Documenting the impacts of white-nose syndrome (WNS) on demographic patterns, such as annual survivorship and recruitment, is important to understanding the extirpation or possible stabilization and recovery of species over time. To document demographic impacts of WNS on Myotis septentrionalis (Northern Long-eared Bat), we mistnetted at sites in western Virginia where Northern Long-eared Bats were captured in summer before (1990–2009) and after (2011–2013) the onset of WNS. Our mean capture rates per hour, adjusted for area of net and sampling duration, declined significantly from 0.102 bats/ m2/h before WNS to 0.005 bats/m2/h (-95.1%) by 2013. We noted a time lag in the rate of decline between published data based on bats captured during the swarming season and our summer mist-netting captures from the same geographic area. Although proportions of pregnant or lactating females did not vary statistically in samples obtained before and after the onset of WNS, the proportion of juvenile bats declined significantly (-76.7%), indicating that the viability of Northern Long-eared Bats in western Virginia is tenuous.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.023.0201","usgsCitation":"Reynolds, R., Powers, K.E., Orndorff, W., Ford, W.M., and Hobson, C.S., 2016, Changes in rates of capture and demographics of Myotis septentrionalis (Northern Long-eared Bat) in Western Virginia before and after onset of white-nose syndrome: Northeastern Naturalist, v. 23, no. 2, p. 195-204, https://doi.org/10.1656/045.023.0201.","productDescription":"10 p.","startPage":"195","endPage":"204","ipdsId":"IP-070094","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.25537109375,\n 38.42347008084991\n ],\n [\n -79.65362548828125,\n 38.59326051987162\n ],\n [\n -80.15625,\n 37.913867495923746\n ],\n [\n -80.52429199218749,\n 37.505368263398104\n ],\n [\n -81.331787109375,\n 37.330856613297144\n ],\n [\n -81.97998046875,\n 37.55328764595765\n ],\n [\n -83.69384765625,\n 36.59788913307022\n ],\n [\n -79.3487548828125,\n 36.53170884914869\n ],\n [\n -79.25537109375,\n 38.42347008084991\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-07","publicationStatus":"PW","scienceBaseUri":"590454a4e4b022cee40dc240","contributors":{"authors":[{"text":"Reynolds, Richard J.","contributorId":343165,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard J.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":693462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Karen E.","contributorId":171456,"corporation":false,"usgs":false,"family":"Powers","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Wil","contributorId":127487,"corporation":false,"usgs":false,"family":"Orndorff","given":"Wil","affiliations":[{"id":6970,"text":"Virginia Department of Conservation and Recreation, Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":693464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobson, Christopher S.","contributorId":171458,"corporation":false,"usgs":false,"family":"Hobson","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173597,"text":"70173597 - 2016 - Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA","interactions":[],"lastModifiedDate":"2019-12-30T09:16:08","indexId":"70173597","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA","docAbstract":"We modeled patch occupancy to examine factors that best predicted the prevalence of four functionally important focal stream consumers (Tallaperla spp., Cambarus spp.,Pleurocera proxima, and Cottus bairdi) among 37 reaches within the Little Tennessee River basin of the southern Appalachian Mountains, USA. We compared 34 models of patch occupancy to examine the association of catchment and reach scale factors that varied as a result of converting forest to agricultural or urban land use. Occupancy of our taxa was linked to parameters reflecting both catchment and reach extent characteristics. At the catchment level, forest cover or its conversion to agriculture was a major determinant of occupancy for all four taxa. Patch occupancies of Tallaperla, Cambarus, and C. bairdi were positively, and Pleurocera negatively, correlated with forest cover. Secondarily at the reach level, local availability of large woody debris was important forCambarus, availability of large cobble substrate was important for C. bairdi, and stream calcium concentration was important for P. proxima. Our results show the abundance of stream organisms was determined by the taxon-dependent interplay between catchment- and reach-level factors.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-016-2695-9","usgsCitation":"Frisch, J.R., Peterson, J., Cecala, K.K., Maerz, J.C., Jackson, C.R., Gragson, T.L., and Pringle, C., 2016, Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA: Hydrobiologia, v. 773, no. 1, p. 163-175, https://doi.org/10.1007/s10750-016-2695-9.","productDescription":"13 p.","startPage":"163","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054927","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina","otherGeospatial":"Little Tenneessee River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.7295532227,\n 34.867904962568716\n ],\n [\n -83.7295532227,\n 35.36665566526249\n ],\n [\n -83.323059082,\n 35.36665566526249\n ],\n [\n -83.323059082,\n 34.867904962568716\n ],\n [\n -83.7295532227,\n 34.867904962568716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"773","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-22","publicationStatus":"PW","scienceBaseUri":"575fd92fe4b04f417c2baa4e","contributors":{"authors":[{"text":"Frisch, John R.","contributorId":171761,"corporation":false,"usgs":false,"family":"Frisch","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cecala, Kristen K.","contributorId":171762,"corporation":false,"usgs":false,"family":"Cecala","given":"Kristen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":638558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, C. Rhett","contributorId":119155,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":638560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gragson, Ted L.","contributorId":171764,"corporation":false,"usgs":false,"family":"Gragson","given":"Ted","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pringle, Catherine M.","contributorId":104380,"corporation":false,"usgs":true,"family":"Pringle","given":"Catherine M.","affiliations":[],"preferred":false,"id":638562,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70162292,"text":"70162292 - 2016 - Book Review: Potassic igneous rocks and associated gold-copper mineralization, Fourth edition (D. Muller and D.I. Groves)","interactions":[],"lastModifiedDate":"2016-06-29T12:25:26","indexId":"70162292","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book Review: Potassic igneous rocks and associated gold-copper mineralization, Fourth edition (D. Muller and D.I. Groves)","docAbstract":"The fourth edition of this comprehensive textbook, which succeeds those published in 1995, 1997, and 2000, very nicely summarizes the geochemical and petrological characteristics of potassic igneous rock complexes and the different tectonic settings in which they occur. The authors provide an overview and a classification of these rocks and they outline the geochemical differences between barren and mineralized potassic igneous complexes. Owing to the common association of potassic igneous rocks with many gold- and copper-rich ore deposits, this book will be of interest not only to research scientists but also to those exploring for major deposits in young and ancient terranes. In fact, there was a clear attempt by the authors to provide a good mix of theoretical discussions based on experimental work, with case studies that illustrate field and applied research.
