Soils on many of the outwash plains in southwestern Michigan have loamy upper profiles, despite being underlain by sand-textured outwash. The origin of this upper, loamy material has long been unknown. The purpose of this study is to analyze the spatio-textural characteristics of these loamy-textured sediments to ascertain their origin(s). The textural curves of this material have distinct bimodality, with clear silt and sand peaks. Because the sand peaks align with those in the outwash below, we conclude that the upper material is a mixture of an initially silty material with the sand from below, forming loamy textures. By applying a textural filtering operation to the data, we determined its original characteristics; nearly all of the soils originally had silt loam upper profiles, typical for loess. Field data showed that the loamy material is thickest east of a broad, north–south trending valley (the Niles-Thornapple Spillway) that once carried glacial meltwater. The material becomes thinner, generally better sorted, and finer in texture eastward, away from this channel. We conclude that the loamy mantle on many of the adjacent outwash plains is silt-rich loess, derived from the Niles-Thornapple Spillway and its tributary channels and transported on mainly westerly winds. The spillway was active between ca. 17.3 and 16.8 k cal. years ago. At this time, a large network of tunnel channels existed beneath the stagnant Saginaw lobe ice. Meltwater from the lobe funneled silt-rich sediment into the spillway, rendering it a prodigious silt source.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00045608.2015.1115388","usgsCitation":"Luehmann, M.D., Peter, B.G., Connallon, C.B., Schaetzl, R.J., Smidt, S.J., Liu, W., Kincare, K.A., Walkowiak, T.A., Thorlund, E., and Holler, M.S., 2016, Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand: Annals of the American Association of Geographers, v. 106, no. 3, p. 551-572, https://doi.org/10.1080/00045608.2015.1115388.","productDescription":"22 p.","startPage":"551","endPage":"572","ipdsId":"IP-062646","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.85791015625,\n 41.76721469421018\n ],\n [\n -84.52880859375,\n 41.76721469421018\n ],\n [\n -84.52880859375,\n 42.767178634023345\n ],\n [\n -86.85791015625,\n 42.767178634023345\n ],\n [\n -86.85791015625,\n 41.76721469421018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-29","publicationStatus":"PW","scienceBaseUri":"593bb3a5e4b0764e6c60e7c9","contributors":{"authors":[{"text":"Luehmann, Michael D.","contributorId":192812,"corporation":false,"usgs":false,"family":"Luehmann","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peter, Brad G.","contributorId":192813,"corporation":false,"usgs":false,"family":"Peter","given":"Brad","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":697774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connallon, Christopher B.","contributorId":192814,"corporation":false,"usgs":false,"family":"Connallon","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":697775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaetzl, Randall J.","contributorId":192815,"corporation":false,"usgs":false,"family":"Schaetzl","given":"Randall","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":697777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Wei","contributorId":192817,"corporation":false,"usgs":false,"family":"Liu","given":"Wei","email":"","affiliations":[],"preferred":false,"id":697778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walkowiak, Toni A.","contributorId":192818,"corporation":false,"usgs":false,"family":"Walkowiak","given":"Toni","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorlund, Elin","contributorId":192819,"corporation":false,"usgs":false,"family":"Thorlund","given":"Elin","email":"","affiliations":[],"preferred":false,"id":697780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holler, Marie S.","contributorId":192820,"corporation":false,"usgs":false,"family":"Holler","given":"Marie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697781,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192113,"text":"70192113 - 2016 - Physical condition and stress levels during early development reflect feeding rates and predict pre- and post-fledging survival in a nearshore seabird","interactions":[],"lastModifiedDate":"2017-10-23T15:19:31","indexId":"70192113","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Physical condition and stress levels during early development reflect feeding rates and predict pre- and post-fledging survival in a nearshore seabird","docAbstract":"The effects of acute environmental stressors on reproduction in wildlife are often difficult to measure because of the labour and disturbance involved in collecting accurate reproductive data. Stress hormones represent a promising option for assessing the effects of environmental perturbations on altricial young; however, it is necessary first to establish how stress levels are affected by environmental conditions during development and whether elevated stress results in reduced survival and recruitment rates. In birds, the stress hormone corticosterone is deposited in feathers during the entire period of feather growth, making it an integrated measure of background stress levels during development. We tested the utility of feather corticosterone levels in 3- to 4-week-old nestling brown pelicans (Pelecanus occidentalis) for predicting survival rates at both the individual and colony levels. We also assessed the relationship of feather corticosterone to nestling body condition and rates of energy delivery to nestlings. Chicks with higher body condition and lower corticosterone levels were more likely to fledge and to be resighted after fledging, whereas those with lower body condition and higher corticosterone levels were less likely to fledge or be resighted after fledging. Feather corticosterone was also associated with intracolony differences in survival between ground and elevated nest sites. Colony-wide, mean feather corticosterone predicted nest productivity, chick survival and post-fledging dispersal more effectively than did body condition, although these relationships were strongest before fledglings dispersed away from the colony. Both reproductive success and nestling corticosterone were strongly related to nutritional conditions, particularly meal delivery rates. We conclude that feather corticosterone is a powerful predictor of reproductive success and could provide a useful metric for rapidly assessing the effects of changes in environmental conditions, provided pre-existing baseline variation is monitored and understood.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/cow060","usgsCitation":"Lamb, J.S., O’Reilly, K.M., and Jodice, P.G., 2016, Physical condition and stress levels during early development reflect feeding rates and predict pre- and post-fledging survival in a nearshore seabird: Conservation Physiology, v. 4, no. 1, Article cow060; 14 p., https://doi.org/10.1093/conphys/cow060.","productDescription":"Article cow060; 14 p.","ipdsId":"IP-079141","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/cow060","text":"Publisher Index Page"},{"id":347158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.3828125,\n 27.352252938063845\n ],\n [\n -82.4853515625,\n 27.352252938063845\n ],\n [\n -82.4853515625,\n 30.90222470517144\n ],\n [\n -97.3828125,\n 30.90222470517144\n ],\n [\n -97.3828125,\n 27.352252938063845\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59eeffabe4b0220bbd988fc1","contributors":{"authors":[{"text":"Lamb, Juliet S. 0000-0003-0358-3240","orcid":"https://orcid.org/0000-0003-0358-3240","contributorId":198059,"corporation":false,"usgs":false,"family":"Lamb","given":"Juliet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Reilly, Kathleen M.","contributorId":198060,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":714279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192493,"text":"70192493 - 2016 - Decision analysis for habitat conservation of an endangered, range-limited salamander","interactions":[],"lastModifiedDate":"2017-10-26T10:37:54","indexId":"70192493","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Decision analysis for habitat conservation of an endangered, range-limited salamander","docAbstract":"Many species of conservation concern are habitat limited and often a major focus of management for these species is habitat acquisition and/or restoration. Deciding the location of habitat restoration or acquisition to best benefit a protected species can be a complicated subject with competing management objectives, ecological uncertainties and stochasticity. Structured decision making (SDM) could be a useful approach for explicitly incorporating those complexities while still working toward species conservation and/or recovery. We applied an SDM approach to Red Hills salamander Phaeognathus hubrichti habitat conservation decision making. Phaeognathus hubrichti is a severely range-limited endemic species in south central Alabama and has highly specific habitat requirements. Many known populations live on private lands and the primary mode of habitat protection is habitat conservation planning, but such plans are non-binding and not permanent. Working with stakeholders, we developed an objectives hierarchy linking land acquisition or protection actions to fundamental objectives. We built a model to assess and compare the quality of the habitat in the known range of P. hubrichti. Our model evaluated key habitat attributes of 5814 pixels of 1 km2 each and ranked the pixels from best to worst with respect to P. hubrichti habitat requirements. Our results are a spatially explicit valuation of each pixel, with respect to its probable benefit to P. hubrichti populations. The results of this effort will be used to rank pixels from most to least beneficial, then identify land owners in the most useful areas for salamanders who are willing to sell or enter into a permanent easement agreement.
