{"pageNumber":"580","pageRowStart":"14475","pageSize":"25","recordCount":165309,"records":[{"id":70263322,"text":"70263322 - 2020 - Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks","interactions":[],"lastModifiedDate":"2025-02-06T15:31:57.444951","indexId":"70263322","displayToPublicDate":"2020-07-15T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks","docAbstract":"

1. Monitoring programs can benefit from an adaptive monitoring approach, where key decisions about why, where, what, and how to monitor are revisited periodically in order to ensure programmatic relevancy.

2. The National Park Service (NPS) monitors status and trends of Vital Signs to evaluate compliance with the NPS mission. Although abundant, The Southwest Alaska Network (SWAN) monitors bald eagles because of their inherent importance to park visitors and role as an important ecological indicator. Our goal is to identify an optimal monitoring program that may be standardized among participating parks.

3. We gathered an expert panel of scientists and managers, and implemented a Delphi Process to gather information about the bald eagle monitoring program. Panelists generated a list of means objectives for the monitoring program: minimizing cost, minimizing effort, maximizing the ability to detect change in bald eagle populations, and maximizing the amount of accurate information collected about bald eagles.

4. We used a swing-weighting technique to assign importance to each objective. Collecting accurate information about bald eagles was considered the most important means objective.

5. Combining panelist-generated information with objective importance, we analyzed the scenarios and defined the optimal decision using linear value modeling. Through our analysis, we found that a “Comprehensive” monitoring scenario, comprised of all feasible monitoring metrics is the optimal monitoring scenario. Even with greatly increased cost, the Comprehensive monitoring scenario remains the best solution.

6. We suggest further exploration of the cost and effort required for the Comprehensive scenario, to determine if it is in the parks’ best interest to begin monitoring additional metrics.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6499","usgsCitation":"Kolstrom, R., Wilson, T., and Gigliotti, L.M., 2020, Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks: Ecology and Evolution, v. 10, no. 15, p. 8114-8126, https://doi.org/10.1002/ece3.6499.","productDescription":"13 p.","startPage":"8114","endPage":"8126","ipdsId":"IP-111171","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6499","text":"Publisher Index Page"},{"id":481741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\":{\"name\":\"Alaska\",\"nation\":\"USA \"}}]}","volume":"10","issue":"15","noUsgsAuthors":false,"publicationDate":"2020-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kolstrom, Rebecca","contributorId":350554,"corporation":false,"usgs":false,"family":"Kolstrom","given":"Rebecca","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":926336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tammy L.","contributorId":350555,"corporation":false,"usgs":false,"family":"Wilson","given":"Tammy L.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":926337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":926335,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211090,"text":"ofr20201074 - 2020 - Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California","interactions":[],"lastModifiedDate":"2020-07-14T21:16:54.16432","indexId":"ofr20201074","displayToPublicDate":"2020-07-14T12:47:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1074","displayTitle":"Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California","title":"Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California","docAbstract":"

The greater San Francisco Bay estuary, prior to human intervention, encompassed about 2,200 km2 of tidal and salt marshes. Over time, these areas became increasingly diked, developed, and altered from their natural state. In addition, natural forces are always driving a continually shifting equilibrium.

This study area, the Corte Madera marshes, is a tidal marsh or wetland located in southeastern Marin County, and it borders an embayment of central San Francisco Bay along about 2.8 km of shoreline. Most of this shoreline is located within the Corte Madera Marsh Ecological Reserve, managed by the California Department of Fish and Wildlife. Other areas within the marsh include (1) unincorporated Greenbrae (at the boardwalk), (2) diked land (that is, isolated from tidal action) owned by the Golden Gate Bridge Highway and Transportation District, and (3) urbanized areas such as in the Mariner Cove subdivision of Corte Madera. The present tidal marsh area was historically subdivided into the following informally named tracts, listed from north to south: Heerdt marsh, north Muzzi marsh, inner and outer Muzzi marshes, Marta’s marsh, and Triangle marsh.

The purpose of this study is to derive the magnitudes and rates of shoreline change (both erosion and accretion) for the Corte Madera shoreline, with particular emphasis on the time period from 1931 to 2016. The rates of change are then related to different shoreline types (that is, natural or diked) and (or) locations on the shoreline.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201074","usgsCitation":"Carkin, Bradley A., Kayen, Robert E., and Wong, Florence L., 2020, Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California: U.S. Geological Survey Open-File Report 2020–1074, 36 p., 6 appendixes, https://doi.org/10.3133/ofr20201074.","productDescription":"vi, 36 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-105624","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":376367,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1074/covrthb.jpg"},{"id":376368,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1074/ofr20201074.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Corte Madera Marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.51970291137695,\n 37.92226366023669\n ],\n [\n -122.48828887939453,\n 37.92226366023669\n ],\n [\n -122.48828887939453,\n 37.95069515957716\n ],\n [\n -122.51970291137695,\n 37.95069515957716\n ],\n [\n -122.51970291137695,\n 37.92226366023669\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-07-14","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Carkin, Bradley A. bcarkin@usgs.gov","contributorId":3971,"corporation":false,"usgs":true,"family":"Carkin","given":"Bradley","email":"bcarkin@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":792752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":792753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211543,"text":"70211543 - 2020 - Monthly suspended-sediment apportionment for a western Lake Erie agricultural tributary","interactions":[],"lastModifiedDate":"2020-10-28T15:40:02.638141","indexId":"70211543","displayToPublicDate":"2020-07-14T10:09:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Monthly suspended-sediment apportionment for a western Lake Erie agricultural tributary","docAbstract":"Black Creek, a headwater to the Maumee River and western Lake Erie, is an agricultural basin with a mix of cropland (66%), pasture (19%), and forest (7%) linked by a road network to the rural community. Suspended sediment was collected monthly during the 2018 water year for the main stem and two sub-basins using in-situ, passive samplers that integrated a range of streamflow conditions. Sediment fingerprinting used 44 indicators to apportion samples among five sources: cropland, pasture, forest, road dirt, and streambanks. Cropland, pasture, and streambanks had similar ranges in sediment-bound phosphorus (679-1670 ppm). Cropland contributed 21 ± 15% (monthly mean ± standard deviation; 0-46% among individual months) of suspended sediment during the year. Fall and spring peaks in cropland contribution highlight the ongoing importance of on-field management, but this small contribution of suspended sediment relative to the expanse of cropland may reflect implementation of best-management practices. Pasture contributed 0-66% (16±19%) of suspended-sediment and roads 0-26% (6±6%). Streambanks contributed 12-100% (55±25%) and was the only source identified in all sediment samples. In this basin, most cropland-adjacent streambanks are protected by a riparian setback. However, streams traversing other land-use types are not as consistently protected, and these setbacks do not protect the stream channel from discharge of water from sump pumps, road culverts, or tile drains. The contribution of sediment from other land uses combined with that from the agricultural drainage network (as streambank material) underscores the need to consider water movement in the basin as a whole.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.011","usgsCitation":"Williamson, T.N., Dobrowolski, E.G., Gellis, A.C., Sabitov, T., and Gorman Sanisaca, L.E., 2020, Monthly suspended-sediment apportionment for a western Lake Erie agricultural tributary: Journal of Great Lakes Research, v. 46, no. 5, p. 1307-1320, https://doi.org/10.1016/j.jglr.2020.06.011.","productDescription":"14 p.","startPage":"1307","endPage":"1320","ipdsId":"IP-115721","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":456014,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.06.011","text":"Publisher Index Page"},{"id":436877,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EOEFOL","text":"USGS data release","linkHelpText":"Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples"},{"id":436876,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W28HF0","text":"USGS data release","linkHelpText":"Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Source samples"},{"id":376894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Black Creek basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.08636474609375,\n 41.06433922234843\n ],\n [\n -84.80003356933594,\n 41.06433922234843\n ],\n [\n -84.80003356933594,\n 41.268001205721035\n ],\n [\n -85.08636474609375,\n 41.268001205721035\n ],\n [\n -85.08636474609375,\n 41.06433922234843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabitov, Timur","contributorId":236885,"corporation":false,"usgs":false,"family":"Sabitov","given":"Timur","email":"","affiliations":[{"id":47559,"text":"Geology and Geophysics, Academy of Science of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":794579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":210381,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211288,"text":"70211288 - 2020 - Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio","interactions":[],"lastModifiedDate":"2020-07-22T15:10:17.124546","indexId":"70211288","displayToPublicDate":"2020-07-14T10:06:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio","docAbstract":"Cyanobacterial harmful algal blooms and the toxins they produce are a global water-quality problem. Monitoring and prediction tools are needed to quickly predict cyanotoxin action-level exceedances in recreational and drinking waters used by the public. To address this need, data were collected at eight locations in Ohio, USA, to identify factors significantly related to observed concentrations of microcystins (a freshwater cyanotoxin) that could be used in two types of site-specific regression models. Real-time models include easily- or continuously-measured factors that do not require that a sample be collected; comprehensive models use a combination of discrete sample-based measurements and real-time factors. The study sites included two recreational sites and six water treatment plant sites. Real-time models commonly included variables such as phycocyanin, pH, specific conductance, and streamflow or gage height. Many real-time factors were averages over time periods antecedent to the time the microcystin sample was collected, including water-quality data compiled from continuous monitors. Comprehensive models were useful at some sites with lagged variables for cyanobacterial toxin genes, dissolved nutrients, and (or) nitrogen to phosphorus ratios. Because models can be used for management decisions, important measures of model performance were sensitivity, specificity, and accuracy of estimates above or below the microcystin concentration threshold standard or action level. Sensitivity is how well the predictive tool correctly predicts exceedance of a threshold, an important measure for water-resource managers. Sensitivities >90% at four Lake Erie water treatment plants indicated that models with continuous monitor data were especially promising. The planned next steps are to collect more data to build larger site-specific datasets and validate models before they can be used for management decisions.","language":"English","publisher":"Springer","doi":"10.1007/s10661-020-08407-x","usgsCitation":"Francy, D.S., Brady, A.M., Stelzer, E., Cicale, J.R., Hackney, C.P., Dalby, H.D., Struffolino, P., and Dwyer, D.F., 2020, Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio: Environmental Monitoring and Assessment, v. 192, 513, 27 p., https://doi.org/10.1007/s10661-020-08407-x.","productDescription":"513, 27 p.","ipdsId":"IP-095890","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":456015,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-020-08407-x","text":"Publisher Index Page"},{"id":436878,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CDF76E","text":"USGS data release","linkHelpText":"Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio"},{"id":376635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.122314453125,\n 40.97160353279909\n ],\n [\n -82.24365234375,\n 40.97160353279909\n ],\n [\n -82.24365234375,\n 41.69752591075902\n ],\n [\n -84.122314453125,\n 41.69752591075902\n ],\n [\n -84.122314453125,\n 40.97160353279909\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.82617187499999,\n 39.73253798438173\n ],\n [\n -80.92529296875,\n 39.73253798438173\n ],\n [\n -80.92529296875,\n 40.772221877329024\n ],\n [\n -81.82617187499999,\n 40.772221877329024\n ],\n [\n -81.82617187499999,\n 39.73253798438173\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"192","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cicale, Jessica R. 0000-0002-0008-4051","orcid":"https://orcid.org/0000-0002-0008-4051","contributorId":208157,"corporation":false,"usgs":true,"family":"Cicale","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hackney, Courtney Paige 0000-0002-7018-9780","orcid":"https://orcid.org/0000-0002-7018-9780","contributorId":228840,"corporation":false,"usgs":true,"family":"Hackney","given":"Courtney","email":"","middleInitial":"Paige","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalby, Harrison D 0000-0001-6048-3217","orcid":"https://orcid.org/0000-0001-6048-3217","contributorId":228841,"corporation":false,"usgs":true,"family":"Dalby","given":"Harrison","email":"","middleInitial":"D","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Struffolino, Pamela 0000-0002-9065-3405","orcid":"https://orcid.org/0000-0002-9065-3405","contributorId":229549,"corporation":false,"usgs":false,"family":"Struffolino","given":"Pamela","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":793531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dwyer, Daryl F. 0000-0002-5033-0927","orcid":"https://orcid.org/0000-0002-5033-0927","contributorId":229550,"corporation":false,"usgs":false,"family":"Dwyer","given":"Daryl","email":"","middleInitial":"F.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":793532,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211171,"text":"70211171 - 2020 - Comparative phylogenomics reveal complex evolution of life history strategies in a clade of bivalves with parasitic larvae (Bivalvia: Unionoida: Ambleminae)","interactions":[],"lastModifiedDate":"2020-10-12T17:00:10.903457","indexId":"70211171","displayToPublicDate":"2020-07-14T10:04:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1242,"text":"Cladistics","active":true,"publicationSubtype":{"id":10}},"title":"Comparative phylogenomics reveal complex evolution of life history strategies in a clade of bivalves with parasitic larvae (Bivalvia: Unionoida: Ambleminae)","docAbstract":"

