The Sierra Nevada region is critical to the environment and economy of California. Its places and peoples provide
essential natural resources including fresh water, clean power, working lands, and famous wilderness. The region
encompasses tremendous geographical, climatological, and ecological diversity that spans majestic mountains to
deep desert basins. The climate consists of cool, wet winters and warm, dry summers with large differences due to
latitude (e.g., the southern Sierra is snowier than northern Sierra) and topography (e.g., the Westside is wetter than
the Eastside). Variability is another notable feature of the climate with the region experiencing some of the largest
year-to-year climatic fluctuations in the United States. Herein we summarize our assessment of climate-change
vulnerabilities and adaptation actions in the region.
1. The total flux of carbon—which includes gaseous emissions, lateral flux, and burial—from inland waters across the conterminous United States (CONUS) and Alaska is 193 teragrams of carbon (Tg C) per year. The dominant pathway for carbon movement out of inland waters is the emission of carbon dioxide gas across water surfaces of streams, rivers, and lakes (110.1 Tg C per year), a flux not identified in the First State of the Carbon Cycle Report (SOCCR1; CCSP 2007). Second to gaseous emissions are the lateral fluxes of carbon through rivers to coastal environments (59.8 Tg C per year). Total carbon burial in lakes and reservoirs represents the smallest flux for CONUS and Alaska (22.5 Tg C per year) (medium confidence).
2. Based on estimates presented herein, the carbon flux from inland waters is now understood to be four times larger than estimates presented in SOCCR1. The total flux of carbon from inland waters across North America is estimated to be 507 Tg C per year based on a modeling approach that integrates high-resolution U.S. data and continental-scale estimates of water area, discharge, and carbon emissions. This estimate represents a weighted average of 24 grams of carbon per m2 per year of continental area exported and removed through inland waters in North America (low confidence).
3. Future research can address critical knowledge gaps and uncertainties related to inland water carbon fluxes. This chapter, for example, does not include methane emissions, which cannot be calculated as precisely as other carbon fluxes because of significant data gaps. Key to reducing uncertainties in estimated carbon fluxes is increased temporal resolution of carbon concentration and discharge sampling to provide better representations of storms and other extreme events for estimates of total inland water carbon fluxes. Improved spatial resolution of sampling also could potentially highlight anthropogenic influences on the quantity and quality of carbon fluxes in inland waters and provide information for land-use planning and management of water resources. Finally, uncertainties could likely be reduced if the community of scientists working in inland waters establishes and adopts standard measurement techniques and protocols similar to those maintained through collaborative efforts of the International Ocean Carbon Coordination Project and relevant governmental agencies from participating nations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report","language":"English","publisher":"U.S. Global Change Research Program","publisherLocation":"Washington, D.C.","doi":"10.7930/SOCCR2.2018.Ch14","usgsCitation":"Butman, D.E., Striegl, R.G., Stackpoole, S.M., Del Giorgio, P., Prairie, Y., Pilcher, D., Raymond, P., Paz Pellat, F., and Alcocer, J., 2018, Inland waters, chap. of Second State of the Carbon Cycle Report (SOCCR2): A Sustained Assessment Report, p. 568-595, https://doi.org/10.7930/SOCCR2.2018.Ch14.","productDescription":"28 p.","startPage":"568","endPage":"595","ipdsId":"IP-084988","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":360064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b957ee4b0c53ecb2aca8a","contributors":{"editors":[{"text":"Cavallaro, N.","contributorId":211183,"corporation":false,"usgs":false,"family":"Cavallaro","given":"N.","email":"","affiliations":[],"preferred":false,"id":753366,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shrestha, G.","contributorId":211184,"corporation":false,"usgs":false,"family":"Shrestha","given":"G.","email":"","affiliations":[],"preferred":false,"id":753367,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Birdsey, R.","contributorId":14670,"corporation":false,"usgs":true,"family":"Birdsey","given":"R.","email":"","affiliations":[],"preferred":false,"id":753368,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Mayes, M. 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2018 - Radium attenuation and mobilization in stream sediments following oil and gas wastewater disposal in western Pennsylvania","interactions":[],"lastModifiedDate":"2018-12-13T15:06:56","indexId":"70201431","displayToPublicDate":"2018-11-01T15:06:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Radium attenuation and mobilization in stream sediments following oil and gas wastewater disposal in western Pennsylvania","docAbstract":"Centralized waste treatment facilities (CWTs) in Pennsylvania discharged wastewater from conventional and unconventional oil and gas (O&G) wells into surface waters until 2011, when a voluntary request from the Pennsylvania Department of Environmental Protection (PA DEP) encouraged recycling rather than treating and discharging unconventional O&G wastewater. To determine the effect of this request on the occurrence of radium in streams, we sampled sediments at five CWTs that processed conventional O&G wastewater from 2011 to 2017 and compared results to published data. Despite the policy change in 2011 that reduced disposal of unconventional wastes (i.e., Marcellus) to surface water in Pennsylvania, the continued disposal of conventional O&G wastewater led to elevated radium activities in sediments at the point of discharge that were often hundreds of times higher than background. While these elevated activities were also present in downstream sediments (1.5× higher than background), the elimination of unconventional O&G wastewater disposal through the CWTs since 2011 decreased radium loading to the stream by approximately 95%.
Sequential extractions and geochemical modeling using PHREEQC indicate that radium likely co-precipitates with barite or barite-celestite solid solutions and accumulates in the sediment as treated O&G effluent enters the stream. Adsorption of “exchangeable” radium, barium, and strontium on hydrous iron and manganese oxide coatings on fine-grained stream sediments is an important radium sequestration mechanism further downstream that can decrease the cation concentrations and potential for radio-barite co-precipitation. Radium downstream of CWTs was more abundant and more available for dissolution and desorption than radium in upstream sediments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2018.10.011","usgsCitation":"Van Sice, K., Cravotta, C., McDevitt, B., Tasker, T.L., Landis, J.D., Puhr, J., and Warner, N.R., 2018, Radium attenuation and mobilization in stream sediments following oil and gas wastewater disposal in western Pennsylvania: Applied Geochemistry, v. 98, p. 393-403, https://doi.org/10.1016/j.apgeochem.2018.10.011.","productDescription":"11 p.","startPage":"393","endPage":"403","ipdsId":"IP-101262","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":468266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2018.10.011","text":"Publisher Index Page"},{"id":360257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","volume":"98","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dd4e4b006c4f8514890","contributors":{"authors":[{"text":"Van Sice, Katherine","contributorId":211454,"corporation":false,"usgs":false,"family":"Van Sice","given":"Katherine","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":754123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDevitt, Bonnie","contributorId":211455,"corporation":false,"usgs":false,"family":"McDevitt","given":"Bonnie","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":754124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tasker, Travis L.","contributorId":211456,"corporation":false,"usgs":false,"family":"Tasker","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":754125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landis, Joshua D.","contributorId":211459,"corporation":false,"usgs":false,"family":"Landis","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":38249,"text":"Department of Earth Sciences, Dartmouth College, Hanover, NH","active":true,"usgs":false}],"preferred":false,"id":754128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puhr, Johnna","contributorId":211457,"corporation":false,"usgs":false,"family":"Puhr","given":"Johnna","email":"","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":754126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warner, Nathaniel R.","contributorId":211458,"corporation":false,"usgs":false,"family":"Warner","given":"Nathaniel","email":"","middleInitial":"R.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":754127,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200905,"text":"70200905 - 2018 - Long-term impacts of exotic grazer removal on native shrub recovery, Santa Cruz Island, California","interactions":[],"lastModifiedDate":"2020-12-16T16:22:04.670834","indexId":"70200905","displayToPublicDate":"2018-11-01T15:05:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Long-term impacts of exotic grazer removal on native shrub recovery, Santa Cruz Island, California","docAbstract":"A combination of overgrazing and exotic species introduction has led to the degradation of habitats worldwide. It is often unclear whether removal of exotic ungulates will lead to the natural reestablishment of native plant communities without further management inputs. I describe here my return to sites on Santa Cruz Island, California, 12 years after initial sampling in order to gain a long-term view on native shrub reestablishment into exotic grasslands after exotic grazer removal. Santa Cruz Island was grazed by feral sheep and cattle for over a century; these exotic grazers were removed in the late 1980s and feral pigs were removed in 2005–2006. I resampled 5 sites on south-facing slopes in the Central Valley of the island to quantify native shrub cover, density, and size. Previous data suggested that one species, Eriogonum arborescens, would be able to naturally recruit in exotic grass–dominated areas. Native shrubs have shown a modest increase in cover over time, although more striking was a sharp increase in the amount of dead shrub cover and density. Recruitment events during high rainfall years probably led to the slight increase in Eriogonum cover between sampling periods. Recent drought periods, however, have probably increased mortality and otherwise slowed shrub reestablishment in these arid sites.