\nReview info: Potassic Igneous Rocks and Associated Gold-Copper Mineralization, Fourth Edition. By Daniel Müller, David I. Groves. 2016. ISBN 978-3-319-23051-1. 311 p.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.3.796","usgsCitation":"Kelley, K.D., 2016, Book Review: Potassic igneous rocks and associated gold-copper mineralization, Fourth edition (D. Muller and D.I. Groves): Economic Geology, v. 111, no. 3, p. 796-798, https://doi.org/10.2113/econgeo.111.3.796.","productDescription":"3 p.","startPage":"796","endPage":"798","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071791","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":324615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"5774e329e4b07dd077c5fbe6","contributors":{"authors":[{"text":"Kelley, Karen D. kdkelley@usgs.gov","contributorId":431,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":589135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70179388,"text":"70179388 - 2016 - Trophic dynamics of shrinking Subarctic lakes: naturally eutrophic waters impart resilience to rising nutrient and major ion concentrations","interactions":[],"lastModifiedDate":"2017-04-07T13:58:08","indexId":"70179388","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Trophic dynamics of shrinking Subarctic lakes: naturally eutrophic waters impart resilience to rising nutrient and major ion concentrations","docAbstract":"Shrinking lakes were recently observed for several Arctic and Subarctic regions due to increased evaporation and permafrost degradation. Along with lake drawdown, these processes often boost aquatic chemical concentrations, potentially impacting trophic dynamics. In particular, elevated chemical levels may impact primary productivity, which may in turn influence populations of primary and secondary consumers. We examined trophic dynamics of 18 shrinking lakes of the Yukon Flats, Alaska, that had experienced pronounced increases in nutrient (>200 % total nitrogen, >100 % total phosphorus) and ion concentrations (>100 % for four major ions combined) from 1985-1989 to 2010-2012, versus 37 stable lakes with relatively little chemical change over the same period. We found that phytoplankton stocks, as indexed by chlorophyll concentrations, remained unchanged in both shrinking and stable lakes from the 1980s to 2010s. Moving up the trophic ladder, we found significant changes in invertebrate abundance across decades, including decreased abundance of five of six groups examined. However, these decadal losses in invertebrate abundance were not limited to shrinking lakes, occurring in lakes with stable surface areas as well. At the top of the food web, we observed that probabilities of lake occupancy for ten waterbird species, including adults and chicks, remained unchanged from the period 1985-1989 to 2010-2012. Overall, our study lakes displayed a high degree of resilience to multi-trophic cascades caused by rising chemical concentrations. This resilience was likely due to their naturally high fertility, such that further nutrient inputs had little impact on waters already near peak production.","language":"English","publisher":"Springer","doi":"10.1007/s00442-016-3572-y","usgsCitation":"Lewis, T., Lindberg, M.S., Schmutz, J.A., Heglund, P., Schmidt, J.H., Dubour, A.J., Rover, J.R., and Bertram, M.R., 2016, Trophic dynamics of shrinking Subarctic lakes: naturally eutrophic waters impart resilience to rising nutrient and major ion concentrations: Oecologia, v. 181, no. 2, p. 583-596, https://doi.org/10.1007/s00442-016-3572-y.","productDescription":"14 p.","startPage":"583","endPage":"596","ipdsId":"IP-065514","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":332674,"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 -141.064453125,\n 68.13885164925573\n ],\n [\n -152.4462890625,\n 66.8265202749748\n ],\n [\n -155.17089843749997,\n 66.17826596326798\n ],\n [\n -154.775390625,\n 64.92354174306496\n ],\n [\n -140.9765625,\n 63.13450320833446\n ],\n [\n -141.064453125,\n 68.13885164925573\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"181","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-08","publicationStatus":"PW","scienceBaseUri":"586781f8e4b0cd2dabe7c71d","chorus":{"doi":"10.1007/s00442-016-3572-y","url":"http://dx.doi.org/10.1007/s00442-016-3572-y","publisher":"Springer Nature","authors":"Lewis Tyler L., Heglund Patricia J., Lindberg Mark S., Schmutz Joel A., Schmidt Joshua H., Dubour Adam J., Rover Jennifer, Bertram Mark R.","journalName":"Oecologia","publicationDate":"2/8/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"2/8/2016"},"contributors":{"authors":[{"text":"Lewis, Tyler 0000-0002-4998-3031 tlewis@usgs.gov","orcid":"https://orcid.org/0000-0002-4998-3031","contributorId":169307,"corporation":false,"usgs":true,"family":"Lewis","given":"Tyler","email":"tlewis@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":657022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":657034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":657021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heglund, Patricia J.","contributorId":51248,"corporation":false,"usgs":true,"family":"Heglund","given":"Patricia J.","affiliations":[],"preferred":false,"id":657035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Joshua H.","contributorId":177786,"corporation":false,"usgs":false,"family":"Schmidt","given":"Joshua","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":657036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dubour, Adam J.","contributorId":140464,"corporation":false,"usgs":false,"family":"Dubour","given":"Adam","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657037,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":657038,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bertram, Mark R.","contributorId":140463,"corporation":false,"usgs":false,"family":"Bertram","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657039,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70175601,"text":"70175601 - 2016 - Planning for ex situ conservation in the face of uncertainty","interactions":[],"lastModifiedDate":"2016-08-17T13:02:59","indexId":"70175601","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","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":"Planning for ex situ conservation in the face of uncertainty","docAbstract":"Ex situ conservation strategies for threatened species often require long-term commitment and financial investment to achieve management objectives. We present a framework that considers the decision to adopt ex situ management for a target species as the end point of several linked decisions. We used a decision tree to intuitively represent the logical sequence of decision making. The first decision is to identify the specific management actions most likely to achieve the fundamental objectives of the recovery plan, with or without the use of ex-situ populations. Once this decision has been made, one decides whether to establish an ex situ population, accounting for the probability of success in the initial phase of the recovery plan, for example, the probability of successful breeding in captivity. Approaching these decisions in the reverse order (attempting to establish an ex situ population before its purpose is clearly defined) can lead to a poor allocation of resources, because it may restrict the range of available decisions in the second stage. We applied our decision framework to the recovery program for the threatened spotted tree frog (Litoria spenceri) of southeastern Australia. Across a range of possible management actions, only those including ex situ management were expected to provide >50% probability of the species’ persistence, but these actions cost more than use of in situ alternatives only. The expected benefits of ex situ actions were predicted to be offset by additional uncertainty and stochasticity associated with establishing and maintaining ex situ populations. Naïvely implementing ex situ conservation strategies can lead to inefficient management. Our framework may help managers explicitly evaluate objectives, management options, and the probability of success prior to establishing a captive colony of any given species.