Freshwater mussels are a species‐rich group with biodiversity patterns strongly shaped by a life history strategy that includes an obligate parasitic larval stage. In this study, we set out to reconstruct the life history evolution and systematics in a clade of freshwater mussels adapted to parasitizing a molluscivorous host fish. Anchored hybrid enrichment and ancestral character reconstruction revealed a complex pattern of life history evolution with host switching and multiple instances of convergence, including reduction in size of larvae, increased fecundity, and growth during encapsulation. Our phylogenomic analyses also recovered non‐monophyly of taxa exhibiting multiple traits used as the basis for previous taxonomic hypotheses. Taxa with axe‐head shaped glochidia were resolved as paraphyletic, but our results strongly suggest the complex morphology is an adaptation to reduce larval size, with reduction in size further accentuated in taxa previously assigned to Leptodea. To more accurately reflect the evolutionary history of this group, we make multiple systematic changes, including the description of a new genus, Atlanticoncha gen. nov., and the synonymy of the genus Leptodea under Potamilus. Our findings contribute to the growing body of literature showing that cladistic hypotheses based solely on morphological characters, including larval morphology, can be flawed in freshwater mussels.

","language":"English","publisher":"Wiley","doi":"10.1111/cla.12423","usgsCitation":"Smith, C.H., Pfeiffer, J., and Johnson, N., 2020, Comparative phylogenomics reveal complex evolution of life history strategies in a clade of bivalves with parasitic larvae (Bivalvia: Unionoida: Ambleminae): Cladistics, v. 36, no. 5, p. 505-520, https://doi.org/10.1111/cla.12423.","productDescription":"16 p.","startPage":"505","endPage":"520","ipdsId":"IP-109973","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436879,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X3J54C","text":"USGS data release","linkHelpText":"Anchored hybrid enrichment in Potamilus mussels"},{"id":376426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":792929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, John M.","contributorId":202521,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":792930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792931,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211063,"text":"ds1127 - 2020 - Causes of land change in the U.S. Interior Highlands, 2001–2011","interactions":[],"lastModifiedDate":"2021-06-14T19:49:41.072561","indexId":"ds1127","displayToPublicDate":"2020-07-14T09:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1127","displayTitle":"Causes of Land Change in the U.S. Interior Highlands, 2001–2011","title":"Causes of land change in the U.S. Interior Highlands, 2001–2011","docAbstract":"

The causes of land change from 2001 through 2011 for the Interior Highlands region of the south-central United States were assessed using satellite imagery, historical land-use and land-cover data, and digital orthophotos. The study was designed to develop improved regional land-use and land-cover change information, including identification of the proximate causes of change. The four leading causes of land change involved various stages of forest change: harvest (376,497 hectares), reforestation (105,150 hectares), stand loss to fire (98,875 hectares), and thinning (54,029 hectares). The study provides baseline spatial data for understanding human and ecological dynamics in the region. The spatial data, including metadata, are available in the data release associated with this report at https://doi.org/10.5066/P9W4SF05.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1127","usgsCitation":"Drummond, M.A., Stier, M.P., McBeth, J.L., Auch, R.F., Taylor, J.L., and Riegle, J.L., 2020, Causes of land change in the U.S. Interior Highlands, 2001–2011: U.S. Geological Survey Data Series 1127, 4 p., https://doi.org/10.3133/ds1127.","productDescription":"Report: iii, 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-102515","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":376322,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1127/ds1127.pdf","text":"Report","size":"4.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1127"},{"id":376321,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1127/coverthb.jpg"},{"id":376325,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W4SF05","text":"USGS data release","linkHelpText":"Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals)"}],"country":"United States","state":"Missouri, Arkansas, Oklahoma, Kansas","otherGeospatial":"Interior Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.06445312499999,\n 34.21634468843465\n ],\n [\n -95.82275390624997,\n 33.943359946578795\n ],\n [\n -93.53759765624997,\n 33.596318961132674\n ],\n [\n -92.43896484374999,\n 33.943359946578795\n ],\n [\n -91.49414062499997,\n 34.77771580360472\n ],\n [\n -90.37353515624997,\n 36.65079252503471\n ],\n [\n -90.04394531249999,\n 37.92686760148132\n ],\n [\n -90.43945312499999,\n 38.11727165830543\n ],\n [\n -90.68115234374999,\n 39.11301365149972\n ],\n [\n -91.51611328124997,\n 39.4192207365595\n ],\n [\n -93.2080078125,\n 39.41922073655956\n ],\n [\n -93.47167968749999,\n 38.37611542403604\n ],\n [\n -95.07568359374997,\n 37.09023980307205\n ],\n [\n -96.02050781249999,\n 35.69299463209881\n ],\n [\n -96.96533203124999,\n 34.903952965590065\n ],\n [\n -96.81152343749997,\n 34.470335121217474\n ],\n [\n -96.06445312499999,\n 34.21634468843465\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2020-07-14","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stier, Michael P. 0000-0002-8518-9855 mpstier@usgs.gov","orcid":"https://orcid.org/0000-0002-8518-9855","contributorId":3121,"corporation":false,"usgs":true,"family":"Stier","given":"Michael","email":"mpstier@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBeth, Jamie L. 0000-0002-7688-7985 jlmcbeth@usgs.gov","orcid":"https://orcid.org/0000-0002-7688-7985","contributorId":1254,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","email":"jlmcbeth@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":792644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Janis L. 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":147371,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis","email":"jltaylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":792645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riegle, Jodi L. 0000-0001-8640-8952 jlriegle@usgs.gov","orcid":"https://orcid.org/0000-0001-8640-8952","contributorId":1789,"corporation":false,"usgs":true,"family":"Riegle","given":"Jodi","email":"jlriegle@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792646,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211257,"text":"70211257 - 2020 - Spatial proximity moderates genotype uncertainty in genetic tagging studies","interactions":[],"lastModifiedDate":"2020-08-04T14:28:28.360713","indexId":"70211257","displayToPublicDate":"2020-07-13T15:08:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial proximity moderates genotype uncertainty in genetic tagging studies","docAbstract":"

Accelerating declines of an increasing number of animal populations worldwide necessitate methods to reliably and efficiently estimate demographic parameters such as population density and trajectory. Standard methods for estimating demographic parameters from noninvasive genetic samples are inefficient because lower-quality samples cannot be used, and they assume individuals are identified without error. We introduce the genotype spatial partial identity model (gSPIM), which integrates a genetic classification model with a spatial population model to combine both spatial and genetic information, thus reducing genotype uncertainty and increasing the precision of demographic parameter estimates. We apply this model to data from a study of fishers (Pekania pennanti) in which 37% of hair samples were originally discarded because of uncertainty in individual identity. The gSPIM density estimate using all collected samples was 25% more precise than the original density estimate, and the model identified and corrected three errors in the original individual identity assignments. A simulation study demonstrated that our model increased the accuracy and precision of density estimates 63 and 42%, respectively, using three replicated assignments (e.g., PCRs for microsatellites) per genetic sample. Further, the simulations showed that the gSPIM model parameters are identifiable with only one replicated assignment per sample and that accuracy and precision are relatively insensitive to the number of replicated assignments for high-quality samples. Current genotyping protocols devote the majority of resources to replicating and confirming high-quality samples, but when using the gSPIM, genotyping protocols could be more efficient by devoting more resources to low-quality samples.

