NO3−–N delivery among different LULC classes, with distinct regional similarities in the timing of DOC and NO3−–N fluxes from forested and urban watersheds. Conversely, export dynamics at agricultural sites appeared to be highly site-specific, likely driven by local agricultural practices and regulations. Furthermore, the magnitude of solute fluxes across watersheds responded strongly to interannual variability in rainfall, suggesting a high degree of hydrologic control over nutrient loading across the region. Thus, there is strong potential for climate-driven changes in regional hydrologic cycles to drive variation in the magnitude of downstream nutrient fluxes, particularly in watersheds where solute supply and/or transport has been modified.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-019-00609-x","usgsCitation":"Seybold, E., Gold, A.J., Inamdar, S.P., Adair, C., Bowden, W., Vaughan, M., Pradhanang, S.M., Addy, K., Shanley, J.B., Vermilyea, A.W., Levia, D., Wemple, B., and Schroth, A.W., 2020, Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA: Biogeochemistry, v. 146, p. 31-49, https://doi.org/10.1007/s10533-019-00609-x.","productDescription":"19 p.","startPage":"31","endPage":"49","ipdsId":"IP-107827","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":487702,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/geo_facpubs/160","text":"External 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surface water ontologies: A comparison of manual and automated approaches","docAbstract":"More data are being collected about the world around us than ever before, but effectively using this information requires different data stores to be integrated in such a way that they can be seamlessly queried and analyzed. Automated alignment algorithms exist to facilitate this data integration challenge. In this paper we examine the utility of two current leading automated alignment systems to integrate four ontologies from the surface water domain. We show that the performance of such systems in this domain lags behind their results on popular benchmarks, and therefore incorporate the alignment task described here into the set of benchmarks used by the alignment community. In addition, we show that, with minor modifications, existing alignment algorithms can be used effectively within a semi-automated alignment system for the surface water domain.","language":"English","publisher":"Springer","doi":"10.1007/s10109-019-00312-3","usgsCitation":"Cheatham, M., Varanka, D.E., Arauz, F., and Zhou, L., 2020, Alignment of surface water ontologies: A comparison of manual and automated approaches: Journal of Geographical Systems, v. 22, no. 2, p. 267-289, https://doi.org/10.1007/s10109-019-00312-3.","productDescription":"23 p.","startPage":"267","endPage":"289","ipdsId":"IP-101017","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":371902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheatham, Michelle","contributorId":222086,"corporation":false,"usgs":false,"family":"Cheatham","given":"Michelle","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":781126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arauz, Fatima","contributorId":222087,"corporation":false,"usgs":false,"family":"Arauz","given":"Fatima","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Lu","contributorId":222088,"corporation":false,"usgs":false,"family":"Zhou","given":"Lu","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70206983,"text":"70206983 - 2020 - Dissolved oxygen controls summer habitat of Clear Lake Hitch (Lavinia exilicauda chi), an imperilled potamodromous cyprinid","interactions":[],"lastModifiedDate":"2020-04-06T21:05:05.456323","indexId":"70206983","displayToPublicDate":"2019-10-03T08:36:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved oxygen controls summer habitat of Clear Lake Hitch (Lavinia exilicauda chi), an imperilled potamodromous cyprinid","docAbstract":"The Clear Lake Hitch is an imperiled minnow endemic to Clear Lake, Lake County, California, USA that is listed as threatened under the California Endangered Species Act (ESA) and is a candidate for listing under the United States ESA. It exhibits a potamodromous life cycle whereby adults, which reach up to 6+ years in age and over 350 mm in length, migrate into Clear Lake’s ephemeral tributaries briefly during spring to spawn. Conservation and management of Clear Lake Hitch is inhibited, in part, by a lack of information on the lacustrine distribution and habitat of non-breeding individuals within Clear Lake. To address this problem, we sampled Clear Lake Hitch with gill nets in a stratified random sampling design to determine the distribution and habitat associations in early summer 2017 and 2018. We identified abundance-habitat relationships for juvenile and adult Clear Lake Hitch using Bayesian zero-inflated negative binomial generalized linear mixed modeling. The results indicated that dissolved oxygen concentration was the most important habitat feature among those measured; both juvenile and adult Clear Lake Hitch were substantially more abundant in normoxic (> 2 mg l-1) than in hypoxic (< 2 mg l-1) habitat. Both life stages also exhibited weak positive relationships with chlorophyll fluorescence, suggesting that relatively productive habitats may support higher numbers of Clear Lake Hitch. Spatially, juveniles were most abundant in nearshore habitats while adults were ubiquitous, indicating an ontogentic habitat expansion that may be associated with a resource availability-predation risk tradeoff. Management actions undertaken to improve or alleviate water quality and hypoxia problems in Clear Lake would also improve Clear Lake Hitch habitat.","language":"English","publisher":"Wiley","doi":"10.1111/eff.12505","usgsCitation":"Feyrer, F.V., Young, M., Patton, O., and Ayers, D.E., 2020, Dissolved oxygen controls summer habitat of Clear Lake Hitch (Lavinia exilicauda chi), an imperilled potamodromous cyprinid: Ecology of Freshwater Fish, v. 29, no. 2, p. 188-196, https://doi.org/10.1111/eff.12505.","productDescription":"9 p.","startPage":"188","endPage":"196","ipdsId":"IP-107703","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":458630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12505","text":"Publisher Index Page"},{"id":369855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matt 0000-0001-9306-6866","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":220980,"corporation":false,"usgs":false,"family":"Young","given":"Matt","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":776458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Oliver 0000-0002-2911-7718","orcid":"https://orcid.org/0000-0002-2911-7718","contributorId":218217,"corporation":false,"usgs":true,"family":"Patton","given":"Oliver","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayers, David E. 0000-0001-5043-9722 dayers@usgs.gov","orcid":"https://orcid.org/0000-0001-5043-9722","contributorId":5604,"corporation":false,"usgs":true,"family":"Ayers","given":"David","email":"dayers@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776460,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227480,"text":"70227480 - 2020 - Stock-recruitment dynamics of a freshwater clupeid","interactions":[],"lastModifiedDate":"2022-01-19T12:54:52.994003","indexId":"70227480","displayToPublicDate":"2019-09-23T06:51:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Stock-recruitment dynamics of a freshwater clupeid","docAbstract":"The clupeid gizzard shad Dorosoma cepedianum is often the most abundant fish species in North American reservoirs, and this dominance can have cascading trophic effects on entire fish assemblages. Accordingly, a key aspect of managing reservoir fish assemblages involves controlling gizzard shad densities. We used a 33-year time series to evaluate the relative importance of parental stock density, winter temperature, and water regime on recruitment of age-0 gizzard shad in a large reservoir. Recruitment modeled with a Ricker-type curve increased with the size of the adult stock, peaked, and then decreased at high stock densities. This over-compensatory stock-recruitment relationship was made more dynamic by fluctuations in inflow, with recruitment increasing in years of high inflow, however there was no temperature effect at the latitude of the study site. The influence of stock size on recruitment was roughly twice as high as the influence of inflow. This study is the first to report stock-recruitment relationships for a clupeid species in a reservoir and concurs with analyses of marine fishes that have shown that most clupeids exhibit compensatory or over-compensatory patterns in their stock-recruitment relationships.