","language":"English","publisher":"Wiley","doi":"10.1111/acv.12275","usgsCitation":"Robinson, O.J., McGowan, C., and Apodaca, J., 2016, Decision analysis for habitat conservation of an endangered, range-limited salamander: Animal Conservation, v. 19, no. 6, p. 561-569, https://doi.org/10.1111/acv.12275.","productDescription":"9 p.","startPage":"561","endPage":"569","ipdsId":"IP-065441","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","volume":"19","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-17","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8f","contributors":{"authors":[{"text":"Robinson, Orin J.","contributorId":167172,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","email":"","middleInitial":"J.","affiliations":[{"id":33694,"text":"School of Forestry and Wildlife Sciences, Auburn University","active":true,"usgs":false}],"preferred":false,"id":716104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":716105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apodaca, J.J.","contributorId":150788,"corporation":false,"usgs":false,"family":"Apodaca","given":"J.J.","email":"","affiliations":[{"id":35237,"text":"Warren Wilson College, Asheville, North Carolina","active":true,"usgs":false}],"preferred":false,"id":716106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186879,"text":"70186879 - 2016 - CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics","interactions":[],"lastModifiedDate":"2017-11-22T17:38:20","indexId":"70186879","displayToPublicDate":"2016-01-01T00:00:00","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":"CDMetaPOP: An individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics","docAbstract":"1. Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications.
2. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers.
3. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.
Dissolved oxygen (DO) concentration serves as an important indicator of estuarine habitat condition, because all aquatic macro-organisms require some minimum DO level to survive and prosper. The instantaneous DO concentration, measured at a specific location in the water column, results from a balance between multiple processes that add or remove oxygen (Figure 6.1): primary production produces O2; aerobic respiration in the water column and sediments consumes O2; abiotic or microbially-mediated biogeochemical reactions utilize O2 as an oxidant (e.g., oxidation of ammonium, sulfide, and ferrous iron); O2 exchange occurs across the air:water interface in response to under- or oversaturated DO concentrations in the water column; and water currents and turbulent mixing transport DO into and out of zones in the water column. If the oxygen loss rate exceeds the oxygen production or input rate, DO concentration decreases. When DO losses exceed production or input over a prolonged enough period of time, hypoxia ((<2-3 mg/L) or anoxia can develop. Persistent hypoxia or anoxia causes stress or death in aquatic organism populations, or for organisms that can escape a hypoxic or anoxic area, the loss of habitat. In addition, sulfide, which is toxic to aquatic organisms and causes odor problems, escapes from sediments under low oxygen conditions. Low dissolved oxygen is a common aquatic ecosystem response to elevated organic
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":" Lower South Bay nutrient synthesis","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"San Francisco Estuary Institute","publisherLocation":"Richmond, CA","usgsCitation":"Senn, D., Downing-Kunz, M.A., and Novick, E., 2016, Dissolved oxygen: Chapter 6, 23 p.","productDescription":"23 p.","startPage":"94","endPage":"116","ipdsId":"IP-053632","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331883,"type":{"id":15,"text":"Index Page"},"url":"https://sfbaynutrients.sfei.org/books/reports-and-work-products"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48de4b04df303d95816","contributors":{"authors":[{"text":"Senn, David","contributorId":177368,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[],"preferred":false,"id":655464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Novick, Emily","contributorId":177369,"corporation":false,"usgs":false,"family":"Novick","given":"Emily","email":"","affiliations":[],"preferred":false,"id":655465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180371,"text":"70180371 - 2016 - Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","interactions":[],"lastModifiedDate":"2017-02-16T15:41:14","indexId":"70180371","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","docAbstract":"Key Results\r\n\r\nThis report presents potentiometric-surface maps of the Aquia and Magothy aquifers and the Upper Patapsco, Lower Patapsco, and Patuxent aquifer systems using water levels measured during September 2015. Water-level difference maps are also presented for these aquifers. The water-level differences in the Aquia aquifer are shown using groundwater-level data from 1982 and 2015, while the water-level differences are shown for the Magothy aquifer using data from 1975 and 2015. Water-level difference maps for both the Upper Patapsco and Lower Patapsco aquifer systems are shown using data from 1990 and 2015. The water-level differences in the Patuxent aquifer system are shown using groundwater-level data from 2007 and 2015.\r\n\r\nThe potentiometric surface maps show water levels ranging from 53 feet above sea level to 164 feet below sea level in the Aquia aquifer, from 86 feet above sea level to 106 feet below sea level in the Magothy aquifer, from 115 feet above sea level to 115 feet below sea level in the Upper Patapsco aquifer system, from 106 feet above sea level to 194 feet below sea level in the Lower Patapsco aquifer system, and from 165 feet above sea level to 171 feet below sea level in the Patuxent aquifer system. Water levels have declined by as much as 116 feet in the Aquia aquifer since 1982, 99 feet in the Magothy aquifer since 1975, 66 and 83 feet in the Upper Patapsco and Lower Patapsco aquifer systems, respectively, since 1990, and 80 feet in the Patuxent aquifer system since 2007.","language":"English","publisher":"Maryland Geological Survey","collaboration":"Maryland Geological Survey; Maryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Staley, A.W., and Andreasen, D.C., 2016, Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015, iii., 30 p. .","productDescription":"iii., 30 p. ","ipdsId":"IP-077192","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":335793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334236,"type":{"id":15,"text":"Index Page"},"url":"https://www.mgs.md.gov/publications/report_pages/OFR_16-02-02.html"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286294","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Andrew W.","contributorId":178867,"corporation":false,"usgs":false,"family":"Staley","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreasen, David C.","contributorId":178868,"corporation":false,"usgs":false,"family":"Andreasen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178907,"text":"70178907 - 2016 - An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California","interactions":[],"lastModifiedDate":"2017-11-10T18:31:30","indexId":"70178907","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California","docAbstract":"No abstract available
