{"pageNumber":"483","pageRowStart":"12050","pageSize":"25","recordCount":184553,"records":[{"id":70221696,"text":"70221696 - 2021 - Climate impacts on source contributions and evaporation to flow in the Snake River Basin using surface water isoscapes (δ2H and δ18O)","interactions":[],"lastModifiedDate":"2021-08-03T16:30:43.499524","indexId":"70221696","displayToPublicDate":"2021-06-21T09:50:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Climate impacts on source contributions and evaporation to flow in the Snake River Basin using surface water isoscapes (δ2H and δ18O)","title":"Climate impacts on source contributions and evaporation to flow in the Snake River Basin using surface water isoscapes (δ2H and δ18O)","docAbstract":"

Rising global temperatures are expected to decrease the precipitation amount that falls as snow, causing greater risk of water scarcity, groundwater overdraft, and fire in areas that rely on mountain snowpack for their water supply. Streamflow in large river basins varies with the amount, timing, and type of precipitation, evapotranspiration, and drainage properties of watersheds; however, these controls vary in time and space making it difficult to identify the areas contributing most to flow and when. In this study, we separate the evaporative influences from source values of water isotopes from the Snake River Basin in the western United States (US) to relate source area to flow dynamics. We developed isoscapes (δ2H and δ18O) for the basin and found that isotopic composition of surface water in small watersheds is primarily controlled by longitude, latitude, and elevation. To examine temporal variability in source contributions to flow, we present a six-year record of Snake River water isotopes from King Hill, Idaho after removing evaporative influences. During periods of low flow, source water values were isotopically lighter indicating a larger contribution to flow from surface waters in the highest elevation, eastern portion of the basin. River evaporation increases were evident during summer likely reflecting climate, changing water availability, and management strategies within the basin. Our findings present a potential tool for identifying critical portions of basins contributing to river flow as climate fluctuations alter flow dynamics. This tool can be applied in other continental-interior basins where evaporation may obscure source water isotopic signatures.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR029157","usgsCitation":"Windler, G., Brooks, J.R., Johnson, H.M., Comeleo, R., Coulombe, R., and Bowen, G.J., 2021, Climate impacts on source contributions and evaporation to flow in the Snake River Basin using surface water isoscapes (δ2H and δ18O): Water Resources Research, v. 57, no. 7, e2020WR029157, 15 p., https://doi.org/10.1029/2020WR029157.","productDescription":"e2020WR029157, 15 p.","ipdsId":"IP-122721","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":451798,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8328002","text":"External Repository"},{"id":386865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, Wyoming","otherGeospatial":"Snake River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.73999023437499,\n 42.16340342422401\n ],\n [\n -109.742431640625,\n 42.16340342422401\n ],\n [\n -109.742431640625,\n 45.78284835197676\n ],\n [\n -119.73999023437499,\n 45.78284835197676\n ],\n [\n -119.73999023437499,\n 42.16340342422401\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Windler, Grace","contributorId":260666,"corporation":false,"usgs":false,"family":"Windler","given":"Grace","email":"","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":818451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, J. Renee","contributorId":176587,"corporation":false,"usgs":false,"family":"Brooks","given":"J.","email":"","middleInitial":"Renee","affiliations":[],"preferred":false,"id":818452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Comeleo, Randy","contributorId":217974,"corporation":false,"usgs":false,"family":"Comeleo","given":"Randy","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":818454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coulombe, Rob","contributorId":260667,"corporation":false,"usgs":false,"family":"Coulombe","given":"Rob","email":"","affiliations":[{"id":52638,"text":"Pacific Ecological Systems Division, Center for Public Health and Environmental Assessment Office of Research and Development, U.S. Environmental Protection Agency, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":818455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Gabriel J.","contributorId":138889,"corporation":false,"usgs":false,"family":"Bowen","given":"Gabriel","email":"","middleInitial":"J.","affiliations":[{"id":12566,"text":"Department of Geology and Geophysics, Unviersity of Utah","active":true,"usgs":false}],"preferred":false,"id":818456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221489,"text":"cir1479 - 2021 - The North American Breeding Bird Survey in Mexico, 2008 to 2018—A status report","interactions":[],"lastModifiedDate":"2021-06-21T17:42:27.497155","indexId":"cir1479","displayToPublicDate":"2021-06-21T08:55:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1479","displayTitle":"The North American Breeding Bird Survey in Mexico, 2008 to 2018—A Status Report","title":"The North American Breeding Bird Survey in Mexico, 2008 to 2018—A status report","docAbstract":"

Collection of avian population data has repeatedly been identified as a high priority for bird conservation in Mexico. To meet this need, in 2008 the North American Breeding Bird Survey (BBS), a volunteer-based survey, was expanded to include northern Mexico. The BBS in Mexico (Mexican BBS) is managed by the North American Bird Conservation Initiative (NABCI), Mexico’s National Coordination Office inside the Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO).

During 2008–18, 252 surveys were conducted along 68 routes in Mexico, with geographic coverage varying from year to year. Of these 68 routes, 36 were surveyed three or more times. Thirty-one observers conducted the surveys, and 21 of these observers conducted two or more surveys. Just two observers conducted more than one-third of the 252 surveys, and both observers were paid to conduct the surveys. The low availability of local observers who are qualified, willing, and able to volunteer their services to conduct BBS surveys may prove to be the biggest obstacle to the success of the Mexican BBS program, especially in the context of Mexico’s ongoing safety and security concerns.

Apart from the amount of data collected, many surveys did not adhere to pre-established quality-control requirements, and this would result in the exclusion of a large percentage of the data from potential trend analyses. Only 31 percent of the surveys met all the quality-control criteria. Additional observer training may help resolve this issue. Of greater concern is the selection of region-specific sampling date windows during which the surveys are conducted. Observers consistently conducted surveys outside the preliminarily prescribed sampling date window, reflecting the need to re-evaluate the regional appropriateness of this date window.

Regardless of the quality of the data, the quantity of data available from 2008 to 2018 is insufficient for trend analysis using methods typically employed by U.S. Geological Survey BBS analysts. Reaching minimum sample size thresholds for statistical analysis will require a substantial increase in effort. During 2008–18, no strata (defined as the intersection of State and Bird Conservation Region boundaries) reached the suggested minimum of 14 sampled routes, and most routes were not run consistently.

This report provides information needed for an evaluation of the merits of continuing to invest in the Mexican BBS program in its current form. Such an evaluation should consider the likelihood of achieving the primary project goal of producing reliable long-term population trend estimates, a projected timeline for meeting this goal, and include an assessment of the potential value of any additional data products.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1479","usgsCitation":"U.S. Geological Survey and Mexican National Commission for the Knowledge and Use of Biodiversity, 2021, The North American Breeding Bird Survey in Mexico, 2008 to 2018—A Status Report: U.S. Geological Survey Circular 1479, 33 p., https://doi.org/10.3133/cir1479.","productDescription":"Report: v, 33 p.; Data Release","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-120948","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":436297,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L4KBDC","text":"USGS data release","linkHelpText":"The North American Breeding Bird Survey in Mexico, 2008-2018 - unprocessed data"},{"id":386569,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1479/cir1479.pdf","text":"Report","size":"14.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1479"},{"id":386568,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1479/coverthb.jpg"},{"id":386570,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://www.doi.org/10.5066/P9L4KBDC","text":"USGS data release","linkHelpText":"The North American Breeding Bird Survey in Mexico, 2008–2018—unprocessed data"}],"country":"Mexico","state":"Baja California, Baja California Sur, Chihuahua, Coahuila, Nuevo Leon, Sonora, Tamaulipas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.09423828125,\n 26.303264239389534\n ],\n [\n -108.336181640625,\n 27.049341619870376\n ],\n [\n -108.17138671875,\n 26.83387451505858\n ],\n [\n -107.808837890625,\n 26.185018250078308\n ],\n [\n -106.61132812499999,\n 25.54244147012483\n ],\n [\n -106.051025390625,\n 26.814266197561462\n ],\n [\n -104.501953125,\n 26.322960198925365\n ],\n [\n -104.21630859375,\n 26.775039386999605\n ],\n [\n -103.370361328125,\n 26.56887654795065\n ],\n [\n -103.436279296875,\n 25.3241665257384\n ],\n [\n -102.908935546875,\n 24.716895455859337\n ],\n [\n -102.469482421875,\n 25.06569718553588\n ],\n [\n -101.898193359375,\n 24.986058021167594\n ],\n [\n -100.74462890625,\n 24.5271348225978\n ],\n [\n -100.404052734375,\n 23.200960808078566\n ],\n [\n -100.1953125,\n 23.271627053918277\n ],\n [\n -100.08544921874999,\n 22.806567100271522\n ],\n [\n -99.42626953125,\n 22.664709810176827\n ],\n [\n -98.909912109375,\n 22.31958944283391\n ],\n [\n -98.63525390624999,\n 22.370396344320053\n ],\n [\n -98.184814453125,\n 22.451648819126202\n ],\n [\n -97.7947998046875,\n 22.17214491738176\n ],\n [\n -97.7288818359375,\n 24.307053283225915\n ],\n [\n -97.38830566406249,\n 25.18505888358067\n ],\n [\n -97.1246337890625,\n 25.962983554822678\n ],\n [\n -97.37182617187499,\n 25.86416657624641\n ],\n [\n -97.7398681640625,\n 26.03704188651584\n ],\n [\n -98.2342529296875,\n 26.046912801683984\n ],\n [\n -99.085693359375,\n 26.441065564038418\n ],\n [\n -99.50866699218749,\n 27.36201054924028\n ],\n [\n -99.51416015625,\n 27.581329075043357\n ],\n [\n -100.579833984375,\n 28.7965462417692\n ],\n [\n -101.4532470703125,\n 29.76437737516313\n ],\n [\n -102.32666015625,\n 29.854937397596693\n ],\n [\n -102.623291015625,\n 29.72145191669099\n ],\n [\n -103.216552734375,\n 28.98411731593083\n ],\n [\n -104.249267578125,\n 29.501768632523262\n ],\n [\n -104.5513916015625,\n 29.625996273660785\n ],\n [\n -104.6832275390625,\n 30.178373310707887\n ],\n [\n -105.0018310546875,\n 30.680439786468128\n ],\n [\n -106.46301269531249,\n 31.765537409484374\n ],\n [\n -106.5673828125,\n 31.770207631866715\n ],\n [\n -108.1988525390625,\n 31.774877618507386\n ],\n [\n -108.204345703125,\n 31.320794146937374\n ],\n [\n -111.0443115234375,\n 31.325486676506983\n ],\n [\n -114.466552734375,\n 32.37996146435729\n ],\n [\n -114.81811523437501,\n 32.509761735919426\n ],\n [\n -114.71923828124999,\n 32.72721987021932\n ],\n [\n -117.13623046874999,\n 32.54218257955074\n ],\n [\n -117.10876464843749,\n 32.29177633471201\n ],\n [\n -116.73522949218751,\n 31.81689688674699\n ],\n [\n -116.75170898437501,\n 31.63467554954133\n ],\n [\n -116.53198242187499,\n 31.245681880715527\n ],\n [\n -115.64208984374999,\n 29.616445727622548\n ],\n [\n -115.6640625,\n 27.737022779516813\n ],\n [\n -113.25256347656249,\n 26.115985925333536\n ],\n [\n -111.68701171875,\n 23.83560098662095\n ],\n [\n -109.8687744140625,\n 22.71032284205226\n ],\n [\n -109.2041015625,\n 23.427968862308678\n ],\n [\n -110.54443359375,\n 25.27450351782018\n ],\n [\n -109.434814453125,\n 26.367263860129366\n ],\n [\n -109.09423828125,\n 26.303264239389534\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-06-21","noUsgsAuthors":false,"publicationDate":"2021-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":817834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mexican National Commission for the Knowledge and Use of Biodiversity","contributorId":260392,"corporation":true,"usgs":false,"organization":"Mexican National Commission for the Knowledge and Use of Biodiversity","id":817835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221665,"text":"70221665 - 2021 - Demography of the Oregon spotted frog along a hydrologically modified river","interactions":[],"lastModifiedDate":"2021-06-28T13:11:52.477181","indexId":"70221665","displayToPublicDate":"2021-06-21T08:07:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Demography of the Oregon spotted frog along a hydrologically modified river","docAbstract":"

