Recently, researchers have recognized the significant role of small mountainous river systems in the transport of carbon from terrestrial environments to the ocean, and the scale of such studies have ranged from channel bed units to continents. In temperate zones, these mountain river systems commonly drain catchments that are largely forested. However, the magnitude of carbon export from rivers draining old-growth redwood forests has not been evaluated to date. Old-growth redwood stands support some of the largest quantities of biomass in the world, up to 350 000 Mg of stem biomass km-2 and soil organic carbon can reach 46 800 Mg km-2. In north coastal California, suspended sediment samples were collected at three gaging stations for two to four years on streams draining old-growth redwood forests. Carbon content, determined through loss-on-ignition tests, was strongly correlated with turbidity, and continuous turbidity records from the gaging stations were used to estimate annual carbon exports of 1 · 6 to 4 · 2 Mg km-2 yr-1. These values, representing 13 to 33% of the suspended sediment load, are some of the highest percentages reported in the global literature. The fraction of organic carbon as part of the suspended sediment load decreased with discharge, but reached an asymptote of 5 to 10% at flows 10 to 20 times the mean annual flows. Although larger rivers in this region exhibit high sediment yields (up to 3600 Mg km-2 yr-1), mainly attributed to high rates of uplift, mass movement, and timber harvest, the small pristine streams in this study have sediment yields of only 8 to 100 Mg km-2 yr-1. Because the current extent of old-growth redwood stands is less than 5% of its pre-European-settlement distribution, the present organic carbon signature in suspended sediment loads in this region is likely different from that in the early 20th century. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.3752","usgsCitation":"Madej, M.A., 2015, Export of fine particulate organic carbon from redwood-dominated catchments: Earth Surface Processes and Landforms, v. 40, no. 11, p. 1533-1541, https://doi.org/10.1002/esp.3752.","productDescription":"9 p.","startPage":"1533","endPage":"1541","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065605","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":307203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.60693359374999,\n 38.42777351132905\n ],\n [\n -124.60693359374999,\n 41.80407814427237\n ],\n [\n -122.89306640624999,\n 41.80407814427237\n ],\n [\n -122.89306640624999,\n 38.42777351132905\n ],\n [\n -124.60693359374999,\n 38.42777351132905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"11","noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"55dc402fe4b0518e354d10ff","chorus":{"doi":"10.1002/esp.3752","url":"http://dx.doi.org/10.1002/esp.3752","publisher":"Wiley-Blackwell","authors":"Madej Mary Ann","journalName":"Earth Surface Processes and Landforms","publicationDate":"6/25/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":569344,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98716,"text":"gip114 - 2015 - Internships, employment opportunities, and research grants","interactions":[{"subject":{"id":86263,"text":"gip80 - 2008 - Internships, employment opportunities, and research grants","indexId":"gip80","publicationYear":"2008","noYear":false,"title":"Internships, employment opportunities, and research grants"},"predicate":"SUPERSEDED_BY","object":{"id":98716,"text":"gip114 - 2015 - Internships, employment opportunities, and research grants","indexId":"gip114","publicationYear":"2015","noYear":false,"title":"Internships, employment opportunities, and research grants"},"id":1},{"subject":{"id":98716,"text":"gip114 - 2015 - Internships, employment opportunities, and research grants","indexId":"gip114","publicationYear":"2015","noYear":false,"title":"Internships, employment opportunities, and research grants"},"predicate":"SUPERSEDED_BY","object":{"id":70223127,"text":"gip211 - 2021 - Student and recent graduate opportunities","indexId":"gip211","publicationYear":"2021","noYear":false,"title":"Student and recent graduate opportunities"},"id":2}],"supersededBy":{"id":70223127,"text":"gip211 - 2021 - Student and recent graduate opportunities","indexId":"gip211","publicationYear":"2021","noYear":false,"title":"Student and recent graduate opportunities"},"lastModifiedDate":"2022-11-03T17:47:55.380069","indexId":"gip114","displayToPublicDate":"2016-08-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"114","title":"Internships, employment opportunities, and research grants","docAbstract":"As an unbiased, multidisciplinary science organization, the U.S. Geological Survey (USGS) is dedicated to the timely, relevant, and impartial study of the health of our ecosystems and environment, our natural resources, the impacts of climate and land-use change, and the natural hazards that threaten us. Opportunities for undergraduate and graduate students and faculty to participate in USGS science are available in the selected programs described below. Please note: U.S. citizenship is required for all government positions.
This publication has been superseded by USGS General Information Product 165 Grant Opportunities for Academic Research and Training and USGS General Information Product 166 Student and Recent Graduate Employment Opportunities.
This publication is proceeded by USGS General Information Product 80 Internships, Employment Opportunities, and Research Grants published in 2008.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip114","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2015, Internships, employment opportunities, and research grants (Version 1.0: Originally posted September 2010; Version 2.0: September 2011; Version 2.1: March 13, 2012; Version 3.0: September 12, 2013; Version 4.0: August 3, 2015): U.S. Geological Survey General Information Product 114, 4 p., https://doi.org/10.3133/gip114.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":14124,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/114/","linkFileType":{"id":5,"text":"html"}},{"id":339860,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/114/pdf/gip114.pdf"},{"id":126381,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/114/images/coverthb2.jpg"}],"edition":"Version 1.0: Originally posted September 2010; Version 2.0: September 2011; Version 2.1: March 13, 2012; Version 3.0: September 12, 2013; Version 4.0: August 3, 2015","publicComments":"Supersedes General Information Product 80","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e06b1","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535040,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148677,"text":"sir20155087 - 2015 - Effects of groundwater pumping on agricultural drains in the Tule Lake subbasin, Oregon and California","interactions":[],"lastModifiedDate":"2016-08-08T09:08:08","indexId":"sir20155087","displayToPublicDate":"2016-07-28T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5087","title":"Effects of groundwater pumping on agricultural drains in the Tule Lake subbasin, Oregon and California","docAbstract":"Since 2001, irrigators in the upper Klamath Basin have increasingly turned to groundwater to compensate for reductions in surface-water allocation caused by shifts from irrigation use to instream flows for Endangered Species Act listed fishes. The largest increase in groundwater pumping has been in and around the Bureau of Reclamation’s Klamath Irrigation Project, which includes the Tule Lake subbasin in the southern part of the upper Klamath Basin. Agricultural drains on the Klamath Project are an important source of water for downstream irrigators and for the Tule Lake and Lower Klamath Lake National Wildlife Refuges. U.S. Geological Survey regional groundwater-flow model simulations and records of irrigation-return flow pumped from the Tule Lake subbasin into the adjacent Lower Klamath Lake subbasin have indicated that water-level declines from pumping may be causing decreased flow of shallow groundwater to agricultural drains.
