{"pageNumber":"569","pageRowStart":"14200","pageSize":"25","recordCount":165309,"records":[{"id":70212990,"text":"70212990 - 2020 - Repetitive sampling and control threshold improve 16S rRNA results from produced waters associated with hydraulically fractured shales","interactions":[],"lastModifiedDate":"2020-09-25T13:23:31.678374","indexId":"70212990","displayToPublicDate":"2020-08-21T07:15:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Repetitive sampling and control threshold improve 16S rRNA results from produced waters associated with hydraulically fractured shales","docAbstract":"

Sequencing microbial DNA from deep subsurface environments is complicated by a number of issues ranging from contamination to non-reproducible results. Many samples obtained from these environments - which are of great interest due to the potential to stimulate microbial methane generation - contain low biomass. Therefore, samples from these environments are difficult to study as sequencing results can be easily impacted by contamination. In this case, the low amount of sample biomass may be effectively swamped by the contaminating DNA and generate misleading results. Additionally, performing field work in these environments can be difficult, as researchers generally have limited access to and time on site. Therefore, optimizing a sampling plan to produce the best results while collecting the greatest number of samples over a short period of time is ideal. This study aimed to recommend an adequate sampling plan for field researchers obtaining microbial biomass for 16S rRNA gene sequencing, applicable specifically to oil and gas-producing environments.
Forty-nine different samples were collected by filtering specific volumes of produced water from a hydraulically fractured well producing from the Niobrara Shale. Water was collected in two different sampling events 24 hours apart. Four to five samples were collected from 11 specific volumes. These samples along with eight different blanks were submitted for analysis. DNA was extracted from each sample, and quantitative polymerase chain reaction (qPCR) and 16S rRNA Illumina MiSeq gene sequencing were performed to determine relative concentrations of biomass and microbial community composition, respectively. The qPCR results varied across sampled volumes, while no discernible trend correlated contamination to volume of water filtered. This suggests that collecting a larger volume of sample may not result in larger biomass concentrations or better representation of a sampled environment. Researchers could prioritize collecting many low volume samples over few high-volume samples. Our results suggest that there also may be variability in the concentration of microbial communities present in produced waters over short (i.e., hours) time scales, which warrants further investigation. Submission of multiple blanks is also vital to determining how contamination or low biomass effects may influence a sample set collected from an unknown environment.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2020.536978","usgsCitation":"Shelton, J., Barnhart, E.P., Ruppert, L.F., Jubb, A., Blondes, M., and DeVera, C.A., 2020, Repetitive sampling and control threshold improve 16S rRNA results from produced waters associated with hydraulically fractured shales: Frontiers in Microbiology, v. 11, 536978, 14 p., https://doi.org/10.3389/fmicb.2020.536978.","productDescription":"536978, 14 p.","ipdsId":"IP-115291","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":455583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2020.536978","text":"Publisher Index Page"},{"id":378159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Montana, Wyoming, Colorado, New Mexico, Texas, Oklahoma, Kansas, Nebraska, North Dakota, South Dakota, Alberta, Saskatchewan, Manitoba","otherGeospatial":"Great Plains, Niobrara Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.697265625,\n 54.059387886623576\n ],\n [\n -116.45507812500001,\n 51.17934297928927\n ],\n [\n -113.818359375,\n 47.69497434186282\n ],\n [\n -106.787109375,\n 43.644025847699496\n ],\n [\n -105.1171875,\n 39.842286020743394\n ],\n [\n -104.67773437499999,\n 35.88905007936091\n ],\n [\n -103.798828125,\n 31.12819929911196\n ],\n [\n -100.1953125,\n 28.69058765425071\n ],\n [\n -97.20703125,\n 25.3241665257384\n ],\n [\n -95.2734375,\n 29.38217507514529\n ],\n [\n -95.625,\n 38.13455657705411\n ],\n [\n -96.6796875,\n 41.902277040963696\n ],\n [\n -97.119140625,\n 47.338822694822\n ],\n [\n -96.94335937499999,\n 50.064191736659104\n ],\n [\n -114.697265625,\n 54.059387886623576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2020-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeVera, Christina A. 0000-0002-4691-6108 cdevera@usgs.gov","orcid":"https://orcid.org/0000-0002-4691-6108","contributorId":3845,"corporation":false,"usgs":true,"family":"DeVera","given":"Christina","email":"cdevera@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797918,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237133,"text":"70237133 - 2020 - Step increase in eastern U.S. precipitation linked to Indian Ocean warming","interactions":[],"lastModifiedDate":"2022-09-30T11:38:19.67307","indexId":"70237133","displayToPublicDate":"2020-08-21T06:35:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Step increase in eastern U.S. precipitation linked to Indian Ocean warming","docAbstract":"

A step increase in annual precipitation over the eastern United States in the early 1970s commenced five decades of invigorated hydroclimate, with ongoing impacts on streamflow and water resources. Despite its far-reaching impacts, the dynamical origin of this change is unknown. Here analyses of a century of atmospheric and oceanic data trace the dynamics to changes in the Indian Ocean. Increases in fall precipitation contribute most strongly to the step increase, and the associated mechanism is emergence of a pan-Pacific atmospheric wave emanating from deep convection over the warming Indian Ocean. Documentation of this fall teleconnection draws attention to projected anthropogenic increases in tropical oceanic heat content and their potential impacts on hydroclimate of the midlatitudes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL088911","usgsCitation":"Strong, C., McCabe, G.J., and Weech, A., 2020, Step increase in eastern U.S. precipitation linked to Indian Ocean warming: Geophysical Research Letters, v. 47, no. 17, e2020GL088911, 10 p., https://doi.org/10.1029/2020GL088911.","productDescription":"e2020GL088911, 10 p.","ipdsId":"IP-109186","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gl088911","text":"Publisher Index Page"},{"id":407688,"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\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.28515625,\n 23.563987128451217\n ],\n [\n -65.91796875,\n 23.563987128451217\n ],\n [\n -65.91796875,\n 49.83798245308484\n ],\n [\n -92.28515625,\n 49.83798245308484\n ],\n [\n -92.28515625,\n 23.563987128451217\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"17","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Strong, Courtney","contributorId":297138,"corporation":false,"usgs":false,"family":"Strong","given":"Courtney","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":853426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":853427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weech, Alexander","contributorId":297139,"corporation":false,"usgs":false,"family":"Weech","given":"Alexander","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":853428,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212535,"text":"sir20205076 - 2020 - Groundwater levels in the Denver Basin bedrock aquifers of Douglas County, Colorado, 2011–19","interactions":[],"lastModifiedDate":"2020-08-21T14:15:33.731249","indexId":"sir20205076","displayToPublicDate":"2020-08-20T15:37:38","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5076","displayTitle":"Groundwater Levels in the Denver Basin Bedrock Aquifers of Douglas County, Colorado, 2011–19","title":"Groundwater levels in the Denver Basin bedrock aquifers of Douglas County, Colorado, 2011–19","docAbstract":"

Municipal and domestic water users in Douglas County, Colorado, rely on groundwater from the bedrock aquifers in the Denver Basin aquifer system as part of their water supply. The four principal Denver Basin bedrock aquifers are, from shallowest to deepest, the Dawson aquifer (divided administratively into “upper” and “lower” Dawson aquifers in Douglas County), the Denver aquifer, the Arapahoe aquifer, and the Laramie-Fox Hills aquifer. Increased groundwater pumping in response to rapid population growth and development has led to declining groundwater levels in Douglas County, where groundwater is a primary water source for densely populated and rural communities. The U.S. Geological Survey, in cooperation with the Rural Water Authority of Douglas County, began a study in 2011 to assess the groundwater resources of the Denver Basin bedrock aquifers within the county. The primary purpose of this report is to present a summary of groundwater levels measured during the study period (2011–19) and present results from statistical analyses of changes in groundwater-level elevations, reported above the land-surface datum, North American Vertical Datum of 1988, through time. During the study period, January 2011 through June 2019, discrete groundwater levels were routinely measured at 36 wells producing from Denver Basin bedrock aquifers within Douglas County. Of the 36 wells, 15 are instrumented with pressure transducers that record groundwater-level measurements at hourly intervals, and these data were temporally aggregated into time-series records. During 2011, wells were added to the monitoring network in phases, so that the start dates of the well records are noncontemporaneous. To keep temporal analysis among wells consistent, the periods of record used in statistical analyses were from February 2012 through February 2019 for the discrete data and from January 2012 through June 2019 for the time-series data.

