{"pageNumber":"376","pageRowStart":"9375","pageSize":"25","recordCount":165227,"records":[{"id":70262380,"text":"70262380 - 2022 - Environmental drivers of biseasonal anthrax outbreak dynamics in two multihost savanna systems","interactions":[],"lastModifiedDate":"2025-01-23T16:47:51.012419","indexId":"70262380","displayToPublicDate":"2022-04-08T10:41:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of biseasonal anthrax outbreak dynamics in two multihost savanna systems","docAbstract":"<p><span>Environmental factors are common forces driving infectious disease dynamics. We compared interannual and seasonal patterns of anthrax infections in two multihost systems in southern Africa: Etosha National Park, Namibia, and Kruger National Park, South Africa. Using several decades of mortality data from each system, we assessed possible transmission mechanisms behind anthrax dynamics, examining (1) within- and between-species temporal case correlations and (2) associations between anthrax mortalities and environmental factors, specifically rainfall and the Normalized Difference Vegetation Index (NDVI), with empirical dynamic modeling. Anthrax cases in Kruger had wide interannual variation in case numbers, and large outbreaks seemed to follow a roughly decadal cycle. In contrast, outbreaks in Etosha were smaller in magnitude and occurred annually. In Etosha, the host species commonly affected remained consistent over several decades, although plains zebra (</span><i>Equus quagga</i><span>) became relatively more dominant. In Kruger, turnover of the main host species occurred after the 1990s, where the previously dominant host species, greater kudu (</span><i>Tragelaphus strepsiceros</i><span>), was replaced by impala (</span><i>Aepyceros melampus</i><span>). In both parks, anthrax infections showed two seasonal peaks, with each species having only one peak in a year. Zebra, springbok (</span><i>Antidorcas marsupialis</i><span>), wildebeest (</span><i>Connochaetes taurinus</i><span>), and impala cases peaked in wet seasons, while elephant (</span><i>Loxodonta africana</i><span>), kudu, and buffalo (</span><i>Syncerus caffer</i><span>) cases peaked in dry seasons. For common host species shared between the two parks, anthrax mortalities peaked in the same season in both systems. Among host species with cases peaking in the same season, anthrax mortalities were mostly synchronized, which implies&nbsp;similar transmission mechanisms or shared sources of exposure. Between seasons, outbreaks in one species may contribute to more cases in another species in the following season. Higher vegetation greenness was associated with more zebra and springbok anthrax mortalities in Etosha but fewer elephant cases in Kruger. These results suggest that host behavioral responses to changing environmental conditions may affect anthrax transmission risk, with differences in transmission mechanisms leading to multihost biseasonal outbreaks. This study reveals the dynamics and potential environmental drivers of anthrax in two savanna systems, providing a better understanding of factors driving biseasonal dynamics and outbreak variation among locations.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1526","usgsCitation":"Yen-Hua Huang, Kyrre Kausrud, Ayesha Hassim, Sunday O. Ochai, van Schalkwyk, O., Edgar H. Dekker, Alexander Buyantuev, Claudine C. Cloete, J. Werner Kilian, Mfune, J.K., Kamath, P., van Heerden, H., and Turner, W.C., 2022, Environmental drivers of biseasonal anthrax outbreak dynamics in two multihost savanna systems: Ecological Monographs, v. 92, no. 4, e1526, 24 p., https://doi.org/10.1002/ecm.1526.","productDescription":"e1526, 24 p.","ipdsId":"IP-132491","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481090,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1526","text":"External Repository"},{"id":481006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Namibia, South Africa","otherGeospatial":"Etosha National Park, Kruger National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13.99697075011565,\n              -17.9704803255822\n            ],\n            [\n              14.042362443293712,\n              -19.592355004499595\n            ],\n            [\n              17.575676967960106,\n              -19.575250462094317\n            ],\n            [\n              17.575676967960106,\n              -17.953206628620634\n            ],\n            [\n              13.99697075011565,\n              -17.9704803255822\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              30.65264945923775,\n              -22.32856930947861\n            ],\n            [\n              31.245229473428566,\n              -25.55857896070789\n            ],\n            [\n              32.07283709158796,\n              -25.569715149900304\n            ],\n            [\n              31.896147080990332,\n              -23.97674400909702\n            ],\n            [\n              31.31940421620908,\n              -22.35940535120622\n            ],\n            [\n              30.65264945923775,\n              -22.32856930947861\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Yen-Hua Huang","contributorId":349084,"corporation":false,"usgs":false,"family":"Yen-Hua Huang","affiliations":[{"id":83418,"text":"Wisconsin Cooperative Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":923989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyrre Kausrud","contributorId":349085,"corporation":false,"usgs":false,"family":"Kyrre Kausrud","affiliations":[{"id":61713,"text":"Norwegian Veterinary Institute","active":true,"usgs":false}],"preferred":false,"id":923990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayesha Hassim","contributorId":349086,"corporation":false,"usgs":false,"family":"Ayesha Hassim","affiliations":[{"id":83425,"text":"Department of Veterinary Tropical Diseases","active":true,"usgs":false}],"preferred":false,"id":923991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sunday O. Ochai","contributorId":349088,"corporation":false,"usgs":false,"family":"Sunday O. Ochai","affiliations":[{"id":61713,"text":"Norwegian Veterinary Institute","active":true,"usgs":false}],"preferred":false,"id":923992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Schalkwyk, O. Louis","contributorId":349092,"corporation":false,"usgs":false,"family":"van Schalkwyk","given":"O. Louis","affiliations":[{"id":83426,"text":"Department