","language":"English","publisher":"United States National Academy of Sciences","doi":"10.1073/pnas.2000247117","usgsCitation":"Augustine, B., Royle, A., Linden, D., and Fuller, A.K., 2020, Spatial proximity moderates genotype uncertainty in genetic tagging studies: Proceedings of the National Academy of Sciences, v. 117, no. 30, p. 17903-17912, https://doi.org/10.1073/pnas.2000247117.","productDescription":"10 p.","startPage":"17903","endPage":"17912","ipdsId":"IP-114514","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2000247117","text":"Publisher Index Page"},{"id":376597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"30","noUsgsAuthors":false,"publicationDate":"2020-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Augustine, Ben C.","contributorId":229524,"corporation":false,"usgs":false,"family":"Augustine","given":"Ben C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":793443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":793444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":793445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K.","contributorId":229526,"corporation":false,"usgs":false,"family":"Fuller","given":"Angela","email":"","middleInitial":"K.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":793446,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222537,"text":"70222537 - 2020 - Time-evolving surface and subsurface signatures of Quaternary volcanism in the Cascades arc","interactions":[],"lastModifiedDate":"2021-08-03T12:24:29.313995","indexId":"70222537","displayToPublicDate":"2020-07-13T07:22:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Time-evolving surface and subsurface signatures of Quaternary volcanism in the Cascades arc","docAbstract":"

Increased resolution of data constraining topography and crustal structures provides new quantitative ways to assess province-scale surface-subsurface connections beneath volcanoes. We used a database of mapped vents to extract edifices with known epoch ages from digital elevation models (DEMs) in the Cascades arc (western North America), deriving volumes that likely represent ∼50% of total Quaternary eruptive output. Edifice volumes and spatial vent density correlate with diverse geophysical data that fingerprint magmatic influence in the upper crust. Variations in subsurface structures consistent with volcanism are common beneath Quaternary vents throughout the arc, but they are more strongly associated with younger vents. Geophysical magmatic signatures increase in the central and southern Cascade Range (Cascades), where eruptive output is largest and vents are closely spaced. Vents and correlated crustal structures, as well as temporal transitions in the degree of spatially localized versus distributed eruptions, define centers with lateral extents of ∼100 km throughout the arc, suggesting a time-evolving spatial focusing of magma ascent.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47706.1","usgsCitation":"O’Hara, D., Karlstrom, L., and Ramsey, D.W., 2020, Time-evolving surface and subsurface signatures of Quaternary volcanism in the Cascades arc: Geology, v. 48, no. 11, p. 1088-1093, https://doi.org/10.1130/G47706.1.","productDescription":"6 p.","startPage":"1088","endPage":"1093","ipdsId":"IP-113386","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g47706.1","text":"Publisher Index Page"},{"id":387646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascades arc","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.04687499999999,\n 40.17887331434696\n ],\n [\n -119.17968749999999,\n 40.17887331434696\n ],\n [\n -119.17968749999999,\n 49.1242192485914\n ],\n [\n -123.04687499999999,\n 49.1242192485914\n ],\n [\n -123.04687499999999,\n 40.17887331434696\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Hara, Daniel 0000-0002-1630-7985","orcid":"https://orcid.org/0000-0002-1630-7985","contributorId":261727,"corporation":false,"usgs":false,"family":"O’Hara","given":"Daniel","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":820496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Leif 0000-0002-2197-2349","orcid":"https://orcid.org/0000-0002-2197-2349","contributorId":261729,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":820497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211252,"text":"70211252 - 2020 - Robust age estimation of southern sea otters from multiple morphometrics","interactions":[],"lastModifiedDate":"2020-09-10T20:08:19.720219","indexId":"70211252","displayToPublicDate":"2020-07-12T14:29:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Robust age estimation of southern sea otters from multiple morphometrics","docAbstract":"

Reliable age estimation is an essential tool to assess the status of wildlife populations and inform successful management. Aging methods, however, are often limited by too few data, skewed demographic representation, and by single or uncertain morphometric relationships. In this study, we synthesize age estimates in southern sea otters Enhydra lutris nereis from 761 individuals across 34 years of study, using multiple noninvasive techniques and capturing all life stages from 0 to 17 years of age. From wild, stranded, and captive individuals, we describe tooth eruptions, tooth wear, body length, nose scarring, and pelage coloration across ontogeny and fit sex‐based growth functions to the data. Dental eruption schedules provided reliable and identifiable metrics spanning 0.3–9 months. Tooth wear was the most reliable predictor of age of individuals aged 1–15 years, which when combined with total length, explained >93% of observed age. Beyond age estimation, dental attrition also indicated the maximum lifespan of adult teeth is 13‒17 years, corresponding with previous estimates of life expectancy. Von Bertalanffy growth function model simulations of length at age gave consistent estimates of asymptotic lengths (male Loo = 126.0‒126.8 cm, female Loo = 115.3‒115.7 cm), biologically realistic gestation periods (t0 = 115 days, SD = 10.2), and somatic growth (male k = 1.8, SD = 0.1; female k = 2.1, SD = 0.1). Though exploratory, we describe how field radiographic imaging of epiphyseal plate development or fusions may improve aging of immature sea otters. Together, our results highlight the value of integrating information from multiple and diverse datasets to help resolve conservation problems.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6493","usgsCitation":"Nicholson, T.E., Mayer, K.A., Staedler, M.M., Gagne, T.O., Murray, M.J., Young, M.A., Tomoleoni, J.A., Tinker, M., and Van Houtan, K.S., 2020, Robust age estimation of southern sea otters from multiple morphometrics: Ecology and Evolution, v. 10, no. 16, p. 8592-8609, https://doi.org/10.1002/ece3.6493.","productDescription":"18 p.","startPage":"8592","endPage":"8609","ipdsId":"IP-119622","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":456026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6493","text":"Publisher Index Page"},{"id":376584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"16","noUsgsAuthors":false,"publicationDate":"2020-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Teri E.","contributorId":213741,"corporation":false,"usgs":false,"family":"Nicholson","given":"Teri","email":"","middleInitial":"E.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Karl A.","contributorId":203504,"corporation":false,"usgs":false,"family":"Mayer","given":"Karl","email":"","middleInitial":"A.","affiliations":[{"id":36639,"text":"University of Wisconsin Zoological Museum, 250 North Mills Street, Madison, WI 53706 (PMH) Sea Otter Research and Conservation Program, Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940","active":true,"usgs":false}],"preferred":false,"id":793419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staedler, Michelle M. 0000-0002-1101-6580","orcid":"https://orcid.org/0000-0002-1101-6580","contributorId":213742,"corporation":false,"usgs":false,"family":"Staedler","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gagne, Tyler O","contributorId":229513,"corporation":false,"usgs":false,"family":"Gagne","given":"Tyler","email":"","middleInitial":"O","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Michael J.","contributorId":206852,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37418,"text":"Monterey Bay Aquarium, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":793422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Marissa A","contributorId":229514,"corporation":false,"usgs":false,"family":"Young","given":"Marissa","email":"","middleInitial":"A","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":793424,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tinker, M. Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":221787,"corporation":false,"usgs":false,"family":"Tinker","given":"M. Tim","affiliations":[{"id":40428,"text":"University of California, Santa Cruz; former USGS PI","active":true,"usgs":false}],"preferred":false,"id":793425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Houtan, Kyle S.","contributorId":213743,"corporation":false,"usgs":false,"family":"Van Houtan","given":"Kyle","email":"","middleInitial":"S.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793426,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70213305,"text":"70213305 - 2020 - Possible control of acute outbreaks of a marine fungal pathogen by nominally herbivorous tropical reef fish","interactions":[],"lastModifiedDate":"2020-09-17T16:53:42.486872","indexId":"70213305","displayToPublicDate":"2020-07-12T11:53:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Possible control of acute outbreaks of a marine fungal pathogen by nominally herbivorous tropical reef fish","docAbstract":"

Primary producers in terrestrial and marine systems can be affected by fungal pathogens threatening the provision of critical ecosystem services. Crustose coralline algae (CCA) are ecologically important members of tropical reef systems and are impacted by coralline fungal disease (CFD) which manifests as overgrowth of the CCA crust by fungal lesions causing partial to complete mortality of the CCA host. No natural controls for CFD have been identified, but nominally herbivorous fish could play a role by consuming pathogenic fungi. We documented preferential grazing on fungal lesions by adults of six common reef-dwelling species of herbivorous Acanthuridae and Labridae, (surgeonfish and parrotfish) which collectively demonstrated an ~ 80-fold higher grazing rate on fungal lesions relative to their proportionate benthic coverage, and a preference for lesions over other palatable substrata (e.g. live scleractinian coral, CCA, or algae). Furthermore, we recorded a ~ 600% increase in live CFD lesion size over an approximately 2-week period when grazing by herbivorous fish was experimentally excluded suggesting that herbivorous reef fish could control CFD progression by directly reducing biomass of the fungal pathogen. Removal rates may be sufficient to allow CCA to recover from infection and explain historically observed natural waning behaviour after an outbreak. Thus, in addition to their well-known role as determinants of macroalgal overgrowth of reefs, herbivorous fish could thus also be important in control of diseases affecting crustose coralline algae that stabilize the foundation of coral reef substrata.

","language":"English","publisher":"Springer","doi":"10.1007/s00442-020-04697-7","usgsCitation":"Neal, B.P., Honish, B., Warrender, T., Williams, G.J., Work, T.M., and Price, N.N., 2020, Possible control of acute outbreaks of a marine fungal pathogen by nominally herbivorous tropical reef fish: Oecologia, v. 193, p. 603-617, https://doi.org/10.1007/s00442-020-04697-7.","productDescription":"15 p.","startPage":"603","endPage":"617","ipdsId":"IP-098709","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":456028,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00442-020-04697-7","text":"Publisher Index Page"},{"id":378517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Palmyra Atoll National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.1076488494873,\n 5.865866583882711\n ],\n [\n -162.04928398132324,\n 5.865866583882711\n ],\n [\n -162.04928398132324,\n 5.896090732511716\n ],\n [\n -162.1076488494873,\n 5.896090732511716\n ],\n [\n -162.1076488494873,\n 5.865866583882711\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"193","noUsgsAuthors":false,"publicationDate":"2020-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Neal, B. P.","contributorId":240825,"corporation":false,"usgs":false,"family":"Neal","given":"B.","email":"","middleInitial":"P.","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Honish, B.","contributorId":240826,"corporation":false,"usgs":false,"family":"Honish","given":"B.","email":"","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrender, T.","contributorId":240827,"corporation":false,"usgs":false,"family":"Warrender","given":"T.","email":"","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, G. J.","contributorId":240828,"corporation":false,"usgs":false,"family":"Williams","given":"G.","email":"","middleInitial":"J.","affiliations":[{"id":48144,"text":"Bangor University School of Ocean Sciences, Bangor University, Anglesey, UK","active":true,"usgs":false}],"preferred":false,"id":798991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":798992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, N. N.","contributorId":240829,"corporation":false,"usgs":false,"family":"Price","given":"N.","email":"","middleInitial":"N.","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798993,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217784,"text":"70217784 - 2020 - A century of intermittent eco‐evolutionary feedbacks resulted in novel trait combinations in invasive Great Lakes alewives (Alosa pseudoharengus)","interactions":[],"lastModifiedDate":"2021-02-02T12:55:00.187909","indexId":"70217784","displayToPublicDate":"2020-07-12T06:39:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"A century of intermittent eco‐evolutionary feedbacks resulted in novel trait combinations in invasive Great Lakes alewives (Alosa pseudoharengus)","docAbstract":"