The upper Dawson, lower Dawson, Denver, and Arapahoe aquifers had some wells with rises in calculated groundwater-level elevations, but most wells showed declines on the basis of statistically significant trends and the relative differences in static groundwater-level elevations between the February 2012 and February 2019 measurements. Neither of the two wells in the Laramie-Fox Hills aquifer showed significant trends in groundwater-level elevations, and these wells had few static discrete measurements, precluding a comparison between 2012 and 2019 static groundwater-level elevations. Of the 13 wells in the upper Dawson, lower Dawson, Denver, and Arapahoe aquifers with significant trends in discrete groundwater-level elevation measurements, the records of 12 wells demonstrated negative trends during the study period. The upper Dawson, lower Dawson, Denver, and Arapahoe aquifers had median significant trends of −0.23, −0.31, −0.92, and −2.26 feet per year, respectively. Although the Arapahoe aquifer had the greatest negative median trend, this median only represents one well with significant trends. Otherwise, the Denver aquifer had the next greatest negative trend, with a median trend of −0.92 foot per year. Significant trends in time-series groundwater-level elevations agreed with significant trends in discrete groundwater-level elevations; for all wells with statistically significant trends in discrete and in time-series groundwater-level elevation data, trend estimates from the two records were within 0.1 foot per year of each other. Potentiometric-surface maps of the upper Dawson, lower Dawson, and Denver aquifers, created using discrete static groundwater levels measured in February 2019, show that groundwater flow direction for the upper Dawson, lower Dawson, and Denver aquifers is generally from south to north. Results of this study could guide future groundwater monitoring in the county and aid in long-term planning of water resources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205076","collaboration":"Prepared in cooperation with the Rural Water Authority of Douglas County","usgsCitation":"Malenda, H.F., and Penn, C.A., 2020, Groundwater levels in the Denver Basin bedrock aquifers of Douglas County, Colorado, 2011–19: U.S. Geological Survey Scientific Investigations Report 2020–5076, 44 p., https://doi.org/10.3133/sir20205076.","productDescription":"Report: vii, 44 p.; Dataset","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-112835","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":377656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5076/coverthb.jpg"},{"id":377657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5076/sir20205076.pdf","text":"Report","size":"5.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5076"},{"id":377658,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Colorado","county":"Douglas County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.6627,39.5665],[-104.6626,39.4762],[-104.663,39.3892],[-104.664,39.3026],[-104.6638,39.2165],[-104.6642,39.1308],[-104.8303,39.1311],[-104.9175,39.131],[-104.9371,39.1312],[-105.032,39.1311],[-105.0503,39.1312],[-105.1607,39.1306],[-105.274,39.1309],[-105.3232,39.1307],[-105.322,39.1343],[-105.3213,39.1407],[-105.3195,39.1434],[-105.3171,39.1443],[-105.3148,39.1461],[-105.3136,39.1493],[-105.3117,39.1542],[-105.3069,39.161],[-105.3051,39.1624],[-105.3015,39.1632],[-105.2985,39.1673],[-105.2961,39.1705],[-105.2908,39.1741],[-105.2872,39.1772],[-105.2841,39.1863],[-105.2817,39.1935],[-105.2768,39.2016],[-105.2744,39.2048],[-105.272,39.2052],[-105.2649,39.2061],[-105.2619,39.2074],[-105.2601,39.2097],[-105.2595,39.2156],[-105.2582,39.2283],[-105.2557,39.2332],[-105.2533,39.2378],[-105.2527,39.2396],[-105.2491,39.2395],[-105.2432,39.2395],[-105.2396,39.2399],[-105.2348,39.2431],[-105.2259,39.248],[-105.2217,39.2534],[-105.2216,39.2575],[-105.2204,39.2589],[-105.2168,39.2593],[-105.2144,39.2606],[-105.2162,39.2643],[-105.2167,39.2683],[-105.2143,39.2729],[-105.2058,39.29],[-105.2046,39.295],[-105.2016,39.2982],[-105.1938,39.3018],[-105.1938,39.304],[-105.1955,39.3081],[-105.1948,39.3126],[-105.1919,39.3131],[-105.1877,39.3158],[-105.187,39.3194],[-105.1846,39.3239],[-105.184,39.328],[-105.1815,39.3352],[-105.1767,39.3402],[-105.1718,39.3501],[-105.1694,39.3555],[-105.1658,39.36],[-105.1663,39.3682],[-105.168,39.3732],[-105.1697,39.3809],[-105.1702,39.3845],[-105.166,39.39],[-105.1654,39.3949],[-105.1671,39.399],[-105.1671,39.4031],[-105.1664,39.4049],[-105.1586,39.4094],[-105.1527,39.4116],[-105.1419,39.417],[-105.1383,39.4197],[-105.1335,39.4233],[-105.1268,39.4296],[-105.1238,39.4336],[-105.1244,39.4368],[-105.1237,39.4409],[-105.1225,39.4468],[-105.123,39.4531],[-105.1253,39.4563],[-105.1289,39.4586],[-105.1306,39.4654],[-105.1305,39.4695],[-105.1263,39.4731],[-105.1197,39.4762],[-105.1155,39.4785],[-105.1149,39.4798],[-105.1137,39.4825],[-105.1119,39.4834],[-105.1,39.4829],[-105.0928,39.4846],[-105.0874,39.4891],[-105.0843,39.4941],[-105.0818,39.5022],[-105.08,39.5059],[-105.077,39.5095],[-105.0775,39.5126],[-105.0757,39.5194],[-105.0762,39.524],[-105.0724,39.5402],[-105.0646,39.547],[-105.0609,39.5501],[-105.0609,39.5551],[-105.0561,39.5592],[-105.0494,39.5627],[-105.0452,39.5659],[-104.9408,39.5664],[-104.8292,39.5663],[-104.7182,39.5661],[-104.6627,39.5665]]]},\"properties\":{\"name\":\"Douglas\",\"state\":\"CO\"}}]}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-08-20","noUsgsAuthors":false,"publicationDate":"2020-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Malenda, Helen F. 0000-0003-4143-6460","orcid":"https://orcid.org/0000-0003-4143-6460","contributorId":211885,"corporation":false,"usgs":false,"family":"Malenda","given":"Helen","email":"","middleInitial":"F.","affiliations":[{"id":38341,"text":"Colorodo School of Mines","active":true,"usgs":false}],"preferred":true,"id":796737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penn, Colin A. 0000-0002-5195-2744","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":203851,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228405,"text":"70228405 - 2020 - The effect of size on postrelease survival of head-started Mojave desert tortoises","interactions":[],"lastModifiedDate":"2022-02-10T16:30:42.552545","indexId":"70228405","displayToPublicDate":"2020-08-20T10:22:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"The effect of size on postrelease survival of head-started Mojave desert tortoises","docAbstract":"

Captive-rearing conservation programs focus primarily on maximizing postrelease survival. Survival increases with size in a variety of taxa, often leading to the use of enhanced size as a means to minimize postrelease losses. Head-starting is a specific captive-rearing approach used to accelerate growth in captivity prior to release in the wild. We explored the effect of size at release, among other potential factors, on postrelease survival in head-started Mojave desert tortoises Gopherus agassizii. Juvenile tortoises were reared for different durations of captivity (2–7 y) and under varying husbandry protocols, resulting in a wide range of juvenile sizes (68–145 mm midline carapace length) at release. We released all animals (n = 78) in the Mojave National Preserve, California, United States, on 25 September 2018. Release size and surface activity were the only significant predictors of fate during the first year postrelease. Larger sized head-starts had higher predicted survival rates when compared with smaller individuals. This trend was also observed in animals of the same age but reared under different protocols, suggesting that accelerating the growth of head-started tortoises may increase efficiency of head-starting programs without decreasing postrelease success. Excluding five missing animals, released head-starts had 82.2% survival in their first year postrelease (September 2018–September 2019), with all mortalities resulting from predation. No animals with >90-mm midline carapace length were predated by ravens. Our findings suggest the utility of head-starting may be substantially improved by incorporating indoor rearing to accelerate growth. Target release size for head-started chelonians will vary among head-start programs based on release site conditions and project-specific constraints.

","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-20-014","usgsCitation":"McGovern, P., Buhlmann, K.A., Todd, B.D., Moore, C.T., Peaden, J.M., Heppenstall-Cymerman, J., Daly, J.A., and Tuberville, T.D., 2020, The effect of size on postrelease survival of head-started Mojave desert tortoises: Journal of Fish and Wildlife Management, v. 11, no. 2, p. 494-506, https://doi.org/10.3996/JFWM-20-014.","productDescription":"13 p.","startPage":"494","endPage":"506","ipdsId":"IP-115667","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":455587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-20-014","text":"Publisher Index Page"},{"id":395778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ivanpah Valley, Mojave National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.400390625,\n 35.209721645221386\n ],\n [\n -115.04882812499999,\n 35.209721645221386\n ],\n [\n -115.04882812499999,\n 35.45619556834375\n ],\n [\n -115.400390625,\n 35.45619556834375\n ],\n [\n -115.400390625,\n 35.209721645221386\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McGovern, P. A.","contributorId":275620,"corporation":false,"usgs":false,"family":"McGovern","given":"P. A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, K. A.","contributorId":275621,"corporation":false,"usgs":false,"family":"Buhlmann","given":"K.","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, B. D.","contributorId":275623,"corporation":false,"usgs":false,"family":"Todd","given":"B.","email":"","middleInitial":"D.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":834229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peaden, J. M.","contributorId":275626,"corporation":false,"usgs":false,"family":"Peaden","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":834231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heppenstall-Cymerman, J.","contributorId":275700,"corporation":false,"usgs":false,"family":"Heppenstall-Cymerman","given":"J.","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daly, J. A.","contributorId":275632,"corporation":false,"usgs":false,"family":"Daly","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":56868,"text":"Directorate of Public Works, Environmental Division, Dublin, CA","active":true,"usgs":false}],"preferred":false,"id":834233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tuberville, T. D.","contributorId":275634,"corporation":false,"usgs":false,"family":"Tuberville","given":"T.","email":"","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834234,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215081,"text":"70215081 - 2020 - Research is needed to inform environmental management of hydrothermally inactive and extinct polymetallic sulfide (PMS) deposits","interactions":[],"lastModifiedDate":"2020-11-30T16:12:17.435595","indexId":"70215081","displayToPublicDate":"2020-08-20T08:20:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5220,"text":"Marine Policy","active":true,"publicationSubtype":{"id":10}},"title":"Research is needed to inform environmental management of hydrothermally inactive and extinct polymetallic sulfide (PMS) deposits","docAbstract":"

Polymetallic sulfide (PMS) deposits produced at hydrothermal vents in the deep sea are of potential interest to miners. Hydrothermally active sulfide ecosystems are valued for the extraordinary chemosynthetic communities that they support. Many countries, including Canada, Portugal, and the United States, protect vent ecosystems in their Exclusive Economic Zones. When hydrothermal activity ceases temporarily (dormancy) or permanently (extinction), the habitat and associated ecosystem change dramatically. Until recently, so-called “inactive sulfide” habitats, either dormant or extinct, received little attention from biologists. However, the need for environmental management of deep-sea mining places new imperatives for building scientific understanding of the structure and function of inactive PMS deposits. This paper calls for actions of the scientific community and the emergent seabed mining industry to i) undertake fundamental ecological descriptions and study of ecosystem functions and services associated with hydrothermally inactive PMS deposits, ii) evaluate potential environmental risks to ecosystems of inactive PMS deposits through research, and iii) identify environmental management needs that may enable mining of inactive PMS deposits. Mining of some extinct PMS deposits may have reduced environmental risk compared to other seabed mining activities, but this must be validated through scientific research on a case-by-case basis.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpol.2020.104183","usgsCitation":"Van Dover, C., Colaco, A., Collins, P., Croot, P., Metaxas, A., Murton, B., Swaddling, A., Boschen-Rose, R., Carlsson, J., Cuyvers, L., Fukushima, T., Gartman, A., Kennedy, R., Kriete, C., Mestre, N., Molodtsova, T., Myhrvold, A., Pelleter, E., Popoola, S., Qian, P., Sarrazin, J., Sharma, R., Suh, Y., Sylvan, J., Tao, C., Tomczak, M., and Vermilye, J., 2020, Research is needed to inform environmental management of hydrothermally inactive and extinct polymetallic sulfide (PMS) deposits: Marine Policy, v. 121, 104183, 7 p., https://doi.org/10.1016/j.marpol.2020.104183.","productDescription":"104183, 7 p.","ipdsId":"IP-117888","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpol.2020.104183","text":"Publisher 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Coastal wetlands have disproportionately high carbon densities, known as blue carbon, compared to most terrestrial ecosystems. Mangroves and their blue carbon stocks are at risk globally from land‐use and land‐cover change (LULCC) activities such as aquaculture, alongside biophysical disturbances such as sea‐level rise and cyclones. Global estimates of carbon emissions from mangrove loss have been previously unable to differentiate between the variable impacts of different drivers of loss. This article discusses the impacts that different LULCC activities and biophysical disturbances have on carbon stocks (biomass and soil) and greenhouse gas fluxes (CO2 and CH4). The dynamics of carbon stocks and fluxes depends on the type of LULCC; aquaculture often results in biomass and soil carbon removal, and some forms of agriculture can substantially increase methane emissions. Natural disturbances have mixed impacts on mangrove carbon; sea‐level rise will drown some mangroves and their carbon stocks but provide opportunities for new carbon accumulation, while cyclones can have immediate negative impacts on stocks but positive impacts on sequestration during recovery. Mangrove rehabilitation practices can actively restore carbon stocks and reduce greenhouse gas emissions from previous land uses. It is critical to consider the type of LULCC when estimating carbon emissions due to mangrove loss or rehabilitation. Mangrove blue carbon is now high on the international conservation policy agenda, and a better understanding of how carbon stocks and fluxes respond to anthropogenic and biophysical disturbance may provide better incentives for mangrove conservation and sustainable management.

