A study of ospreys (Pandion haliaetus) nesting in the coastal Inland Bays of Delaware, and the Delaware Bay and Delaware River in 2015 examined spatial and temporal trends in contaminant exposure, food web transfer and reproduction. Concentrations of organochlorine pesticides and metabolites, polychlorinated biphenyls (PCBs), coplanar PCB toxic equivalents, polybrominated diphenyl ethers (PBDEs) and other flame retardants in sample eggs were generally greatest in the Delaware River. Concentrations of legacy contaminants in 2015 Delaware Bay eggs were lower than values observed in the 1970s through early 2000s. Several alternative brominated flame retardants were rarely detected, with only TBPH [bis(2-ethylhexyl)-tetrabromophthalate)] present in 5 of 27 samples at <5 ng/g wet weight. No relation was found between p,p′-DDE, total PCBs or total PBDEs in eggs with egg hatching, eggs lost from nests, nestling loss, fledging and nest success. Osprey eggshell thickness recovered to pre-DDT era values, and productivity was adequate to sustain a stable population. Prey fish contaminant concentrations were generally less than those in osprey eggs, with detection frequencies and concentrations greatest in white perch (Morone americana) from Delaware River compared to the Bay. Biomagnification factors from fish to eggs for p,p′-DDE and total PCBs were generally similar to findings from several Chesapeake Bay tributaries. Overall, findings suggest that there have been improvements in Delaware Estuary waterbird habitat compared to the second half of the 20th century. This trend is in part associated with mitigation of some anthropogenic contaminant threats.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.05.068","usgsCitation":"Rattner, B.A., Lazarus, R.S., Bean, T.G., McGowan, P.C., Callahan, C.R., Erickson, R.A., and Hale, R., 2018, Examination of contaminant exposure and reproduction of ospreys (Pandion haliaetus) nesting in Delaware Bay and River in 2015: Science of the Total Environment, v. 639, p. 596-607, https://doi.org/10.1016/j.scitotenv.2018.05.068.","productDescription":"12 p.","startPage":"596","endPage":"607","ipdsId":"IP-095078","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware Bay and River ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.69030761718749,\n 38.46219172306828\n ],\n [\n -74.83062744140625,\n 38.46219172306828\n ],\n [\n -74.83062744140625,\n 40.113789191575236\n ],\n [\n -75.69030761718749,\n 40.113789191575236\n ],\n [\n -75.69030761718749,\n 38.46219172306828\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"639","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3d4e4b0f5d57878e8fd","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":736774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":205286,"corporation":false,"usgs":false,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":736775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":205287,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"tbean@usgs.gov","middleInitial":"G.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":736776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":736777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":736780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hale, Robert","contributorId":205288,"corporation":false,"usgs":false,"family":"Hale","given":"Robert","affiliations":[{"id":37072,"text":"College of William and Mary, VA","active":true,"usgs":false}],"preferred":false,"id":736779,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198863,"text":"70198863 - 2018 - Nest tree use by Southern flying squirrels in fragmented midwestern landscapes","interactions":[],"lastModifiedDate":"2018-09-28T09:05:16","indexId":"70198863","displayToPublicDate":"2018-08-07T08:35:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Nest tree use by Southern flying squirrels in fragmented midwestern landscapes","docAbstract":"Southern flying squirrels (Glaucomys volans; SFS) nest in naturally formed cavities in snags and hardwoods found in mature, oak (Quercus spp.)–hickory (Carya spp.) forests. Intensive forest fragmentation of the Midwest United States limits the number of available nesting trees. We quantified annual nest‐site selection patterns by southern flying squirrels across fragmented landscapes of west‐central Illinois, USA. We used radiotelemetry to measure nest‐tree use by 55 SFS (30 males, 25 females) captured during 2014–2016. Of 105 nest trees used by SFS, live trees and snags comprised 75% and 25%, respectively. Probability of diurnal nest‐tree use increased 1.08/1.00‐cm increase in diameter‐breast‐height and by 1.50/1‐unit increase in the number of overstory mast trees between random and nest‐tree habitat areas (i.e., 300‐m2 circular plots). Similarly, probability of diurnal nest‐tree use increased 1.29/1‐unit increase in the number of snags between random and nest‐tree habitat areas. Our results revealed no intersexual differences in patterns of nest‐site selection, which may reflect the tendency for SFS to compensate for reduced availability of key structural attributes (i.e., snags, overstory trees) across fragmented forests by exhibiting similar intersexual patterns of nest‐tree use. Use of natural cavities for denning is encouraging, but also underscores the importance of unharvested oak–hickory forests in contributing essential habitat to SFS populations in fragmented Midwestern landscapes.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.901","usgsCitation":"Zweep, J.S., Jacques, C.N., Jenkins, S.E., Klaver, R.W., and Dubay, S.A., 2018, Nest tree use by Southern flying squirrels in fragmented midwestern landscapes: Wildlife Society Bulletin, v. 42, no. 3, p. 430-437, https://doi.org/10.1002/wsb.901.","productDescription":"8 p.","startPage":"430","endPage":"437","ipdsId":"IP-090029","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468515,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1286&context=nrem_pubs","text":"External Repository"},{"id":356684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-07","publicationStatus":"PW","scienceBaseUri":"5b98a289e4b0702d0e842f51","contributors":{"authors":[{"text":"Zweep, James S.","contributorId":199664,"corporation":false,"usgs":false,"family":"Zweep","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":743235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacques, Christopher N.","contributorId":15521,"corporation":false,"usgs":true,"family":"Jacques","given":"Christopher","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":743236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Sean E.","contributorId":199666,"corporation":false,"usgs":false,"family":"Jenkins","given":"Sean","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":743148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubay, Shelli A.","contributorId":171437,"corporation":false,"usgs":false,"family":"Dubay","given":"Shelli","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198523,"text":"70198523 - 2018 - Mechanisms of earthquake‐induced chemical and fluid transport to carbonate groundwater springs after earthquakes","interactions":[],"lastModifiedDate":"2018-09-28T09:09:43","indexId":"70198523","displayToPublicDate":"2018-08-06T16:56:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of earthquake‐induced chemical and fluid transport to carbonate groundwater springs after earthquakes","docAbstract":"Mechanisms by which hydrochemical changes occur after earthquakes are not well documented. We use the 2016–2017 central Italy seismic sequence, which caused notable hydrochemical transient variations in groundwater springs to address this topic, with special reference to effects on fractured carbonate aquifers. Hydrochemistry measured before and after the earthquakes at four springs at varying distances from the epicenters all showed immediate postmainshock peaks in trace element concentrations but little change in major elements. Most parameters returned to preearthquake values before the last events of the seismic sequence. The source of solutes, particularly trace elements, is longer residence time pore water stored in slow‐moving fractures or abandoned karstic flow paths. These fluids were expelled into the main flow paths after an increase in pore pressure, hydraulic conductivity, and shaking from coseismic aquifer stress. The weak response to the later earthquakes is explained by progressive depletion of high solute fluids as earlier shocks flushed out the stored fluids in the fractures. Spring δ13CDIC values closest to a deep magma source to the west became enriched relative to preearthquake values following the 24 August event. This enrichment indicates input from deeply sourced dissolved CO2 gas after dilation of specific fault conduits. Differences in carbon isotopic responses between springs are attributed to proximity to the deep gaseous CO2 source. Most of the transient chemical changes seen in the three fractured carbonate aquifers are attributed to local shaking and emptying of isolated pores and fractures and are not from rapid upward movement of deep fluids.