Species introductions provide opportunities to quantify rates and patterns of evolutionary change in response to novel environments. Alewives (Alosa pseudoharengus) are native to the East Coast of North America where they ascend coastal rivers to spawn in lakes and then return to the ocean. Some populations have become landlocked within the last 350 years and diverged phenotypically from their ancestral marine population. More recently, alewives were introduced to the Laurentian Great Lakes (~150 years ago), but these populations have not been compared to East Coast anadromous and landlocked populations. We quantified 95 years of evolution in foraging traits and overall body shape of Great Lakes alewives and compared patterns of phenotypic evolution of Great Lakes alewives to East Coast anadromous and landlocked populations. Our results suggest that gill raker spacing in Great Lakes alewives has evolved in a dynamic pattern that is consistent with responses to strong but intermittent eco‐evolutionary feedbacks with zooplankton size. Following their initial colonization of Lakes Ontario and Michigan, dense alewife populations likely depleted large‐bodied zooplankton, which drove a decrease in alewife gill raker spacing. However, the introduction of large, non‐native zooplankton to the Great Lakes in later decades resulted in an increase in gill raker spacing, and present‐day Great Lakes alewives have gill raker spacing patterns that are similar to the ancestral East Coast anadromous population. Conversely, contemporary Great Lakes alewife populations possess a gape width consistent with East Coast landlocked populations. Body shape showed remarkable parallel evolution with East Coast landlocked populations, likely due to a shared response to the loss of long‐distance movement or migrations. Our results suggest the colonization of a new environment and cessation of migration can result in rapid parallel evolution in some traits, but contingency also plays a role, and a dynamic ecosystem can also yield novel trait combinations.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.13063","usgsCitation":"Smith, S., Palkovacs, E., Weidel, B., Bunnell, D., Jones, A.W., and Bloom, D., 2020, A century of intermittent eco‐evolutionary feedbacks resulted in novel trait combinations in invasive Great Lakes alewives (Alosa pseudoharengus): Evolutionary Applications, v. 13, no. 10, p. 2630-2645, https://doi.org/10.1111/eva.13063.","productDescription":"16 p.","startPage":"2630","endPage":"2645","ipdsId":"IP-116073","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":456029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.13063","text":"Publisher Index Page"},{"id":382867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n 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Institution","active":true,"usgs":false}],"preferred":false,"id":809644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bloom, Devin 0000-0002-5799-5796","orcid":"https://orcid.org/0000-0002-5799-5796","contributorId":248704,"corporation":false,"usgs":false,"family":"Bloom","given":"Devin","email":"","affiliations":[{"id":49983,"text":"Western Michigan","active":true,"usgs":false}],"preferred":false,"id":809645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221898,"text":"70221898 - 2020 - Applications of knowledge and predictions of atmospheric rivers","interactions":[],"lastModifiedDate":"2021-07-13T23:17:40.254869","indexId":"70221898","displayToPublicDate":"2020-07-11T18:01:36","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Applications of knowledge and predictions of atmospheric rivers","docAbstract":"

This chapter reviews how AR research is being applied in real-world situations to address issues of flood planning and emergency intervention. It includes water supply management case studies. Examples comprise five distinct sections that show how AR research is being directly applied to the challenges that water managers, dam operators, crisis-management engineers such as USACE, National Weather Service (NWS) personnel, the media, and others face. These topics include how decision-makers on the ground must iteratively alternate between forecasts and their own field observations, especially in unfolding emergency-response conditions, and the trade-offs necessitated between acting on competing priorities such as flood-risk management and water supply management. Ultimately, almost all AR studies have the potential to directly benefit the public’s need for ongoing water supply as well as for accurate weather forecasts and deployable emergency protocols for natural hazards that necessitate municipal, state, and federal government personnel to collaborate.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Atmospheric rivers","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-28906-5_7","usgsCitation":"Lawrence, S., Anderson, M., Ralph, F., Dettinger, M.D., Lavers, D.A., Pappenberger, F., Richardson, D., and Zsoter, E., 2020, Applications of knowledge and predictions of atmospheric rivers, chap. of Atmospheric rivers, p. 201-218, https://doi.org/10.1007/978-3-030-28906-5_7.","productDescription":"18 p.","startPage":"201","endPage":"218","ipdsId":"IP-108499","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":387168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-07-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Ralph, F Martin","contributorId":261106,"corporation":false,"usgs":false,"family":"Ralph","given":"F Martin","affiliations":[{"id":39679,"text":"Scripps Institution of Oceanography, UCSD","active":true,"usgs":false}],"preferred":false,"id":819266,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","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},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":819267,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":819268,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Waliser, Duane E.","contributorId":167848,"corporation":false,"usgs":false,"family":"Waliser","given":"Duane","email":"","middleInitial":"E.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":819269,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Lawrence, Schick","contributorId":261105,"corporation":false,"usgs":false,"family":"Lawrence","given":"Schick","email":"","affiliations":[{"id":52736,"text":"USACE (retired)","active":true,"usgs":false}],"preferred":false,"id":819255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Michael","contributorId":148971,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","affiliations":[],"preferred":false,"id":819256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ralph, F Martin","contributorId":261106,"corporation":false,"usgs":false,"family":"Ralph","given":"F Martin","affiliations":[{"id":39679,"text":"Scripps Institution of Oceanography, UCSD","active":true,"usgs":false}],"preferred":false,"id":819257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":819258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lavers, David A.","contributorId":167847,"corporation":false,"usgs":false,"family":"Lavers","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":819259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pappenberger, Florian","contributorId":261107,"corporation":false,"usgs":false,"family":"Pappenberger","given":"Florian","email":"","affiliations":[{"id":52737,"text":"European Centre for Medium-Range Weather Forecasts","active":true,"usgs":false}],"preferred":false,"id":819263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, David ","contributorId":223903,"corporation":false,"usgs":false,"family":"Richardson","given":"David ","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":819264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zsoter, Ervin","contributorId":261108,"corporation":false,"usgs":false,"family":"Zsoter","given":"Ervin","email":"","affiliations":[{"id":52737,"text":"European Centre for Medium-Range Weather Forecasts","active":true,"usgs":false}],"preferred":false,"id":819265,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211255,"text":"70211255 - 2020 - Robust geographical determinants of infection prevalence and a contrasting latitudinal diversity gradient for haemosporidian parasites in Western Palearctic birds","interactions":[],"lastModifiedDate":"2020-09-10T20:06:07.309391","indexId":"70211255","displayToPublicDate":"2020-07-11T15:18:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Robust geographical determinants of infection prevalence and a contrasting latitudinal diversity gradient for haemosporidian parasites in Western Palearctic birds","docAbstract":"

Identifying robust environmental predictors of infection probability is central to forecasting and mitigating the ongoing impacts of climate change on vector‐borne disease threats. We applied phylogenetic hierarchical models to a data set of 2,171 Western Palearctic individual birds from 47 species to determine how climate and landscape variation influence infection probability for three genera of haemosporidian blood parasites (Haemoproteus, Leucocytozoon, and Plasmodium). Our comparative models found compelling evidence that birds in areas with higher vegetation density (captured by the normalized difference vegetation index [NDVI]) had higher likelihoods of carrying parasite infection. Magnitudes of this relationship were remarkably similar across parasite genera considering that these parasites use different arthropod vectors and are widely presumed to be epidemiologically distinct. However, we also uncovered key differences among genera that highlighted complexities in their climate responses. In particular, prevalences of Haemoproteus and Plasmodium showed strong but contrasting relationships with winter temperatures, supporting mounting evidence that winter warming is a key environmental filter impacting the dynamics of host‐parasite interactions. Parasite phylogenetic community diversities demonstrated a clear but contrasting latitudinal gradient, with Haemoproteus diversity increasing towards the equator and Leucocytozoon diversity increasing towards the poles. Haemoproteus diversity also increased in regions with higher vegetation density, supporting our evidence that summer vegetation density is important for structuring the distributions of these parasites. Ongoing variation in winter temperatures and vegetation characteristics will probably have far‐reaching consequences for the transmission and spread of vector‐borne diseases.