","language":"English","publisher":"Wiley","doi":"10.1002/9781119312994.apr0752","usgsCitation":"Friess, D., Krauss, K., Taillardat, P., Adame, M.F., Yando, E.S., Cameron, C., Sasmito, S.D., and Sillanpaa, M., 2020, Mangrove blue carbon in the face of deforestation, climate change, and restoration: Annual Plant Reviews, v. 3, no. 3, p. 427-456, https://doi.org/10.1002/9781119312994.apr0752.","productDescription":"30 p.","startPage":"427","endPage":"456","ipdsId":"IP-116066","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":455593,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10072/413569","text":"External Repository"},{"id":379344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":801261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219653,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":801262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taillardat, Pierre","contributorId":242983,"corporation":false,"usgs":false,"family":"Taillardat","given":"Pierre","email":"","affiliations":[{"id":40151,"text":"University of Quebec Montreal","active":true,"usgs":false}],"preferred":false,"id":801263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adame, Maria Fernanda","contributorId":242984,"corporation":false,"usgs":false,"family":"Adame","given":"Maria","email":"","middleInitial":"Fernanda","affiliations":[{"id":48596,"text":"Australian Rivers Institute, Griffith University","active":true,"usgs":false}],"preferred":false,"id":801264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yando, Erik S.","contributorId":127788,"corporation":false,"usgs":false,"family":"Yando","given":"Erik","email":"","middleInitial":"S.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":801265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cameron, Clint","contributorId":242985,"corporation":false,"usgs":false,"family":"Cameron","given":"Clint","email":"","affiliations":[{"id":48597,"text":"Wildland Consultants Limited","active":true,"usgs":false}],"preferred":false,"id":801266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sasmito, Sigit D.","contributorId":242986,"corporation":false,"usgs":false,"family":"Sasmito","given":"Sigit","email":"","middleInitial":"D.","affiliations":[{"id":48598,"text":"Research Institute for the Environment and Livelihoods (RIEL), Charles Darwin University","active":true,"usgs":false}],"preferred":false,"id":801267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sillanpaa, Meriadec","contributorId":242987,"corporation":false,"usgs":false,"family":"Sillanpaa","given":"Meriadec","email":"","affiliations":[{"id":34613,"text":"Dept. of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":801268,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70212374,"text":"ofr20201070 - 2020 - Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide","interactions":[],"lastModifiedDate":"2020-08-21T14:02:29.275852","indexId":"ofr20201070","displayToPublicDate":"2020-08-19T14:35:00","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":"2020-1070","displayTitle":"Cliff Feature Delineation Tool and Baseline Builder Tool, Version 1.0 User Guide","title":"Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide","docAbstract":"

Coastal cliffs constitute 80 percent of the world’s coastline, with seacliffs fronting a large proportion of the U.S. West Coast shoreline, particularly in California. Erosion of coastal cliffs can threaten infrastructure and human life, yet the spatial and temporal scope of cliff studies have been limited by cumbersome traditional methods that rely on the manual interpretation of seacliff features—especially seacliff toes and top edges. The Cliff Feature Delineation Tool (CFDT) and the Baseline Builder Tool are designed to increase the efficiency of deriving seacliff features from remote sensing datasets by utilizing an automated, quantitative approach that eliminates traditional interpretive methods and ensures reproducibility. This document functions as a user guide for operating the Cliff Feature Delineation Tool and Baseline Builder Tool and includes a walkthrough of data-visualization and data-review workflows for the tools’ three-dimensional (3D) cliff feature outputs. Also included is a brief overview of cliff feature delineation at the U.S. Geological Survey (USGS) and a detailed description of the tools’ algorithmic logic.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201070","usgsCitation":"Seymour, A.C., Hapke, C.J., and Warrick, J., 2020, Cliff Feature Delineation Tool and Baseline Builder version 1.0 user guide: U.S. Geological Survey Open File Report 2020–1070, 54 p.,\nhttps://doi.org/10.3133/ofr20201070.","productDescription":"Report: vi, 54 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112057","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":377578,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1070/ofr20201070.pdf","text":"Report","size":"10.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1070"},{"id":377535,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1070/coverthb2.jpg"},{"id":377532,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UKW7PO","text":"USGS software release","linkHelpText":"Cliff Feature Delineation Tool and Baseline Builder version 1.0"}],"contact":"

St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-08-19","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Seymour, Alexander C. 0000-0002-7680-6102","orcid":"https://orcid.org/0000-0002-7680-6102","contributorId":238616,"corporation":false,"usgs":true,"family":"Seymour","given":"Alexander","email":"","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":796394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":796395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":796396,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212536,"text":"fs20203043 - 2020 - Contaminants in fish and shellfish in the Stillaguamish River and Port Susan marine areas, Washington","interactions":[],"lastModifiedDate":"2020-08-21T14:09:10.067484","indexId":"fs20203043","displayToPublicDate":"2020-08-19T12:45:31","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3043","displayTitle":"Contaminants in Fish and Shellfish in the Stillaguamish River and Port Susan Marine Areas, Washington","title":"Contaminants in fish and shellfish in the Stillaguamish River and Port Susan marine areas, Washington","docAbstract":"

The greater Port Susan area of Central Puget Sound, Washington, is home to some of the Stillaguamish Tribe’s fishing, hunting, and gathering areas since time immemorial. It is also a popular sport and commercial fishing area for the public. Large shellfish beds lie in the Port Susan and Stillaguamish estuary and several Pacific salmon species return to the Stillaguamish River and Tulalip fishery every year. Clams and salmon are a local and consumable resource for Tribal members and the public. This review largely confirms existing recommendations from the Washington State Department of Health regarding clam and salmon human consumption advisories.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203043","collaboration":"Prepared in cooperation with the Stillaguamish Tribe of Indians and the Washington State Department of Health","usgsCitation":"Moran, P.W., McBride, D., and Perez, F., 2020, Contaminants in fish and shellfish in the Stillaguamish River and Port Susan marine areas, Washington: U.S. Geological Survey Fact Sheet 2020-3043, 4 p., https://doi.org/10.3133/fs20203043.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-117194","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":377660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3043/fs20203043.pdf","text":"Report","size":"8.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3043"},{"id":377659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3043/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Camano Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.56484985351561,\n 48.057889555610984\n ],\n [\n -122.2345733642578,\n 48.057889555610984\n ],\n [\n -122.2345733642578,\n 48.26491251331118\n ],\n [\n -122.56484985351561,\n 48.26491251331118\n ],\n [\n -122.56484985351561,\n 48.057889555610984\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"","publishedDate":"2020-08-19","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Moran, Patrick 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":14727,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":796739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perez, Franchesca","contributorId":238850,"corporation":false,"usgs":false,"family":"Perez","given":"Franchesca","email":"","affiliations":[{"id":35355,"text":"Stillaguamish Tribe of Indians","active":true,"usgs":false}],"preferred":false,"id":796740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Dave","contributorId":238851,"corporation":false,"usgs":false,"family":"McBride","given":"Dave","email":"","affiliations":[],"preferred":false,"id":796741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212487,"text":"sir20205074 - 2020 - Flood-inundation maps for the Little Calumet River from Lansing to South Holland, Illinois, 2020","interactions":[],"lastModifiedDate":"2022-10-25T13:58:13.629382","indexId":"sir20205074","displayToPublicDate":"2020-08-19T12:20:30","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5074","displayTitle":"Flood-Inundation Maps for the Little Calumet River from Lansing to South Holland, Illinois, 2020","title":"Flood-inundation maps for the Little Calumet River from Lansing to South Holland, Illinois, 2020","docAbstract":"

Digital flood-inundation maps for about an 8-mile reach of the Little Calumet River, Illinois, were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at three USGS streamgages: Little Calumet River at South Holland, Ill. (USGS station 05536290); Little Calumet River at Munster, Indiana (USGS station 05536195); and Thorn Creek at Thornton, Ill. (USGS station 05536275). Near-real-time stages at these streamgages may be obtained on the internet from the USGS National Water Information System at https://doi.org/10.5066/F7P55KJN or the National Weather Service Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at these sites.

Flood profiles were computed for the stream reaches using a one-dimensional unsteady flow step-backwater hydraulic model. The model performance was evaluated using historical streamflow measurements and the most current stage-discharge relations at the USGS streamgages at Little Calumet River at South Holland, Ill.; Little Calumet River at Munster, Ind.; and Thorn Creek at Thornton, Ill. The model was used to compute 24 water-surface profiles at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to about the 0.2-percent annual-exceedance probability flood (500-year recurrence interval flood). The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.6-foot vertical accuracy and a 2-foot horizontal resolution) to delineate the area flooded at each water level.