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12613","usgsCitation":"Canessa, S., Converse, S.J., West, M., Clemann, N., Gillespie, G., McFadden, M., Silla, A.J., Parris, K.M., and McCarthy, M.A., 2016, Planning for ex situ conservation in the face of uncertainty: Conservation Biology, v. 30, no. 3, p. 599-609, https://doi.org/10.1111/cobi.12613.","productDescription":"11 p.","startPage":"599","endPage":"609","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066153","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470925,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2434/1119885","text":"External Repository"},{"id":326685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-03","publicationStatus":"PW","scienceBaseUri":"57b58b54e4b03bcb0104bc33","contributors":{"authors":[{"text":"Canessa, Stefano","contributorId":149295,"corporation":false,"usgs":false,"family":"Canessa","given":"Stefano","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":645797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":645796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, Matt","contributorId":173780,"corporation":false,"usgs":false,"family":"West","given":"Matt","email":"","affiliations":[],"preferred":false,"id":645798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clemann, Nick","contributorId":173773,"corporation":false,"usgs":false,"family":"Clemann","given":"Nick","email":"","affiliations":[{"id":27292,"text":"Arthur Rylah Institute for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":645799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillespie, Graeme","contributorId":173774,"corporation":false,"usgs":false,"family":"Gillespie","given":"Graeme","affiliations":[{"id":27293,"text":"NT Department of Land Resource Management","active":true,"usgs":false}],"preferred":false,"id":645800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McFadden, Michael","contributorId":173775,"corporation":false,"usgs":false,"family":"McFadden","given":"Michael","email":"","affiliations":[{"id":27294,"text":"Taronga Conservation Society Australia","active":true,"usgs":false}],"preferred":false,"id":645801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silla, Aimee J.","contributorId":173776,"corporation":false,"usgs":false,"family":"Silla","given":"Aimee","email":"","middleInitial":"J.","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":645802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parris, Kirsten M","contributorId":173777,"corporation":false,"usgs":false,"family":"Parris","given":"Kirsten","email":"","middleInitial":"M","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":645803,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCarthy, Michael A","contributorId":173778,"corporation":false,"usgs":false,"family":"McCarthy","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":645804,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192183,"text":"70192183 - 2016 - New summer areas and mixing of two greater sandhill crane populations in the Intermountain West","interactions":[],"lastModifiedDate":"2017-10-23T16:29:18","indexId":"70192183","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"New summer areas and mixing of two greater sandhill crane populations in the Intermountain West","docAbstract":"Population delineation throughout the annual life cycle for migratory birds is needed to formulate regional and national management and conservation strategies. Despite being well studied continentally, connectivity of sandhill crane Grus canadensis populations throughout the western portion of their North American range remains poorly described. Our objectives were to 1) use global positioning system satellite transmitter terminals to identify summer distributions for the Lower Colorado River Valley Population of greater sandhill cranes Grus canadensis tabida and 2) determine whether intermingling occurs among any of the western greater sandhill crane populations: Rocky Mountain Population, Lower Colorado River Valley Population, and Central Valley Population. Capture and marking occurred during winter and summer on private lands in California and Idaho as well as on two National Wildlife Refuges: Cibola and Sonny Bono Salton Sea National Wildlife Refuges. A majority of marked greater sandhill cranes summered in what is established Lower Colorado River Valley Population breeding areas in northeastern Nevada and southwestern Idaho. 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No annual variation in homing performance was observed at these sites in eastern North America, in contrast to results from a number of similar experiments in Europe. Assuming pigeons home using low-frequency infrasonic signals (~0.1–0.3 Hz), as has been previously proposed, the annual and geographic variability in homing performance within the northern hemisphere might be explained, to a first order, by seasonal changes in low-frequency atmospheric background noise levels related to storm activity in the North Atlantic Ocean, and by acoustic waveguides formed between the surface and seasonally reversing stratospheric winds. In addition, increased dispersion among departure bearings of test birds on some North American release days was possibly caused by infrasonic noise from severe weather events during tornado and Atlantic hurricane seasons.
","language":"English","publisher":"Springer","doi":"10.1007/s00359-016-1087-y","usgsCitation":"Hagstrum, J.T., McIsaac, H.P., and Drob, D.P., 2016, Seasonal changes in atmospheric noise levels and the annual variation in pigeon homing performance: Journal of Comparative Physiology A, v. 202, no. 6, p. 413-424, https://doi.org/10.1007/s00359-016-1087-y.","productDescription":"12 p.","startPage":"413","endPage":"424","ipdsId":"IP-070714","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"202","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-04","publicationStatus":"PW","scienceBaseUri":"59084926e4b0fc4e448ffd4e","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":693599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIsaac, Hugh P.","contributorId":191667,"corporation":false,"usgs":false,"family":"McIsaac","given":"Hugh","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drob, Douglas P.","contributorId":175152,"corporation":false,"usgs":false,"family":"Drob","given":"Douglas","email":"","middleInitial":"P.","affiliations":[{"id":16692,"text":"Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":693774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173861,"text":"70173861 - 2016 - Should fatty acid signature proportions sum to 1 for diet estimation?","interactions":[],"lastModifiedDate":"2016-06-24T11:48:21","indexId":"70173861","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Should fatty acid signature proportions sum to 1 for diet estimation?","docAbstract":"Knowledge of predator diets, including how diets might change through time or differ among predators, provides essential insights into their ecology. Diet estimation therefore remains an active area of research within quantitative ecology. Quantitative fatty acid signature analysis (QFASA) is an increasingly common method of diet estimation. QFASA is based on a data library of prey signatures, which are vectors of proportions summarizing the fatty acid composition of lipids, and diet is estimated as the mixture of prey signatures that most closely approximates a predator’s signature. Diets are typically estimated using proportions from a subset of all fatty acids that are known to be solely or largely influenced by diet. Given the subset of fatty acids selected, the current practice is to scale their proportions to sum to 1.0. However, scaling signature proportions has the potential to distort the structural relationships within a prey library and between predators and prey. To investigate that possibility, we compared the practice of scaling proportions with two alternatives and found that the traditional scaling can meaningfully bias diet estimators under some conditions. Two aspects of the prey types that contributed to a predator’s diet influenced the magnitude of the bias: the degree to which the sums of unscaled proportions differed among prey types and the identifiability of prey types within the prey library. We caution investigators against the routine scaling of signature proportions in QFASA.