Altered flow regimes can contribute to dissociation between life history strategies and environmental conditions, leading to reduced persistence reported for many wildlife populations inhabiting regulated rivers. The Oregon spotted frog (Rana pretiosa) is a threatened species occurring in floodplains, ponds, and wetlands in the Pacific Northwest with a core range in Oregon, USA. All life stages of R. pretiosa are reliant on aquatic habitats, and inundation patterns across the phenological timeline can have implications for population success. We conducted capture–mark–recapture (CMR) sampling of adult and subadult R. pretiosa at three sites along the Deschutes River downstream from two dams that regulate flows. We related the seasonal extent of inundated habitat at each site to monthly survival probabilities using a robust design CMR model. We also developed matrix projection models to simulate population dynamics into the future under current river flows. Monthly survival was strongly associated with the extent and variability of inundated habitat, suggesting some within-season fluctuations at higher water levels could be beneficial. Seasonal survival was lowest in the winter for all three sites, owing to limited water availability and the greater number of months within this season relative to other seasons. Population growth for the two river-connected sites was most strongly linked to adult survival, whereas population growth at the river-disconnected site was most strongly tied to survival in juvenile stages. This research identifies population effects of seasonally limited water and highlights conservation potential of enhancing survival of particularly influential life stages.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3634","usgsCitation":"Rowe, J., Duarte, A., Pearl, C., McCreary, B., Haggerty, P., Jones, J., and Adams, M.J., 2021, Demography of the Oregon spotted frog along a hydrologically modified river: Ecosphere, v. 12, no. 6, e03634, 20 p., https://doi.org/10.1002/ecs2.3634.","productDescription":"e03634, 20 p.","ipdsId":"IP-121719","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488857,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3634","text":"Publisher Index Page"},{"id":436298,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R1S1BD","text":"USGS data release","linkHelpText":"Capture-mark-recapture data for Oregon spotted frogs (Rana pretiosa) along the Deschutes River, Oregon, 2016-2019"},{"id":386787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Deschutes River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.88507080078125,\n 43.42699324866588\n ],\n [\n -121.03637695312499,\n 43.42699324866588\n ],\n [\n -121.03637695312499,\n 44.23536047945612\n ],\n [\n -121.88507080078125,\n 44.23536047945612\n ],\n [\n -121.88507080078125,\n 43.42699324866588\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@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":818387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":818388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":818389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":818390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haggerty, Patricia 0000-0003-0834-8143","orcid":"https://orcid.org/0000-0003-0834-8143","contributorId":202970,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":818391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":818392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":818393,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223179,"text":"70223179 - 2021 - Endophytic bacteria in grass crop growth promotion and biostimulation","interactions":[],"lastModifiedDate":"2021-08-17T13:00:57.404701","indexId":"70223179","displayToPublicDate":"2021-06-21T07:58:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9145,"text":"Grass Research","active":true,"publicationSubtype":{"id":10}},"title":"Endophytic bacteria in grass crop growth promotion and biostimulation","docAbstract":"

Plants naturally carry microbes on seeds and within seeds that may facilitate development and early survival of seedlings. Some crops have lost seed-vectored microbes in the process of domestication or during seed storage and seed treatment. Biostimulant microbes from wild plants were used by pre-modern cultures to re-acquire beneficial seed microbes. Today  some companies have developed or are developing the use of microbes obtained from soils or plant sources to stimulate plant development and growth. Many of these biostimulant microbes are endophytic in plants. Biostimulant products also include humic substances, which appear to function as signal molecules in plants, triggering increased internalization of soil microbes into root cells and tissues. In addition, protein coatings on seeds fuel the growth of seed surface-vectored microbes, increasing microbial activity around and within roots. In this article, we provide evidence of the endophytic nature of many biostimulant microbes, and suggest that many of the beneficial effects of microbial biostimulants stem from their action as endophytes or as participants or stimulants of rhizophagy cycle activity.

","language":"English","publisher":"Maxa Press","doi":"10.48130/GR-2021-0005","usgsCitation":"White, J., Chang, X., Kingsley, K.L., Zhang, Q., Chiaranunt, P., Micci, A., Velazquez, F., Elmore, M.T., Crane, S., Li, S., Lu, J., Cobos, M.M., Gonzalez-Benitez, N., Beltran-Garcia, M.J., and Kowalski, K., 2021, Endophytic bacteria in grass crop growth promotion and biostimulation: Grass Research, v. 1, 5, 9 p., https://doi.org/10.48130/GR-2021-0005.","productDescription":"5, 9 p.","ipdsId":"IP-119559","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451802,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.48130/gr-2021-0005","text":"Publisher Index Page"},{"id":436299,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NBXGFY","text":"USGS data release","linkHelpText":"Data collected to support research on grass crop growth promotion and biostimulation by endophytic bacteria"},{"id":387987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, James F.","contributorId":207914,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":821266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Xiaoqian","contributorId":264267,"corporation":false,"usgs":false,"family":"Chang","given":"Xiaoqian","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":821267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers 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Shanjia","contributorId":264282,"corporation":false,"usgs":false,"family":"Li","given":"Shanjia","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":821275,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lu, Jiaxin","contributorId":264284,"corporation":false,"usgs":false,"family":"Lu","given":"Jiaxin","email":"","affiliations":[{"id":54420,"text":"Nanjing Agricultural University","active":true,"usgs":false}],"preferred":false,"id":821276,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cobos, Maria Molina","contributorId":264285,"corporation":false,"usgs":false,"family":"Cobos","given":"Maria","email":"","middleInitial":"Molina","affiliations":[{"id":54423,"text":"Universidad Rey Juan Carlos","active":true,"usgs":false}],"preferred":false,"id":821277,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gonzalez-Benitez, Natalia","contributorId":264286,"corporation":false,"usgs":false,"family":"Gonzalez-Benitez","given":"Natalia","email":"","affiliations":[{"id":54423,"text":"Universidad Rey Juan Carlos","active":true,"usgs":false}],"preferred":false,"id":821278,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Beltran-Garcia, Miguel J","contributorId":264287,"corporation":false,"usgs":false,"family":"Beltran-Garcia","given":"Miguel","email":"","middleInitial":"J","affiliations":[{"id":54424,"text":"Autonomous University of Guadalajara","active":true,"usgs":false}],"preferred":false,"id":821279,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":821280,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70224309,"text":"70224309 - 2021 - Resilience to fire and resistance to annual grass invasion in sagebrush ecosystems of US National Parks","interactions":[],"lastModifiedDate":"2021-09-21T12:44:23.117321","indexId":"70224309","displayToPublicDate":"2021-06-21T07:40:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Resilience to fire and resistance to annual grass invasion in sagebrush ecosystems of US National Parks","docAbstract":"

Western North American sagebrush shrublands and steppe face accelerating risks from fire-driven feedback loops that transition these ecosystems into self-reinforcing states dominated by invasive annual grasses. In response, sagebrush conservation decision-making is increasingly done through the lens of resilience to fire and annual grass invasion resistance. Operationalizing resilience and resistance concepts requires place-based understanding of resilience and resistance variation among landscapes over time. Place-based insights allow for landscape prioritization in targeted areas of significance such as protected-area sagebrush ecosystems that exhibit inherently low resilience and are therefore at high risk of loss. We used a multi-scale approach to evaluate sagebrush resiliency and strategic planning across 1) the US National Park system, 2) a regional suite of five parks, and 3) for two specific park case studies. First, we summarized broad patterns of relative resilience to fire and resistance to annual grass invasion across all parks with sagebrush ecosystems. We found that national parks represented ~11% of US protected-area sagebrush ecosystems and reflected a similar low-resilience bias that occurs across the biome, broadly. Climate change is likely to shift both low- and high-resilience park sagebrush ecosystems towards moderate resiliency, creating new opportunities and constraints for park conservation. Approximately seventy park units include at least some sagebrush shrublands or steppe, but we identified 40 parks with substantial amounts (>20% of park area) that can be included in an agency-wide conservation strategy. Second, we examined detailed patterns of resilience and resistance, fire history and fire risk, cheatgrass (Bromus tectorum) invasion, and sagebrush shrub (Artemisia spp.) persistence in five national park units in Columbia Basin and Snake River Plain sagebrush steppe, contextualized by the broader summary. In these five parks, fire frequency and size increased in recent decades. Cheatgrass invasion and sagebrush persistence correlated strongly with resilience, burn frequency (0–3 fires since ~1940), and burn probability, but with important variation, in part mediated by local-scale topography. Third, we used these insights to assemble strategic sagebrush ecosystem fire protection mapping scenarios in two additional parks – Lava Beds National Monument and Great Basin National Park. Readily available and periodically updated geospatial data including soil surveys, fire histories, vegetation inventories, and long-term monitoring support resiliency-based adaptive management through tactical planning of pre-fire protection, post-fire restoration, and triage. Our assessment establishes the precarious importance of the US national park system to sagebrush ecosystem conservation and an operational strategy for place-based and science-supported conservation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01689","usgsCitation":"Rodhouse, T., Lonneker, J., Bowersock, L., Popp, D., Thompson, J., Dicus, G., and Irvine, K.M., 2021, Resilience to fire and resistance to annual grass invasion in sagebrush ecosystems of US National Parks: Global Ecology and Conservation, v. 28, e01689, 15 p., https://doi.org/10.1016/j.gecco.2021.e01689.","productDescription":"e01689, 15 p.","ipdsId":"IP-125654","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":451806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01689","text":"Publisher Index Page"},{"id":389535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, Washington, 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Quinebaug-Marlboro belt and implications for the history of Ganderian crustal fragments in southeastern New England, USA","docAbstract":"