","language":"English","publisher":"AGU","doi":"10.1029/2017WR022097","usgsCitation":"Rosen, M.R., Binda, G., Archer, C., Pozzi, A., Michetti, A., and Noble, P., 2018, Mechanisms of earthquake‐induced chemical and fluid transport to carbonate groundwater springs after earthquakes: Water Resources Research, v. 54, no. 8, p. 5225-5244, https://doi.org/10.1029/2017WR022097.","productDescription":"20 p.","startPage":"5225","endPage":"5244","ipdsId":"IP-091568","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":468516,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017wr022097","text":"Publisher Index Page"},{"id":356228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 12.623291015625,\n 42.039094188385945\n ],\n [\n 13.82354736328125,\n 42.039094188385945\n ],\n [\n 13.82354736328125,\n 43.00665566595925\n ],\n [\n 12.623291015625,\n 43.00665566595925\n ],\n [\n 12.623291015625,\n 42.039094188385945\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-06","publicationStatus":"PW","scienceBaseUri":"5b6fc3d4e4b0f5d57878e8ff","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binda, Gilberto 0000-0001-5530-3939","orcid":"https://orcid.org/0000-0001-5530-3939","contributorId":206790,"corporation":false,"usgs":false,"family":"Binda","given":"Gilberto","email":"","affiliations":[{"id":37402,"text":"Università degli Studi dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":741778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":741779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pozzi, Andrea","contributorId":206791,"corporation":false,"usgs":false,"family":"Pozzi","given":"Andrea","email":"","affiliations":[{"id":37402,"text":"Università degli Studi dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":741780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michetti, Alessandro 0000-0002-1775-1340","orcid":"https://orcid.org/0000-0002-1775-1340","contributorId":206792,"corporation":false,"usgs":false,"family":"Michetti","given":"Alessandro","email":"","affiliations":[{"id":37402,"text":"Università degli Studi dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":741781,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":741782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198508,"text":"70198508 - 2018 - The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes","interactions":[],"lastModifiedDate":"2018-08-06T14:53:30","indexId":"70198508","displayToPublicDate":"2018-08-06T14:53:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes","docAbstract":"In this review article, we trace the history of events leading to the development of individual-based models (IBMs) to represent aquatic organisms in rivers and streams. As a metaphor, we present this history as a series of confluences between individual scientists (tributaries) sharing ideas. We describe contributions of these models to science and management. One iconic feature of river IBMs is the linkage between flow and the physical habitat experienced by individual animals, and the first model that focused on this linkage is briefly described. We continue by reviewing the contributions of riverine IBMs to eight broad areas of scientific inquiry. The first four areas include research to understand 1) the effects of flow regimes on fish populations, 2) species interactions (e.g., size-mediated competition and predation), 3) fish movement and habitat selection, and 4) contaminant and water quality impacts on populations. Next, we review research using IBMs 5) to guide conservation biology of imperiled taxa through population viability analysis, including research 6) to understand river fragmentation by dams and reconnection, 7) to understand genetic outcomes for riverine metapopulations, and 8) to anticipate the future effects of temperature and climate change. This rich body of literature has contributed to both theoretical insights (e.g., about animal behavior and life history) and applied insights (e.g., population-level effects of flow regimes, temperature, and the effects of hydropower and other industries that share rivers with aquatic biota). We finish by exploring promising branches that lie ahead in the braided, downstream channel that represents future river modeling research.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.06.013","usgsCitation":"Jager, H.I., and DeAngelis, D.L., 2018, The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes: Ecological Modelling, v. 384, p. 341-352, https://doi.org/10.1016/j.ecolmodel.2018.06.013.","productDescription":"12 p.","startPage":"341","endPage":"352","ipdsId":"IP-095746","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1461059","text":"Publisher Index Page"},{"id":356209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3d6e4b0f5d57878e901","contributors":{"authors":[{"text":"Jager, Henriette I.","contributorId":206774,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","email":"","middleInitial":"I.","affiliations":[{"id":37400,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee","active":true,"usgs":false}],"preferred":false,"id":741717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741716,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198460,"text":"70198460 - 2018 - Exploring the pathology of an epidermal disease affecting a circum-Antarctic sea star","interactions":[],"lastModifiedDate":"2018-08-06T12:57:39","indexId":"70198460","displayToPublicDate":"2018-08-06T12:57:36","publicationYear":"2018","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":"Exploring the pathology of an epidermal disease affecting a circum-Antarctic sea star","docAbstract":"Over the past decade, unusual mortality outbreaks have decimated echinoderm populations over broad geographic regions, raising awareness globally of the importance of investigating such events. Echinoderms are key components of marine benthos for top-down and bottom-up regulations of plants and animals; population declines of these individuals can have significant ecosystem-wide effects. Here we describe the first case study of an outbreak affecting Antarctic echinoderms and consisting of an ulcerative epidermal disease affecting ~10% of the population of the keystone asteroid predator Odontaster validus at Deception Island, Antarctica. This event was first detected in the Austral summer 2012–2013, coinciding with unprecedented high seawater temperatures and increased seismicity. Histological analyses revealed epidermal ulceration, inflammation, and necrosis in diseased animals. Bacterial and fungal alpha diversity was consistently lower and of different composition in lesioned versus unaffected tissues (32.87% and 16.94% shared bacterial and fungal operational taxonomic units OTUs respectively). The microbiome of healthy stars was more consistent across individuals than in diseased specimens suggesting microbial dysbiosis, especially in the lesion fronts. Because these microbes were not associated with tissue damage at the microscopic level, their contribution to the development of epidermal lesions remains unclear. Our study reveals that disease events are reaching echinoderms as far as the polar regions thereby highlighting the need to develop a greater understanding of the microbiology and physiology of marine diseases and ecosystems health, especially in the era of global warming.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-29684-0","usgsCitation":"Nunez-Pons, L., Work, T.M., Angulo-Preckler, C., Moles, J., and Avila, C., 2018, Exploring the pathology of an epidermal disease affecting a circum-Antarctic sea star: Scientific Reports, v. 8, no. 1, p. 1-12, https://doi.org/10.1038/s41598-018-29684-0.","productDescription":"Article 11353; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-092211","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-29684-0","text":"Publisher Index Page"},{"id":356198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-27","publicationStatus":"PW","scienceBaseUri":"5b6fc3d7e4b0f5d57878e903","contributors":{"authors":[{"text":"Nunez-Pons, Laura","contributorId":206703,"corporation":false,"usgs":false,"family":"Nunez-Pons","given":"Laura","email":"","affiliations":[{"id":37375,"text":"Section Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn (SZN), Villa Comunale 80121, Napoli, Italia","active":true,"usgs":false}],"preferred":false,"id":741515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":741514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angulo-Preckler, Carlos","contributorId":206704,"corporation":false,"usgs":false,"family":"Angulo-Preckler","given":"Carlos","email":"","affiliations":[{"id":37376,"text":"Department of Evolutionary Biology Ecology and Environmental Sciences, and Biodiversity Research Institute (IrBIO), University of Barcelona, Faculty of Biology, Av. Diagonal 643, 08028, Barcelona, Catalonia","active":true,"usgs":false}],"preferred":false,"id":741516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moles, Juan","contributorId":206705,"corporation":false,"usgs":false,"family":"Moles","given":"Juan","email":"","affiliations":[{"id":37377,"text":"Museum of Comparative Zoology & Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA","active":true,"usgs":false}],"preferred":false,"id":741517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Avila, Conxita","contributorId":206706,"corporation":false,"usgs":false,"family":"Avila","given":"Conxita","email":"","affiliations":[{"id":37378,"text":"4Department of Evolutionary Biology Ecology and Environmental Sciences, and Biodiversity Research Institute (IrBIO), University of Barcelona, Faculty of Biology, Av. Diagonal 643, 08028, Barcelona, Catalonia","active":true,"usgs":false}],"preferred":false,"id":741518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198462,"text":"70198462 - 2018 - Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest","interactions":[],"lastModifiedDate":"2018-08-30T14:50:53","indexId":"70198462","displayToPublicDate":"2018-08-06T12:55:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest","title":"Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest","docAbstract":"Comparative landscape genetics has uncovered high levels of variability in which landscape factors affect connectivity among species and regions. However, the relative importance of species traits versus environmental variation for predicting landscape patterns of connectivity is unresolved. We provide evidence from a landscape genetics study of two sister taxa of frogs, the Oregon spotted frog (Rana pretiosa) and the Columbia spotted frog (Rana luteiventris) in Oregon and Idaho, USA. Rana pretiosa is relatively more dependent on moisture for dispersal than R. luteiventris, so if species traits influence connectivity, we predicted that connectivity among R. pretiosa populations would be more positively associated with moisture than R. luteiventris. However, if environmental differences are important drivers of gene flow, we predicted that connectivity would be more positively related to moisture in arid regions. We tested these predictions using eight microsatellite loci and gravity models in two R. pretiosaregions and four R. luteiventris regions (n = 1,168 frogs). In R. pretiosa, but not R. luteiventris, connectivity was positively related to mean annual precipitation, supporting our first prediction. In contrast, connectivity was not more positively related to moisture in more arid regions. Various temperature metrics were important predictors for both species and in all regions, but the directionality of their effects varied. Therefore, the pattern of variation in drivers of connectivity was consistent with predictions based on species traits rather than on environmental variation.