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applied geology in California ","language":"English","publisher":"Association of Environmental and Engineering Geologists","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Jacobs, J.A., Testa, S.M., Alpers, C.N., and Nordstrom, D.K., 2016, An overview of environmental impacts and reclamation efforts at the Iron Mountain mine, Shasta County, California, chap. of Applied geology in California , p. 427-446.","productDescription":"20 p. ","startPage":"427","endPage":"446","ipdsId":"IP-068662","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":336281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331889,"type":{"id":15,"text":"Index Page"},"url":"https://www.appliedgeologybook.com/"}],"country":"United States","state":"California","county":"Shasta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.92602539062501,\n 40.14109012528468\n ],\n [\n -121.322021484375,\n 40.14109012528468\n ],\n [\n -121.322021484375,\n 40.94671366508002\n ],\n [\n -122.92602539062501,\n 40.94671366508002\n ],\n [\n -122.92602539062501,\n 40.14109012528468\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc0","contributors":{"authors":[{"text":"Jacobs, James A","contributorId":177379,"corporation":false,"usgs":false,"family":"Jacobs","given":"James","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":655473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Testa, Stephen M.","contributorId":177380,"corporation":false,"usgs":false,"family":"Testa","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":655475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193144,"text":"70193144 - 2016 - Small mammal communities in eastern redcedar forest","interactions":[],"lastModifiedDate":"2017-11-21T13:31:54","indexId":"70193144","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Small mammal communities in eastern redcedar forest","docAbstract":"Eastern redcedar (Juniperus virginiana) is a fire-intolerant tree species that has encroached into grassland ecosystems throughout central and eastern North America. Many land managers are interested in removing eastern redcedar to restore native grasslands. We surveyed small mammals using mark-recapture methods in eastern redcedar forest, warm-season grassland, and oldfield habitats in the Ozark region of northwest Arkansas. We conducted over 3300 trap-nights and captured 176 individuals belonging to eight small mammal species, primarily Peromyscus spp. and Reithrodonotmys fulvescens. While species diversity did not vary among habitats, small mammal species composition in eastern redcedar forest differed from that of warm-season grassland and oldfield habitats. The small mammal community of eastern redcedar forest is as diverse as the warm-season grasslands and oldfields it succeeds but replaces grassland associated small mammal species with forest associated species.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/amid-175-01-113-119.1","usgsCitation":"Reddin, C.J., and Krementz, D.G., 2016, Small mammal communities in eastern redcedar forest: American Midland Naturalist, v. 175, no. 1, p. 113-119, https://doi.org/10.1674/amid-175-01-113-119.1.","productDescription":"7 p.","startPage":"113","endPage":"119","ipdsId":"IP-057328","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"175","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fbf","contributors":{"authors":[{"text":"Reddin, Christopher J.","contributorId":200687,"corporation":false,"usgs":false,"family":"Reddin","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193146,"text":"70193146 - 2016 - Establishing a baseline of estuarine submerged aquatic vegetation resources across salinity zones within coastal areas of the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-11-21T13:00:59","indexId":"70193146","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Establishing a baseline of estuarine submerged aquatic vegetation resources across salinity zones within coastal areas of the northern Gulf of Mexico","docAbstract":"Coastal ecosystems are dynamic and productive areas that are vulnerable to effects of global climate change. Despite their potentially limited spatial extent, submerged aquatic vegetation (SAV) beds function in coastal ecosystems as foundation species, and perform important ecological services. However, limited understanding of the factors controlling SAV distribution and abundance across multiple salinity zones (fresh, intermediate, brackish, and saline) in the northern Gulf of Mexico restricts the ability of models to accurately predict resource availability. We sampled 384 potential coastal SAV sites across the northern Gulf of Mexico in 2013 and 2014, and examined community and species-specific SAV distribution and biomass in relation to year, salinity, turbidity, and water depth. After two years of sampling, 14 species of SAV were documented, with three species (coontail [Ceratophyllum demersum], Eurasian watermilfoil [Myriophyllum spicatum], and widgeon grass [Ruppia maritima]) accounting for 54% of above-ground biomass collected. Salinity and water depth were dominant drivers of species assemblages but had little effect on SAV biomass. Predicted changes in salinity and water depths along the northern Gulf of Mexico coast will likely alter SAV production and species assemblages, shifting to more saline and depth-tolerant assemblages, which in turn may affect habitat and food resources for associated faunal species.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Hillmann, E.R., DeMarco, K., and LaPeyre, M.K., 2016, Establishing a baseline of estuarine submerged aquatic vegetation resources across salinity zones within coastal areas of the northern Gulf of Mexico: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 3, p. 25-32.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-066781","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.5478515625,\n 28\n ],\n [\n -87.099609375,\n 28\n ],\n [\n -87.099609375,\n 31\n ],\n [\n -96.5478515625,\n 31\n ],\n [\n -96.5478515625,\n 28\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fb7","contributors":{"authors":[{"text":"Hillmann, Eva R.","contributorId":200686,"corporation":false,"usgs":false,"family":"Hillmann","given":"Eva","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMarco, Kristin","contributorId":200003,"corporation":false,"usgs":false,"family":"DeMarco","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":723054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196351,"text":"70196351 - 2016 - Estimating abundance","interactions":[],"lastModifiedDate":"2018-04-03T11:48:19","indexId":"70196351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating abundance","docAbstract":"This chapter provides a non-technical overview of ‘closed population capture–recapture’ models, a class of well-established models that are widely applied in ecology, such as removal sampling, covariate models, and distance sampling. These methods are regularly adopted for studies of reptiles, in order to estimate abundance from counts of marked individuals while accounting for imperfect detection. Thus, the chapter describes some classic closed population models for estimating abundance, with considerations for some recent extensions that provide a spatial context for the estimation of abundance, and therefore density. Finally, the chapter suggests some software for use in data analysis, such as the Windows-based program MARK, and provides an example of estimating abundance and density of reptiles using an artificial cover object survey of Slow Worms (Anguis fragilis).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation: A handbook of techniques","language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:oso/9780198726135.003.0027","usgsCitation":"Sutherland, C., and Royle, A., 2016, Estimating abundance, chap. of Reptile ecology and conservation: A handbook of techniques, p. 388-401, https://doi.org/10.1093/acprof:oso/9780198726135.003.0027.","productDescription":"14 p.","startPage":"388","endPage":"401","ipdsId":"IP-070653","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4be4b0da30c1bfc5dd","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":732536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191522,"text":"70191522 - 2016 - Estimating abundance: Chapter 27","interactions":[],"lastModifiedDate":"2017-11-30T12:58:43","indexId":"70191522","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating abundance: Chapter 27","docAbstract":"This chapter provides a non-technical overview of ‘closed population capture–recapture’ models, a class of well-established models that are widely applied in ecology, such as removal sampling, covariate models, and distance sampling. These methods are regularly adopted for studies of reptiles, in order to estimate abundance from counts of marked individuals while accounting for imperfect detection. Thus, the chapter describes some classic closed population models for estimating abundance, with considerations for some recent extensions that provide a spatial context for the estimation of abundance, and therefore density. Finally, the chapter suggests some software for use in data analysis, such as the Windows-based program MARK, and provides an example of estimating abundance and density of reptiles using an artificial cover object survey of Slow Worms (Anguis fragilis).