\nTo better define the effect of increased pumping on drain flow and on the water balance of the groundwater system, the annual water volume pumped from drains in three subareas of the Tule Lake subbasin was estimated and a fine-grid, local groundwater model of the Tule Lake subbasin was constructed. Results of the agricultural-drain flow analysis indicate that groundwater discharge to drains has decreased such that flows in 2012 were approximately 32,400 acre-ft less than the 1997–2000 average flow. This decrease was concentrated in the northern and southeastern parts of the subbasin, which corresponds with the areas of greatest groundwater pumping. Model simulation results of the Tule Lake subbasin groundwater model indicate that increased supplemental pumping is the dominant stress to the groundwater system in the subbasin. Simulated supplemental pumping and decreased recharge from irrigation between 2000 and 2010 totaled 323,573 acre-ft, 234,800 acre-ft (73 percent) of which was from supplemental pumping. The response of the groundwater system to this change in stress included about 180,500 acre-ft (56 percent) of decreased groundwater discharge to drains and a 126,000 acre-ft (39 percent) reduction in aquifer storage. The remaining 5 percent came from reduced groundwater flow to other model boundaries, including the Lost River, the Tule Lake sumps, and interbasin flow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155087","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the U.S. Fish and Wildlife Service","usgsCitation":"Pischel, E.M., and Gannett, M.W., 2015, Effects of groundwater pumping on agricultural drains in the Tule Lake subbasin, Oregon and California: U.S. Geological Survey Scientific Investigations Report 2015–5087, 44 p.,\nhttps://dx.doi.org/10.3133/sir20155087.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055376","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":305972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5087/coverthb.jpg"},{"id":305973,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5087/sir20155087.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5087"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Tule Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.58020019531249,\n 41.80817277478235\n ],\n [\n -121.58020019531249,\n 42.04317376494972\n ],\n [\n -121.3604736328125,\n 42.04317376494972\n ],\n [\n -121.3604736328125,\n 41.80817277478235\n ],\n [\n -121.58020019531249,\n 41.80817277478235\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov
Climate, sea level rise, and urbanization are undergoing unprecedented levels of combined change and are expected to have large effects on natural resources—particularly along the Gulf of Mexico coastline (Gulf Coast). Management decisions to address these effects (i.e., adaptation) require an understanding of the relative vulnerability of various resources to these stressors. To meet this need, the four Landscape Conservation Cooperatives along the Gulf partnered with the Gulf of Mexico Alliance to conduct this Gulf Coast Vulnerability Assessment (GCVA). Vulnerability in this context incorporates the aspects of exposure and sensitivity to threats, coupled with the adaptive capacity to mitigate those threats. Potential impact and adaptive capacity reflect natural history features of target species and ecosystems. The GCVA used an expert opinion approach to qualitatively assess the vulnerability of four ecosystems: mangrove, oyster reef, tidal emergent marsh, and barrier islands, and a suite of wildlife species that depend on them. More than 50 individuals participated in the completion of the GCVA, facilitated via Ecosystem and Species Expert Teams. Of the species assessed, Kemp’s ridley sea turtle was identified as the most vulnerable species across the Gulf Coast. Experts identified the main threats as loss of nesting habitat to sea level rise, erosion, and urbanization. Kemp’s ridley also had an overall low adaptive capacity score due to their low genetic diversity, and higher nest site fidelity as compared to other assessed species. Tidal emergent marsh was the most vulnerable ecosystem, due in part to sea level rise and erosion. In general, avian species were more vulnerable than fish because of nesting habitat loss to sea level rise, erosion, and potential increases in storm surge. Assessors commonly indicated a lack of information regarding impacts due to projected changes in the disturbance regime, biotic interactions, and synergistic effects in both the species and habitat assessments. Many of the assessors who focused on species also identified data gaps regarding genetic information, phenotypic plasticity, life history, and species responses to past climate change and sea level rise. Regardless of information gaps, the results from the GCVA can be used to inform Gulf-wide adaptation plans. Given the scale of climatic impacts, coordinated efforts to address Gulf-wide threats to species and ecosystems will enhance the effectiveness of management actions and also have the potential to maximize the efficacy of limited funding.
","language":"English","publisher":"Gulf Coast Prairie Landscape Conservation Cooperative","collaboration":"Amanda Watson; Joshua Reece; Cynthia Kallio Edwards; Laura Geselbracht; Mark Woodrey; Megan LaPeyre; P. Soupy Daylander","usgsCitation":"Watson, A., Reece, J.S., Tirpak, B., Edwards, C.K., Geselbracht, L., Woodrey, M., LaPeyre, M.K., and Dalyander, P., 2015, The Gulf Coast Vulnerability Assessment: Mangrove, Tidal Emergent Marsh, Barrier Islands, and Oyster Reef.","startPage":"1-132","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067311","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":325345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311396,"type":{"id":15,"text":"Index Page"},"url":"https://gulfcoastprairielcc.org/science/science-projects/gulf-coast-vulnerability-assessment/"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578cac34e4b0c1aacabb4a7d","contributors":{"authors":[{"text":"Watson, Amanda","contributorId":149887,"corporation":false,"usgs":false,"family":"Watson","given":"Amanda","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":579920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reece, Joshua S.","contributorId":84654,"corporation":false,"usgs":true,"family":"Reece","given":"Joshua","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":579921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tirpak, Blair 0000-0002-2679-8378 btirpak@usgs.gov","orcid":"https://orcid.org/0000-0002-2679-8378","contributorId":149886,"corporation":false,"usgs":true,"family":"Tirpak","given":"Blair","email":"btirpak@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":579919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Cynthia Kallio","contributorId":149888,"corporation":false,"usgs":false,"family":"Edwards","given":"Cynthia","email":"","middleInitial":"Kallio","affiliations":[{"id":17849,"text":"Wildlife Management Institute","active":true,"usgs":false}],"preferred":false,"id":579922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geselbracht, Laura","contributorId":149889,"corporation":false,"usgs":false,"family":"Geselbracht","given":"Laura","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":579923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodrey, Mark","contributorId":149890,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":579924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":579925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":149892,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","email":"sdalyander@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579926,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70159800,"text":"70159800 - 2015 - Dynamic reserve design in the face of climate change and urbanization","interactions":[],"lastModifiedDate":"2016-07-17T23:36:08","indexId":"70159800","displayToPublicDate":"2016-07-01T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Dynamic reserve design in the face of climate change and urbanization","docAbstract":"Reserve design is a process that must address many ecological, social, and political factors to successfully identify parcels of land in need of protection to sustain wildlife populations and other natural resources. Making land acquisition choices for a large, terrestrial protected area is difficult because it occurs over a long timeframe and may involve consideration future conditions such as climate and urbanization changes. Decision makers need to consider factors including: order of parcel purchasing given budget constraints, future uncertainty, potential future landscape‐scale changes from urbanization and climate. In central Florida, two new refuges and the expansion of a third refuge are in various stages of USFWS planning. The Everglades Headwaters National Wildlife Refuge (EHNWR) has recently been established, is at the top of the Presidential Administration’s priority conservation areas, and is cited by the Secretary of DOI routinely in the context of conservation. The new refuges were strategically located for both for species adaptation from climate change impacts as well as currently being host to a number of important threatened and endangered species and habitats. We plan to combine a structured decision making framework, optimal solution theory, and output from ecological and sociological models (these modeling efforts were previously funded by DOI partners) that incorporate climate change to provide guidance for EHNWR reserve design. Utilizing a SDM approach and optimal solution theory, decision support tools will be developed that will incorporate stakeholder and agency objectives into targeting conservation lands both through fee simple purchase and other incentives such as easements based on ecological and socioeconomic modeling outputs driven by climate change.