The availability of these maps, along with internet information regarding current stage from USGS streamgages and forecasted high-flow stages from the National Weather Service, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205074","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Dunn, A.P., Straub, T.D., and Manaster, A.E., 2020, Flood-inundation maps for the Little Calumet River from Lansing to South Holland, Illinois, 2020: U.S. Geological Survey Scientific Investigations Report 2020–5074, 10 p., https://doi.org/10.3133/sir20205074.","productDescription":"Report: vi, 10 p.; Data Release; Dataset","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-097182","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":377581,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99L14DN","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets for the flood-inundation study of Little Calumet River from Lansing to South Holland, Illinois, 2020, 2020"},{"id":377582,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":377580,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5074/sir20205074.pdf","text":"Report","size":"2.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5074"},{"id":377579,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5074/coverthb.jpg"}],"country":"United States","state":"Illinois","city":"Lansing, South Holland","otherGeospatial":"Little Calumet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.6295280456543,\n 41.54404730359805\n ],\n [\n -87.52584457397461,\n 41.54404730359805\n ],\n [\n -87.52584457397461,\n 41.62339874820646\n ],\n [\n -87.6295280456543,\n 41.62339874820646\n ],\n [\n -87.6295280456543,\n 41.54404730359805\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-08-19","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunn, Andrew P.","contributorId":238780,"corporation":false,"usgs":false,"family":"Dunn","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":796524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":796525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manaster, Adam E. 0000-0001-8183-4274","orcid":"https://orcid.org/0000-0001-8183-4274","contributorId":238781,"corporation":false,"usgs":false,"family":"Manaster","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796526,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212543,"text":"70212543 - 2020 - Simultaneous Middle Pleistocene eruption of three widespread tholeiitic basalts in northern California (USA): Insights into crustal magma transport in an actively extending back arc","interactions":[],"lastModifiedDate":"2020-11-30T16:55:14.392114","indexId":"70212543","displayToPublicDate":"2020-08-19T10:13:25","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":"Simultaneous Middle Pleistocene eruption of three widespread tholeiitic basalts in northern California (USA): Insights into crustal magma transport in an actively extending back arc","docAbstract":"

Mapping and chronology are central to understanding spatiotemporal volcanic trends in diverse tectonic settings. The Cascades back arc in northern California (USA) hosts abundant lava flows and normal faults, but tholeiitic basalts older than 200 ka are difficult to discriminate by classic mapping methods. Paleomagnetism and chemistry offer independent means of correlating basalts, including the Tennant, Dry Lake, and Hammond Crossing basalt fields. Paleomagnetic analysis of these chemically similar basalts yield notable overlap, with statistical analysis yielding 7 chances in 1,000,000 that their similar mean remanent directions are random. These basalts also have overlapping 40Ar/39Ar ages of 272.5 ± 30.6 ka (Tennant), 305.8 ± 23.9 ka (Dry Lake), and 300.4 ± 15.2 and 322.6 ± 17.4 ka (Hammond Crossing). Chemical and paleomagnetic analyses indicate that these spatially distributed basalts represent simultaneous (<100 yr uncertainty) eruptions, and thus we use 305.5 ± 9.8 ka (weighted mean) as the eruption age. Their vents align on a N25°W trend over a distance of 39 km. Tennant erupted the largest volume (3.55 ± 0.75 km3) at the highest elevation; both factors decay to the south-southeast at Dry Lake (0.75 ± 0.15 km3) and Hammond Crossing (0.15 ± 0.05 km3). We propose vertical magma ascent beneath the Tennant vent area, where the most evolved, high-SiO2 magma erupted, with lateral dike propagation in the brittle crust. Propagation was near orthogonal to east-west extension (0.3–0.6 mm/yr) along north-northwest–trending normal faults.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G48076.1","usgsCitation":"Downs, D.T., Champion, D.E., Muffler, L.P., Christiansen, R.L., Clynne, M.A., and Calvert, A.T., 2020, Simultaneous Middle Pleistocene eruption of three widespread tholeiitic basalts in northern California (USA): Insights into crustal magma transport in an actively extending back arc: Geology, v. 48, no. 12, p. 1216-1220, https://doi.org/10.1130/G48076.1.","productDescription":"5 p.","startPage":"1216","endPage":"1220","ipdsId":"IP-115431","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":377689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.068359375,\n 37.26530995561875\n ],\n [\n -119.53125,\n 37.26530995561875\n ],\n [\n -119.53125,\n 41.902277040963696\n ],\n [\n -125.068359375,\n 41.902277040963696\n ],\n [\n -125.068359375,\n 37.26530995561875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christiansen, Robert L. 0000-0002-8017-3918 rchris@usgs.gov","orcid":"https://orcid.org/0000-0002-8017-3918","contributorId":4412,"corporation":false,"usgs":true,"family":"Christiansen","given":"Robert","email":"rchris@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70212654,"text":"70212654 - 2020 - Evaluation of visible light as a cue for guiding downstream migrant juvenile Sea Lamprey","interactions":[],"lastModifiedDate":"2020-09-24T15:55:06.598413","indexId":"70212654","displayToPublicDate":"2020-08-19T10:12:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of visible light as a cue for guiding downstream migrant juvenile Sea Lamprey","docAbstract":"

Light can modify orientation and locomotory behaviors in fish and has been applied to attract or repel migrant fish by inducing positive or negative phototaxis. Here, recently metamorphosed downstream‐migrating Sea Lamprey Petromyzon marinus were exposed to light cues in several orientations and intensities at night under controlled flowing‐water conditions in a laboratory flume. Behaviors and rates of downstream movement were monitored with overhead cameras and nets. When exposed to low‐intensity white light, 16–23% more Sea Lamprey were captured in a net closest to the light cue array compared to a dark control condition, suggesting some degree of positive phototaxis at low light levels (100 lx at a distance of 1 m from the light source). An interaction with the side of the flume (possibly due to varying flow conditions) and light treatment was also observed. At higher light intensities (1,000 lx at 1 m from the source), Sea Lamprey progressed downstream at a lower rate than was observed during dark conditions. After high‐intensity light treatments, fewer Sea Lamprey were observed in the nets at the downstream end of the flume and more Sea Lamprey were observed in the flume or in the release channel compared to dark control trials. Therefore, some photonegative behavior may be expressed at light levels of 1,000 lx or greater, perhaps as an attempt to avoid detection by predators by remaining stationary or seeking shelter. Light may have utility as a cue used for guidance devices to control Sea Lamprey, but further research is needed to define how light intensity and the environment (turbidity, depth, water velocity, and natural habitat features) influence locomotion, changes in swimming depth, and other behavioral responses of downstream‐migrating juvenile Sea Lamprey.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10261","usgsCitation":"Haro, A., Miehls, S.M., Johnson, N., and Wagner, C.M., 2020, Evaluation of visible light as a cue for guiding downstream migrant juvenile Sea Lamprey: Transactions of the American Fisheries Society, v. 149, no. 5, p. 635-647, https://doi.org/10.1002/tafs.10261.","productDescription":"13 p.","startPage":"635","endPage":"647","ipdsId":"IP-115484","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":797217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":797218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":797219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, C. Michael","contributorId":145442,"corporation":false,"usgs":false,"family":"Wagner","given":"C.","email":"","middleInitial":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":797220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212559,"text":"70212559 - 2020 - The influence of climate variability on the accuracy of NHD perennial and non-perennial stream classifications","interactions":[],"lastModifiedDate":"2020-10-12T17:20:59.347945","indexId":"70212559","displayToPublicDate":"2020-08-19T08:49:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The influence of climate variability on the accuracy of NHD perennial and non-perennial stream classifications","docAbstract":"

National Hydrography Dataset (NHD) stream permanence classifications (SPC; perennial, intermittent, and ephemeral) are widely used for data visualization and applied science, and have implications for resource policy and management. NHD SPC were assigned using a combination of topographic field surveys and interviews with local residents. However, previous studies indicate that non‐NHD, in situ streamflow observations (NNO) frequently disagree with NHD SPC. We hypothesized that differences in annual climate conditions between map creation years and the years NNO were collected contributed to disagreement between NNO and NHD SPC. We compared NHD SPC to 10,055 NNO (classified as “wet” or “dry”) collected in the Pacific Northwest between 1977 and 2015. Annual climate conditions were described with the Palmer Drought Severity Index (PDSI). Stream order was added as a covariate to account for different effects along the stream network. NHD SPC agreed with 80.5% of NNO. “Dry” NNO were five times more likely to disagree with NHD than “wet” NNO (p < 0.0001). Disagreement was greatest on first‐order streams. When NHD SPC were collected during a wetter period than NNO the probability of disagreement increased by a factor of 1.17 (p < 0.0001) per unit difference in PDSI. The influence of climate on disagreements between NNO and NHD SPC provides support for the continued development of dynamic models representing SPC as opposed to static NHD classifications.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12871","usgsCitation":"Hafen, K., Blasch, K.W., Rea, A.H., Sando, R., and Paul Gessler, 2020, The influence of climate variability on the accuracy of NHD perennial and non-perennial stream classifications: Journal of the American Water Resources Association, v. 56, no. 5, p. 903-916, https://doi.org/10.1111/1752-1688.12871.","productDescription":"14 p.","startPage":"903","endPage":"916","ipdsId":"IP-112585","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":436815,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Z6XZP0","text":"USGS data release","linkHelpText":"Drought conditions during NHD topographic surveys and other streamflow observations in the Pacific Northwest, USA"},{"id":377718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hafen, Konrad 0000-0002-1451-362X","orcid":"https://orcid.org/0000-0002-1451-362X","contributorId":215959,"corporation":false,"usgs":true,"family":"Hafen","given":"Konrad","email":"","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":796867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rea, Alan H. 0000-0002-0406-9596 ahrea@usgs.gov","orcid":"https://orcid.org/0000-0002-0406-9596","contributorId":206357,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","email":"ahrea@usgs.gov","middleInitial":"H.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":796868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":796869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paul Gessler","contributorId":238894,"corporation":false,"usgs":false,"family":"Paul Gessler","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":796870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212807,"text":"70212807 - 2020 - Identifying reliable indicators of fitness in polar bears","interactions":[],"lastModifiedDate":"2020-08-28T13:32:49.77735","indexId":"70212807","displayToPublicDate":"2020-08-19T08:24:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Identifying reliable indicators of fitness in polar bears","docAbstract":"

Animal structural body size and condition are often measured to evaluate individual health, identify responses to environmental change and food availability, and relate food availability to effects on reproduction and survival. A variety of condition metrics have been developed but relationships between these metrics and vital rates are rarely validated. Identifying an optimal approach to estimate the body condition of polar bears is needed to improve monitoring of their response to decline in sea ice habitat. Therefore, we examined relationships between several commonly used condition indices (CI), body mass, and size with female reproductive success and cub survival among polar bears (Ursus maritimus) measured in two subpopulations over three decades. To improve measurement and application of morphometrics and CIs, we also examined whether CIs are independent of age and structural size–an important assumption for monitoring temporal trends—and factors affecting measurement precision and accuracy. Maternal CIs and mass measured the fall prior to denning were related to cub production. Similarly, maternal CIs, mass, and length were related to the mass of cubs or yearlings that accompanied her. However, maternal body mass, but not CIs, measured in the spring was related to cub production and only maternal mass and length were related to the probability of cub survival. These results suggest that CIs may not be better indicators of fitness than body mass in part because CIs remove variation associated with body size that is important in affecting fitness. Further, CIs exhibited variable relationships with age for growing bears and were lower for longer bears despite body length being related to cub survival and female reproductive success. These results are consistent with findings from other species indicating that body mass is a useful metric to link environmental conditions and population dynamics.