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14798","usgsCitation":"Robertson, J.M., Murphy, M.A., Pearl, C., Adams, M.J., Paez-Vacas, M.I., Haig, S.M., Pilliod, D.S., Storfer, A., and Funk, W., 2018, Regional variation in drivers of connectivity for two frog species (Rana pretiosa and R. luteiventris) from the U.S. Pacific Northwest: Molecular Ecology, v. 27, no. 16, p. 3242-3256, https://doi.org/10.1111/mec.14798.","productDescription":"15 p.","startPage":"3242","endPage":"3256","ipdsId":"IP-090907","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":356197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 42\n ],\n [\n -116,\n 42\n ],\n [\n -116,\n 45\n ],\n [\n -124,\n 45\n ],\n [\n -124,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b6fc3d8e4b0f5d57878e905","contributors":{"authors":[{"text":"Robertson, Jeanne M.","contributorId":147052,"corporation":false,"usgs":false,"family":"Robertson","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":16778,"text":"Biology Department, California State University Northbridge","active":true,"usgs":false}],"preferred":false,"id":741521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Melanie A.","contributorId":176870,"corporation":false,"usgs":false,"family":"Murphy","given":"Melanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741522,"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":741523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":741520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paez-Vacas, Monica I.","contributorId":206707,"corporation":false,"usgs":false,"family":"Paez-Vacas","given":"Monica","email":"","middleInitial":"I.","affiliations":[{"id":37379,"text":"Universidad Tecnológica Indoamérica","active":true,"usgs":false}],"preferred":false,"id":741524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","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":741525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","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":741526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Storfer, Andrew","contributorId":206708,"corporation":false,"usgs":false,"family":"Storfer","given":"Andrew","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":741527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":741528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198467,"text":"70198467 - 2018 - Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA","interactions":[],"lastModifiedDate":"2018-08-06T12:50:50","indexId":"70198467","displayToPublicDate":"2018-08-06T12:50:40","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA","docAbstract":"The Paria Plateau is a potentially important but relatively unstudied aeolian sand source area in the Grand Canyon region of Arizona, USA. This study used unmanned aerial vehicle(UAV) - based LiDAR and structure-from-motion (SfM) photogrammetry to produce high-resolution topographic models of aeolian dunes on the plateau. We combined the dune topography data with a high-resolution satellite image maximum likelihood classification (producer's accuracy = 87.2%) to quantify potential aeolian sand source areas across the 958 km2 plateau. We mapped all the unvegetated active aeolian dunes on the plateau and estimate they contain 24 Tg of sand, and could, therefore, be a proportionately important regional sand source considering the annual sand loads of the downwind Paria River at its confluence with the Colorado River are generally <1 Tg. The results and data from this study could be useful for future investigations that wish to explicitly link aeolian sand on the Paria Plateau to downwind sediment dynamics in the region. The methodology for UAV and satellite remote sensing that we demonstrate could be applied to quantify sand at large geographic extents in other aeolian environments around the world.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.07.023","usgsCitation":"Solazzo, D., Sankey, J.B., Sankey, T.T., and Munson, S.M., 2018, Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA: Geomorphology, v. 319, p. 174-185, https://doi.org/10.1016/j.geomorph.2018.07.023.","productDescription":"12 p.","startPage":"174","endPage":"185","ipdsId":"IP-088433","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":356196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Paria Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.08389282226561,\n 36.686591910212194\n ],\n [\n -111.59843444824219,\n 36.686591910212194\n ],\n [\n -111.59843444824219,\n 37.00035919622158\n ],\n [\n -112.08389282226561,\n 37.00035919622158\n ],\n [\n -112.08389282226561,\n 36.686591910212194\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"319","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3dae4b0f5d57878e907","contributors":{"authors":[{"text":"Solazzo, Daniel","contributorId":206775,"corporation":false,"usgs":false,"family":"Solazzo","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":741718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":741719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":741720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":741721,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198422,"text":"sir20185053 - 2018 - An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data","interactions":[],"lastModifiedDate":"2018-08-07T13:33:46","indexId":"sir20185053","displayToPublicDate":"2018-08-06T12:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5053","title":"An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data","docAbstract":"An exploratory discrete Bayesian network (BN) was developed to assess the potential of this type of model for estimating the magnitudes and uncertainties of an arbitrary subset of unmeasured water-quality parameters given the measured complement of parameters historically measured at a U.S. Geological Survey streamgage. Water-quality data for 27 water-quality parameters from 596 discrete measurements at U.S. Geological Survey streamgage 03374100 White River at Hazleton, Indiana, were used to develop this BN. Data for each of the water-quality parameters were discretized into five intervals based on the quintiles of the measured values. The 596 discrete measurements were randomly partitioned into a training set with 80 percent of the data and a testing set with 20 percent of the data to identify, estimate, and assess the training and testing accuracy of the Bayesian network.
A BN with 28 nodes was formed from the 27 water-quality parameters and the month of sample collection. Based on data in the training set, a network with 53 directed edges and month as the target node was identified by minimizing the negative log-likelihood function for all nodes treated, in turn, as the target variable. The edge structure determines the number and magnitude of elements in conditional probability tables associated with all nodes.
The effectiveness of the BN was assessed on the basis of correct classification rates to one of the five discrete intervals, which were computed separately for the training and testing datasets and for two conditioning variable sets. The selected sets of conditioning variables represent two of many possible sets of measured parameters on which to base estimates of unmeasured parameters. The first set includes only the month of sample collection (month), and an expanded set includes month and six other continuously measurable parameters, referred to as the ContMeasSet, all of which were obtained from the discrete data.
Results indicated that the training dataset had average correct classification rates of 41.7- and 61.2-percent rates conditioned on the month and ContMeasSet sets, respectively. The testing dataset had somewhat lower average correct classification rates of 40.8 and 56.5 percent for the two conditioning variable sets. When conditioned on month only, the average correct classification rate for the testing dataset was only slightly lower than the average correct classification rate in the training dataset, indicating little model overfitting. When using the ContMeasSet, however, the average decrease in accuracy between training and testing sets was 4.9 percent. The training and testing datasets and both sets of conditioning variables, however, indicate that the BN would substantially outperform a random assignment model, which would be expected to have a 20-percent correct classification rate. In addition, the edge structure of the BN depicts how information can flow through the network, which may help prioritize parameters for measurement to facilitate estimation of unmeasured parameters. Finally, extension of a static BN, like the one developed in this report, to a dynamic BN may provide a basis for using high-frequency or continuous water-quality data to extend information in time between discrete water-quality samples, and this integration could mitigate some of the limitations of high-frequency and discrete water-quality sampling methods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185053","collaboration":"National Water-Quality Program","usgsCitation":"Holtschlag, D.J., 2018, An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data: U.S. Geological Survey Scientific Investigations ReportDirector, Michigan Water Science Center
U.S. Geological Survey
6520 Mercantile Way, Suite 5
Lansing, MI 48911
A little more than 760 ka ago, a supervolcano on the eastern edge of California (United States) underwent one of North America's largest Quaternary explosive eruptions. Over this ~6-day-long eruption, pyroclastic flows blanketed the surrounding ~50 km with more than 1400 km3 of the now-iconic Bishop Tuff, with ashfall reaching as far east as Nebraska. Collapse of the volcano's magma reservoir created the restless Long Valley Caldera. Although no rhyolitic eruptions have occurred in 100 k.y., beginning in 1978, ongoing uplift suggests new magma may have intruded into the reservoir. Alternatively, the reservoir could be approaching final crystallization, with present-day uplift related to the expulsion of fluid from the last vestiges of melt. Despite 40 years of diverse investigations, the presence of large volumes of melt in Long Valley's magma reservoir remain unresolved. Here we show, through full waveform seismic tomography, a mid-crustal zone of low shear-wave velocity. We estimate the reservoir contains considerable quantities of melt, >1000 km3, at melt fractions as high as ~27%. While supervolcanoes like Long Valley are rare, understanding the volume and concentration of melt in their magma reservoirs is critical for determining their potential hazard.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G45094.1","usgsCitation":"Flinders, A.F., Shelly, D.R., Dawson, P.B., Hill, D.P., Tripoli, B., and Shen, Y., 2018, Seismic evidence for significant melt beneath the Long Valley Caldera, California, USA: Geology, v. 46, no. 9, p. 799-802, https://doi.org/10.1130/G45094.1.","productDescription":"4 p.","startPage":"799","endPage":"802","ipdsId":"IP-094906","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":460869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g45094.1","text":"Publisher Index Page"},{"id":356189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120,\n 37\n ],\n [\n -118,\n 37\n ],\n [\n -118,\n 38.75\n ],\n [\n -120,\n 38.75\n ],\n [\n -120,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-02","publicationStatus":"PW","scienceBaseUri":"5b6fc3dce4b0f5d57878e90d","contributors":{"authors":[{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":741635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":741636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. 0000-0002-1619-2006 dhill@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-2006","contributorId":206752,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"dhill@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tripoli, Barbara 0000-0002-1663-3991","orcid":"https://orcid.org/0000-0002-1663-3991","contributorId":206753,"corporation":false,"usgs":false,"family":"Tripoli","given":"Barbara","email":"","affiliations":[{"id":37390,"text":"Department of Earth and Planetary Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":741639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shen, Yang","contributorId":206754,"corporation":false,"usgs":false,"family":"Shen","given":"Yang","affiliations":[{"id":37391,"text":"University of Rhode Island, Graduate School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":741640,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198486,"text":"70198486 - 2018 - International meeting on sarcoptic mange in wildlife, June 2018, Blacksburg, Virginia, USA","interactions":[],"lastModifiedDate":"2018-08-06T12:07:50","indexId":"70198486","displayToPublicDate":"2018-08-06T12:07:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3010,"text":"Parasites & Vectors","printIssn":"1756-3305","active":true,"publicationSubtype":{"id":10}},"title":"International meeting on sarcoptic mange in wildlife, June 2018, Blacksburg, Virginia, USA","docAbstract":"Sarcoptic mange is a globally distributed disease caused by the burrowing mite Sarcoptes scabiei, which also causes scabies in humans. A wide and increasing number of wild mammal species are reported to be susceptible to mange; however, the impacts of the disease in wildlife populations, mechanisms involved in its eco-epidemiological dynamics, and risks to public and ecosystem health are still unclear. Major gaps exist concerning S. scabiei host specificity and the mechanisms involved in the different presentations of the disease, which change between individuals and species. Immunological responses to the mite may have a relevant role explaining these different susceptibilities, as these affect the clinical signs, and consequently, the severity of the disease. Recently, some studies have suggested sarcoptic mange as an emerging threat for wildlife, based on several outbreaks with increased severity, geographical expansions, and novel wild hosts affected. Disease ecology experts convened for the “International Meeting on Sarcoptic Mange in Wildlife” on 4–5 June 2018, hosted by the Department of Fish and Wildlife Conservation at Virginia Tech in Blacksburg, Virginia, USA. The meeting had a structure of (i) pre-workshop review; (ii) presentation and discussions; and (iii) identification of priority research questions to understand sarcoptic mange in wildlife. The workgroup concluded that research priorities should be on determining the variation in modes of transmission for S. scabiei in wildlife, factors associated with the variation of disease severity among species, and long-terms effects of the mange in wildlife populations. In this note we summarize the main discussions and research gaps identified by the experts.