","language":"English","publisher":"Wiley","doi":"10.1111/mec.15545","usgsCitation":"Clark, N.J., Drovetski, S.V., and Voelker, G., 2020, Robust geographical determinants of infection prevalence and a contrasting latitudinal diversity gradient for haemosporidian parasites in Western Palearctic birds: Molecular Ecology, v. 29, no. 16, p. 3131-3143, https://doi.org/10.1111/mec.15545.","productDescription":"13 p.","startPage":"3131","endPage":"3143","ipdsId":"IP-116693","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":376602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"16","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Nicholas J.","contributorId":204867,"corporation":false,"usgs":false,"family":"Clark","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":16755,"text":"University of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":793434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":793435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":793436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211251,"text":"70211251 - 2020 - RestoreNet: An emerging restoration network reveals controls on seeding success across dryland ecosystems","interactions":[],"lastModifiedDate":"2020-11-16T12:53:02.939962","indexId":"70211251","displayToPublicDate":"2020-07-11T14:04:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"RestoreNet: An emerging restoration network reveals controls on seeding success across dryland ecosystems","docAbstract":"
  1. Drylands are Earth's largest terrestrial biome and support one‐third of the global population. However, they are also highly vulnerable to land degradation. Despite widespread demand for dryland restoration and rehabilitation, little information is available to help land managers effectively re‐establish native perennial vegetation across drylands.
  2. RestoreNet is an emerging dryland restoration network that systematically tests revegetation techniques across environmental gradients. Using the RestoreNet experimental framework, we tested the effectiveness of restoration treatments (i.e. ConMod nurse plant structures, mulch, pits) that increase soil moisture and seed mixes with different climatic niches to achieve revegetation goals.
  3. Across sites, seedling recruitment was consistently influenced by treatment and seed mix type. Pit and mulch treatments increased total seedling density, with pits promoting the highest seeded species recruitment while limiting non‐native species establishment. Seeding increased total seedling density regardless of seed mix type, but cooler‐adapted seed mixes promoted greater seeded species density and resulted in lower density of unseeded (non‐native) species relative to warmer‐adapted mixes.
  4. Seedling recruitment was also controlled by the temporal and environmental context of restoration with the positive effect of high precipitation greatest in the weeks immediately following seeding. Above‐average precipitation during the study period across most of the sites may partially explain why the highest seeded species recruitment occurred in pit treatments and seed mixes with cooler, wetter niche requirements.
  5. Synthesis and applications. Results from the dryland restoration network, RestoreNet help to better understand variation in seeding and restoration treatment success across space and time in drylands. Relationships between restoration practices and environmental conditions in our study suggest the importance of anticipatory restoration strategies that forecast seasonal and sub‐seasonal weather conditions and select plant species with climate niche requirements appropriate for current and future climate conditions. This information is critical to land managers tasked with improving ecosystem conditions across degraded dryland regions.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13715","usgsCitation":"Havrilla, C.A., Munson, S.M., McCormick, M.L., Laushman, K.M., Balazs, K.R., and Butterfield, B.J., 2020, RestoreNet: An emerging restoration network reveals controls on seeding success across dryland ecosystems: Journal of Applied Ecology, v. 57, no. 11, p. 2191-2202, https://doi.org/10.1111/1365-2664.13715.","productDescription":"12","startPage":"2191","endPage":"2202","ipdsId":"IP-114674","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":456034,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13715","text":"Publisher Index Page"},{"id":436880,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LW1F9R","text":"USGS data release","linkHelpText":"RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA"},{"id":376576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Drylands of the Southwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.587890625,\n 36.80928470205937\n ],\n [\n -112.5,\n 35.88905007936091\n ],\n [\n -111.97265625,\n 34.813803317113155\n ],\n [\n -109.77539062499999,\n 34.161818161230386\n ],\n [\n -109.072265625,\n 34.08906131584994\n ],\n [\n -109.1162109375,\n 36.94989178681327\n ],\n [\n -112.587890625,\n 36.98500309285596\n ],\n [\n -112.587890625,\n 36.80928470205937\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Havrilla, Caroline Ann 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":228882,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"Ann","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Molly L. 0000-0002-4361-7567 mmccormick@usgs.gov","orcid":"https://orcid.org/0000-0002-4361-7567","contributorId":196257,"corporation":false,"usgs":true,"family":"McCormick","given":"Molly","email":"mmccormick@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laushman, Katherine M. 0000-0002-4333-6386","orcid":"https://orcid.org/0000-0002-4333-6386","contributorId":229512,"corporation":false,"usgs":true,"family":"Laushman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balazs, Kathleen R.","contributorId":223214,"corporation":false,"usgs":false,"family":"Balazs","given":"Kathleen","email":"","middleInitial":"R.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":793416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":793417,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217344,"text":"70217344 - 2020 - Degradation of RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass), and intertidal marsh","interactions":[],"lastModifiedDate":"2021-01-18T18:16:13.652435","indexId":"70217344","displayToPublicDate":"2020-07-11T12:03:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Degradation of RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass), and intertidal marsh","docAbstract":"

Hundreds of explosive-contaminated marine sites exist globally, many of which contain the common munitions constituent hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX). Quantitative information about RDX transformation in coastal ecosystems is essential for management of many of these sites. Isotopically labelled RDX containing 15N in all 3 nitro groups was used to track the fate of RDX in three coastal ecosystem types. Flow-through mesocosms representing subtidal vegetated (silt/eel grass), subtidal non-vegetated (sand) and intertidal marsh ecosystems were continuously loaded with isotopically labelled RDX for 16–17 days. Sediment, pore-water and overlying surface water were analyzed to determine the distribution of RDX, nitroso-triazine transformation products (NXs) and nitrogen containing complete mineralization products, including ammonium, nitrate+nitrite, nitrous oxide and nitrogen gas. The marsh, silt, and sand ecotypes transformed 94%, 90% and 76% of supplied RDX, respectively. Total dissolved NXs accounted for 2%–4% of the transformed 15N-RDX. The majority of RDX transformation in the water column was by mineralization to inorganic N (dissolved and evaded; 64%–78% of transformed 15N-RDX). RDX was mineralized primarily to N2O (62–74% of transformed 15N-RDX) and secondarily to N2 (1–2% of transformed 15N-RDX) which exchanged with the atmosphere. Transformation of RDX was favored in carbon-rich lower redox potential sediments of the silt and marsh mesocosms where anaerobic processes of iron and sulfate reduction were most prevalent. RDX was most persistent in the carbon-poor sand mesocosm. Partitioning of 15N derived from RDX onto sediment and suspended particulates was negligible in the overall mass balance of RDX transformation (2%–3% of transformed 15N-RDX). The fraction of 15N derived from RDX that was sorbed or assimilated in sediment was largest in the marsh mesocosm (most organic carbon), and smallest in the sand mesocosm (largest grain size and least organic carbon). Sediment redox conditions and available organic carbon stores affect the fate of RDX in different coastal marine habitats.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.140800","usgsCitation":"Ariyarathna, T., Ballentine, M., Vlahos, P., Smith, R.W., Cooper, C., Bohlke, J., Fallis, S., Groshens, T.J., and Tobias, C., 2020, Degradation of RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass), and intertidal marsh: Science of the Total Environment, v. 745, 140800, 12 p., https://doi.org/10.1016/j.scitotenv.2020.140800.","productDescription":"140800, 12 p.","ipdsId":"IP-114909","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.140800","text":"Publisher Index Page"},{"id":382284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.66357421875,\n 40.96952973563832\n ],\n [\n -72.2186279296875,\n 41.16211393939692\n ],\n [\n -72.0758056640625,\n 41.31082388091818\n ],\n [\n -72.35595703125,\n 41.32938883149378\n ],\n [\n -72.9327392578125,\n 41.288126204331704\n ],\n [\n -73.2183837890625,\n 41.166249339092\n ],\n [\n -73.56994628906249,\n 41.04621681452063\n ],\n [\n -73.85833740234374,\n 40.863679665481676\n ],\n [\n -73.86932373046875,\n 40.78054143186033\n ],\n [\n -73.65234375,\n 40.826280356677124\n ],\n [\n -73.399658203125,\n 40.865756786006806\n ],\n [\n -73.1524658203125,\n 40.901057866884024\n ],\n [\n -73.092041015625,\n 40.94671366508002\n ],\n [\n -72.79541015625,\n 40.944639085793064\n ],\n [\n -72.66357421875,\n 40.96952973563832\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"745","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ariyarathna, Thivanka","contributorId":191278,"corporation":false,"usgs":false,"family":"Ariyarathna","given":"Thivanka","email":"","affiliations":[],"preferred":false,"id":808430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballentine, Mark","contributorId":191279,"corporation":false,"usgs":false,"family":"Ballentine","given":"Mark","email":"","affiliations":[],"preferred":false,"id":808431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":808432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard W.","contributorId":191276,"corporation":false,"usgs":false,"family":"Smith","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":808433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, Christopher","contributorId":191280,"corporation":false,"usgs":false,"family":"Cooper","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":808434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":808435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fallis, Stephen","contributorId":191281,"corporation":false,"usgs":false,"family":"Fallis","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":808436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groshens, Thomas J.","contributorId":191282,"corporation":false,"usgs":false,"family":"Groshens","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":808437,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":808438,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70214485,"text":"70214485 - 2020 - Hydrologic signals and surprises in U.S. streamflow records during urbanization","interactions":[],"lastModifiedDate":"2020-09-28T14:17:38.874799","indexId":"70214485","displayToPublicDate":"2020-07-11T09:09:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic signals and surprises in U.S. streamflow records during urbanization","docAbstract":"

Urban development has been observed to lead to variable magnitudes of change for stormflow volume and directions of baseflow change across cities. This work examines temporal streamflow trends across the flow duration curve in 53 watersheds during periods of peak urban development, which ranged from 1939 to 2016. We used U.S. Geological Survey streamgage records combined with pre‐development and urbanization characteristics to identify 20 years for analysis in each urbanizing watershed. Each urbanizing gage was paired with a nearby reference gage representing climatic trends over the same time period. Results indicated that urbanization, as measured by housing density, did not homogeneously alter the flow duration curve. Urbanization led to widely variable trends in low flow, where half of the urbanizing gages had increasing flow at the 10th non‐exceedance percentile, and the other half had declining low flow. High flows generally increased in streams as the area urbanized. The largest increases in high flows were in streams in semi‐arid and arid areas. The largest urban flow changes had transformations in wastewater infrastructure, water supply infrastructure, and flood control facilities. Isolating flow changes due to urbanization from those of reference sites will serve to better identify and manage synergistic effects of urban development and climate change on flooding and water availability.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR027039","usgsCitation":"Bhaskar, A.S., Hopkins, K.G., Smith, B.K., Stephens, T.A., and Miller, A.J., 2020, Hydrologic signals and surprises in U.S. streamflow records during urbanization: Water Resources Research, v. 56, no. 9, e2019WR027039, 22 p., https://doi.org/10.1029/2019WR027039.","productDescription":"e2019WR027039, 22 p.","ipdsId":"IP-104546","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":501007,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/42088","text":"External Repository"},{"id":378805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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]\n}","volume":"56","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":799703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brianne K 0000-0003-1314-9536","orcid":"https://orcid.org/0000-0003-1314-9536","contributorId":241609,"corporation":false,"usgs":false,"family":"Smith","given":"Brianne","email":"","middleInitial":"K","affiliations":[{"id":48362,"text":"Brooklyn College of the City University of New York","active":true,"usgs":false}],"preferred":false,"id":799705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, Tim A 0000-0002-2865-1820","orcid":"https://orcid.org/0000-0002-2865-1820","contributorId":241610,"corporation":false,"usgs":false,"family":"Stephens","given":"Tim","email":"","middleInitial":"A","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":799706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Andy J 0000-0002-0137-4093","orcid":"https://orcid.org/0000-0002-0137-4093","contributorId":241611,"corporation":false,"usgs":false,"family":"Miller","given":"Andy","email":"","middleInitial":"J","affiliations":[{"id":38069,"text":"University of Maryland, Baltimore County","active":true,"usgs":false}],"preferred":false,"id":799707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217759,"text":"70217759 - 2020 - Gut contents from multiple morphs of lake trout (Salvelinus namaycush) at two offshore shoals in Lake Superior","interactions":[],"lastModifiedDate":"2021-02-02T13:23:41.997749","indexId":"70217759","displayToPublicDate":"2020-07-11T07:19:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Gut contents from multiple morphs of lake trout (Salvelinus namaycush) at two offshore shoals in Lake Superior","docAbstract":"