","language":"English","publisher":"Southeast Climate Science Center website","usgsCitation":"Romanach, S.S., Johnson, F.A., Stith, B., and Bonneau, M., 2015, Dynamic reserve design in the face of climate change and urbanization.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070665","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":325344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311681,"type":{"id":15,"text":"Index Page"},"url":"https://globalchange.ncsu.edu/secsc/projects/dynamic-reserve-design-in-the-face-of-climate-change-and-urbanization/"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578cac30e4b0c1aacabb4a60","contributors":{"authors":[{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":580508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":580509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":580510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":580511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173774,"text":"70173774 - 2015 - Feather isotope analysis reveals differential patterns of habitat and resource use in populations of white-winged doves","interactions":[],"lastModifiedDate":"2016-06-09T09:12:04","indexId":"70173774","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2015","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":"Feather isotope analysis reveals differential patterns of habitat and resource use in populations of white-winged doves","docAbstract":"The white-winged dove (Zenaida asiatica) serves an important ecological role as a diurnal pollinator of the saguaro cactus in the Sonoran desert and an economic role as a highly sought after game bird in North America. White-winged doves are intimately linked to anthropogenic changes on the landscape and because of this, have experienced dramatic population fluctuations over the last 75 years in response, both positively and negatively, to anthropogenic changes on the landscape. To understand the factors driving population growth and decline of migratory species like the white-winged dove, it is imperative we study resource use on both their breeding and wintering grounds. To understand how populations are distributed on the wintering grounds, we tested an alternative to band recovery approaches by using stable isotope analysis. Before we could use isotope analysis to link breeding and wintering locations for this species, we first needed to determine if hydrogen (δ2H) and carbon (δ13C) stable isotopes in feather tissue (δ2Hf and δ13Cf, respectively) could differentiate among populations of white-winged doves across their breeding range in Texas, New Mexico, and Arizona. δ2Hf and δ13Cf not only differentiated between populations of white-winged doves that breed in the United States, but δ2Hf also provided further differentiation in white-winged doves that breed in native Sonoran Desert and agricultural habitats in the western portion of their range. Ecological processes associated with desert resources and anthropogenic influences, specifically saguaro cacti and irrigated crops, largely determined δ2Hf in some white-winged doves in Arizona whereas δ2H of precipitation (δ2Hp) largely determined δ2Hfof doves in New Mexico and Texas. This study highlights the usefulness of stable isotope analysis to differentiate populations of animals across the landscape and the insight isotopes can provide into habitat and resource use. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.916","usgsCitation":"Carleton, S.A., Martinez Del Rio, C., and Robinson, T., 2015, Feather isotope analysis reveals differential patterns of habitat and resource use in populations of white-winged doves: Journal of Wildlife Management, v. 79, no. 6, p. 948-956, https://doi.org/10.1002/jwmg.916.","productDescription":"9 p.","startPage":"948","endPage":"956","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059087","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, New Mexico, 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\"}}]}","volume":"79","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-22","publicationStatus":"PW","scienceBaseUri":"5776349ce4b07dd077c829b8","contributors":{"authors":[{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez Del Rio, Carlos","contributorId":171635,"corporation":false,"usgs":false,"family":"Martinez Del Rio","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":638152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Timothy J.","contributorId":171636,"corporation":false,"usgs":false,"family":"Robinson","given":"Timothy J.","affiliations":[],"preferred":false,"id":638153,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173571,"text":"70173571 - 2015 - Factors influencing recruitment of walleye and white bass to three distinct early ontogenetic stages","interactions":[],"lastModifiedDate":"2016-09-06T13:59:58","indexId":"70173571","displayToPublicDate":"2016-06-13T16:00:00","publicationYear":"2015","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":"Factors influencing recruitment of walleye and white bass to three distinct early ontogenetic stages","docAbstract":"Determining the factors that influence recruitment to sequential ontogenetic stages is critical for understanding recruitment dynamics of fish and for effective management of sportfish, particularly in dynamic and unpredictable environments. We sampled walleye (Sander vitreus) and white bass (Morone chrysops) at 3 ontogenetic stages (age 0 during spring: ‘age-0 larval’; age 0 during autumn: ‘age-0 juvenile’; and age 1 during autumn: ‘age-1 juvenile’) from 3 reservoirs. We developed multiple linear regression models to describe factors influencing age-0 larval, age-0 juvenile and age-1 juvenile walleye and white bass abundance indices. Our models explained 40–80% (68 ± 9%; mean ± SE) and 71%–97% (81 ± 6%) of the variability in catch for walleye and white bass respectively. For walleye, gizzard shad were present in the candidate model sets for all three ontogenetic stages we assessed. For white bass, there was no unifying variable in all three stage-specific candidate model sets, although walleye abundance was present in two of the three white bass candidate model sets. We were able to determine several factors affecting walleye and white bass year-class strength at multiple ontogenetic stages; comprehensive analyses of factors influencing recruitment to multiple early ontogenetic stages are seemingly rare in the literature. Our models demonstrate the interdependency among early ontogenetic stages and the complexities involved with sportfish recruitment.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/eff.12229","usgsCitation":"DeBoer, J.A., and Pope, K.L., 2015, Factors influencing recruitment of walleye and white bass to three distinct early ontogenetic stages: Ecology of Freshwater Fish, v. 25, no. 4, p. 504-517, https://doi.org/10.1111/eff.12229.","productDescription":"14 p.","startPage":"504","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057415","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12229","text":"Publisher Index Page"},{"id":323513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-29","publicationStatus":"PW","scienceBaseUri":"575fcb1de4b04f417c2b266d","chorus":{"doi":"10.1111/eff.12229","url":"http://dx.doi.org/10.1111/eff.12229","publisher":"Wiley-Blackwell","authors":"DeBoer Jason A., Pope Kevin L.","journalName":"Ecology of Freshwater Fish","publicationDate":"5/29/2015","auditedOn":"11/12/2016"},"contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":638584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637353,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173769,"text":"70173769 - 2015 - Range-wide wetland associations of the King Rail: A multi-scale approach","interactions":[],"lastModifiedDate":"2016-06-09T13:17:28","indexId":"70173769","displayToPublicDate":"2016-06-09T14:15:00","publicationYear":"2015","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":"Range-wide wetland associations of the King Rail: A multi-scale approach","docAbstract":"King Rail populations have declined and identifying wetland features that influence King Rail occupancy can help prevent further population declines. We integrated continent-wide marsh bird survey data with spatial wetland data from the National Wetland Inventory (NWI) to examine wetland features that influenced King Rail occupancy throughout the species’ range. We analyzed wetland data at 7 spatial scales to examine the scale(s) at which 68 wetland features were most strongly related to King Rail occupancy. Occupancy was most strongly associated with estuarine features and brackish and tidal saltwater regimes. King Rail occupancy was positively associated with emergent and scrub-shrub wetlands and negatively associated with forested wetlands. The best spatial scale for assessing King Rail occupancy differed among wetland features; we could not identify one spatial scale (among all wetland features) that best explained variation in occupancy. Future research on King Rail habitat that includes multiple spatial scales is more likely to identify the suite of features that influence occupancy. Our results indicate that NWI data may be useful for predicting occupancy based on broad habitat features across the King Rail’s range, which may help inform management decisions for this and other wetland-dependent birds.