{"pageNumber":"34","pageRowStart":"825","pageSize":"25","recordCount":4111,"records":[{"id":70228035,"text":"70228035 - 2020 - Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","interactions":[],"lastModifiedDate":"2022-02-03T16:23:47.524057","indexId":"70228035","displayToPublicDate":"2020-01-20T10:20:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding and diet of White-tailed Kites (<i>Elanus leucurus</i>) in the Texas panhandle","title":"Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle","docAbstract":"<p><span>White-tailed Kites (</span><i>Elanus leucurus</i><span>) are grassland raptors that typically breed along coastal regions, particularly in California, southeastern Texas, and southern Florida. This species is irregular in the Texas panhandle, with few confirmed breeding and sighting records. We describe the first breeding record in Lubbock County, Texas, in which a pair of adults successfully raised 2 young in 2017 and may have returned and nested in 2018. Evaluation of cast pellets suggested dietary composition primarily consisted of diurnal rodents. Additionally, we compiled published and unpublished sighting and breeding records for the region and discovered reports for 2 nearby counties (Crosby and Kent counties, Texas) where White-tailed Kites have nested over multiple years, as well as several more counties with sighting records. Our data indicate that the southern extent of the Texas panhandle is now part of the species' breeding or “rare” range.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/1559-4491-131.4.844","usgsCitation":"Watson, K., Greene, D.U., and Boal, C.W., 2020, Breeding and diet of White-tailed Kites (Elanus leucurus) in the Texas panhandle: Wilson Journal of Ornithology, v. 131, no. 4, p. 844-849, https://doi.org/10.1676/1559-4491-131.4.844.","productDescription":"6 p.","startPage":"844","endPage":"849","ipdsId":"IP-096826","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.040771484375,\n              34.20725938207231\n            ],\n            [\n              -99.964599609375,\n              34.20725938207231\n            ],\n            [\n              -99.964599609375,\n              36.491973470593685\n            ],\n            [\n              -103.040771484375,\n              36.491973470593685\n            ],\n            [\n              -103.040771484375,\n              34.20725938207231\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Katheryn","contributorId":274370,"corporation":false,"usgs":false,"family":"Watson","given":"Katheryn","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":832941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Daniel U.","contributorId":274371,"corporation":false,"usgs":false,"family":"Greene","given":"Daniel","email":"","middleInitial":"U.","affiliations":[{"id":56610,"text":"Weyerhaeuser Company","active":true,"usgs":false}],"preferred":false,"id":832942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228356,"text":"70228356 - 2020 - Use of underwater videography to quantify conditions utilized by endangered Moapa Dace While spawning","interactions":[],"lastModifiedDate":"2022-02-09T18:06:42.187099","indexId":"70228356","displayToPublicDate":"2020-01-16T11:58:29","publicationYear":"2020","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":"Use of underwater videography to quantify conditions utilized by endangered Moapa Dace While spawning","docAbstract":"<p><span>Advances in underwater camera technology provide an affordable means to quantify the environmental conditions under which fish spawn. This information is important for investigating spawning ecology, managing habitat, or providing information for captive breeding programs. We deployed 12 modified security cameras underwater to identify environmental conditions related to the spawning behavior of the critically endangered Moapa Dace&nbsp;</span><i>Moapa coriacea</i><span>, a Mojave Desert stream-dwelling cyprinid that had never been observed spawning and that had fallen to a low of 459 individual fish 4&nbsp;years prior to this study. Camera sites were selected systematically along the stream to represent the variety of conditions available. We divided the field of view in front of each camera into a grid, and we estimated both the available environment and the habitat over which Moapa Dace showed spawning behavior. From over 4,000 10-min video clips that were randomly selected for analysis, 13 spawning events were identified. Using nonparametric contingency table analyses, we found that Moapa Dace selected depths between 30 and 34&nbsp;cm, water velocities between 0.11 and 0.17&nbsp;m/s, cobble substrate, and overhead instream cover. Although the recorded sample size of spawning events was small (13), our sample represents a large proportion of events given that the world's entire population of Moapa Dace at the time was approximately 650 fish distributed over multiple kilometers of stream length. Environmental conditions identified by this study were replicated in laboratory facilities to successfully propagate Moapa Dace for the first time in captivity. These propagation methods are now used in a management setting by the Nevada Department of Wildlife to maintain a captive population of this rare fish. Camera methods can be effective in helping to identify spawning conditions where water clarity is sufficient.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10356","usgsCitation":"Ruggirello, J.E., Bonar, S.A., Feuerbacher, O.G., and Simons, L.H., 2020, Use of underwater videography to quantify conditions utilized by endangered Moapa Dace While spawning: North American Journal of Fisheries Management, v. 40, no. 1, p. 17-28, https://doi.org/10.1002/nafm.10356.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-110930","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Plumer Stream, Warm Springs area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.74601745605469,\n              36.696502641380036\n            ],\n            [\n              -114.66361999511719,\n              36.696502641380036\n            ],\n            [\n              -114.66361999511719,\n              36.74108512094412\n            ],\n            [\n              -114.74601745605469,\n              36.74108512094412\n            ],\n            [\n              -114.74601745605469,\n              36.696502641380036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruggirello, Jack E.","contributorId":30526,"corporation":false,"usgs":true,"family":"Ruggirello","given":"Jack","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":833924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feuerbacher, Olin G.","contributorId":275282,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","email":"","middleInitial":"G.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":833925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simons, Lee H.","contributorId":264621,"corporation":false,"usgs":false,"family":"Simons","given":"Lee","email":"","middleInitial":"H.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":833926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208459,"text":"70208459 - 2020 - Amphibian chytrid prevalence on boreal toads in SE Alaska and NW British Columbia: Tests of habitat, life stages, and temporal trends","interactions":[],"lastModifiedDate":"2020-02-12T06:13:53","indexId":"70208459","displayToPublicDate":"2020-01-16T07:52:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian chytrid prevalence on boreal toads in SE Alaska and NW British Columbia: Tests of habitat, life stages, and temporal trends","docAbstract":"Tracking and understanding variation in pathogens such as Batrachochytrium dendrobatidis ([Bd]), which causes amphibian chytridiomycosis and has caused population declines globally, is a priority for many land managers. However, there has been relatively little sampling of amphibian communities at high latitudes. We used skin swabs collected during 2005–2017 from boreal toads (Anaxyrus boreas; N = 248), in southeast Alaska (USA; primarily in Klondike Gold Rush National Historical Park [KLGO]) and northwest British Columbia (Canada) to determine how Bd prevalence varied across life stages, habitat characteristics, local species richness, and time. Across all years, Bd prevalence peaked in June and was >3 times greater for adult toads (37.5%) vs. juveniles and metamorphs (11.2%). Bd prevalence for toads in the KLGO area, where other amphibian species are rare or absent, was highest from river habitats (55.0%), followed by human-modified upland wetlands (32.3%) and natural upland wetlands (12.7%) — the same rank-order these habitats are used for toad breeding. No Columbia spotted frogs (N = 12) or wood frogs (N = 2) from the study area tested Bd-positive, although all were from an area of low host density where Bd has not been detected. Prevalence of Bd on toads in the KLGO area decreased during 2005–2015. This trend from a largely single-species system may be encouraging or concerning, depending on how Bd is affecting vital rates, and emphasizes the need to understand effects of pathogens before translating disease prevalence into management actions.","language":"English","publisher":"Inter-Research","doi":"10.3354/dao03430","usgsCitation":"Hossack, B.R., Adams, M.J., Honeycutt, R., Belt, J.J., and Pyare, S., 2020, Amphibian chytrid prevalence on boreal toads in SE Alaska and NW British Columbia: Tests of habitat, life stages, and temporal trends: Diseases of Aquatic Organisms, v. 137, p. 159-165, https://doi.org/10.3354/dao03430.","productDescription":"7 p.","startPage":"159","endPage":"165","ipdsId":"IP-109582","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":372209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Southeastern Alaska, Northwestern British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.416015625,\n              60.02095215374802\n            ],\n            [\n              -139.04296875,\n              58.03137242177637\n            ],\n            [\n              -133.9453125,\n              52.26815737376817\n            ],\n            [\n              -130.166015625,\n              50.62507306341435\n            ],\n            [\n              -124.1015625,\n              51.6180165487737\n            ],\n            [\n              -127.79296875,\n              53.330872983017066\n            ],\n            [\n              -129.814453125,\n              57.89149735271034\n            ],\n            [\n              -137.4609375,\n              61.18562468142281\n            ],\n            [\n              -141.416015625,\n              60.02095215374802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"137","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":781975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":781976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honeycutt, R Ken","contributorId":222362,"corporation":false,"usgs":false,"family":"Honeycutt","given":"R Ken","affiliations":[],"preferred":false,"id":781977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belt, Jami J","contributorId":222363,"corporation":false,"usgs":false,"family":"Belt","given":"Jami","email":"","middleInitial":"J","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":781978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pyare, S","contributorId":222364,"corporation":false,"usgs":false,"family":"Pyare","given":"S","affiliations":[{"id":40534,"text":"University of Alaska Southeast, Juneau","active":true,"usgs":false}],"preferred":false,"id":781979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211640,"text":"70211640 - 2020 - Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis)","interactions":[],"lastModifiedDate":"2020-08-06T19:55:59.712564","indexId":"70211640","displayToPublicDate":"2020-01-09T09:25:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5991,"text":"The Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Co-occurence of Chiricahua leopard frogs (<i>Lithobates chiricahuensis</i>) with sunfish (<i>Lepomis</i>)","title":"Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis)","docAbstract":"<p><span>Invasive species are a major threat to the persistence of native species, particularly in systems where ephemeral aquatic habitats have been replaced by permanent water and predators, such as fish, have been introduced. Within the Altar Valley, Arizona, the invasive American bullfrog,&nbsp;</span><i>Lithobates catesbeianus</i><span>&nbsp;(formerly&nbsp;</span><i>Rana catesbeianus</i><span>), has been successfully eradicated to help recover Chiricahua leopard frogs (</span><i>Lithobates chiricahuensis</i><span>). However, other nonnative predators including sunfish (</span><i>Lepomis</i><span>) are present in some permanent water bodies. During four consecutive years (2014–2017), we detected both the federally threatened Chiricahua leopard frog and sunfish at one permanent water body in the Altar Valley. This suggests that despite the potential negative effect of predatory fish on amphibians, there may be conditions where the Chiricahua leopard frog can co-occur with this nonnative predator. A better understanding of rare situations of co-occurrence with nonnative predators may contribute to our understanding of why co-occurrence happens in some, but not all, systems and whether conservation strategies can be developed in situations where eradication of nonnative predators is infeasible.</span></p>","language":"English","publisher":"BioOne","doi":"10.1894/0038-4909-64-1-69","usgsCitation":"Howell, P., Sigafus, B.H., Hossack, B.R., and Muths, E.L., 2020, Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis): The Southwestern Naturalist, v. 64, no. 1, p. 69-72, https://doi.org/10.1894/0038-4909-64-1-69.","productDescription":"4 p.","startPage":"69","endPage":"72","numberOfPages":"4","ipdsId":"IP-091934","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":377105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Alter Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.785888671875,\n              31.51767878128718\n            ],\n            [\n              -111.19537353515624,\n              31.51767878128718\n            ],\n            [\n              -111.19537353515624,\n              32.16631295696736\n            ],\n            [\n              -111.785888671875,\n              32.16631295696736\n            ],\n            [\n              -111.785888671875,\n              31.51767878128718\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige E.","contributorId":173495,"corporation":false,"usgs":false,"family":"Howell","given":"Paige E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":794902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3121 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3121","contributorId":236995,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":794903,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207998,"text":"70207998 - 2020 - Zircon-hosted melt inclusion record of silicic magmatism in the Mesoproterozoic St. Francois Mountains terrane, Missouri: Origin of the Pea Ridge iron oxide-apatite rare earth element deposit and implications for regional crustal pathways of mineralization","interactions":[],"lastModifiedDate":"2020-01-23T06:25:56","indexId":"70207998","displayToPublicDate":"2020-01-07T06:23:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Zircon-hosted melt inclusion record of silicic magmatism in the Mesoproterozoic St. Francois Mountains terrane, Missouri: Origin of the Pea Ridge iron oxide-apatite rare earth element deposit and implications for regional crustal pathways of mineralization","docAbstract":"Voluminous silicic magmatism was coeval with iron ore mineralization in the St.\nFrancois Mountains terrane in southeast Missouri, part of the broader Mesoproterozoic\nGranite-Rhyolite province along the eastern margin of Laurentia. Some of the iron\ndeposits contain extraordinary endowments of critical elements, such as the Pea Ridge\niron oxide-apatite (IOA) deposit, which has an average grade of ~12 wt% rare earth\noxides in breccia pipes that flank the ore body. To assess the role of silicic magmatism in\nthe genesis of the Pea Ridge deposit, we present a high-spatial resolution study of zirconhosted\nmelt inclusions from rhyolitic ash-flow tuffs. Melt inclusion data are combined\nwith textural, geochemical, and geochronological analyses of zircon hosts to elucidate the\nmagmatic-hydrothermal evolution of the Pea Ridge system. Two contemporaneous silicic\nigneous centers in the St. Francois Mountains terrane, Bourbon and Eminence, were\nstudied for comparison. Pea Ridge melt inclusions are trachydacitic to rhyolitic (~63-79\nwt% SiO2, ~5.6-11.7 wt% Na2O+K2O) with very high Cl in the least-evolved and most\nalkaline melt inclusions (~2,000-5,000 ppm Cl). Rare earth elements (REE) in melt\ninclusions have identical chondrite-normalized patterns to the mineralized breccia pipes,\nbut with systematically lower absolute concentrations. Haplogranite ternary pressures\nrange from ~0.5-10 kbar, with an average of ~2-3 kbar (7-12 km depth), and liquidus\ntemperatures are ~850-950 °C, with an average of ~920 °C. Silicate and phosphate\nmineral inclusions have compositions that overlap minerals from the iron ore body and\nbreccia pipes, recording a transition from igneous to hydrothermal zircon growth.\nIgneous iron oxide inclusions have compositions that indicate Pea Ridge magmas were\nreduced to moderately oxidized (log fO2 of -0.8 to -1.84 NNO). Zircons from two Pea\nRidge samples have 207Pb/206Pb concordia ages of 1456 ± 9 Ma and 1467 ± 13 Ma that\noverlap published ages for the breccia pipes and iron ore zones of the Pea Ridge deposit.\nA population of texturally and chemically disrupted zircons have discordant domains that\ncorrespond to high Fe, U, and REE concentrations, consistent with the unique\ngeochemical attributes of the IOA-REE ore body. Inherited cores in Pea Ridge and\nBourbon zircons have concordant 207Pb/206Pb dates of 1550-1618 Ma, providing direct\nevidence of cratonic basement beneath these centers. Oxygen isotope data for inherited\nand autocrystic igneous zircons span from mantle to crustal values (18Ozircon=5.5-7.9‰).\nOur data are consistent with a model in which metasomatized mantle components were\nmixed with cratonic and accreted crustal material in a back-arc or rifted segment of a\nvolcanic arc, with ore fluids derived from Cl-rich melts to transport Fe and REE in a\nlong-lived (tens of Myr), pulsed, magmatic-hydrothermal system. Bourbon, which also\npossesses IOA mineralization, shares key petrologic similarities with the Pea Ridge\nsystem, whereas Eminence, which is not mineralized, has disparate geochemical and\nisotopic signatures that indicate it formed in a different crustal setting. The location of\nPea Ridge and Bourbon along a cratonic margin may have been important in focusing\nsilicic melts and mineralization in the upper crust, serving as a guide for future\nexploration efforts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2019.12.032","usgsCitation":"Watts, K., and Mercer, C.N., 2020, Zircon-hosted melt inclusion record of silicic magmatism in the Mesoproterozoic St. Francois Mountains terrane, Missouri: Origin of the Pea Ridge iron oxide-apatite rare earth element deposit and implications for regional crustal pathways of mineralization: Geochimica et Cosmochimica Acta, v. 272, p. 54-77, https://doi.org/10.1016/j.gca.2019.12.032.","productDescription":"24 p.","startPage":"54","endPage":"77","ipdsId":"IP-111591","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":458206,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2019.12.032","text":"Publisher Index Page"},{"id":437178,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TFVXR5","text":"USGS data release","linkHelpText":"Geochemistry, geochronology, and isotope geochemistry data for zircons and zircon-hosted melt and mineral inclusions in the St. Francois Mountains terrane, Missouri"},{"id":371486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.2412109375,\n              36.58024660149866\n            ],\n            [\n              -89.967041015625,\n              36.58024660149866\n            ],\n            [\n              -89.967041015625,\n              38.34165619279595\n            ],\n            [\n              -92.2412109375,\n              38.34165619279595\n            ],\n            [\n              -92.2412109375,\n              36.58024660149866\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"272","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":780089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780090,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208124,"text":"70208124 - 2020 - Dermal denticle assemblages in coral reef sediments correlate with conventional shark surveys","interactions":[],"lastModifiedDate":"2020-03-11T14:31:21","indexId":"70208124","displayToPublicDate":"2020-01-04T15:55:30","publicationYear":"2020","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":"Dermal denticle assemblages in coral reef sediments correlate with conventional shark surveys","docAbstract":"<p>1. It is challenging to assess long-term trends in mobile, long-lived, and relatively rare species such as sharks. Despite ongoing declines in many coastal shark populations, conventional surveys might be too fleeting and too recent to describe population trends over decades to millennia. Placing recent shark declines into historical context should improve management efforts as well as our understanding of past ecosystem dynamics. </p><p>2. A new paleoecological approach for surveying shark abundance on coral reefs is to quantify dermal denticle assemblages preserved in sediments. This approach assumes that denticle accumulation rates correlate with shark abundances. Here, we test this assumption by comparing the denticle record in surface sediments to three conventional shark survey methods at Palmyra Atoll, Line Islands, central Pacific Ocean, where shark density is high and spatially heterogeneous. </p><p>3. We generally found a significant positive correlation between denticle accumulation rates and shark abundances derived from underwater visual census, baited remote underwater video, and hook and line surveys. </p><p>4. Denticle accumulation rates reflected shark abundances, suggesting that denticle assemblages can preserve a signal of time-averaged shark abundance in low-energy coral reef environments. We offer suggestions for applying this tool to measure shark abundance over long timescales in other contexts.