Four lake trout, Salvelinus namaycush, Walbaum 1792 morphs occur in Lake Superior: lean, siscowet, humper, and redfin. Diets of lean and siscowet have been relatively well described. However, less is known about diets of humper and redfin, and overall few studies have been conducted at offshore shoals. We compared gut content data among mature (357–867 mm) sympatric lake trout morphs caught at two offshore shoals in Lake Superior, Stannard Rock and Superior Shoal, in 2013 and 2014 (total n = 416). All morphs were caught in shallow (<50 m), mid (50–100 m), and deep (>100 m) strata. Invertebrates made up a greater portion of the stomach contents than did fish for all morphs by both percent occurrence and proportional biomass, and Mysis was the primary invertebrate consumed by all morphs at both sites. Coregonus spp. and deepwater sculpin, Myoxocephalus thompsonii were the most commonly consumed fish. Humper had the highest average proportional biomass of deepwater sculpin and had no other identifiable species of fish in their guts. Biomass of fish in redfin guts was highest for Coregonus spp., followed by similar amounts of deepwater sculpin and burbot, Lota lota. Diet overlap among morphs was high, and differences in prey consumption between sites are likely related to prey availability. Additional study is needed to determine if differences in trophic ecology between humper and other morphs are sufficient to support concurrent stocking of multiple morphs, particularly in light of recent declines in native prey fishes, especially Coregonus spp., in the Laurentian Great Lakes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.020","usgsCitation":"Vinson, M., Hoffmann, J., Muir, A.M., Rosinski, C.L., Krueger, C.C., Bronte, C., Hansen, M., Sitar, S.P., W., A.E., Baker, L., and Swanson, H., 2020, Gut contents from multiple morphs of lake trout (Salvelinus namaycush) at two offshore shoals in Lake Superior: Journal of Great Lakes Research, v. 46, no. 5, p. 1382-1390, https://doi.org/10.1016/j.jglr.2020.06.020.","productDescription":"9 p.","startPage":"1382","endPage":"1390","ipdsId":"IP-118198","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":382872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.50561523437499,\n 47.65058757118734\n ],\n [\n -88.253173828125,\n 47.65058757118734\n ],\n [\n -88.253173828125,\n 48.268569112964336\n ],\n [\n -89.50561523437499,\n 48.268569112964336\n ],\n [\n -89.50561523437499,\n 47.65058757118734\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.506103515625,\n 47.79839667295524\n ],\n [\n -86.46240234375,\n 47.79839667295524\n ],\n [\n -86.46240234375,\n 48.378145469762444\n ],\n [\n -87.506103515625,\n 48.378145469762444\n ],\n [\n -87.506103515625,\n 47.79839667295524\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.451171875,\n 46.99524110694593\n ],\n [\n -86.561279296875,\n 46.99524110694593\n ],\n [\n -86.561279296875,\n 47.502358951968574\n ],\n [\n -87.451171875,\n 47.502358951968574\n ],\n [\n -87.451171875,\n 46.99524110694593\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffmann, John P.","contributorId":207031,"corporation":false,"usgs":false,"family":"Hoffmann","given":"John P.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":809546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muir, A. M.","contributorId":248615,"corporation":false,"usgs":false,"family":"Muir","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":809547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosinski, Caroline Lynn 0000-0003-3635-2748","orcid":"https://orcid.org/0000-0003-3635-2748","contributorId":248618,"corporation":false,"usgs":true,"family":"Rosinski","given":"Caroline","email":"","middleInitial":"Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krueger, C. C.","contributorId":248621,"corporation":false,"usgs":false,"family":"Krueger","given":"C.","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":809549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bronte, C.R.","contributorId":248624,"corporation":false,"usgs":false,"family":"Bronte","given":"C.R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":809550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hansen, M.J.","contributorId":248626,"corporation":false,"usgs":false,"family":"Hansen","given":"M.J.","affiliations":[],"preferred":false,"id":809551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sitar, S. P.","contributorId":248505,"corporation":false,"usgs":false,"family":"Sitar","given":"S.","email":"","middleInitial":"P.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":809552,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"W., Allen E.","contributorId":248630,"corporation":false,"usgs":false,"family":"W.","given":"Allen","email":"","middleInitial":"E.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":809553,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baker, L.F.","contributorId":248633,"corporation":false,"usgs":false,"family":"Baker","given":"L.F.","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":809554,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swanson, H.","contributorId":152186,"corporation":false,"usgs":false,"family":"Swanson","given":"H.","email":"","affiliations":[],"preferred":false,"id":809555,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70212852,"text":"70212852 - 2020 - Direct and indirect effects of fire on eastern box turtles","interactions":[],"lastModifiedDate":"2020-09-02T01:24:45.73454","indexId":"70212852","displayToPublicDate":"2020-07-10T20:21:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Direct and indirect effects of fire on eastern box turtles","docAbstract":"

Prescribed fire is an increasingly important management tool for eastern deciduous forests, but relativity little is known about the direct effects of fire on the eastern box turtle (Terrapene carolina carolina). We used very high frequency (VHF) transmitters to monitor mortality, movement, and spatial ecology of 118 box turtles in response to 17 prescribed fires across 4 seasons and 3 sites in east Tennessee, USA, during 2016–2018. Annual survival of box turtles that experienced a prescribed fire event was lower (0.87 ± 0.04 [SE]) than turtles that did not (0.98 ± 0.01) and was negatively correlated with fire intensity, fire temperature the turtle experienced, and litter depth. All prescribed fire‐related mortalities occurred during the early (Apr–May, n = 5) or late growing season (Sep–Oct, n = 1). Fourteen percent of box turtles we captured exhibited damage to their carapace from previous fire events. Box turtles that survived prescribed fires were in microsites that did not burn, moved to unburned areas during the fire, or burrowed following ignition. Home range size was similar before and after burns and sinuosity of movements did not differ in burned or unburned areas. Our results indicate that though box turtles are susceptible to prescribed fire during their active season, they have behavioral and physical traits that reduce the direct effects of prescribed fire. Prescribed fire practitioners should be aware of the risks of fire, particularly during the active season. We suggest managers consider altering prescribed fire intensity, seasonality, and firing pattern to minimize risk of direct effects where box turtles are of concern. 

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21920","usgsCitation":"Harris, K., Clark, J.D., Elmore, R., and Harper, C., 2020, Direct and indirect effects of fire on eastern box turtles: Journal of Wildlife Management, v. 84, no. 7, p. 1384-1395, https://doi.org/10.1002/jwmg.21920.","productDescription":"12 p.","startPage":"1384","endPage":"1395","ipdsId":"IP-112317","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":378087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.6494140625,\n 35.10193405724606\n ],\n [\n -81.9580078125,\n 35.10193405724606\n ],\n [\n -81.9580078125,\n 36.66841891894786\n ],\n [\n -85.6494140625,\n 36.66841891894786\n ],\n [\n -85.6494140625,\n 35.10193405724606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, K.","contributorId":222765,"corporation":false,"usgs":false,"family":"Harris","given":"K.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":797709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":797711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elmore, R.","contributorId":239700,"corporation":false,"usgs":false,"family":"Elmore","given":"R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":797712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harper, C.A.","contributorId":239699,"corporation":false,"usgs":false,"family":"Harper","given":"C.A.","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":797710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211226,"text":"70211226 - 2020 - Brackish tidal marsh management and the ecology of a declining freshwater turtle","interactions":[],"lastModifiedDate":"2020-10-12T17:01:52.38416","indexId":"70211226","displayToPublicDate":"2020-07-10T15:26:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Brackish tidal marsh management and the ecology of a declining freshwater turtle","docAbstract":"

Water management practices in tidal marshes of the San Francisco Bay Estuary, California are often aimed at increasing suitable habitat for threatened fish species and sport fishes. However, little is known about how best to manage habitat for other sensitive status species like the semiaquatic freshwater Western Pond Turtle (Actinemys marmorata) that is declining throughout much of its range. Here, we examined the basking activity, abundance, survival, and growth of Western Pond Turtles at two brackish water study sites in Suisun Marsh, California that differed in how they were managed, with one having passive management (i.e., no active water regulation) and another having active management (i.e., water regulated for seasonal hunting). Our results revealed that basking activity was greatest when salinity, water stage, and air temperatures were low, shortwave radiation was high, and wind levels were intermediate. These preferred habitat characteristics often reflected conditions that were naturally maintained at the passively managed, muted tidal site. We also found that turtles were more abundant and had higher survival rates in the passively managed habitat compared to the actively managed habitat (201-323 turtles/km2 and 96% survival versus 11-135 turtles/km2 and 77% survival, respectively). Finally, characteristic growth constants from von Bertalanffy models showed that turtles grew more quickly in passively managed habitat compared to the actively managed habitat. Our results suggest that management strategies for this sensitive status species may be more effective if they protect passively managed muted tidal systems that limit or delay extreme cycles of salinity and water levels and conserve elevated terrestrial buffer zones adjacent to muted and full tidal systems.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-020-01326-0","usgsCitation":"Agha, M., Yackulic, C., Riley, M.K., Peterson, B., and Todd, B.D., 2020, Brackish tidal marsh management and the ecology of a declining freshwater turtle: Environmental Management, v. 66, p. 644-653, https://doi.org/10.1007/s00267-020-01326-0.","productDescription":"10 p.","startPage":"644","endPage":"653","ipdsId":"IP-108939","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":376527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay Estuary, Suisun Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.12059020996094,\n 38.10052299089303\n ],\n [\n -121.93656921386719,\n 38.10052299089303\n ],\n [\n -121.93656921386719,\n 38.25004423627535\n ],\n [\n -122.12059020996094,\n 38.25004423627535\n ],\n [\n -122.12059020996094,\n 38.10052299089303\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":793272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Melissa K.","contributorId":207841,"corporation":false,"usgs":false,"family":"Riley","given":"Melissa","email":"","middleInitial":"K.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":793352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Blair","contributorId":229496,"corporation":false,"usgs":false,"family":"Peterson","given":"Blair","email":"","affiliations":[],"preferred":false,"id":793350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Todd, Brian D","contributorId":167777,"corporation":false,"usgs":false,"family":"Todd","given":"Brian","email":"","middleInitial":"D","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":793351,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211178,"text":"70211178 - 2020 - Seismic stratigraphic framework of the continental shelf offshore Delmarva, U.S.A.: Implications for Mid-Atlantic Bight evolution since the Pliocene","interactions":[],"lastModifiedDate":"2020-07-16T17:21:30.337689","indexId":"70211178","displayToPublicDate":"2020-07-10T12:16:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Seismic stratigraphic framework of the continental shelf offshore Delmarva, U.S.A.: Implications for Mid-Atlantic Bight evolution since the Pliocene","docAbstract":"