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation: A handbook of techniques","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:oso/9780198726135.003.0027","usgsCitation":"Royle, J., 2016, Estimating abundance: Chapter 27, chap. of Reptile ecology and conservation: A handbook of techniques, p. 388-401, https://doi.org/10.1093/acprof:oso/9780198726135.003.0027.","productDescription":"14 p.","startPage":"388","endPage":"401","ipdsId":"IP-066002","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fdf","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":712610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192760,"text":"70192760 - 2016 - Recent and possible future variations in the North American Monsoon","interactions":[],"lastModifiedDate":"2017-12-20T11:09:39","indexId":"70192760","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Recent and possible future variations in the North American Monsoon","docAbstract":"The dynamics and recent and possible future changes of the June–September rainfall associated with the North American Monsoon (NAM) are reviewed in this chapter. Our analysis as well as previous analyses of the trend in June–September precipitation from 1948 until 2010 indicate significant precipitation increases over New Mexico and the core NAM region, and significant precipitation decreases over southwest Mexico. The trends in June–September precipitation have been forced by anomalous cyclonic circulation centered at 15°N latitude over the eastern Pacific Ocean. The anomalous cyclonic circulation is responsible for changes in the flux of moisture and the divergence of moisture flux within the core NAM region. Future climate projections using the Coupled Model Intercomparison Project Phase 5 (CMIP5) models, as part of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), support the observed analyses of a later shift in the monsoon season in the presence of increased greenhouse gas concentrations in the atmosphere under the RCP8.5 scenario. The CMIP5 models under the RCP8.5 scenario predict significant NAM-related rainfall decreases during June and July and predict significant NAM-related rainfall increases during September and October.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The monsoons and climate change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-21650-8_7","isbn":"978-3-319-21649-2","usgsCitation":"Hoell, A., Funk, C., Barlow, M., and Shukla, S., 2016, Recent and possible future variations in the North American Monsoon, chap. of The monsoons and climate change, p. 149-162, https://doi.org/10.1007/978-3-319-21650-8_7.","productDescription":"14 p.","startPage":"149","endPage":"162","ipdsId":"IP-062073","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fd2","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145805,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":716847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":716846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Mathew","contributorId":145834,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","affiliations":[{"id":16250,"text":"University of Massechusetts, Lowell","active":true,"usgs":false}],"preferred":false,"id":716849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":140735,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","email":"","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":716848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168512,"text":"70168512 - 2016 - Does the stress-gradient hypothesis hold water? Disentangling spatial and temporal variation in plant effects on soil moisture in dryland systems","interactions":[],"lastModifiedDate":"2016-02-18T09:24:52","indexId":"70168512","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Does the stress-gradient hypothesis hold water? Disentangling spatial and temporal variation in plant effects on soil moisture in dryland systems","docAbstract":"Climate change will challenge managers to balance the freshwater needs of humans and wetlands. The Intergovernmental Panel on Climate Change predicts that most regions of the world will be exposed to higher temperatures, CO2, and more erratic precipitation, with some regions likely to have alternating episodes of intense flooding and mega-drought. Coastal areas will be exposed to more frequent saltwater inundation as sea levels rise. Local land managers desperately need intra-regional climate information for site-specific planning, management, and restoration activities. Managers will be challenged to deliver freshwater to floodplains during climate change-induced drought, particularly within hydrologically altered and developed landscapes. Assessment of forest health, both by field and remote sensing techniques, will be essential to signal the need for hydrologic remediation. Studies of the utility of the release of freshwater to remediate stressed forested floodplains along the Murray and Mississippi Rivers suggest that brief episodes of freshwater remediation for trees can have positive health benefits for these forests. The challenges of climate change in forests of the developing world will be considered using the Tonle Sap of Cambodia as an example. With little ecological knowledge of the impacts, managing climate change will add to environmental problems already faced in the developing world with new river engineering projects. These emerging approaches to remediate stressed trees will be of utmost importance for managing worldwide floodplain forests with predicted climate changes.
\n","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, DC","doi":"10.1002/ehs2.1200","usgsCitation":"Middleton, B.A., and Souter, N.J., 2016, Functional integrity of freshwater forested wetlands, hydrologic alteration, and climate change: Ecosystem Health and Sustainability, v. 2, no. 1, p. 1-18, https://doi.org/10.1002/ehs2.1200.","productDescription":"19 p.","startPage":"1","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067130","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ehs2.1200","text":"Publisher Index Page"},{"id":316754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"56bb1bc3e4b08d617f654e06","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":597615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Souter, Nicholas J.","contributorId":156360,"corporation":false,"usgs":false,"family":"Souter","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":20325,"text":"Fauna & Flora International, Cambodia Programme, Phnom Penh, 12000, Cambodia, 5001 Australia","active":true,"usgs":false}],"preferred":false,"id":597616,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70164494,"text":"70164494 - 2016 - Water data to answer urgent water policy questions: Monitoring design, available data, and filling data gaps for determining whether shale gas development activities contaminate surface water or groundwater in the Susquehanna River Basin","interactions":[],"lastModifiedDate":"2019-11-13T15:28:59","indexId":"70164494","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Water data to answer urgent water policy questions: Monitoring design, available data, and filling data gaps for determining whether shale gas development activities contaminate surface water or groundwater in the Susquehanna River Basin","docAbstract":"
Throughout its history, the United States has made major investments in assessing natural resources, such as soils, timber, oil and gas, and water. These investments allow policy makers, the private sector and the American public to make informed decisions about cultivating, harvesting or conserving these resources to maximize their value for public welfare, environmental conservation and the economy. As policy issues evolve, new priorities and challenges arise for natural resource assessment, and new approaches to monitoring are needed. For example, new technologies for oil and gas development or alternative energy sources may present new risks for water resources both above and below ground. There is a need to evaluate whether today’s water monitoring programs are generating the information needed to answer questions surrounding these new policy priorities.
The Northeast-Midwest Institute (NEMWI), in cooperation with the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program, initiated this project to explore the types and amounts of water data needed to address water-quality related policy questions of critical concern to today’s policy makers and whether those data are currently available. The collaborating entities identified two urgent water policy questions and conducted case studies in the Northeast-Midwest region to determine the water data needed, water data available, and the best ways to fill the data gaps relative to those questions. This report details the output from one case study and focuses on the Susquehanna River Basin, a data-rich area expected to be a best-case scenario in terms of water data availability.