","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0237444","usgsCitation":"Rode, K.D., Atwood, T.C., Thiemann, G., St. Martin, M., Wilson, R.H., Durner, G.M., Regehr, E.V., Talbot, S.L., Sage, K., Pagano, A.M., and Simac, K.S., 2020, Identifying reliable indicators of fitness in polar bears: PLoS ONE, v. 15, no. 8, e0237444, 27 p., https://doi.org/10.1371/journal.pone.0237444.","productDescription":"e0237444, 27 p.","ipdsId":"IP-105170","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":455600,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0237444","text":"Publisher Index Page"},{"id":436816,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TVK3PX","text":"USGS data release","linkHelpText":"Measurement Data of Polar Bears Captured in the Chukchi and Southern Beaufort Sea, 1981-2017"},{"id":377983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":797509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":797510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemann, Gregory","contributorId":195129,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","affiliations":[],"preferred":false,"id":797511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":797512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":797513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":797514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":797515,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":797516,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sage, Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":139795,"corporation":false,"usgs":true,"family":"Sage","given":"Kevin","email":"ksage@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":797517,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":797519,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":797518,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70217388,"text":"70217388 - 2020 - The Alaska Amphibious Community Seismic Experiment","interactions":[],"lastModifiedDate":"2023-11-09T17:26:01.226761","indexId":"70217388","displayToPublicDate":"2020-08-19T07:54:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The Alaska Amphibious Community Seismic Experiment","docAbstract":"

The Alaska Amphibious Community Seismic Experiment (AACSE) is a shoreline‐crossing passive‐ and active‐source seismic experiment that took place from May 2018 through August 2019 along an &#x223C;700&#x2009;&#x2009;km\">∼700  km∼700  km long section of the Aleutian subduction zone spanning Kodiak Island and the Alaska Peninsula. The experiment featured 105 broadband seismometers; 30 were deployed onshore, and 75 were deployed offshore in Ocean Bottom Seismometer (OBS) packages. Additional strong‐motion instruments were also deployed at six onshore seismic sites. Offshore OBS stretched from the outer rise across the trench to the shelf. OBSs in shallow water (⁠&lt;262&#x2009;&#x2009;m\"><262  m<262  m depth) were deployed with a trawl‐resistant shield, and deeper OBSs were unshielded. Additionally, a number of OBS‐mounted strong‐motion instruments, differential and absolute pressure gauges, hydrophones, and temperature and salinity sensors were deployed. OBSs were deployed on two cruises of the R/V Sikuliaq in May and July 2018 and retrieved on two cruises aboard the R/V Sikuliaq and R/V Langseth in August–September 2019. A complementary 398‐instrument nodal seismometer array was deployed on Kodiak Island for four weeks in May–June 2019, and an active‐source seismic survey on the R/V Langseth was arranged in June 2019 to shoot into the AACSE broadband network and the nodes. Additional underway data from cruises include seafloor bathymetry and sub‐bottom profiles, with extra data collected near the rupture zone of the 2018 Mw\">MwMw 7.9 offshore‐Kodiak earthquake. The AACSE network was deployed simultaneously with the EarthScope Transportable Array (TA) in Alaska, effectively densifying and extending the TA offshore in the region of the Alaska Peninsula. AACSE is a community experiment, and all data were made available publicly as soon as feasible in appropriate repositories.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200189","usgsCitation":"Barcheck, C.G., Abers, G.A., Adams, A.N., Becel, A., Collins, J., Gaherty, J.B., Haeussler, P., Li, Z., Moore, G., Onyango, E., Roland, E., Sampson, D., Schwartz, S.Y., Sheehan, A.F., Shillington, D.J., Shore, P.J., Webb, S., Wiens, D.A., and Worthington, L.L., 2020, The Alaska Amphibious Community Seismic Experiment: Seismological Research Letters, v. 91, no. 6, p. 3054-3063, https://doi.org/10.1785/0220200189.","productDescription":"10 p.","startPage":"3054","endPage":"3063","ipdsId":"IP-119908","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382314,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164,\n 52\n ],\n [\n -148,\n 52\n ],\n [\n -148,\n 60\n ],\n [\n -164,\n 60\n ],\n [\n -164,\n 52\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Barcheck, C. Grace","contributorId":247886,"corporation":false,"usgs":false,"family":"Barcheck","given":"C.","email":"","middleInitial":"Grace","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":808569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abers, Geoffrey A.","contributorId":247887,"corporation":false,"usgs":false,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":808570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Aubreya N.","contributorId":247889,"corporation":false,"usgs":false,"family":"Adams","given":"Aubreya","email":"","middleInitial":"N.","affiliations":[{"id":37669,"text":"Colgate University","active":true,"usgs":false}],"preferred":false,"id":808571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becel, Anne","contributorId":210203,"corporation":false,"usgs":false,"family":"Becel","given":"Anne","email":"","affiliations":[{"id":38091,"text":"Lamont Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":808572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, John A. jcollins@whoi.edu","contributorId":177449,"corporation":false,"usgs":false,"family":"Collins","given":"John A.","email":"jcollins@whoi.edu","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":808573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaherty, James B.","contributorId":247893,"corporation":false,"usgs":false,"family":"Gaherty","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":808574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":808575,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Zongshan","contributorId":229000,"corporation":false,"usgs":false,"family":"Li","given":"Zongshan","email":"","affiliations":[{"id":41537,"text":"Washington University, St. Louis, MO, USA","active":true,"usgs":false}],"preferred":false,"id":808576,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moore, Ginevra","contributorId":247897,"corporation":false,"usgs":false,"family":"Moore","given":"Ginevra","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":808577,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Onyango, Evans","contributorId":247898,"corporation":false,"usgs":false,"family":"Onyango","given":"Evans","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":808578,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roland, Emily C.","contributorId":147830,"corporation":false,"usgs":false,"family":"Roland","given":"Emily C.","affiliations":[{"id":13254,"text":"University of Washington, School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":808579,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sampson, Daniel E.","contributorId":247901,"corporation":false,"usgs":false,"family":"Sampson","given":"Daniel E.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":808580,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schwartz, Susan Y.","contributorId":191205,"corporation":false,"usgs":false,"family":"Schwartz","given":"Susan","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":808581,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sheehan, Anne F 0000-0002-9629-1687","orcid":"https://orcid.org/0000-0002-9629-1687","contributorId":224234,"corporation":false,"usgs":false,"family":"Sheehan","given":"Anne","email":"","middleInitial":"F","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":808582,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shillington, Donna J.","contributorId":210202,"corporation":false,"usgs":false,"family":"Shillington","given":"Donna","email":"","middleInitial":"J.","affiliations":[{"id":38091,"text":"Lamont Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":808583,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Shore, Patrick J","contributorId":247906,"corporation":false,"usgs":false,"family":"Shore","given":"Patrick","email":"","middleInitial":"J","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":808584,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Webb, Spahr","contributorId":247907,"corporation":false,"usgs":false,"family":"Webb","given":"Spahr","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":808585,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wiens, Douglas A","contributorId":247909,"corporation":false,"usgs":false,"family":"Wiens","given":"Douglas","email":"","middleInitial":"A","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":808586,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Worthington, Lindsay L","contributorId":247912,"corporation":false,"usgs":false,"family":"Worthington","given":"Lindsay","email":"","middleInitial":"L","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":808587,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70215649,"text":"70215649 - 2020 - Toxicity of carbon dioxide to freshwater fishes: Implications for aquatic invasive species management","interactions":[],"lastModifiedDate":"2020-10-28T11:47:12.27613","indexId":"70215649","displayToPublicDate":"2020-08-19T07:33:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7179,"text":"Environmental Toxicology and Chemistry (ET&C)","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of carbon dioxide to freshwater fishes: Implications for aquatic invasive species management","docAbstract":"

Carbon dioxide (CO2) has been approved by the US Environmental Protection Agency as a new aquatic pesticide to control invasive Asian carps and other aquatic nuisance species in the United States. However, limited CO2 toxicity data could make it challenging for resource managers to characterize the potential risk to nontarget species during CO2 applications. The present study quantified the toxicity of CO2 to 2 native riverine fishes, bluegill (Lepomis macrochirus) and fathead minnow (Pimephales promelas), using 12‐h continuous flow‐through CO2 exposure at 5, 15, and 25 °C water temperatures. Resulting survival indicated that bluegill (median lethal concentration [LC50] range 91–140 mg/L CO2) were more sensitive to CO2 than fathead minnow (LC50 range 235–306 mg/L CO2) across all water temperatures. Bluegill were also more sensitive to CO2 at 5 °C (LC50 91 mg/L CO2, 95% CI 85–96 mg/L CO2) than at 25 °C (LC50 140 mg/L CO2, 95% CI 135–146 mg/L CO2). Fathead minnow showed an opposite response and were less sensitive at 5 °C (LC50 306 mg/L CO2, 95% CI 286–327 mg/L CO2) relative to 25 °C (LC50 235 mg/L CO2, 95% CI 224–246 mg/L CO2). Our results show that CO2 toxicity can differ by species and water temperature. Data from the present study may inform decisions related to the use of CO2 as a control tool. Environ Toxicol Chem 2020;39:2247–2255. Published 2020. This article is a U.S. government work and is in the public domain in the USA.