Crustal fragments underlain by high-grade rocks represent a challenge to plate reconstructions, and integrated mapping, geochronology, and geochemistry enable the unravelling of the temporal and spatial history of exotic crustal blocks. The Quinebaug-Marlboro belt (QMB) is an enigmatic fragment on the trailing edge of the peri-Gondwanan Ganderian margin of southeastern New England. SHRIMP U-Pb geochronology and geochemistry indicate the presence of Ediacaran to Cambrian metamorphosed volcanic and intrusive rocks dated for the first time between ca. 540–500 Ma. The entire belt may preserve a cryptic, internal stratigraphy that is truncated by subsequent faulting. Detrital zircons from metapelite in the overlying Nashoba and Tatnic Hill Formations indicate deposition between ca. 485–435 Ma, with provenance from the underlying QMB or Ganderian crust. The Preston Gabbro (418 ± 3 Ma) provides a minimum age for the QMB. Mafic rocks are tholeiitic with trace elements that resemble arc and E-MORB sources, and samples with negative Nb-Ta anomalies are similar to arc-like rocks, but others show no negative Nb-Ta anomaly and are similar to rocks from E-MORB to OIB or backarc settings. Geochemistry points to a mixture of sources that include both mantle and continental crust. Metamorphic zircon, monazite, and titanite ages range from 400 to 305 Ma and intrusion of granitoids and migmatization occurred between 410 and 325 Ma. Age and chemistry support correlations with the Ellsworth terrane in Maine and the Penobscot arc and backarc system in Maritime Canada. The arc-rifting zone where the Mariana arc and the Mariana backarc basin converge is a possible modern analog.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02295.1","usgsCitation":"Walsh, G., Aleinikoff, J.N., Ayuso, R.A., and Wintsch, R.P., 2021, Age and tectonic setting of the Quinebaug-Marlboro belt and implications for the history of Ganderian crustal fragments in southeastern New England, USA: Geosphere, v. 4, no. 1, p. 1038-1100, https://doi.org/10.1130/GES02295.1.","productDescription":"63 p.","startPage":"1038","endPage":"1100","ipdsId":"IP-106959","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":451810,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02295.1","text":"Publisher Index Page"},{"id":388828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts, Rhode Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.0650634765625,\n 42.60970621339408\n ],\n [\n -71.0540771484375,\n 42.67839711889055\n ],\n [\n -71.1474609375,\n 42.71069600569497\n ],\n [\n -71.25732421875,\n 42.73087427928485\n ],\n [\n -71.5155029296875,\n 42.60970621339408\n ],\n [\n -71.7626953125,\n 42.45183466943919\n ],\n [\n -71.9989013671875,\n 42.232584749313325\n ],\n [\n -72.125244140625,\n 42.07783959017503\n ],\n [\n -72.18017578125,\n 41.902277040963696\n ],\n [\n -72.2900390625,\n 41.6195489884308\n ],\n [\n -72.24609375,\n 41.43860847395721\n ],\n [\n -72.1142578125,\n 41.36444153054222\n ],\n [\n -71.9769287109375,\n 41.47977575214487\n ],\n [\n -71.883544921875,\n 41.701627343789205\n ],\n [\n -71.795654296875,\n 41.95949009892467\n ],\n [\n -71.78466796874999,\n 42.02889410108475\n ],\n [\n -71.47705078125,\n 42.313877566161864\n ],\n [\n -71.0650634765625,\n 42.60970621339408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":822528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":822530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wintsch, Robert P.","contributorId":192913,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":822531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225623,"text":"70225623 - 2021 - Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)","interactions":[],"lastModifiedDate":"2021-10-28T11:34:55.510363","indexId":"70225623","displayToPublicDate":"2021-06-21T06:32:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS)","docAbstract":"

Imperfect detection is an important problem when counting wildlife, but new technologies such as unmanned aerial systems (UAS) can help overcome this obstacle. We used data collected by a UAS and a Bayesian closed capture-mark-recapture model to estimate abundance and distribution while accounting for imperfect detection of aggregated Florida manatees (Trichechus manatus latirostris) at thermal refuges to assess use of current and new warmwater sources in winter. Our UAS hovered for 10 min and recorded 4 K video over sites in Collier County, FL. Open-source software was used to create recapture histories for 10- and 6-min time periods. Mean estimates of probability of detection for 1-min intervals at each canal varied by survey and ranged between 0.05 and 0.92. Overall, detection probability for sites varied between 0.62 and 1.00 across surveys and length of video (6 and 10 min). Abundance varied by survey and location, and estimates indicated that distribution changed over time, with use of the novel source of warmwater increasing over time. The highest cumulative estimate occurred in the coldest winter, 2018 (N = 158, CI 141–190). Methods here reduced survey costs, increased safety and obtained rigorous abundance estimates at aggregation sites previously too difficult to monitor.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-021-92437-z","usgsCitation":"Edwards, H.H., Hostetler, J.A., Stith, B.M., and Martin, J., 2021, Monitoring abundance of aggregated animals (Florida manatees) using an unmanned aerial system (UAS): Scientific Reports, v. 11, 12920, 12 p., https://doi.org/10.1038/s41598-021-92437-z.","productDescription":"12920, 12 p.","ipdsId":"IP-119558","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451812,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-92437-z","text":"Publisher Index Page"},{"id":391080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.7547607421875,\n 25.329131707091477\n ],\n [\n -80.88409423828125,\n 25.329131707091477\n ],\n [\n -80.88409423828125,\n 26.046912801683984\n ],\n [\n -81.7547607421875,\n 26.046912801683984\n ],\n [\n -81.7547607421875,\n 25.329131707091477\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Edwards, Holly H","contributorId":268157,"corporation":false,"usgs":false,"family":"Edwards","given":"Holly","email":"","middleInitial":"H","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":825977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Jeffrey A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":190248,"corporation":false,"usgs":false,"family":"Hostetler","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":825978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stith, Bradley M","contributorId":268158,"corporation":false,"usgs":false,"family":"Stith","given":"Bradley","email":"","middleInitial":"M","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":825979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":825980,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228605,"text":"70228605 - 2021 - Estimating abundance and simulating fertility control in feral burros","interactions":[],"lastModifiedDate":"2022-02-14T17:43:24.130175","indexId":"70228605","displayToPublicDate":"2021-06-20T11:25:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance and simulating fertility control in feral burros","docAbstract":"Overabundant populations of feral equids are negatively impacting rangelands in the western United States. To effectively manage these populations, robust estimates of abundance and demography are necessary, as well as cost-effective methods of reducing abundance. We used a double-observer-sightability aerial survey method to estimate the number of feral burros (Equus asinus) occupying the Fort Irwin National Training Center (NTC), California, USA. We examined the efficacy of using porcine zona pellucida (PZP) immunocontraception as a control agent and used matrix population models to simulate how changes in demographic rates would influence abundance. We estimated there were 690 (CI: 618–752) feral burros within the surveyed area, but these are part of a much larger population that is not geographically isolated from those in the survey area. Sighting probabilities ranged from 0.19–0.98 and were most strongly influenced by distance from observer and group size. We estimated age-specific demographic rates at the NTC and compiled mean rates across burro populations in arid environments from the literature. Mean fecundity varied from 0.17 to 0.58 foals per adult female with younger females having lower fecundity. Mean survival was 0.90 for foals, 0.98 for yearlings, and 0.96 for adults. PZP vaccine treatment strategies that suppressed fertility for up to 10 years, predicted that burro abundance would be reduced by 67–88% after 15 years (compared with no treatment), but none of these strategies resulted in population extirpation. Our fieldwork also highlights the difficulty of administering PZP vaccination to large, free-ranging animals. Burro growth rates shifted from increasing to decreasing at adult survival rates below 0.84 and the population was predicted to become extirpated when adult survival declined below 0.60. In the absence of other methods to reduce burro numbers, our findings indicate that current formulations of PZP immunocontraception, which require multiple doses, would be inadequate for controlling population growth rates at the NTC and perhaps elsewhere. Development of longer-term fertility reduction agents and/or more efficient vaccine delivery techniques would likely improve the efficacy of fertility control for overabundant ungulate populations. Lack of geographic closure (physical barriers to migration) further complicates management efforts to reduce burro numbers.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22058","usgsCitation":"Gedir, J., Cain, J.W., Lubow, B., Karish, T., Delaney, D.K., and Roemer, G., 2021, Estimating abundance and simulating fertility control in feral burros: Journal of Wildlife Management, v. 85, no. 6, p. 1187-1199, https://doi.org/10.1002/jwmg.22058.","productDescription":"13 p.","startPage":"1187","endPage":"1199","ipdsId":"IP-117664","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center, Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.77505493164062,\n 35.31736632923788\n ],\n [\n -116.444091796875,\n 35.31736632923788\n ],\n [\n -116.444091796875,\n 35.44836479904722\n ],\n [\n -116.77505493164062,\n 35.44836479904722\n ],\n [\n -116.77505493164062,\n 35.31736632923788\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gedir, Jay V.","contributorId":276327,"corporation":false,"usgs":false,"family":"Gedir","given":"Jay V.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":834760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubow, Bruce C.","contributorId":276328,"corporation":false,"usgs":false,"family":"Lubow","given":"Bruce C.","affiliations":[{"id":56958,"text":"iif","active":true,"usgs":false}],"preferred":false,"id":834761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karish, Talesha","contributorId":276329,"corporation":false,"usgs":false,"family":"Karish","given":"Talesha","email":"","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":834762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delaney, David K.","contributorId":276330,"corporation":false,"usgs":false,"family":"Delaney","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":56959,"text":"usarmy","active":true,"usgs":false}],"preferred":false,"id":834763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roemer, Gary W.","contributorId":276331,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary W.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":834764,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221588,"text":"70221588 - 2021 - Permafrost thaw in northern peatlands: Rapid changes in ecosystem and landscape functions","interactions":[],"lastModifiedDate":"2021-06-24T15:00:39.43462","indexId":"70221588","displayToPublicDate":"2021-06-20T09:58:19","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Permafrost thaw in northern peatlands: Rapid changes in ecosystem and landscape functions","docAbstract":"