","language":"English","publisher":"The Northeast-Midwest Institute","usgsCitation":"Betanzo, E.A., Hagen, E.R., Wilson, J.T., Reckhow, K.H., Hayes, L., Argue, D.M., and Cangelosi, A.A., 2016, Water data to answer urgent water policy questions: Monitoring design, available data, and filling data gaps for determining whether shale gas development activities contaminate surface water or groundwater in the Susquehanna River Basin, xx, 218 p.","productDescription":"xx, 218 p.","numberOfPages":"239","ipdsId":"IP-057020","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":340193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":316674,"type":{"id":15,"text":"Index Page"},"url":"https://www.nemw.org/nemwi-susquehanna-river-basin-shale-gas-development-study-report-files/"}],"country":"United States","state":"Maryland, New York, Pennsylvania","otherGeospatial":"Susquehanna 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A.","contributorId":156358,"corporation":false,"usgs":false,"family":"Betanzo","given":"Elin","email":"","middleInitial":"A.","affiliations":[{"id":20324,"text":"NEMWI","active":true,"usgs":false}],"preferred":false,"id":597607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagen, Erik R.","contributorId":156357,"corporation":false,"usgs":false,"family":"Hagen","given":"Erik","email":"","middleInitial":"R.","affiliations":[{"id":20324,"text":"NEMWI","active":true,"usgs":false}],"preferred":false,"id":597602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, John T. 0000-0001-6752-4069 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-6752-4069","contributorId":1954,"corporation":false,"usgs":true,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science 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dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cangelosi, Allegra A.","contributorId":156359,"corporation":false,"usgs":false,"family":"Cangelosi","given":"Allegra","email":"","middleInitial":"A.","affiliations":[{"id":20324,"text":"NEMWI","active":true,"usgs":false}],"preferred":false,"id":597608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197314,"text":"70197314 - 2016 - Ecological resilience","interactions":[],"lastModifiedDate":"2018-06-12T11:48:02","indexId":"70197314","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecological resilience","docAbstract":"Resilience is the capacity of complex systems of people and nature to withstand disturbance without shifting into an alternate regime, or a different type of system organized around different processes and structures (Holling, 1973). Resilience theory was developed to explain the non-linear dynamics of complex adaptive systems, like social-ecological systems (SES) (Walker & Salt, 2006). It is often apparent when the resilience of a SES has been exceeded as the system discernibly changes, such as when a thriving city shifts into a poverty trap, but it is difficult to predict when that shift might occur because of the non-linear dynamics of complex systems.
Ecological resilience should not be confused with engineering resilience (Angeler & Allen, 2016), which emphasizes the ability of a SES to perform a specific task consistently and predictably, and to re-establish performance quickly should a disturbance occur. Engineering resilience assumes that complex systems are characterized by a single equilibrium state, and this assumption is not appropriate for complex adaptive systems such as SES. In the risk governance context this means that compounded perturbations derived from hazards or global change can have unexpected and highly uncertain effects on natural resources, humans and societies. These effects can manifest in regime shifts, potentially spurring environmental degradation that might lock SES in an undesirable system state that can be difficult to reverse, and as a consequence economic crises, conflict, human health problems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"IRGC resource guide on resilience","language":"English","publisher":"International Risk Governance Center (IRGC)","doi":"10.5075/epfl-irgc-228206","usgsCitation":"Allen, C.R., Garmestiani, A.S., Sundstrom, S., and Angeler, D.G., 2016, Ecological resilience, chap. of IRGC resource guide on resilience, p. 19-22, https://doi.org/10.5075/epfl-irgc-228206.","productDescription":"4 p.","startPage":"19","endPage":"22","ipdsId":"IP-079239","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e8e9e4b060350a15d33b","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestiani, Ahjond S.","contributorId":205238,"corporation":false,"usgs":false,"family":"Garmestiani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[{"id":37063,"text":"U.S. Environmental Protection Agency, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":736621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sundstrom, Shana","contributorId":205239,"corporation":false,"usgs":false,"family":"Sundstrom","given":"Shana","affiliations":[{"id":37064,"text":"University of Nebraska, Lincoln, NE","active":true,"usgs":false}],"preferred":false,"id":736622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angeler, David G.","contributorId":205240,"corporation":false,"usgs":false,"family":"Angeler","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":37065,"text":"Swedish University of Agricultural Sciences, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":736623,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192536,"text":"70192536 - 2016 - A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin","interactions":[],"lastModifiedDate":"2017-11-27T09:40:19","indexId":"70192536","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin","docAbstract":"We provide a simple framework for diagnosing the impairment of stream water temperature for coldwater fishes across broad spatial extents based on a weight-of-evidence approach that integrates biological criteria, species distribution models, and geostatistical models of stream temperature. As a test case, we applied our approach to identify stream reaches most likely to be thermally impaired for Lahontan Cutthroat Trout Oncorhynchus clarkii henshawi in the upper Reese River, located in the northern Great Basin, Nevada. We first evaluated the capability of stream thermal regime descriptors to explain variation across 170 sites, and we found that the 7-d moving average of daily maximum stream temperatures (7DADM) provided minimal among-descriptor redundancy and, based on an upper threshold of 20°C, was also a good indicator of acute and chronic thermal stress. Next, we quantified the range of Lahontan Cutthroat Trout within our study area using a geographic distribution model. Finally, we used a geostatistical model to assess spatial variation in 7DADM and predict potential thermal impairment at the stream reach scale. We found that whereas 38% of reaches in our study area exceeded a 7DADM of 20°C and 35% were significantly warmer than predicted, only 17% both exceeded the biological criterion and were significantly warmer than predicted. This filtering allowed us to identify locations where physical and biological impairment were most likely within the network and that would represent the highest management priorities. Although our approach lacks the precision of more comprehensive approaches, it provides a broader context for diagnosing impairment and is a useful means of identifying priorities for more detailed evaluations across broad and heterogeneous stream networks.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2015.1115449","usgsCitation":"Falke, J.A., Dunham, J., Hockman-Wert, D., and Pahl, R.A., 2016, A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin: North American Journal of Fisheries Management, v. 36, no. 1, p. 147-160, https://doi.org/10.1080/02755947.2015.1115449.","productDescription":"14 p.","startPage":"147","endPage":"160","ipdsId":"IP-057867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471386,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/A_Simple_Prioritization_Tool_to_Diagnose_Impairment_of_Stream_Temperature_for_Coldwater_Fishes_in_the_Great_Basin/2069493","text":"External Repository"},{"id":347448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin","volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8d","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. jdunham@usgs.gov","contributorId":147527,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":716150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@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":716151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pahl, Randy A.","contributorId":198468,"corporation":false,"usgs":false,"family":"Pahl","given":"Randy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179257,"text":"70179257 - 2016 - Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater","interactions":[],"lastModifiedDate":"2018-03-30T12:48:29","indexId":"70179257","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater","docAbstract":"Removal of carbon through the precipitation and burial of calcium carbonate in marine sediments constitutes over 70% of the total carbon on Earth and is partitioned between coastal and pelagic zones. The precipitation of authigenic calcium carbonate in seawater, however, has been hotly debated because despite being in a supersaturated state, there is an absence of persistent precipitation. One of the explanations for this paradox is the geochemical conditions in seawater cannot overcome the activation energy barrier for the first step in any precipitation reaction; nucleation. Here we show that virally induced rupturing of photosynthetic cyanobacterial cells releases cytoplasmic-associated bicarbonate at concentrations ~23-fold greater than in the surrounding seawater, thereby shifting the carbonate chemistry toward the homogenous nucleation of one or more of the calcium carbonate polymorphs. Using geochemical reaction energetics, we show the saturation states (Ω) in typical seawater for calcite (Ω = 4.3), aragonite (Ω = 3.1), and vaterite (Ω = 1.2) are significantly elevated following the release and diffusion of the cytoplasmic bicarbonate (Ωcalcite = 95.7; Ωaragonite = 68.5; Ωvaterite = 25.9). These increases in Ω significantly reduce the activation energy for nuclei formation thresholds for all three polymorphs, but only vaterite nucleation is energetically favored. In the post-lysis seawater, vaterite's nuclei formation activation energy is significantly reduced from 1.85 × 10−17 J to 3.85 × 10−20 J, which increases the nuclei formation rate from highly improbable (<<1.0 nuclei cm−3 s−1) to instantaneous (8.60 × 1025 nuclei cm−3 s−1). The proposed model for homogenous nucleation of calcium carbonate in seawater describes a mechanism through which the initial step in the production of carbonate sediments may proceed. It also presents an additional role of photosynthesizing microbes and their viruses in marine carbon cycles and reveals these microorganisms are a collective repository for concentrated and reactive dissolved inorganic carbon (DIC) that is currently not accounted for in global carbon budgets and carbonate sediment diagenesis models.