","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.078.0417","usgsCitation":"Yelenik, S.G., 2018, Long-term impacts of exotic grazer removal on native shrub recovery, Santa Cruz Island, California: Western North American Naturalist, v. 78, p. 777-786, https://doi.org/10.3398/064.078.0417.","productDescription":"10 p.","startPage":"777","endPage":"786","ipdsId":"IP-093127","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":359428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.96109008789061,\n 33.911454454267606\n ],\n [\n -119.49005126953124,\n 33.911454454267606\n ],\n [\n -119.49005126953124,\n 34.101570854106576\n ],\n [\n -119.96109008789061,\n 34.101570854106576\n ],\n [\n -119.96109008789061,\n 33.911454454267606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bed4271e4b0b3fc5cf91c7c","contributors":{"authors":[{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769 syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":751213,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196863,"text":"70196863 - 2018 - Unsaturated zone CO2, CH4, and δ13C-CO2 at an arid region low-level radioactive waste disposal site","interactions":[],"lastModifiedDate":"2018-11-02T14:47:18","indexId":"70196863","displayToPublicDate":"2018-11-01T14:47:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Unsaturated zone CO2, CH4, and δ13C-CO2 at an arid region low-level radioactive waste disposal site","title":"Unsaturated zone CO2, CH4, and δ13C-CO2 at an arid region low-level radioactive waste disposal site","docAbstract":"Elevated tritium, radiocarbon, Hg, and volatile organic compounds associated with low-level radioactive waste (LLRW) at the USGS Amargosa Desert Research Site (ADRS) have stimulated research on factors and processes that affect contaminant gas distribution and transport. Consequently, we examined the sources, mixing, and biogeochemistry of CO2 and CH4, two additional important species in the unsaturated zone at ADRS. In spring 2015 and 2016, shallow unsaturated zone gas samples were collected from the 1.5-m depth both inside and outside the LLRW disposal area. Samples also were collected from two 110-m-deep multilevel gas-sampling boreholes and a distant background site. These samples were analyzed for CO2 mole fraction (xCO2) and C isotopic composition (δ13C-CO2) and CH4 mole fraction (xCH4). Graphical analysis of the results indicates mixing of CO2 characteristic of the root zone (δ13C −18 to −19‰), deep soil gas of the capillary fringe (−13 to −15‰), and CO2produced by microbial respiration of organic matter disposed in the LLRW trenches (−22 to −25‰). Distribution of CH4 overall reflects atmospheric sources and production in anaerobic microzones in the LLRW area and methanotrophy in the undisturbed shallow subsurface outside the LLRW area. Although xCH4 reflecting lateral transport from the LLRW area is decreasing with time in the deep profiles, deep unsaturated zone xCO2 has changed little in recent decades. The results imply that CH4 and δ13C-CO2 may serve as good tracers of anthropogenic effects in the unsaturated zone even when CO2 primarily reflects natural processes.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2017.11.0200","usgsCitation":"Conaway, C., Walvoord, M., Thomas, R.B., Green, C., Baker, R., Thordsen, J., Stonestrom, D.A., and Andraski, B.J., 2018, Unsaturated zone CO2, CH4, and δ13C-CO2 at an arid region low-level radioactive waste disposal site: Vadose Zone Journal, v. 17, no. 1, p. 1-11, https://doi.org/10.2136/vzj2017.11.0200.","productDescription":"Article 70200.; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-092520","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":468267,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2017.11.0200","text":"Publisher Index Page"},{"id":359130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"USGS Amargosa Desert Research Site","volume":"17","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-14","publicationStatus":"PW","scienceBaseUri":"5c10a8fee4b034bf6a7e4ed4","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":734802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":204724,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":734803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Randall B.","contributorId":204725,"corporation":false,"usgs":false,"family":"Thomas","given":"Randall","email":"","middleInitial":"B.","affiliations":[{"id":36978,"text":"NETL DOE","active":true,"usgs":false}],"preferred":false,"id":734804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":734805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, R.J.","contributorId":85915,"corporation":false,"usgs":true,"family":"Baker","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":750709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":750710,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":750711,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":false,"id":750712,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70200867,"text":"70200867 - 2018 - Are fungal networks key to dryland primary production?","interactions":[],"lastModifiedDate":"2018-11-21T14:55:01","indexId":"70200867","displayToPublicDate":"2018-11-01T14:32:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Are fungal networks key to dryland primary production?","docAbstract":"In low-resource ecosystems, competition among primary producers can be reduced through the partitioning of limiting resources in space or time. Partitioning, coupled with species interactions, can be a source of ecosystem stability by retaining resources within a biotic “loop” and slowing losses due to physical processes, such as erosion, gaseous loss, or leaching. Such coupling occurs in marine food webs (the microbial loop), where positive interactions among microbes limit losses of nutrients that would otherwise drop to the ocean floor (Fenchel, 2008). Likewise, mycorrhizal fungi in tropical rainforests may rapidly recycle litter nutrients back to canopy trees, preventing leaching driven by high rainfall (Hattenschwiler et al., 2011). Such dynamics differ from the paradigm for most mesic, terrestrial ecosystems, in which the primary source of nutrients for primary production is the decomposition of soil organic matter (SOM, Schimel and Bennett, 2004). Thus, in ecosystems that lack large reserves of soil organic matter to supply nutrients to producers (e.g., drylands, where sparse litter yields low SOM), biotic retention of nutrients may be particularly critical to primary production and ecosystem dynamics.","language":"English","publisher":"Wiley","doi":"10.1002/ajb2.1184","usgsCitation":"Rudgers, J.A., Dettweiler-Robinson, E., Belnap, J., Green, L.E., Sinsabaugh, R.L., Young, K.E., Cort, C.E., and Darrouzet-Nardi, A., 2018, Are fungal networks key to dryland primary production?: American Journal of Botany, v. 105, no. 11, p. 1783-1787, https://doi.org/10.1002/ajb2.1184.","productDescription":"5 p.","startPage":"1783","endPage":"1787","ipdsId":"IP-099740","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.1184","text":"Publisher Index Page"},{"id":359334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-30","publicationStatus":"PW","scienceBaseUri":"5be55a52e4b0b3fc5cf8c68d","contributors":{"authors":[{"text":"Rudgers, Jennifer A.","contributorId":195173,"corporation":false,"usgs":false,"family":"Rudgers","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":750996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettweiler-Robinson, Eva","contributorId":210569,"corporation":false,"usgs":false,"family":"Dettweiler-Robinson","given":"Eva","email":"","affiliations":[{"id":38115,"text":"Department of Biology, MSC03 2020, 1 University of New Mexico, Albuquerque, NM 87131","active":true,"usgs":false}],"preferred":false,"id":750997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":750998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Laura E.","contributorId":210570,"corporation":false,"usgs":false,"family":"Green","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":38115,"text":"Department of Biology, MSC03 2020, 1 University of New Mexico, Albuquerque, NM 87131","active":true,"usgs":false}],"preferred":false,"id":750999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sinsabaugh, Robert L.","contributorId":210571,"corporation":false,"usgs":false,"family":"Sinsabaugh","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":38115,"text":"Department of Biology, MSC03 2020, 1 University of New Mexico, Albuquerque, NM 87131","active":true,"usgs":false}],"preferred":false,"id":751000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Kristina E.","contributorId":210572,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":751001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cort, Catherine E.","contributorId":210573,"corporation":false,"usgs":false,"family":"Cort","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":751002,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":751003,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70199979,"text":"70199979 - 2018 - Are changes in lower trophic levels limiting prey-fish biomass and production in Lake Michigan?","interactions":[],"lastModifiedDate":"2018-11-16T14:25:51","indexId":"70199979","displayToPublicDate":"2018-11-01T14:25:44","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":190,"text":"Miscellaneous Publication","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2018-01","title":"Are changes in lower trophic levels limiting prey-fish biomass and production in Lake Michigan?","docAbstract":"To improve understanding of how recent changes in lower trophic levels in Lake Michigan could be affecting prey-fish biomass and production, the Lake Michigan Committee (LMC) convened a Lower Trophic Level Task Group and provided several charges that are responded to in this report. First, we compiled a comprehensive summary of lower trophiclevel data in Lake Michigan, separating out nearshore versus offshore trends over time. Declining trends were prevalent in offshore time series for phosphorus, chlorophyll a, biomass of total crustacean zooplankton, biomass of herbivorous cladocerans, and density of Diporeia spp. In the nearshore, declining trends were evident only for biomass of cyclopoid copepods and density of Diporeia spp. Second, we hypothesized specific mechanisms by which changes in lower trophic levels could affect prey-fish biomass and production and described the degree of empirical support for each mechanism. The