","language":"English","publisher":"Springer","doi":"10.1007/s11284-016-1357-8","usgsCitation":"Bromaghin, J.F., Budge, S.M., and Thiemann, G.W., 2016, Should fatty acid signature proportions sum to 1 for diet estimation?: Ecological Research, v. 31, no. 4, p. 597-606, https://doi.org/10.1007/s11284-016-1357-8.","productDescription":"10 p.","startPage":"597","endPage":"606","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071161","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":324215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-29","publicationStatus":"PW","scienceBaseUri":"576bb6bce4b07657d1a22954","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":638834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":638835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":638836,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171202,"text":"ofr20161088 - 2016 - Hydrologic analyses in support of the Navajo Generating Station–Kayenta Mine Complex environmental impact statement","interactions":[],"lastModifiedDate":"2016-06-01T16:40:27","indexId":"ofr20161088","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","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":"2016-1088","title":"Hydrologic analyses in support of the Navajo Generating Station–Kayenta Mine Complex environmental impact statement","docAbstract":"The U.S. Department of Interior’s Bureau of Reclamation, Lower Colorado Region (Reclamation) is preparing an environmental impact statement (EIS) for the Navajo Generating Station-Kayenta Mine Complex Project (NGS-KMC Project). The proposed project involves various Federal approvals that would facilitate continued operation of the Navajo Generating Station (NGS) from December 23, 2019 through 2044, and continued operation of the Kayenta Mine and support facilities (collectively called the Kayenta Mine Complex, or KMC) to supply coal to the NGS for this operational period. The EIS will consider several project alternatives that are likely to produce different effects on the Navajo (N) aquifer; the N aquifer is the principal water resource in the Black Mesa area used by the Navajo Nation, Hopi Tribe, and Peabody Western Coal Company (PWCC).
The N aquifer is composed of three hydraulically connected formations—the Navajo Sandstone, the Kayenta Formation, and the Lukachukai Member of the Wingate Sandstone—that function as a single aquifer. The N aquifer is confined under most of Black Mesa, and the overlying stratigraphy limits recharge to this part of the aquifer. The N aquifer is unconfined in areas surrounding Black Mesa, and most recharge occurs where the Navajo Sandstone is exposed in the area near Shonto, Arizona. Overlying the N aquifer is the D aquifer, which includes the Dakota Sandstone, Morrison Formation, Entrada Sandstone, and Carmel Formation. The aquifer is named for the Dakota Sandstone, which is the primary water-bearing unit.
The NGS is located near Page, Arizona on the Navajo Nation. The KMC, which delivers coal to NGS by way of a dedicated electric railroad, is located approximately 83 miles southeast of NGS (about 125 miles northeast of Flagstaff, Arizona). The Kayenta Mine permit area is located on about 44,073 acres of land leased within the boundaries of the Hopi and Navajo Indian Reservations. KMC has been conducting mining and reclamation operations within the Kayenta Mine permit boundary since 1973.
The KMC part of the proposed project requires approval by the Office of Surface Mining (OSM) of a significant revision of the mine’s permit to operate in accordance with the Surface Mine Control and Reclamation Act (Public Law 95-87, 91 Stat. 445 [30 U.S.C. 1201 et seq.]). The revision will identify coal resource areas that may be used to continue extracting coal at the present rate of approximately 8.2 million tons per year. The Kayenta Mine Complex uses water pumped from the D and N aquifers beneath PWCC’s leasehold to support mining and reclamation activities. Prior to 2006, water from the PWCC well field also was used to transport coal by way of a coal-slurry pipeline to the now-closed Mohave Generating Station. Water usage at the leasehold was approximately 4,100 acre-feet per year (acre-ft/yr) during the period the pipeline was in use, and declined to an average 1,255 acre-ft/yr from 2006 to 2011. The Probable Hydrologic Consequences (PHC) section of the mining and reclamation permit must be modified to project the consequences of extended water use by the mine for the duration of the KMC part of the project, including a post-mining reclamation period.
Since 1971, the U.S. Geological Survey (USGS) has conducted the Black Mesa Monitoring Program, which consists of monitoring water levels and water quality in the N aquifer, compiling information on water use by PWCC and tribal communities, maintaining several stream-gaging stations, measuring discharge at selected springs, conducting special studies, and reporting findings. These data are useful in evaluating the effects on the N aquifer from PWCC and community pumping, and the effects of variable precipitation.
The EIS will assess the impacts of continued pumping on the N aquifer, including changes in storage, water quality, and effects on spring and baseflow discharge, by proposed mining through 2044, and during the reclamation process to 2057.
Several groundwater models exist for the area and Reclamation concluded it would conduct a peer review of the groundwater flow model that will be used to assess the direct, reasonably foreseeable indirect, and cumulative effects of future groundwater withdrawals on the D and N aquifers in the Black Mesa area. Reclamation made this determination because of the level of controversy around the effects of continued water use and the comments received from the 2014 draft EIS scoping meetings. Reclamation requested assistance from the USGS in evaluating existing groundwater flow models of the Black Mesa Basin that can be used to predict the effects of different project alternatives on the D and N aquifers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161088","productDescription":"vi, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076168","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":321807,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1088/ofr20161088.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1088"},{"id":321806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1088/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.4453125,\n 35.545635932499415\n ],\n [\n -111.4453125,\n 36.84446074079564\n ],\n [\n -109.6490478515625,\n 36.84446074079564\n ],\n [\n -109.6490478515625,\n 35.545635932499415\n ],\n [\n -111.4453125,\n 35.545635932499415\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov/
Between 2007 and 2008, seven Earthscope Plate Boundary Observatory (PBO) boreholes ranging in depth from about 200 to 800 feet deep were drilled in and adjacent to the Yellowstone caldera in Yellowstone National Park, for the purpose of installing volcano monitoring instrumentation. Five of the seven boreholes were equipped with strainmeters, downhole seismometers, and tiltmeters. Data collected during drilling included field observations of drill cuttings, stratigraphy within the boreholes, water temperature, and water and drill cuttings samples from selected depths.
\nSix of the seven boreholes encountered rhyolite lavas and tuffs. The rhyolite lavas compose the Canyon flow, the Gardner River flow, the Gibbon River flow, the Hayden Valley flow, the Nez Perce Creek flow, and the West Thumb flow. Boreholes also penetrated a vertical sequence through the Lava Creek Tuff and the Tuff of Bluff Point. In addition, one borehole drilled through a Swan Lake Flat Basalt sequence and terminated in a rhyolite lava flow.