","language":"English","publisher":"Frontiers","doi":"10.3389/fmicb.2016.01958","usgsCitation":"Lisle, J.T., and Robbins, L.L., 2016, Viral lysis of photosynthesizing microbes as a mechanism for calcium carbonate nucleation in seawater: Frontiers in Microbiology, v. 7, Article 1958; 7 p., https://doi.org/10.3389/fmicb.2016.01958.","productDescription":"Article 1958; 7 p.","ipdsId":"IP-061591","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2016.01958","text":"Publisher Index Page"},{"id":352777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5afeea5ae4b0da30c1bfc605","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656557,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178763,"text":"70178763 - 2016 - Geometallurgy of ironsand from the Waikato North Head deposit, New Zealand","interactions":[],"lastModifiedDate":"2017-03-16T14:34:34","indexId":"70178763","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geometallurgy of ironsand from the Waikato North Head deposit, New Zealand","docAbstract":"The Waikato North Head deposit produces a magnetic mineral concentrate from Quaternary sands that formed in a coastal setting in the North Island of New Zealand. Detailed examination of the magnetic mineral fraction of the different stratigraphic horizons mined at Waikato North Head shows that the youngest units yield concentrates with significant concentrations of gangue minerals that are included as composite grains, inclusions in titanomagnetite, and as gangue grains with titanomagnetite inclusions. The most abundant gangue minerals in the magnetic fractions of all mined units are pyroxene and amphibole; feldspar, quartz, and biotite are less abundant. \nThe magnetic minerals, which are predominantly titanomagnetite, are used as feed for the Iron Plant in New Zealand Steel’s Glenbrook Steel Mill. From time to time, excessive accretion formation impacts the operation of the rotary reduction kilns of the Iron Plant. Olivine group minerals are the most common silicate phase in these accretions, and we hypothesise that the silicon and magnesium in these minerals are derived from the gangue minerals that are included in the magnetic mineral concentrate from the ironsands. Although various remediation processes are possible, the simplest and most cost effective would appear to be ensuring adequate blending of material from different stratigraphic units, particularly when the youngest strata are being mined in the deposit.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"AusIMM Monograph 31: Mineral Deposits of New Zealand—Exploration and Research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"The Australasian Institute of Mining and Metallurgy","usgsCitation":"Mauk, J.L., Cocker, H.A., Rogers, H., Ogiliev, J., and Padya, A.B., 2016, Geometallurgy of ironsand from the Waikato North Head deposit, New Zealand, chap. of AusIMM Monograph 31: Mineral Deposits of New Zealand—Exploration and Research, p. 435-442.","productDescription":"8 p.","startPage":"435","endPage":"442","ipdsId":"IP-073743","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ce4b0849ce97dc752","contributors":{"authors":[{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":655087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cocker, Helen A","contributorId":177227,"corporation":false,"usgs":false,"family":"Cocker","given":"Helen","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":655088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Harold","contributorId":177228,"corporation":false,"usgs":false,"family":"Rogers","given":"Harold","email":"","affiliations":[],"preferred":false,"id":655089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogiliev, Jamie","contributorId":177229,"corporation":false,"usgs":false,"family":"Ogiliev","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":655090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padya, Alex B","contributorId":177230,"corporation":false,"usgs":false,"family":"Padya","given":"Alex","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":655091,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185995,"text":"70185995 - 2016 - A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater","interactions":[],"lastModifiedDate":"2017-03-30T11:21:50","indexId":"70185995","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater","docAbstract":"Numerous methods have been proposed to estimate the pre-nuclear-detonation 14C content of dissolved inorganic carbon (DIC) recharged to groundwater that has been corrected/adjusted for geochemical processes in the absence of radioactive decay (14C0) - a quantity that is essential for estimation of radiocarbon age of DIC in groundwater. The models/approaches most commonly used are grouped as follows: (1) single-sample-based models, (2) a statistical approach based on the observed (curved) relationship between 14C and δ13C data for the aquifer, and (3) the geochemical mass-balance approach that constructs adjustment models accounting for all the geochemical reactions known to occur along a groundwater flow path. This review discusses first the geochemical processes behind each of the single-sample-based models, followed by discussions of the statistical approach and the geochemical mass-balance approach. Finally, the applications, advantages and limitations of the three groups of models/approaches are discussed.
The single-sample-based models constitute the prevailing use of 14C data in hydrogeology and hydrological studies. This is in part because the models are applied to an individual water sample to estimate the 14C age, therefore the measurement data are easily available. These models have been shown to provide realistic radiocarbon ages in many studies. However, they usually are limited to simple carbonate aquifers and selection of model may have significant effects on 14C0 often resulting in a wide range of estimates of 14C ages.
Of the single-sample-based models, four are recommended for the estimation of 14C0 of DIC in groundwater: Pearson's model, (Ingerson and Pearson, 1964; Pearson and White, 1967), Han & Plummer's model (Han and Plummer, 2013), the IAEA model (Gonfiantini, 1972; Salem et al., 1980), and Oeschger's model (Geyh, 2000). These four models include all processes considered in single-sample-based models, and can be used in different ranges of 13C values.