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13346","usgsCitation":"Dillon, E.M., Lafferty, K.D., McCauley, D.J., Bradley, D., Norris, R.D., Caselle, J.E., DiRenzo, G.V., Gardner, J.P., and O’Dea, A., 2020, Dermal denticle assemblages in coral reef sediments correlate with conventional shark surveys: Methods in Ecology and Evolution, v. 11, no. 3, p. 362-375, https://doi.org/10.1111/2041-210X.13346.","productDescription":"14 p.","startPage":"362","endPage":"375","ipdsId":"IP-113704","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13346","text":"Publisher Index Page"},{"id":371661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Palmyra Atoll Fish and Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.17605590820312,\n              5.840763926791161\n            ],\n            [\n              -161.97898864746094,\n              5.840763926791161\n            ],\n            [\n              -161.97898864746094,\n              5.919995673041826\n            ],\n            [\n              -162.17605590820312,\n              5.919995673041826\n            ],\n            [\n              -162.17605590820312,\n              5.840763926791161\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Dillon, Erin M.","contributorId":221878,"corporation":false,"usgs":false,"family":"Dillon","given":"Erin","email":"","middleInitial":"M.","affiliations":[{"id":34029,"text":"U.C. Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":780608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCauley, Douglas J.","contributorId":221879,"corporation":false,"usgs":false,"family":"McCauley","given":"Douglas","email":"","middleInitial":"J.","affiliations":[{"id":34029,"text":"U.C. Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":780609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Darcy","contributorId":221880,"corporation":false,"usgs":false,"family":"Bradley","given":"Darcy","email":"","affiliations":[{"id":34029,"text":"U.C. Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":780610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norris, Richard D.","contributorId":221881,"corporation":false,"usgs":false,"family":"Norris","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":40452,"text":"U.C. San Diego","active":true,"usgs":false}],"preferred":false,"id":780611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caselle, Jennifer E.","contributorId":127450,"corporation":false,"usgs":false,"family":"Caselle","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":780612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":780613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardner, Jonathan P.A.","contributorId":221882,"corporation":false,"usgs":false,"family":"Gardner","given":"Jonathan","email":"","middleInitial":"P.A.","affiliations":[{"id":40453,"text":"Victoria University, NZ","active":true,"usgs":false}],"preferred":false,"id":780614,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Dea, Aaron","contributorId":174330,"corporation":false,"usgs":false,"family":"O’Dea","given":"Aaron","email":"","affiliations":[{"id":27419,"text":"Smithsonian Tropical Research Institute, P.O. Box 0843-03092, Balboa, Republic of Panama","active":true,"usgs":false}],"preferred":false,"id":780615,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70211941,"text":"70211941 - 2020 - Geophysical characterization of a Proterozoic REE terrane at Mountain Pass, eastern Mojave Desert, California","interactions":[],"lastModifiedDate":"2020-08-12T20:06:20.547455","indexId":"70211941","displayToPublicDate":"2019-12-19T15:00:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical characterization of a Proterozoic REE terrane at Mountain Pass, eastern Mojave Desert, California","docAbstract":"<p><span>Mountain Pass, California (USA), located in the eastern Mojave Desert, hosts one of the world’s richest rare earth element (REE) deposits. The REE-rich terrane occurs in a 2.5-km-wide, northwest-trending belt of Mesoproterozoic (1.4 Ga) stocks and dikes, which intrude a larger Paleoproterozoic (1.7 Ga) metamorphic block that extends ∼10 km southward from Clark Mountain to the eastern Mescal Range. To characterize the REE terrane, gravity, magnetic, magnetotelluric, and whole-rock physical property data were analyzed. Geophysical data reveal that the Mountain Pass carbonatite body is associated with an ∼5 mGal local gravity high that is superimposed on a gravity terrace (∼4 km wide) caused by granitic Paleoproterozoic host rocks. Physical rock property data indicate that the Mountain Pass REE suite is essentially nonmagnetic at the surface with a magnetic susceptibility of 2.0 × 10</span><sup>−3</sup><span>&nbsp;SI (</span><i>n</i><span>&nbsp;= 57), and lower-than-expected magnetizations may be the result of alteration. However, aeromagnetic data indicate that the intrusive suite occurs along the eastern edge of a distinct northwest-trending aeromagnetic high along the eastern Mescal Range. The source of this magnetic anomaly is ∼1.5–2 km below the surface and coincides with an electrical conductivity zone that is several orders of magnitude more conductive than the surrounding rock. The source of the magnetic anomaly is likely a moderately magnetic pluton. Combined geophysical data and models suggest that the carbonatite and its associated REE-enriched ultrapotassic suite were preferentially emplaced along a northwest-trending zone of weakness, which has potential implications for regional mineral exploration.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02066.1","usgsCitation":"Denton, K., Ponce, D.A., Peacock, J., and Miller, D., 2020, Geophysical characterization of a Proterozoic REE terrane at Mountain Pass, eastern Mojave Desert, California: Geosphere, v. 16, no. 1, p. 456-471, https://doi.org/10.1130/GES02066.1.","productDescription":"16 p.","startPage":"456","endPage":"471","ipdsId":"IP-097916","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":458330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02066.1","text":"Publisher Index Page"},{"id":377423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mountain Pass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.04583740234374,\n              35.0254981588326\n            ],\n            [\n              -115.103759765625,\n              35.0254981588326\n            ],\n            [\n              -115.103759765625,\n              35.628279555648845\n            ],\n            [\n              -116.04583740234374,\n              35.628279555648845\n            ],\n            [\n              -116.04583740234374,\n              35.0254981588326\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":795900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795902,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210758,"text":"70210758 - 2020 - Postmortem evaluation of reintroduced migratory whooping cranes (Grus americana) in eastern North America","interactions":[],"lastModifiedDate":"2023-06-21T16:54:08.35167","indexId":"70210758","displayToPublicDate":"2019-12-19T10:17:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3768,"text":"Wildlife Disease","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Postmortem evaluation of reintroduced migratory whooping cranes (<i>Grus americana</i>) in eastern North America","title":"Postmortem evaluation of reintroduced migratory whooping cranes (Grus americana) in eastern North America","docAbstract":"<p><span>We reviewed necropsy records of 124 Whooping Cranes (</span><i>Grus americana</i><span>) recovered following reintroduction of 268 individuals from 2001 to 2016 in the eastern US. Causes of death were determined in 62% (77/124) of cases facilitated by active monitoring that limited decomposition and scavenging artifact. The greatest proportions of mortality were caused by predation (0.468; 95% confidence interval 0.356–0.580; 36/77), collision with power lines or vehicles (0.260; 0.162–0.358; 20/77), and gunshot (0.169; 0.085–0.253; 13/77). Six deaths were attributed to infection (0.078; 0.018–0.138; 6/77), including bacterial and fungal etiologies. Lead analysis of 50 liver samples yielded two results with elevated concentrations (3.65 and 10.97 ppm wet weight), and 10 bone samples from partial carcasses lacking suitable liver tissue resulted in one elevated result (48.82 ppm dry weight). These data indicate that underlying subclinical or clinical lead toxicosis may be a factor in up to 5% of deaths attributed to predation or impact trauma. Brain cholinesterase activity testing indicated no exposure to organophosphate or carbamate pesticides (mean±SD=17.32±2.90 µmol/min/g, 31/71). The causes of death and potential underlying factors summarized in this study constitute the first definitive mortality survey of migratory Whooping Cranes based on a high carcass recovery rate. Causes of death by infectious etiologies remained comparatively rare in this study, and occurred as single cases with no evidence of sustained transmission among reintroduced Whooping Cranes.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2019-05-124","usgsCitation":"Yaw, T.J., Miller, K.J., Lankton, J.S., and Hartup, B.K., 2020, Postmortem evaluation of reintroduced migratory whooping cranes (Grus americana) in eastern North America: Wildlife Disease, v. 56, no. 3, p. 673-678, https://doi.org/10.7589/2019-05-124.","productDescription":"6 p.; Data Release","startPage":"673","endPage":"678","ipdsId":"IP-104967","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":375814,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418310,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MR4XN4"}],"country":"Canada, United States","otherGeospatial":"Eastern North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.5517578125,\n              25.3241665257384\n            ],\n            [\n              -79.8046875,\n              27.449790329784214\n            ],\n            [\n              -80.947265625,\n              31.353636941500987\n            ],\n            [\n              -75.1025390625,\n              35.88905007936091\n            ],\n            [\n              -76.2451171875,\n              38.95940879245423\n            ],\n            [\n              -76.11328125,\n              39.70718665682654\n            ],\n            [\n              -80.68359375,\n              39.774769485295465\n            ],\n            [\n              -80.37597656249999,\n              41.96765920367816\n            ],\n            [\n              -78.662109375,\n              47.66538735632654\n            ],\n            [\n              -81.1669921875,\n              52.26815737376817\n            ],\n            [\n              -92.59277343749999,\n              52.16045455774706\n            ],\n            [\n              -96.94335937499999,\n              52.696361078274485\n            ],\n            [\n              -97.20703125,\n              49.009050809382046\n            ],\n            [\n              -96.6357421875,\n              43.54854811091286\n            ],\n            [\n              -95.97656249999999,\n              41.376808565702355\n            ],\n            [\n              -97.3828125,\n              31.653381399664\n            ],\n            [\n              -96.8994140625,\n              27.68352808378776\n            ],\n            [\n              -92.8125,\n              28.844673680771795\n            ],\n            [\n              -88.06640625,\n              29.305561325527698\n            ],\n            [\n              -84.814453125,\n              29.267232865200878\n            ],\n            [\n              -82.529296875,\n              27.01998400798257\n            ],\n            [\n              -80.5517578125,\n              25.3241665257384\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yaw, Taylor J.","contributorId":225414,"corporation":false,"usgs":false,"family":"Yaw","given":"Taylor","email":"","middleInitial":"J.","affiliations":[{"id":41101,"text":"School of Veterinary Medicine, Department of Surgical Sciences, University of Wisconsin, Madison, Wisconsin 53706, USA","active":true,"usgs":false}],"preferred":false,"id":791304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Kimberli J.G. 0000-0002-7947-0894","orcid":"https://orcid.org/0000-0002-7947-0894","contributorId":81447,"corporation":false,"usgs":true,"family":"Miller","given":"Kimberli","email":"","middleInitial":"J.G.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":791305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":791306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartup, Barry K.","contributorId":209630,"corporation":false,"usgs":false,"family":"Hartup","given":"Barry","email":"","middleInitial":"K.","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":791307,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70218479,"text":"70218479 - 2020 - Deposition potential and flow-response dynamics of emergent sandbars in a braided river","interactions":[],"lastModifiedDate":"2021-03-02T13:01:45.819116","indexId":"70218479","displayToPublicDate":"2019-11-23T08:35:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Deposition potential and flow-response dynamics of emergent sandbars in a braided river","docAbstract":"<p><span>Sandbars are ubiquitous in sandy‐braided rivers throughout the world. In the Great Plains of the United States, recovery and expansion of emergent sandbar habitat (ESH) has been a priority in lowland rivers where the natural extent of sandbars has been degraded. Recovery efforts are aimed at protection of populations of the interior least tern (</span><i>Sterna antillarum</i><span>) and piping plover (</span><i>Charadrius melodus</i><span>). But quantitative observations of deposition and erosion dynamics of populations of sandbars across long segments of rivers are rare. We present a three‐part case study which used Bayesian regression models to examine relations between hydrology, channel morphology, and ESH responses in the Platte River, eastern Nebraska. Logistic regression indicates presence of ESH is positively related to the Parker, (1976) stability criterion and a gradient in sediment transport mode, and negatively related to presence of vegetation. Hierarchical linear regression modeling shows direct coupling between sandbar top‐surface height and formative flood magnitude, but the gap between formative flood stage and sandbar top‐surface increases with increasing discharge. Finally, linear regression modeling of sandbar erosion demonstrates rates of ESH erosion are on the order of 10</span><sup>−1</sup><span>&nbsp;ha/day during high‐flow periods and 10</span><sup>−2</sup><span>&nbsp;during low‐flow periods, but sandbar persistence is largely a function of sandbar starting size. The collective observations highlight the importance of large floods (&gt;3‐year recurrence) in creating very large sandbars that persist as high‐quality ESH over periods of years whereas lower‐magnitude, more‐frequent flood events create lower‐quality ESH that typically does not persist into the following nesting season.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR024107","usgsCitation":"Alexander, J., McElroy, B., Huzurbazar, S., Elliott, C.M., and Murr, M.L., 2020, Deposition potential and flow-response dynamics of emergent sandbars in a braided river: Water Resources Research, v. 56, no. 1, e2018WR024107, 23 p., https://doi.org/10.1029/2018WR024107.","productDescription":"e2018WR024107, 23 p.","ipdsId":"IP-098093","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":383680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.11865234374999,\n              40.66397287638688\n            ],\n            [\n              -95.8502197265625,\n              40.66397287638688\n            ],\n            [\n              -95.8502197265625,\n              42.11859868281563\n            ],\n            [\n              -99.11865234374999,\n              42.11859868281563\n            ],\n            [\n              -99.11865234374999,\n              40.66397287638688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":204220,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","active":true,"usgs":false},{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":811168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":811169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huzurbazar, Snehalata","contributorId":85903,"corporation":false,"usgs":false,"family":"Huzurbazar","given":"Snehalata","email":"","affiliations":[],"preferred":false,"id":811171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":811172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murr, Marissa L.","contributorId":252938,"corporation":false,"usgs":false,"family":"Murr","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":50476,"text":"Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming","active":true,"usgs":false}],"preferred":false,"id":811170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230045,"text":"70230045 - 2020 - Migratory divides coincide with reproductive barriers across replicated avian hybrid zones above the Tibetan Plateau","interactions":[],"lastModifiedDate":"2022-03-28T14:26:53.594481","indexId":"70230045","displayToPublicDate":"2019-11-19T09:23:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Migratory divides coincide with reproductive barriers across replicated avian hybrid zones above the Tibetan Plateau","docAbstract":"<p><span>Migratory divides are proposed to be catalysts for speciation across a diversity of taxa. However, it is difficult to test the relative contributions of migratory behaviour vs. other divergent traits to reproductive isolation. Comparing hybrid zones with and without migratory divides offers a rare opportunity to directly examine the contribution of divergent migratory behaviour to reproductive barriers. We show that across replicate sampling transects of two pairs of barn swallow (</span><i>Hirundo rustica</i><span>) subspecies, strong reproductive isolation coincided with a migratory divide spanning 20 degrees of latitude. A third subspecies pair exhibited no evidence for a migratory divide and hybridised extensively. Within migratory divides, overwintering habitats were associated with assortative mating, implicating a central contribution of divergent migratory behaviour to reproductive barriers. The remarkable geographic coincidence between migratory divides and genetic breaks supports a long-standing hypothesis that the Tibetan Plateau is a substantial barrier contributing to the diversity of Siberian avifauna.