\nAfter drilling the seven PBO boreholes, cuttings were examined and selected for preparation of grain mounts, thin sections, and geochemical analysis. Major ions and trace elements (including rare earth elements) of selected cuttings were determined by x-ray fluorescence (XRF) and inductively coupled plasma-mass spectrometry (ICP-MS); the ICP-MS provided more precise trace-element analysis than XRF. A preliminary interpretation of the results of geochemical analyses generally shows a correlation between borehole cuttings and previously mapped geology. The geochemical data and borehole stratigraphy presented in this report provide a foundation for future petrologic, geochemical, and geophysical studies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161028","collaboration":"Prepared in cooperation with the National Park Service, Yellowstone National Park, and Earthscope Plate Boundary Observatory","usgsCitation":"Jaworowski, C., Susong, D., Heasler, H., Mencin, D., Johnson, W., Conrey, R., and Von Stauffenberg, J., 2016,\nGeologic and geochemical results from boreholes drilled in Yellowstone National Park, Wyoming, 2007 and 2008:\nU.S. Geological Survey Open-File Report 2016-1028, 39 p. https://dx.doi.org/10.3133/ofr20161028","productDescription":"Report: viii, 39 p.; 2 Appendixes","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064084","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":321191,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1028/ofr20161028.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1028"},{"id":321192,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1028/ofr20161028_appendix01.xlsx","text":"Appendix 1","size":"74 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1028 Appendix 1"},{"id":321193,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1028/ofr20161028_appendix02.xlsx","text":"Appendix 2","size":"35 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1028 Appendix 2"},{"id":321190,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1028/coverthb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.93994140625,\n 44.402391829093915\n ],\n [\n -110.93994140625,\n 44.93758500391091\n ],\n [\n -110.0830078125,\n 44.93758500391091\n ],\n [\n -110.0830078125,\n 44.402391829093915\n ],\n [\n -110.93994140625,\n 44.402391829093915\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Utah Water Science Center
U.S. Geological Survey
2329 Orton Circle
Salt Lake City, Utah 84119-2047
http://ut.water.usgs.gov
Though reported capture fisheries are dominated by marine production, inland fish and fisheries make substantial contributions to meeting the challenges faced by individuals, society, and the environment in a changing global landscape. Inland capture fisheries and aquaculture contribute over 40% to the world’s reported finfish production from less than 0.01% of the total volume of water on earth. These fisheries provide food for billions and livelihoods for millions of people worldwide. Herein, using supporting evidence from the literature, we review 10 reasons why inland fish and fisheries are important to the individual (food security, economic security, empowerment), to society (cultural services, recreational services, human health and well-being, knowledge transfer and capacity building), and to the environment (ecosystem function and biodiversity, as aquatic “canaries”, the “green food” movement). However, the current limitations to valuing the services provided by inland fish and fisheries make comparison with other water resource users extremely difficult. This list can serve to demonstrate the importance of inland fish and fisheries, a necessary first step to better incorporating them into agriculture, land-use, and water resource planning, where they are currently often underappreciated or ignored.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/er-2015-0064","usgsCitation":"Lynch, A., Cooke, S., Deines, A.M., Bower, S.D., Bunnell, D., Cowx, I.G., Nguyen, V., Nohner, J.K., Phouthavong, K., Riley, B., Rogers, M.W., Taylor, W., Woelmer, W., Youn, S., and Beard, T., 2016, The social, economic, and environmental importance of inland fish and fisheries: Environmental Reviews, v. 24, no. 2, p. 115-121, https://doi.org/10.1139/er-2015-0064.","productDescription":"7 p.","startPage":"115","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061514","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":470937,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1139/er-2015-0064","text":"External Repository"},{"id":323949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913ece4b07657d19ff2a8","contributors":{"authors":[{"text":"Lynch, Abigail J. ajlynch@usgs.gov","contributorId":166918,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail J.","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":620439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":620442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deines, Andrew M.","contributorId":166920,"corporation":false,"usgs":false,"family":"Deines","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bower, Shannon D.","contributorId":166921,"corporation":false,"usgs":false,"family":"Bower","given":"Shannon","email":"","middleInitial":"D.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":620444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":166919,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":620440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":620445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nguyen, Vivian M.","contributorId":166922,"corporation":false,"usgs":false,"family":"Nguyen","given":"Vivian M.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":620446,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nohner, Joel K.","contributorId":166923,"corporation":false,"usgs":false,"family":"Nohner","given":"Joel","email":"","middleInitial":"K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620447,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phouthavong, Kaviphone","contributorId":166924,"corporation":false,"usgs":false,"family":"Phouthavong","given":"Kaviphone","email":"","affiliations":[{"id":24573,"text":"Hull University","active":true,"usgs":false}],"preferred":false,"id":620448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Riley, Betsy","contributorId":166925,"corporation":false,"usgs":false,"family":"Riley","given":"Betsy","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620449,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":620441,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Taylor, William W.","contributorId":113795,"corporation":false,"usgs":true,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":620450,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":620451,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Youn, So-Jung","contributorId":166926,"corporation":false,"usgs":false,"family":"Youn","given":"So-Jung","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620452,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Beard, T. Douglas Jr. dbeard@usgs.gov","contributorId":150495,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":620438,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70170079,"text":"70170079 - 2016 - Landsat Science Team: 2016 winter meeting summary","interactions":[],"lastModifiedDate":"2017-01-18T09:26:26","indexId":"70170079","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3555,"text":"The Earth Observer","active":true,"publicationSubtype":{"id":10}},"title":"Landsat Science Team: 2016 winter meeting summary","docAbstract":"The winter meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held January 12-14, 2016, at Virginia Tech University in Blacksburg, VA. LST co-chairs Tom Loveland [USGS’s Earth Resources Observation and Science Data Center (EROS)—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist] welcomed more than 50 participants to the three-day meeting. The main objectives of this meeting focused on identifying priorities and approaches to improve the global moderate-resolution satellite record. Overall, the meeting was geared more towards soliciting team member recommendations on several rapidly evolving issues, than on providing updates on individual research activities. All the presentations given at the meeting are available at landsat.usgs. gov//science_LST_january2016.php.