In contrast to the single-sample-based models, the extended Gonfiantini & Zuppi model (Gonfiantini and Zuppi, 2003; Han et al., 2014) is a statistical approach. This approach can be used to estimate 14C ages when a curved relationship between the 14C and 13C values of the DIC data is observed. In addition to estimation of groundwater ages, the relationship between 14C and δ13C data can be used to interpret hydrogeological characteristics of the aquifer, e.g. estimating apparent rates of geochemical reactions and revealing the complexity of the geochemical environment, and identify samples that are not affected by the same set of reactions/processes as the rest of the dataset. The investigated water samples may have a wide range of ages, and for waters with very low values of 14C, the model based on statistics may give more reliable age estimates than those obtained from single-sample-based models. In the extended Gonfiantini & Zuppi model, a representative system-wide value of the initial 14C content is derived from the 14C and δ13C data of DIC and can differ from that used in single-sample-based models. Therefore, the extended Gonfiantini & Zuppi model usually avoids the effect of modern water components which might retain ‘bomb’ pulse signatures.
The geochemical mass-balance approach constructs an adjustment model that accounts for all the geochemical reactions known to occur along an aquifer flow path (Plummer et al., 1983; Wigley et al., 1978; Plummer et al., 1994; Plummer and Glynn, 2013), and includes, in addition to DIC, dissolved organic carbon (DOC) and methane (CH4). If sufficient chemical, mineralogical and isotopic data are available, the geochemical mass-balance method can yield the most accurate estimates of the adjusted radiocarbon age. The main limitation of this approach is that complete information is necessary on chemical, mineralogical and isotopic data and these data are often limited.
Failure to recognize the limitations and underlying assumptions on which the various models and approaches are based can result in a wide range of estimates of 14C0 and limit the usefulness of radiocarbon as a dating tool for groundwater. In each of the three generalized approaches (single-sample-based models, statistical approach, and geochemical mass-balance approach), successful application depends on scrutiny of the isotopic (14C and 13C) and chemical data to conceptualize the reactions and processes that affect the 14C content of DIC in aquifers. The recently developed graphical analysis method is shown to aid in determining which approach is most appropriate for the isotopic and chemical data from a groundwater system.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2015.11.004","usgsCitation":"Han, L.F., and Plummer, N., 2016, A review of single-sample-based models and other approaches for radiocarbon dating of dissolved inorganic carbon in groundwater: Earth-Science Reviews, v. 152, p. 119-142, https://doi.org/10.1016/j.earscirev.2015.11.004.","productDescription":"24 p.","startPage":"119","endPage":"142","ipdsId":"IP-068009","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca7","contributors":{"authors":[{"text":"Han, L. F","contributorId":190101,"corporation":false,"usgs":false,"family":"Han","given":"L.","email":"","middleInitial":"F","affiliations":[],"preferred":false,"id":687282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182743,"text":"70182743 - 2016 - Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles","interactions":[],"lastModifiedDate":"2017-11-03T18:33:48","indexId":"70182743","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles","docAbstract":"The weakest explosive volcanic eruptions globally, Strombolian explosions and Hawaiian fountaining, are also the most common. Yet, despite over a hundred years of observations, no classifications have offered a convincing, quantitative way of demarcating these two styles. New observations show that the two styles are distinct in their eruptive timescale, with the duration of Hawaiian fountaining exceeding Strombolian explosions by about 300 to 10,000 seconds. This reflects the underlying process of whether shallow-exsolved gas remains trapped in the erupting magma or whether it is decoupled from it. We propose here a classification scheme based on the duration of events (brief explosions versus prolonged fountains) with a cutoff at 300 seconds that separates transient Strombolian explosions from sustained Hawaiian fountains.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G37423.1","usgsCitation":"Houghton, B.F., Taddeucci, J., Andronico, D., Gonnerman, H., Pistolesi, M., Patrick, M.R., Orr, T.R., Swanson, D., Edmonds, M., Carey, R.J., and Scarlato, P., 2016, Stronger or longer: Discriminating between Hawaiian and Strombolian eruption styles: Geology, v. 44, no. 2, p. 163-166, https://doi.org/10.1130/G37423.1.","productDescription":"4 p. ","startPage":"163","endPage":"166","ipdsId":"IP-070802","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471369,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11568/903109","text":"External Repository"},{"id":336328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-07","publicationStatus":"PW","scienceBaseUri":"58b69a41e4b01ccd54ff3fa0","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":673539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taddeucci, Jacopo 0000-0002-0516-3699","orcid":"https://orcid.org/0000-0002-0516-3699","contributorId":184101,"corporation":false,"usgs":false,"family":"Taddeucci","given":"Jacopo","email":"","affiliations":[],"preferred":false,"id":673540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andronico, D.","contributorId":176191,"corporation":false,"usgs":false,"family":"Andronico","given":"D.","affiliations":[],"preferred":false,"id":673544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonnerman, H","contributorId":184102,"corporation":false,"usgs":false,"family":"Gonnerman","given":"H","email":"","affiliations":[],"preferred":false,"id":673541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pistolesi, M","contributorId":184103,"corporation":false,"usgs":false,"family":"Pistolesi","given":"M","email":"","affiliations":[],"preferred":false,"id":673542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edmonds, M","contributorId":184104,"corporation":false,"usgs":false,"family":"Edmonds","given":"M","affiliations":[],"preferred":false,"id":673547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carey, Rebecca J.","contributorId":145530,"corporation":false,"usgs":false,"family":"Carey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":673548,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scarlato, P.","contributorId":176195,"corporation":false,"usgs":false,"family":"Scarlato","given":"P.","affiliations":[],"preferred":false,"id":673549,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70171558,"text":"70171558 - 2016 - Acadia National Park Climate Change Scenario Planning Workshop summary","interactions":[],"lastModifiedDate":"2020-07-27T18:57:50.841175","indexId":"70171558","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Acadia National Park Climate Change Scenario Planning Workshop summary","docAbstract":"This report summarizes outcomes from a two-day scenario planning workshop for Acadia National Park, Maine (ACAD). The primary objective of the workshop was to help ACAD senior leadership make management and planning decisions based on up-to-date climate science and assessments of future uncertainty. The workshop was also designed as a training program, helping build participants' capabilities to develop and use scenarios. The details of the workshop are given in later sections. The climate scenarios presented here are based on published global climate model output. The scenario implications for resources and management decisions are based on expert knowledge distilled through scientist-manager interaction during workgroup break-out sessions at the workshop. Thus, the descriptions below are from these small-group discussions in a workshop setting and should not be taken as vetted research statements of responses to the climate scenarios, but rather as insights and examinations of possible futures (Martin et al. 2011, McBride et al. 2012).