best-supported hypothesis was that declining invertebrate prey (especially Diporeia spp.) was responsible for declining growth of prey fish, especially over the last decade when competition for prey resources should otherwise have been lessened due to declining prey-fish densities. As a result, declining growth potentially limits the prey-fish biomass that could have been attained had growth been maintained at the levels that were achieved in the 1980s and earlier. Third, we prioritized several lower trophic-level indicators that fishery managers could use to better inform decision making. The top-ranked indicator was annual reporting of Alewife (Alosa pseudoharengus) condition. Fourth, we prioritized the key monitoring and research gaps that limit our current understanding of how lower trophic levels influence fish production. The highest-priority monitoring gap was coordinated sampling of the nearshore, which, if accomplished, would complement annual reporting on offshore sampling. The top-ranked knowledge gap was identifying bottlenecks that regulate fish recruitment, given that recent changes in zooplankton distribution and abundance could be suppressing survival of larval fish and, ultimately, the biomass and production of prey fish. We provided three specific recommendations for the LMC to consider as they seek to better incorporate lower trophiclevel changes into their management decision process: (1) implement a coordinated and standardized nearshore monitoring program, (2) encourage funding agencies to use our prioritized lists in their decision processes, and (3) foster the already improved dialogue between those researching lower trophic levels and those researching fisheries.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Bunnell, D.B., Carrick, H.J., Madenjian, C.P., Rutherford, E.S., Vanderploeg, H.A., Barbiero, R.P., Hinchey-Malloy, E., Pothoven, S.A., Riseng, C.M., Claramunt, R.M., Bootsma, H.A., Elgin, A., Rowe, M., Thomas, S., Turschak, B.A., Czesny, S.J., Pangle, K., and Warner, D.M., 2018, Are changes in lower trophic levels limiting prey-fish biomass and production in Lake Michigan?: Miscellaneous Publication 2018-01, 42 p.","productDescription":"42 p.","ipdsId":"IP-095261","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":359527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358217,"type":{"id":11,"text":"Document"},"url":"https://glfc.org/pubs/misc/2018-01.pdf"}],"otherGeospatial":"Lake Michigan","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f32","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":195888,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":747577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carrick, Hunter J.","contributorId":150479,"corporation":false,"usgs":false,"family":"Carrick","given":"Hunter","email":"","middleInitial":"J.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":747578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":747579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutherford, Edward S.","contributorId":175426,"corporation":false,"usgs":false,"family":"Rutherford","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12789,"text":"NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":747580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderploeg, Henry A.","contributorId":195891,"corporation":false,"usgs":false,"family":"Vanderploeg","given":"Henry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":747581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barbiero, Richard P.","contributorId":108342,"corporation":false,"usgs":true,"family":"Barbiero","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":747582,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinchey-Malloy, Elizabeth","contributorId":208533,"corporation":false,"usgs":false,"family":"Hinchey-Malloy","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":747583,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":747584,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riseng, Catherine M.","contributorId":30144,"corporation":false,"usgs":true,"family":"Riseng","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":747585,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Claramunt, Randall M.","contributorId":190497,"corporation":false,"usgs":false,"family":"Claramunt","given":"Randall","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":747586,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bootsma, Harvey A.","contributorId":150498,"corporation":false,"usgs":false,"family":"Bootsma","given":"Harvey","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":747587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elgin, Ashley","contributorId":208535,"corporation":false,"usgs":false,"family":"Elgin","given":"Ashley","affiliations":[],"preferred":false,"id":747588,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rowe, Mark","contributorId":208536,"corporation":false,"usgs":false,"family":"Rowe","given":"Mark","affiliations":[],"preferred":false,"id":747589,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thomas, Sara","contributorId":208537,"corporation":false,"usgs":false,"family":"Thomas","given":"Sara","affiliations":[],"preferred":false,"id":747590,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Turschak, Benjamin A.","contributorId":150497,"corporation":false,"usgs":false,"family":"Turschak","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":true,"id":747591,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Czesny, Sergiusz J.","contributorId":138598,"corporation":false,"usgs":false,"family":"Czesny","given":"Sergiusz","email":"","middleInitial":"J.","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":747592,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pangle, Kevin","contributorId":195637,"corporation":false,"usgs":false,"family":"Pangle","given":"Kevin","affiliations":[],"preferred":false,"id":747593,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":747594,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70200636,"text":"70200636 - 2018 - Automated road breaching to enhance extraction of natural drainage networks from elevation models through deep learning","interactions":[],"lastModifiedDate":"2018-11-26T14:23:15","indexId":"70200636","displayToPublicDate":"2018-11-01T14:23:11","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Automated road breaching to enhance extraction of natural drainage networks from elevation models through deep learning","docAbstract":"High-resolution (HR) digital elevation models (DEMs), such as those at resolutions of 1 and 3 meters, have increasingly become more widely available, along with lidar point cloud data. In a natural environment, a detailed surface water drainage network can be extracted from a HR DEM using flow-direction and flow-accumulation modeling. However, elevation details captured in HR DEMs, such as roads and overpasses, can form barriers that incorrectly alter flow accumulation models, and hinder the extraction of accurate surface water drainage networks. This study tests a deep learning approach to identify the intersections of roads and stream valleys, whereby valley channels can be burned through road embankments in a HR DEM for subsequent flow accumulation modeling, and proper natural drainage network extraction.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLII-4-597-2018","usgsCitation":"Stanislawski, L., Brockmeyer, T., and Shavers, E.J., 2018, Automated road breaching to enhance extraction of natural drainage networks from elevation models through deep learning, in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. XLII-4, p. 597-601, https://doi.org/10.5194/isprs-archives-XLII-4-597-2018.","productDescription":"5 p.","startPage":"597","endPage":"601","ipdsId":"IP-099807","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":468269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-4-597-2018","text":"Publisher Index Page"},{"id":359672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLII-4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","scienceBaseUri":"5bfd146ee4b0815414ca38f4","contributors":{"authors":[{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":210088,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":749787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockmeyer, Tyler","contributorId":210089,"corporation":false,"usgs":true,"family":"Brockmeyer","given":"Tyler","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":749788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":749789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200503,"text":"sir20185143 - 2018 - Method comparisons for determining concentrations of metals in water samples used in studies of fish migratory histories","interactions":[],"lastModifiedDate":"2018-11-06T10:54:14","indexId":"sir20185143","displayToPublicDate":"2018-11-01T14:16:28","publicationYear":"2018","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":"2018-5143","title":"Method comparisons for determining concentrations of metals in water samples used in studies of fish migratory histories","docAbstract":"Signatures developed from metal concentrations in water and fish bony structures can be used to demonstrate migration of individual fish between connected water bodies. The U.S. Geological Survey (USGS), in cooperation with the National Park Service and the Missouri Department of Conservation, compared two protocols for collecting and analyzing water samples for concentrations of several metals commonly used to develop metal signatures. In 2015, paired seasonal water samples were collected in two study areas incorporating three National Park Service units; paired water samples were collected using USGS protocols and simpler research protocols. Metal concentrations obtained using USGS and research protocols were compared using t-tests, percent differences, and simple linear regression analyses. Graphical plots of median values and measured ranges were used to compare ratios of strontium to calcium (Sr:Ca) and barium to calcium (Ba:Ca) obtained using the different protocols among individual stations within the two study areas. For stations on the Mississippi and St. Croix Rivers, ranges in concentrations of calcium, barium, and strontium (obtained using USGS protocols) were compared between samples collected from 1995 through 2012 and samples collected in this study. Comparisons were used to evaluate the long-term stability of metal concentrations in the environment.