of Migration","active":true,"usgs":false}],"preferred":false,"id":923993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar H. Dekker","contributorId":349093,"corporation":false,"usgs":false,"family":"Edgar H. Dekker","affiliations":[{"id":83429,"text":"Office of the State Veterinarian","active":true,"usgs":false}],"preferred":false,"id":923994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alexander Buyantuev","contributorId":349094,"corporation":false,"usgs":false,"family":"Alexander Buyantuev","affiliations":[{"id":83430,"text":"Department of Geography and Planning","active":true,"usgs":false}],"preferred":false,"id":923995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Claudine C. Cloete","contributorId":349095,"corporation":false,"usgs":false,"family":"Claudine C. Cloete","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":923996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"J. Werner Kilian","contributorId":349096,"corporation":false,"usgs":false,"family":"J. Werner Kilian","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":923997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mfune, John K.E.","contributorId":287158,"corporation":false,"usgs":false,"family":"Mfune","given":"John","email":"","middleInitial":"K.E.","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":924921,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kamath, Pauline L.","contributorId":287148,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924922,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van Heerden, Henriette","contributorId":343077,"corporation":false,"usgs":false,"family":"van Heerden","given":"Henriette","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924923,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923988,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70255200,"text":"70255200 - 2022 - Taming the temperature: Sagebrush songbirds modulate microclimate via nest-site selection","interactions":[],"lastModifiedDate":"2024-06-14T13:38:23.977482","indexId":"70255200","displayToPublicDate":"2022-04-08T08:33:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Taming the temperature: Sagebrush songbirds modulate microclimate via nest-site selection","docAbstract":"<p><span>Understanding species’ responses to temperature via behavior, and the factors affecting the extent of behavioral responses, is a critical and timely endeavor given the rapid pace at which the climate is changing. The young of altricial songbirds are particularly sensitive to temperature, and parents may modulate temperatures at nests via selection of nest sites, albeit to a largely unknown extent. We examined whether sagebrush-obligate songbirds, that reproduce within an open ecosystem with wide temperature fluctuations and span a range of body sizes, selected their nest sites on the basis of temperature. We further investigated whether nest predation risk and ambient conditions modulated temperature-based choices. We placed temperature loggers at nest sites and in unused but available nest niches and nest shrubs along a known predation-risk gradient and used nearby weather stations to determine ambient temperatures. The two smaller-bodied birds, Brewer’s Sparrow (</span><i>Spizella breweri</i><span>) and Sagebrush Sparrow (</span><i>Artemisiospiza nevadensis</i><span>), selected nest shrubs and niches that were warmer and less variable relative to unused sites whereas the larger bodied species, Sage Thrashers (</span><i>Oreoscoptes montanus</i><span>), did not. Brewer’s Sparrows and Sage Thrashers dampened selection for warmer nest sites when temperatures experienced during the nest-site prospecting period were warmer. None of the three species altered nest-site selection with respect to temperature in response to ambient temperature variability or our index of nest predation risk. The microhabitat characteristics that most influenced temperatures at nests varied across species. Our results suggest that songbirds can modulate temperatures at nests to some extent, and such responses can vary depending on the conditions experienced prior to nest initiation. Responses also varied across species, likely reflecting different physiological tolerances. The extent to which breeding birds will be able to continue to proximately influence temperature via nest-site choices likely will depend on the extent and rate of future climatic shifts.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithology/ukac004","usgsCitation":"Scherr, T.M., and Chalfoun, A.D., 2022, Taming the temperature: Sagebrush songbirds modulate microclimate via nest-site selection: Ornithology, v. 139, no. 2, ukac004, 13 p., https://doi.org/10.1093/ornithology/ukac004.","productDescription":"ukac004, 13 p.","ipdsId":"IP-133324","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukac004","text":"Publisher Index Page"},{"id":430202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Scherr, Tayler M.","contributorId":338978,"corporation":false,"usgs":false,"family":"Scherr","given":"Tayler","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":903719,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231611,"text":"70231611 - 2022 - Adaptation strategies and approaches for managing fire in a changing climate","interactions":[],"lastModifiedDate":"2022-05-17T12:28:08.785742","indexId":"70231611","displayToPublicDate":"2022-04-08T07:23:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5811,"text":"Climate","active":true,"publicationSubtype":{"id":10}},"title":"Adaptation strategies and approaches for managing fire in a changing climate","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">As the effects of climate change accumulate and intensify, resource managers juggle existing goals and new mandates to operationalize adaptation. Fire managers contend with the direct effects of climate change on resources in addition to climate-induced disruptions to fire regimes and subsequent ecosystem effects. In systems stressed by warming and drying, increased fire activity amplifies the pace of change and scale of severe disturbance events, heightening the urgency for management action. Fire managers are asked to integrate information on climate impacts with their professional expertise to determine how to achieve management objectives in a changing climate with altered fire regimes. This is a difficult task, and managers need support as they incorporate climate adaptation into planning and operations. We present a list of adaptation strategies and approaches specific to fire and climate based on co-produced knowledge from a science–management partnership and pilot-tested in a two-day workshop with natural resource managers and regional stakeholders. This “menu” is a flexible and useful tool for fire managers who need to connect the dots between fire ecology, climate science, adaptation intent, and management implementation. It was created and tested as part of an adaptation framework used widely across the United States and should be applicable and useful in many fire-prone forest ecosystems.