","language":"English","publisher":"NASA","usgsCitation":"Schroeder, T., Loveland, T., Wulder, M.A., and Irons, J.R., 2016, Landsat Science Team: 2016 winter meeting summary: The Earth Observer, p. 19-23.","productDescription":"5 p.","startPage":"19","endPage":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074277","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":324210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324209,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://eospso.nasa.gov/sites/default/files/eo_pdfs/May_June_2016_color%20508.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6b6e4b07657d1a228c9","contributors":{"authors":[{"text":"Schroeder, Todd tschroeder@usgs.gov","contributorId":149137,"corporation":false,"usgs":true,"family":"Schroeder","given":"Todd","email":"tschroeder@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":626045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":626046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulder, Michael A.","contributorId":103584,"corporation":false,"usgs":true,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":626047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":626048,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171121,"text":"70171121 - 2016 - Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-07T12:32:44","indexId":"70171121","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy","docAbstract":"Resident mussels are effective indicators of ecosystem health and have been utilized in national assessment and monitoring studies for over two decades. Mussels were chosen because contaminant concentrations in their tissues respond to changes in ambient environmental levels, accumulation occurs with little metabolic transformation and a substantial amount of historic data were available. Mussels were collected from 10 previously studied locations approximately a year after Hurricane Sandy. Regionally, concentrations of polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs) decreased significantly, while concentrations of organochlorine pesticides (OCPs) remained unchanged, and polybrominated diphenyl ethers (PBDEs) increased compared to historic concentrations. Although concentrations of PCBs, OCPs and PAHs were at or near record low concentrations, long-term trends did not change after Hurricane Sandy. To effectively measure storm-induced impacts it is necessary to understand the factors influencing changes in mussel body burdens and have a long-term monitoring network and an ability to mobilize post event.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.02.077","usgsCitation":"Smalling, K., Deshpande, A.D., Galbraith, H.S., Sharack, B., Timmons, D., and Baker, R.J., 2016, Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 432-441, https://doi.org/10.1016/j.marpolbul.2016.02.077.","productDescription":"10 p.","startPage":"432","endPage":"441","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066943","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2016.02.077","text":"Publisher Index Page"},{"id":324533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.5587158203125,\n 39.41922073655956\n ],\n [\n -74.34997558593749,\n 39.317300373271024\n ],\n [\n -74.0313720703125,\n 39.76210275375137\n ],\n [\n -73.8446044921875,\n 40.48455955508278\n ],\n [\n -71.71875,\n 41.02135510866602\n ],\n [\n -71.91650390625,\n 41.18278832811288\n ],\n [\n -74.10827636718749,\n 40.62646106367355\n ],\n [\n -74.322509765625,\n 39.78321267821705\n ],\n [\n -74.5587158203125,\n 39.41922073655956\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb6e4b07657d1a90d40","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":149769,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L. 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","publisher":"U. S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr9550","usgsCitation":"Todd, V.R., 2016, Geologic map of the Morena Reservoir 7.5-minute quadrangle, San Diego County, California: U.S. Geological Survey Open-File Report 95–50, 12 p., scale 1:24,000, https://dx.doi.org/10.3133/ofr9550.","productDescription":"Pamphlet: iii, 12 p.; 1 Plate: 32.74 x 30.79 inches; Metadata; Read Me; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399099,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_104275.htm"},{"id":321428,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_metadata.txt","text":"Morena Reservoir metadata","linkFileType":{"id":2,"text":"txt"},"description":"OFR 95-50 Metadata TXT"},{"id":321427,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_metadata.htm","text":"Morena Reservoir metadata","linkFileType":{"id":5,"text":"html"},"description":"OFR 95-50 Metadata HTML"},{"id":321426,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_README.txt","text":"Morena Reservoir read me","linkFileType":{"id":2,"text":"txt"},"description":"OFR 95-50 Read Me"},{"id":321425,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 95-50 Pamphlet"},{"id":321424,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_plate.pdf","text":"Morena Reservoir plate","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 95-50 Plate"},{"id":321429,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_DATABASE.zip","text":"Morena Reservoir database","linkFileType":{"id":6,"text":"zip"},"description":"OFR 95-50 Database"},{"id":321423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1995/0050/coverthb2.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Morena Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.625,\n 32.625\n ],\n [\n -116.5,\n 32.625\n ],\n [\n -116.5,\n 32.75\n ],\n [\n -116.625,\n 32.75\n ],\n [\n -116.625,\n 32.625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Tucson
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520 North Park Avenue
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http://geomaps.wr.usgs.gov/
Quantifying flow of groundwater through streambeds often is difficult due to the complexity of aquifer-scale heterogeneity combined with local-scale hyporheic exchange. We used fiber-optic distributed temperature sensing (FO-DTS), seepage meters, and vertical temperature profiling to locate, quantify, and monitor areas of focused groundwater discharge in a geomorphically simple sand-bed stream. This combined approach allowed us to rapidly focus efforts at locations where prodigious amounts of groundwater discharged to the Quashnet River on Cape Cod, Massachusetts, northeastern USA. FO-DTS detected numerous anomalously cold reaches one to several m long that persisted over two summers. Seepage meters positioned upstream, within, and downstream of 7 anomalously cold reaches indicated that rapid groundwater discharge occurred precisely where the bed was cold; median upward seepage was nearly 5 times faster than seepage measured in streambed areas not identified as cold. Vertical temperature profilers deployed next to 8 seepage meters provided diurnal-signal-based seepage estimates that compared remarkably well with seepage-meter values. Regression slope and R2 values both were near 1 for seepage ranging from 0.05 to 3.0 m d−1. Temperature-based seepage model accuracy was improved with thermal diffusivity determined locally from diurnal signals. Similar calculations provided values for streambed sediment scour and deposition at subdaily resolution. Seepage was strongly heterogeneous even along a sand-bed river that flows over a relatively uniform sand and fine-gravel aquifer. FO-DTS was an efficient method for detecting areas of rapid groundwater discharge, even in a strongly gaining river, that can then be quantified over time with inexpensive streambed thermal methods.