Collectively, results presented in this report demonstrated that research protocols provided metal concentration data that were similar to data obtained using USGS protocols for all compared metals except manganese. Holding times of 6–33 weeks prior to filtration and analyses for samples collected using research protocols may have caused greater changes in manganese concentrations compared to other metals. Strontium, barium, and calcium are the metals most commonly used in studies of fish migration, and concentrations of these metals were similar using different protocols. However, rivers within each study area were more easily distinguished from each other using metal concentration data obtained using USGS protocols compared to data obtained using research protocols. Information presented in this report can be used to develop studies that use identified metal signatures in connected water bodies and bony fish structures to demonstrate fish migration.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185143","collaboration":"Prepared in cooperation with the National Park Service and the Missouri Department of Conservation","usgsCitation":"Ziegeweid, J.R., Zigler, S.J., Maki, R.P., Karns, B.N., and Love, S.A., 2018, Method comparisons for determining concentrations of metals in water samples used in studies of fish migratory histories: U.S. Geological Survey Scientific Investigations Report 2018–5143, 20 p., https://doi.org/10.3133/sir20185143.","productDescription":"Report: vii; 20 p.; Appendixes: 3","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-097379","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":359070,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5143/sir20185143_appendix2_table2-1.xlsx","text":"Appendix 2","size":"40.7 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5143 Appendix 2"},{"id":359071,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5143/sir20185143_appendix3_table3-1.xlsx","text":"Appendix 3","size":"19.3 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5143 Appendix 3"},{"id":359068,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5143/sir20185143.pdf","text":"Report ","size":"2.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5143"},{"id":359067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5143/coverthb.jpg"},{"id":359069,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5143/sir20185143_appendix1","text":"Appendix 1","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018–5143 Appendix 1"}],"country":"Canada, United States","otherGeospatial":"Mississippi National River and Recreation Area, Namakan Reservoir, St. Croix National Scenic Riverway","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Director, Central Midwest Water Science Center
U.S. Geological Survey
405 N Goodwin Ave
Urbana, IL 61801
Climate change is expected to alter the composition, structure, and function of forested ecosystems in the United States (Vose et al. 2012). Increases in atmospheric concentrations of greenhouse gases (e.g., carbon dioxide [CO2]) and temperature, as well as altered precipitation and disturbance regimes (e.g., fire, insects, pathogens, and windstorms), are expected to have profound effects on biodiversity, socioeconomics, and the delivery of ecosystem services within the Northwest Forest Plan (NWFP, or Plan) area over the next century (Dale et al. 2001, Franklin et al. 1991). The ecological interactions and diversity of biophysical settings in the region are complex. The effects of climate change on ecological processes will occur through a variety of mechanisms at a range of spatial scales and levels of biological organization, ranging from the physiological responses of individual plants to the composition and structure of stands and landscapes (Peterson et al. 2014a). Understanding and incorporating how climate change projections and the potential ecological effects and uncertainties differ within the region (e.g., Deser et al. 2012) is essential for developing adaptation and mitigation strategies.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Synthesis of science to inform land management within the Northwest Forest Plan area","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","usgsCitation":"Reilly, M.J., Spies, T.A., Littell, J., Butz, R.J., and Kim, J.B., 2018, Climate, disturbance, and vulnerability to vegetation change in the Northwest Forest Plan Area: General Technical Report PNW-GTR-966, v. 1, 65 p.","productDescription":"65 p.","startPage":"29","endPage":"93","ipdsId":"IP-098852","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":359526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373414,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/pnw/pubs/pnw_gtr966.pdf"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.72753906249999,\n 37.89219554724437\n ],\n [\n -119.970703125,\n 37.89219554724437\n ],\n [\n -119.970703125,\n 49.095452162534826\n ],\n [\n -125.72753906249999,\n 49.095452162534826\n ],\n [\n -125.72753906249999,\n 37.89219554724437\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f34","contributors":{"authors":[{"text":"Reilly, Matthew J.","contributorId":209840,"corporation":false,"usgs":false,"family":"Reilly","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":27864,"text":"Oregon State University, College of Forestry","active":true,"usgs":false}],"preferred":false,"id":748937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spies, Thomas A.","contributorId":169892,"corporation":false,"usgs":false,"family":"Spies","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":748938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butz, Ramona J. 0000-0001-8595-0459","orcid":"https://orcid.org/0000-0001-8595-0459","contributorId":206787,"corporation":false,"usgs":false,"family":"Butz","given":"Ramona","email":"","middleInitial":"J.","affiliations":[{"id":37401,"text":"Humboldt State University, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":748939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, John B.","contributorId":209841,"corporation":false,"usgs":false,"family":"Kim","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":748940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200450,"text":"70200450 - 2018 - Climate Change in Port Heiden, Alaska - Strategies for Community Health","interactions":[],"lastModifiedDate":"2018-11-16T14:12:04","indexId":"70200450","displayToPublicDate":"2018-11-01T14:11:59","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Climate Change in Port Heiden, Alaska - Strategies for Community Health","docAbstract":"There are two components to this document. The first component is the scope of described environmental change and its impacts in Port Heiden Alaska. The second component is a list of priorities to be addressed that will help Port Heiden achieve its vision for the future. Each priority area incorporates local knowledge with available climate science and takes the expected future changes in to consideration.","language":"English","publisher":"Alaska Native Tribal Health Consortium","usgsCitation":"Lujan, E., Brubaker, M., Warren, J., Christensen, J., Anderson, S., O’Domin, M., Littell, J., Buzard, R., Overbeck, J.R., Holen, D., Flensburg, S., and Powers, E., 2018, Climate Change in Port Heiden, Alaska - Strategies for Community Health, 60 p.","productDescription":"60 p.","ipdsId":"IP-102134","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":359525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358510,"type":{"id":15,"text":"Index Page"},"url":"https://anthc.org/wp-content/uploads/2018/10/ANTHC-Port-Heiden_Final.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Port Heiden","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.0595703125,\n 55.73948169869349\n ],\n [\n -152.64404296874997,\n 55.73948169869349\n ],\n [\n -152.64404296874997,\n 59.80063426102869\n ],\n [\n -161.0595703125,\n 59.80063426102869\n ],\n [\n -161.0595703125,\n 55.73948169869349\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f36","contributors":{"authors":[{"text":"Lujan, Erica","contributorId":209832,"corporation":false,"usgs":false,"family":"Lujan","given":"Erica","email":"","affiliations":[{"id":38000,"text":"Alaska Native Tribal Health Consortrum","active":true,"usgs":false}],"preferred":false,"id":748926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brubaker, Mike","contributorId":209833,"corporation":false,"usgs":false,"family":"Brubaker","given":"Mike","email":"","affiliations":[{"id":38000,"text":"Alaska Native Tribal Health Consortrum","active":true,"usgs":false}],"preferred":false,"id":748927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, John","contributorId":210671,"corporation":false,"usgs":false,"family":"Warren","given":"John","affiliations":[],"preferred":false,"id":751425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Jaclyn","contributorId":209834,"corporation":false,"usgs":false,"family":"Christensen","given":"Jaclyn","email":"","affiliations":[{"id":38001,"text":"Native Village of Port Heiden, Brownfields Program","active":true,"usgs":false}],"preferred":false,"id":748928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Scott","contributorId":56997,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","affiliations":[],"preferred":false,"id":748929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Domin, Melissa","contributorId":209835,"corporation":false,"usgs":false,"family":"O’Domin","given":"Melissa","email":"","affiliations":[{"id":38002,"text":"Native Village of Port Heiden, Environmental Program","active":true,"usgs":false}],"preferred":false,"id":748930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buzard, Richard M.","contributorId":208627,"corporation":false,"usgs":false,"family":"Buzard","given":"Richard M.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":748931,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Overbeck, Jacquelyn R.","contributorId":181813,"corporation":false,"usgs":false,"family":"Overbeck","given":"Jacquelyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":748932,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holen, Davin","contributorId":209837,"corporation":false,"usgs":false,"family":"Holen","given":"Davin","email":"","affiliations":[{"id":38004,"text":"Alaska Sea Grant, Adapt Alaska","active":true,"usgs":false}],"preferred":false,"id":748933,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flensburg, Sue","contributorId":209838,"corporation":false,"usgs":false,"family":"Flensburg","given":"Sue","email":"","affiliations":[{"id":38005,"text":"Bristol Bay Native Association, Environmental Program","active":true,"usgs":false}],"preferred":false,"id":748934,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Powers, Elizabeth","contributorId":209839,"corporation":false,"usgs":false,"family":"Powers","given":"Elizabeth","affiliations":[{"id":38006,"text":"Western Alaska Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":748935,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70200639,"text":"70200639 - 2018 - Estimating the risk of elk-to-livestock brucellosis transmission in Montana","interactions":[],"lastModifiedDate":"2018-11-16T13:45:09","indexId":"70200639","displayToPublicDate":"2018-11-01T13:45:05","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Estimating the risk of elk-to-livestock brucellosis transmission in Montana","docAbstract":"Wildlife reservoirs of infectious disease are a major source of human-wildlife conflict because of the risk of potential spillover associated with commingling of wildlife and livestock. In Montana, the presence of brucellosis (Brucella abortus) in free-ranging elk (Cervus canadensis) populations is of significant management concern because of the risk of disease transmission from elk to livestock. To help mitigate potential conflict, we identified how spillover risk changes through space and time using a combination of elk population, disease, and movement data. We developed resource selection functions using telemetry data from 223 female elk to predict the relative probability of female elk occurrence on a daily basis during the 15 February-30 June transmission risk period. We combined these spatiotemporal predictions with elk seroprevalence, demography, and abortion timing data to identify when and where abortions (the primary transmission route of brucellosis) were most likely to occur. Additionally, we integrated these predictions with spatiotemporal data on livestock distribution to estimate the daily risk of livestock encountering brucellosis-induced elk abortions. We estimated that a minimum of ~17,500 adult female elk lived within our study area, which resulted in a conservative estimate of ~525 brucellosis-induced abortions each year. We predicted that approximately half of the transmission events occurred on livestock properties and 98% of those properties were private ranchlands as opposed to state or federal grazing allotments. Our fine-resolution (250-m spatial, 1-day temporal), large-scale (17,732 km2) predictions of potential elk-to-livestock transmission risk provide wildlife and livestock managers with a useful tool to identify higher risk areas in space and time and proactively focus actions in these areas to separate elk and livestock to reduce spillover risk.