","language":"English","publisher":"Wiley","doi":"10.1002/etc.4855","usgsCitation":"Cupp, A.R., Smerud, J.R., Thomas, L.M., Waller, D.L., Smith, D.L., Erickson, R.A., and Gaikowski, M., 2020, Toxicity of carbon dioxide to freshwater fishes: Implications for aquatic invasive species management: Environmental Toxicology and Chemistry (ET&C), v. 39, no. 11, p. 2247-2255, https://doi.org/10.1002/etc.4855.","productDescription":"9 p.","startPage":"2247","endPage":"2255","ipdsId":"IP-115255","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436817,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M4VYY3","text":"USGS data release","linkHelpText":"Toxicity of carbon dioxide to two freshwater fishes data"},{"id":379795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":803062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":803063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Linnea M 0000-0002-0140-1207","orcid":"https://orcid.org/0000-0002-0140-1207","contributorId":244022,"corporation":false,"usgs":true,"family":"Thomas","given":"Linnea","email":"","middleInitial":"M","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":803064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":803065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, David L.","contributorId":192711,"corporation":false,"usgs":false,"family":"Smith","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":803066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":803067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":803068,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70219601,"text":"70219601 - 2020 - Spatial grain of adaptation is much finer than ecoregional-scale common gardens reveal","interactions":[],"lastModifiedDate":"2021-04-15T12:30:26.69112","indexId":"70219601","displayToPublicDate":"2020-08-19T07:28:43","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":"Spatial grain of adaptation is much finer than ecoregional-scale common gardens reveal","docAbstract":"

Adaptive variation among plant populations must be known for effective conservation and restoration of imperiled species and predicting their responses to a changing climate. Common‐garden experiments, in which plants sourced from geographically distant populations are grown together such that genetic differences may be expressed, have provided much insight on adaptive variation. Common‐garden experiments also form the foundation for climate‐based seed‐transfer guidelines. However, the spatial scale at which population differentiation occurs is rarely addressed, leaving a critical information gap for parameterizing seed‐transfer guidelines and assessing species’ climate vulnerability. We asked whether adaptation was evident among populations of a foundational perennial within a single “empirical” seed‐transfer zone (based on previous common‐garden findings evaluating very distant populations) but different “provisional” seed zones (groupings of areas of similar climate and are not parameterized from common‐garden data). Seedlings from three populations originating from similar conditions within an intermediate elevation were planted into gardens nearby at the same elevation, or 250–450 m higher or lower in elevation and 0.4–25 km away. Substantial variation was observed between gardens in survival (ranging 2%–99%), foliar crown volume (7.8–22.6 dm3), and reproductive effort (0%–65%), but not among the three transplanted populations. The between garden variation was inversely related to climatic differences between the gardens and seed‐source populations, specifically the site differences in maximum–minimum annual temperatures. Results suggest that substantial site‐specificity in adaptation can occur at finer scales than is accounted for in empirical seed‐transfer guidance when the guidance is derived from broadscale common‐garden studies. Being within the same empirical seed zone, geographic unit, and even within 10 km distance may not qualify as “local” in the context of seed transfer. Moving forward, designing common‐garden experiments so that they allow for testing the scale of adaptation will help in translating the resulting seed‐transfer guidance to restoration projects.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6651","usgsCitation":"Davidson, B., and Germino, M., 2020, Spatial grain of adaptation is much finer than ecoregional-scale common gardens reveal: Ecology and Evolution, v. 10, no. 18, p. 9920-9931, https://doi.org/10.1002/ece3.6651.","productDescription":"12 p.","startPage":"9920","endPage":"9931","ipdsId":"IP-119324","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":455604,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6651","text":"Publisher Index Page"},{"id":436818,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94FRKP6","text":"USGS data release","linkHelpText":"Early Establishment Patterns of 'Local' Wyoming Big Sagebrush Population in Common Gardens Along Elevational Gradient in Owyhee Mountains, Idaho"},{"id":385115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Owyhee Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.03186035156251,\n 42.50247797334869\n ],\n [\n -115.88928222656249,\n 42.50247797334869\n ],\n [\n -115.88928222656249,\n 43.476840397778936\n ],\n [\n -117.03186035156251,\n 43.476840397778936\n ],\n [\n -117.03186035156251,\n 42.50247797334869\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"18","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Davidson, Bill 0000-0003-1315-479X","orcid":"https://orcid.org/0000-0003-1315-479X","contributorId":218011,"corporation":false,"usgs":true,"family":"Davidson","given":"Bill","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","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}],"preferred":true,"id":814287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255169,"text":"70255169 - 2020 - Experimental amelioration of harsh weather speeds growth and development in a tropical montane songbird","interactions":[],"lastModifiedDate":"2024-06-13T23:47:30.891468","indexId":"70255169","displayToPublicDate":"2020-08-18T18:38:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5500,"text":"The American Naturalist","onlineIssn":"1537-5323","printIssn":" 0003-014","active":true,"publicationSubtype":{"id":10}},"title":"Experimental amelioration of harsh weather speeds growth and development in a tropical montane songbird","docAbstract":"

Organisms living at high elevations generally grow and develop more slowly than those at lower elevations. Slow montane ontogeny is thought to be an evolved adaptation to harsh environments that improves juvenile quality via physiological trade-offs. However, slower montane ontogeny may also reflect proximate influences of harsh weather on parental care and offspring development. We experimentally heated and protected nests from rain to ameliorate harsh montane weather conditions for mountain blackeyes (Chlorocharis emiliae), a montane songbird living at approximately 3,200 m asl in Malaysian Borneo. This experiment was designed to test whether cold and wet montane conditions contribute to parental care and postnatal growth and development rates at high elevations. We found that parents increased provisioning and reduced time spent warming offspring, which grew faster and departed the nest earlier compared with offspring from unmanipulated nests. Earlier departure reduces time-dependent predation risk, benefitting parents and offspring. These plastic responses highlight the importance of proximate weather contributions to broad patterns of montane ontogeny and parental care.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/710151","usgsCitation":"Mitchell, A., Boersma, J., Anthony, A., Kitayama, K., and Martin, T.E., 2020, Experimental amelioration of harsh weather speeds growth and development in a tropical montane songbird: The American Naturalist, v. 196, no. 4, https://doi.org/10.1086/710151.","ipdsId":"IP-110094","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Adam E.","contributorId":338879,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam E.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":903650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boersma, Jordan","contributorId":338881,"corporation":false,"usgs":false,"family":"Boersma","given":"Jordan","email":"","affiliations":[{"id":56376,"text":"wsu","active":true,"usgs":false}],"preferred":false,"id":903651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Anthonio","contributorId":338885,"corporation":false,"usgs":false,"family":"Anthony","given":"Anthonio","email":"","affiliations":[{"id":81198,"text":"sabah parks","active":true,"usgs":false}],"preferred":false,"id":903652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitayama, Kanehiro","contributorId":338886,"corporation":false,"usgs":false,"family":"Kitayama","given":"Kanehiro","email":"","affiliations":[{"id":81201,"text":"cer","active":true,"usgs":false}],"preferred":false,"id":903653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903649,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212507,"text":"fs20203034 - 2020 - National Land Imaging Program","interactions":[],"lastModifiedDate":"2021-06-14T19:48:27.908531","indexId":"fs20203034","displayToPublicDate":"2020-08-18T16:08:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3034","displayTitle":"National Land Imaging Program","title":"National Land Imaging Program","docAbstract":"

Changes taking place across the Earth’s land surface have the potential to affect people, economies, and the environment on a daily basis. Our Nation’s economic security and environmental vitality rely on continuous monitoring of the Earth’s continents, islands, and coastal regions to record, study, and understand land change at local, regional, and global scales. The U.S. Geological Survey’s National Land Imaging Program helps meet this need by ensuring the continuous availability of moderate-resolution satellite imagery and other remotely sensed and geospatial data.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203034","usgsCitation":"Young, S.M., 2020, National Land Imaging Program: U.S. Geological Survey Fact Sheet 2020–3034, 4 p., https://doi.org/10.3133/fs20203034.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":377618,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3034/fs20203034.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–3034"},{"id":377630,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3034/coverthb.jpg"}],"contact":"

Land Remote Sensing Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-08-18","noUsgsAuthors":false,"publicationDate":"2020-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Steven M. 0000-0002-7904-9696 steven.young.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-7904-9696","contributorId":192589,"corporation":false,"usgs":true,"family":"Young","given":"Steven M.","email":"steven.young.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":796629,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70209129,"text":"sir20205024 - 2020 - Hydrology of Haskell Lake and investigation of a groundwater contamination plume, Lac du Flambeau Reservation, Wisconsin","interactions":[],"lastModifiedDate":"2020-08-24T20:46:47.699056","indexId":"sir20205024","displayToPublicDate":"2020-08-18T15:30:18","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5024","displayTitle":"Hydrology of Haskell Lake and Investigation of a Groundwater Contamination Plume, Lac du Flambeau Reservation, Wisconsin","title":"Hydrology of Haskell Lake and investigation of a groundwater contamination plume, Lac du Flambeau Reservation, Wisconsin","docAbstract":"

Haskell Lake is a shallow, 89-acre drainage lake in the headwaters of the Squirrel River, on the Lac du Flambeau Reservation in northern Wisconsin. The lake has long been valued by the Lac du Flambeau Band of Lake Superior Chippewa Indians (LDF Tribe) for abundant wild rice and game fish. In recent decades, however, wild rice has mostly disappeared from the lake and the fishery has declined. A petroleum contamination plume discovered in the 1990s in the shallow aquifer upgradient from the northern end of the lake poses a threat to the ecological health of the lake and the aquifer, which is the sole drinking water source for nearby residents and businesses. Understanding of the lake’s hydrology is important to the LDF Tribe as they seek to restore wild rice and maintain the ecological health of the Haskell Lake/Tower Creek watershed. An improved understanding of lithology in the area of the contamination plume, documentation of a contamination pathway from groundwater in the plume source area to Haskell Lake, and an understanding of the plume extent beneath the lake are needed to advance remediation efforts. Evaluation of the fraction of groundwater discharge that is contaminated relative to the overall lake water budget is desired as a first step towards determining the extent of ecological effects from the plume.

A cooperative study between the U.S. Geological Survey and the LDF Tribe was initiated to quantify the lake water budget and the sources of water to the lake, to provide a rough estimate of the maximum quantity of groundwater discharge to the lake that may be contaminated, and to improve the conceptual understanding of the plume extent and subsurface materials in the area of contamination. The results of this study can help inform natural resource management of the Haskell Lake/Tower Creek watershed, including planned wild rice restoration and cleanup of the contaminant plume.