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.13420","usgsCitation":"Scordato, E., Smith, C.A., Semenov, G.A., Yu, L., Wilkins, M.R., Liang, W., Rubtsov, A., Sundev, G., Koyama, K., Turbek, S.P., Wunder, M., Stricker, C.A., and Safran, R., 2020, Migratory divides coincide with reproductive barriers across replicated avian hybrid zones above the Tibetan Plateau: Ecology Letters, v. 23, no. 2, p. 231-241, https://doi.org/10.1111/ele.13420.","productDescription":"11 p.","startPage":"231","endPage":"241","ipdsId":"IP-101774","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.13420","text":"Publisher Index Page"},{"id":437203,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C2TH2K","text":"USGS data release","linkHelpText":"Stable carbon and nitrogen isotope data for Siberian barn swallow subspecies collected during the breeding season"},{"id":397703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia, Russia","otherGeospatial":"Tibetan Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              89.6484375,\n              18.312810846425442\n            ],\n            [\n              140.2734375,\n              18.312810846425442\n            ],\n            [\n              140.2734375,\n              63.54855223203644\n            ],\n            [\n              89.6484375,\n              63.54855223203644\n            ],\n            [\n              89.6484375,\n              18.312810846425442\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Scordato, Elizabeth","contributorId":289286,"corporation":false,"usgs":false,"family":"Scordato","given":"Elizabeth","email":"","affiliations":[{"id":62096,"text":"California Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":838878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christian A.","contributorId":200768,"corporation":false,"usgs":false,"family":"Smith","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":838879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Semenov, Georgy A.","contributorId":289287,"corporation":false,"usgs":false,"family":"Semenov","given":"Georgy","email":"","middleInitial":"A.","affiliations":[{"id":62097,"text":"The University of Colorado","active":true,"usgs":false}],"preferred":false,"id":838880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yu, Liu","contributorId":289288,"corporation":false,"usgs":false,"family":"Yu","given":"Liu","email":"","affiliations":[{"id":16866,"text":"Beijing Normal University","active":true,"usgs":false}],"preferred":false,"id":838881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilkins, Matthew R.","contributorId":289289,"corporation":false,"usgs":false,"family":"Wilkins","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":62097,"text":"The University of Colorado","active":true,"usgs":false}],"preferred":false,"id":838882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, Wei","contributorId":289290,"corporation":false,"usgs":false,"family":"Liang","given":"Wei","email":"","affiliations":[{"id":62098,"text":"Hainan Normal University","active":true,"usgs":false}],"preferred":false,"id":838883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rubtsov, Alexander","contributorId":289291,"corporation":false,"usgs":false,"family":"Rubtsov","given":"Alexander","email":"","affiliations":[{"id":62099,"text":"State Darwin Museum","active":true,"usgs":false}],"preferred":false,"id":838884,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sundev, Gombobaataar","contributorId":289292,"corporation":false,"usgs":false,"family":"Sundev","given":"Gombobaataar","email":"","affiliations":[{"id":28215,"text":"National University of Mongolia","active":true,"usgs":false}],"preferred":false,"id":838885,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Koyama, Kazuo","contributorId":289293,"corporation":false,"usgs":false,"family":"Koyama","given":"Kazuo","email":"","affiliations":[{"id":62100,"text":"Japan Bird Research Association","active":true,"usgs":false}],"preferred":false,"id":838886,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Turbek, Sheela P.","contributorId":289294,"corporation":false,"usgs":false,"family":"Turbek","given":"Sheela","email":"","middleInitial":"P.","affiliations":[{"id":62097,"text":"The University of Colorado","active":true,"usgs":false}],"preferred":false,"id":838887,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wunder, Michael B.","contributorId":80599,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael B.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":838888,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":838889,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Safran, Rebecca","contributorId":289295,"corporation":false,"usgs":false,"family":"Safran","given":"Rebecca","email":"","affiliations":[{"id":62097,"text":"The University of Colorado","active":true,"usgs":false}],"preferred":false,"id":838890,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70211921,"text":"70211921 - 2020 - Gaps and hotspots in the state of knowledge of pinyon-juniper communities","interactions":[],"lastModifiedDate":"2020-08-11T20:24:40.554658","indexId":"70211921","displayToPublicDate":"2019-11-18T15:15:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Gaps and hotspots in the state of knowledge of pinyon-juniper communities","docAbstract":"<p><span>Pinyon-juniper (PJ) plant communities cover a large area across North America and provide critical habitat for wildlife, biodiversity and ecosystem functions, and rich cultural resources. These communities occur across a variety of environmental gradients, disturbance regimes, structural conditions and species compositions, including three species of juniper and two species of pinyon. PJ communities have experienced substantial changes in recent decades and identifying appropriate management strategies for these diverse communities is a growing challenge. Here, we surveyed the literature and compiled 441 studies to characterize patterns in research on PJ communities through time, across geographic space and climatic conditions, and among focal species. We evaluate the state of knowledge for three focal topics: 1) historical stand dynamics and responses to disturbance, 2) land management actions and their effects, and 3) potential future responses to changing climate. We identified large and potentially important gaps in our understanding of pinyon-juniper communities both geographically and topically. The effect of drought on&nbsp;</span><i>Pinus edulis,</i><span>&nbsp;the pinyon pine species in eastern PJ communities was frequently addressed, while few studies focused on drought effects on&nbsp;</span><i>Pinus monophylla</i><span>, which occurs in western PJ communities. The largest proportion of studies that examined land management actions only measured their effects for one year. Grazing was a common land-use across the geographic range of PJ communities yet was rarely studied. We found only 39 studies that had information on the impacts of anthropogenic climate change and most were concentrated on&nbsp;</span><i>Pinus edulis</i><span>. These results provide a synthetic perspective on PJ communities that can help natural resource managers identify relevant knowledge needed for decision-making and researchers design new studies to fill important knowledge gaps.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.117628","usgsCitation":"Hartsell, J.A., Copeland, S., Munson, S.M., Butterfield, B.J., and Bradford, J., 2020, Gaps and hotspots in the state of knowledge of pinyon-juniper communities: Forest Ecology and Management, v. 455, 117628, 23 p., https://doi.org/10.1016/j.foreco.2019.117628.","productDescription":"117628, 23 p.","ipdsId":"IP-108384","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458505,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.117628","text":"Publisher Index Page"},{"id":437204,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LWZN72","text":"USGS data release","linkHelpText":"Pinyon and Juniper location data, including a literature review citation list of Pinyon-Juniper systems from 1909 to 2018"},{"id":377388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.47998046875,\n              32.491230287947594\n            ],\n            [\n              -103.90869140625,\n              36.79169061907076\n            ],\n            [\n              -104.5458984375,\n              40.329795743702064\n            ],\n            [\n              -110.8740234375,\n              40.697299008636755\n            ],\n            [\n              -111.86279296875,\n              41.60722821271717\n            ],\n            [\n              -116.05957031249999,\n              41.45919537950706\n            ],\n            [\n              -119.81689453125,\n              37.59682400108367\n            ],\n            [\n              -117.35595703124999,\n              34.939985151560435\n            ],\n            [\n              -112.4560546875,\n              32.43561304116276\n            ],\n            [\n              -109.2041015625,\n              31.466153715024294\n            ],\n            [\n              -108.2373046875,\n              31.372399104880525\n            ],\n            [\n              -108.17138671875,\n              31.784216884487385\n            ],\n            [\n              -104.19433593749999,\n              31.952162238024975\n            ],\n            [\n              -104.47998046875,\n              32.491230287947594\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"455","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartsell, Jessica A. 0000-0003-1414-8797","orcid":"https://orcid.org/0000-0003-1414-8797","contributorId":238016,"corporation":false,"usgs":true,"family":"Hartsell","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Copeland, Stella M.","contributorId":196218,"corporation":false,"usgs":false,"family":"Copeland","given":"Stella M.","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":795820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":795821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":795822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224282,"text":"70224282 - 2020 - Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient","interactions":[],"lastModifiedDate":"2021-09-20T13:07:02.021749","indexId":"70224282","displayToPublicDate":"2019-10-31T08:04:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient","docAbstract":"<ol class=\"\"><li>Comparative studies, across and within taxa, have made important contributions to our understanding of the evolutionary processes that promote phenotypic diversity. Trait variation along geographic gradients provides a convenient heuristic for understanding what drives and maintains diversity. Intraspecific trait variation along latitudinal gradients is well-known, but elevational variation in the same traits is rarely documented. Trait variation along continuous elevational gradients, however, provides compelling evidence that individuals within a breeding population may experience different selective pressures.</li><li>Our objectives were to quantify variation in a suite of traits along a continuous elevational gradient, evaluate whether individuals in the population experience different selective pressures along that gradient and quantify variation in migratory tendency along that gradient.</li><li>We examined variation in a suite of 14 life-history, morphological and behavioural traits, including migratory tendency, of yellow-eyed juncos along a continuous 1000-m elevational gradient in the Santa Catalina Mountains of Arizona.</li><li>Many traits we examined varied along the elevational gradient. Nest survival and nestling growth rates increased, while breeding season length, renesting propensity and adult survival declined, with increasing elevation. We documented the migratory phenotype of juncos (partial altitudinal migrants) and show that individual migratory tendency is higher among females than males and increases with breeding elevation.</li><li>Our data support the paradigm that variation in breeding season length is a major selective pressure driving life-history variation along elevational gradients and that individuals breeding at high elevation pursue strategies that favour offspring quality over offspring quantity. Furthermore, a negative association between adult survival and breeding elevation and a positive association between nest survival and breeding elevation help explain both the downslope and reciprocal upslope seasonal migratory movements that characterize altitudinal migration in many birds. Our results demonstrate how detailed studies of intraspecific variation in suites of traits along environmental gradients can lend new insights into the evolutionary processes that promote diversification and speciation, the causes of migratory behaviour, and how animal populations will likely respond to climate change.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13134","usgsCitation":"Lundblad, C., and Conway, C.J., 2020, Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient: Journal of Animal Ecology, v. 89, no. 2, p. 397-411, https://doi.org/10.1111/1365-2656.13134.","productDescription":"15 p.","startPage":"397","endPage":"411","ipdsId":"IP-105625","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13134","text":"Publisher Index Page"},{"id":389478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":265812,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":823446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":823447,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227992,"text":"70227992 - 2020 - Reduced species richness of native bees in field margins associated with neonicotinoid concentrations in non-target soils","interactions":[],"lastModifiedDate":"2022-02-03T17:08:57.296533","indexId":"70227992","displayToPublicDate":"2019-10-29T10:43:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Reduced species richness of native bees in field margins associated with neonicotinoid concentrations in non-target soils","docAbstract":"<p><span>Native bees are in decline as many species are sensitive to habitat loss, climate change, and non-target exposure to synthetic pesticides. Recent laboratory and semi-field assessments of pesticide impacts on bees have focused on neonicotinoid insecticides. However, field studies evaluating influences of neonicotinoid seed treatments on native bee communities of North America are absent from the literature. On four Conservation Areas of Missouri, we sampled row-cropped (treated,&nbsp;</span><i>n</i><span> = 15) and reference (untreated,&nbsp;</span><i>n</i><span> = 9) agricultural fields, and their surrounding field margins for neonicotinoids in soil and non-target vegetation (i.e., native wildflowers). Wildflowers were further collected and screened for the presence of fungicides. Concurrently, we sampled native bees over three discrete time points throughout the agricultural growing season to assess potential impacts of seed treatment use on local bee populations over time. Neonicotinoids were detected in 87% to 100% of treated field soils and 22% to 56% of reference field soils. In adjacent field margin soils, quantifiable concentrations were measured near treated (53% to 93% detection) and untreated fields (33% to 56% detection). Fungicides were detected in &lt; 40% of wildflowers, whereas neonicotinoids were rarely detected in field margin vegetation (&lt; 7%). Neonicotinoid concentrations in margin soils were negatively associated with native bee richness (</span><i>β</i><span>&nbsp;= −0.21,&nbsp;</span><i>P</i><span> &lt; 0.05). Field margins with a combination of greater neonicotinoid concentrations in soil and fungicides in wildflowers also contained fewer wild bee species (</span><i>β</i><span>&nbsp;= −0.21,&nbsp;</span><i>P</i><span> &lt;  0.001). By comparison, bee abundance was positively influenced by the number of wildflower species in bloom with no apparent impact of pesticides. Results of this study indicate that neonicotinoids in soil are a potential route of exposure for pollinator communities, specifically ground-nesting species. Importantly, native bee richness in non-target field margins may be negatively affected by the use of neonicotinoid seed treatments in agroecosystems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2019.106693","usgsCitation":"Main, A., Webb, E.B., Goyne, K., and Mengel, D., 2020, Reduced species richness of native bees in field margins associated with neonicotinoid concentrations in non-target soils: Agriculture, Ecosystems and Environment, v. 287, 106693, 10 p., https://doi.org/10.1016/j.agee.2019.106693.","productDescription":"106693, 10 p.","ipdsId":"IP-099433","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/98743","text":"Publisher Index Page"},{"id":395368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","volume":"287","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Main, A.R.","contributorId":244517,"corporation":false,"usgs":false,"family":"Main","given":"A.R.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":832859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goyne, K. W.","contributorId":273205,"corporation":false,"usgs":false,"family":"Goyne","given":"K. W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":832861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mengel, D.","contributorId":244519,"corporation":false,"usgs":false,"family":"Mengel","given":"D.","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":832862,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209105,"text":"70209105 - 2020 - Apatite trace element geochemistry and cathodoluminescent textures—Acomparison between regional magmatism and the Pea Ridge IOA-REE andBoss IOCG deposits, southeastern Missouri iron metallogenic province, USA","interactions":[],"lastModifiedDate":"2020-03-16T16:43:43","indexId":"70209105","displayToPublicDate":"2019-09-17T16:37:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Apatite trace element geochemistry and cathodoluminescent textures—Acomparison between regional magmatism and the Pea Ridge IOA-REE andBoss IOCG deposits, southeastern Missouri iron metallogenic province, USA","docAbstract":"The southeast Missouri iron metallogenic province contains a remarkable wealth of historically important Fe, Cu, Au, and rare earth element (REE) deposits including the Pea Ridge iron oxide-apatite-rare earth element (IOA-REE) deposit and the Boss iron oxide-copper-gold (IOCG) deposit. These deposits are coeval with silicic and intermediate composition magmatism in the St. Francois Mountains terrane. Magmatism, iron-oxide (±Cu, Au, Co) and apatite formation, and REE mineralization overlapped in space and time, but the specific role of regional magmatism in the metallogenesis of these deposits remains unclear and basic petrogenetic models are still debated. \nWe report results from high-spatial resolution textural and geochemical analyses of apatite from regional igneous and ore rocks to elucidate their petrogenetic histories and evaluate deposit models. Backscattered electron and spectral cathodoluminescence imaging of apatite reveal no primary igneous zoning, but show different domains with intricate rims and dissolution/reprecipitation textures, each with distinctive REE patterns in many samples. Apatite from all samples are nearly endmember fluorapatite containing up to ~1.3 wt% Cl and F/Cl ratios span nearly three orders of magnitude. Fresh igneous fluorapatite contain low Na2O (0.15 wt%) while most Pea Ridge ore samples contain higher Na2O (up to ~0.45 wt%), and concentrations of sulfur in fluorapatite of all types are generally moderate to low (0.3 wt% SO3). Significant amounts of Fe (60,000 ppm), Mg (30,000 ppm), Mn (7,000 ppm), and Sr (12,000 ppm) are contained in fluorapatite of all sample types, and they also have moderate amounts of As (4,000 ppm), Ba (2,000 ppm), Th (400 ppm), and U (80 ppm). Fluorapatite show an extraordinarily large range of  REE (~0.1-2.0 wt%) and Y (~100-7000 ppm) concentrations. While fresh igneous fluorapatite share many geochemical features with metasomatized igneous fluorapatite and ore-stage fluorapatite from the Pea Ridge IOA and Boss IOCG ore zones, they also have distinct geochemical signatures that are indicative of unique trace element partitioning and substitution mechanisms. These distinguishing textural and geochemical signatures preclude ore-zone fluorapatite genesis directly from a magma (i.e., crystallization directly from a silicate melt) but are permissive of ore-zone fluorapatite formation by magmatic-hydrothermal fluids derived from the regional magmas. Basinal brines may play an important role in the formation of fluorapatite, especially from the Pea Ridge hematite and Boss magnetite-rich zones. Fluorapatite from different ore zones likely formed by crystallization during pulses of hydrothermal fluids with varying Cl-, Na-, and F-contents, which fundamentally controlled the carrying capacity and solubility of REE+Y and generated geochemically distinctive generations of fluorapatite.  \nExploration geologists using fluorapatite trace element geochemistry to identify IOA and IOCG deposits should proceed with caution, as more high-quality data from these deposits are needed to improve multivariate discrimination analysis. Fluorapatite from IOA/IOCG deposits can be reasonably discriminated from that of other mineral deposit types (e.g., porphyry/epithermal, skarn, orogenic), but no criteria successfully discriminate yet between IOA and IOCG deposits.","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2019.103129","usgsCitation":"Mercer, C.N., Watts, K., and Gross, J., 2020, Apatite trace element geochemistry and cathodoluminescent textures—Acomparison between regional magmatism and the Pea Ridge IOA-REE andBoss IOCG deposits, southeastern Missouri iron metallogenic province, USA: Ore Geology Reviews, v. 116, 103129, 22 p., https://doi.org/10.1016/j.oregeorev.2019.103129.","productDescription":"103129, 22 p.","ipdsId":"IP-102053","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458647,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2019.103129","text":"Publisher Index Page"},{"id":437217,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YIHMO8","text":"USGS data release","linkHelpText":"Geochemical data supporting a comparison of apatite between regional magmatism and the Pea Ridge Iron Oxide-Apatite-Rare Earth Element (IOA-REE) and Boss Iron Oxide-Copper-Cobalt-Gold-REE Deposits (IOCG) deposits, southeastern Missouri, USA"},{"id":373299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"St. Francois Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.944580078125,\n              36.62434536776987\n            ],\n            [\n              -90.120849609375,\n              36.62434536776987\n            ],\n            [\n              -90.120849609375,\n              38.363195134453846\n            ],\n            [\n              -91.944580078125,\n              38.363195134453846\n            ],\n            [\n              -91.944580078125,\n              36.62434536776987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":784951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Juliane 0000-0002-5288-0981","orcid":"https://orcid.org/0000-0002-5288-0981","contributorId":223401,"corporation":false,"usgs":false,"family":"Gross","given":"Juliane","email":"","affiliations":[{"id":40711,"text":"Rutgers State University of New Jersey","active":true,"usgs":false}],"preferred":false,"id":784953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208113,"text":"70208113 - 2020 - Infection at an ecotone: Cross‐system foraging increases satellite parasites but decreases core parasites in raccoons","interactions":[],"lastModifiedDate":"2020-01-27T19:18:17","indexId":"70208113","displayToPublicDate":"2019-07-01T19:16:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Infection at an ecotone: Cross‐system foraging increases satellite parasites but decreases core parasites in raccoons","docAbstract":"Ecotones can increase free-living species richness, but little is known about how parasites respond to ecotones. Here we use parasite communities in raccoons (Procyon lotor) to test the hypothesis that parasite communities can be divided into core and satellite species, each with fundamentally different responses to ecotones. We used published parasite surveys to classify parasites as common core or rare satellite species and then surveyed raccoons in coastal California to examine how proximity to two aquatic ecotones altered parasite communities. Raccoons near ecotones had more satellite and fewer core parasite species. Specifically, the marine ecotone increased parasite diversity by adding satellite species to a persistent core community, whereas the freshwater ecotone shifted the community from core to satellite species without a net change in parasite richness. We hypothesize that increased parasite richness at the marine ecotone resulted from increased diet diversity, but that raccoons were sinks for some parasites. Increased exposure to rare parasites at ecotones has implications for wildlife health and provides insight into observed associations between ecotones and emerging disease.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2808","usgsCitation":"Weinstein, S.B., Van Wert, J.C., Kinsella, M., Tkach, V.V., and Lafferty, K.D., 2020, Infection at an ecotone: Cross‐system foraging increases satellite parasites but decreases core parasites in raccoons: Ecology, no. 100, e02808, https://doi.org/10.1002/ecy.2808.","productDescription":"e02808","ipdsId":"IP-106751","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2808","text":"Publisher Index Page"},{"id":371614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.0244140625,\n              42.114523952464246\n            ],\n            [\n              -125.1123046875,\n              40.66397287638688\n            ],\n            [\n              -124.60693359374999,\n              39.30029918615029\n            ],\n            [\n              -123.26660156249999,\n              37.17782559332976\n            ],\n            [\n              -121.46484375,\n              34.57895241036948\n            ],\n            [\n              -119.53125,\n              32.82421110161336\n            ],\n            [\n              -117.42187500000001,\n              32.54681317351514\n            ],\n            [\n              -116.45507812500001,\n              32.89803818160521\n            ],\n            [\n              -118.5205078125,\n              34.08906131584994\n            ],\n            [\n              -120.43212890625,\n              35.65729624809628\n            ],\n            [\n              -121.86035156249999,\n              38.37611542403604\n            ],\n            [\n              -123.4423828125,\n              40.48038142908172\n            ],\n            [\n              -123.26660156249999,\n              42.01665183556825\n            ],\n            [\n              -125.0244140625,\n              42.114523952464246\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"100","edition":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Weinstein, Sara B.","contributorId":141028,"corporation":false,"usgs":false,"family":"Weinstein","given":"Sara","email":"","middleInitial":"B.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":780526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wert, Jacey C.","contributorId":221858,"corporation":false,"usgs":false,"family":"Van Wert","given":"Jacey","email":"","middleInitial":"C.","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":780527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinsella, Mike","contributorId":221859,"corporation":false,"usgs":false,"family":"Kinsella","given":"Mike","email":"","affiliations":[{"id":40444,"text":"Helm West Laboratory, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":780528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tkach, Vasyl V.","contributorId":190351,"corporation":false,"usgs":false,"family":"Tkach","given":"Vasyl","email":"","middleInitial":"V.","affiliations":[{"id":52695,"text":"Department of Biology, University of North Dakota, Grand Forks, ND 58201, USA","active":true,"usgs":false}],"preferred":false,"id":780529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780525,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215774,"text":"70215774 - 2020 - Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making the case for coupled surveys","interactions":[],"lastModifiedDate":"2020-10-29T22:26:27.029883","indexId":"70215774","displayToPublicDate":"2018-12-04T17:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making the case for coupled surveys","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0080\">Abundance estimates facilitate successful fisheries management. Fisheries agencies often monitor abundance through fishery independent standardized protocols generating relative measures such as catch-per-unit-effort (CPUE), where CPUE is assumed proportional to true abundance. Unfortunately, this assumption is rarely met as fish behavior and environmental conditions influence catchability and sample gear efficiency. We used paired gillnet and hydroacoustic samples and a catchability equation (<span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>U</mi><mi is=&quot;true&quot;>i</mi></msub><mtext is=&quot;true&quot;></mtext><mo is=&quot;true&quot;>=</mo><mtext is=&quot;true&quot;></mtext><mi is=&quot;true&quot;>q</mi><msubsup is=&quot;true&quot;><mi is=&quot;true&quot;>N</mi><mi is=&quot;true&quot;>i</mi><mi is=&quot;true&quot;>&amp;#x3B2;</mi></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U<sub>i</sub>=qN<sub>i</sub><sup>β</sup></span></span></span>) to assess the correspondence between gillnet CPUE (<span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>U</mi><mi is=&quot;true&quot;>i</mi></msub></math>\"><span class=\"MJX_Assistive_MathML\">U<sub>i</sub></span></span></span>) and hydroacoustic abundance estimates (<span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>N</mi><mi is=&quot;true&quot;>i</mi></msub></math>\"><span class=\"MJX_Assistive_MathML\">N<sub>i</sub></span></span></span>). We found that gill nets were hyperstable (i.e., β &lt; 1) and efficiency declined along environmental gradients. These gradients, such as increased depths, and decreased turbidity and water temperatures, likely influenced fish behavior, and encounter and gear saturation rates. As a result, catchability declined with increasing abundance qacross survey regions. Finally, simulations showed that catchability gradients and variable migratory patterns can contribute to annual variation in CPUE indices regardless of changes in abundance. Surveys plagued by varying catchability could benefit from coupling with hydroacoustics, a sample gear less subject to gear efficiency and catchability issues.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2018.11.009","usgsCitation":"DuFour, M.R., Qian, S.S., Mayer, C.M., and Vandergoot, C., 2020, Evaluating catchability in a large-scale gillnet survey using hydroacoustics: Making the case for coupled surveys: Fisheries Research, v. 211, p. 309-318, https://doi.org/10.1016/j.fishres.2018.11.009.","productDescription":"10 p.","startPage":"309","endPage":"318","ipdsId":"IP-090481","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2018.11.009","text":"Publisher Index Page"},{"id":379945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.1395263671875,\n              41.81636125072054\n            ],\n            [\n              -81.727294921875,\n              42.30575300304638\n            ],\n            [\n              -82.2052001953125,\n              42.15525946577863\n            ],\n            [\n              -82.46337890625,\n              41.87774145109676\n            ],\n            [\n              -82.672119140625,\n              41.96357478222518\n            ],\n            [\n              -83.18298339843749,\n              41.95949009892467\n            ],\n            [\n              -83.3807373046875,\n              41.80407814427234\n            ],\n            [\n              -82.9302978515625,\n              41.56203190200195\n            ],\n            [\n              -82.8094482421875,\n              41.623655390686395\n            ],\n            [\n              -82.6226806640625,\n              41.50446357504803\n            ],\n            [\n              -82.50732421875,\n              41.393294288784865\n            ],\n            [\n              -82.3370361328125,\n              41.45919537950706\n            ],\n            [\n              -82.0513916015625,\n              41.53736603550382\n            ],\n            [\n              -81.9085693359375,\n              41.51269075845857\n            ],\n            [\n              -81.6888427734375,\n              41.55381099217959\n            ],\n            [\n              -81.2713623046875,\n              41.80817277478235\n            ],\n            [\n              -81.1395263671875,\n              41.81636125072054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"211","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DuFour, Mark R.","contributorId":203270,"corporation":false,"usgs":false,"family":"DuFour","given":"Mark","email":"","middleInitial":"R.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":803379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":803380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M","contributorId":195893,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":803381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":803382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202572,"text":"ofr20191023A - 2019 - Focus areas for data acquisition for potential domestic sources of critical minerals—Rare earth elements","interactions":[],"lastModifiedDate":"2026-03-25T16:52:23.790127","indexId":"ofr20191023A","displayToPublicDate":"2022-07-14T10:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1023","chapter":"A","displayTitle":"Focus Areas for Data Acquisition for Potential Domestic Sources of Critical Minerals—Rare Earth Elements","title":"Focus areas for data acquisition for potential domestic sources of critical minerals—Rare earth elements","docAbstract":"<p>Rare earth elements (REEs) are critical mineral commodities for the United States. In response to a need for information on potential domestic sources of REEs in mineral deposits, the U.S. Geological Survey (USGS) identified broad focus areas throughout the conterminous United States and Alaska as a guide for selecting new geoscience research areas. This study was done to support the USGS Earth Mapping Resources Initiative (Earth MRI).</p><p>Focus areas are identified in four regions of the United States (Alaska, West, Central, and East) by mineral deposit type. The areas are described in a companion USGS data release that consists of a map in a geographic information system and accompanying tables that document the rationale for each focus area (C.L. Dicken and others, 2019, <a href=\"https://doi.org/10.5066/P95CHIL0\" data-mce-href=\"https://doi.org/10.5066/P95CHIL0\">https://doi.org/10.5066/P95CHIL0</a>). This open-file report describes the methodology that was used to identify focus areas and determine new data acquisition needs. Deposit types that are likely to be of interest for future exploration and development of domestic nonfuel REE resources include deposits associated with carbonatites and peralkaline rocks, iron oxide-apatite deposits, monazite-bearing placers, and REE-enriched phosphorites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191023A","usgsCitation":"Hammarstrom, J.H., and Dicken, C.L., 2019, Focus areas for data acquisition for potential domestic sources of critical minerals—Rare earth elements (ver. 1.1, July 2022), chap. A <em>of</em> U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 11 p, https://doi.org/10.3133/ofr20191023A.","productDescription":"Report: vi, 11 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-104700","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":501521,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108444.htm","linkFileType":{"id":5,"text":"html"}},{"id":403730,"rank":9,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023E","text":"Open-File Report 2019-1023-E","linkHelpText":"- Alaska Focus Area Definition for Data Acquisition for Potential Domestic Sources of Critical Minerals in Alaska for Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Magnesium, Manganese, Uranium, Vanadium, and Zirconium"},{"id":403727,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023B","text":"Open-File Report 2019-1023-B","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in the Conterminous United States, Hawaii, and Puerto Rico—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum-Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten"},{"id":403468,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2019/1023/a/versionHist.txt","size":"2.97 KB","linkFileType":{"id":2,"text":"txt"}},{"id":361988,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95CHIL0","text":"USGS data release","description":"USGS data release"},{"id":361987,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20193007","text":"Fact Sheet 2019–3007","linkHelpText":"- The Earth Mapping Resources Initiative (Earth MRI): Mapping the Nation’s Critical Mineral Resources"},{"id":361986,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1023/a/ofr20191023a.pdf","text":"Report","size":"1.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1023"},{"id":420419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1023/a/coverthb2.jpg"},{"id":403729,"rank":8,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023D","text":"Open-File Report 2019-1023-D","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 13 Critical Minerals in the Conterminous United States and Puerto Rico—Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Helium, Magnesium, Manganese, Potash, Uranium, Vanadium, and Zirconium"},{"id":403728,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023C","text":"Open-File Report 2019-1023-C","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in