","language":"English","publisher":"BMC","doi":"10.1186/s13071-018-3015-1","usgsCitation":"Astorga, F., Carver, S., Almberg, E.S., Sousa, G.R., Wingfield, K., Niedringhaus, K.D., Van Wick, P., Rossi, L., Xie, Y., Cross, P.C., Angelone, S., Gortazar, C., and Escobar, L.E., 2018, International meeting on sarcoptic mange in wildlife, June 2018, Blacksburg, Virginia, USA: Parasites & Vectors, v. 11, p. 1-10, https://doi.org/10.1186/s13071-018-3015-1.","productDescription":"Article 449; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-098880","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13071-018-3015-1","text":"Publisher Index Page"},{"id":356188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b6fc3dfe4b0f5d57878e90f","contributors":{"authors":[{"text":"Astorga, Francisca","contributorId":206755,"corporation":false,"usgs":false,"family":"Astorga","given":"Francisca","email":"","affiliations":[{"id":37392,"text":"Department of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carver, Scott 0000-0002-3579-7588","orcid":"https://orcid.org/0000-0002-3579-7588","contributorId":197456,"corporation":false,"usgs":false,"family":"Carver","given":"Scott","email":"","affiliations":[],"preferred":false,"id":741644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Almberg, Emily S.","contributorId":198304,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":741645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sousa, Giovane R.","contributorId":206757,"corporation":false,"usgs":false,"family":"Sousa","given":"Giovane","email":"","middleInitial":"R.","affiliations":[{"id":37394,"text":"Division of Immunology, Harvard Medical School","active":true,"usgs":false}],"preferred":false,"id":741646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wingfield, Kimberly","contributorId":206762,"corporation":false,"usgs":false,"family":"Wingfield","given":"Kimberly","email":"","affiliations":[{"id":37398,"text":"Virginia-Maryland College of Veterinary Medicine, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Niedringhaus, Kevin D.","contributorId":206758,"corporation":false,"usgs":false,"family":"Niedringhaus","given":"Kevin","email":"","middleInitial":"D.","affiliations":[{"id":37395,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":741647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Wick, Peach","contributorId":206759,"corporation":false,"usgs":false,"family":"Van Wick","given":"Peach","email":"","affiliations":[{"id":37079,"text":"Wildlife Center of Virginia","active":true,"usgs":false}],"preferred":false,"id":741648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rossi, Luca","contributorId":206760,"corporation":false,"usgs":false,"family":"Rossi","given":"Luca","email":"","affiliations":[{"id":37396,"text":"Università degli Studi di Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":741649,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xie, Yue","contributorId":206761,"corporation":false,"usgs":false,"family":"Xie","given":"Yue","email":"","affiliations":[{"id":37397,"text":"Department of Parasitology, College of Veterinary Medicine, Sichuan Agricultural University, China","active":true,"usgs":false}],"preferred":false,"id":741650,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":741641,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Angelone, Samer","contributorId":206763,"corporation":false,"usgs":false,"family":"Angelone","given":"Samer","email":"","affiliations":[{"id":37399,"text":"University of Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":741652,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gortazar, Christian 0000-0003-0012-4006","orcid":"https://orcid.org/0000-0003-0012-4006","contributorId":206756,"corporation":false,"usgs":false,"family":"Gortazar","given":"Christian","email":"","affiliations":[{"id":37393,"text":"Universidad de Castilla-La Mancha, Spain","active":true,"usgs":false}],"preferred":false,"id":741643,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Escobar, Luis E.","contributorId":178962,"corporation":false,"usgs":false,"family":"Escobar","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741653,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70198472,"text":"70198472 - 2018 - Pliocene erosional pulse and glacier-landscape feedbacks in the western Alaska Range","interactions":[],"lastModifiedDate":"2018-09-25T14:35:27","indexId":"70198472","displayToPublicDate":"2018-08-06T12:04:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pliocene erosional pulse and glacier-landscape feedbacks in the western Alaska Range","docAbstract":"Pliocene–Pleistocene glaciation modified the topography and erosion of most middle- and high-latitude mountain belts, because the evolution of catchment topography controls long-term glacier mass balance and erosion. Hence, characterizing how erosion rates change during repeated glaciations can help test hypothesized glacier erosion-landscape feedbacks across a range of settings. To better understand how glaciations and landscapes coevolve on geologic timescales, I quantify erosion rates in the glaciated western Alaska Range with low-temperature thermochronometric data and modeling. Zircon (U–Th)/He and apatite fission track data suggest mountain-building was underway by the early Miocene. In contrast, lower-temperature apatite (U–Th)/He age-elevation and grain age-kinetic data indicate that erosion accelerated coincident with regional Pliocene glaciation ca. 4 Ma. Furthermore, erosion rates calculated within an eroding half-space indicate slow erosion at a rate ≤0.3 km/m.y. before 4.2 Ma, an initial pulse of rapid erosion at a rate of 1.0–1.6 km/m.y. during 4.2–2.9 Ma, and more moderate erosion at a rate of 0.4–0.7 km/m.y. since 2.9 Ma. The initial erosion pulse suggests a significant transient landscape adjustment to the introduction of efficient glacial erosion. The subsequent decrease in Pleistocene erosion rates is consistent with a negative feedback between continuing glaciation and glacier size/erosivity: If glacial erosion outpaces rock uplift, glacier erosion decreases over time as topography, mass balance, valley gradients, and ice flux are reduced. These findings imply that in areas of moderate rock uplift rates, the onset of local Plio–Pleistocene glaciation may have been punctuated by an initial pulse of rapid landscape change, after which change became more gradual.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.06.009","usgsCitation":"Lease, R.O., 2018, Pliocene erosional pulse and glacier-landscape feedbacks in the western Alaska Range: Earth and Planetary Science Letters, v. 497, p. 62-68, https://doi.org/10.1016/j.epsl.2018.06.009.","productDescription":"7 p.","startPage":"62","endPage":"68","ipdsId":"IP-080067","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":468520,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2018.06.009","text":"Publisher Index Page"},{"id":437800,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZNIHT7","text":"USGS data release","linkHelpText":"Low-Temperature Thermochronometric Data from the Revelation Mountains, Western Alaska Range, 2013-2018"},{"id":356187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.33,\n 61.33\n ],\n [\n -153.67,\n 61.33\n ],\n [\n -153.67,\n 61.83\n ],\n [\n -154.33,\n 61.83\n ],\n [\n -154.33,\n 61.33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"497","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3dfe4b0f5d57878e911","contributors":{"authors":[{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":741561,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70198475,"text":"70198475 - 2018 - Growth stress response to sea level rise in species with contrasting functional traits: A case study in tidal freshwater forested wetlands","interactions":[],"lastModifiedDate":"2018-08-06T12:01:45","indexId":"70198475","displayToPublicDate":"2018-08-06T12:01:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1575,"text":"Environmental and Experimental Botany","active":true,"publicationSubtype":{"id":10}},"title":"Growth stress response to sea level rise in species with contrasting functional traits: A case study in tidal freshwater forested wetlands","docAbstract":"With rising sea levels, mortality of glycophytes can be caused by water and nutrient stress under increasing salinity. However, the relative effects of these two stressors may vary by species-specific functional traits. For example, deciduous species, with leaves typically emerging during low salinity periods of the year, may suffer less from water stress than evergreen species. We sampled two woody species with contrasting functional traits: the evergreen and N2-fixing waxmyrtle (Morella cerifera), and the deciduous and non-N2 fixing baldcypress (Taxodium distichum) along a coastal river (South Carolina, USA) showing an increasing pattern of plant mortality along a salinity gradient. We first analyzed oxygen and hydrogen isotope ratios of plant stem water and river water to determine changes in plant source water at different sites. Then we analyzed foliar carbon and nitrogen isotope ratios (δ13C and δ15N) along with nitrogen and phosphorous content (%N and %P) as proxies for the water and nutrient stress. Results showed that: (1) the two species had different water sources at the higher salinity sites; (2) foliar δ15N values of baldcypress decreased with higher salinity while retaining a constant δ13C value, and both of these isotope values were positively related with foliar %P, suggesting greater nutrient stress but minor water stress under high salinity; and (3) foliar