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-015-0648-0","usgsCitation":"Glisson, W.J., Conway, C.J., Nadeau, C.P., Borgmann, K.L., and Laxson, T.A., 2015, Range-wide wetland associations of the King Rail: A multi-scale approach: Wetlands, v. 35, no. 3, p. 557-587, https://doi.org/10.1007/s13157-015-0648-0.","productDescription":"11 p.","startPage":"557","endPage":"587","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061708","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-18","publicationStatus":"PW","scienceBaseUri":"575a8523e4b04f417c27108f","contributors":{"authors":[{"text":"Glisson, Wesley J.","contributorId":171646,"corporation":false,"usgs":false,"family":"Glisson","given":"Wesley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638202,"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":638146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borgmann, Kathi L.","contributorId":171647,"corporation":false,"usgs":false,"family":"Borgmann","given":"Kathi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laxson, Thomas A.","contributorId":171648,"corporation":false,"usgs":false,"family":"Laxson","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638205,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137961,"text":"70137961 - 2015 - Interactions of water quality and integrated groundwater management: Examples from the United States and Europe","interactions":[],"lastModifiedDate":"2023-01-03T15:10:26.280447","indexId":"70137961","displayToPublicDate":"2016-06-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Interactions of water quality and integrated groundwater management: Examples from the United States and Europe","docAbstract":"Groundwater is available in many parts of the world, but the quality of the water may limit its use. Contaminants can limit the use of groundwater through concerns associated with human health, aquatic health, economic costs, or even societal perception. Given this broad range of concerns, this chapter focuses on examples of how water quality issues influence integrated groundwater management. One example evaluates the importance of a naturally occurring contaminant Arsenic (As) for drinking water supply, one explores issues resulting from agricultural activities on the land surface and factors that influence related groundwater management, and the last examines unique issues that result from human-introduced viral pathogens for groundwater-derived drinking water vulnerability. The examples underscore how integrated groundwater management lies at the intersections of environmental characterization, engineering constraints, societal needs, and human perception of acceptable water quality. As such, water quality factors can be a key driver for societal decision making.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Integrated groundwater management: Concepts, approaches and challenges","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-23576-9_14","usgsCitation":"Warner, K., Barataud, F., Hunt, R.J., Benoit, M., Anglade, J., and Borchardt, M., 2015, Interactions of water quality and integrated groundwater management: Examples from the United States and Europe, chap. 14 of Integrated groundwater management: Concepts, approaches and challenges, p. 347-376, https://doi.org/10.1007/978-3-319-23576-9_14.","productDescription":"30 p.","startPage":"347","endPage":"376","ipdsId":"IP-059683","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":489227,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-23576-9_14","text":"Publisher Index Page"},{"id":341665,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb7e4b0b7ff9fb4896f","contributors":{"authors":[{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barataud, Fabienne","contributorId":138682,"corporation":false,"usgs":false,"family":"Barataud","given":"Fabienne","email":"","affiliations":[{"id":12489,"text":"DIM Agrosciences, Ecologie des Territoires, Alimentation (ASTREA), France","active":true,"usgs":false}],"preferred":false,"id":538331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benoit, Marc","contributorId":138683,"corporation":false,"usgs":false,"family":"Benoit","given":"Marc","email":"","affiliations":[{"id":12490,"text":"French National Institute for Agricultural Research","active":true,"usgs":false}],"preferred":false,"id":538332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anglade, Juliette","contributorId":138684,"corporation":false,"usgs":false,"family":"Anglade","given":"Juliette","email":"","affiliations":[{"id":12491,"text":"Pierre and Marie Curie University, France","active":true,"usgs":false}],"preferred":false,"id":538333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":538334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159315,"text":"70159315 - 2015 - Final project memorandum: sea-level rise modeling handbook: resource guide for resource managers, engineers, and scientists","interactions":[],"lastModifiedDate":"2016-07-11T15:43:49","indexId":"70159315","displayToPublicDate":"2016-06-06T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Final project memorandum: sea-level rise modeling handbook: resource guide for resource managers, engineers, and scientists","docAbstract":"Coastal wetlands of the Southeastern United States are undergoing retreat and migration from increasing tidal inundation and saltwater intrusion attributed to climate variability and sea-level rise. Much of the literature describing potential sea-level rise projections and modeling predictions are found in peer-reviewed academic journals or government technical reports largely suited to reading by other Ph.D. scientists who are more familiar or engaged in the climate change debate. Various sea-level rise and coastal wetland models have been developed and applied of different designs and scales of spatial and temporal complexity for predicting habitat and environmental change that have not heretofore been synthesized to aid natural resource managers of their utility and limitations. Training sessions were conducted with Federal land managers with U.S. Fish and Wildlife Service, National Park Service, and NOAA National Estuarine Research Reserves as well as state partners and nongovernmental organizations across the northern Gulf Coast from Florida to Texas to educate and to evaluate user needs and understanding of concepts, data, and modeling tools for projecting sea-level rise and its impact on coastal habitats and wildlife. As a result, this handbook was constructed from these training and feedback sessions with coastal managers and biologists of published decision-support tools and simulation models for sea-level rise and climate change assessments. A simplified tabular context was developed listing the various kinds of decision-support tools and ecological models along with criteria to distinguish the source, scale, and quality of information input and geographic data sets, physical and biological constraints and relationships, datum characteristics of water and land elevation components, utility options for setting sea-level rise and climate change scenarios, and ease or difficulty of storing, displaying, or interpreting model output. The handbook is designed to be a primer to understanding sea-level rise and a practical synthesis of the current state of knowledge and modeling tools as a resource guide for DOl land management needs and facilitating Landscape Conservation Cooperative (LCC) research and conservation initiatives.
","language":"English","collaboration":"Southeast Climate Science Center","usgsCitation":"Doyle, T.W., 2015, Final project memorandum: sea-level rise modeling handbook: resource guide for resource managers, engineers, and scientists.","productDescription":"8 p.","startPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065874","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":310250,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencebase.gov/catalog/item/560c29c2e4b058f706e540f9","text":"Final Memo for A Handbook for Resource Managers to Understand and Utilize Sea-Level Rise and Coastal Wetland Models for Ecosystem Management under Future Conditions","size":"120.61 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Final Memo for A Handbook for Resource Managers to Understand and Utilize Sea-Level Rise and Coastal Wetland Models for Ecosystem Management under Future Conditions"},{"id":322358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5756909de4b023b96ec20aa0","contributors":{"authors":[{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":577988,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199658,"text":"70199658 - 2015 - Late Jurassic – early Cretaceous inversion of rift structures, and linkage of petroleum system elements across post-rift unconformity, U.S. Chukchi Shelf, arctic Alaska","interactions":[],"lastModifiedDate":"2018-09-24T13:35:36","indexId":"70199658","displayToPublicDate":"2016-05-24T13:28:22","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Late Jurassic – early Cretaceous inversion of rift structures, and linkage of petroleum system elements across post-rift unconformity, U.S. Chukchi Shelf, arctic Alaska","docAbstract":"Basin evolution of the U.S. Chukchi shelf involved multiple phases, including Late Devonian–Permian rifting, Permian–Early Jurassic sagging, Late Jurassic–Neocomian inversion, and Cretaceous–Cenozoic foreland-basin development. The focus of ongoing exploration is a petroleum system that includes sag-phase source rocks; inversion-phase reservoir rocks; structure spanning the rift, sag, and inversion phases; and hydrocarbon generation during the foreland-basin phase.
Interpretation of 2-D seismic and sparse well data documents the presence, in the south-central part of the shelf, of a series of en-echelon, north-south trending monoclonal fold limbs that display up to 1+ km (3,300 ft) of structural relief. These folds, which are located above the tips of rift-phase normal faults, are interpreted as inversion structures formed by maximum compressive stress oriented obliquely to the strike of rift-phase normal faults. Erosional relief on a Jurassic unconformity, growth strata in the overlying Upper Jurassic to Neocomian strata, and east-dipping clinoforms in a high accommodation depocenter east of the inversion structures indicate profound structural influence on sedimentation.
Oil-prone source rocks, reservoir-quality sandstone, migration pathways, and structural closure are linked intimately across the Jurassic unconformity, which reflects inversion. Thus, all these key petroleum systems elements were in place when Triassic source rocks entered the oil generation window during Cretaceous–Cenozoic stratigraphic burial.