Alaska—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-66.28243,18.51476],[-65.7713,18.42668],[-65.591,18.22803],[-65.84716,17.97591],[-66.59993,17.98182],[-67.18416,17.94655],[-67.24243,18.37446],[-67.10068,18.5206],[-66.28243,18.51476]]],[[[-155.54211,19.08348],[-155.68817,18.91619],[-155.93665,19.05939],[-155.90806,19.33888],[-156.07347,19.70294],[-156.02368,19.81422],[-155.85008,19.97729],[-155.91907,20.17395],[-155.86108,20.26721],[-155.78505,20.2487],[-155.40214,20.07975],[-155.22452,19.99302],[-155.06226,19.8591],[-154.80741,19.50871],[-154.83147,19.45328],[-155.22217,19.23972],[-155.54211,19.08348]]],[[[-156.07926,20.64397],[-156.41445,20.57241],[-156.58673,20.783],[-156.70167,20.8643],[-156.71055,20.92676],[-156.61258,21.01249],[-156.25711,20.91745],[-155.99566,20.76404],[-156.07926,20.64397]]],[[[-156.75824,21.17684],[-156.78933,21.06873],[-157.32521,21.09777],[-157.25027,21.21958],[-156.75824,21.17684]]],[[[-157.65283,21.32217],[-157.70703,21.26442],[-157.7786,21.27729],[-158.12667,21.31244],[-158.2538,21.53919],[-158.29265,21.57912],[-158.0252,21.71696],[-157.94161,21.65272],[-157.65283,21.32217]]],[[[-159.34512,21.982],[-159.46372,21.88299],[-159.80051,22.06533],[-159.74877,22.1382],[-159.5962,22.23618],[-159.36569,22.21494],[-159.34512,21.982]]],[[[-94.81758,49.38905],[-94.64,48.84],[-94.32914,48.67074],[-93.63087,48.60926],[-92.61,48.45],[-91.64,48.14],[-90.83,48.27],[-89.6,48.01],[-89.27292,48.01981],[-88.37811,48.30292],[-87.43979,47.94],[-86.46199,47.55334],[-85.65236,47.22022],[-84.87608,46.90008],[-84.77924,46.6371],[-84.54375,46.53868],[-84.6049,46.4396],[-84.3367,46.40877],[-84.14212,46.51223],[-84.09185,46.27542],[-83.89077,46.11693],[-83.61613,46.11693],[-83.46955,45.99469],[-83.59285,45.81689],[-82.55092,45.34752],[-82.33776,44.44],[-82.13764,43.57109],[-82.43,42.98],[-82.9,42.43],[-83.12,42.08],[-83.142,41.97568],[-83.02981,41.8328],[-82.69009,41.67511],[-82.43928,41.67511],[-81.27775,42.20903],[-80.24745,42.3662],[-78.93936,42.86361],[-78.92,42.965],[-79.01,43.27],[-79.17167,43.46634],[-78.72028,43.62509],[-77.73789,43.62906],[-76.82003,43.62878],[-76.5,44.01846],[-76.375,44.09631],[-75.31821,44.81645],[-74.867,45.00048],[-73.34783,45.00738],[-71.50506,45.0082],[-71.405,45.255],[-71.08482,45.30524],[-70.66,45.46],[-70.305,45.915],[-69.99997,46.69307],[-69.23722,47.44778],[-68.905,47.185],[-68.23444,47.35486],[-67.79046,47.06636],[-67.79134,45.70281],[-67.13741,45.13753],[-66.96466,44.8097],[-68.03252,44.3252],[-69.06,43.98],[-70.11617,43.68405],[-70.64548,43.09024],[-70.81489,42.8653],[-70.825,42.335],[-70.495,41.805],[-70.08,41.78],[-70.185,42.145],[-69.88497,41.92283],[-69.96503,41.63717],[-70.64,41.475],[-71.12039,41.49445],[-71.86,41.32],[-72.295,41.27],[-72.87643,41.22065],[-73.71,40.9311],[-72.24126,41.11948],[-71.945,40.93],[-73.345,40.63],[-73.982,40.628],[-73.95232,40.75075],[-74.25671,40.47351],[-73.96244,40.42763],[-74.17838,39.70926],[-74.90604,38.93954],[-74.98041,39.1964],[-75.20002,39.24845],[-75.52805,39.4985],[-75.32,38.96],[-75.07183,38.78203],[-75.05673,38.40412],[-75.37747,38.01551],[-75.94023,37.21689],[-76.03127,37.2566],[-75.72205,37.93705],[-76.23287,38.31921],[-76.35,39.15],[-76.54272,38.71762],[-76.32933,38.08326],[-76.99,38.23999],[-76.30162,37.91794],[-76.25874,36.9664],[-75.9718,36.89726],[-75.86804,36.55125],[-75.72749,35.55074],[-76.36318,34.80854],[-77.39763,34.51201],[-78.05496,33.92547],[-78.55435,33.86133],[-79.06067,33.49395],[-79.20357,33.15839],[-80.30132,32.50935],[-80.86498,32.0333],[-81.33629,31.44049],[-81.49042,30.72999],[-81.31371,30.03552],[-80.98,29.18],[-80.53558,28.47213],[-80.53,28.04],[-80.05654,26.88],[-80.08801,26.20576],[-80.13156,25.81677],[-80.38103,25.20616],[-80.68,25.08],[-81.17213,25.20126],[-81.33,25.64],[-81.71,25.87],[-82.24,26.73],[-82.70515,27.49504],[-82.85526,27.88624],[-82.65,28.55],[-82.93,29.1],[-83.70959,29.93656],[-84.1,30.09],[-85.10882,29.63615],[-85.28784,29.68612],[-85.7731,30.15261],[-86.4,30.4],[-87.53036,30.27433],[-88.41782,30.3849],[-89.18049,30.31598],[-89.59383,30.15999],[-89.41373,29.89419],[-89.43,29.48864],[-89.21767,29.29108],[-89.40823,29.15961],[-89.77928,29.30714],[-90.15463,29.11743],[-90.88022,29.14854],[-91.62678,29.677],[-92.49906,29.5523],[-93.22637,29.78375],[-93.84842,29.71363],[-94.69,29.48],[-95.60026,28.73863],[-96.59404,28.30748],[-97.14,27.83],[-97.37,27.38],[-97.38,26.69],[-97.33,26.21],[-97.14,25.87],[-97.53,25.84],[-98.24,26.06],[-99.02,26.37],[-99.3,26.84],[-99.52,27.54],[-100.11,28.11],[-100.45584,28.69612],[-100.9576,29.38071],[-101.6624,29.7793],[-102.48,29.76],[-103.11,28.97],[-103.94,29.27],[-104.45697,29.57196],[-104.70575,30.12173],[-105.03737,30.64402],[-105.63159,31.08383],[-106.1429,31.39995],[-106.50759,31.75452],[-108.24,31.75485],[-108.24194,31.34222],[-109.035,31.34194],[-111.02361,31.33472],[-113.30498,32.03914],[-114.815,32.52528],[-114.72139,32.72083],[-115.99135,32.61239],[-117.12776,32.53534],[-117.29594,33.04622],[-117.944,33.62124],[-118.4106,33.74091],[-118.51989,34.02778],[-119.081,34.078],[-119.43884,34.34848],[-120.36778,34.44711],[-120.62286,34.60855],[-120.74433,35.15686],[-121.71457,36.16153],[-122.54747,37.55176],[-122.51201,37.78339],[-122.95319,38.11371],[-123.7272,38.95166],[-123.86517,39.76699],[-124.39807,40.3132],[-124.17886,41.14202],[-124.2137,41.99964],[-124.53284,42.76599],[-124.14214,43.70838],[-124.02053,44.6159],[-123.89893,45.52341],[-124.07963,46.86475],[-124.39567,47.72017],[-124.68721,48.18443],[-124.5661,48.37971],[-123.12,48.04],[-122.58736,47.096],[-122.34,47.36],[-122.5,48.18],[-122.84,49],[-120,49],[-117.03121,49],[-116.04818,49],[-113,49],[-110.05,49],[-107.05,49],[-104.04826,48.99986],[-100.65,49],[-97.22872,49.0007],[-95.15907,49],[-95.15609,49.38425],[-94.81758,49.38905]]],[[[-153.00631,57.11584],[-154.00509,56.73468],[-154.5164,56.99275],[-154.67099,57.4612],[-153.76278,57.81657],[-153.22873,57.96897],[-152.56479,57.90143],[-152.14115,57.59106],[-153.00631,57.11584]]],[[[-165.57916,59.90999],[-166.19277,59.75444],[-166.84834,59.94141],[-167.45528,60.21307],[-166.46779,60.38417],[-165.67443,60.29361],[-165.57916,59.90999]]],[[[-171.73166,63.78252],[-171.11443,63.59219],[-170.49111,63.69498],[-169.68251,63.43112],[-168.68944,63.29751],[-168.77194,63.1886],[-169.52944,62.97693],[-170.29056,63.19444],[-170.67139,63.37582],[-171.55306,63.31779],[-171.79111,63.40585],[-171.73166,63.78252]]],[[[-155.06779,71.14778],[-154.34417,70.69641],[-153.90001,70.88999],[-152.21001,70.82999],[-152.27,70.60001],[-150.73999,70.43002],[-149.72,70.53001],[-147.61336,70.21403],[-145.68999,70.12001],[-144.92001,69.98999],[-143.58945,70.15251],[-142.07251,69.85194],[-140.98599,69.712],[-140.9925,66.00003],[-140.99777,60.3064],[-140.013,60.27684],[-139.039,60.00001],[-138.34089,59.56211],[-137.4525,58.905],[-136.47972,59.46389],[-135.47583,59.78778],[-134.945,59.27056],[-134.27111,58.86111],[-133.35555,58.41029],[-132.73042,57.69289],[-131.70781,56.55212],[-130.00778,55.91583],[-129.97999,55.285],[-130.53611,54.80275],[-131.08582,55.17891],[-131.96721,55.49778],[-132.25001,56.37],[-133.53918,57.17889],[-134.07806,58.12307],[-135.03821,58.18771],[-136.62806,58.21221],[-137.80001,58.5],[-139.86779,59.53776],[-140.82527,59.72752],[-142.57444,60.08445],[-143.95888,59.99918],[-145.92556,60.45861],[-147.11437,60.88466],[-148.22431,60.67299],[-148.01807,59.97833],[-148.57082,59.91417],[-149.72786,59.70566],[-150.60824,59.36821],[-151.71639,59.15582],[-151.85943,59.74498],[-151.40972,60.7258],[-150.34694,61.03359],[-150.62111,61.28442],[-151.89584,60.7272],[-152.57833,60.06166],[-154.01917,59.35028],[-153.28751,58.86473],[-154.23249,58.14637],[-155.30749,57.72779],[-156.30833,57.42277],[-156.5561,56.97998],[-158.11722,56.46361],[-158.43332,55.99415],[-159.60333,55.56669],[-160.28972,55.64358],[-161.22305,55.36473],[-162.23777,55.02419],[-163.06945,54.68974],[-164.78557,54.40417],[-164.94223,54.57222],[-163.84834,55.03943],[-162.87,55.34804],[-161.80417,55.89499],[-160.5636,56.00805],[-160.07056,56.41806],[-158.68444,57.01668],[-158.4611,57.21692],[-157.72277,57.57],[-157.55027,58.32833],[-157.04167,58.91888],[-158.19473,58.6158],[-158.51722,58.78778],[-159.05861,58.42419],[-159.71167,58.93139],[-159.98129,58.57255],[-160.35527,59.07112],[-161.355,58.67084],[-161.96889,58.67166],[-162.05499,59.26693],[-161.87417,59.63362],[-162.51806,59.98972],[-163.81834,59.79806],[-164.66222,60.26748],[-165.34639,60.5075],[-165.35083,61.0739],[-166.12138,61.50002],[-165.73445,62.075],[-164.91918,62.63308],[-164.56251,63.14638],[-163.75333,63.21945],[-163.06722,63.05946],[-162.26056,63.54194],[-161.53445,63.45582],[-160.77251,63.76611],[-160.95834,64.2228],[-161.51807,64.40279],[-160.77778,64.7886],[-161.39193,64.77724],[-162.45305,64.55944],[-162.75779,64.33861],[-163.54639,64.55916],[-164.96083,64.44695],[-166.42529,64.68667],[-166.845,65.0889],[-168.11056,65.67],[-166.70527,66.08832],[-164.47471,66.57666],[-163.65251,66.57666],[-163.7886,66.07721],[-161.67777,66.11612],[-162.48971,66.73557],[-163.71972,67.11639],[-164.43099,67.61634],[-165.39029,68.04277],[-166.76444,68.35888],[-166.20471,68.88303],[-164.43081,68.91554],[-163.16861,69.37111],[-162.93057,69.85806],[-161.9089,70.33333],[-160.9348,70.44769],[-159.03918,70.89164],[-158.11972,70.82472],[-156.58082,71.35776],[-155.06779,71.14778]]]]},\"properties\":{\"name\":\"United States\"}}]}","edition":"Version 1.0: March 2019; Version 1.1: July 2022","contact":"<p><a href=\"https://minerals.usgs.gov/\" data-mce-href=\"https://minerals.usgs.gov/\">Mineral Resources Program</a><br>U.S. Geological Survey<br>913 National Center<br>12201 Sunrise Valley Drive <br>Reston, VA 20192<br>Email: <a href=\"mailtto:Minerals@usgs.gov\" data-mce-href=\"mailtto:Minerals@usgs.gov\">Minerals@usgs.gov</a></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Introduction</li><li>Geologic Framework for REE Focus Areas</li><li>Data Sources</li><li>Methods</li><li>Discussion</li><li>Priority Data Needs</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-03-14","revisedDate":"2022-07-14","noUsgsAuthors":false,"publicationDate":"2019-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":759159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759160,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217671,"text":"70217671 - 2019 - Temporal gamma-diversity meets spatial alpha-diversity in dynamically varying ecosystems","interactions":[],"lastModifiedDate":"2021-01-28T00:49:47.855327","indexId":"70217671","displayToPublicDate":"2020-04-04T18:43:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Temporal gamma-diversity meets spatial alpha-diversity in dynamically varying ecosystems","docAbstract":"<p><span>Community measures collected at a single instance or over a short temporal period rarely provide a complete accounting of biological diversity. The gap between such “snapshot” measures of diversity and actual diversity can be especially large in systems that undergo great temporal variation in environmental conditions. To adequately quantify diversity in these temporally varying ecosystems, individual measures of diversity collected throughout the range of environmental variation, i.e., temporal alpha-diversity measures, must be combined to obtain temporal gamma-diversity. Such a time-integrated gamma-diversity measure will be a much closer approximation of a site’s true alpha-diversity and provide a measure better comparable to spatial alpha-diversity measures of sites with lower temporal variation for which a single or a few “snapshot” measures may suffice. We used aquatic-macroinvertebrate community-composition data collected over a 24-year period from a complex of 16 prairie-pothole wetlands to explore the rate that taxa accumulate over time at sites with differing degrees of temporal variation. Our results show that the rate of taxa accumulation over time, i.e., the slope of the species–time relationship, is steeper for wetlands with ponds that frequently dry compared to those with more-permanent ponds. Additionally, we found that a logarithmic function better fit species accumulation data for seasonally ponded wetlands whereas a power function better fit accumulations for permanently and semi-permanently ponded wetlands. Thus, interpretations of ecological diversity measures, and conservation decisions that rely on these interpretations, can be biased if temporal variations in community composition are not adequately represented.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10531-019-01756-1","usgsCitation":"Mushet, D.M., Solensky, M.J., and Erickson, S.F., 2019, Temporal gamma-diversity meets spatial alpha-diversity in dynamically varying ecosystems: Biodiversity and Conservation, v. 28, p. 1783-1797, https://doi.org/10.1007/s10531-019-01756-1.","productDescription":"15 p.","startPage":"1783","endPage":"1797","ipdsId":"IP-101040","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-019-01756-1","text":"Publisher Index Page"},{"id":382738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.69725036621094,\n              47.848187594394815\n            ],\n            [\n              -100.64849853515625,\n              47.848187594394815\n            ],\n            [\n              -100.64849853515625,\n              47.884348247770006\n            ],\n            [\n              -100.69725036621094,\n              47.884348247770006\n            ],\n            [\n              -100.69725036621094,\n              47.848187594394815\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":809215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solensky, Matthew J. 0000-0003-4376-7765 msolensky@usgs.gov","orcid":"https://orcid.org/0000-0003-4376-7765","contributorId":4784,"corporation":false,"usgs":true,"family":"Solensky","given":"Matthew","email":"msolensky@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":809216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Shay F. 0000-0002-5378-9821","orcid":"https://orcid.org/0000-0002-5378-9821","contributorId":248466,"corporation":false,"usgs":false,"family":"Erickson","given":"Shay","email":"","middleInitial":"F.","affiliations":[{"id":49922,"text":"USGS/NPWRC Student Contractor","active":true,"usgs":false}],"preferred":false,"id":809217,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204591,"text":"70204591 - 2019 - Bottom trawl assessment of Lake Ontario prey fishes","interactions":[],"lastModifiedDate":"2020-05-29T17:27:53.041846","indexId":"70204591","displayToPublicDate":"2020-03-31T12:25:14","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Bottom trawl assessment of Lake Ontario prey fishes","docAbstract":"<p>Collaborative Lake Ontario bottom trawl surveys, led by the United States Geological Survey (USGS), provide science and management information for evaluating Fish Community Objectives including predator-prey balance and prey fish community diversity. In 2018, the New York State Department of Environmental Conservation (NYSDEC), Ontario Ministry of Natural Resources and Forestry (OMNR), and the (USGS) completed an April bottom trawl survey (n = 208 tows) and an October survey (n = 118 tows), at depths 6-228 m, and captured 384,651 fish from 31 species. Alewife were 80% of the total catch by number and round goby, deepwater sculpin, and rainbow smelt comprised 12, 4, and 3% of the catch, respectively. The adult alewife abundance index for U.S. waters decreased in 2018 relative to 2017, while the index in Canadian waters increased. While lake wide density increased, biomass indices for Age-2 alewife decreased. Alewife condition indices were below the 10-year average for both the April and October indices. The 2018 Age-1 alewife abundance index, which measures reproductive success the previous year, was the third lowest observed in U.S. waters over the past 22 years. The Canadian Age-1 index 2018 value was four-times larger than the U.S. value. Within-year differences between Canadian and U.S. alewife abundance indices, highlight the importance of assessing Lake Ontario fishes at a whole-lake scale. Abundance indices for rainbow smelt, threespine stickleback and emerald shiner were similar to 2017. New experimental trawl sites in embayment habitats generally captured more species, a higher proportion of native species, and higher densities relative to similar depth sites in the main lake and regions adjacent to embayments. Pelagic prey fish diversity continues to be low because a single species, alewife, dominates the catch. Deepwater sculpin and round goby were the most abundant demersal (bottom-oriented) prey fishes in 2018. Slimy sculpin and native nearshore demersal prey fishes, which were historically more abundant in trawl catches, are rare and restricted to specific habitats, since round goby proliferation. Despite declines in some species, demersal prey fish community diversity continues to increase as deepwater sculpin and round goby comprise more even portions of the community in contrast to when a single species, slimy sculpin, dominated the community. Five bloater were captured in the 2018 surveys which is the largest number captured in Lake Ontario since restoration stocking began in 2012. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2018 Annual report","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Weidel, B., Connerton, M., and Holden, J., 2019, Bottom trawl assessment of Lake Ontario prey fishes, chap. 12 <i>of</i> 2018 Annual report, p. 12-1-12-25.","productDescription":"25 p.","startPage":"12-1","endPage":"12-25","ipdsId":"IP-105763","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":375153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375152,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dec.ny.gov/outdoor/27068.html"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.925537109375,\n              43.265206318396025\n            ],\n            [\n              -79.8101806640625,\n              43.281204464332745\n            ],\n            [\n              -79.5904541015625,\n              43.18515250937298\n            ],\n            [\n              -79.3597412109375,\n              43.16512263158296\n            ],\n            [\n              -79.1839599609375,\n              43.193162620926074\n            ],\n            [\n              -78.9532470703125,\n              43.27320591705845\n            ],\n            [\n              -78.6236572265625,\n              43.329173667843904\n            ],\n            [\n              -78.4259033203125,\n              43.369119087738554\n            ],\n            [\n              -78.189697265625,\n              43.35713822211053\n            ],\n            [\n              -78.123779296875,\n              43.35713822211053\n            ],\n            [\n              -77.95898437499999,\n              43.35314407444698\n            ],\n            [\n              -77.750244140625,\n              43.32517767999296\n            ],\n            [\n              -77.596435546875,\n              43.23719944365308\n            ],\n            [\n              -77.51953125,\n              43.197167282501276\n            ],\n            [\n              -77.5140380859375,\n              43.241201214257885\n            ],\n            [\n              -77.3602294921875,\n              43.26920624914964\n            ],\n            [\n              -77.14050292968749,\n              43.27720532212024\n            ],\n            [\n              -77.01416015625,\n              43.26120612479979\n            ],\n            [\n              -76.89880371093749,\n              43.213183300738876\n            ],\n            [\n              -76.904296875,\n              43.26920624914964\n            ],\n            [\n              -76.7340087890625,\n              43.32517767999296\n            ],\n            [\n              -76.6461181640625,\n              43.37311218382002\n            ],\n            [\n              -76.5966796875,\n              43.42898792344155\n            ],\n            [\n              -76.48681640625,\n              43.48082639482503\n            ],\n            [\n              -76.4208984375,\n              43.50872101129684\n            ],\n            [\n              -76.365966796875,\n              43.52465500687185\n            ],\n            [\n              -76.31103515625,\n              43.51270490464819\n            ],\n            [\n              -76.2396240234375,\n              43.51270490464819\n            ],\n            [\n              -76.17919921875,\n              43.624147145668076\n            ],\n            [\n              -76.1407470703125,\n              43.6599240747891\n            ],\n            [\n              -76.1846923828125,\n              43.691707903073805\n            ],\n            [\n              -76.1956787109375,\n              43.78299262890581\n            ],\n            [\n              -76.201171875,\n              43.8503744993026\n            ],\n            [\n              -76.0968017578125,\n              43.91768033000405\n            ],\n            [\n              -75.9979248046875,\n              44.008620115415354\n            ],\n            [\n              -76.1297607421875,\n              44.08363928284644\n            ],\n            [\n              -76.300048828125,\n              44.14279782818058\n            ],\n            [\n              -76.3934326171875,\n              44.17826452922573\n            ],\n            [\n              -76.453857421875,\n              44.25700308645885\n            ],\n            [\n              -76.629638671875,\n              44.25700308645885\n            ],\n            [\n              -76.8109130859375,\n              44.17038488259618\n            ],\n            [\n              -76.97021484375,\n              44.08758502824516\n            ],\n            [\n              -77.069091796875,\n              44.071800467511565\n            ],\n            [\n              -77.069091796875,\n              43.96514454266273\n            ],\n            [\n              -77.080078125,\n              43.88997537383687\n            ],\n            [\n              -77.3162841796875,\n              43.96119063892024\n            ],\n            [\n              -77.4151611328125,\n              43.96909818325171\n            ],\n            [\n              -77.574462890625,\n              44.06390660801779\n            ],\n            [\n              -77.7337646484375,\n              44.040218713142146\n            ],\n            [\n              -78.01391601562499,\n              44.004669106432225\n            ],\n            [\n              -78.33251953125,\n              43.95328204198018\n            ],\n            [\n              -78.5137939453125,\n              43.90185050527358\n            ],\n            [\n              -78.7664794921875,\n              43.88997537383687\n            ],\n            [\n              -78.9862060546875,\n              43.862257524417934\n            ],\n            [\n              -79.1015625,\n              43.81471121600004\n            ],\n            [\n              -79.2279052734375,\n              43.723474896114794\n            ],\n            [\n              -79.3377685546875,\n              43.65197548731187\n            ],\n            [\n              -79.4805908203125,\n              43.644025847699496\n            ],\n            [\n              -79.5684814453125,\n              43.56845179881218\n            ],\n            [\n              -79.617919921875,\n              43.52465500687185\n            ],\n            [\n              -79.6343994140625,\n              