During 2016–17, field data on lake and groundwater levels, gradients, fluxes, and subsurface lithology were collected using a variety of techniques that ranged from basic measurement of water levels and streamflows to distributed temperature sensing, vertical temperature profiling, and several shallow geophysical methods. The data were used to inform a MODFLOW–NWT model that simulated the contributing groundwatershed, including the water budget for Haskell Lake and Tower Creek using the Lake, Streamflow-Routing, and Unsaturated Zone-Flow Packages. Particle tracking with the MODFLOW solution (using MODPATH 6) was used to improve understanding of the downgradient extent of the contamination plume, estimate groundwater flux through the plume area, and delineate the groundwater contributing area (groundwatershed) for the lake/creek system. Linear uncertainty estimates for model results were computed during model parameter estimation using the software package PEST++.

Results indicate groundwater discharge along the perimeter of Haskell Lake, with groundwater accounting for about 22 (± 11.5) percent of the lake water budget. Field data and particle tracking results indicate discharge of the entire contamination plume to Haskell Lake. Although the exact locations where contaminated groundwater enters the lake are unknown, the downgradient extent of the plume beneath Haskell Lake is likely limited to within about 700 feet from the shore. Groundwater flux through the plume accounts for at most about 1.4 percent of total groundwater discharge to Haskell Lake, or about 0.3 percent of the lake water budget. Most groundwater discharging to Haskell Lake and Tower Creek originates as terrestrial recharge. A lesser amount originates in or passes through neighboring lakes, including Buckskin, Crawling Stone, Broken Bow, Tippecanoe, and Jerms Lakes, as well as several unnamed kettles. The average age of simulated groundwater discharge to the lake is about 20 years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205024","collaboration":"Prepared in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa Indians","usgsCitation":"Leaf, A.T., and Haserodt, M.J., 2020, Hydrology of Haskell Lake and investigation of a groundwater contamination plume, Lac du Flambeau Reservation, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2020–5024, 79 p., https://doi.org/10.3133/sir20205024.","productDescription":"Report: x, 70 p.; Appendices: 1.1-10.3; Data Release; Companion Report","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098814","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":377617,"rank":14,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZQGGHY","text":"USGS 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Wisconsin, July 27–August 1, 2016"},{"id":377610,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5024/sir20205024_appendix_table_4.1.xlsx","text":"Appendix Table 4.1","size":"10.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5024 Appendix Table 4.1"},{"id":377608,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5024/sir20205024_appendix_table_2.1.xlsx","text":"Appendix Table 2.1","size":"12.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5024 Appendix Table 2.1"},{"id":377609,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5024/sir20205024_appendix_table_3.1_3.6.xlsx","text":"Appendix Tables 3.1 to 3.6","size":"24.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5024 Appendix Tables 3.1 to 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Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562 

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-08-18","noUsgsAuthors":false,"publicationDate":"2020-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haserodt, Megan J. 0000-0002-8304-090X mhaserodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-090X","contributorId":174791,"corporation":false,"usgs":true,"family":"Haserodt","given":"Megan","email":"mhaserodt@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785039,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208004,"text":"sir20205005 - 2020 - A distributed temperature sensing investigation of groundwater discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016","interactions":[],"lastModifiedDate":"2020-08-19T12:40:19.334681","indexId":"sir20205005","displayToPublicDate":"2020-08-18T14:31:27","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5005","displayTitle":"A Distributed Temperature Sensing Investigation of Groundwater Discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016","title":"A distributed temperature sensing investigation of groundwater discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016","docAbstract":"

Haskell Lake is a shallow, 89-acre drainage lake in the headwaters of the Squirrel River, on the Lac du Flambeau Reservation in northern Wisconsin. Historically, this lake was an important producer of wild rice for the Lac du Flambeau Band of Lake Superior Chippewa Indians (LDF Tribe); but, beginning in the late 1970s, the rice began to diminish and by the late 1990s, the lake no longer had harvestable stands. Restoring wild rice to Haskell Lake is a long-term priority for the LDF Tribe. A first step towards that effort is the cleanup of a petroleum-contamination plume in the shallow aquifer upgradient of the northern end of the lake. Knowledge of the downgradient extent of the plume and the locations where contaminated water is discharging to the lake is needed to inform cleanup efforts.

A cooperative study between the U.S. Geological Survey and the LDF Tribe was initiated to characterize the distribution of groundwater discharge to Haskell Lake in the areas downgradient of the contamination plume. A fiber optic distributed temperature sensing system was used to monitor temperatures at the sediment-water interface for a 7-day period in July and August 2016. Challenges during the investigation included data storage and power supply limitations, maintenance of calibration baths, accurate location of the cable in space, cable placement in weeds and soft sediment, the confounding effects of solar radiation, and contamination of the data by multiple sources of instrument noise. The problem of instrument noise was overcome by solving the fiber optic distributed temperature sensing calibration equation for two parameters that describe temporal variation in the source laser and the photon detectors that observe the backscatter. Early morning temperatures, when the influence of solar radiation via direct warming of the sediment-water interface is minimized, were used to evaluate groundwater discharge, similar to other studies. The results indicate a persistent, horizontal variation in temperature of as much as 5.5 degrees Celsius across the study area, with cooler temperatures interpreted to indicate spatially discrete preferential groundwater discharge. Results of the study can be used to determine locations for collecting lakebed pore water samples to better define the extent of contamination discharging to the lake.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205005","collaboration":"Prepared in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa Indians","usgsCitation":"Leaf, A.T., 2020, A distributed temperature sensing investigation of groundwater discharge to Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016: U.S. Geological Survey Scientific Investigations Report 2020–5005, 17 p., https://doi.org/10.3133/sir20205005.","productDescription":"Report: vi, 17 p.; Data Release; Companion Report","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-100793","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":376503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5005/coverthb.jpg"},{"id":376504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5005/sir20205005.pdf","text":"Report","size":"3.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5005"},{"id":376505,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X2OHNX","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Distributed lakebed temperature data, Haskell Lake, Lac du Flambeau Reservation, Wisconsin, July 27–August 1, 2016"},{"id":377597,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20205024","text":"SIR 2020–5024","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5024","linkHelpText":"— Hydrology of Haskell Lake and investigation of a groundwater contamination plume, Lac du Flambeau Reservation, Wisconsin"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Haskell Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.93322372436523,\n 45.89717666670996\n ],\n [\n -89.89992141723633,\n 45.89717666670996\n ],\n [\n -89.89992141723633,\n 45.920467927558576\n ],\n [\n -89.93322372436523,\n 45.920467927558576\n ],\n [\n -89.93322372436523,\n 45.89717666670996\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562 

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-08-18","noUsgsAuthors":false,"publicationDate":"2020-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780113,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70212619,"text":"70212619 - 2020 - Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning","interactions":[],"lastModifiedDate":"2020-12-14T15:58:34.267851","indexId":"70212619","displayToPublicDate":"2020-08-18T10:28:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning","docAbstract":"

Long‐distance migration presents complex conservation challenges, and migratory species often experience shortfalls in conservation due to the difficulty of identifying important locations and resources throughout the annual cycle. In order to prioritize habitats for conservation of migratory wildlife, it is necessary to understand how habitat needs change throughout the annual cycle, as well as to identify key habitat sites and features that concentrate large numbers of individuals and species. Among long‐distance migrants, sea ducks have particularly complex migratory patterns, which often include distinct post‐breeding molt sites as well as breeding, staging and wintering locations. Using a large set of individual tracking data (n = 476 individuals) from five species of sea ducks in eastern North America, we evaluated multi‐species habitat suitability and partitioning across the breeding, post‐breeding migration and molt, wintering and pre‐breeding migration seasons. During breeding, species generally occupied distinct habitat areas, with the highest levels of multi‐species overlap occurring in the Barrenlands west of Hudson Bay. Species generally preferred flatter areas closer to lakes with lower maximum temperatures relative to average conditions, but varied in distance to shore, elevation and precipitation. During non‐breeding, species overlapped extensively during winter but diverged during migration. All species preferred shallow‐water, nearshore habitats with high productivity, but varied in their relationships to salinity, temperature and bottom slope. Sea ducks selected most strongly for preferred habitats during post‐breeding migration, with high partitioning among species; however, both selection and partitioning were weaker during pre‐breeding migration. The addition of tidal current velocity, aquatic vegetation presence and bottom substrate improved non‐breeding habitat models where available. Our results highlight the utility of multi‐species, annual‐cycle habitat assessments in identifying key habitat features and periods of vulnerability in order to optimize conservation strategies for migratory wildlife.

","language":"English","publisher":"Wiley","doi":"10.1111/ecog.05003","usgsCitation":"Lamb, J.S., Paton, P.W., Osenkowski, J.E., Badzinski, S.S., Berlin, A., Bowman, T.D., Dwyer, C., Fara, L., Gilliland, S.G., Kenow, K.P., Lepage, C., Mallory, M.L., Olsen, G., Perry, M., Petrie, S.A., Savard, J.L., Savoy, L., Schummer, M.L., Spiegel, C.S., and McWilliams, S.R., 2020, Assessing year‐round habitat use by migratory sea ducks in a multi‐species context reveals seasonal variation in habitat selection and partitioning: Ecography, v. 43, no. 12, p. 1842-1858, https://doi.org/10.1111/ecog.05003.","productDescription":"17 p.","startPage":"1842","endPage":"1858","onlineOnly":"Y","ipdsId":"IP-115137","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455607,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.05003","text":"Publisher Index 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Waterfowl","active":true,"usgs":false}],"preferred":false,"id":797141,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":797142,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Savoy, Lucas","contributorId":171896,"corporation":false,"usgs":false,"family":"Savoy","given":"Lucas","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":797143,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schummer, Michael 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distribution models for projecting plant species shifts under changing climates","interactions":[],"lastModifiedDate":"2020-08-24T13:27:00.53768","indexId":"70212606","displayToPublicDate":"2020-08-18T08:21:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates","docAbstract":"