","largerWorkTitle":"Petroleum Systems in \"Rift\" Basins","conferenceTitle":"34th Annual GCSSEPM Foundation Perkins-Rosen Research Conference","conferenceDate":"December 13-16, 2015","language":"English","usgsCitation":"Houseknecht, D.W., and Connors, C.D., 2015, Late Jurassic – early Cretaceous inversion of rift structures, and linkage of petroleum system elements across post-rift unconformity, U.S. Chukchi Shelf, arctic Alaska, in Petroleum Systems in \"Rift\" Basins, v. 34, December 13-16, 2015, p. 724-743.","productDescription":"20 p.","startPage":"724","endPage":"743","ipdsId":"IP-068523","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357686,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gcsproceedings.sepmonline.org/content/gcs034/1/SEC27.abstract"}],"volume":"34","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03459e4b0fc368eb53a9c","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connors, Christopher D. 0000-0001-7843-8844","orcid":"https://orcid.org/0000-0001-7843-8844","contributorId":146546,"corporation":false,"usgs":false,"family":"Connors","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":746095,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170984,"text":"70170984 - 2015 - Local climate and cultivation, but not ploidy, predict functional trait variation in Bouteloua gracilis (Poaceae)","interactions":[],"lastModifiedDate":"2016-05-17T09:10:05","indexId":"70170984","displayToPublicDate":"2016-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Local climate and cultivation, but not ploidy, predict functional trait variation in Bouteloua gracilis (Poaceae)","docAbstract":"Efforts to improve the diversity of seed 18 resources for important restoration species has become a high priority for land managers in many parts of the world. Relationships between functional trait values and the environment from which seed sources are collected can provide important insights into patterns of local adaptation and guidelines for seed transfer. However, little is known about which functional traits exhibit genetic differentiation across populations of restoration species and thus may contribute to local adaptation. Here, we report the results of a common garden experiment aimed at assessing genetic (including ploidy level) and environmental regulation of several functional traits among populations of Bouteloua gracilis, a dominant C4 grass and the most highly utilized restoration species across much of the Colorado Plateau. We found that leaf size and specific leaf area (SLA) varied significantly among populations, and were strongly correlated with the source population environment from which seeds were collected. However, variation in ploidy level had no significant effect on functional traits. Leaves of plants grown from commercial seed releases were significantly larger and had lower SLA than those from natural populations, a result that is concordant with the overall relation between climate and these two functional traits. We suggest that the patterns of functional trait variation shown here may extend to other grass species in the western USA, and may serve as useful proxies for more extensive genecology research. Furthermore, we argue that care should be taken to develop commercial seed lines with functional trait values that match those of natural populations occupying climates similar to target restoration sites.
","language":"English","publisher":"Springer","doi":"10.1007/s11258-015-0510-8","usgsCitation":"Butterfield, B.J., and Wood, T.E., 2015, Local climate and cultivation, but not ploidy, predict functional trait variation in Bouteloua gracilis (Poaceae): Plant Ecology, v. 216, no. 10, p. 1341-1349, https://doi.org/10.1007/s11258-015-0510-8.","productDescription":"9 p.","startPage":"1341","endPage":"1349","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065739","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":321269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"216","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"574d5667e4b07e28b667f77e","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":629328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":629327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171049,"text":"70171049 - 2015 - Nest-site characteristics of Glyptemys muhlenbergii (Bog Turtle) in New Jersey and Pennsylvania","interactions":[],"lastModifiedDate":"2016-05-18T09:07:01","indexId":"70171049","displayToPublicDate":"2016-05-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Nest-site characteristics of Glyptemys muhlenbergii (Bog Turtle) in New Jersey and Pennsylvania","docAbstract":"Nest-site selection can affect both the survival and fitness of female turtles and their offspring. In many turtle species, the nest environment determines the thermal regime during incubation, length of incubation period, sex ratio of the hatchlings, and exposure to predators and other forms of mortality for both mothers and their offspring. Between 1974 and 2012, we collected detailed data on habitat variables at 66 Glyptemys muhlenbergii (Bog Turtle) nests in 9 different bogs, fens, and wetland complexes in New Jersey and Pennsylvania. The nests had a mean elevation above the substrate of 8.2 cm, and many were shallow and located in raised tussocks of grass or sedges. Females covered most nests, but we also observed partially or completely uncovered eggs. Some females deposited eggs in communal nests; we found 4 nests with 2 separate clutches, and 2 nests with 3 clutches. Principal component analysis confirmed the importance of cover and vegetation to nest-site selection in this species. Availability of open, shade-free, wet nesting areas is an important habitat requirement for Bog Turtles.
","language":"English","publisher":"Eagle Hill Institute","usgsCitation":"Zappalorti, R.T., Lovich, J.E., Farrell, R.F., and Torocco, M.E., 2015, Nest-site characteristics of Glyptemys muhlenbergii (Bog Turtle) in New Jersey and Pennsylvania: Northeastern Naturalist, v. 22, no. 3, p. 573-584.","productDescription":"12 p.","startPage":"573","endPage":"584","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058583","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":321370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321365,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/NENAonline/articles/NENA-22-3/19-Zappolorti.shtml"}],"country":"United States","state":"New Jersey, Pennsylvania","volume":"22","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"573d9232e4b0dae0d5e58314","contributors":{"authors":[{"text":"Zappalorti, Robert T.","contributorId":169450,"corporation":false,"usgs":false,"family":"Zappalorti","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":25511,"text":"Herpetological Associates, Inc., Plant and Wildlife Consultants, 575 Toms River Road, Jackson, NJ 08527 USA. Corresponding author e-mail: RZappalort@aol.com","active":true,"usgs":false}],"preferred":false,"id":629684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":629683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, Ray F.","contributorId":169451,"corporation":false,"usgs":false,"family":"Farrell","given":"Ray","email":"","middleInitial":"F.","affiliations":[{"id":25511,"text":"Herpetological Associates, Inc., Plant and Wildlife Consultants, 575 Toms River Road, Jackson, NJ 08527 USA. Corresponding author e-mail: RZappalort@aol.com","active":true,"usgs":false}],"preferred":false,"id":629685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torocco, Michael E.","contributorId":169452,"corporation":false,"usgs":false,"family":"Torocco","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":25511,"text":"Herpetological Associates, Inc., Plant and Wildlife Consultants, 575 Toms River Road, Jackson, NJ 08527 USA. Corresponding author e-mail: RZappalort@aol.com","active":true,"usgs":false}],"preferred":false,"id":629686,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70170559,"text":"70170559 - 2015 - Modeling the present and future geographic distribution of the Lone star tick, Amblyomma americanum (Ixodida: Ixodidae), in the continental United States","interactions":[],"lastModifiedDate":"2016-04-27T09:30:53","indexId":"70170559","displayToPublicDate":"2016-04-27T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the present and future geographic distribution of the Lone star tick, Amblyomma americanum (Ixodida: Ixodidae), in the continental United States","docAbstract":"The Lone star tick (Amblyomma americanum L.) is the primary vector for pathogens of significant public health importance in North America, yet relatively little is known about its current and potential future distribution. Building on a published summary of tick collection records, we used an ensemble modeling approach to predict the present-day and future distribution of climatically suitable habitat for establishment of the Lone star tick within the continental United States. Of the nine climatic predictor variables included in our five present-day models, average vapor pressure in July was by far the most important determinant of suitable habitat. The present-day ensemble model predicted an essentially contiguous distribution of suitable habitat extending to the Atlantic coast east of the 100th western meridian and south of the 40th northern parallel, but excluding a high elevation region associated with the Appalachian Mountains. Future ensemble predictions for 2061–2080 forecasted a stable western range limit, northward expansion of suitable habitat into the Upper Midwest and western Pennsylvania, and range contraction along portions of the Gulf coast and the lower Mississippi river valley. These findings are informative for raising awareness of A. americanum-transmitted pathogens in areas where the Lone Star tick has recently or may become established.