43.464880828929545\n            ],\n            [\n              -79.7113037109375,\n              43.37710501700073\n            ],\n            [\n              -79.82666015625,\n              43.329173667843904\n            ],\n            [\n              -79.925537109375,\n              43.265206318396025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":767664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":767663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Jeremy","contributorId":139654,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":767665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70218674,"text":"70218674 - 2019 - The US Geological Survey’s Earth Mapping Resources Initiative (Earth MRI)—Providing framework geologic, geophysical, and elevation data to the nation’s critical mineral-bearing regions","interactions":[],"lastModifiedDate":"2021-09-22T16:36:39.76293","indexId":"70218674","displayToPublicDate":"2019-12-31T11:27:11","publicationYear":"2019","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9355,"text":"Fast Times","active":true,"publicationSubtype":{"id":30}},"title":"The US Geological Survey’s Earth Mapping Resources Initiative (Earth MRI)—Providing framework geologic, geophysical, and elevation data to the nation’s critical mineral-bearing regions","docAbstract":"<p><span>New detailed mapping of the geologic resources of the Nation </span><span>has the potential to significantly close the gap in the essential </span><span>data needed to fuel a modern era of economic development and </span><span>technological innovation, while at the same time dramatically </span><span>enhancing our understanding of the fundamental way geology </span><span>impacts everyday life, from the domestic critical mineral resources </span><span>that are necessary for modern technology and the economy, </span><span>to domestic energy and water resources, geologic hazards, </span><span>agriculture, and other pressing needs. The U.S. Geological Survey </span><span>established the Earth Resources Mapping Initiative (Earth MRI) to </span><span>address the shortfall in geologic, geophysical, and elevation data </span><span>with sufficient detail to support evaluation of regions in the United </span><span>States that have potential to host critical mineral resources. The </span><span>new effort is a collaboration with the Association of American </span><span>State Geologists, who are providing new detailed geologic maps </span><span>and making available online archived data and information related </span><span>to critical mineral resources. The geophysical and lidar surveys </span><span>are being contracted through industry specialists to assure that </span><span>high-quality data are available to the public. This article provides </span><span>an overview of the Earth MRI effort with discussions on the initial </span><span>geophysical surveys funded for areas that have known potential </span><span>for rare earth element resources. Subsequent projects are being </span><span>designed to address areas that may host other critical mineral </span><span>resources.</span></p>","language":"English","publisher":"Association of American State Geologists","usgsCitation":"Day, W.C., Drenth, B.J., McCafferty, A.E., Shah, A.K., Ponce, D.A., Jones, J.V., and Grauch, V.J., 2019, The US Geological Survey’s Earth Mapping Resources Initiative (Earth MRI)—Providing framework geologic, geophysical, and elevation data to the nation’s critical mineral-bearing regions: Fast Times, v. 24, no. 5, p. 55-62.","productDescription":"8 p.","startPage":"55","endPage":"62","ipdsId":"IP-113023","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":389596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389595,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eegs.org/past-issues"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -130.67138671875,\n              54.686534234529695\n            ],\n            [\n              -129.9462890625,\n              55.36662484928637\n            ],\n            [\n              -130.1220703125,\n              56.145549500679074\n            ],\n            [\n              -131.9677734375,\n              56.9449741808516\n            ],\n            [\n              -135.3076171875,\n              59.833775202184206\n            ],\n            [\n              -136.38427734375,\n              59.65664225341022\n            ],\n            [\n              -136.6259765625,\n              59.23217626921806\n            ],\n            [\n              -137.52685546875,\n              58.938673187948304\n            ],\n            [\n              -137.65869140625,\n              59.33318942659219\n            ],\n            [\n              -138.8232421875,\n              60.009970961180386\n            ],\n            [\n              -139.21874999999997,\n              60.108670463036\n            ],\n            [\n              -139.04296875,\n              60.403001945865476\n            ],\n            [\n              -139.85595703125,\n              60.337823495982015\n            ],\n            [\n              -140.99853515625,\n              60.337823495982015\n            ],\n            [\n              -141.15234374999997,\n              69.71810669906763\n            ],\n            [\n              -143.4375,\n              70.17020068549206\n            ],\n            [\n              -145.1953125,\n              70.08056215839737\n            ],\n            [\n              -149.765625,\n              70.58341752317065\n            ],\n            [\n              -152.40234375,\n              70.61261423801925\n            ],\n            [\n              -152.314453125,\n              70.95969716686398\n            ],\n            [\n              -157.1484375,\n              71.35706654962706\n            ],\n            [\n              -159.9609375,\n              70.8734913192635\n            ],\n            [\n              -162.0703125,\n              70.31873847853124\n            ],\n            [\n              -163.916015625,\n              69.06856318696033\n            ],\n            [\n              -166.376953125,\n              68.942606818121\n            ],\n            [\n              -166.376953125,\n              68.26938680456564\n            ],\n            [\n              -163.30078125,\n              66.86108230224609\n            ],\n            [\n              -161.982421875,\n              66.47820814385636\n            ],\n            [\n              -163.564453125,\n              66.08936427047088\n            ],\n            [\n              -163.564453125,\n              66.6181218846659\n            ],\n            [\n              -165.76171875,\n              66.40795547978848\n            ],\n            [\n              -168.0908203125,\n              65.69447579373418\n            ],\n            [\n              -166.55273437499997,\n              65.14611484756372\n            ],\n            [\n              -166.904296875,\n              65.05360170595502\n            ],\n            [\n              -166.3330078125,\n              64.41592147626879\n            ],\n            [\n              -162.861328125,\n              64.39693778132846\n            ],\n            [\n              -160.927734375,\n              64.90491004905083\n            ],\n            [\n              -161.0595703125,\n              64.47279382008166\n            ],\n            [\n              -161.4990234375,\n              64.49172504435471\n            ],\n            [\n              -160.8837890625,\n              63.87939001720202\n            ],\n            [\n              -161.1474609375,\n              63.470144746565424\n            ],\n            [\n              -162.6416015625,\n              63.64625919492172\n            ],\n            [\n              -163.212890625,\n              63.05495931065107\n            ],\n            [\n              -164.2236328125,\n              63.37183226679281\n            ],\n            [\n              -166.1572265625,\n              61.75233128411639\n            ],\n            [\n              -165.3662109375,\n              60.54377524118842\n            ],\n            [\n              -167.431640625,\n              60.326947742998414\n            ],\n            [\n              -167.255859375,\n              59.866883195210214\n            ],\n            [\n              -165.8935546875,\n              59.7563950493563\n            ],\n            [\n              -162.68554687499997,\n              59.734253447591364\n            ],\n            [\n              -162.3779296875,\n              60.174306261926034\n            ],\n            [\n              -161.806640625,\n              59.46740794183739\n            ],\n            [\n              -162.0263671875,\n              59.108308258604964\n            ],\n            [\n              -161.806640625,\n              58.768200159239576\n            ],\n            [\n              -162.20214843749997,\n              58.65408464530598\n            ],\n            [\n              -160.83984375,\n              58.44773280389084\n            ],\n            [\n              -159.9609375,\n              58.6769376725869\n            ],\n            [\n              -159.08203125,\n              58.309488840677645\n            ],\n            [\n              -156.88476562499997,\n              58.92733441827545\n            ],\n            [\n              -157.5,\n              58.516651799363785\n            ],\n            [\n              -157.8076171875,\n              57.61010702068388\n            ],\n            [\n              -161.54296875,\n              56.022948079627454\n            ],\n            [\n              -168.6181640625,\n              53.4357192066942\n            ],\n            [\n              -174.9462890625,\n              52.26815737376817\n            ],\n            [\n              -178.2421875,\n              51.83577752045248\n            ],\n            [\n              -173.1884765625,\n              51.590722643120145\n            ],\n            [\n              -162.5537109375,\n              54.23955053156177\n            ],\n            [\n              -155.302734375,\n              55.52863052257191\n            ],\n            [\n              -151.4794921875,\n              57.51582286553883\n            ],\n            [\n              -146.9970703125,\n              60.08676274626006\n            ],\n            [\n              -145.546875,\n              60.21799073323445\n            ],\n            [\n              -144.228515625,\n              59.689926220143356\n            ],\n            [\n              -142.3828125,\n              59.93300042374631\n            ],\n            [\n              -138.3837890625,\n              58.83649009392136\n            ],\n            [\n              -135.6591796875,\n              56.31653672211301\n            ],\n            [\n              -133.2421875,\n              54.521081495443596\n            ],\n            [\n              -130.67138671875,\n              54.686534234529695\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.796875,\n              44.902577996288876\n            ],\n            [\n              -67.67578124999999,\n              45.583289756006316\n            ],\n            [\n              -67.939453125,\n              47.57652571374621\n            ],\n            [\n              -69.2578125,\n              47.338822694822\n            ],\n            [\n              -71.19140625,\n              45.27488643704891\n            ],\n            [\n              -75.146484375,\n              44.96479793033101\n            ],\n            [\n              -78.046875,\n              43.644025847699496\n            ],\n            [\n              -79.1015625,\n              43.51668853502906\n            ],\n            [\n              -79.1015625,\n              42.87596410238256\n            ],\n            [\n              -82.68310546875,\n              41.65649719441145\n            ],\n            [\n              -83.14453125,\n              42.049292638686836\n            ],\n            [\n              -83.07861328125,\n              42.374778361114195\n            ],\n            [\n              -82.529296875,\n              42.601619944327965\n            ],\n            [\n              -82.24365234375,\n              43.6599240747891\n            ],\n            [\n              -82.41943359375,\n              45.058001435398275\n            ],\n            [\n              -83.60595703125,\n              45.85941212790755\n            ],\n            [\n              -83.49609375,\n              46.027481852486645\n            ],\n            [\n              -83.7158203125,\n              46.164614496897094\n            ],\n            [\n              -83.95751953125,\n              46.07323062540835\n            ],\n            [\n              -84.24316406249999,\n              46.558860303117164\n            ],\n            [\n              -84.72656249999999,\n              46.558860303117164\n            ],\n            [\n              -84.90234375,\n              46.92025531537451\n            ],\n            [\n              -88.41796875,\n              48.3416461723746\n            ],\n            [\n              -89.3408203125,\n              47.96050238891509\n            ],\n            [\n              -90.76904296874999,\n              48.122101028190805\n            ],\n            [\n              -90.87890625,\n              48.22467264956519\n            ],\n            [\n              -91.51611328125,\n              48.10743118848039\n            ],\n            [\n              -92.2412109375,\n              48.37084770238366\n            ],\n            [\n              -92.39501953125,\n              48.23930899024907\n            ],\n            [\n              -92.94433593749999,\n              48.61838518688487\n            ],\n            [\n              -93.44970703125,\n              48.63290858589535\n            ],\n            [\n              -94.7021484375,\n              48.748945343432936\n            ],\n            [\n              -94.833984375,\n              49.23912083246698\n            ],\n            [\n              -95.1416015625,\n              49.396675075193976\n            ],\n            [\n              -95.20751953125,\n              49.009050809382046\n            ],\n            [\n              -123.22265625000001,\n              48.99463598353405\n            ],\n            [\n              -123.0908203125,\n              48.80686346108517\n            ],\n            [\n              -123.24462890625,\n              48.66194284607006\n            ],\n            [\n              -123.1787109375,\n              48.32703913063476\n            ],\n            [\n              -124.78271484375,\n              48.472921272487824\n            ],\n            [\n              -124.93652343749999,\n              48.16608541901253\n            ],\n            [\n              -124.365234375,\n              46.58906908309182\n            ],\n            [\n              -124.541015625,\n              44.15068115978094\n            ],\n            [\n              -124.93652343749999,\n              42.69858589169842\n            ],\n            [\n              -124.541015625,\n              41.22824901518529\n            ],\n            [\n              -124.73876953125,\n              40.43022363450862\n            ],\n            [\n              -124.03564453125,\n              39.35129035526705\n            ],\n            [\n              -124.01367187499999,\n              38.8225909761771\n            ],\n            [\n              -122.05810546875,\n              36.12012758978146\n            ],\n            [\n              -120.95947265624999,\n              34.88593094075317\n            ],\n            [\n              -120.80566406250001,\n              34.08906131584994\n            ],\n            [\n              -118.21289062499999,\n              32.2313896627376\n            ],\n            [\n              -117.22412109375,\n              32.54681317351514\n            ],\n            [\n              -114.78515624999999,\n              32.713355353177555\n            ],\n            [\n              -114.78515624999999,\n              32.491230287947594\n            ],\n            [\n              -110.98388671874999,\n              31.3348710339506\n            ],\n            [\n              -108.21533203125,\n              31.297327991404266\n            ],\n            [\n              -108.2373046875,\n              31.765537409484374\n            ],\n            [\n              -106.435546875,\n              31.765537409484374\n            ],\n            [\n              -104.9853515625,\n              30.600093873550072\n            ],\n            [\n              -104.47998046875,\n              29.592565403314087\n            ],\n            [\n              -103.20556640625,\n              28.94086176940557\n            ],\n            [\n              -102.65625,\n              29.76437737516313\n            ],\n            [\n              -102.3486328125,\n              29.84064389983441\n            ],\n            [\n              -101.49169921875,\n              29.7453016622136\n            ],\n            [\n              -100.83251953125,\n              29.267232865200878\n            ],\n            [\n              -100.30517578125,\n              28.246327971048842\n            ],\n            [\n              -99.60205078124999,\n              27.586197857692664\n            ],\n            [\n              -99.47021484375,\n              27.31321389856826\n            ],\n            [\n              -99.228515625,\n              26.52956523826758\n            ],\n            [\n              -98.2177734375,\n              26.05678288577881\n            ],\n            [\n              -97.75634765625,\n              26.03704188651584\n            ],\n            [\n              -97.44873046875,\n              25.839449402063185\n            ],\n            [\n              -97.20703125,\n              25.93828707492375\n            ],\n            [\n              -96.8994140625,\n              26.194876675795218\n            ],\n            [\n              -96.78955078125,\n              27.858503954841247\n            ],\n            [\n              -93.75732421875,\n              29.420460341013133\n            ],\n            [\n              -90.2197265625,\n              28.998531814051795\n            ],\n            [\n              -88.22021484375,\n              29.05616970274342\n            ],\n            [\n              -87.91259765625,\n              30.14512718337613\n            ],\n            [\n              -86.5283203125,\n              30.183121842195515\n            ],\n            [\n              -85.2978515625,\n              29.49698759653577\n            ],\n            [\n              -84.13330078125,\n              29.80251790576445\n            ],\n            [\n              -82.81494140625,\n              28.555576049185973\n            ],\n            [\n              -83.21044921875,\n              27.800209937418252\n            ],\n            [\n              -82.77099609375,\n              26.941659545381516\n            ],\n            [\n              -82.08984375,\n              25.878994400196202\n            ],\n            [\n              -81.5625,\n              25.264568475331583\n            ],\n            [\n              -82.28759765625,\n              24.467150664739002\n            ],\n            [\n              -82.0458984375,\n              24.046463999666567\n            ],\n            [\n              -80.6396484375,\n              24.56710835257599\n            ],\n            [\n              -79.78271484375,\n              25.34402602913433\n            ],\n            [\n              -79.60693359375,\n              27.27416111737468\n            ],\n            [\n              -80.68359375,\n              30.713503990354965\n            ],\n            [\n              -80.66162109375,\n              31.50362930577303\n            ],\n            [\n              -76.81640625,\n              34.07086232376631\n            ],\n            [\n              -75.16845703124999,\n              35.263561862152095\n            ],\n            [\n              -75.498046875,\n              37.055177106660814\n            ],\n            [\n              -73.58642578125,\n              39.90973623453719\n            ],\n            [\n              -71.3671875,\n              40.84706035607122\n            ],\n            [\n              -69.63134765625,\n              40.9964840143779\n            ],\n            [\n              -70.0048828125,\n              42.342305278572816\n            ],\n            [\n              -70.3564453125,\n              42.89206418807337\n            ],\n            [\n              -67.2802734375,\n              44.37098696297173\n            ],\n            [\n              -67.0166015625,\n              44.69989765840318\n            ],\n            [\n              -66.796875,\n              44.902577996288876\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.56640625,\n              18.771115062337024\n            ],\n            [\n              -154.68749999999997,\n              19.642587534013032\n            ],\n            [\n              -156.9287109375,\n              21.453068633086783\n            ],\n            [\n              -159.521484375,\n              22.43134015636061\n            ],\n            [\n              -160.5322265625,\n              21.983801417384697\n            ],\n            [\n              -159.9609375,\n              21.207458730482642\n            ],\n            [\n              -158.291015625,\n              20.92039691397189\n            ],\n            [\n              -156.97265625,\n              19.932041306115536\n            ],\n            [\n              -155.9619140625,\n              18.8543103618898\n            ],\n            [\n              -155.56640625,\n              18.771115062337024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":811327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":811328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":811329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":811330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":811331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":811332,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":811333,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202322,"text":"70202322 - 2019 - Off-channel waterbodies in the Middle Mississippi River: A pilot investigation","interactions":[],"lastModifiedDate":"2020-05-27T16:31:57.70458","indexId":"70202322","displayToPublicDate":"2019-12-31T11:25:41","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5958,"text":"U.S Army Corps of Engineers Completion Report","active":true,"publicationSubtype":{"id":1}},"title":"Off-channel waterbodies in the Middle Mississippi River: A pilot investigation","docAbstract":"<p>Off-channel and floodplain water bodies are important components of large river ecosystems while rare within the Middle Mississippi River. The lack of these habitats likely influences water quality, nutrient processing, and communities of organisms. In early 2016 a major flood event breached two levees south of Cape Girardeau, MO resulting in the creation of two new backwaters—Len Small and Backwater MO 35.5. Water quality, metabolic rate, and fish community data were collected from the new backwaters as well as Horseshow Lake an isolated floodplain lake. Backwater conditions were often different from the main channel with backwaters being warmer and with greater water clarity throughout the study. Nutrient concentrations were often different from the main channel and exhibited similar patterns to those observed in the Upper Mississippi River. One backwater showed high rates of primary productivity (NEP) along with the floodplain lake. Differences between backwater metabolic rates may be due in part to differences in size and connectivity to the river. Fish communities were different between waterbodies with a number of lacustrine species observed in the floodplain lake. Habitat and feeding guilds were also different between waterbodies. Diversity was also not significantly different between waterbodies.</p><p>This study represents novel findings for off-channel habitats on the Middle Mississippi River and the opportunity to explore the establishment of new habitat types. Ultimately, we view MO 35.5, Len Small, and Horseshoe Lake as important habitats within the larger riverine ecosystem. There remains much to be learned if restoration activities based on backwater creation within the MMR are to be successful but these preliminary and early stage results indicate these areas are already providing important and variable environmental conditions to riverine organisms.</p>","language":"English","publisher":"U.S. Army Corps of Engineer's Upper Mississippi River Restoration Program","usgsCitation":"Sobotka, M., and West, J., 2019, Off-channel waterbodies in the Middle Mississippi River: A pilot investigation: U.S Army Corps of Engineers Completion Report, Report: 28 p.; Data Release.","productDescription":"Report: 28 p.; Data Release","ipdsId":"IP-098199","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":375090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375089,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5bf42c29e4b045bfcae120d3"},{"id":375088,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.umesc.usgs.gov/documents/publications/2019/sobotka_a_2019.html"}],"country":"United States","state":"Illinois, Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.4894790649414,\n              37.06230052887983\n            ],\n            [\n              -89.27146911621092,\n              37.06230052887983\n            ],\n            [\n              -89.27146911621092,\n              37.16113737391723\n            ],\n            [\n              -89.4894790649414,\n              37.16113737391723\n            ],\n            [\n              -89.4894790649414,\n              37.06230052887983\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sobotka, Molly","contributorId":213496,"corporation":false,"usgs":false,"family":"Sobotka","given":"Molly","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":757832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, John","contributorId":189976,"corporation":false,"usgs":false,"family":"West","given":"John","affiliations":[],"preferred":false,"id":757833,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223690,"text":"70223690 - 2019 - Heavy mineral sands resources in China","interactions":[],"lastModifiedDate":"2021-09-02T13:27:48.977348","indexId":"70223690","displayToPublicDate":"2019-12-31T08:25:07","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Heavy mineral sands resources in China","docAbstract":"About 200 known coastal deposits of heavy mineral sands (HMS) occur in China, in which considerable mineral resources of titanium, zircon, rare earth elements, and thorium exist in the forms of ilmenite, rutile, zircon, and monazite. More than 20 of these HMS deposits are reported as having been or are actively being mined in China during the past three decades, of which 12 have been reported to have industrial resources. Commercially important deposits occur almost entirely in Cenozoic beach and sand dune deposits, principally along China’s eastern coast (e.g., Shandong Province) and southern coast (e.g., Guangxi, Guangdong, Hainan, and Fujian provinces), and particularly on Hainan island. There are also important deposits of HMS along coastal areas of Taiwan. China has the largest share of the world’s economic ilmenite resources in HMS deposits (31%). \n\nA variety of igneous and associated metamorphic rocks along the coastal areas of China provided an abundant source of heavy minerals for the formation of the HMS occurrences. Studies of titanium-rich HMS deposits have shown that ilmenite is mostly sourced from igneous rocks. For example, 40% of the bedrock of Hainan island consists of Triassic and Cretaceous granites emplaced into rocks of the Cathyasia Block, and all of the HMS districts on the island lie no more than 15 km downstream from a Middle Triassic suite of syenite to granite intrusions. The southern coastal regions of Guangdong and Guangxi provinces are dominated by Jurassic granodiorite, biotite granite, two-mica granite, and A-type granite, with minor gabbro and syenite. Identified accessory minerals in the Jurassic alkaline granitoids include zircon, apatite, allanite, titanite, magnetite, ilmenite, monazite, and niobite. Thus, multiple plutons are in proximity to the Cenozoic coastal plain and are available as bedrock sources for the detrital titanium minerals, zircon, and monazite. \n\nMore than 100 HMS deposits and prospects have been identified in Shandong Province, consisting of more than 20 varieties of heavy minerals in quartz sand, which include zircon, ilmenite, rutile, monazite, magnetite, xenotime, and gold (in general order of abundance) derived from Precambrian metamorphic basement and Mesozoic intrusions. Of these minerals, zircon, magnetite, gold, and quartz sand have economic significance. The quartz sands are used by the glass and construction industries. The placers mainly occur in and adjacent to the littoral zones of the northern and southern coasts of the Jiaodong Peninsula in Shandong province. Seven beach placer, HMS prospective areas have been delineated in coastal areas of the peninsula. \n\nDue to nearly exhausted placer reserves in the Chinese coastal zones, as well as increased environmental restrictions, future prospecting for heavy minerals will likely focus on ancient beach systems in China’s inland sedimentary basins. Also, offshore deposits of HMS in shallow coastal waters are other potential sources of heavy minerals, such as the Baoding Sea zircon-titanium, minerals-rich placer under development near Wanning on Hainan. Similarly, there is potential for offshore HMS deposits in shallow waters of the entire coastal area of southern Taiwan that remains to be fully evaluated. Reconnaissance sampling along Taiwan island’s coasts has revealed the potential for extensive, high-grade HMS accumulations nearshore.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mineral deposits of China","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Van Gosen, B.S., Hou, B., and Song, T., 2019, Heavy mineral sands resources in China, chap. <i>of</i> Mineral deposits of China, v. 22, p. 581-593.","productDescription":"13 p.","startPage":"581","endPage":"593","ipdsId":"IP-068729","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":388805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[110.33919,18.6784],[109.47521,18.1977],[108.65521,18.50768],[108.62622,19.36789],[109.11906,19.82104],[110.2116,20.10125],[110.78655,20.07753],[111.01005,19.69593],[110.57065,19.25588],[110.33919,18.6784]]],[[[127.65741,49.76027],[129.39782,49.4406],[130.58229,48.72969],[130.98728,47.79013],[132.50667,47.78897],[133.3736,48.18344],[135.02631,48.47823],[134.50081,47.57844],[134.11236,47.21247],[133.76964,46.11693],[133.09713,45.14407],[131.88345,45.32116],[131.02521,44.96795],[131.28856,44.11152],[131.14469,42.92999],[130.63387,42.90301],[130.64002,42.39501],[129.99427,42.98539],[129.59667,42.42498],[128.05222,41.99428],[128.20843,41.46677],[127.34378,41.50315],[126.86908,41.81657],[126.18205,41.10734],[125.07994,40.56982],[124.26562,39.92849],[122.86757,39.63779],[122.13139,39.17045],[121.05455,38.89747],[121.58599,39.36085],[121.37676,39.75026],[122.1686,40.42244],[121.64036,40.94639],[120.76863,40.59339],[119.6396,39.89806],[119.02346,39.25233],[118.04275,39.20427],[117.5327,38.73764],[118.0597,38.06148],[118.87815,37.89733],[118.91164,37.44846],[119.7028,37.15639],[120.82346,37.87043],[121.71126,37.48112],[122.35794,37.45448],[122.51999,36.93061],[121.10416,36.65133],[120.63701,36.11144],[119.66456,35.60979],[119.15121,34.90986],[120.22752,34.36033],[120.62037,33.37672],[121.22901,32.46032],[121.90815,31.69217],[121.89192,30.94935],[121.26426,30.67627],[121.50352,30.14291],[122.09211,29.83252],[121.93843,29.01802],[121.68444,28.22551],[121.12566,28.13567],[120.39547,27.05321],[119.5855,25.74078],[118.65687,24.54739],[117.28161,23.6245],[115.89074,22.78287],[114.76383,22.66807],[114.15255,22.22376],[113.80678,22.54834],[113.24108,22.05137],[111.84359,21.55049],[110.78547,21.39714],[110.44404,20.34103],[109.88986,20.28246],[109.62766,21.00823],[109.86449,21.39505],[108.52281,21.71521],[108.05018,21.55238],[107.04342,21.8119],[106.56727,22.2182],[106.7254,22.79427],[105.81125,22.97689],[105.32921,23.35206],[104.47686,22.81915],[103.50451,22.70376],[102.70699,22.7088],[102.17044,22.46475],[101.65202,22.3182],[101.80312,21.17437],[101.27003,21.20165],[101.18001,21.43657],[101.15003,21.84998],[100.41654,21.55884],[99.98349,21.74294],[99.2409,22.11831],[99.53199,22.94904],[98.89875,23.14272],[98.66026,24.06329],[97.60472,23.8974],[97.72461,25.08364],[98.67184,25.9187],[98.71209,26.74354],[98.68269,27.50881],[98.24623,27.74722],[97.91199,28.33595],[97.32711,28.26158],[96.24883,28.41103],[96.58659,28.83098],[96.11768,29.4528],[95.4048,29.03172],[94.56599,29.27744],[93.41335,28.64063],[92.50312,27.89688],[91.69666,27.77174],[91.25885,28.04061],[90.73051,28.06495],[90.01583,28.29644],[89.47581,28.04276],[88.81425,27.29932],[88.73033,28.08686],[88.12044,27.87654],[86.95452,27.97426],[85.82332,28.20358],[85.01164,28.64277],[84.23458,28.83989],[83.89899,29.32023],[83.33712,29.46373],[82.32751,30.11527],[81.5258,30.42272],[81.11126,30.18348],[79.72137,30.88271],[78.73889,31.51591],[78.45845,32.61816],[79.17613,32.48378],[79.20889,32.99439],[78.81109,33.5062],[78.91227,34.32194],[77.83745,35.49401],[76.19285,35.8984],[75.8969,36.66681],[75.15803,37.13303],[74.98,37.41999],[74.82999,37.99001],[74.86482,38.37885],[74.25751,38.60651],[73.92885,38.50582],[73.67538,39.43124],[73.96001,39.66001],[73.82224,39.89397],[74.77686,40.36643],[75.46783,40.56207],[76.52637,40.42795],[76.90448,41.06649],[78.1872,41.18532],[78.54366,41.58224],[80.11943,42.12394],[80.25999,42.35],[80.18015,42.92007],[80.86621,43.18036],[79.96611,44.91752],[81.94707,45.31703],[82.45893,45.53965],[83.18048,47.33003],[85.16429,47.00096],[85.72048,47.45297],[85.76823,48.45575],[86.59878,48.54918],[87.35997,49.21498],[87.75126,49.2972],[88.01383,48.59946],[88.8543,48.06908],[90.28083,47.69355],[90.97081,46.88815],[90.58577,45.71972],[90.94554,45.28607],[92.13389,45.11508],[93.48073,44.97547],[94.68893,44.35233],[95.30688,44.24133],[95.76245,43.31945],[96.3494,42.72564],[97.45176,42.74889],[99.51582,42.52469],[100.84587,42.6638],[101.83304,42.51487],[103.31228,41.90747],[104.52228,41.90835],[104.96499,41.59741],[106.12932,42.13433],[107.74477,42.48152],[109.2436,42.51945],[110.4121,42.87123],[111.12968,43.40683],[111.82959,43.74312],[111.66774,44.07318],[111.34838,44.45744],[111.87331,45.10208],[112.43606,45.01165],[113.46391,44.80889],[114.46033,45.33982],[115.9851,45.72724],[116.71787,46.3882],[117.4217,46.67273],[118.87433,46.80541],[119.66327,46.69268],[119.77282,47.04806],[118.86657,47.74706],[118.06414,48.06673],[117.29551,47.69771],[116.30895,47.85341],[115.74284,47.72654],[115.48528,48.13538],[116.1918,49.1346],[116.6788,49.88853],[117.87924,49.51098],[119.28846,50.14288],[119.27937,50.58291],[120.18205,51.64357],[120.73819,51.96412],[120.72579,52.51623],[120.17709,52.75389],[121.00308,53.2514],[122.24575,53.43173],[123.57151,53.4588],[125.06821,53.16104],[125.94635,52.7928],[126.5644,51.78426],[126.93916,51.35389],[127.28746,50.7398],[127.65741,49.76027]]]]},\"properties\":{\"name\":\"China\"}}]}","volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hou, Baohong","contributorId":265156,"corporation":false,"usgs":false,"family":"Hou","given":"Baohong","email":"","affiliations":[{"id":54613,"text":"Geological Survey of Australia","active":true,"usgs":false}],"preferred":false,"id":822337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Song, Tianrui","contributorId":265157,"corporation":false,"usgs":false,"family":"Song","given":"Tianrui","email":"","affiliations":[{"id":54614,"text":"China","active":true,"usgs":false}],"preferred":false,"id":822338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208948,"text":"70208948 - 2019 - Early generation hybrids may drive range expansion of two invasive fishes","interactions":[],"lastModifiedDate":"2020-03-09T06:42:23","indexId":"70208948","displayToPublicDate":"2019-12-20T06:40:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Early generation hybrids may drive range expansion of two invasive fishes","docAbstract":"1.\t Introgressive hybridization between two invasive species has the potential to contribute to their invasion success and provide genetic resiliency to rapidly adapt to new environments. Additionally, differences in the behaviour of hybrids may lead to deleterious ecosystem effects that compound any negative impacts of the invading parental species.  \n2.\tInvasive silver carp (Hypophthalmichthys molitrix) and bighead carp (H. nobilis) provide an opportunity to evaluate how hybridization may influence the behaviour, dispersal, and spread of an invasive species introgressive complex. In order to investigate the role hybrids may have in the invasion ecology of bigheaded carps, we examined the distribution, movements, and environmental cues for movement of two invasive fishes and their hybrids in the Illinois River (USA). \n3.\tEarly generation hybrids (e.g., F1,F2, and first generation backcross individuals) composed a greater proportion of the population at the invasion front where abundances of bigheaded carp were low. A greater proportion of early hybrids passed through dams upstream towards the invasion front than did other hybrids and parental species. \n4.\tThe movements and environmental cues for movement of late-generation backcrosses (more genetically similar to parental genotype) were not different from the parental species with which they shared the most alleles. Although the direction of the relationship between movement and environment was sometimes different for the parental species and associated advanced generation hybrids, these results indicate that management for parental species will also affect most hybrids. \n5.\tAlthough early generation hybrids are rare, our results indicate they may disperse towards low-density population zones (i.e., invasion fronts) or are produced at greater frequency in low density areas. These rare hybrids have the potential to produce a variety of unique genetic combinations that could result in more rapid adaptation of a non-native population to their invaded range potentially facilitating the establishment of invasive species.