δ13C values of waxmyrtle increased with higher salinity while retaining a constant foliar δ15N value, and neither of the values was significantly related to foliar nutrients, suggesting greater water stress but minor nutrient stress under high salinity. The different responses of the two species to high salinity may be related to their differences in leaf phenology and N2-fixation. Our results suggest that nutrient stress, particularly of P, can contribute to stress and eventual high mortality of baldcypress exposed to salt water intrusion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envexpbot.2018.07.023","usgsCitation":"Zhai, L., Krauss, K.W., Liu, X., Duberstein, J., Conner, W.H., DeAngelis, D., and Sternberg, L.D., 2018, Growth stress response to sea level rise in species with contrasting functional traits: A case study in tidal freshwater forested wetlands: Environmental and Experimental Botany, v. 155, p. 378-386, https://doi.org/10.1016/j.envexpbot.2018.07.023.","productDescription":"9 p.","startPage":"378","endPage":"386","ipdsId":"IP-098771","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envexpbot.2018.07.023","text":"Publisher Index Page"},{"id":356186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Sampit River, Waccamaw River","volume":"155","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3e0e4b0f5d57878e913","contributors":{"authors":[{"text":"Zhai, Lu","contributorId":202653,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":741583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":741582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Xin","contributorId":146527,"corporation":false,"usgs":false,"family":"Liu","given":"Xin","email":"","affiliations":[{"id":16715,"text":"Nanjing Forestry University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":741584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":741585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":741586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":741587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sternberg, Leonel d.S.L","contributorId":67051,"corporation":false,"usgs":true,"family":"Sternberg","given":"Leonel","email":"","middleInitial":"d.S.L","affiliations":[],"preferred":false,"id":741588,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227963,"text":"70227963 - 2018 - Posthatch development of otoliths and daily ring genesis in age-0 Spotted Gars","interactions":[],"lastModifiedDate":"2022-02-03T17:57:00.177462","indexId":"70227963","displayToPublicDate":"2018-08-06T11:54:18","publicationYear":"2018","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":"Posthatch development of otoliths and daily ring genesis in age-0 Spotted Gars","docAbstract":"Gars (Lepisosteidae) are increasingly being managed as top-level predators that are important to overall ecosystem health. Given the paucity of information on early life history for many species, additional early life history data would aid in gar conservation and management. Daily rings in otoliths are useful for determining many early life history parameters, such as growth rates and the date of hatch, but properly interpreting these structures requires additional information on otolith formation. Gars represent an ancient lineage, and their otoliths are unlike those of most teleost fishes, having multiple nuclei and being covered on the surface with very small otoconia. We used computed tomography X-ray scanning and oxytetracycline (OTC) marking of a series of known-age fish from hatch through 10–12 d posthatch (dph) to understand the formation of otoliths in the Spotted Gar Lepisosteus oculatus, a species that is of management concern in several parts of its range in North America. The sagittae and lapilli each began as loose associations of otoconia at hatch; they fused and hardened into single crystals by 4 dph, in concert with the transition from attached larvae to free-swimming juveniles. Asteriscus otoliths were not observed in any of the individuals examined through 12 dph. The OTC marks were not observed on individuals treated at hatch, and variable marks were detected at 1–5 dph. By 6 dph, 100% of individuals exhibited OTC marks on sagittae and lapilli. Daily rings could not be discerned until fish were marked at 4 dph, after which daily age estimates increased linearly with fish age. Results of this study verify that in Spotted Gars, otoliths (sagittae and lapilli) and their daily rings form several days after hatch, in relation to the transition from sessile, attached larvae to free-swimming juveniles.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10108","usgsCitation":"Long, J.M., and Snow, R.A., 2018, Posthatch development of otoliths and daily ring genesis in age-0 Spotted Gars: Transactions of the American Fisheries Society, v. 147, no. 6, p. 1146-1152, https://doi.org/10.1002/tafs.10108.","productDescription":"7 p.","startPage":"1146","endPage":"1152","ipdsId":"IP-095980","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake Thunderbird","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.32444763183594,\n 35.18952235197259\n ],\n [\n -97.2015380859375,\n 35.18952235197259\n ],\n [\n -97.2015380859375,\n 35.307841060728215\n ],\n [\n -97.32444763183594,\n 35.307841060728215\n ],\n [\n -97.32444763183594,\n 35.18952235197259\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":264712,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":832813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200850,"text":"70200850 - 2018 - Cougar dispersal and natal homing in a desert environment","interactions":[],"lastModifiedDate":"2018-11-07T09:27:32","indexId":"70200850","displayToPublicDate":"2018-08-06T08:37:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Cougar dispersal and natal homing in a desert environment","docAbstract":"We present a review of cougar dispersal literature and the first evidence of natural (i.e., unmanipulated) homing behavior by a dispersing male cougar (Puma concolor) that sustained severe injuries crossing the northern Mojave Desert. Based on Global Positioning System and ground tracking data, the male traveled a total distance of 981.1 km at 5.03 km/d, including 170.31 km from the Desert National Wildlife Refuge to the northwestern Grand Canyon, where he sustained severe injuries. The interkill interval increased from 7.1 ± 2.7 d while he was in his natal range to 17.5 ± 4.9 d during dispersal. While homing, the male appeared to consume only reptiles until he died, 33.7 km from his capture site. In desert environments where prey availability is low, homing behavior may be an important strategy for dispersing cougars, providing a mechanism for persistence when the best quality habitats they encounter are already occupied by adult residents. Therefore, managing for habitat connectivity can ensure successful homing as well as dispersal on a greater scale than has been previously suggested. Elucidating the mechanisms that trigger homing during dispersal may provide critical insight into animal movements often overlooked as mundane behavior.","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.078.0215","usgsCitation":"Choate, D., Longshore, K.M., and Thompson, D.B., 2018, Cougar dispersal and natal homing in a desert environment: Western North American Naturalist, v. 78, no. 2, p. 221-235, https://doi.org/10.3398/064.078.0215.","productDescription":"15 p.","startPage":"221","endPage":"235","ipdsId":"IP-070596","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488801,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol78/iss2/14","text":"External Repository"},{"id":359265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","volume":"78","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be40823e4b0b3fc5cf7cc08","contributors":{"authors":[{"text":"Choate, David 0000-0002-0209-4640","orcid":"https://orcid.org/0000-0002-0209-4640","contributorId":210500,"corporation":false,"usgs":true,"family":"Choate","given":"David","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":750867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Daniel B.","contributorId":193518,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":750869,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198785,"text":"70198785 - 2018 - Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2018-08-24T11:44:58","indexId":"70198785","displayToPublicDate":"2018-08-03T16:34:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska","docAbstract":"During recent decades, lake levels in the Yukon Flats region of interior Alaska have fluctuated dramatically. However, prior to recorded observations, no data are available to indicate if similar or more extreme variations occurred during past centuries and millennia. This study explores the history of Yukon Flats lake origins and lake levels for the past approximately 5,500 years from sediment analyses guided by previous work on permafrost extent, thermokarst, and modern isotope hydrology. Sediments dated by 210Pb and AMS radiocarbon indicate stable chronologies following initial lake initiation. Subsequent lithology is autochthonous, and oxygen isotope ratios of endogenic carbonate reflect lake level change at multiple time scales. Sediment results indicate high lake levels between approximately 4000 and 1850 cal yr BP, which is interpreted to reflect wetter-than-modern conditions. Lower lake levels with short-lived high stands during the past approximately 800 years reflect generally arid conditions with brief wet intervals similar to the region’s moisture regime today. The millennial trend is one of increasing aridity and corresponds closely with fire reconstructions and regional paleoclimatic trends. We conclude that high-magnitude lake-level fluctuations and decadal scale trends occurred before the observational period and are persistent hydroclimatic features of the Yukon Flats region.