Peatlands within the northern permafrost region cover approximately 2 million km2 and are characterized by organic soils that can be several meters thick, and a fine-scale mosaic of permafrost and non-permafrost landforms interspersed by shallow ponds and lakes. Ongoing permafrost thaw is transforming these peatlands, causing abrupt changes to their morphology, hydrology, ecology, and biogeochemistry. In this review we show how changes to individual peatlands depend on both their Holocene developmental history and their location within current permafrost zones. Permafrost thaw in peatlands often leads to land surface collapse between 0.5 and 5 m, the so-called thermokarst. Thermokarst in peatlands can lead to the development of ice-wedge troughs, waterlogged thermokarst bogs and fens, and the initiation, expansion, and drainage of thermokarst lakes. Permafrost thaw in peatlands can thus completely alter vegetation composition and shift patterns of landscape inundation and hydrological connectivity. These changes in turn have implications for magnitude and timing of runoff, downstream water quality, habitat suitability for birds and larger mammals, traditional land-use, and the exchange of greenhouse gases with the atmosphere. Ongoing permafrost thaw is largely irreversible at relevant human time-scales, and peatland thermokarst has been accelerating over the last few decades. Complete permafrost loss is expected this century for peatlands in relatively warmer permafrost zones, and all peatlands in the northern permafrost region will be profoundly transformed by permafrost thaw.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystem collapse and climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-71330-0_3","usgsCitation":"Olefeldt, D., Hefferman, L., Jones, M.C., Sannel, A.B., Treat, C.C., and Turetsky, M.R., 2021, Permafrost thaw in northern peatlands: Rapid changes in ecosystem and landscape functions, chap. of Ecosystem collapse and climate change, p. 27-67, https://doi.org/10.1007/978-3-030-71330-0_3.","productDescription":"41 p.","startPage":"27","endPage":"67","ipdsId":"IP-112928","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":386702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":818208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hefferman, Liam","contributorId":260626,"corporation":false,"usgs":false,"family":"Hefferman","given":"Liam","email":"","affiliations":[],"preferred":false,"id":818223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":818209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sannel, A. Britta","contributorId":260622,"corporation":false,"usgs":false,"family":"Sannel","given":"A.","email":"","middleInitial":"Britta","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":818210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":818211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":818212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259578,"text":"70259578 - 2021 - Magnetic surveys with unmanned aerial systems: Software for assessing and comparing the accuracy of different sensor systems, suspension designs and compensation methods","interactions":[],"lastModifiedDate":"2024-10-15T11:12:04.418475","indexId":"70259578","displayToPublicDate":"2021-06-20T06:09:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9358,"text":"Geochemistry, Geophysics, Geosystems (G-Cubed)","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic surveys with unmanned aerial systems: Software for assessing and comparing the accuracy of different sensor systems, suspension designs and compensation methods","docAbstract":"

A typical problem for magnetic surveys with small Unmanned Aerial Systems (sUAS) is the heading error caused by undesired magnetic signals that originate from the aircraft. This can be addressed by suspending the magnetometers on sufficiently long tethers. However, tethered payloads require skilled pilots and are difficult to fly safely. Alternatively, the magnetometer can be fixed on the aircraft. In this case, aircraft magnetic signals are removed from the recordings with a process referred to as magnetic compensation, which requires parameters estimated from calibration flights flown in an area with magnetically low-gradients prior to the survey. We present open-source software fully written in Python to process data and compute compensations for two fundamentally different magnetometer systems (scalar and vector). We used the software to compare the precision of two commercially available systems by flying dense grid patterns over a 135 × 150 m area using different suspension configurations. The accuracy of the magnetic recordings is assessed using both standard deviations of the calibration pattern and tie-line cross-over differences from the survey. After compensation, the vector magnetometer provides the lowest heading error. However, the magnetic field intensity recovered with this system is relative and needs to be adjusted with absolute data if absolute intensity values are needed. Overall, the highest accuracy of all suspension configurations tested was obtained by fixing the magnetometer 0.5 m below the sUAS onto a self-built carbon-fiber frame, which also offered greater stability and allowed fully autonomous flights in a wide range of conditions.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC009745","usgsCitation":"Kaub, L., Keller, G., Bouligand, C., and Glen, J.M., 2021, Magnetic surveys with unmanned aerial systems: Software for assessing and comparing the accuracy of different sensor systems, suspension designs and compensation methods: Geochemistry, Geophysics, Geosystems (G-Cubed), v. 22, no. 7, e2021GC009745, 19 p., https://doi.org/10.1029/2021GC009745.","productDescription":"e2021GC009745, 19 p.","ipdsId":"IP-127055","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467237,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc009745","text":"Publisher Index Page"},{"id":462863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaub, Leon 0000-0002-8855-2832","orcid":"https://orcid.org/0000-0002-8855-2832","contributorId":345140,"corporation":false,"usgs":false,"family":"Kaub","given":"Leon","email":"","affiliations":[{"id":82497,"text":"Ludwig Maximilians University of Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":915781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, Gordon","contributorId":345141,"corporation":false,"usgs":false,"family":"Keller","given":"Gordon","affiliations":[{"id":82498,"text":"University of California, Santa Cruz, CA","active":true,"usgs":false}],"preferred":false,"id":915782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouligand, Claire 0000-0002-2923-1780","orcid":"https://orcid.org/0000-0002-2923-1780","contributorId":345142,"corporation":false,"usgs":false,"family":"Bouligand","given":"Claire","email":"","affiliations":[{"id":82499,"text":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc","active":true,"usgs":false}],"preferred":false,"id":915783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217621,"text":"70217621 - 2021 - Extreme events trigger terrestrial and marine ecosystem collapses: A tale of two regions","interactions":[],"lastModifiedDate":"2021-09-21T15:52:23.755967","indexId":"70217621","displayToPublicDate":"2021-06-19T10:48:11","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Extreme events trigger terrestrial and marine ecosystem collapses: A tale of two regions","docAbstract":"

We outline the multiple, cross-scale, and complex consequences of terrestrial and marine ecosystem heatwaves in two regions on opposite sides of the planet: the southwestern USA and southwestern Australia, both encompassing Global Biodiversity Hotspots, and where ecosystem collapses or features of it have occurred in the past two decades. We highlight ecosystem shifts that have clearly demonstrated a substantial change from a baseline state over time, although not necessarily across their entire distribution, with evidence of collapse at local scales. Responses to temperature extremes, such as heatwaves, encompass processes at all scales, including population level (e.g. altered demography such as survival, recruitment, and fecundity, together resulting in structural changes), community level (e.g. species compositional shifts), and ecosystem level (e.g. carbon loss), as well as physical properties altered by vegetation loss (e.g. microclimate, fire behaviour on land). These changes impact all trophic levels with foundational species losses (such as seagrasses, kelp, and trees), flowing through to vertebrates (such as sea turtles, penguins, and cockatoos). Where extensive collapse has occurred, shifts in microclimate could affect important biosphere-to-atmosphere feedbacks including fluxes of energy, carbon, and water. Such extensive changes usually do not occur in isolation and frequently interact with other disturbance processes such as fire, storms, pathogen and pest outbreaks, and anthropogenic stressors. Interactions may alter the likelihood, extent, or severity of subsequent disturbances (linked disturbances) as well as condition the ecological response and recovery (compound disturbances). In addition, if ecosystem collapse is extensive enough (e.g. tree die-off), those changes also can impact climate and ecosystems elsewhere via ecoclimate teleconnections. Increasing rates of climatic extremes will drive a host of direct and indirect feedbacks certain to produce large-scale shifts in ecological functioning at unprecedented rates. Understanding how, why, and where these shifts will occur will be critical for effective ecosystem management and climate change mitigation.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystem collapse and climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","usgsCitation":"Ruthrof, K.X., Fontaine, J.B., Breshears, D.D., Field, J.P., and Allen, C.D., 2021, Extreme events trigger terrestrial and marine ecosystem collapses: A tale of two regions, chap. 8 of Ecosystem collapse and climate change, p. 187-217.","productDescription":"31 p.","startPage":"187","endPage":"217","ipdsId":"IP-114954","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":389550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruthrof, Katinka X.","contributorId":203622,"corporation":false,"usgs":false,"family":"Ruthrof","given":"Katinka","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":808922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fontaine, Joseph B.","contributorId":168610,"corporation":false,"usgs":false,"family":"Fontaine","given":"Joseph","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":808923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":808924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Field, Jason P.","contributorId":216389,"corporation":false,"usgs":false,"family":"Field","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":808925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808926,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229473,"text":"70229473 - 2021 - Interacting effects of density-dependent and density-independent factors on growth rates in southwestern Cutthroat Trout populations","interactions":[],"lastModifiedDate":"2022-03-09T15:30:08.340523","indexId":"70229473","displayToPublicDate":"2021-06-19T09:26:56","publicationYear":"2021","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":"Interacting effects of density-dependent and density-independent factors on growth rates in southwestern Cutthroat Trout populations","docAbstract":"

Density-dependent (DD) and density-independent (DI) effects play an important role in shaping fish growth rates, an attribute that correlates with many life history traits in fishes. Consequently, understanding the extent to which DD and DI effects influence growth rates is valuable for fisheries assessments because it can inform managers about how populations may respond as environmental conditions continue to change (e.g., threats from climate change). We used a Rio Grande Cutthroat Trout Oncorhynchus clarkii virginalis (RGCT) capture–mark–recapture data set collected over 2 years along a temperature and density gradient in northern New Mexico streams to test the extent to which DD and DI effects interact to influence specific growth rates. We found that temperature (DI) and density (DD) interacted with RGCT life stage (i.e., immature or mature) to affect growth rates. We only detected evidence of a negative DD effect on RGCT growth for the immature fraction of a population when exposed to the warmest stream temperatures. Our results suggest that competition most strongly affected the immature portion of RGCT populations, and this effect was only detectable when temperatures were warmest and energetic stress was likely at its highest. The quadratic relationship between temperature and growth rates also demonstrated that stream temperatures were below as well as above optimal growth temperatures for RGCT. Growth rates in our RGCT populations were influenced by complex interactions of DD and DI effects, and our results suggest that the negative consequences of warming trends associated with climate change on RGCT populations may be exacerbated by DD effects.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10319","usgsCitation":"Huntsman, B., Lynch, A., and Caldwell, C.A., 2021, Interacting effects of density-dependent and density-independent factors on growth rates in southwestern Cutthroat Trout populations: Transactions of the American Fisheries Society, v. 150, no. 5, p. 651-664, https://doi.org/10.1002/tafs.10319.","productDescription":"14 p.","startPage":"651","endPage":"664","ipdsId":"IP-125845","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"links":[{"id":396915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.3861083984375,\n 35.55904339525896\n ],\n [\n -104.2437744140625,\n 35.55904339525896\n ],\n [\n -104.2437744140625,\n 36.98500309285596\n ],\n [\n -106.3861083984375,\n 36.98500309285596\n ],\n [\n -106.3861083984375,\n 35.55904339525896\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"150","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntsman, Brock M.","contributorId":288215,"corporation":false,"usgs":false,"family":"Huntsman","given":"Brock M.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":837566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":216203,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":837567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":837568,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221546,"text":"70221546 - 2021 - Comparison of historical water temperature measurements with landsat analysis ready data provisional surface temperature estimates for the Yukon River in Alaska","interactions":[],"lastModifiedDate":"2021-06-23T12:24:25.466012","indexId":"70221546","displayToPublicDate":"2021-06-19T07:08:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of historical water temperature measurements with landsat analysis ready data provisional surface temperature estimates for the Yukon River in Alaska","docAbstract":"