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13461","usgsCitation":"Coulter, A.A., Brey, M.K., Lamer, J.T., Whitledge, G.W., and Garvey, J.E., 2019, Early generation hybrids may drive range expansion of two invasive fishes: Freshwater Biology, v. 65, no. 4, p. 716-730, https://doi.org/10.1111/fwb.13461.","productDescription":"15 p.","startPage":"716","endPage":"730","ipdsId":"IP-107115","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":373005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.366031,42.500274],[-88.786681,42.491983],[-88.115285,42.496219],[-87.800561,42.49192],[-87.79823,42.473054],[-87.80537,42.384721],[-87.820858,42.361584],[-87.834769,42.301522],[-87.828569,42.269922],[-87.800066,42.208024],[-87.741662,42.128227],[-87.712206,42.096455],[-87.682359,42.075729],[-87.671462,42.058334],[-87.668982,42.029142],[-87.630953,41.933132],[-87.624052,41.904232],[-87.611659,41.892216],[-87.616537,41.882396],[-87.616251,41.868933],[-87.60945,41.845233],[-87.600549,41.826833],[-87.580948,41.804334],[-87.576347,41.786034],[-87.560646,41.766034],[-87.542845,41.752135],[-87.530745,41.748235],[-87.524141,41.72399],[-87.526376,40.491574],[-87.533227,39.883127],[-87.531646,39.347888],[-87.544013,39.352907],[-87.5544,39.340488],[-87.578331,39.340343],[-87.589084,39.333831],[-87.600397,39.312904],[-87.597545,39.296388],[-87.61005,39.282232],[-87.605543,39.261122],[-87.593486,39.247452],[-87.583535,39.243579],[-87.574558,39.218404],[-87.588614,39.197824],[-87.620796,39.17479],[-87.640435,39.166727],[-87.64599,39.1449],[-87.643145,39.128562],[-87.632245,39.118702],[-87.630376,39.104305],[-87.619134,39.100557],[-87.613513,39.085568],[-87.596373,39.079639],[-87.572588,39.057286],[-87.575027,39.034062],[-87.569696,39.019413],[-87.579117,39.001607],[-87.578319,38.988786],[-87.529496,38.971925],[-87.512187,38.954417],[-87.518826,38.923205],[-87.527645,38.907688],[-87.544089,38.895093],[-87.553384,38.863344],[-87.525893,38.848795],[-87.521681,38.826576],[-87.527342,38.818121],[-87.496537,38.778571],[-87.496494,38.742728],[-87.516707,38.716333],[-87.519609,38.697198],[-87.531231,38.684036],[-87.593678,38.667402],[-87.62012,38.639489],[-87.627348,38.60544],[-87.62389,38.593984],[-87.637752,38.588512],[-87.651529,38.568166],[-87.650704,38.55624],[-87.660732,38.541092],[-87.653802,38.517382],[-87.657084,38.507169],[-87.714047,38.47988],[-87.739522,38.475069],[-87.74317,38.459019],[-87.730134,38.446518],[-87.74104,38.435576],[-87.745254,38.408996],[-87.779996,38.370842],[-87.806075,38.363143],[-87.822721,38.346912],[-87.832723,38.324853],[-87.831972,38.307241],[-87.838243,38.29375],[-87.853046,38.289264],[-87.875476,38.301376],[-87.88041,38.299581],[-87.887849,38.285299],[-87.908223,38.274012],[-87.92168,38.289712],[-87.928858,38.292404],[-87.938727,38.289264],[-87.952125,38.273763],[-87.945904,38.256966],[-87.950838,38.247097],[-87.960225,38.237118],[-87.975511,38.232742],[-87.982688,38.221527],[-87.984234,38.20996],[-87.975819,38.197834],[-87.9595,38.184376],[-87.928858,38.168594],[-87.922577,38.160071],[-87.92168,38.148407],[-87.945472,38.126616],[-87.974272,38.121981],[-87.999734,38.100857],[-87.998389,38.090091],[-87.984931,38.069008],[-87.990314,38.056447],[-88.020369,38.046578],[-88.02979,38.025046],[-88.012574,37.977062],[-88.012929,37.966544],[-88.036124,37.942746],[-88.044145,37.926805],[-88.031584,37.901685],[-88.033378,37.894059],[-88.054462,37.877461],[-88.058499,37.865349],[-88.053116,37.847854],[-88.043247,37.836639],[-88.051771,37.813761],[-88.045939,37.807481],[-88.029382,37.803601],[-88.02803,37.799224],[-88.035827,37.791917],[-88.042602,37.76712],[-88.059588,37.742608],[-88.122412,37.709685],[-88.151646,37.675098],[-88.160187,37.657592],[-88.156827,37.632801],[-88.142225,37.603737],[-88.139973,37.586451],[-88.13341,37.574273],[-88.105585,37.55618],[-88.088049,37.535124],[-88.069018,37.525297],[-88.061342,37.505327],[-88.064234,37.484548],[-88.072386,37.483563],[-88.087664,37.471059],[-88.132628,37.471555],[-88.281667,37.452596],[-88.312585,37.440591],[-88.333183,37.42721],[-88.348405,37.410726],[-88.365471,37.401663],[-88.408808,37.425216],[-88.450127,37.411717],[-88.470224,37.396255],[-88.476592,37.386875],[-88.484462,37.345609],[-88.515939,37.284043],[-88.506942,37.266656],[-88.509328,37.26213],[-88.487277,37.244077],[-88.471753,37.220155],[-88.447764,37.203527],[-88.431488,37.160298],[-88.424403,37.152428],[-88.444605,37.098601],[-88.458948,37.073796],[-88.504437,37.065265],[-88.545403,37.070003],[-88.576718,37.085852],[-88.589207,37.099655],[-88.625889,37.119458],[-88.693983,37.141155],[-88.732105,37.143956],[-88.80572,37.188595],[-88.916934,37.224291],[-88.942111,37.228811],[-88.98326,37.228685],[-89.029981,37.211144],[-89.076221,37.175125],[-89.092934,37.156439],[-89.111189,37.119052],[-89.134931,37.103278],[-89.14132,37.093865],[-89.154504,37.088907],[-89.168087,37.074218],[-89.181369,37.046305],[-89.178975,37.020928],[-89.166447,37.003337],[-89.132685,36.9822],[-89.170008,36.970298],[-89.185491,36.973518],[-89.192097,36.979995],[-89.200793,37.016164],[-89.234053,37.037277],[-89.25493,37.072014],[-89.259936,37.064071],[-89.307726,37.069654],[-89.310819,37.057897],[-89.304752,37.047565],[-89.277715,37.03614],[-89.260003,37.023288],[-89.257608,37.015496],[-89.263527,37.00005],[-89.278628,36.98867],[-89.29213,36.992189],[-89.322982,37.01609],[-89.378277,37.039605],[-89.385434,37.05513],[-89.375712,37.080505],[-89.37871,37.094586],[-89.38805,37.107481],[-89.41173,37.122507],[-89.42558,37.138235],[-89.461862,37.199517],[-89.4675,37.221844],[-89.458246,37.247066],[-89.470525,37.253357],[-89.488728,37.251507],[-89.517032,37.28192],[-89.511842,37.310825],[-89.489005,37.333368],[-89.447556,37.340475],[-89.432836,37.347056],[-89.421054,37.387668],[-89.439769,37.4372],[-89.475525,37.471388],[-89.516447,37.535558],[-89.521925,37.560735],[-89.519808,37.582748],[-89.486062,37.580853],[-89.477548,37.585885],[-89.475932,37.592998],[-89.517718,37.641217],[-89.51204,37.680985],[-89.516685,37.692762],[-89.531427,37.700334],[-89.583316,37.713261],[-89.596566,37.732886],[-89.615586,37.74235],[-89.615933,37.748184],[-89.64953,37.745498],[-89.663352,37.750052],[-89.667993,37.759484],[-89.66038,37.786296],[-89.669644,37.799922],[-89.71748,37.825724],[-89.739873,37.84693],[-89.754104,37.846358],[-89.779828,37.853896],[-89.786369,37.851734],[-89.80036,37.868625],[-89.798041,37.879655],[-89.842649,37.905196],[-89.862949,37.896906],[-89.881475,37.879591],[-89.901832,37.869822],[-89.923185,37.870672],[-89.950594,37.881526],[-89.973642,37.917661],[-89.974918,37.926719],[-89.959646,37.940196],[-89.947429,37.940336],[-89.932467,37.947497],[-89.925085,37.960021],[-89.933797,37.959143],[-89.942099,37.970121],[-89.997103,37.963225],[-90.03241,37.995258],[-90.051357,38.003584],[-90.057269,38.014362],[-90.08826,38.015772],[-90.11052,38.026547],[-90.126194,38.040702],[-90.126396,38.054897],[-90.130788,38.062341],[-90.158533,38.074735],[-90.17222,38.069636],[-90.218708,38.094365],[-90.243116,38.112669],[-90.274928,38.157615],[-90.290765,38.170453],[-90.331554,38.18758],[-90.356176,38.217501],[-90.373929,38.281853],[-90.370819,38.333554],[-90.349743,38.377609],[-90.295316,38.426753],[-90.285215,38.443453],[-90.260314,38.528352],[-90.224212,38.575051],[-90.196011,38.594451],[-90.18451,38.611551],[-90.17801,38.63375],[-90.18111,38.65955],[-90.18641,38.67475],[-90.20921,38.70275],[-90.21141,38.72135],[-90.20521,38.73215],[-90.176309,38.754449],[-90.166409,38.772649],[-90.123107,38.798048],[-90.109107,38.837448],[-90.113327,38.849306],[-90.19521,38.886748],[-90.223041,38.907389],[-90.250248,38.919344],[-90.309454,38.92412],[-90.395816,38.960037],[-90.440078,38.967364],[-90.450792,38.967764],[-90.472122,38.958838],[-90.482419,38.94446],[-90.486974,38.925982],[-90.500117,38.910408],[-90.54403,38.87505],[-90.583388,38.86903],[-90.628485,38.891617],[-90.639917,38.908272],[-90.663372,38.928042],[-90.675949,38.96214],[-90.678193,38.991851],[-90.713629,39.053977],[-90.682744,39.088348],[-90.681086,39.10059],[-90.686051,39.117785],[-90.707902,39.15086],[-90.717113,39.213912],[-90.72996,39.255894],[-90.751599,39.265432],[-90.793461,39.309498],[-90.816851,39.320496],[-90.8475,39.345272],[-90.893777,39.367343],[-90.904862,39.379403],[-90.928745,39.387544],[-90.940766,39.403984],[-90.993789,39.422959],[-91.03827,39.448436],[-91.059439,39.46886],[-91.064305,39.494643],[-91.079769,39.507728],[-91.100307,39.538695],[-91.153628,39.548248],[-91.168419,39.564928],[-91.174232,39.591975],[-91.181936,39.602677],[-91.229317,39.620853],[-91.27614,39.665759],[-91.302485,39.679631],[-91.367753,39.729029],[-91.369953,39.745042],[-91.365125,39.758723],[-91.363444,39.792804],[-91.377971,39.811273],[-91.432919,39.840554],[-91.446385,39.870394],[-91.443513,39.893583],[-91.420878,39.914865],[-91.41936,39.927717],[-91.463683,39.981845],[-91.494878,40.036453],[-91.489606,40.057435],[-91.509245,40.121876],[-91.511749,40.147091],[-91.508324,40.156326],[-91.513079,40.178537],[-91.504477,40.198262],[-91.505828,40.238839],[-91.490524,40.259498],[-91.492727,40.278217],[-91.46214,40.342414],[-91.439342,40.366569],[-91.415695,40.381381],[-91.381958,40.387632],[-91.372921,40.399108],[-91.373721,40.417891],[-91.381769,40.442555],[-91.364915,40.484168],[-91.364211,40.500043],[-91.384531,40.530948],[-91.404125,40.539127],[-91.405241,40.554641],[-91.379752,40.57445],[-91.359873,40.601805],[-91.339719,40.613488],[-91.306524,40.626231],[-91.253074,40.637962],[-91.18698,40.637297],[-91.123928,40.669152],[-91.110927,40.703262],[-91.115735,40.725168],[-91.110424,40.745528],[-91.091703,40.779708],[-91.097649,40.805575],[-91.092993,40.821079],[-91.05643,40.848387],[-91.044653,40.868356],[-91.021562,40.884021],[-91.009536,40.900565],[-90.962916,40.924957],[-90.952233,40.954047],[-90.958142,40.979767],[-90.945949,41.006495],[-90.942253,41.034702],[-90.94899,41.07025],[-90.946259,41.094734],[-90.99496,41.160624],[-91.007586,41.166183],[-91.027214,41.163373],[-91.041536,41.166138],[-91.07298,41.207151],[-91.112333,41.239003],[-91.114186,41.250029],[-91.08688,41.294371],[-91.074841,41.305578],[-91.06652,41.365246],[-91.05158,41.385283],[-91.04589,41.414085],[-91.027787,41.423603],[-90.979815,41.434321],[-90.930016,41.421404],[-90.846558,41.455141],[-90.750142,41.449632],[-90.655839,41.462132],[-90.605937,41.494232],[-90.602137,41.506032],[-90.595237,41.511032],[-90.567236,41.517532],[-90.556235,41.524232],[-90.540935,41.526133],[-90.500633,41.518033],[-90.461432,41.523533],[-90.41283,41.565333],[-90.343228,41.587833],[-90.339528,41.598633],[-90.343452,41.646959],[-90.334525,41.679559],[-90.313435,41.698082],[-90.317668,41.72269],[-90.310708,41.742214],[-90.278633,41.767358],[-90.181973,41.80707],[-90.181901,41.843216],[-90.153584,41.906614],[-90.152659,41.933058],[-90.163847,41.944934],[-90.164135,41.956178],[-90.146225,41.981329],[-90.140061,42.003252],[-90.150916,42.02944],[-90.163446,42.040407],[-90.168358,42.075779],[-90.161504,42.098912],[-90.162895,42.116718],[-90.17097,42.125198],[-90.190452,42.125779],[-90.201404,42.130937],[-90.207421,42.149109],[-90.216107,42.15673],[-90.250129,42.171469],[-90.282173,42.178846],[-90.328273,42.201047],[-90.356964,42.205445],[-90.391108,42.225473],[-90.400653,42.239293],[-90.419326,42.254467],[-90.430884,42.27823],[-90.415937,42.322699],[-90.419027,42.328505],[-90.477279,42.383794],[-90.555018,42.416138],[-90.560439,42.432897],[-90.567968,42.440389],[-90.606328,42.451505],[-90.646727,42.471904],[-90.654027,42.478503],[-90.656527,42.489203],[-90.640927,42.508302],[-90.07367,42.508275],[-89.366031,42.500274]]]},\"properties\":{\"name\":\"Illinois\",\"nation\":\"USA  \"}}]}","volume":"65","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Coulter, Alison A.","contributorId":187652,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":784139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":784138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":784140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":784141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garvey, James E.","contributorId":178007,"corporation":false,"usgs":false,"family":"Garvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":784142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70214610,"text":"70214610 - 2019 - The burning of biocrusts facilitates the emergence of a bare soil community of poorly-connected chemoheterotrophic bacteria with depressed ecosystem services","interactions":[],"lastModifiedDate":"2020-09-30T13:25:08.224963","indexId":"70214610","displayToPublicDate":"2019-12-19T08:17:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"The burning of biocrusts facilitates the emergence of a bare soil community of poorly-connected chemoheterotrophic bacteria with depressed ecosystem services","docAbstract":"<div class=\"JournalAbstract\"><p>Wildfires destabilize biocrust, requiring decades for most biological constituents to regenerate, but bacteria may recover quickly and mitigate the detrimental consequences of burnt soils. To evaluate the short-term recovery of biocrust bacteria, we tracked shifts in bacterial community form and function in Cyanobacteria/lichen-dominated (shrub interspaces) and Cyanobacteria/moss-dominated (beneath<span>&nbsp;</span><i>Artemisia tridentata</i>) biocrusts 1 week, 2 months, and 1 year following a large-scale burn manipulations in a cold desert (Utah, USA). We found no evidence of the burned bacterial community recovering to a burgeoning biocrust. The foundational biocrust phyla, Cyanobacteria, dominated by<span>&nbsp;</span><i>Microcoleus viginatus</i><span>&nbsp;</span>(Microcoleaceae), disappeared from burned soils creating communities void of photosynthetic taxa. One year after the fire, the burned biocrust constituents had eroded away and the bare soils supported the formation of a convergent community of chemoheterotrophic copiotrophs regardless of location. The emergent community was dominated by a previously rare<span>&nbsp;</span><i>Planococcus</i><span>&nbsp;</span>species (family Planococcaceae, Firmicutes) and taxa in the Cellulomonadaceae (Actinobacteria), and Oxalobacteraceae (Betaproteobacteria). Previously burnt soils maintained similar levels of bacterial biomass, alpha diversity, and richness as unburned biocrusts, but supported diffuse, poorly-interconnected communities with 75% fewer species interactions. Nitrogen fixation declined at least 3.5-fold in the burnt soils but ammonium concentrations continued to rise through the year, suggesting that the exhaustion of organic C released from the fire, and not N, may diminish the longevity of the emergent community. Our results demonstrate that biocrust bacteria may recover rapidly after burning, albeit along a different community trajectory, as rare bacteria become dominant, species interconnectedness diminishes, and ecosystem services fail to rebound.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2019.00467","usgsCitation":"Aanderud, Z.T., Bahr, J., Robinson, D.M., Belnap, J., Campbell, T., Gill, R., McMillian, B., and St. Clair, S.B., 2019, The burning of biocrusts facilitates the emergence of a bare soil community of poorly-connected chemoheterotrophic bacteria with depressed ecosystem services: Frontiers in Ecology and Evolution, v. 7, 467, 14 p., https://doi.org/10.3389/fevo.2019.00467.","productDescription":"467, 14 p.","ipdsId":"IP-112582","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00467","text":"Publisher Index Page"},{"id":378894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Aanderud, Zachary T.","contributorId":176977,"corporation":false,"usgs":false,"family":"Aanderud","given":"Zachary","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":800214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bahr, Jason","contributorId":241946,"corporation":false,"usgs":false,"family":"Bahr","given":"Jason","email":"","affiliations":[],"preferred":false,"id":800215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, David M.","contributorId":241947,"corporation":false,"usgs":false,"family":"Robinson","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":800216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":800217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Tayte","contributorId":176980,"corporation":false,"usgs":false,"family":"Campbell","given":"Tayte","email":"","affiliations":[],"preferred":false,"id":800218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gill, Richard 0000-0001-8981-0621","orcid":"https://orcid.org/0000-0001-8981-0621","contributorId":196799,"corporation":false,"usgs":false,"family":"Gill","given":"Richard","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":800219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McMillian, Brock","contributorId":241948,"corporation":false,"usgs":false,"family":"McMillian","given":"Brock","email":"","affiliations":[],"preferred":false,"id":800220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"St. Clair, Samuel B","contributorId":152583,"corporation":false,"usgs":false,"family":"St. Clair","given":"Samuel","email":"","middleInitial":"B","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":800221,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206094,"text":"sir20195121 - 2019 - Simulated water-table and pond-level responses to proposed public water-supply withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts","interactions":[],"lastModifiedDate":"2019-12-19T13:54:34","indexId":"sir20195121","displayToPublicDate":"2019-12-18T11:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5121","displayTitle":"Simulated Water-Table and Pond-Level Responses to Proposed Public Water-Supply Withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts","title":"Simulated water-table and pond-level responses to proposed public water-supply withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts","docAbstract":"<p>The glacial kettle ponds in the Hyannis Ponds Wildlife Management Area in Barnstable, Massachusetts, support a community of rare and endangered plants. The ponds are hydraulically connected to the unconfined aquifer that underlies Cape Cod. The plants are adapted to the rise and fall of water levels in the ponds as the water table fluctuates in response to seasonal and year-to-year natural changes in recharge. Pumping from wells for public water supply and recharge of wastewater at water pollution control facilities and septic systems also affect groundwater levels. The Hyannis Water System has proposed to install two additional wells in the Hyannis Ponds Wildlife Management Area and adjust rates of withdrawals and recharge of wastewater return flows for the municipal system that serves the village of Hyannis in the town of Barnstable. The proposal has raised concerns that pumping from the proposed wells could cause long-term average changes in pond levels that could adversely affect the critical pond-shore plant habitat.</p><p>An available three-dimensional steady-state groundwater-flow model was used to simulate the hydrologic effects of nine pumping and wastewater return-flow scenarios prepared by the Hyannis Water System. These effects were quantified by comparison of water levels simulated for the scenarios to water levels simulated for a reference condition based on 2015 withdrawal and wastewater return-flow rates. Maps of water-level responses were prepared to show the effects of pumping from a single well at different locations in the Hyannis Ponds Wildlife Management Area on the water levels of six ponds. Steady-state simulations of the nine scenarios indicated that the shapes of the simulated water-table contours near the wildlife management area changed only slightly at the regional scale, with the largest shifts near the wildlife management area and the Barnstable Water Pollution Control Facility. The simulated changes in pond levels at 10 ponds of interest for the nine scenarios relative to the simulated pond levels for the 2015 reference condition ranged from small increases (less than 0.1 foot) in one pond each in two scenarios to declines (drawdowns) of 1.03–1.11 feet at three ponds in one scenario. Water levels at the Barnstable Water Pollution Control Facility increased because part of the increase in total withdrawals from the Hyannis Water System wells was recharged as wastewater at the water pollution control facility.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195121","collaboration":"Prepared in cooperation with the Town of Barnstable","usgsCitation":"LeBlanc, D.R., McCobb, T.D., and Barbaro, J.R., 2019, Simulated water-table and pond-level responses to proposed public water-supply withdrawals in the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2019–5121, 32 p., https://doi.org/10.3133/sir20195121.","productDescription":"Report: vii, 32 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-109032","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":370347,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5121/sir20195121.pdf","text":"Report","size":"3.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5121"},{"id":370346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5121/coverthb.jpg"},{"id":370348,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U5AKLC","text":"USGS data release","linkHelpText":"MODFLOW2005 groundwater-flow model used to simulate water-supply pumping scenarios near the Hyannis Ponds Wildlife Management Area, Barnstable, Massachusetts"}],"country":"United States","state":"Massachusetts","city":"Barnstable","otherGeospatial":"Hyannis Ponds Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.28074264526367,\n              41.67297593102651\n            ],\n            [\n              -70.26091575622559,\n              41.67297593102651\n            ],\n            [\n              -70.26091575622559,\n              41.68771986229327\n            ],\n            [\n              -70.28074264526367,\n              41.68771986229327\n            ],\n            [\n              -70.28074264526367,\n              41.67297593102651\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>331 Commerce Way, Suite 2<br>Pembroke, NH 03275</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Pumping and Wastewater Return-Flow Scenarios</li><li>Groundwater Model and Simulation Approach</li><li>Simulated Pond-Level and Water-Table Responses</li><li>Limitations of the Simulations</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Modifications to the Groundwater-Flow Model and Results of the Model Recalibration</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-12-18","noUsgsAuthors":false,"publicationDate":"2019-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":773558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":219908,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":219909,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773560,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}