","language":"English","publisher":"American Society of Tropical Medicine and Hygiene","doi":"10.4269/ajtmh.15-0330","usgsCitation":"Springer, Y.P., Jarnevich, C.S., Barnett, D., Monaghan, A., and Eisen, R., 2015, Modeling the present and future geographic distribution of the Lone star tick, Amblyomma americanum (Ixodida: Ixodidae), in the continental United States: American Journal of Tropical Medicine and Hygiene, v. 93, no. 4, p. 875-890, https://doi.org/10.4269/ajtmh.15-0330.","productDescription":"16 p.","startPage":"875","endPage":"890","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065942","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471493,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4269/ajtmh.15-0330","text":"External Repository"},{"id":320587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5721d4a4e4b0b13d39129149","contributors":{"authors":[{"text":"Springer, Yuri P.","contributorId":148010,"corporation":false,"usgs":false,"family":"Springer","given":"Yuri","email":"","middleInitial":"P.","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":627651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":627650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnett, David T.","contributorId":86234,"corporation":false,"usgs":true,"family":"Barnett","given":"David T.","affiliations":[],"preferred":false,"id":627652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monaghan, Andrew J.","contributorId":61682,"corporation":false,"usgs":true,"family":"Monaghan","given":"Andrew J.","affiliations":[],"preferred":false,"id":627653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eisen, Rebecca J.","contributorId":148027,"corporation":false,"usgs":false,"family":"Eisen","given":"Rebecca J.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":627654,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155806,"text":"70155806 - 2015 - Applications of genetic data to improve management and conservation of river fishes and their habitats","interactions":[],"lastModifiedDate":"2016-05-18T07:30:00","indexId":"70155806","displayToPublicDate":"2016-04-13T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Applications of genetic data to improve management and conservation of river fishes and their habitats","docAbstract":"Species distribution models are useful tools to evaluate habitat relationships of fishes. We used hierarchical Bayesian multispecies mixture models to evaluate the relationships of both detection and abundance with habitat of reservoir fishes caught using tandem hoop nets. A total of 7,212 fish from 12 species were captured, and the majority of the catch was composed of Channel Catfish Ictalurus punctatus (46%), Bluegill Lepomis macrochirus(25%), and White Crappie Pomoxis annularis (14%). Detection estimates ranged from 8% to 69%, and modeling results suggested that fishes were primarily influenced by reservoir size and context, water clarity and temperature, and land-use types. Species were differentially abundant within and among habitat types, and some fishes were found to be more abundant in turbid, less impacted (e.g., by urbanization and agriculture) reservoirs with longer shoreline lengths; whereas, other species were found more often in clear, nutrient-rich impoundments that had generally shorter shoreline length and were surrounded by a higher percentage of agricultural land. Our results demonstrated that habitat and reservoir characteristics may differentially benefit species and assemblage structure. This study provides a useful framework for evaluating capture efficiency for not only hoop nets but other gear types used to sample fishes in reservoirs.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1143395","usgsCitation":"Stewart, D., and Long, J.M., 2015, Using hierarchical Bayesian multi-species mixture models to estimate tandem hoop-net based habitat associations and detection probabilities of fishes in reservoirs: Transactions of the American Fisheries Society, v. 145, no. 3, p. 450-461, https://doi.org/10.1080/00028487.2016.1143395.","productDescription":"12 p.","startPage":"450","endPage":"461","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058011","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake Greenleaf, Lake Lone Chimney, Lake McMurtry, Lake Okemah, Lake Okmulgee, Lake Ponca,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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The spatial-temporal behaviour of LFEs provides insight into deep fault zone processes. In this study, we examine recurrence times from a 12-yr catalogue of 88 LFE families with ∼730 000 LFEs in the vicinity of the Parkfield section of the San Andreas Fault (SAF) in central California. We apply an automatic burst detection algorithm to the LFE recurrence times to identify the clustering behaviour of LFEs (LFE bursts) in each family. We find that the burst behaviours in the northern and southern LFE groups differ. Generally, the northern group has longer burst duration but fewer LFEs per burst, while the southern group has shorter burst duration but more LFEs per burst. The southern group LFE bursts are generally more correlated than the northern group, suggesting more coherent deep fault slip and relatively simpler deep fault structure beneath the locked section of SAF. We also found that the 2004 Parkfield earthquake clearly increased the number of LFEs per burst and average burst duration for both the northern and the southern groups, with a relatively larger effect on the northern group. This could be due to the weakness of northern part of the fault, or the northwesterly rupture direction of the Parkfield earthquake.
","language":"English","publisher":"Royal Astronomical Society","publisherLocation":"Oxford","doi":"10.1093/gji/ggv194","collaboration":"Wu, C; Guyer, R; Shelly, D; Trugman, D; Frank, W; Johnson,P","usgsCitation":"Wu, C., Guyer, R., Shelly, D.R., Trugman, D., Frank, W., Gomberg, J.S., and Johnson, P., 2015, Spatial-temporal variation of low-frequency earthquake bursts near Parkfield, California: Geophysical Journal International, v. 202, no. 2, p. 914-919, https://doi.org/10.1093/gji/ggv194.","startPage":"914","endPage":"919","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061367","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471494,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggv194","text":"Publisher Index Page"},{"id":327766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield","volume":"202","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-08","publicationStatus":"PW","scienceBaseUri":"57c6b15ae4b0f2f0cebe6d6d","contributors":{"authors":[{"text":"Wu, Chunquan","contributorId":46871,"corporation":false,"usgs":true,"family":"Wu","given":"Chunquan","email":"","affiliations":[],"preferred":false,"id":646834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guyer, Robert","contributorId":173990,"corporation":false,"usgs":false,"family":"Guyer","given":"Robert","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":646836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":646837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trugman, D.","contributorId":173991,"corporation":false,"usgs":false,"family":"Trugman","given":"D.","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":646838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frank, William","contributorId":93953,"corporation":false,"usgs":true,"family":"Frank","given":"William","email":"","affiliations":[],"preferred":false,"id":646839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":646833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, P.","contributorId":55171,"corporation":false,"usgs":true,"family":"Johnson","given":"P.","email":"","affiliations":[],"preferred":false,"id":646835,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173606,"text":"70173606 - 2015 - Hydroxide stabilization as a new tool for ballast disinfection: Efficacy of treatment on zooplankton","interactions":[],"lastModifiedDate":"2017-08-15T13:02:28","indexId":"70173606","displayToPublicDate":"2016-03-22T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Hydroxide stabilization as a new tool for ballast disinfection: Efficacy of treatment on zooplankton","docAbstract":"Effective and economical tools are needed for treating ship ballast to meet new regulatory requirements designed to reduce the introduction of invasive aquatic species from ship traffic. We tested the efficacy of hydroxide stabilization as a ballast disinfection tool in replicated, sequential field trials on board the M/V Ranger III in waters of Lake Superior. Ballast water was introduced into each of four identical 1,320 L stainless steel tanks during a simulated ballasting operation. Two tanks were treated with NaOH to elevate the pH to 11.7 and the remaining two tanks were held as controls without pH alteration. After retention on board for 14–18 h, CO2-rich gas recovered from one of two diesel propulsion engines was sparged into tanks treated with NaOH for 2 h to force conversion of NaOH ultimately to sodium bicarbonate, thereby lowering pH to about 7.1. Prior to gas sparging, the engine exhaust was treated by a unique catalytic converter/wet scrubber process train to remove unwanted combustion byproducts and to provide cooling. The contents of each tank were then drained and filtered through 35-µm mesh plankton nets to collect all zooplankton. The composition and relative survival of zooplankton in each tank were evaluated by microscopy. Zooplankton populations were dominated by rotifers, but copepods and cladocerans were also observed. Hydroxide stabilization was 100% effective in killing all zooplankton present at the start of the tests. Our results suggest hydroxide stabilization has potential to be an effective and practical tool to disinfect ship ballast. Further, using CO2 released from the ship engine reduces emissions and the neutralized by product, sodium bicarbonate, can have beneficial impacts on the aquatic environment.