Water temperature is a key element of freshwater ecological systems and a critical element within natural resource monitoring programs. In the absence of in situ measurements, remote sensing platforms can indirectly measure water temperature over time and space. The Earth Resources Observation and Science (EROS) Center has processed archived Landsat imagery into analysis ready data (ARD), including Level-2 Provisional Surface Temperature (pST) estimates derived from the Landsat 4–5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8 Thermal Infrared Sensor (TIRS). We compared in situ measurements of water temperature within the Yukon River in Alaska with 52 instances of pST estimates between June 2014 and September 2020. Agreement was good with an RMSE of 2.25 °C and only a slight negative bias in the estimated mean daily water temperature of −0.47 °C. For the 52 dates compared, the average daily water temperature measured by the USGS streamgage was 11.3 °C with a standard deviation of 5.7 °C. The average daily pST estimate was 10.8 °C with a standard deviation of 6.1 °C. At least in the case of large unstratified rivers in Alaska, ARD pST can be used to infer water temperature in the absence of or in tandem with ground-based water temperature monitoring campaigns.

","language":"English","publisher":"MDPI","doi":"10.3390/rs13122394","usgsCitation":"Baughman, C., and Conaway, J., 2021, Comparison of historical water temperature measurements with landsat analysis ready data provisional surface temperature estimates for the Yukon River in Alaska: Remote Sensing, v. 13, no. 12, 2394, 45 p., https://doi.org/10.3390/rs13122394.","productDescription":"2394, 45 p.","ipdsId":"IP-127623","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":451818,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13122394","text":"Publisher Index Page"},{"id":436300,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MCNPGK","text":"USGS data release","linkHelpText":"Historical Landsat-Derived Water Surface Temperature for Three Large Alaska Rivers 1984-2022"},{"id":386643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164.53125,\n 61.48075950007598\n ],\n [\n -158.81835937499997,\n 61.48075950007598\n ],\n [\n -158.81835937499997,\n 63.35212928507874\n ],\n [\n -164.53125,\n 63.35212928507874\n ],\n [\n -164.53125,\n 61.48075950007598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":818015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":818016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221855,"text":"70221855 - 2021 - Sediment transport, turbidity, and dissolved oxygen responses to annual streambed drawdowns for downstream fish passage in a flood control reservoir","interactions":[],"lastModifiedDate":"2021-07-12T17:40:19.227133","indexId":"70221855","displayToPublicDate":"2021-06-18T12:39:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Sediment transport, turbidity, and dissolved oxygen responses to annual streambed drawdowns for downstream fish passage in a flood control reservoir","docAbstract":"

Sediment transport, turbidity, and dissolved oxygen were evaluated during six consecutive water years (2013–2018) of drawdowns of a flood control reservoir in the upper Willamette Valley, Oregon, USA. The drawdowns were conducted to allow volitional passage of endangered juvenile chinook salmon through the dam's regulating outlets by lowering the reservoir elevation to a point where the historical streambed was exposed and transported water and sediment through the reservoir dam. Sediment loads during the drawdown were highest in the first year of monitoring, with a computed value of 40,200 metric tons over a 5-day drawdown, followed by 5 years of lower sediment loads and lower sediment transport rates, suggesting that much of the stored sediment within the reservoir thalweg was transported out of the reservoir in the early years of the consecutive drawdowns. Suspended sediment concentrations (SSC) computed using turbidity and streamflow data resulted in maximum SSC at the onset of the drawdowns, with the highest computed values occurring during the water year 2017 drawdown at 17,500 mg/L (turbidity = 2,990 FNU), and average drawdown SSC values ranging from 654 to 3,950 mg/L for the six years of monitoring. Computed SSC were on the lower range of concentrations that could be harmful to out-migrating juvenile salmon published in other studies. High amounts of particulate organic matter and sand-sized material in drawdown SSC samples affected relations between turbidity and SSC, requiring the use of multiple surrogate regression models over short time frames. Dissolved oxygen minimum values were recorded in two of the monitoring years, with a minimum value of 0.71 and 3.4 mg/L recorded at the onset of the drawdowns in water years 2016 and 2018, respectively. Dissolved oxygen values below 4 mg/L lasted for 1 h, suggesting a rapidly expressed chemical oxygen demand. The response of suspended sediment loads and SSC highlight the site-specific nature of reservoir drawdowns, and the need for evaluation of expected sediment responses for drawdowns being considered at other locations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.113068","usgsCitation":"Schenk, L.N., and Bragg, H.M., 2021, Sediment transport, turbidity, and dissolved oxygen responses to annual streambed drawdowns for downstream fish passage in a flood control reservoir: Journal of Environmental Management, v. 295, 113068, 11 p., https://doi.org/10.1016/j.jenvman.2021.113068.","productDescription":"113068, 11 p.","ipdsId":"IP-119744","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":387132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Fall Creek Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.69325256347656,\n 43.923862711777446\n ],\n [\n -122.73548126220703,\n 43.9429004110983\n ],\n [\n -122.69565582275389,\n 43.95130472827632\n ],\n [\n -122.65342712402344,\n 43.97305156068593\n ],\n [\n -122.66578674316406,\n 43.97972228837853\n ],\n [\n -122.71076202392577,\n 43.96069638244953\n ],\n [\n -122.75333404541016,\n 43.959460723283826\n ],\n [\n -122.76226043701173,\n 43.958472177448414\n ],\n [\n -122.76191711425781,\n 43.93820336335502\n ],\n [\n -122.7509307861328,\n 43.93721446391471\n ],\n [\n -122.73616790771484,\n 43.93251696697599\n ],\n [\n -122.70767211914064,\n 43.92336814487696\n ],\n [\n -122.69256591796876,\n 43.92287357386489\n ],\n [\n -122.69325256347656,\n 43.923862711777446\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"295","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragg, Heather M. 0000-0002-0013-4573 hmbragg@usgs.gov","orcid":"https://orcid.org/0000-0002-0013-4573","contributorId":239645,"corporation":false,"usgs":true,"family":"Bragg","given":"Heather","email":"hmbragg@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819010,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70232408,"text":"70232408 - 2021 - Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016","interactions":[],"lastModifiedDate":"2022-06-30T17:06:48.667022","indexId":"70232408","displayToPublicDate":"2021-06-18T11:59:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016","title":"Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016","docAbstract":"

Ocean and freshwater conditions can influence spawning success of Pacific salmon (Oncorhynchus spp.) by governing the energy content of fish at the start of and during the spawning migration. Ocean conditions determine the energy stores of fish at the freshwater entry, while freshwater conditions determine how quickly stored energy is depleted as individuals migrate to spawning grounds in natal rivers and lakes. We assessed the occurrence of sockeye salmon (Oncorhynchus nerka) egg retention (failure to deposit eggs) in a high-latitude (~ 65°N) watershed that has a large, inter-annual variation in the number of returning adults. We also explored relationships between ocean and freshwater conditions with egg retention of female sockeye salmon. The proportion of females with egg retention (> 50 eggs) varied by threefold (12 to 36%) across years (2013 to 2020) and was related to ocean conditions represented by the North Pacific Index (NPI). Egg retention was more common in years with low NPI values (a stronger Aleutian Low) in association with the Pacific marine heatwave of 2014–2016 that disrupted food webs. This initial study contains the first empirical data observing the influence of ocean conditions on egg retention for any Pacific salmon population. The lack of any relationship between egg retention and freshwater temperatures was consistent with water temperatures primarily occurring below thresholds associated with heat stress related mortality (< 18 °C). Understanding the amount of egg retention and how environmental drivers influence egg retention within Pacific salmon populations provides insights for managers assessing the number of successful spawners and helps refine escapement-based management efforts.

","language":"English","publisher":"Springer","doi":"10.1007/s00300-021-02902-8","usgsCitation":"Carey, M.P., von Biela, V.R., Dunker, A., Keith, K.D., Schelske, M., Lean, C., and Zimmerman, C.E., 2021, Egg retention of high-latitude sockeye salmon (Oncorhynchus nerka) in the Pilgrim River, Alaska, during the Pacific marine heatwave of 2014–2016: Polar Biology, v. 44, p. 1643-1654, https://doi.org/10.1007/s00300-021-02902-8.","productDescription":"12 p.","startPage":"1643","endPage":"1654","ipdsId":"IP-120209","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":402767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Pilgrim River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167,\n 64.5\n ],\n [\n -165,\n 64.5\n ],\n [\n -165,\n 65.25\n ],\n [\n -167,\n 65.25\n ],\n [\n -167,\n 64.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":845449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":845450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunker, Ashley","contributorId":292682,"corporation":false,"usgs":false,"family":"Dunker","given":"Ashley","email":"","affiliations":[{"id":33645,"text":"Norton Sound Fisheries Research & Development","active":true,"usgs":false}],"preferred":false,"id":845451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Kevin D.","contributorId":192846,"corporation":false,"usgs":false,"family":"Keith","given":"Kevin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":845452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schelske, Merlyn","contributorId":192847,"corporation":false,"usgs":false,"family":"Schelske","given":"Merlyn","email":"","affiliations":[],"preferred":false,"id":845453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lean, Charlie","contributorId":221506,"corporation":false,"usgs":false,"family":"Lean","given":"Charlie","affiliations":[{"id":33645,"text":"Norton Sound Fisheries Research & Development","active":true,"usgs":false}],"preferred":false,"id":845454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":845455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221701,"text":"70221701 - 2021 - New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino-acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi)","interactions":[],"lastModifiedDate":"2021-11-01T15:36:01.701983","indexId":"70221701","displayToPublicDate":"2021-06-18T10:07:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi)","title":"New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino-acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi)","docAbstract":"

In order to reconstruct the ecosystem structure of chemosynthetic environments in the fossil record, geochemical proxies must be developed. Here, we present a suite of novel compound-specific isotope parameters for tracing chemosynthetic production with a focus on understanding nitrogen dynamics in deep-sea cold seep environments. We examined the chemosymbiotic bivalve Bathymodiolus childressi from three geographically distinct seep sites on the NE Atlantic Margin and compared isotope data to non-chemosynthetic littoral mussels to test whether water depth, seep activity, and/or mussel bed size are linked to differences in chemosynthetic production. The bulk isotope analysis of carbon (δ13C) and nitrogen (δ15N), and δ15N values of individual amino acids (δ15NAA) in both gill and muscle tissues, as well as δ15NAA-derived parameters including trophic level (TL), baseline δ15N value (δ15NPhe), and a microbial resynthesis index (ΣV), were used to investigate specific geochemical signatures of chemosynthesis. Our results show that δ15NAA values provide a number of new proxies for relative reliance on chemosynthesis, including TL, ∑V, and both δ15N values and molar percentages (Gly/Glu mol% index) of specific AA. Together, these parameters suggested that relative chemoautotrophy is linked to both degree of venting from seeps and mussel bed size. Finally, we tested a Bayesian mixing model using diagnostic AA δ15N values, showing that percent contribution of chemoautotrophic versus heterotrophic production to seep mussel nutrition can be directly estimated from δ15NAA values. Our results demonstrate that δ15NAA analysis can provide a new set of geochemical tools to better understand mixotrophic ecosystem function and energetics, and suggest extension to the study of ancient chemosynthetic environments in the fossil record.