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR018808","usgsCitation":"Rosenberry, D.O., Briggs, M.A., Delin, G.N., and Hare, D.K., 2016, Combined use of thermal methods and seepage meters to efficiently locate, quantify, and monitor focused groundwater discharge to a sand-bed stream: Water Resources Research, v. 52, no. 6, p. 4486-4503, https://doi.org/10.1002/2016WR018808.","productDescription":"18 p.","startPage":"4486","endPage":"4503","ipdsId":"IP-074377","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018808","text":"Publisher Index Page"},{"id":346111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5154037475586,\n 41.58810068130451\n ],\n [\n -70.499267578125,\n 41.58810068130451\n ],\n [\n -70.499267578125,\n 41.6154423246811\n ],\n [\n -70.5154037475586,\n 41.6154423246811\n ],\n [\n -70.5154037475586,\n 41.58810068130451\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"6","noUsgsAuthors":false,"publicationDate":"2016-06-12","publicationStatus":"PW","scienceBaseUri":"59cb6732e4b017cf3141c697","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":711255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":711256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delin, Geoffrey N. 0000-0001-7991-6158 delin@usgs.gov","orcid":"https://orcid.org/0000-0001-7991-6158","contributorId":2610,"corporation":false,"usgs":true,"family":"Delin","given":"Geoffrey","email":"delin@usgs.gov","middleInitial":"N.","affiliations":[{"id":5063,"text":"Central Water Science Field Team","active":true,"usgs":true}],"preferred":true,"id":711257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Danielle K.","contributorId":76222,"corporation":false,"usgs":true,"family":"Hare","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171463,"text":"70171463 - 2016 - The plant phenology monitoring design for the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2016-06-02T11:26:19","indexId":"70171463","displayToPublicDate":"2016-05-31T16:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The plant phenology monitoring design for the National Ecological Observatory Network","docAbstract":"Phenology is an integrative science that comprises the study of recurring biological activities or events. In an era of rapidly changing climate, the relationship between the timing of those events and environmental cues such as temperature, snowmelt, water availability or day length are of particular interest. This article provides an overview of the plant phenology sampling which will be conducted by the U.S. National Ecological Observatory Network NEON, the resulting data, and the rationale behind the design. Trained technicians will conduct regular in situ observations of plant phenology at all terrestrial NEON sites for the 30-year life of the observatory. Standardized and coordinated data across the network of sites can be used to quantify the direction and magnitude of the relationships between phenology and environmental forcings, as well as the degree to which these relationships vary among sites, among species, among phenophases, and through time. Vegetation at NEON sites will also be monitored with tower-based cameras, satellite remote sensing and annual high-resolution airborne remote sensing. Ground-based measurements can be used to calibrate and improve satellite-derived phenometrics. NEON’s phenology monitoring design is complementary to existing phenology research efforts and citizen science initiatives throughout the world and will produce interoperable data. By collocating plant phenology observations with a suite of additional meteorological, biophysical and ecological measurements (e.g., climate, carbon flux, plant productivity, population dynamics of consumers) at 47 terrestrial sites, the NEON design will enable continentalscale inference about the status, trends, causes and ecological consequences of phenological change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1303","usgsCitation":"Elmendorf, S.C., Jones, K.D., Cook, B., Diez, J.M., Enquist, C.A., Hufft, R.A., Jones, M.O., Mazer, S., Miller-Rushing, A., Moore, D.J., Schwartz, M., and Weltzin, J., 2016, The plant phenology monitoring design for the National Ecological Observatory Network: Ecosphere, v. 7, no. 4, e01303: 16 p., https://doi.org/10.1002/ecs2.1303.","productDescription":"e01303: 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052777","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470954,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1303","text":"Publisher Index Page"},{"id":321942,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-25","publicationStatus":"PW","scienceBaseUri":"574ea79ae4b0ee97d51a2be0","contributors":{"authors":[{"text":"Elmendorf, Sarah C","contributorId":169801,"corporation":false,"usgs":false,"family":"Elmendorf","given":"Sarah","email":"","middleInitial":"C","affiliations":[{"id":25598,"text":"NEON, Staff Scientist","active":true,"usgs":false}],"preferred":false,"id":631087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Katherine D.","contributorId":169802,"corporation":false,"usgs":false,"family":"Jones","given":"Katherine","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Benjamin I.","contributorId":81237,"corporation":false,"usgs":true,"family":"Cook","given":"Benjamin I.","affiliations":[],"preferred":false,"id":631089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diez, Jeffrey M.","contributorId":169803,"corporation":false,"usgs":false,"family":"Diez","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enquist, Carolyn A.F.","contributorId":169804,"corporation":false,"usgs":false,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"A.F.","affiliations":[{"id":25599,"text":"USA-NPN","active":true,"usgs":false}],"preferred":false,"id":631091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hufft, Rebecca A.","contributorId":148014,"corporation":false,"usgs":false,"family":"Hufft","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":16973,"text":"Neptune and Company Inc.","active":true,"usgs":false}],"preferred":false,"id":631107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Matthew O.","contributorId":169805,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew","email":"","middleInitial":"O.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mazer, Susan J.","contributorId":96564,"corporation":false,"usgs":true,"family":"Mazer","given":"Susan J.","affiliations":[],"preferred":false,"id":631094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller-Rushing, Abraham J.","contributorId":103561,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham J.","affiliations":[],"preferred":false,"id":631095,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, David J. 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Hawksbill sea turtles (Eretmochelys imbricata) are long-lived, major consumers in coral reef habitats that move over broad geographic areas (hundreds to thousands of kilometers). We evaluated spatio-temporal effects on hawksbill growth dynamics over a 33-yr period and 24 study sites throughout the West Atlantic and explored relationships between growth dynamics and climate indices. We compiled the largest ever data set on somatic growth rates for hawksbills – 3541 growth increments from 1980 to 2013. Using generalized additive mixed model analyses, we evaluated 10 covariates, including spatial and temporal variation, that could affect growth rates. Growth rates throughout the region responded similarly over space and time. The lack of a spatial effect or spatio-temporal interaction and the very strong temporal effect reveal that growth rates in West Atlantic hawksbills are likely driven by region-wide forces. Between 1997 and 2013, mean growth rates declined significantly and steadily by 18%. Regional climate indices have significant relationships with annual growth rates with 0- or 1-yr lags: positive with the Multivariate El Niño Southern Oscillation Index (correlation = 0.99) and negative with Caribbean sea surface temperature (correlation = −0.85). Declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs. Main conclusions The decadal declines in growth rates between 1997 and 2013 throughout the West Atlantic most likely resulted from warming waters through indirect negative effects on the foraging resources of hawksbills. These climatic influences are complex. With increasing temperatures, the trajectories of decline of coral cover and availability in reef habitats of major prey species of hawksbills are not parallel. Knowledge of how choice of foraging habitats, prey selection, and prey abundance are affected by warming water temperatures is needed to understand how climate change will affect productivity of consumers that live in association with coral reefs.
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Natural abundance ratios of stable isotopes of nitrogen (δ15N) measured in plant tissue growing in nearshore areas of the lake indicate that the major source of nitrogen used by these primary producing plants is derived mainly from atmospherically fixed nitrogen in an undeveloped forested ecosystem. Exceptions to this pattern occurred in the Barnes Point area where elevated δ15N ratios indicate that effluent from septic systems also contribute nitrogen to filamentous-periphytic algae growing in the littoral zone of that area. Near the Lyre River outlet of Lake Crescent, the δ15N of filamentous-periphytic algae growing in close proximity to the spawning areas of a unique species of trout show little evidence of elevated δ15N indicating that nitrogen from on-site septic systems is not a substantial source of nitrogen for these plants. The δ15N data corroborate estimates that nitrogen input to Lake Crescent from septic sources is comparatively small relative to input from motor vehicle exhaust and vegetative sources in undeveloped forests, including litterfall, pollen, and symbiotic nitrogen fixation. The seasonal timing of blooms of filamentous-periphytic algal near the lake shoreline is also consistent with nitrogen exported from stands of red alder trees (Alnus rubra). Isotope biomonitoring of filamentous-periphytic algae may be an effective approach to monitoring the littoral zone for nutrient input to Lake Crescent from septic sources.