","conferenceTitle":"Acadia National Park Climate Change Scenario Planning Workshop","conferenceDate":"October 5-6, 2015","conferenceLocation":"Acadia National Park, ME","language":"English","publisher":"National Park Service","usgsCitation":"Star, J., Fisichelli, N., Bryan, A., Babson, A., Cole-Will, R., and Miller-Rushing, A., 2016, Acadia National Park Climate Change Scenario Planning Workshop summary, Acadia National Park Climate Change Scenario Planning Workshop, Acadia National Park, ME, October 5-6, 2015, 50 p.","productDescription":"50 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075377","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":324103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324102,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/subjects/climatechange/acadiaworkshop.htm"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a652fe4b07657d1a11ceb","contributors":{"authors":[{"text":"Star, Jonathan","contributorId":168823,"corporation":false,"usgs":false,"family":"Star","given":"Jonathan","email":"","affiliations":[{"id":25365,"text":"Scenario Insight","active":true,"usgs":false}],"preferred":false,"id":631780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisichelli, Nicholas","contributorId":168824,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","affiliations":[{"id":25366,"text":"National Park Service, Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":631781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryan, Alexander 0000-0003-2040-7636 abryan@usgs.gov","orcid":"https://orcid.org/0000-0003-2040-7636","contributorId":168822,"corporation":false,"usgs":true,"family":"Bryan","given":"Alexander","email":"abryan@usgs.gov","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":631779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Babson, Amanda","contributorId":168825,"corporation":false,"usgs":false,"family":"Babson","given":"Amanda","email":"","affiliations":[{"id":25367,"text":"National Park Service, Northeast Region","active":true,"usgs":false}],"preferred":false,"id":631782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole-Will, Rebecca","contributorId":168826,"corporation":false,"usgs":false,"family":"Cole-Will","given":"Rebecca","email":"","affiliations":[{"id":25368,"text":"National Park Service, Acadia National Park","active":true,"usgs":false}],"preferred":false,"id":631783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller-Rushing, Abraham J.","contributorId":103561,"corporation":false,"usgs":true,"family":"Miller-Rushing","given":"Abraham J.","affiliations":[],"preferred":false,"id":631784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048652,"text":"70048652 - 2016 - By-products of porphyry copper and molybdenum deposits","interactions":[],"lastModifiedDate":"2022-12-29T15:36:53.359262","indexId":"70048652","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"By-products of porphyry copper and molybdenum deposits","docAbstract":"Porphyry Cu and porphyry Mo deposits are large to giant deposits ranging up to >20 and 1.6 Gt of ore, respectively, that supply about 60 and 95% of the world’s copper and molybdenum, as well as significant amounts of gold and silver. These deposits form from hydrothermal systems that affect 10s to >100 km3 of the upper crust and result in enormous mass redistribution and potential concentration of many elements.
Several critical elements, including Re, Se, and Te, which lack primary ores, are concentrated locally in some porphyry Cu deposits, and despite their low average concentrations in Cu-Mo-Au ores (100s of ppb to a few ppm), about 80% of the Re and nearly all of the Se and Te produced by mining is from porphyry Cu deposits.
Rhenium is concentrated in molybdenite, whose Re content varies from about 100 to 3,000 ppm in porphyry Cu deposits, ≤150 ppm in arc-related porphyry Mo deposits, and ≤35 ppm in alkali-feldspar rhyolite-granite (Climax-type) porphyry Mo deposits. Because of the relatively small size of porphyry Mo deposits compared to porphyry Cu deposits and the generally low Re contents of molybdenites in them, rhenium is not recovered from porphyry Mo deposits. The potential causes of the variation in Re content of molybdenites in porphyry deposits are numerous and complex, and this variation is likely the result of a combination of processes that may change between and within deposits. These processes range from variations in source and composition of parental magmas to physiochemical changes in the shallow hydrothermal environment. Because of the immense size of known and potential porphyry Cu resources, especially continental margin arc deposits, these deposits likely will provide most of the global supply of Re, Te, and Se for the foreseeable future.
Although Pd and lesser Pt are recovered from some deposits, platinum group metals are not strongly enriched in porphyry Cu deposits and PGM resources contained in known porphyry deposits are small. Because there are much larger known PGM resources in deposits in which PGMs are the primary commodities, it is unlikely that porphyry deposits will become a major source of PGMs.
Other critical commodities, such as In and Nb, may eventually be recovered from porphyry Cu and Mo deposits, but available data do not clearly define significant resources of these commodities in porphyry deposits. Although alkali-feldspar rhyolite-granite porphyry Mo deposits and their cogenetic intrusions are locally enriched in many rare metals (such as Li, Nb, Rb, Sn, Ta, and REEs) and minor amounts of REEs and Sn have been recovered from the Climax mine, these elements are generally found in uneconomic concentrations.
As global demand increases for critical elements that are essential for the modern world, porphyry deposits will play an increasingly important role as suppliers of some of these metals. The affinity of these metals and the larger size and greater number of porphyry Cu deposits suggest that they will remain more significant than porphyry Mo deposits in supplying many of these critical metals.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rare earth and critical elements in ore deposits","largerWorkSubtype":{"id":15,"text":"Monograph"},"publisher":"Society of Economic Geologists","doi":"10.5382/Rev.18.07","usgsCitation":"John, D.A., and Taylor, R.D., 2016, By-products of porphyry copper and molybdenum deposits, chap. 7 of Rare earth and critical elements in ore deposits, v. 18, p. 137-164, https://doi.org/10.5382/Rev.18.07.","productDescription":"28 p.","startPage":"137","endPage":"164","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050834","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":355932,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fca44e4b0f5d57878ec95","contributors":{"editors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":740796,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hitzman, Murray W. 0000-0002-3876-0537 mhitzman@usgs.gov","orcid":"https://orcid.org/0000-0002-3876-0537","contributorId":200913,"corporation":false,"usgs":true,"family":"Hitzman","given":"Murray","email":"mhitzman@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":740797,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":518222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryan D. 0000-0002-8845-5290 rtaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":3412,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"rtaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":518223,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169911,"text":"70169911 - 2016 - Modeling abundance using hierarchical distance sampling","interactions":[],"lastModifiedDate":"2016-04-24T11:23:06","indexId":"70169911","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modeling abundance using hierarchical distance sampling","docAbstract":"In this chapter, we provide an introduction to classical distance sampling ideas for point and line transect data, and for continuous and binned distance data. We introduce the conditional and the full likelihood, and we discuss Bayesian analysis of these models in BUGS using the idea of data augmentation, which we discussed in Chapter 7. We then extend the basic ideas to the problem of hierarchical distance sampling (HDS), where we have multiple point or transect sample units in space (or possibly in time). The benefit of HDS in practice is that it allows us to directly model spatial variation in population size among these sample units. This is a preeminent concern of most field studies that use distance sampling methods, but it is not a problem that has received much attention in the literature. We show how to analyze HDS models in both the unmarked package and in the BUGS language for point and line transects, and for continuous and binned distance data. We provide a case study of HDS applied to a survey of the island scrub-jay on Santa Cruz Island, California.
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