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2018.1496565","usgsCitation":"Anderson, L., Finney, B.P., and Shapley, M.D., 2018, Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska: Arctic, Antarctic, and Alpine Research, v. 50, no. 1, e1496565; 27 p., https://doi.org/10.1080/15230430.2018.1496565.","productDescription":"e1496565; 27 p.","ipdsId":"IP-082065","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2018.1496565","text":"Publisher Index Page"},{"id":356634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150,\n 64.87825917194242\n ],\n [\n -142,\n 64.87825917194242\n ],\n [\n -142,\n 67.50523546529972\n ],\n [\n -150,\n 67.50523546529972\n ],\n [\n -150,\n 64.87825917194242\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f53","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":742947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finney, Bruce P.","contributorId":199566,"corporation":false,"usgs":false,"family":"Finney","given":"Bruce","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":742948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapley, Mark D.","contributorId":199569,"corporation":false,"usgs":false,"family":"Shapley","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":742949,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198426,"text":"70198426 - 2018 - Piscivore diet shifts and trophic level change after Alewife establishment in Lake Champlain","interactions":[],"lastModifiedDate":"2018-09-20T16:26:24","indexId":"70198426","displayToPublicDate":"2018-08-03T15:23:13","publicationYear":"2018","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":"Piscivore diet shifts and trophic level change after Alewife establishment in Lake Champlain","docAbstract":"Invasions and deliberate introductions of new prey species are likely to affect prey choice and trophic level of resident predators. Rainbow Smelt (Osmerus mordax) and Alewife (Alosa pseudoharengus) are common prey fish species in lakes throughout North America either as native or non‐native species. The establishment of Alewife in the 2000s in a lake with a native Rainbow Smelt population (Lake Champlain) presented an opportunity to study changes in the diet and trophic level of fish already established in the system. Using stable isotope analysis, we found that Alewife became a major component of predator diets, in particular of the diets of Atlantic Salmon (Salmo salar) and Walleye (Sander vitreus). Lake Trout (Salvelinus namaycush) consumed relatively few Alewives. For Walleye (the predator with both pre‐ and post‐Alewife isotope ratios available), the δ15N values decreased significantly from the pre‐Alewife period of the late 1990s, indicating that Walleye feed at lower trophic levels when Alewife are present. Predation on Alewife was correlated with the amount of spatial overlap of predators and prey. Our results show that the introduction of Alewife has altered the predator‐prey linkages in Lake Champlain; alterations that can have major effects on food web structure and trophic cascades.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10080","usgsCitation":"Simonin, P.W., Rudstam, L.G., Parrish, D.L., Pientka, B., and Sullivan, P.J., 2018, Piscivore diet shifts and trophic level change after Alewife establishment in Lake Champlain: Transactions of the American Fisheries Society, v. 147, no. 5, p. 939-947, https://doi.org/10.1002/tafs.10080.","productDescription":"9 p.","startPage":"939","endPage":"947","ipdsId":"IP-086177","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.47656249999999,\n 43.68773584519811\n ],\n [\n -73.05908203125,\n 43.68773584519811\n ],\n [\n -73.05908203125,\n 45.11230010229608\n ],\n [\n -73.47656249999999,\n 45.11230010229608\n ],\n [\n -73.47656249999999,\n 43.68773584519811\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-21","publicationStatus":"PW","scienceBaseUri":"5b6fc3e1e4b0f5d57878e915","contributors":{"authors":[{"text":"Simonin, Paul W.","contributorId":171499,"corporation":false,"usgs":false,"family":"Simonin","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":741386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":741387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pientka, Bernard","contributorId":171500,"corporation":false,"usgs":false,"family":"Pientka","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":741388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Patrick J.","contributorId":187476,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741389,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198294,"text":"ofr20181117 - 2018 - Granite IP network default route disappearance—Diagnosis and solution","interactions":[],"lastModifiedDate":"2018-08-06T11:15:09","indexId":"ofr20181117","displayToPublicDate":"2018-08-03T15:07:41","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1117","title":"Granite IP network default route disappearance—Diagnosis and solution","docAbstract":"The U.S. Geological Survey (USGS) National Strong Motion Project (NSMP) operates numerous strong-motion seismographs to monitor ground shaking and structural response caused by large, nearby earthquakes. This report describes a problem NSMP scientists encountered communicating over the Internet with several Kinemetrics, Inc., Granite strong-motion recorders.
The Granite strong-motion recorders (“Granites”) get into a state where they cannot be reached from the Internet and they cannot reach the Internet, yet they can reach and be reached from the local Ethernet subnet. The reason is that the Internet Protocol (IP) network default route has disappeared; only the local route is available. Diagnosis is complicated by the unpredictability of the circumstances leading to the failure. The failures have happened at several field sites but cannot be reproduced in the lab.
This report describes the IP networking behavior of a Granite system and provides modifications to the Granite Ethernet device drivers to send Ethernet link (carrier) state-change event notifications to the Linux kernel. With these modifications, the Linux netplugd daemon can be configured to properly reconfigure Granite IP networking when the Ethernet interface link state changes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181117","usgsCitation":"Baker, L.M., 2018, Granite IP network default route disappearance—Diagnosis and solution: U.S. Geological Survey Open-File Report 2018–1117, 35 p., https://doi.org/10.3133/ofr20181117.","productDescription":"Report: iv; 35 p.; Electronic Supplement","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078989","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":356156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1117/coverthb.jpg"},{"id":356157,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1117/ofr20181117.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-1117"},{"id":356158,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2018/1117/ofr20181117_electronic_supplement.zip","text":"Electronic Supplement","size":"20 KB","linkFileType":{"id":6,"text":"zip"},"description":"Fact Sheet 2018-1117"}],"contact":"Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
Resource managers benefit from knowledge of angler support for fisheries management strategies. Factors including angler values (protection, utilitarian, and dominance), involvement (attraction, centrality, social, identity affirmation, and expression), catch-related motivations (catching some, many, and big fish, and keeping fish), satisfaction, agency trust, and demographics may relate to fisheries management preferences. Using results from a mail survey of Minnesota resident anglers, we explored how these factors were related to budget support for fish stocking relative to habitat protection/restoration. Results suggest that values, angler involvement, catch orientation, satisfaction, total and recent years fishing, age, and education influence relative support for stocking versus habitat protection/restoration. Utilitarian values, angling centrality, an orientation to catch many fish, satisfaction with the number of fish caught, number of recent years fishing, and age positively related to support for stocking over habitat management, while protection values, attraction to angling, total years fishing, and education level were negatively related to relative support for stocking.