","language":"English","publisher":"Montana Fish, Wildlife and Parks","usgsCitation":"Rayl, N.D., Proffitt, K., Almberg, E.S., Jones, J.D., Merkle, J., Gude, J., and Cross, P.C., 2018, Estimating the risk of elk-to-livestock brucellosis transmission in Montana, 56 p.","productDescription":"56 p.","ipdsId":"IP-098928","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":359521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358823,"type":{"id":15,"text":"Index Page"},"url":"https://fwp.mt.gov/fwpDoc.html?id=87528"}],"country":"United States","state":"Montana","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f38","contributors":{"authors":[{"text":"Rayl, Nathaniel D. 0000-0003-3846-2764","orcid":"https://orcid.org/0000-0003-3846-2764","contributorId":202350,"corporation":false,"usgs":true,"family":"Rayl","given":"Nathaniel","email":"","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":749810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Proffitt, Kelly 0000-0001-5528-3309","orcid":"https://orcid.org/0000-0001-5528-3309","contributorId":210093,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly","email":"","affiliations":[{"id":38065,"text":"Montana Fish, Wildlife and Parks, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":749811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Almberg, Emily S.","contributorId":207014,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":749812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Jennifer D.","contributorId":145754,"corporation":false,"usgs":false,"family":"Jones","given":"Jennifer","email":"","middleInitial":"D.","affiliations":[{"id":16227,"text":"Institute on Ecosystems,Montana State University MT, 59715 USA","active":true,"usgs":false}],"preferred":false,"id":749813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":749814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gude, Justin A.","contributorId":210094,"corporation":false,"usgs":false,"family":"Gude","given":"Justin A.","affiliations":[{"id":38066,"text":"Montana Fish, Wildlife and Parks,","active":true,"usgs":false}],"preferred":false,"id":749815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":749809,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202214,"text":"70202214 - 2018 - Use of carbon dioxide in zebra mussel (Dreissena polymorpha) control and safety to a native freshwater mussel (Fatmucket, Lampsilis siliquoidea)","interactions":[],"lastModifiedDate":"2019-02-14T13:26:06","indexId":"70202214","displayToPublicDate":"2018-11-01T13:25:55","publicationYear":"2018","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}},"displayTitle":"Use of carbon dioxide in zebra mussel (Dreissena polymorpha) control and safety to a native freshwater mussel (Fatmucket, Lampsilis siliquoidea)","title":"Use of carbon dioxide in zebra mussel (Dreissena polymorpha) control and safety to a native freshwater mussel (Fatmucket, Lampsilis siliquoidea)","docAbstract":"Control technology for dreissenid mussels (Dreissena polymorpha and D. bugensis) currently relies heavily on chemical molluscicides that can be both costly and ecologically harmful. There is a need for more environmentally neutral tools to manage dreissenid mussels, particularly in cooler water. Carbon dioxide (CO2) has been shown to be lethal to several species of invasive bivalves, including zebra mussels and Asian clams (Corbicula fluminea). We evaluated the effectiveness of unpressurized infusion of CO2 for 24 to 96 h (100 000–300 000 µatm PCO2) at a water temperature of 12 °C on mortality, byssal thread formation, and attachment of zebra mussels. The safety of elevated CO2 to a nontarget native freshwater mussel (Fatmucket, Lampsilis siliquoidea) was also determined. Elevated PCO2 exposure induced narcotization and reduced attachment of zebra mussels within 24 h. Mortality increased with exposure duration and PCO2. An estimated LT50 (lethal time to produce 50% mortality) for fixed PCO2 ranged from 24 h at 275 000 µatm to ~ 96 h at 100 000 µatm. Exposure of zebra mussels to CO2 for 96 h caused 80–100% mortality at all treatment levels. Fatmucket juveniles survived all PCO2 treatments but burial and byssal thread production were adversely affected during exposure. Our results demonstrate that CO2 is a viable option for management of zebra mussels in cool water and may have less adverse effect for native lampsiline mussels than current-use molluscicides.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2018.9.4.07","usgsCitation":"Waller, D.L., and Bartsch, M.R., 2018, Use of carbon dioxide in zebra mussel (Dreissena polymorpha) control and safety to a native freshwater mussel (Fatmucket, Lampsilis siliquoidea): Management of Biological Invasions, v. 9, no. 4, p. 439-450, https://doi.org/10.3391/mbi.2018.9.4.07.","productDescription":"12 p.","startPage":"439","endPage":"450","ipdsId":"IP-095368","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468270,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2018.9.4.07","text":"Publisher Index Page"},{"id":437696,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E9BTEC","text":"USGS data release","linkHelpText":"Evaluation of Carbon dioxide as a dreissenid control tool: Data"},{"id":361264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202215,"text":"70202215 - 2018 - Effects of temperature and exposure duration on four potential rapid-response tools for zebra mussel (Dreissena polymorpha) eradication","interactions":[],"lastModifiedDate":"2019-02-14T13:21:24","indexId":"70202215","displayToPublicDate":"2018-11-01T13:21:18","publicationYear":"2018","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}},"displayTitle":"Effects of temperature and exposure duration on four potential rapid-response tools for zebra mussel (Dreissena polymorpha) eradication","title":"Effects of temperature and exposure duration on four potential rapid-response tools for zebra mussel (Dreissena polymorpha) eradication","docAbstract":"Zebra mussels (Dreissena polymorpha) have continued their spread within inland lakes and rivers in North America despite diligent containment and decontamination efforts by natural resource agencies and other stakeholders. Identification of newly infested waterways by early detection surveillance programs allows for rapid response zebra mussel eradication treatments in some situations. Previous eradication treatments have occurred over a broad range of water temperatures which have influenced the efficacy of molluscicides. Natural resource managers will benefit from knowledge regarding the impacts of water temperature and exposure duration on the toxicity of molluscicides to zebra mussels. In particular, temperature specific data are needed to inform the selection of an effective molluscicide and the proper dose that will induce 100% zebra mussel mortality. We evaluated the influences of temperature and exposure duration on the toxicity of two U.S. EPA-registered (EarthTec QZ and Zequanox) and two nonregistered (niclosamide and potassium chloride) molluscicides to zebra mussels at water temperatures of 7, 12, 17, and 22 °C. Our results indicate that treatment options for the eradication of zebra mussels in waters ≤ 12 °C include 336 h or longer treatments with EarthTec QZ and KCl as well as treatments with niclosamide ≥ 24 h in duration. In waters ≥ 17 °C, multiple toxicant and exposure duration combinations are potentially effective for zebra mussel eradication. On-site or in situ zebra mussel bioassays are a useful tool for the evaluation of treatment efficacy.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2018.9.4.06","usgsCitation":"Luoma, J.A., Severson, T.J., Barbour, M., and Wise, J.K., 2018, Effects of temperature and exposure duration on four potential rapid-response tools for zebra mussel (Dreissena polymorpha) eradication: Management of Biological Invasions, v. 9, no. 4, p. 425-438, https://doi.org/10.3391/mbi.2018.9.4.06.","productDescription":"14 p.","startPage":"425","endPage":"438","ipdsId":"IP-095367","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2018.9.4.06","text":"Publisher Index Page"},{"id":361263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbour, Matthew 0000-0002-0095-9188 mbarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-9188","contributorId":195580,"corporation":false,"usgs":true,"family":"Barbour","given":"Matthew","email":"mbarbour@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757281,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202377,"text":"70202377 - 2018 - Blue carbon as a tool to support coastal management and restoration: Bringing wetlands to market case study","interactions":[],"lastModifiedDate":"2019-03-01T13:13:21","indexId":"70202377","displayToPublicDate":"2018-11-01T13:13:12","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Blue carbon as a tool to support coastal management and restoration: Bringing wetlands to market case study","docAbstract":"A collaborative research approach involving substantial end user and stakeholder engagement was applied to great effect to guide broad, integrated investigation of the science, policy, and management of blue carbon and carbon markets as drivers for coastal wetland management and restoration.
Expanding awareness about blue carbon concepts among local, state, and federal agencies and the public was found to be effective at stimulating interest in taking climate-change mitigation action through wetland protection and restoration, as well as increasing understanding about the overall value of coastal wetlands and the services they provide.