","language":"English","publisher":"Wiley","doi":"10.1111/gbi.12458","usgsCitation":"Vokhshoori, N., McCarthy, M., Close, H., Demopoulos, A., and Prouty, N.G., 2021, New geochemical tools for investigating resource and energy functions at deep-sea cold seeps using amino-acid δ15N in chemosymbiotic mussels (Bathymodiolus childressi): Geobiology, v. 19, no. 6, p. 601-617, https://doi.org/10.1111/gbi.12458.","productDescription":"17 p.","startPage":"601","endPage":"617","ipdsId":"IP-121092","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Vokhshoori, Natasha","contributorId":260681,"corporation":false,"usgs":false,"family":"Vokhshoori","given":"Natasha","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":818469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Matt","contributorId":260682,"corporation":false,"usgs":false,"family":"McCarthy","given":"Matt","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":818470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Close, Hilary","contributorId":199931,"corporation":false,"usgs":false,"family":"Close","given":"Hilary","affiliations":[],"preferred":false,"id":818471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":222192,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":818472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221695,"text":"70221695 - 2021 - Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data","interactions":[],"lastModifiedDate":"2021-06-29T14:31:23.162807","indexId":"70221695","displayToPublicDate":"2021-06-18T09:13:25","publicationYear":"2021","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":"Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data","docAbstract":"

Successful eutrophication control strategies need to address the limiting nutrient. We conducted a battery of laboratory and in situ nutrient-limitation tests with waters collected from 9 streams in an agricultural region of the upper Snake River basin, Idaho, USA. Laboratory tests used the green alga Raphidocelis subcapitata, the macrophyte Lemna minor (duckweed) with native epiphytes, and in situ nutrient-limitation tests of periphyton were conducted with nutrient-diffusing substrates (NDS). In the duckweed/epiphyte test, P saturation occurred when concentrations reached about 100 μg/L. Chlorophyll a in epiphytic periphyton was stimulated at low P additions and by about 100 μg/L P, epiphytic periphyton chlorophyll a appeared to be P saturated. Both duckweed and epiphyte response patterns with total N were weaker but suggested a growth stimulation threshold for duckweed when total N concentrations exceeded about 300 μg/L and approached saturation at the highest N concentration tested, 1300 μg/L. Nutrient uptake by epiphytes and macrophytes removed up to 70 and 90% of the N and P, respectively. The green algae and the NDS nutrient-limitation test results were mostly congruent; N and P co-limitation was the most frequent result for both test series. Across all tests, when N:P molar ratios >30 (mass ratios >14), algae or macrophyte growth was P limited; N limitation was observed at N:P molar ratios up to 23 (mass ratios up to 10). A comparison of ambient periphyton chlorophyll a concentrations with chlorophyll a accrued on control artificial substrates in N-limited streams, suggests that total N concentrations associated with a periphyton chlorophyll a benchmark for desirable or undesirable conditions for recreation would be about 600 to 1000 μg/L total N, respectively. For P-limited streams, the corresponding benchmark concentrations were about 50 to 90 μg/L total P, respectively. Our approach of integrating controlled experiments and matched biomonitoring field surveys was cost effective and more informative than either approach alone.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0252904","usgsCitation":"Mebane, C.A., Ray, A.M., and Marcarelli, A.M., 2021, Nutrient limitation of algae and macrophytes in streams: Integrating laboratory bioassays, field experiments, and field data: PLoS ONE, v. 16, no. 6, e0252904, 27 p., https://doi.org/10.1371/journal.pone.0252904.","productDescription":"e0252904, 27 p.","ipdsId":"IP-127847","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":451823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0252904","text":"Publisher Index Page"},{"id":386850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Big Cottonwood Creek, Stalker Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.98040771484375,\n 42.176126260952934\n ],\n [\n -113.76480102539062,\n 42.176126260952934\n ],\n [\n -113.76480102539062,\n 42.33063116562984\n ],\n [\n -113.98040771484375,\n 42.33063116562984\n ],\n [\n -113.98040771484375,\n 42.176126260952934\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.16468620300293,\n 43.311127198613335\n ],\n [\n -114.15696144104004,\n 43.320744323395154\n ],\n [\n -114.16399955749512,\n 43.32218051659263\n ],\n [\n -114.17404174804688,\n 43.31118965238512\n ],\n [\n -114.18365478515625,\n 43.316560436671395\n ],\n [\n -114.19017791748047,\n 43.32823713177707\n ],\n [\n -114.20339584350586,\n 43.34365692013493\n ],\n [\n -114.21223640441895,\n 43.33966188522517\n ],\n [\n -114.20125007629395,\n 43.328986361785745\n ],\n [\n -114.18837547302246,\n 43.313625299426235\n ],\n [\n -114.18022155761719,\n 43.307005107782196\n ],\n [\n -114.17326927185059,\n 43.306755275110774\n ],\n [\n -114.16468620300293,\n 43.311127198613335\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":818449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcarelli, Amy M 0000-0002-4175-9211","orcid":"https://orcid.org/0000-0002-4175-9211","contributorId":257363,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy","email":"","middleInitial":"M","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":818450,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221662,"text":"70221662 - 2021 - Land-based sediment sources and transport to southwest Puerto Rico coral reefs after Hurricane Maria, May 2017 to June 2018","interactions":[],"lastModifiedDate":"2021-06-28T13:22:06.601915","indexId":"70221662","displayToPublicDate":"2021-06-18T08:16:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Land-based sediment sources and transport to southwest Puerto Rico coral reefs after Hurricane Maria, May 2017 to June 2018","docAbstract":"

The effects of runoff from land on nearshore ecosystems, including coral reef communities, are influenced by both sediment supply and removal by coastal processes. Integrated studies across the land-sea interface describing sources and transport of terrestrial sediment and its nearshore fate allow reef protection initiatives to target key onshore and offshore areas. Geochemical signatures in the fine fraction of terrestrial sediment from watersheds in southwest Puerto Rico were determined by multivariate principal component analysis and used to identify terrestrial sources of sediment runoff to nearshore coral reefs. Sediment settling out of suspension at reefs was collected at approximately 2 month-long intervals in bottom-mounted sediment traps from May 2017 to June 2018, a period that included Hurricanes Irma and Maria. Bulk sediment accumulation rates in traps exceeded a 10 mg/cm2/d threshold found to stress corals at 5 of 7 reef sites throughout the 13 month-long study. Geochemical signatures showed that watersheds 10s km to the east were a predominant, year-round source of fine sediment to reefs offshore of Guánica Bay and could have introduced sediment-bound contaminants due to a higher degree of industrialization and urbanization than the local watershed. Sediment runoff from the local watershed appeared to be constrained to a narrow band close to shore. During the 2.5 months after Hurricanes Irma and Maria, bulk sediment accumulation rates increased substantially and fine sediment geochemical signatures were indicative of predominantly distal sources, except outside of the mouth of Guánica Bay, which was strongly impacted by local runoff. Mass wasting, sediment runoff, and coastal turbidity persisted for months after Hurricane Maria and could account for the appearance of a small fraction of geochemical variance from a distal sediment source that appeared in reef traps 4 months post-hurricane and persisted through the end of the study 9 months post-hurricane. Sediment geochemical sourcing in temporally resolved records from sediment traps showed how landscape-scale changes after a major hurricane affected both near-term and long-term sediment delivery to reef communities. In addition, the importance of fine sediment advection from distal sources indicates that successful reduction of land-based pressures on nearshore ecosystems will require cross-jurisdictional strategies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2021.107476","usgsCitation":"Takesue, R.K., Sherman, C.E., Reyes, A.O., Cheriton, O.M., Ramirez, N.I., Viqueira Rios, R., and Storlazzi, C.D., 2021, Land-based sediment sources and transport to southwest Puerto Rico coral reefs after Hurricane Maria, May 2017 to June 2018: Estuarine, Coastal and Shelf Science, v. 259, 107476, 12 p., https://doi.org/10.1016/j.ecss.2021.107476.","productDescription":"107476, 12 p.","ipdsId":"IP-113468","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2021.107476","text":"Publisher Index Page"},{"id":386790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.16354370117188,\n 17.770920015568638\n ],\n [\n -66.1761474609375,\n 17.770920015568638\n ],\n [\n -66.1761474609375,\n 18.135411517108345\n ],\n [\n -67.16354370117188,\n 18.135411517108345\n ],\n [\n -67.16354370117188,\n 17.770920015568638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherman, Clark E. 0000-0003-0758-7900","orcid":"https://orcid.org/0000-0003-0758-7900","contributorId":259180,"corporation":false,"usgs":false,"family":"Sherman","given":"Clark","middleInitial":"E.","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":818371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reyes, Aaron O.","contributorId":260655,"corporation":false,"usgs":false,"family":"Reyes","given":"Aaron","email":"","middleInitial":"O.","affiliations":[{"id":52630,"text":"Westfield State University","active":true,"usgs":false}],"preferred":false,"id":818372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramirez, Natalia I.","contributorId":260656,"corporation":false,"usgs":false,"family":"Ramirez","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":52631,"text":"University of Puerto Rico at Mayaguez","active":true,"usgs":false}],"preferred":false,"id":818374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viqueira Rios, Roberto","contributorId":260657,"corporation":false,"usgs":false,"family":"Viqueira Rios","given":"Roberto","email":"","affiliations":[{"id":52632,"text":"Protectores de Cuencas, Inc.","active":true,"usgs":false}],"preferred":false,"id":818375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818376,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222520,"text":"70222520 - 2021 - When hazard avoidance is not an option: Lessons learned from monitoring the postdisaster Oso landslide, USA","interactions":[],"lastModifiedDate":"2021-09-14T16:42:15.893843","indexId":"70222520","displayToPublicDate":"2021-06-18T07:36:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"When hazard avoidance is not an option: Lessons learned from monitoring the postdisaster Oso landslide, USA","docAbstract":"