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-018-1067-9","usgsCitation":"Schroeder, S., Fulton, D.C., Altena, E., Baird, H., Dieterman, D.J., and Jennings, M., 2018, The influence of angler values, involvement, catch orientation, satisfaction, agency trust, and demographics on support for habitat protection and restoration versus stocking in publicly managed waters: Environmental Management, v. 62, no. 4, p. 665-677, https://doi.org/10.1007/s00267-018-1067-9.","productDescription":"13 p.","startPage":"665","endPage":"677","ipdsId":"IP-083735","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-23","publicationStatus":"PW","scienceBaseUri":"5b6fc3e4e4b0f5d57878e919","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":741576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Altena, Eric","contributorId":206734,"corporation":false,"usgs":false,"family":"Altena","given":"Eric","email":"","affiliations":[],"preferred":false,"id":741577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baird, Heather","contributorId":206735,"corporation":false,"usgs":false,"family":"Baird","given":"Heather","email":"","affiliations":[],"preferred":false,"id":741578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dieterman, Douglas J.","contributorId":147846,"corporation":false,"usgs":false,"family":"Dieterman","given":"Douglas","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":741579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, Martin","contributorId":206736,"corporation":false,"usgs":false,"family":"Jennings","given":"Martin","affiliations":[],"preferred":false,"id":741580,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198413,"text":"70198413 - 2018 - Effects of temperature and precipitation on grassland bird nesting success as mediated by patch size","interactions":[],"lastModifiedDate":"2018-08-03T13:44:41","indexId":"70198413","displayToPublicDate":"2018-08-03T13:44:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temperature and precipitation on grassland bird nesting success as mediated by patch size","docAbstract":"Grassland birds are declining faster than any other bird guild across North America. Shrinking ranges and population declines are attributed to widespread habitat loss and increasingly fragmented landscapes of agriculture and other land uses that are misaligned with grassland bird conservation. Concurrent with habitat loss and degradation, temperate grasslands have been disproportionally affected by climate change relative to most other terrestrial biomes. Distributions of grassland birds often correlate with gradients in climate, but few researchers have explored the consequences of weather on the demography of grassland birds inhabiting a range of grassland fragments. To do so, we modeled the effects of temperature and precipitation on nesting success rates of 12 grassland bird species inhabiting a range of grassland patches across North America (21,000 nests from 81 individual studies). Higher amounts of precipitation in the preceding year were associated with higher nesting success, but wetter conditions during the active breeding season reduced nesting success. Extremely cold or hot conditions during the early breeding season were associated with lower rates of nesting success. The direct and indirect influence of temperature and precipitation on nesting success was moderated by grassland patch size. The positive effects of precipitation in the preceding year on nesting success were strongest in relatively small grassland patches and had little effect in large patches. Conversely, warm temperatures reduced nesting success in small grassland patches but increased nesting success in large patches. Mechanisms underlying these differences may be patch‐size‐induced variation in microclimates and predator activity. Although the exact cause is unclear, large grassland patches, the most common metric of grassland conservation, appears to moderate the effects of weather on grassland‐bird demography and could be an effective component of climate‐change adaptation.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13089","usgsCitation":"Zuckerberg, B., Ribic, C., and McCauley, L.A., 2018, Effects of temperature and precipitation on grassland bird nesting success as mediated by patch size: Conservation Biology, v. 32, no. 4, p. 872-882, https://doi.org/10.1111/cobi.13089.","productDescription":"11 p.","startPage":"872","endPage":"882","ipdsId":"IP-081860","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-25","publicationStatus":"PW","scienceBaseUri":"5b6fc3e6e4b0f5d57878e91b","contributors":{"authors":[{"text":"Zuckerberg, Benjamin","contributorId":200298,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":741562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":741365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCauley, Lisa A. lmccauley@usgs.gov","contributorId":5048,"corporation":false,"usgs":true,"family":"McCauley","given":"Lisa","email":"lmccauley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":741563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198204,"text":"fs20183042 - 2018 - Land treatment exploration tool","interactions":[],"lastModifiedDate":"2025-09-29T13:32:10.800749","indexId":"fs20183042","displayToPublicDate":"2018-08-03T13:12:57","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3042","displayTitle":"Land Treatment Exploration Tool","title":"Land treatment exploration tool","docAbstract":"Land managers make decisions regarding restoration and rehabilitation actions that influence landscapes and ecosystems. Many of these decisions involve soil and vegetation manipulations, often known as land treatments. Historically, treatments were planned on a case by case basis with decisions derived from personal experience of past successes or failures. Current adaptive management strategies require a more structured and robust approach to the planning and implementation of land treatments.
The U.S. Geological Survey partnered with the Bureau of Land Management to create the Land Treatment Exploration Tool to facilitate adaptive management of land treatments. The Exploration Tool taps into a wealth of information about past treatments in the Land Treatment Digital Library (LTDL, https://www.usgs.gov/apps/ltdl).
The Exploration Tool is designed for use by resource managers during the land treatment planning stage. This tool summarizes environmental characteristics of planned treatment areas and facilitates adaptive management practices by comparing those characteristics to similar legacy treatments.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183042","usgsCitation":"Pilliod, D.S., Welty, J.L., Jeffries, M.I., Schueck, L.S., and Zarriello, T.J., 2018, Land treatment exploration tool (rev. 1.3, March 2023): U.S. Geological Survey Fact Sheet 2018-3042, 2 p., https://doi.org/10.3133/fs20183042.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-095871","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":356162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3042/coverthb2.jpg"},{"id":356163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3042/fs20183042.pdf","text":"Report","size":"6.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3042"},{"id":358643,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2018/3042/versionHist.txt","description":"Version History"}],"edition":"Version 1.0: August 2018; Version 1.1: October 2018; Version 1.2: February 2023","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
Secure, reliable, and sustainable water resources are fundamental to food production, energy independence, and the health of humans and ecosystems. But the large-scale development of fresh groundwater resources has stressed aquifers in some areas, causing declines in the amount of groundwater in storage and decreases in discharge to surface-water bodies like rivers and springs (Reilly and others, 2008). In some parts of the southwestern United States, the water supply is not adequate to meet demand without substantial effects on groundwater storage or surface discharge, and severe drought intensifies the stresses affecting water resources.
In support of the national census of water resources, the U.S. Geological Survey (USGS) completed the national brackish groundwater assessment to provide information about brackish groundwater as a potential resource to augment or replace freshwater supplies (Stanton and others, 2017). The objectives of the brackish groundwater assessment were to consolidate available data into a comprehensive database of brackish groundwater resources in the United States and to produce a summary report about the distribution, physical and chemical characteristics, and use of brackish groundwater. This fact sheet summarizes the occurrence of brackish groundwater and factors affecting its usability in the southwestern United States (specifically the Southwest Basins region) reported for the national study. The map below (fig. 1) summarizes the brackish zones for the five largest principal aquifers within the southwestern United States, along with groundwater resources in the remaining part of the region (Reilly and others, 2008).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183010","usgsCitation":"Anning, D.W., Beisner, K.R., Paul, A.P., Stanton, J.S., and Thiros, S.A., 2018, Brackish groundwater and its potential as a resource in the southwestern United States: U.S. Geological Survey Fact Sheet 2018–3010, 6 p., https://doi.org/10.3133/fs20183010.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-093411","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":356134,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3010/fs20183010_.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-3010"},{"id":356133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3010/coverthb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.45312499999999,\n 28.998531814051795\n ],\n [\n -102.6123046875,\n 28.998531814051795\n ],\n [\n -102.6123046875,\n 42.00032514831621\n ],\n [\n -124.45312499999999,\n 42.00032514831621\n ],\n [\n -124.45312499999999,\n 28.998531814051795\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
The instruments installed at Global Seismographic Network (GSN) stations were designed to record Earth’s vibrations, but they sometimes pick up sound waves from unexpected sources. For example, newly installed infrasound sensors at a station on Puerto Rico recorded the passage of Hurricane Maria on 20 September 2017.