Interest in blue carbon is high regardless of the potential for financial benefits through a carbon market. For end users such as the Massachusetts Division of Ecological Restoration and National Park Service Cape Cod National Seashore and many others, the ability to highlight the climate benefits of ecological restoration to stakeholders may have greater value than financial benefits from sale of carbon market credits.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A blue carbon primer: The state of coastal wetland carbon science, practice and policy","language":"English","publisher":"CRC Press","doi":"10.1201/9780429435362-25","usgsCitation":"Surgeon-Rogers, T., Kroeger, K.D., Gonneea Eagle, M., Abdul-Aziz, O.I., Tang, J., and Moseman-Valtierra, S., 2018, Blue carbon as a tool to support coastal management and restoration: Bringing wetlands to market case study, chap. of A blue carbon primer: The state of coastal wetland carbon science, practice and policy, Chapter 25; 13 p., https://doi.org/10.1201/9780429435362-25.","productDescription":"Chapter 25; 13 p.","ipdsId":"IP-097001","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":758609,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Crooks, Stephen","contributorId":211098,"corporation":false,"usgs":false,"family":"Crooks","given":"Stephen","affiliations":[{"id":38182,"text":"Silvestrum Climate Associates","active":true,"usgs":false}],"preferred":false,"id":758610,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Troxler, Tiffany G.","contributorId":140212,"corporation":false,"usgs":false,"family":"Troxler","given":"Tiffany","email":"","middleInitial":"G.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":758611,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Surgeon-Rogers, Tonna-Marie","contributorId":213598,"corporation":false,"usgs":false,"family":"Surgeon-Rogers","given":"Tonna-Marie","email":"","affiliations":[{"id":38818,"text":"Waquoit Bay National Estuarine Research Reserve 131 Waquoit Highway Waquoit, MA 02536","active":true,"usgs":false}],"preferred":false,"id":758097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":758096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abdul-Aziz, Omar I.","contributorId":192386,"corporation":false,"usgs":false,"family":"Abdul-Aziz","given":"Omar","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":758098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":758099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moseman-Valtierra, Serena","contributorId":140087,"corporation":false,"usgs":false,"family":"Moseman-Valtierra","given":"Serena","email":"","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":758100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200703,"text":"70200703 - 2018 - Gravity signature of basaltic fill in Kīlauea caldera, Island of Hawai‘i","interactions":[],"lastModifiedDate":"2019-10-28T09:35:22","indexId":"70200703","displayToPublicDate":"2018-11-01T13:06:15","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"13","title":"Gravity signature of basaltic fill in Kīlauea caldera, Island of Hawai‘i","docAbstract":"Characterization of the subsurface structure of a volcanic edifice is essential to understanding volcanic behavior. One of the best-studied volcanoes is Kīlauea (Island of Hawai‘i). Geological evidence suggests that the formation of the summit caldera of Kīlauea is cyclic, with repeated collapse followed by filling with lava. The most recent collapse occurred ca. 1500 CE, producing a basin that is several hundred meters deeper than the current caldera. In this study, we used two- and three-dimensional gravity modeling of spatially dense gravity data covering the summit area to suggest that, since its formation in 1500 CE, the caldera has been progressively filled by lava flows that are slightly denser than those found in the rim and outboard of the caldera. The geometry of this fill, inferred from gravity data, enables us to reconstruct the morphology of the 1500 CE caldera before its subsequent filling. The coincidence of fumarolic zones and thermal anomalies observed at the surface with the interpreted 1500 CE caldera rim suggests that hydrothermal fluid circulation is guided by the more permeable inner faults bounding the main caldera.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Field volcanology: A tribute to the distinguished career of Don Swanson: Geological Society of America Special Paper 538","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"The Geological Society of America","doi":"10.1130/2018.2538(13)","isbn":"9780813795386","usgsCitation":"Gailler, L., and Kauahikaua, J.P., 2018, Gravity signature of basaltic fill in Kīlauea caldera, Island of Hawai‘i, chap. 13 of Field volcanology: A tribute to the distinguished career of Don Swanson: Geological Society of America Special Paper 538, v. 538, p. 297-306, https://doi.org/10.1130/2018.2538(13).","productDescription":"10 p.","startPage":"297","endPage":"306","ipdsId":"IP-080434","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":460819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/2018.2538(13)","text":"Publisher Index Page"},{"id":359516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.35354614257812,\n 19.330582575049508\n ],\n [\n -155.15853881835938,\n 19.330582575049508\n ],\n [\n -155.15853881835938,\n 19.47500813674322\n ],\n [\n -155.35354614257812,\n 19.47500813674322\n ],\n [\n -155.35354614257812,\n 19.330582575049508\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"538","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bbe4b045bfcadf7f3a","contributors":{"authors":[{"text":"Gailler, Lydie 0000-0002-8132-2428","orcid":"https://orcid.org/0000-0002-8132-2428","contributorId":192584,"corporation":false,"usgs":false,"family":"Gailler","given":"Lydie","email":"","affiliations":[],"preferred":false,"id":750172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":750171,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202217,"text":"70202217 - 2018 - Correlating sea lamprey density with environmental DNA detections in the lab","interactions":[],"lastModifiedDate":"2019-02-15T12:56:56","indexId":"70202217","displayToPublicDate":"2018-11-01T12:56:49","publicationYear":"2018","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":"Correlating sea lamprey density with environmental DNA detections in the lab","docAbstract":"Invasive sea lamprey (Petromyzon marinus Linnaeus, 1758) are currently managed by the Great Lakes Fishery Commission in an effort to reduce pest populations below levels that cause ecological damage. One technique to improve stream population assessments could be molecular surveillance in the form of environmental DNA (eDNA) monitoring. We developed and validated four probe-based quantitative polymerase chain reaction (qPCR) assays, then used two probes (cytb, nd1) to determine whether eDNA concentration was correlated with adult and larval sea lamprey density in the lab. We found a strong positive correlation between adult sea lamprey densities of 2, 20, and 200 individuals/2000L and eDNA concentrations in tanks using both assays (cytb, nd1). For larval laboratory tank density trials, eDNA concentrations were generally near our limit of quantification and there was no significant difference in copy numbers detected between larval sea lamprey densities of 1, 5, and 25 individuals/28L. Therefore, we examined detection probability rather than concentration with laboratory tank densities. We observed a trend of increasing detection probabilities with increased larval sea lamprey density that approached significance suggesting that when DNA copy numbers are low, detection rates may be more informative in predicting varying densities of larval sea lamprey. The ability to assess sea lamprey densities from a water sample could be a powerful tool to improve traditional assessment and stream ranking techniques. Further refinement of this method in the field may make eDNA surveillance of sea lamprey a reliable part of stream assessments. Rapid eDNA analysis from many streams may help focus traditional assessment efforts, thereby improving the efficiency of invasive sea lamprey control efforts.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2018.9.4.11","usgsCitation":"Schloesser, N.A., Merkes, C.M., Rees, C., Amberg, J., Steeves, T.B., and Docker, M.F., 2018, Correlating sea lamprey density with environmental DNA detections in the lab: Management of Biological Invasions, v. 9, no. 4, p. 483-495, https://doi.org/10.3391/mbi.2018.9.4.11.","productDescription":"13 p.","startPage":"483","endPage":"495","ipdsId":"IP-094039","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468272,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2018.9.4.11","text":"Publisher Index Page"},{"id":437697,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DR2TD0","text":"USGS data release","linkHelpText":"Sea lamprey quantitative environmental DNA surveillance"},{"id":361290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schloesser, Nicholas A. 0000-0002-3815-5302 nschloesser@usgs.gov","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":169551,"corporation":false,"usgs":false,"family":"Schloesser","given":"Nicholas","email":"nschloesser@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":757295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steeves, Todd B.","contributorId":126761,"corporation":false,"usgs":false,"family":"Steeves","given":"Todd","email":"","middleInitial":"B.","affiliations":[{"id":6598,"text":"Department of Fisheries and Oceans, Canada, Sea Lamprey Control Centre","active":true,"usgs":false}],"preferred":false,"id":757297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":757298,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201612,"text":"70201612 - 2018 - The approaching obsolescence of 137Cs dating of wetland soils in North America","interactions":[],"lastModifiedDate":"2018-12-18T12:49:01","indexId":"70201612","displayToPublicDate":"2018-11-01T12:49:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The approaching obsolescence of 137Cs dating of wetland soils in North America","title":"The approaching obsolescence of 137Cs dating of wetland soils in North America","docAbstract":"The peak fallout in 1963 of the radionuclide 137Cs has been used to date lake, reservoir, continental shelf, and wetland sedimentary deposits. In wetlands such dating is used to project the ability of wetlands to keep pace with sea level rise and develop strategies for mitigating carbon pollution using biological carbon sequestration. Here we demonstrate that reliable 137Cs profiles are increasingly difficult to obtain from wetland soils. Among 58 soil cores recently collected from a range of wetland types and 137Cs fallout densities across the United States, 25% contain no identifiable 137Cs peaks. Less than 40% of 137Cs ages are consistent with 210Pb dating. We provide a new measure of 137Cs peak clarity (τ) for our core dataset by comparing the 50% interquartile range of data around the 137Cs peak for “ideal” cores profiles determined using 137Cs fallout data to that of observed core profiles. Our results show that overall τ is approximately 10 times greater for observed cores than ideal cores. The deterioration in the 137Cs peak has occurred due to radionuclide decay, 137Cs migration in situ, which is ubiquitous in this study, and 137Cs amendments from surface waters. Such deterioration likely extends to both Mexican and non-permafrost, Canadian wetlands. We recommend continued use of 137Cs only if the full bound of dating uncertainty for both 137Cs and an additional method such as 210Pb is propagated into estimates of wetland vertical accretion and carbon sequestration.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2018.08.028","usgsCitation":"Drexler, J.Z., Fuller, C.C., and Archfield, S.A., 2018, The approaching obsolescence of 137Cs dating of wetland soils in North America: Quaternary Science Reviews, v. 199, p. 83-96, https://doi.org/10.1016/j.quascirev.2018.08.028.","productDescription":"14 p.","startPage":"83","endPage":"96","ipdsId":"IP-095998","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2018.08.028","text":"Publisher Index Page"},{"id":360460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"199","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1532e4b0708288c2352c","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":754535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":754537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202559,"text":"70202559 - 2018 - Overwintering behavior of juvenile sea turtles at a temperate foraging ground","interactions":[],"lastModifiedDate":"2019-03-11T12:25:27","indexId":"70202559","displayToPublicDate":"2018-11-01T12:25:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Overwintering behavior of juvenile sea turtles at a temperate foraging ground","docAbstract":"Most freshwater and terrestrial turtle species that inhabit temperate environments hibernate to survive extreme cold periods. However, for sea turtles, the question of whether these species use hibernation as an overwintering strategy has not been resolved (Ultsch 2006). Felger et al. (1976) suggested that sea turtles bury themselves in mud on the seafloor and remain dormant throughout the winter, presumably not surfacing during that time. Additional researchers have described sea turtles in temperatures <15°C as lethargic, mud‐covered and buried in bottom sediment (Carr et al. 1980, Mendonça 1983, Ogren and McVea 1995). However, more recent studies suggest that sea turtles may not be as dormant in cold temperatures as previously suggested (Hochscheid et al. 2007). Resolving this question is difficult due to the unpredictability of winter weather patterns and the cost of advanced tracking tools required to assess these fine‐scale behaviors. However, in January 2018, unusually calm and clear marine conditions coupled with exceptionally cold weather provided us the opportunity to observe and film turtle behavior at a foraging ground in the northern Gulf of Mexico. These images, combined with previously gathered data from vessel‐based surveys and water temperature loggers, have enabled us to piece together one of the most comprehensive views of sea turtle overwintering behavior to date.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2439","usgsCitation":"Lamont, M.M., Seay, D.R., and Gault, K., 2018, Overwintering behavior of juvenile sea turtles at a temperate foraging ground: Ecology, v. 99, no. 11, p. 2621-2624, https://doi.org/10.1002/ecy.2439.","productDescription":"4 p.","startPage":"2621","endPage":"2624","ipdsId":"IP-095734","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":361942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":759111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seay, David R. 0000-0001-5473-9474","orcid":"https://orcid.org/0000-0001-5473-9474","contributorId":214086,"corporation":false,"usgs":false,"family":"Seay","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":27063,"text":"Cherokee Nations Technology","active":true,"usgs":false}],"preferred":false,"id":759112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gault, Kathleen","contributorId":214087,"corporation":false,"usgs":false,"family":"Gault","given":"Kathleen","email":"","affiliations":[{"id":38979,"text":"Eglin Air Force Base","active":true,"usgs":false}],"preferred":false,"id":759113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201173,"text":"70201173 - 2018 - Environmental factors influencing entry of fishes into a Great Lakes tributary during spring and summer","interactions":[],"lastModifiedDate":"2018-12-04T12:02:42","indexId":"70201173","displayToPublicDate":"2018-11-01T12:02:36","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Environmental factors influencing entry of fishes into a Great Lakes tributary during spring and summer","docAbstract":"Stream entry of many fishes is influenced by environmental factors including water temperature, stream discharge, and photoperiod (Leggett 1977; Jonsson 1991). Environmental factors influence stream entry differently depending on the species and life stage of fish, likely because of varying physiologies and life histories (Lucas and Baras 2008). Many spring-run migratory fishes occupy Laurentian Great Lakes Basin (e.g., lake sturgeon, Acipenser fulvescens; steelhead, Oncorhynchus mykiss; white sucker, Catostomus commersonii; coho salmon, Oncorhynchus kisutch; and sea lamprey, Petromyzon marinus), and the timing of when they enter a river system each year is likely influenced by different environmental variables. For example, water temperature and stream discharge seem to be two of the triggers to upstream movement for many migratory fishes in the Great Lakes region (Hamel et al. 1997; Workman et al. 2002; Binder et al. 2010). Although much is known about the environmental cues for upstream migration of many species in the Great Lakes, understanding fish migration at higher spatial and temporal resolutions is needed (Landsman et al. 2011), especially in and around fishways. Therefore, our goal was to determine what factors influence the timing of fish entry into a Lake Michigan tributary at a relatively high temporal resolution using a noninvasive and continuous monitoring technique.
Enhanced understanding of the environmental cues that trigger fish movement in Great Lakes tributaries is important because it can improve recreation, native fish restoration, and invasive species control. For example, fisheries managers need to know when and at which life stage fish are moving into the rivers to establish closed seasons and catch limits. Additionally, knowing when native or invasive species move upstream can inform the operation of selective fishways and hydropower facilities that protect native or economically valuable fishes (e.g., lake sturgeon, white sucker, steelhead, coho salmon) while blocking invasive species (e.g., sea lamprey).
Here, we evaluate the environmental triggers of stream entry for three size classes of migratory fishes in the Lower Boardman River. Located in northern Michigan, the Boardman River is an important system for improving knowledge of fish migration because of its high productivity and value to the local community. Many fishes would benefit from increased habitat connectivity in the Boardman River, which connects a productive and relatively pristine tributary with a large and productive bay. The Boardman River is valued by both recreational and tribal stakeholders and is the focus of a restoration project aimed at improving habitat connectivity by removing and modifying all existing dams. For these reasons, the Great Lakes Fishery Commission is leading a project to replace the Union Street Dam on the Boardman River with a facility that integrates various technologies to pass desirable fish up- and down-stream while blocking and removing undesirable fish (the FishPass project). Using Dual-frequency Identification Sonar (DIDSON) cameras, we characterized the sizes of fishes migrating into the Boardman River below the Union Street Dam as well as the timing of their movements. Our results provide fine-scale details on the timing of fish movements in the Boardman River and directly inform the FishPass project. We were specifically interested in the movement timing of sea lamprey, an undesirable invasive fish that must not be passed upstream at FishPass, and lake sturgeon, a highly desired native fish that should pass upstream.