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Southern Resident killer whales (Orcinus orca) comprise an endangered population that is frequently observed by a large whale watching fleet in the inland waters of Washington state and British Columbia. One of the factors identified as a risk to recovery for the population is the effect of vessels and associated noise. An examination of the effects of vessels and associated noise on whale behavior utilized novel equipment to address limitations of previous studies. Digital acoustic recording tags (DTAGs) measured the noise levels the tagged whales received while laser positioning systems allowed collection of geo-referenced data for tagged whales and all vessels within 1000 m of the tagged whale. The objective of the current study was to compare vessel data and DTAG recordings to relate vessel traffic to the ambient noise received by tagged whales. Two analyses were conducted, one including all recording intervals, and one that excluded intervals when only the research vessel was present. For all data, significant predictors of noise levels were length (inverse relationship), number of propellers, and vessel speed, but only 15% of the variation in noise was explained by this model. When research-vessel-only intervals were excluded, vessel speed was the only significant predictor of noise levels, and explained 42% of the variation. Simple linear regressions (ignoring covariates) found that average vessel speed and number of propellers were the only significant correlates with noise levels. We conclude that vessel speed is the most important predictor of noise levels received by whales in this study. Thus, measures that reduce vessel speed in the vicinity of killer whales would reduce noise exposure in this population.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0140119","usgsCitation":"Houghton, J., Holt, M.M., Giles, D.A., Hanson, M.B., Emmons, C.K., Hogan, J.T., Branch, T., and VanBlaricom, G.R., 2015, The relationship between vessel traffic and noise levels received by killer whales (Orcinus orca): PLoS ONE, v. 10, no. 12, p. 1-20, https://doi.org/10.1371/journal.pone.0140119.","productDescription":"20 p.","startPage":"1","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065949","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0140119","text":"Publisher Index Page"},{"id":323889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Vancouver, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.67265319824217,\n 48.76343113791796\n ],\n [\n -122.92602539062501,\n 48.772935170565056\n ],\n [\n -123.25149536132811,\n 48.69232017824781\n ],\n [\n -123.21098327636719,\n 48.569337856144415\n ],\n [\n -123.14987182617188,\n 48.45653041501911\n ],\n [\n -123.09219360351561,\n 48.41826449418743\n ],\n [\n -123.16635131835938,\n 48.35442390123028\n ],\n [\n -122.79968261718749,\n 48.28502057399577\n ],\n [\n -122.70217895507811,\n 48.37449671682332\n ],\n [\n -122.74063110351562,\n 48.4765629664158\n ],\n [\n -122.684326171875,\n 48.521152504948994\n ],\n [\n -122.64862060546875,\n 48.596592251456705\n ],\n [\n -122.62527465820311,\n 48.63563125791999\n ],\n [\n -122.56484985351561,\n 48.634723716904\n ],\n [\n -122.67265319824217,\n 48.76343113791796\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"57651f3be4b07657d19c793d","contributors":{"authors":[{"text":"Houghton, Juliana","contributorId":172082,"corporation":false,"usgs":false,"family":"Houghton","given":"Juliana","email":"","affiliations":[],"preferred":false,"id":639560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holt, Marla M.","contributorId":172083,"corporation":false,"usgs":false,"family":"Holt","given":"Marla","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giles, Deborah A.","contributorId":172084,"corporation":false,"usgs":false,"family":"Giles","given":"Deborah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, M. 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In October of 2008, we electrofished Bonita Creek, a small stream with base flows (<0.56 m3/s) in southern Arizona, and then treated the stream with rotenone to kill all of the remaining fish and quantify the effectiveness of single and multiple-pass electro fishing. Six, 100-m transects were electro fished on three consecutive days followed by a single treatment with rotenone. Fish caught using electrofishing were identified, counted and removed from each transect daily and then compared to numbers of dead fish collected during the subsequent rotenone application. Electrofishing effectiveness was highly variable among transects. Single-pass electrofishing caught an average of 23% (95% CI=5 to 40%) of the fish present, and three-pass electrofishing on consecutive days caught on average 55% (95% CI=28 to 83%) of the fish in each transect. Native Arizona fishes were more susceptible to electrofishing (77 % captured) than non-native species (54% captured), though native fish were rare. Transects in Bonita Creek averaged 3.6±1.5 m wide and 0.25±0.20 m deep (max depth 1.2 m). Bonita Creek is a small first-order stream which exhibits ideal conditions for backpack electrofishing, yet we captured a relatively small percentage of the fish present. This suggests that complete removal of non-native warm-water fishes using backpack electrofishing is not likely to be successful, especially in larger more complex streams.
","language":"English","publisher":"The Arizona-Nevada Academy of Science","doi":"10.2181/036.046.0202","usgsCitation":"Ward, D.L., O’neill, M.W., and Ka’apu-Lyons, C., 2015, Effectiveness of backpack electrofishing for removal of non-native fishes from a small warm-water stream: Journal of the Arizona-Nevada Academy of Science, v. 46, no. 2, p. 37-41, https://doi.org/10.2181/036.046.0202.","productDescription":"5 p.","startPage":"37","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059255","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56d81cc6e4b015c306f62bf4","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":621624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’neill, Matthew W.","contributorId":167289,"corporation":false,"usgs":false,"family":"O’neill","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":621755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ka’apu-Lyons, Cassie","contributorId":167290,"corporation":false,"usgs":false,"family":"Ka’apu-Lyons","given":"Cassie","email":"","affiliations":[{"id":17202,"text":"University of Hawaii, Manoa","active":true,"usgs":false}],"preferred":false,"id":621756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173496,"text":"70173496 - 2015 - Predictive modelling of habitat use by marine predators with respect to the abundance and depth distribution of pelagic prey","interactions":[],"lastModifiedDate":"2016-06-17T11:32:27","indexId":"70173496","displayToPublicDate":"2016-02-24T14:30:00","publicationYear":"2015","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":"Predictive modelling of habitat use by marine predators with respect to the abundance and depth distribution of pelagic prey","docAbstract":"Digital flood-inundation maps for a 2.6-mile reach of the Schoharie Creek at Prattsville, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the New York State Department of Environmental Conservation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Schoharie Creek at Prattsville (station number 01350000). Near-real-time stages at this streamgage may be obtained online from the USGS National Water Information System (http://waterdata.usgs.gov/) or the National Weather Service Advanced Hydrologic Prediction Service (http://water.weather.gov/ahps/), which also forecasts flood hydrographs at this site. National Weather Service-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas and depths of flood inundation.
\nFlood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the stage-discharge relation (rating 82.0) at the Schoharie Creek at Prattsville streamgage (station 01350000) and high-water marks from the flood of August 28, 2011. The hydraulic model was then used to compute 17 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to greater than the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from light detection and ranging (lidar) data having a 0.61-foot vertical root-mean squared error and 6.6-foot horizontal resolution, in order to delineate the area flooded at each water level.
\nThese flood-inundation maps, along with near-real-time stage data from USGS streamgages and forecasted stage data from the National Weather Service, can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155190","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Nystrom, E.A., 2016, Flood-inundation maps for the Schoharie Creek at Prattsville, New York, 2014: U.S. Geological Survey Scientific Investigations Report 2015–5190, 12 p., 17 sheets, https://dx.doi.org/10.3133/sir20155190.","productDescription":"Report: vii, 15 p.; 17 Sheets: 17.00 x 22.00 inches or smaller; Application Sites; Metadata","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067775","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":316401,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sir/2015/5190/downloads/sir20155190_sheet10-prattsville-stage18.pdf","text":"Sheet10—stage of 18.0 feet","size":"6.11 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\"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.45520401000975,\n 42.34484284244194\n ],\n [\n -74.38894271850586,\n 42.34585783931204\n ],\n [\n -74.38568115234375,\n 42.29191344264761\n ],\n [\n -74.45228576660156,\n 42.28810385554954\n ],\n [\n -74.45520401000975,\n 42.34484284244194\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Information requests:
(518) 285-5602
Or visit our Web site at:
http://ny.water.usgs.gov
Adaptation to freshwater may be expected to reduce performance in seawater because these environments represent opposing selective regimes. We tested for such a trade-off in populations of the Alewife (Alosa pseudoharengus). Alewives are ancestrally anadromous, and multiple populations have been independently restricted to freshwater (landlocked). We conducted salinity challenge experiments, whereby juvenile Alewives from one anadromous and multiple landlocked populations were exposed to freshwater and seawater on acute and acclimation timescales. In response to acute salinity challenge trials, independently derived landlocked populations varied in the degree to which seawater tolerance has been lost. In laboratory-acclimation experiments, landlocked Alewives exhibited improved freshwater tolerance, which was correlated with reductions in seawater tolerance and hypo-osmotic balance, suggesting that trade-offs in osmoregulation may be associated with local adaptation to freshwater. We detected differentiation between life-history forms in the expression of an ion-uptake gene (NHE3), and in gill Na+/K+-ATPase activity. Trade-offs in osmoregulation, therefore, may be mediated by differentiation in ion-uptake and salt-secreting pathways.