","language":"English","publisher":"AGU","doi":"10.1029/2018EO102963","usgsCitation":"Wilson, D.C., Davis, P., Ebeling, C., Hutt, C.R., and Hafner, K., 2018, Seismic sensors record a hurricane’s roar: Eos, Earth and Space Science News, v. 99, HTML Document, https://doi.org/10.1029/2018EO102963.","productDescription":"HTML Document","ipdsId":"IP-094588","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018eo102963","text":"Publisher Index Page"},{"id":357322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fc0e4b0fc368eb53973","contributors":{"authors":[{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Peter","contributorId":207871,"corporation":false,"usgs":false,"family":"Davis","given":"Peter","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":745011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebeling, Carl","contributorId":207872,"corporation":false,"usgs":false,"family":"Ebeling","given":"Carl","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":745012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":745013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hafner, Katrin","contributorId":207873,"corporation":false,"usgs":false,"family":"Hafner","given":"Katrin","affiliations":[{"id":34982,"text":"IRIS","active":true,"usgs":false}],"preferred":false,"id":745014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198388,"text":"70198388 - 2018 - Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes","interactions":[],"lastModifiedDate":"2018-09-20T16:27:37","indexId":"70198388","displayToPublicDate":"2018-08-02T16:15:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes","docAbstract":"Sea‐level rise (SLR) impacts on intertidal habitat depend on coastal topology, accretion, and constraints from surrounding development. Such habitat changes might affect species like Belding's savannah sparrows (Passerculus sandwichensis beldingi; BSSP), which live in high‐elevation salt marsh in the Southern California Bight. To predict how BSSP habitat might change under various SLR scenarios, we first constructed a suitability model by matching bird observations with elevation. We then mapped current BSSP breeding and foraging habitat at six estuarine sites by applying the elevation‐suitability model to digital elevation models. To estimate changes in digital elevation models under different SLR scenarios, we used a site‐specific, one‐dimensional elevation model (wetland accretion rate model of ecosystem resilience). We then applied our elevation‐suitability model to the projected digital elevation models. The resulting maps suggest that suitable breeding and foraging habitat could decline as increased inundation converts middle‐ and high‐elevation suitable habitat to mudflat and subtidal zones. As a result, the highest SLR scenario predicted that no suitable breeding or foraging habitat would remain at any site by 2100 and 2110. Removing development constraints to facilitate landward migration of high salt marsh, or redistributing dredge spoils to replace submerged habitat, might create future high salt marsh habitat, thereby reducing extirpation risk for BSSP in southern California.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4196","usgsCitation":"Rosencranz, J., Thorne, K., Buffington, K., Takekawa, J.Y., Hechinger, R.F., Stewart, T.E., Ambrose, R.F., MacDonald, G.M., Holmgren, M.A., Crooks, J.A., Patton, R.T., and Lafferty, K.D., 2018, Sea‐level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes: Ecology and Evolution, v. 8, no. 16, p. 8115-8125, https://doi.org/10.1002/ece3.4196.","productDescription":"11 p.","startPage":"8115","endPage":"8125","ipdsId":"IP-092761","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468524,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4196","text":"Publisher Index Page"},{"id":437801,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z728B","text":"USGS data release","linkHelpText":"Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110"},{"id":356120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"16","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-22","publicationStatus":"PW","scienceBaseUri":"5b6fc3e8e4b0f5d57878e921","contributors":{"authors":[{"text":"Rosencranz, Jordan 0000-0002-3947-900X","orcid":"https://orcid.org/0000-0002-3947-900X","contributorId":206631,"corporation":false,"usgs":true,"family":"Rosencranz","given":"Jordan","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hechinger, Ryan F.","contributorId":177653,"corporation":false,"usgs":false,"family":"Hechinger","given":"Ryan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":741328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Tara E.","contributorId":178694,"corporation":false,"usgs":false,"family":"Stewart","given":"Tara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ambrose, Richard F.","contributorId":174708,"corporation":false,"usgs":false,"family":"Ambrose","given":"Richard","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":741330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"MacDonald, Glen M.","contributorId":173294,"corporation":false,"usgs":false,"family":"MacDonald","given":"Glen","email":"","middleInitial":"M.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":741331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holmgren, Mark A.","contributorId":206632,"corporation":false,"usgs":false,"family":"Holmgren","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":741332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crooks, Jeff A.","contributorId":206633,"corporation":false,"usgs":false,"family":"Crooks","given":"Jeff","email":"","middleInitial":"A.","affiliations":[{"id":37361,"text":"Tijuana River National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":741333,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Patton, Robert T.","contributorId":195826,"corporation":false,"usgs":false,"family":"Patton","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":741334,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741325,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70198038,"text":"sir20185090 - 2018 - Transport of nitrogen and phosphorus in the Cedar River Basin, Iowa and Minnesota, 2000–15","interactions":[],"lastModifiedDate":"2018-08-02T14:57:20","indexId":"sir20185090","displayToPublicDate":"2018-08-02T15:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5090","title":"Transport of nitrogen and phosphorus in the Cedar River Basin, Iowa and Minnesota, 2000–15","docAbstract":"Nitrate concentrations in the Cedar River in Iowa and Minnesota have increased from an average of less than 1.0 milligram per liter in the early 1900s to more than 5.0 milligrams per liter in the 2000s and have resulted in periodic water-quality impairment of the river. Spatial differences and temporal changes in nitrogen and phosphorus transport in the Cedar River Basin are described for the period from 2000 to 2015. Data used to estimate nitrogen and phosphorus transport were collected by the U.S. Geological Survey as part of six base-flow synoptic studies and by the Minnesota Pollution Control Agency and the Iowa Department of Natural Resources as part of their long-term stream and river monitoring programs. The Cedar River transported an annual average of 53,100 tons of total nitrogen and 2,510 tons of total phosphorus during 2000–15. Three subbasins yielded an annual average of more than 30 pounds per acre (lb/acre) of nitrogen to the Cedar River, whereas two subbasins yielded an annual average of less than 20 lb/acre of nitrogen. The average annual total phosphorus yield from the Little Cedar River subbasin (0.35 lb/acre) was only about 16 percent of the yield from the greatest total phosphorus yielding Lower Cedar River subbasin (more than 1.0 lb/acre). The annual total nitrogen and total phosphorus loads did not change significantly during the study. The relation between annual stream runoff and annual total nitrogen and total phosphorus yields was not spatially uniform across the Cedar River Basin. The Beaver Creek, Black Hawk Creek, and Wolf Creek subbasins yielded the most, and the Main Stem Middle Cedar River, the Lower Cedar River, and the Little Cedar River subbasins yielded the least amount of nitrogen for a given amount of runoff. The Lower Cedar River and Wolf Creek subbasins yielded the most and the West Fork Cedar River and the Little Cedar River subbasins yielded the least phosphorus for a given amount of runoff. The results of this study describe nutrient transport during 2000–15 that can be used to evaluate future progress of nutrient reduction strategies in the Cedar River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185090","collaboration":"Prepared in cooperation with the City of Cedar Rapids, Iowa","usgsCitation":"Kalkhoff, S.J., 2018, Transport of nitrogen and phosphorus in the Cedar River Basin, Iowa and Minnesota, 2000–15: U.S. Geological Survey Scientific Investigations Report 2018–5090, 44 p., https://doi.org/10.3133/sir20185090.","productDescription":"ix, 44 p.","numberOfPages":"58","onlineOnly":"N","ipdsId":"IP-090101","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":355857,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5090/sir20185090.pdf","text":"Report","size":"18.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5090"},{"id":355856,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5090/coverthb.jpg"}],"country":"United States","state":"Iowa, Minnesota","otherGeospatial":"Cedar River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.75,\n 41.25\n ],\n [\n -90.5,\n 41.25\n ],\n [\n -90.5,\n 44\n ],\n [\n -93.75,\n 44\n ],\n [\n -93.75,\n 41.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street
Room 269
Iowa City, Iowa 52240-4105
Extinction rates for island birds around the world have been historically high. For forest passerines, the Hawaiian archipelago has suffered some of the highest extinction rates and reintroduction is a conservation tool that can be used to prevent the extinction of some of the remaining endangered species. Population viability analyses can be used to assess risks to vulnerable populations and evaluate the relative benefits of conservation strategies. Here we present a population viability analysis to assess the long-term viability for Maui parrotbill(s) (Kiwikiu) Pseudonestor xanthophrys, a federally endangered passerine on the Hawaiian island of Maui. Contrary to indications from population monitoring, our results indicate Maui parrotbills may be unlikely to persist beyond 25 years. Our modeling suggests female mortality as a primary factor driving this decline. To evaluate and compare management options involving captive rearing and translocation strategies we made a female-only stage-structured, meta-population simulation model. Due to the low reproductive potential of Maui parrotbills in captivity, the number of individuals (~ 20% of the global population) needed to source a reintroduction solely from captive reared birds is unrealistic. A reintroduction strategy that incorporates a minimal contribution from captivity and instead translocates mostly wild individuals was found to be the most feasible management option. Habitat is being restored on leeward east Maui, which may provide more favorable climate and habitat conditions and promote increased reproductive output. Our model provides managers with benchmarks for fecundity and survival needed to ensure reintroduction success, and highlights the importance of establishing a new population in potentially favorable habitat to ensure long-term persistence.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/072017-JFWM-059","usgsCitation":"Mounce, H.L., Warren, C.C., McGowan, C., Paxton, E., and Groombridge, J., 2018, Extinction risk and conservation options for Maui Parrotbill, an endangered Hawaiian honeycreeper: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 367-382, https://doi.org/10.3996/072017-JFWM-059.","productDescription":"16 p.","startPage":"367","endPage":"382","ipdsId":"IP-064546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/072017-jfwm-059","text":"Publisher Index Page"},{"id":356116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-09","publicationStatus":"PW","scienceBaseUri":"5b6fc3e8e4b0f5d57878e925","contributors":{"authors":[{"text":"Mounce, Hanna L.","contributorId":106004,"corporation":false,"usgs":true,"family":"Mounce","given":"Hanna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":741413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C.","contributorId":88011,"corporation":false,"usgs":true,"family":"Warren","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":741414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. cmcgowan@usgs.gov","contributorId":145496,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":741415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":741416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groombridge, J.J.","contributorId":38369,"corporation":false,"usgs":true,"family":"Groombridge","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":741417,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}