Understanding how past coastal systems have evolved is critical to predicting future coastal change. Using over 12,000 trackline kilometers of recently collected, co-located multi-channel boomer, sparker and chirp seismic reflection profile data integrated with previously collected borehole and vibracore data, we define the upper (< 115 m below mean lower low water) seismic stratigraphic framework offshore of the Delmarva Peninsula, USA. Twelve seismic units and 11 regionally extensive unconformities (U1-U11) were mapped over 5900 km2 of North America's Mid-Atlantic continental shelf. We interpret U3, U7, U9, U11 as transgressive ravinement surfaces, while U1,2,4,5,6,8,10 are subaerial unconformities illustrating distinct periods of lower sea-level. Based on areal distribution, stratigraphic relationships and dating results (Carbon 14 and amino acid racemization estimates) from earlier vibracore and borehole studies, we interpret the infilled channels as late Neogene and Quaternary courses of the Susquehanna, Potomac, Rappahannock, York, James rivers and tributaries, and a broad flood plain. These findings indicate that the region's geologic framework is more complex than previously thought and that Pleistocene paleochannels are abundant in the Mid-Atlantic. This study synthesizes and correlates the findings of other Atlantic Margin studies and establishes a large-scale Quaternary framework that enables more detailed stratigraphic analysis in the future. Such work has implications for inner continental shelf systems tract evolution, the relationship between antecedent geology and modern coastal systems, assessments of eustacy, glacial isostatic adjustment, and other processes and forcings that play a role in passive margin evolution.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2020.106287","usgsCitation":"Brothers, L.L., Foster, D.S., Pendleton, E.A., and Baldwin, W.E., 2020, Seismic stratigraphic framework of the continental shelf offshore Delmarva, U.S.A.: Implications for Mid-Atlantic Bight evolution since the Pliocene: Marine Geology, v. 428, 106287, 19 p., https://doi.org/10.1016/j.margeo.2020.106287.","productDescription":"106287, 19 p.","ipdsId":"IP-110610","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2020.106287","text":"Publisher Index Page"},{"id":436881,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GQY0ZN","text":"USGS data release","linkHelpText":"Geospatial data layers of shallow geology from the inner continental shelf of the Delmarva Peninsula, including Maryland and Virginia state waters"},{"id":376437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Delmarva Peninsula, Mid-Atlantic Bight","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.409912109375,\n 36.98500309285596\n ],\n [\n -73.80615234375,\n 36.98500309285596\n ],\n [\n -73.80615234375,\n 39.29179704377487\n ],\n [\n -76.409912109375,\n 39.29179704377487\n ],\n [\n -76.409912109375,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"428","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brothers, Laura L. 0000-0003-2986-5166 lbrothers@usgs.gov","orcid":"https://orcid.org/0000-0003-2986-5166","contributorId":176698,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Elizabeth A. 0000-0002-1224-4892 ependleton@usgs.gov","orcid":"https://orcid.org/0000-0002-1224-4892","contributorId":174845,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth","email":"ependleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211172,"text":"70211172 - 2020 - Preserving connectivity under climate and land-use change: No one-size-fits-all approach for focal species in similar habitats","interactions":[],"lastModifiedDate":"2020-07-16T17:41:37.244991","indexId":"70211172","displayToPublicDate":"2020-07-10T10:44:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Preserving connectivity under climate and land-use change: No one-size-fits-all approach for focal species in similar habitats","docAbstract":"