","language":"English","publisher":"Society for the Study of Evolution","doi":"10.1111/evo.12774","usgsCitation":"Velotta, J.P., McCormick, S.D., and Schultz, E., 2015, Trade-offs in osmoregulation and parallel shifts in molecular function follow ecological transitions to freshwater in the Alewife: Evolution, v. 69, no. 10, p. 2676-2688, https://doi.org/10.1111/evo.12774.","productDescription":"13 p.","startPage":"2676","endPage":"2688","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061994","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":318121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-01","publicationStatus":"PW","scienceBaseUri":"56c599ace4b0946c6521edff","contributors":{"authors":[{"text":"Velotta, Jonathan P.","contributorId":86281,"corporation":false,"usgs":true,"family":"Velotta","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":620751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":620750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Eric T.","contributorId":77071,"corporation":false,"usgs":true,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":620752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168348,"text":"70168348 - 2015 - State-space modeling to support management of brucellosis in the Yellowstone bison population","interactions":[],"lastModifiedDate":"2016-02-17T10:37:37","indexId":"70168348","displayToPublicDate":"2016-02-17T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"State-space modeling to support management of brucellosis in the Yellowstone bison population","docAbstract":"The bison (Bison bison) of the Yellowstone ecosystem, USA, exemplify the difficulty of conserving large mammals that migrate across the boundaries of conservation areas. Bison are infected with brucellosis (Brucella abortus) and their seasonal movements can expose livestock to infection. Yellowstone National Park has embarked on a program of adaptive management of bison, which requires a model that assimilates data to support management decisions. We constructed a Bayesian state-space model to reveal the influence of brucellosis on the Yellowstone bison population. A frequency-dependent model of brucellosis transmission was superior to a density-dependent model in predicting out-of-sample observations of horizontal transmission probability. A mixture model including both transmission mechanisms converged on frequency dependence. Conditional on the frequency-dependent model, brucellosis median transmission rate was 1.87 yr−1. The median of the posterior distribution of the basic reproductive ratio (R0) was 1.75. Seroprevalence of adult females varied around 60% over two decades, but only 9.6 of 100 adult females were infectious. Brucellosis depressed recruitment; estimated population growth rate λ averaged 1.07 for an infected population and 1.11 for a healthy population. We used five-year forecasting to evaluate the ability of different actions to meet management goals relative to no action. Annually removing 200 seropositive female bison increased by 30-fold the probability of reducing seroprevalence below 40% and increased by a factor of 120 the probability of achieving a 50% reduction in transmission probability relative to no action. Annually vaccinating 200 seronegative animals increased the likelihood of a 50% reduction in transmission probability by fivefold over no action. However, including uncertainty in the ability to implement management by representing stochastic variation in the number of accessible bison dramatically reduced the probability of achieving goals using interventions relative to no action. Because the width of the posterior predictive distributions of future population states expands rapidly with increases in the forecast horizon, managers must accept high levels of uncertainty. These findings emphasize the necessity of iterative, adaptive management with relatively short-term commitment to action and frequent reevaluation in response to new data and model forecasts. We believe our approach has broad applications.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1413.1","usgsCitation":"Hobbs, N., Geremia, C., Treanor, J., Wallen, R., White, P., Hooten, M., and Rhyan, J.C., 2015, State-space modeling to support management of brucellosis in the Yellowstone bison population: Ecological Monographs, v. 85, no. 4, p. 525-556, https://doi.org/10.1890/14-1413.1.","productDescription":"32 p.","startPage":"525","endPage":"556","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053288","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","volume":"85","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56c599ace4b0946c6521edfc","contributors":{"authors":[{"text":"Hobbs, N. Thompson","contributorId":35031,"corporation":false,"usgs":true,"family":"Hobbs","given":"N. Thompson","affiliations":[],"preferred":false,"id":620718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geremia, Chris","contributorId":167003,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","email":"","affiliations":[],"preferred":false,"id":620719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Treanor, John","contributorId":92063,"corporation":false,"usgs":true,"family":"Treanor","given":"John","affiliations":[],"preferred":false,"id":620720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallen, Rick","contributorId":14202,"corporation":false,"usgs":true,"family":"Wallen","given":"Rick","affiliations":[],"preferred":false,"id":620721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":620722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":619788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rhyan, Jack C.","contributorId":11185,"corporation":false,"usgs":true,"family":"Rhyan","given":"Jack","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":620723,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168356,"text":"70168356 - 2015 - Seasonal cues of Arctic grayling movement in a small Arctic stream: the importance of surface water connectivity","interactions":[],"lastModifiedDate":"2016-02-17T10:23:59","indexId":"70168356","displayToPublicDate":"2016-02-17T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal cues of Arctic grayling movement in a small Arctic stream: the importance of surface water connectivity","docAbstract":"In Arctic ecosystems, freshwater fish migrate seasonally between productive shallow water habitats that freeze in winter and deep overwinter refuge in rivers and lakes. How these movements relate to seasonal hydrology is not well understood. We used passive integrated transponder tags and stream wide antennae to track 1035 Arctic grayling in Crea Creek, a seasonally flowing beaded stream on the Arctic Coastal Plain, Alaska. Migration of juvenile and adult fish into Crea Creek peaked in June immediately after ice break-up in the stream. Fish that entered the stream during periods of high flow and cold stream temperature traveled farther upstream than those entering during periods of lower flow and warmer temperature. We used generalized linear models to relate migration of adult and juvenile fish out of Crea Creek to hydrology. Most adults migrated in late June – early July, and there was best support (Akaike weight = 0.46; w i ) for a model indicating that the rate of migration increased with decreasing discharge. Juvenile migration occurred in two peaks; the early peak consisted of larger juveniles and coincided with adult migration, while the later peak occurred shortly before freeze-up in September and included smaller juveniles. A model that included discharge, minimum stream temperature, year, season, and mean size of potential migrants was most strongly supported (w i = 0.86). Juvenile migration rate increased sharply as daily minimum stream temperature decreased, suggesting fish respond to impending freeze-up. We found fish movements to be intimately tied to the strong seasonality of discharge and temperature, and demonstrate the importance of small stream connectivity for migratory Arctic grayling during the entire open-water period. The ongoing and anticipated effects of climate change and petroleum development on Arctic hydrology (e.g. reduced stream connectivity, earlier peak flows, increased evapotranspiration) have important implications for Arctic freshwater ecosystems.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-015-0453-x","usgsCitation":"Heim, K.C., Wipfli, M.S., Whitman, M.S., Arp, C.D., Adams, J., and Falke, J.A., 2015, Seasonal cues of Arctic grayling movement in a small Arctic stream: the importance of surface water connectivity: Environmental Biology of Fishes, v. 99, no. 1, p. 49-65, https://doi.org/10.1007/s10641-015-0453-x.","productDescription":"17 p.","startPage":"49","endPage":"65","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060031","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"99","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-26","publicationStatus":"PW","scienceBaseUri":"56c599ace4b0946c6521edf6","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":138832,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":620696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":620697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Jeff","contributorId":167002,"corporation":false,"usgs":false,"family":"Adams","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":620698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":620699,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}