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PREMISE OF THE STUDY: The distribution of Yucca brevifolia, a keystone species of the Mojave Desert, may contract with climate change, yet reproduction and dispersal are poorly understood. We tracked reproduction, seed predation, and fruit dispersal for two years and discuss whether Y. brevifolia is a masting species.
\nMETHODS: Fruit maturation, seed predation (larval yucca moths), and fruit dispersal (rodents) were monitored on a random sample of panicles during 2013 and 2014, which were years of high and low reproduction, respectively. Fates of fruits placed on the ground and in canopies were also tracked. Rodents were live-trapped to assess abundance and species composition.
\nKEY RESULTS: In 2013, 66% of inflorescences produced fruit of which 53% escaped larval predation; 19.5% of seeds were destroyed in infested fruits. Total seed production was estimated to be >100 times greater in 2013 than 2014. One-third of the fruit crop fell to the ground and was removed by rodents over the course of 120 d. After ground fruits became scarce, rodents exploited canopy fruits. Rodent numbers were low in 2013, so fruits remained in canopies for 370 d. In 2014, fruit production was approximately 20% lower. Larvae infested the majority of fruits, and almost twice the number of seeds were damaged. Fruits were exploited by rodents within 65 d.
\nCONCLUSIONS: High fertilization, prolific seed production, and low predispersal predation in 2013 suggests that pollinator attraction and satiation of seed predators influence masting in Y. brevifolia. Abundant, prolonged fruit availability to seed-dispersing rodents likely extends recruitment opportunities during mast years.
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survival related to energy reserves. Blood plasma samples were analyzed for metrics related to nutritional and osmotic status, and samples of white muscle tissue collected from recent mortalities at weirs were analyzed for proximate constituents. Female kelts from the Situk River had significantly higher plasma cholesterol, triglycerides, glucose and calcium concentrations, all of which suggested higher lipid and energy stores. Additional support for energy limitation in kelts was provided by evaluating the presence of detectable proteins in the plasma. Most all kelts sampled from the Situk River populations had detectable plasma proteins, in contrast to kelts sampled from the Clearwater River tributary populations where 27 % of kelts from one tributary, and 68 % of the second tributary were below the limits of detection. We found proximate constituents of kelt mortalities were similar between the Situk and Clearwater River populations, and the lipid fraction of white muscle averaged 0.1 and 0.2 %. Our findings lend support to the hypothesis that energetic limitations likely affect post-spawn survival in the Clearwater River kelts.
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avian species","interactions":[],"lastModifiedDate":"2017-01-05T16:16:10","indexId":"70177918","displayToPublicDate":"2016-05-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Immunoglobulin detection in wild birds: Effectiveness of three secondary anti-avian IgY antibodies in direct ELISAs in 41 avian species","docAbstract":"1.Immunological reagents for wild, non-model species are limited or often non-existent for many species.
\n2. In this study, we compare the reactivity of a new anti-passerine IgY secondary antibody with existing secondary antibodies developed for use with birds. Samples from 41 species from the following six avian orders were analysed: Anseriformes (1 family, 1 species), Columbiformes (1 family, 2 species), Galliformes (1 family, 1 species), Passeriformes (16 families, 34 species), Piciformes (1 family, 2 species) and Suliformes (1 family, 1 species). Direct ELISAs were performed to detect total IgY using goat anti-passerine IgY, goat anti-chicken IgY or goat anti-bird IgY secondary antibodies.
\n3.The anti-passerine antibody exhibited significantly higher IgY reactivity compared to the anti-chicken and/or anti-bird antibodies in 80% of the passerine families tested. Birds in the order Piciformes (woodpeckers) and order Suliformes (cormorants) were poorly detected by all three secondary antibodies. A comparison of serum and plasma IgY levels was made within the same individuals for two passerine species (house finch and white-crowned sparrow), and serum exhibited significantly more IgY than the plasma for all three secondary antibodies. This result indicates that serum may be preferred to plasma when measuring total antibody levels in blood.
\n4.This study indicates that the anti-passerine IgY secondary antibody can effectively be used in immunological assays to detect passerine IgY for species in most passerine families and is preferred over anti-chicken and anti-bird secondary antibodies for the majority of passerine species. This anti-passerine antibody will allow for more accurate detection and quantification of IgY in more wild bird species than was possible with previously available secondary antibodies.
","language":"English","publisher":"John Wiley","doi":"10.1111/2041-210X.12583","usgsCitation":"Fassbinder-Orth, C.A., Wilcoxen, T.E., Tran, T., Boughton, R.K., Fair, J.M., Hofmeister, E.K., Grindstaff, J.L., and Owen, J.C., 2016, Immunoglobulin detection in wild birds: Effectiveness of three secondary anti-avian IgY antibodies in direct ELISAs in 41 avian species: Methods in Ecology and Evolution, v. 7, no. 10, p. 1174-1181, https://doi.org/10.1111/2041-210X.12583.","productDescription":"8 p.","startPage":"1174","endPage":"1181","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074662","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470958,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5084450","text":"Publisher Index Page"},{"id":330424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-28","publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a6d","contributors":{"authors":[{"text":"Fassbinder-Orth, Carol A.","contributorId":176331,"corporation":false,"usgs":false,"family":"Fassbinder-Orth","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcoxen, Travis E.","contributorId":176332,"corporation":false,"usgs":false,"family":"Wilcoxen","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tran, Tiffany","contributorId":176333,"corporation":false,"usgs":false,"family":"Tran","given":"Tiffany","email":"","affiliations":[],"preferred":false,"id":652231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boughton, Raoul K.","contributorId":176334,"corporation":false,"usgs":false,"family":"Boughton","given":"Raoul","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":652232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jeanne M.","contributorId":176335,"corporation":false,"usgs":false,"family":"Fair","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":652228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grindstaff, Jennifer L.","contributorId":176336,"corporation":false,"usgs":false,"family":"Grindstaff","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":652234,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Owen, Jen C.","contributorId":176337,"corporation":false,"usgs":false,"family":"Owen","given":"Jen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":652235,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}