On 22 March 2014, a massive, catastrophic landslide occurred near Oso, Washington, USA, sweeping more than 1 km across the adjacent valley flats and killing 43 people. For the following 5 weeks, hundreds of workers engaged in an exhaustive search, rescue, and recovery effort directly in the landslide runout path. These workers could not avoid the risks posed by additional large-scale slope collapses. In an effort to ensure worker safety, multiple agencies cooperated to swiftly deploy a monitoring and alerting system consisting of sensors, automated data processing and web-based display, along with defined communication protocols and clear calls to action for emergency management and search personnel. Guided by the principle that an accelerating landslide poses a greater threat than a steadily moving or stationary mass, the system was designed to detect ground motion and vibration using complementary monitoring techniques. Near real-time information was provided by continuous GPS, seismometers/geophones, and extensometers. This information was augmented by repeat-assessment techniques such as terrestrial and aerial laser scanning and time-lapse photography. Fortunately, no major additional landsliding occurred. However, we did detect small headscarp failures as well as slow movement of the remaining landslide mass with the monitoring system. This was an exceptional response situation and the lessons learned are applicable to other landslide disaster crises. They underscore the need for cogent landslide expertise and ready-to-deploy monitoring equipment, the value of using redundant monitoring techniques with distinct goals, the benefit of clearly defined communication protocols, and the importance of continued research into forecasting landslide behavior to allow timely warning.

","language":"English","publisher":"Springer","doi":"10.1007/s10346-021-01686-6","usgsCitation":"Reid, M.E., Godt, J.W., LaHusen, R.G., Slaughter, S.L., Badger, T.C., Collins, B.D., Schulz, W.H., Baum, R.L., Coe, J.A., Harp, E.L., Schmidt, K.M., Iverson, R.M., Smith, J., Haugerud, R.A., and George, D.L., 2021, When hazard avoidance is not an option: Lessons learned from monitoring the postdisaster Oso landslide, USA: Landslides, v. 18, p. 2993-3009, https://doi.org/10.1007/s10346-021-01686-6.","productDescription":"17 p.","startPage":"2993","endPage":"3009","ipdsId":"IP-121593","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451827,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-021-01686-6","text":"Publisher Index Page"},{"id":436301,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TTJFGU","text":"USGS data release","linkHelpText":"GPS monitoring data from spider units on the post-disaster 2014 Oso landslide, Snohomish County, Washington"},{"id":387620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.01416015625,\n 47.702368466573716\n ],\n [\n -121.13525390625,\n 47.702368466573716\n ],\n [\n -121.13525390625,\n 48.180738507303836\n ],\n [\n -122.01416015625,\n 48.180738507303836\n ],\n [\n -122.01416015625,\n 47.702368466573716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2021-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaHusen, Richard G 0000-0002-9352-8837","orcid":"https://orcid.org/0000-0002-9352-8837","contributorId":261703,"corporation":false,"usgs":false,"family":"LaHusen","given":"Richard","email":"","middleInitial":"G","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":820438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slaughter, Stephen L 0000-0002-4322-3330","orcid":"https://orcid.org/0000-0002-4322-3330","contributorId":261704,"corporation":false,"usgs":false,"family":"Slaughter","given":"Stephen","email":"","middleInitial":"L","affiliations":[{"id":37093,"text":"Washington State Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":820439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Badger, Thomas C.","contributorId":140578,"corporation":false,"usgs":false,"family":"Badger","given":"Thomas","email":"","middleInitial":"C.","affiliations":[{"id":13534,"text":"Washington State Dept. of Transporation, Geotechnical Office","active":true,"usgs":false}],"preferred":false,"id":820440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":820441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harp, Edwin L","contributorId":261705,"corporation":false,"usgs":false,"family":"Harp","given":"Edwin","email":"","middleInitial":"L","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":820445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":820447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Joel B. 0000-0001-7219-7875","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":242670,"corporation":false,"usgs":false,"family":"Smith","given":"Joel B.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":820448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Haugerud, Ralph A. 0000-0001-7302-4351","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":204669,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820450,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70221753,"text":"70221753 - 2021 - Borreliosis transmission from ticks to humans associated with desert tortoise burrows: Examples of tick-borne relapsing fever in the Mojave Desert","interactions":[],"lastModifiedDate":"2021-08-17T15:15:09.428007","indexId":"70221753","displayToPublicDate":"2021-06-18T07:30:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Borreliosis transmission from ticks to humans associated with desert tortoise burrows: Examples of tick-borne relapsing fever in the Mojave Desert","docAbstract":"

Ticks transmit pathogens and parasitize wildlife in turn causing zoonotic diseases in many ecosystems. Argasid ticks, such as Ornithodoros spp., harbor and transmit Borrelia spp., resulting in tick-borne relapsing fever (TBRF) in people. In the western United States, TBRF is typically associated with the bite of an infected Ornithodoros hermsi tick found in habitats at high elevations (>1500 ft). This report describes the first TBRF cases in people in the Mojave Desert (Clark County, NV). Individuals documented in these case studies were exposed to Ornithodoros ticks during excavation of soil burrows associated with Mojave Desert tortoises (Gopherus agassizii), with bacteria from one of the human case's blood sample genetically matching to Borrelia turicatae as determined by quantitative PCR and sequencing. Our findings should serve as a precaution to individuals working with tortoises or animal burrows, or those in contact with Ornithodoros ticks in this region.

","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/vbz.2021.0005","usgsCitation":"Bechtel, M., Drake, K.K., Esque, T., Nieto, N., Foster, J.T., and Teglas, M., 2021, Borreliosis transmission from ticks to humans associated with desert tortoise burrows: Examples of tick-borne relapsing fever in the Mojave Desert: Vector-Borne and Zoonotic Diseases, v. 21, no. 8, p. 635-637, https://doi.org/10.1089/vbz.2021.0005.","productDescription":"3 p.","startPage":"635","endPage":"637","ipdsId":"IP-129163","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":386918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.630859375,\n 34.66935854524543\n ],\n [\n -113.93920898437499,\n 34.66935854524543\n ],\n [\n -113.93920898437499,\n 36.465471886798134\n ],\n [\n -116.630859375,\n 36.465471886798134\n ],\n [\n -116.630859375,\n 34.66935854524543\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bechtel, Molly J","contributorId":260732,"corporation":false,"usgs":false,"family":"Bechtel","given":"Molly J","affiliations":[{"id":52661,"text":"Northern Arizona University; Pathogen and Microbiome Institute","active":true,"usgs":false}],"preferred":false,"id":818621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, K. Kristina 0000-0003-0711-7634 kdrake@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-7634","contributorId":3799,"corporation":false,"usgs":true,"family":"Drake","given":"K.","email":"kdrake@usgs.gov","middleInitial":"Kristina","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":818622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":818623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nieto, Nathan C","contributorId":260733,"corporation":false,"usgs":false,"family":"Nieto","given":"Nathan C","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":818624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":818625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Teglas, Mike B","contributorId":260734,"corporation":false,"usgs":false,"family":"Teglas","given":"Mike B","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":818626,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230947,"text":"70230947 - 2021 - Regional occurrence of aqueous tungsten and relations with antimony, arsenic and molybdenum concentrations (Sardinia, Italy)","interactions":[],"lastModifiedDate":"2022-04-29T12:18:41.756084","indexId":"70230947","displayToPublicDate":"2021-06-18T07:15:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Regional occurrence of aqueous tungsten and relations with antimony, arsenic and molybdenum concentrations (Sardinia, Italy)","docAbstract":"

Tungsten (W) is rarely found in natural waters, yet it can be introduced into the food chain and cause potentially toxic effects. Uptake of W by plants and vegetables, or trace presence of W in drinking water are possible vectors for ingestion of W by humans. The latter is recognized as a possible cause of lymphatic leukemia. Increased uses of W might result in a degradation of water resources, with attendant adverse effects on biota and human health. Therefore, this study was aimed at investigating regional occurrence and speciation of W in aquatic systems in Sardinia, Italy, factors affecting W mobility and possible relations with other oxyanion-forming trace elements such as Sb, As and Mo. Although our results are specifically from Sardinia, the implications are broader and should prompt future studies in other areas with known high W concentrations.

A total of 350 sample sites are reported here, including surface waters, groundwaters, mine drainages, thermal waters and local seawater. The waters were analyzed for major and trace components, including W, Sb, As and Mo. The waters showed a variety of major chemical compositions and W concentrations. High concentrations of W were found in some mine waters and drainages from slag heaps, with W, Sb and As up to 140, 5000 and 800 μg L−1, respectively. The highest concentrations of W occurred under slightly alkaline pH and oxygenated conditions, and were likely due to the dissolution of scheelite [CaWO4] hosted in materials with which the water came into contact. High W concentrations also were observed in thermal waters, under alkaline pH and reducing conditions, and sometimes coincided with relatively high concentrations either of As or Mo.

Previous studies of W geochemistry have focused on WO42− as the major dissolved form of W. For this study, we have augmented the thermodynamic database in PHREEQC to include possible formation of many other W-bearing complexes gleaned from the literature. The results of the speciation calculations with the newly added complexation reactions shows that the neutral species CaWO4° and MgWO4° are particularly dominant in most W-bearing waters and lead to undersaturation with respect to scheelite and other W-bearing minerals.