Land managers need new tools for planning novel futures due to climate change. Species distribution modeling (SDM) has been used extensively to predict future distributions of species under different climates, but their map products are often too coarse for fine-scale operational use. In this study we developed a flexible, efficient, and robust method for mapping current and future distributions and abundances of vegetation species and communities at the fine spatial resolutions that are germane to land management. First, we mapped Potential Vegetation Types (PVTs) using conventional statistical modeling techniques (Random Forests) that used bioclimatic ecosystem process and climate variables as predictors. We obtained over 50% accuracy across 13 mapped PVTs for our study area. We then applied future climate projections as climate input to the Random Forest model to generate future PVT maps, and used field data describing the occurrence of tree and non-tree species in each PVT category to model and map species distribution for current and future climate. These maps were then compared to two previous SDM mapping efforts with over 80% agreement and equivalent accuracy. Because PVTs represent the biophysical potential of the landscape to support vegetation communities as opposed to the vegetation that currently exists, they can be readily linked to climate forecasts and correlated with other, climate-sensitive ecological processes significant in land management, such as fire regimes and site productivity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.118498","usgsCitation":"Keane, R., Holsinger, L.M., and Loehman, R.A., 2020, Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates: Forest Ecology and Management, v. 477, 118498, 12 p., https://doi.org/10.1016/j.foreco.2020.118498.","productDescription":"118498, 12 p.","ipdsId":"IP-117746","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":377779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Southwest Crown of the Continent","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.31298828125,\n 48.004625021133904\n ],\n [\n -113.51074218749999,\n 47.87214396888731\n ],\n [\n -114.10400390625,\n 47.78363463526376\n ],\n [\n -114.10400390625,\n 47.368594345213374\n ],\n [\n -114.169921875,\n 46.558860303117164\n ],\n [\n -113.79638671875,\n 46.14939437647686\n ],\n [\n -113.2470703125,\n 45.36758436884978\n ],\n [\n -113.02734374999999,\n 44.63739123445585\n ],\n [\n -112.54394531249999,\n 44.465151013519616\n ],\n [\n -111.6650390625,\n 44.793530904744074\n ],\n [\n -111.07177734375,\n 45.166547157856016\n ],\n [\n -110.5224609375,\n 45.166547157856016\n ],\n [\n -110.390625,\n 45.521743896993634\n ],\n [\n -110.76416015625,\n 45.75219336063106\n ],\n [\n -111.4892578125,\n 46.057985244793024\n ],\n [\n -112.52197265625,\n 46.08847179577592\n ],\n [\n -112.8955078125,\n 46.40756396630067\n ],\n [\n -112.9833984375,\n 46.830133640447386\n ],\n [\n -113.04931640625,\n 47.41322033016902\n ],\n [\n -113.0712890625,\n 47.57652571374621\n ],\n [\n -113.0712890625,\n 47.78363463526376\n ],\n [\n -113.31298828125,\n 48.004625021133904\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"477","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keane, Robert","contributorId":187606,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","affiliations":[],"preferred":false,"id":797063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holsinger, Lisa M.","contributorId":187607,"corporation":false,"usgs":false,"family":"Holsinger","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":797064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":797065,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70212795,"text":"70212795 - 2020 - Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery","interactions":[],"lastModifiedDate":"2020-08-31T12:46:47.966694","indexId":"70212795","displayToPublicDate":"2020-08-18T07:58:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5626,"text":"Soil Systems","active":true,"publicationSubtype":{"id":10}},"title":"Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery","docAbstract":"

As acidic deposition has decreased across Eastern North America, forest soils at some sites are beginning to show reversal of soil acidification. However, the degree of recovery appears to vary and is not fully explained by deposition declines alone. To assess if other site and soil factors can help to explain degree of recovery from acid deposition, soil resampling chemistry data (8- to 24-year time interval) from 23 sites in the United States and Canada, located across 25° longitude from Eastern Maine to Western Ontario, were explored. Site and soil factors included recovery years, sulfate (SO42−) deposition history, SO42− reduction rate, C horizon pH and exchangeable calcium (Ca), O and B horizon pH, base saturation, and exchangeable Ca and aluminum (Al) at the time of the initial sampling. We found that O and B horizons that were initially acidified to a greater degree showed greater recovery and B horizon recovery was further associated with an increase in recovery years and lower initial SO42− deposition. Forest soils that seemingly have low buffering capacity and a reduced potential for recovery have the resilience to recover from the effects of previous high levels of acidic deposition. This suggests, that predictions of where forest soils acidification reversal will occur across the landscape should be refined to acknowledge the importance of upper soil profile horizon chemistry rather than the more traditional approach using only parent material characteristics.

","language":"English","publisher":"MDPI","doi":"10.3390/soilsystems4030054","issn":"2571-8789","usgsCitation":"Hazlett, P., Emilson, C., Lawrence, G.B., Fernandez, I.J., Ouimet, R., and Bailey, S., 2020, Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery: Soil Systems, v. 4, no. 3, 54, 22 p., https://doi.org/10.3390/soilsystems4030054.","productDescription":"54, 22 p.","ipdsId":"IP-120230","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":455610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/soilsystems4030054","text":"Publisher Index Page"},{"id":377978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.615234375,\n 48.719961222646276\n ],\n [\n -94.39453125,\n 45.30580259943578\n ],\n [\n -93.55957031249999,\n 41.31082388091818\n ],\n [\n -91.97753906249999,\n 37.16031654673677\n ],\n [\n -81.650390625,\n 38.92522904714054\n ],\n [\n -75.9814453125,\n 39.9434364619742\n ],\n [\n -70.3564453125,\n 41.541477666790286\n ],\n [\n -63.984375,\n 46.13417004624326\n ],\n [\n -64.599609375,\n 49.15296965617042\n ],\n [\n -79.365234375,\n 47.754097979680026\n ],\n [\n -90.615234375,\n 48.719961222646276\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hazlett, P.W.","contributorId":239646,"corporation":false,"usgs":false,"family":"Hazlett","given":"P.W.","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":797473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emilson, C.E. 0000-0002-4770-1117","orcid":"https://orcid.org/0000-0002-4770-1117","contributorId":239647,"corporation":false,"usgs":false,"family":"Emilson","given":"C.E.","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":797474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, I. J. 0000-0002-7220-2205","orcid":"https://orcid.org/0000-0002-7220-2205","contributorId":239648,"corporation":false,"usgs":false,"family":"Fernandez","given":"I.","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":797476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ouimet, R. 0000-0003-1282-2493","orcid":"https://orcid.org/0000-0003-1282-2493","contributorId":239649,"corporation":false,"usgs":false,"family":"Ouimet","given":"R.","email":"","affiliations":[{"id":47952,"text":"Quebec Ministry of Forestry, Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":797477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, S.W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":239650,"corporation":false,"usgs":false,"family":"Bailey","given":"S.W.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":797478,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70219093,"text":"70219093 - 2020 - Evolution of faulting induced by deep fluid injection, Paradox Valley, Colorado","interactions":[],"lastModifiedDate":"2021-03-23T12:56:08.731239","indexId":"70219093","displayToPublicDate":"2020-08-18T07:53:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of faulting induced by deep fluid injection, Paradox Valley, Colorado","docAbstract":"

High‐pressure fluid injection into a subhorizontal confined aquifer at 4.3–4.6 km depth induced &gt;7000\">>7000>7000 earthquakes between 1991 and 2012 within once seismically quiescent Paradox Valley in Colorado, with magnitudes up to Mw\">MwMw 3.9. Earthquake hypocenters expanded laterally away from the well with time, defining the margins of the aquifer pressurized by injection at the well. Within 5 km of the well, alignment of earthquake hypocenters defines strikes of nine vertical fault zones. Previous studies show that these fault zones predate injection, producing left‐stepping offsets in the normal faults of the Wray‐Mesa fault system that cradles Paradox Valley. Hypocenters, rakes, and strikes of 2041 well‐constrained focal mechanisms show that most injection‐related earthquakes occur where these vertical faults intersect the pressurized aquifer. Well‐defined focal mechanisms show that this induced seismicity consists of Riedel shear faults at acute angles to the strikes of these fault zones. These small faults develop an anastomosing fault structure of focal planes along each planar fault zone, as fluid injection continues, even as their hypocenters define a single planar fault zone. Failure conditions at each hypocenter are found using a fully coupled poroelastic analysis of stress induced by fluid injection, and this analysis indicates a minimum Coulomb failure condition of 0.1 MPa. This failure condition is primarily a result of aquifer pore‐fluid pressurization, as almost all well‐located seismicity is within the pressurized aquifer. Reducing the rate of injection and frequent well shutdowns in the second decade nearly eliminated induced seismicity, except very near the well where gradients in pressurization are the largest. Despite these decreases in failure conditions and seismicity, some fault zones continued to produce earthquakes larger than M 3 as injection continued.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190328","usgsCitation":"Denlinger, R.P., and Daniel R. H. O'Connell, 2020, Evolution of faulting induced by deep fluid injection, Paradox Valley, Colorado: Bulletin of the Seismological Society of America, v. 110, no. 5, p. 2308-2327, https://doi.org/10.1785/0120190328.","productDescription":"20 p.","startPage":"2308","endPage":"2327","ipdsId":"IP-099027","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Paradox Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.1162109375,\n 37.52715361723378\n ],\n [\n -107.05078125,\n 37.52715361723378\n ],\n [\n -107.05078125,\n 39.90973623453719\n ],\n [\n -109.1162109375,\n 39.90973623453719\n ],\n [\n -109.1162109375,\n 37.52715361723378\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":812708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel R. H. O'Connell","contributorId":255644,"corporation":false,"usgs":false,"family":"Daniel R. H. O'Connell","affiliations":[{"id":51626,"text":"Terra Tech, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":812709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70218014,"text":"70218014 - 2020 - Nest predation and adult mortality relationships with post-natal metabolic rates and growth among songbird species","interactions":[],"lastModifiedDate":"2021-02-15T14:24:00.293261","indexId":"70218014","displayToPublicDate":"2020-08-18T07:15:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Nest predation and adult mortality relationships with post-natal metabolic rates and growth among songbird species","docAbstract":"

Metabolism is thought to mediate the connection between environmental selection pressures and a broad array of life history tradeoffs, but tests are needed. High juvenile predation correlates with fast growth, which may be achieved via fast juvenile metabolism. Fast offspring metabolism and growth can create physiological costs later in life that should be minimized in species with low adult mortality. Yet, relationships between juvenile metabolism and mortality at offspring versus adult stages are unexplored. We found that post-natal metabolism was positively correlated with adult mortality but not nest predation rates among 43 songbird species on three continents. Nest predation, but not adult mortality, explained additional variation in growth rates beyond metabolism. Our results suggest that metabolism may not be the mechanism underlying the relationships between growth and mortality at different life stages.


","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.226563","usgsCitation":"Ton, R., and Mitchell, M.S., 2020, Nest predation and adult mortality relationships with post-natal metabolic rates and growth among songbird species: Journal of Experimental Biology, v. 223, jeb226563, https://doi.org/10.1242/jeb.226563.","productDescription":"jeb226563","ipdsId":"IP-087160","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":455615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.226563","text":"Publisher Index Page"},{"id":383251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","noUsgsAuthors":false,"publicationDate":"2020-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ton, Riccardo","contributorId":250680,"corporation":false,"usgs":false,"family":"Ton","given":"Riccardo","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":810225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":810224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}