","language":"English","publisher":"Conservation Resource Alliance","usgsCitation":"McCann, E.L., Johnson, N., and Zielinski, D.P., 2018, Environmental factors influencing entry of fishes into a Great Lakes tributary during spring and summer, 24 p.","productDescription":"24 p.","ipdsId":"IP-096646","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":359936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359893,"type":{"id":15,"text":"Index Page"},"url":"https://theboardman.org/archived-documents/reports-documents.html"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c07a064e4b0815414cee781","contributors":{"authors":[{"text":"McCann, Erin L.","contributorId":195636,"corporation":false,"usgs":false,"family":"McCann","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":753047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zielinski, Daniel P.","contributorId":211034,"corporation":false,"usgs":false,"family":"Zielinski","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":34820,"text":"Great Lakes Fisheries Commission, Ann Arbor, MI","active":true,"usgs":false}],"preferred":false,"id":753048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201039,"text":"70201039 - 2018 - Optimizing a remote sensing production efficiency model for macro-scale GPP and yield estimation in agroecosystems","interactions":[],"lastModifiedDate":"2018-11-26T11:55:00","indexId":"70201039","displayToPublicDate":"2018-11-01T11:54:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing a remote sensing production efficiency model for macro-scale GPP and yield estimation in agroecosystems","docAbstract":"Earth observation data are increasingly used to provide consistent eco-physiological information over large areas through time. Production efficiency models (PEMs) estimate Gross Primary Production (GPP) as a function of the fraction of photosynthetically active radiation absorbed by the canopy, which is derived from Earth observation. GPP can be summed over the growing season and adjusted by a crop-specific harvest index to estimate yield. Although PEMs have many advantages over other crop yield models, they are not widely used, because performance is relatively poor. Here, a new PEM is presented that addresses deficiencies for macro-scale application: Production Efficiency Model Optimized for Crops (PEMOC). It was developed by optimizing functions from the literature with GPP estimated by eddy covariance flux towers in the United States. The model was evaluated using newly developed Earth observation products and county-level yield statistics for major crops. PEMOC generally performed better at the field and county level than another commonly used PEM, the Moderate Resolution Imaging Spectroradiometer GPP (MOD17). PEMOC and MOD17 estimates of GPP had an R2 and root mean squared error (RMSE) over the growing season of 0.71–0.89 (9.87–17.47 g CO2 d−1) and 0.59–0.83 (6.86–22.20 g CO2 d−1) with flux tower GPP. PEMOC produced R2s and RMSE of 0.70 (0.52), 0.60 (0.61), and 0.62 (0.59), while MOD17 produced R2s and RMSE of 0.65 (0.57), 0.53 (0.66), and 0.65 (0.57) with corn, soybean, and winter wheat crop yield anomalies. The sample size of rice was small, so yields were compared directly. PEMOC and MOD17 produced R2s and RMSE of 0.53 (3.42 t ha−1) and 0.40 (4.89 t ha−1). The most sizeable model improvements were seen for C3 and C4 crops during emergence/senescence and peak season, respectively. These improvements were attributed to C3 and C4 partitioning, optimized temperature and moisture constraints, and an evapotranspiration-based soil moisture index.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2018.08.001","usgsCitation":"Marshall, M., Tu, K., and Brown, J.F., 2018, Optimizing a remote sensing production efficiency model for macro-scale GPP and yield estimation in agroecosystems: Remote Sensing of Environment, v. 217, p. 258-271, https://doi.org/10.1016/j.rse.2018.08.001.","productDescription":"14 p.","startPage":"258","endPage":"271","ipdsId":"IP-082657","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2018.08.001","text":"Publisher Index Page"},{"id":359657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"217","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfd146ee4b0815414ca38f6","contributors":{"authors":[{"text":"Marshall, Michael","contributorId":65216,"corporation":false,"usgs":true,"family":"Marshall","given":"Michael","email":"","affiliations":[],"preferred":false,"id":751963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tu, Kevin","contributorId":210791,"corporation":false,"usgs":false,"family":"Tu","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":751964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":751962,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200791,"text":"70200791 - 2018 - Changes in growth of Rainbow Trout in a Catskill Mountain Reservoir following Alewife and White Perch Introductions","interactions":[],"lastModifiedDate":"2018-11-01T11:49:26","indexId":"70200791","displayToPublicDate":"2018-11-01T11:49:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Changes in growth of Rainbow Trout in a Catskill Mountain Reservoir following Alewife and White Perch Introductions","docAbstract":"Rainbow Trout Oncorhynchus mykiss were introduced to the Esopus Creek watershed in the Catskill Mountains of New York in the early 1880s. This introduction created a renowned naturalized fishery that remains important to the local economy today. The objective of this study was to determine whether the growth and condition of Rainbow Trout in the Ashokan Reservoir changed following the establishment of (1) Alewives Alosa pseudoharengus in the 1970s and (2) White Perch Morone americana in the 2000s by analyzing historical scale samples from 502 Rainbow Trout. The resulting data were used to compare length at age, von Bertalanffy growth curves, age‐specific annual growth increments, and relative weight before and after each introduction. Results indicated that growth of Rainbow Trout of ages <5 years generally increased following each introduction, while insufficient data for ages 5 and 6 made trends for older fish unclear. Rainbow Trout of ages ≤2 are believed to primarily use riverine habitats in this watershed, and therefore fish of ages >2 may best reflect reservoir growth. The mean relative weight of Rainbow Trout also increased between each period. The largest increases in both growth and condition were observed during the period after the introduction of White Perch, which was unexpected considering this species may have some diet overlap with Rainbow Trout and should be a poor forage species. Changes in watershed management and density‐dependent growth effects may explain these unexpected results. Our results, which largely suggest increased growth and condition over time, eliminate growth effects as a possible explanation for declining Rainbow Trout populations and suggest recruitment issues in the watershed require further investigation. This study contributes to our understanding of the interactions between introduced species and underscores the value of maintaining long‐term monitoring programs for assessing biological trends.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10203","usgsCitation":"George, S.D., Baldigo, B.P., Flaherty, M.J., and Randall, E.A., 2018, Changes in growth of Rainbow Trout in a Catskill Mountain Reservoir following Alewife and White Perch Introductions: North American Journal of Fisheries Management, v. 38, no. 5, p. 1027-1038, https://doi.org/10.1002/nafm.10203.","productDescription":"12 p.","startPage":"1027","endPage":"1038","ipdsId":"IP-080228","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":359066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Ashokan Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.5,\n 41.8333\n ],\n [\n -74,\n 41.8333\n ],\n [\n -74,\n 42.25\n ],\n [\n -74.5,\n 42.25\n ],\n [\n -74.5,\n 41.8333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-12","publicationStatus":"PW","scienceBaseUri":"5c10a8fee4b034bf6a7e4ed8","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flaherty, Michael J.","contributorId":210348,"corporation":false,"usgs":false,"family":"Flaherty","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":750530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Eileen A.","contributorId":210349,"corporation":false,"usgs":false,"family":"Randall","given":"Eileen","email":"","middleInitial":"A.","affiliations":[{"id":38104,"text":"EcoLogic LLC","active":true,"usgs":false}],"preferred":false,"id":750531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200792,"text":"70200792 - 2018 - A multidisciplinary-based conceptual model of a fractured sedimentary bedrock aquitard: improved prediction of aquitard integrity","interactions":[],"lastModifiedDate":"2018-11-01T11:20:58","indexId":"70200792","displayToPublicDate":"2018-11-01T11:20:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"A multidisciplinary-based conceptual model of a fractured sedimentary bedrock aquitard: improved prediction of aquitard integrity","docAbstract":"A hydrogeologic conceptual model that improves understanding of variability in aquitard integrity is presented for a fractured sedimentary bedrock unit in the Cambrian-Ordovician aquifer system of midcontinent North America. The model is derived from multiple studies on the siliciclastic St. Lawrence Formation and adjacent strata across a range of scales and geologic conditions. These studies employed multidisciplinary techniques including borehole flowmeter logging, high-resolution depth-discrete multilevel well monitoring, fracture stratigraphy, fluorescent dye tracing, and three-dimensional (3D) distribution of anthropogenic tracers regionally. The paper documents a bulk aquitard that is highly anisotropic because of poor connectivity of vertical fractures across matrix with low permeability, but with ubiquitous bed parallel partings. The partings provide high bulk horizontal hydraulic conductivity, analogous to aquifers in the system, while multiple preferential termination horizons of vertical fractures serve as discrete low vertical hydraulic conductivity intervals inhibiting vertical flow. The aquitard has substantial variability in its ability to protect underlying groundwater from contamination. Across widespread areas where the aquitard is deeply buried by younger bedrock, preferential termination horizons provide for high aquitard integrity (i.e. protection). Protection is diminished close to incised valleys where stress release and weathering has enhanced secondary pore development, including better connection of fractures across these horizons. These conditions, along with higher hydraulic head gradients in the same areas and more complex 3D flow where the aquitard is variably incised, allow for more substantial transport to deeper aquifers. The conceptual model likely applies to other fractured sedimentary bedrock aquitards within and outside of this region.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-018-1794-2","usgsCitation":"Runkel, A.C., Tipping, R.G., Meyer, J.R., Steenberg, J.R., Retzler, A.J., Parker, B.L., Green, J.A., Barry, J.D., and Jones, P.M., 2018, A multidisciplinary-based conceptual model of a fractured sedimentary bedrock aquitard: improved prediction of aquitard integrity: Hydrogeology Journal, v. 26, no. 7, p. 2133-2159, https://doi.org/10.1007/s10040-018-1794-2.","productDescription":"27 p.","startPage":"2133","endPage":"2159","ipdsId":"IP-031151","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":359064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.6639404296875,\n 43.49676775343911\n ],\n [\n -91.23596191406249,\n 43.49676775343911\n ],\n [\n -91.23596191406249,\n 45.30193900072719\n ],\n [\n -93.6639404296875,\n 45.30193900072719\n ],\n [\n -93.6639404296875,\n 43.49676775343911\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-01","publicationStatus":"PW","scienceBaseUri":"5c10a8ffe4b034bf6a7e4eda","contributors":{"authors":[{"text":"Runkel, Anthony C.","contributorId":210350,"corporation":false,"usgs":false,"family":"Runkel","given":"Anthony","email":"","middleInitial":"C.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":750533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tipping, Robert G.","contributorId":210351,"corporation":false,"usgs":false,"family":"Tipping","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":750534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Jessica R.","contributorId":210352,"corporation":false,"usgs":false,"family":"Meyer","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":750535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenberg, Julia R.","contributorId":210353,"corporation":false,"usgs":false,"family":"Steenberg","given":"Julia","email":"","middleInitial":"R.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":750536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Retzler, Andrew J.","contributorId":210354,"corporation":false,"usgs":false,"family":"Retzler","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":750537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Beth L.","contributorId":209230,"corporation":false,"usgs":false,"family":"Parker","given":"Beth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":750538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Green, Jeff A.","contributorId":210355,"corporation":false,"usgs":false,"family":"Green","given":"Jeff","email":"","middleInitial":"A.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":750539,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barry, John D.","contributorId":210356,"corporation":false,"usgs":false,"family":"Barry","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":750540,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750532,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}