Habitat connectivity is essential for maintaining populations of wildlife species, especially as climate changes. Knowledge about the fate of existing habitat networks in a changing climate and in light of land-use change is critical for determining which types of conservation actions must be taken to maintain those networks. However, information is lacking about how multiple focal species that use similar habitats overlap in the degree and geographic patterns of threats to linkages among currently suitable habitat patches. We sought to address that gap. We assessed climate change threat to existing linkages in the southeastern United States for three wildlife species that use similar habitats but differ in the degree to which their ranges are limited by climate, habitat specificity, and dispersal ability. Linkages for the specialist species (timber rattlesnake), whose range is climate-restricted, were more likely to serve as climate change refugia – that is, they were more likely to be climate-stable – by the middle of the 21st century. This contrasts with the two more generalist species (Rafinesque's big-eared bat and American black bear), whose linkages were threatened by climate change and thus required adaptation measures. Further incorporation of projected land-use change and current protection status for important linkages narrows down our recommended conservation actions for each species. Our results highlight the surprising ways in which even species that use similar habitats will experience differences in the degree and geographic patterns of threats to connectivity. Taking action before these projected changes occur will be critical for successful conservation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108678","usgsCitation":"Costanza, J.K., Watling, J.I., Sutherland, R., Belyea, C., Dilkina, B., Cayton, H., Bucklin, D.N., Romanach, S., and Haddad, N.M., 2020, Preserving connectivity under climate and land-use change: No one-size-fits-all approach for focal species in similar habitats: Biological Conservation, v. 248, 108678, 10 p., https://doi.org/10.1016/j.biocon.2020.108678.","productDescription":"108678, 10 p.","ipdsId":"IP-113136","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":456048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2020.108678","text":"Publisher Index Page"},{"id":376432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, 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N.","contributorId":175273,"corporation":false,"usgs":false,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":792938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":216659,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792939,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haddad, Nick M.","contributorId":229345,"corporation":false,"usgs":false,"family":"Haddad","given":"Nick","email":"","middleInitial":"M.","affiliations":[{"id":41625,"text":"Kellogg Biological Station and Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":792940,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211082,"text":"70211082 - 2020 - A holistic modelling approach to project the evolution of inlet-interrupted coastlines over the 21st century","interactions":[],"lastModifiedDate":"2020-07-14T15:28:54.536523","indexId":"70211082","displayToPublicDate":"2020-07-10T10:26:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"A holistic modelling approach to project the evolution of inlet-interrupted coastlines over the 21st century","docAbstract":"Approximately one quarter of the World’s sandy beaches, most of which are interrupted by tidal inlets, are eroding. Understanding the long-term (50-100 year) evolution of inlet-interrupted coasts in a changing climate is therefore of great importance for coastal zone planners and managers. This study therefore focuses on the development and piloting of an innovative model that can simulate the climate-change driven evolution of inlet-interrupted coasts at 50-100 year time scales, while taking into account the contributions from catchment-estuary-coastal systems in a holistic manner. In this new model, the evolution of inlet-interrupted coasts is determined by: (1) computing the variation of total sediment volume exchange between the inlet-estuary system and its adjacent coast, and (2) distributing the computed sediment volume along the inlet-interrupted coast as a spatially and temporally varying quantity. The exchange volume, as computed here, consists of three major components: variation in fluvial sediment supply; basin (or estuarine) infilling due to the sea-level rise-induced increase in accommodation space; and estuarine sediment volume change due to variations in river discharge.\nTo pilot the model, it is here applied to three different catchment-estuary-coastal systems: the Alsea estuary (Oregon, USA), Dyfi estuary (Wales, UK), and Kalutara inlet (Sri Lanka). Results indicate that all three systems will experience sediment deficits by 2100 (i.e. sediment importing estuaries). However, processes and system characteristics governing the total sediment exchange volume, and thus coastline change, vary markedly among the systems due to differences in geomorphic settings and projected climatic conditions. These results underline the importance of accounting for the different governing processes when assessing the future evolution of inlet-interrupted coastlines.","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00542","usgsCitation":"Bamunawala, J., Dastgheib, A., Ranasinghe, R., van der Spek, A., Maskey, S., Murray, A.B., Duong, T., Barnard, P., and Sirisena, J.G., 2020, A holistic modelling approach to project the evolution of inlet-interrupted coastlines over the 21st century: Frontiers in Marine Science, v. 7, 542, 20 p., https://doi.org/10.3389/fmars.2020.00542.","productDescription":"542, 20 p.","ipdsId":"IP-117311","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00542","text":"Publisher Index Page"},{"id":376362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bamunawala, Janaka","contributorId":228985,"corporation":false,"usgs":false,"family":"Bamunawala","given":"Janaka","email":"","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":792716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dastgheib, Ali","contributorId":228986,"corporation":false,"usgs":false,"family":"Dastgheib","given":"Ali","email":"","affiliations":[{"id":40834,"text":"IHE Delft","active":true,"usgs":false}],"preferred":false,"id":792717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ranasinghe, Rosh","contributorId":228987,"corporation":false,"usgs":false,"family":"Ranasinghe","given":"Rosh","email":"","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":792718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Spek, Ad","contributorId":228988,"corporation":false,"usgs":false,"family":"van der Spek","given":"Ad","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":792719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maskey, Shreedhar","contributorId":228989,"corporation":false,"usgs":false,"family":"Maskey","given":"Shreedhar","email":"","affiliations":[{"id":40834,"text":"IHE Delft","active":true,"usgs":false}],"preferred":false,"id":792720,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, A. Brad","contributorId":228991,"corporation":false,"usgs":false,"family":"Murray","given":"A.","email":"","middleInitial":"Brad","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":792722,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duong, Trang M.","contributorId":228990,"corporation":false,"usgs":false,"family":"Duong","given":"Trang M.","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":792721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792723,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sirisena, Jeewanthi Gangani","contributorId":228992,"corporation":false,"usgs":false,"family":"Sirisena","given":"Jeewanthi","email":"","middleInitial":"Gangani","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":792724,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211199,"text":"70211199 - 2020 - Acidification in the U.S. Southeast: Causes, potential consequences and the role of the Southeast Ocean and Coastal Acidification Network","interactions":[],"lastModifiedDate":"2020-07-20T12:43:16.876903","indexId":"70211199","displayToPublicDate":"2020-07-10T10:09:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Acidification in the U.S. Southeast: Causes, potential consequences and the role of the Southeast Ocean and Coastal Acidification Network","docAbstract":"Coastal acidification in southeastern U.S. estuaries and coastal waters is influenced by biological activity, run-off from the land, and increasing carbon dioxide in the atmosphere. Acidification can negatively impact coastal resources such as shellfish, finfish, and coral reefs, and the communities that rely on them. Organismal responses for species located in the U.S. Southeast document large negative impacts of acidification, especially in larval stages. For example, the toxicity of pesticides increases under acidified conditions and the combination of acidification and low oxygen has profoundly negative influences on genes regulating oxygen consumption. In corals, the rate of calcification decreases with acidification and processes such as wound recovery, reproduction, and recruitment are negatively impacted. Minimizing the changes in global ocean chemistry will ultimately depend on the reduction of carbon dioxide emissions, but adaptation to these changes and mitigation of the local stressors that exacerbate global acidification can be addressed locally. The evolution of our knowledge of acidification, from basic understanding of the problem to the emergence of applied research and monitoring, has been facilitated by the development of regional Coastal Acidification Networks (CANs) across the United States. This synthesis is a product of the Southeast Coastal and Ocean Acidification Network (SOCAN). SOCAN was established to better understand acidification in the coastal waters of the U.S. Southeast and to foster communication among scientists, resource managers, businesses, and governments in the region. Here we review acidification issues in the U.S. Southeast, including the regional mechanisms of acidification and their potential impacts on biological resources and coastal communities. We recommend research and monitoring priorities and discuss the role SOCAN has in advancing acidification research and mitigation of and adaptation to these changes.","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00548","usgsCitation":"Hall, E.R., Wickes, L., Burnett, L., Scott, G., Hernandez, D., Yates, K.K., Barbero, L., Reimer, J.J., Baalousha, M., Mintz, J., Cai, W., Craig, J.K., DeVoe, M.R., Fisher, W.S., Hathaway, T.K., Jewett, E.B., Johnson, Z., Keener, P., Mordecai, R.S., Noakes, S., Phillips, C., Sandifer, P., Schnetzer, A., and Styron, J., 2020, Acidification in the U.S. Southeast: Causes, potential consequences and the role of the Southeast Ocean and Coastal Acidification Network: Frontiers in Marine Science, v. 7, 548, 11 p., https://doi.org/10.3389/fmars.2020.00548.","productDescription":"548, 11 p.","ipdsId":"IP-118617","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00548","text":"Publisher Index Page"},{"id":376460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.6494140625,\n 34.95799531086792\n ],\n [\n -85.078125,\n 32.54681317351514\n ],\n [\n -84.990234375,\n 30.939924331023445\n ],\n [\n -87.4951171875,\n 30.977609093348686\n ],\n [\n -87.4072265625,\n 30.372875188118016\n ],\n [\n -85.8251953125,\n 29.80251790576445\n ],\n [\n -84.8583984375,\n 29.458731185355344\n ],\n [\n -84.0673828125,\n 29.726222319395504\n ],\n [\n -83.0126953125,\n 28.806173508854776\n ],\n [\n -83.1005859375,\n 27.410785702577023\n ],\n [\n -81.73828125,\n 25.20494115356912\n ],\n [\n -83.0126953125,\n 24.886436490787712\n ],\n [\n -81.34277343749999,\n 23.845649887659352\n ],\n [\n -79.453125,\n 25.24469595130604\n ],\n [\n -79.98046875,\n 28.613459424004414\n ],\n [\n -80.68359375,\n 30.977609093348686\n ],\n [\n -75.146484375,\n 35.10193405724606\n ],\n [\n -75.5859375,\n 36.59788913307022\n ],\n [\n -81.6943359375,\n 36.527294814546245\n ],\n [\n -84.462890625,\n 35.17380831799959\n ],\n [\n -85.6494140625,\n 34.95799531086792\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Emily R.","contributorId":229381,"corporation":false,"usgs":false,"family":"Hall","given":"Emily","email":"","middleInitial":"R.","affiliations":[{"id":41628,"text":"Mote Marine","active":true,"usgs":false}],"preferred":false,"id":793101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wickes, Leslie","contributorId":229382,"corporation":false,"usgs":false,"family":"Wickes","given":"Leslie","email":"","affiliations":[{"id":41629,"text":"SECOORA Contractor - Thrive Blue Consulting","active":true,"usgs":false}],"preferred":false,"id":793102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burnett, Louis","contributorId":229383,"corporation":false,"usgs":false,"family":"Burnett","given":"Louis","email":"","affiliations":[{"id":35839,"text":"College of Charleston","active":true,"usgs":false}],"preferred":false,"id":793103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Geoffrey I.","contributorId":229389,"corporation":false,"usgs":false,"family":"Scott","given":"Geoffrey I.","affiliations":[],"preferred":false,"id":793104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernandez, Debra","contributorId":229384,"corporation":false,"usgs":false,"family":"Hernandez","given":"Debra","email":"","affiliations":[{"id":41630,"text":"SECOORA","active":true,"usgs":false}],"preferred":false,"id":793105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":793106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barbero, Leticia","contributorId":176396,"corporation":false,"usgs":false,"family":"Barbero","given":"Leticia","email":"","affiliations":[],"preferred":false,"id":793107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reimer, Janet J.","contributorId":229390,"corporation":false,"usgs":false,"family":"Reimer","given":"Janet","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":793114,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Baalousha, Mohammed","contributorId":229391,"corporation":false,"usgs":false,"family":"Baalousha","given":"Mohammed","affiliations":[],"preferred":false,"id":793115,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mintz, Jennifer","contributorId":229392,"corporation":false,"usgs":false,"family":"Mintz","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":793116,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cai, Wei-Jun","contributorId":176402,"corporation":false,"usgs":false,"family":"Cai","given":"Wei-Jun","email":"","affiliations":[{"id":27264,"text":"University of Delaware, Newark, DE","active":true,"usgs":false}],"preferred":false,"id":793117,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Craig, J. 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Ecological resources for fishes in stream food webs shift over space and time, providing a complex template of available resources that can be used for growth. We tracked water temperature in conjunction with young-of-year Coho Salmon size, growth, and diet in 2 streams with contrasting thermal regimes: a groundwater stream with colder temperatures and lower thermal variability all year and a surface-water stream with greater thermal variability and warmer summer temperatures more conducive to young-of-year salmon growth. We hypothesized that fry emergence would occur when rearing conditions are optimal for growth and that, all else being equal, summer fish growth will be greater in the surface-water stream. Previous work on Coho Salmon phenology in these streams showed that peak fry emergence occurred at the same time in early summer in both streams. We measured salmon fry emergence in relation to thermal variability and macroinvertebrate prey availability with subsequent tracking of somatic growth, diet, and body size during the 1st year of life in both streams. Macroinvertebrate prey availability was highest overall in the colder and thermally-stable groundwater stream than the surface-water stream. Prey availability was particularly high in the thalweg drift during peak fry emergence in the groundwater stream. There was no difference in Coho Salmon diet composition between streams, which included invertebrates from benthic, drift, and riparian habitats. We found no differences in young-of-year Coho Salmon body size, growth, or consumption between streams. Overall, our results suggest that large differences in thermal regimes do not necessarily translate to large differences in young-of-year Coho Salmon size, growth, or diet. Many variables can influence fish growth, and there is not always a direct connection between spatial and temporal dimensions of environmental variability and their cascading effects on young-of-year Coho Salmon growth during the 1st summer of life.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/710042","usgsCitation":"Campbell, E.Y., Dunham, J.B., and Reeves, G.H., 2020, Linkages between temperature, macroinvertebrates, and young-of-year Coho Salmon growth in surface-water and groundwater streams: Freshwater Science, v. 39, no. 3, p. 447-460, https://doi.org/10.1086/710042.","productDescription":"14 p.","startPage":"447","endPage":"460","ipdsId":"IP-106030","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":378502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell, E. Y.","contributorId":240894,"corporation":false,"usgs":false,"family":"Campbell","given":"E.","email":"","middleInitial":"Y.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":799062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":799063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, G H","contributorId":240895,"corporation":false,"usgs":false,"family":"Reeves","given":"G","email":"","middleInitial":"H","affiliations":[{"id":48156,"text":"USFS-PNW Research Station","active":true,"usgs":false}],"preferred":false,"id":799064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211057,"text":"70211057 - 2020 - Land-cover and climatic controls on water temperature, flow permanence, and fragmentation of Great Basin stream networks","interactions":[],"lastModifiedDate":"2020-07-16T20:06:22.256521","indexId":"70211057","displayToPublicDate":"2020-07-10T09:02:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Land-cover and climatic controls on water temperature, flow permanence, and fragmentation of Great Basin stream networks","docAbstract":"The seasonal and inter-annual variability of flow presence and water temperature within headwater streams of the Great Basin of the western United States limit the occurrence and distribution of coldwater fish and other aquatic species. To evaluate changes in flow presence and water temperature during seasonal dry periods, we developed spatial stream network (SSN) models from remotely sensed land-cover and climatic data that account for autocovariance within stream networks to predict the May to August flow presence and water temperature between 2015 and 2017 in two arid watersheds within the Great Basin: Willow and Whitehorse Creeks in southeastern Oregon and Willow and Rock Creeks in northern Nevada. The inclusion of spatial autocovariance structures improved the predictive performance of the May water temperature model when the stream networks were most connected, but only marginally improved the August water temperature model when the stream networks were most fragmented. As stream network fragmentation increased from the spring to the summer, the SSN models revealed a shift in the scale of processes affecting flow presence and water temperature from watershed-scale processes like snowmelt during high-runoff seasons to local processes like groundwater discharge during sustained seasonal dry periods.","language":"English","publisher":"MDPI","doi":"10.3390/w12071962","usgsCitation":"Gendaszek, A.S., Dunham, J.B., Torgersen, C.E., Hockman-Wert, D.P., Heck, M., Thorson, J.M., Mintz, J.M., and Allai, T., 2020, Land-cover and climatic controls on water temperature, flow permanence, and fragmentation of Great Basin stream networks: Water, v. 12, no. 7, 1962, 29 p., https://doi.org/10.3390/w12071962.","productDescription":"1962, 29 p.","ipdsId":"IP-113706","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science 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