Assessing W contamination in water systems and establishing W limits in drinking water may prevent potential adverse effects of W on human and ecosystem health.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2021.106846","usgsCitation":"Cidu, R., Biddau, R., Frau, F., Wanty, R., and Naitza, S., 2021, Regional occurrence of aqueous tungsten and relations with antimony, arsenic and molybdenum concentrations (Sardinia, Italy): Journal of Geochemical Exploration, v. 229, 106846, 16 p., https://doi.org/10.1016/j.gexplo.2021.106846.","productDescription":"106846, 16 p.","ipdsId":"IP-127822","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":399886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Sardinia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 7.943115234375001,\n 38.865374851611634\n ],\n [\n 9.920654296875,\n 38.865374851611634\n ],\n [\n 9.920654296875,\n 41.31082388091818\n ],\n [\n 7.943115234375001,\n 41.31082388091818\n ],\n [\n 7.943115234375001,\n 38.865374851611634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"229","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cidu, Rosa","contributorId":290729,"corporation":false,"usgs":false,"family":"Cidu","given":"Rosa","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biddau, Riccardo","contributorId":290730,"corporation":false,"usgs":false,"family":"Biddau","given":"Riccardo","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frau, Franco","contributorId":290731,"corporation":false,"usgs":false,"family":"Frau","given":"Franco","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard 0000-0002-2063-6423","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":209899,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","affiliations":[],"preferred":true,"id":841692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naitza, Stefano","contributorId":290732,"corporation":false,"usgs":false,"family":"Naitza","given":"Stefano","email":"","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":841693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70229497,"text":"70229497 - 2021 - The marine terraces of Santa Cruz Island, California: Implications for glacial isostatic adjustment models of last-interglacial sea-level history","interactions":[],"lastModifiedDate":"2022-03-09T12:47:41.369958","indexId":"70229497","displayToPublicDate":"2021-06-18T06:43:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The marine terraces of Santa Cruz Island, California: Implications for glacial isostatic adjustment models of last-interglacial sea-level history","docAbstract":"

Glacial isostatic adjustment (GIA) models hypothesize that along coastal California, last interglacial (LIG, broadly from ~130 to ~115 ka) sea level could have been as high as +11 m to +13 m, relative to present, substantially higher than the commonly estimated elevation of +6 m. Areas with low uplift rates can test whether such models are valid. Marine terraces on Santa Cruz Island have previously been reported to occur at low (<10 m) elevations, but ages of many such localities are not known. Using lidar imagery as a base, marine terraces on Santa Cruz Island were newly mapped, elevations were measured, fossils were collected for U-series dating (corals), strontium isotope compositions and amino acid geochronology (mollusks), and paleozoogeography (all taxa). Sr isotope compositions of mollusks from the highest of three marine terraces give ages of ~2.5 Ma to 1.9 Ma, along with Pliocene ages, from shells interpreted to be reworked. U-series ages of corals from the western part of the island indicate that low-elevation terraces north of the Santa Cruz Island fault correlate to the LIG. Where corals are lacking, amino acid ratios and faunal aspects support terrace correlation to the LIG high stand of sea. Elevations of most terrace localities north of the east-west trending Santa Cruz Island fault, in both the western and eastern parts of the island, range from 5.75 m to 8 m above sea level, well below the modeled paleo-sea-level range. Subsidence is ruled out as a mechanism for explaining the lower-than-modeled elevations, because higher-elevation terraces are present along much of the Santa Cruz Island coast north of the fault, indicating long-term tectonic uplift. The low elevations of the LIG terrace fragments are, however, consistent with a low rate of uplift derived from the higher, ~2.5–1.9 Ma terrace. A number of other localities on the Pacific Coast, also dated to the LIG, have marine terrace elevations below the modeled level. GIA models may have overestimated last interglacial sea level by a substantial amount and need to be revised if used for forecasts for future sea-level rise.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2021.107826","usgsCitation":"Muhs, D.R., Schumann, R.R., Groves, L.T., Simmons, K., and Florian, C.R., 2021, The marine terraces of Santa Cruz Island, California: Implications for glacial isostatic adjustment models of last-interglacial sea-level history: Geomorphology, v. 389, 107826, 34 p., https://doi.org/10.1016/j.geomorph.2021.107826.","productDescription":"107826, 34 p.","ipdsId":"IP-120857","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2021.107826","text":"Publisher Index Page"},{"id":396896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.97619628906249,\n 33.9285481685662\n ],\n [\n -119.49691772460938,\n 33.9285481685662\n ],\n [\n -119.49691772460938,\n 34.110667538758996\n ],\n [\n -119.97619628906249,\n 34.110667538758996\n ],\n [\n -119.97619628906249,\n 33.9285481685662\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"389","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":837623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":837624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groves, Lindsey T.","contributorId":213427,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","email":"","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":837625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":229460,"corporation":false,"usgs":false,"family":"Simmons","given":"Kathleen R.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":837626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florian, Christopher R.","contributorId":288289,"corporation":false,"usgs":false,"family":"Florian","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":837627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221492,"text":"70221492 - 2021 - Physiomorphic transformation in extreme endurance migrants: Revisiting the case of bar-tailed godwits preparing for trans-pacific flights","interactions":[],"lastModifiedDate":"2021-06-18T20:44:34.055777","indexId":"70221492","displayToPublicDate":"2021-06-17T15:40:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Physiomorphic transformation in extreme endurance migrants: Revisiting the case of bar-tailed godwits preparing for trans-pacific flights","docAbstract":"

In a 1998 paper entitled “Guts don’t fly: small digestive organs in obese bar-tailed godwits,” Piersma and Gill (1998) showed that the digestive organs were tiny and the fat loads huge in individuals suspected of embarking on a non-stop flight from Alaska to New Zealand. It was suggested that prior to migratory departure, these godwits would shrink the digestive organs used during fuel deposition and boost the size and capacity of exercise organs to optimize flight performance. Here we document the verity of the proposed physiomorphic changes by comparing organ sizes and body composition of bar-tailed godwits Limosa lapponica baueri collected in modesty midway during their fueling period (mid-September; fueling, n = 7) with the previously published data for godwits that had just departed on their trans-Pacific flight (October 19; flying, n = 9). Mean total body masses for the two groups were nearly identical, but nearly half of the body mass of fueling godwits consisted of water, while fat constituted over half of total body mass of flying godwits. The two groups also differed in their fat-free mass components. The heart and flight muscles were heavier in fueling godwits, but these body components constituted a relatively greater fraction of the fat-free mass in flying godwits. In contrast, organs related to digestion and homeostasis were heavier in fueling godwits, and most of these organ groups were also relatively larger in fueling godwits compared to flying godwits. These results reflect the functional importance of organ and muscle groups related to energy acquisition in fueling godwits and the consequences of flight-related exertion in flying godwits. The extreme physiomorphic changes apparently occurred over a short time window (≤1 month). We conclude that the inferences made on the basis of the 1998 paper were correct. The cues and stimuli which moderate these changes remain to be studied.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2021.685764","usgsCitation":"Piersma, T., Gill, R., and Ruthrauff, D.R., 2021, Physiomorphic transformation in extreme endurance migrants: Revisiting the case of bar-tailed godwits preparing for trans-pacific flights: Frontiers in Ecology and Evolution, v. 9, 685764, 8 p., https://doi.org/10.3389/fevo.2021.685764.","productDescription":"685764, 8 p.","ipdsId":"IP-127977","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":451834,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.685764","text":"Publisher Index Page"},{"id":436302,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GIQ8J2","text":"USGS data release","linkHelpText":"Body Composition of Bar-tailed Godwits (Limosa lapponica)"},{"id":386592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Piersma, Theunis 0000-0001-9668-466X","orcid":"https://orcid.org/0000-0001-9668-466X","contributorId":203123,"corporation":false,"usgs":false,"family":"Piersma","given":"Theunis","email":"","affiliations":[{"id":36570,"text":"NIOZ Royal Netherlands Institute for Sea Research","active":true,"usgs":false}],"preferred":false,"id":817851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":817852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":817853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224953,"text":"70224953 - 2021 - Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile","interactions":[],"lastModifiedDate":"2021-10-11T16:22:31.831914","indexId":"70224953","displayToPublicDate":"2021-06-17T11:17:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile","docAbstract":"

Fate and transport modeling of water-borne contaminants is a data demanding and costly endeavor, requiring considerable expes such, it becomes important to know when a complex modeling approach is required, and when a simpler approach is adequate. This is the main objective herein, where a conservative mixing model is used to characterize the transport of As, Cu, Fe, and SO4. The study area is divided into three sectors, corresponding to the upstream, middle, and downstream portions of the Elqui River Basin, Chile. In Sector 1, acidic conditions result in the conservative transport of constituents that are sourced from acid rock drainage. In Sector 2, pH increases and transport is influenced by pH-dependent reactions and the subsequent settling of the particulate phase. In Sector 3, there are no additional constituent inputs, and the constituents are conservatively transported downstream. Conservative transport within Sector 3 is confirmed through the development of a regression model that provides monthly estimates of SO4 load. Whereas SO4 and Cu concentrations are adequately approximated by the conservative mixing model, estimates of As and Fe concentrations exhibit larger errors, due to the more reactive behavior of these constituents. The fact that the simple, conservative mixing model describes SO4 transport is a valuable result, as this constituent is known to be one of the primary indicators of mining-related contamination in rivers. The approach could also be a useful starting point for further evaluations of the effects of climate change and hydrological variability on the water quality of rivers.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.3823","usgsCitation":"Rossi, C., Oyarzun, J., Pasten, P., Runkel, R.L., Núñez, J., Duhalde, D., Maturana, H., Rojas, E., Arumí, J., Castillo, D., and Oyarzun, R., 2021, Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile: River Research and Applications, v. 37, no. 7, p. 967-978, https://doi.org/10.1002/rra.3823.","productDescription":"12 p.","startPage":"967","endPage":"978","ipdsId":"IP-117538","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":390393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Elqui River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.4605712890625,\n -30.741835717889778\n ],\n [\n -68.8348388671875,\n -30.741835717889778\n ],\n [\n -68.8348388671875,\n -29.176145182559758\n ],\n [\n -71.4605712890625,\n -29.176145182559758\n ],\n [\n -71.4605712890625,\n -30.741835717889778\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Rossi, Catalina","contributorId":267243,"corporation":false,"usgs":false,"family":"Rossi","given":"Catalina","email":"","affiliations":[{"id":55453,"text":"U. La Serena","active":true,"usgs":false}],"preferred":false,"id":824827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyarzun, Jorge","contributorId":267244,"corporation":false,"usgs":false,"family":"Oyarzun","given":"Jorge","email":"","affiliations":[{"id":55453,"text":"U. 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Strategic restoration of altered habitat is one method for addressing worldwide biodiversity declines. Within the sagebrush steppe of western North America, habitat degradation has been linked to declines in many species, making restoration a priority for managers; however, limited funding, spatiotemporal variation in restoration success, and the need to manage for diverse wildlife species make decision-making regarding restoration actions challenging. To address the challenge of spatial conservation prioritization, we developed the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET). This decision support tool utilizes the prioritizr package in program R and an integer linear programming algorithm to select parcels representing both high biodiversity value and high probability of restoration success. We tested PReSET on a sagebrush steppe system within southwestern Wyoming using distributional data for six species with diverse life histories and a spatial layer of predicted sagebrush recovery times to identify restoration targets at both broad and local scales. While the broad-scale portion of our tool outputs can inform policy, the local-scale results can be applied directly to on-the-ground restoration. We identified restoration priority areas with greater precision than existing spatial prioritizations and incorporated range differences among species. We noted tradeoffs, including that restoring for habitat connectivity may require restoration actions in areas with lower probability of success. Future applications of PReSET will draw from emerging datasets, including spatially-varying economic costs of restoration, animal movement data, and additional species, to further improve our ability to target effective sagebrush restoration.

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