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/cli10040058","usgsCitation":"Sample, M., Thode, A., Peterson, C., Gallagher, M., Flatley, W.T., Friggens, M., Evans, A., Loehman, R.A., Hedwall, S., Brandt, L.A., Janowiak, M., and Swanston, C.W., 2022, Adaptation strategies and approaches for managing fire in a changing climate: Climate, v. 10, no. 4, 58, 33 p., https://doi.org/10.3390/cli10040058.","productDescription":"58, 33 p.","ipdsId":"IP-138302","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":448188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/cli10040058","text":"Publisher Index Page"},{"id":400689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Sample, Martha","contributorId":291805,"corporation":false,"usgs":false,"family":"Sample","given":"Martha","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":843109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thode, Andrea E.","contributorId":31896,"corporation":false,"usgs":false,"family":"Thode","given":"Andrea E.","affiliations":[],"preferred":false,"id":843110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Courtney","contributorId":291807,"corporation":false,"usgs":false,"family":"Peterson","given":"Courtney","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":843111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallagher, Michael","contributorId":217833,"corporation":false,"usgs":false,"family":"Gallagher","given":"Michael","email":"","affiliations":[{"id":39697,"text":"Cooperative Institute for Research in Environmental Sciences, NOAA Physical Sciences Division, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":843112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flatley, William T.","contributorId":204190,"corporation":false,"usgs":false,"family":"Flatley","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":16964,"text":"University of Central Arkansas","active":true,"usgs":false}],"preferred":false,"id":843113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friggens, Megan","contributorId":219865,"corporation":false,"usgs":false,"family":"Friggens","given":"Megan","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":843114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Alexander","contributorId":219867,"corporation":false,"usgs":false,"family":"Evans","given":"Alexander","email":"","affiliations":[{"id":40083,"text":"The Forest Guild","active":true,"usgs":false}],"preferred":false,"id":843115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":843116,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hedwall, Shaula","contributorId":288934,"corporation":false,"usgs":false,"family":"Hedwall","given":"Shaula","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":843117,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brandt, Leslie A.","contributorId":205996,"corporation":false,"usgs":false,"family":"Brandt","given":"Leslie","email":"","middleInitial":"A.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":843118,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Janowiak, Maria","contributorId":178097,"corporation":false,"usgs":false,"family":"Janowiak","given":"Maria","affiliations":[],"preferred":false,"id":843119,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Swanston, Christopher W.","contributorId":206000,"corporation":false,"usgs":false,"family":"Swanston","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":843120,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70230589,"text":"70230589 - 2022 - Olivine and glass chemistry record cycles of plumbing system recovery after summit collapse events at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2022-04-18T11:45:32.438396","indexId":"70230589","displayToPublicDate":"2022-04-08T06:42:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10561,"text":"Journal of Volcanology and Geothermal Research (JVGR)","active":true,"publicationSubtype":{"id":10}},"title":"Olivine and glass chemistry record cycles of plumbing system recovery after summit collapse events at Kīlauea Volcano, Hawai‘i","docAbstract":"<p>The eruptive activity of Kīlauea Volcano (Hawai‘i) in the past 2500 years has alternated between centuries-long periods dominated either by explosive or effusive eruptions. The onset of explosive periods appears to be marked by caldera collapse events at the volcano's summit accompanied by draining of Kīlauea's magmatic plumbing system. Here we leverage &gt;1800 olivine forsterite (Fo) contents, &gt;900 glass MgO contents, and estimated magma supply rates from the past six centuries to describe the relationships between summit collapse and the composition of erupted material. On a first order basis, the major element chemistry of the centuries-long eruptive periods largely originates from fundamental differences between fractional crystallization of shallowly stored magmas during high-supply effusive-dominated periods versus little evolution of mafic recharge magmas during low-supply explosive-dominated periods. The modern effusive period (1820s-present) is dominated by relatively evolved olivine forsterite contents (Fo81–82) for Kīlauea, which is interpreted to reflect a buffered crustal reservoir system in which shallow storage and fractional crystallization control the composition of magmas. In contrast, olivine crystals from the explosive Keanakāko‘i Tephra (1500 - early 1800s C.E.) are dominated by higher olivine forsterite contents (Fo89) which are interpreted to reflect more primitive compositions, are correlated with glass MgO compositions extending to high values (e.g.,11.0 wt%), and show signs of magma mixing (zoned olivine, bimodal Fo populations). These signatures reflect a disrupted reservoir system in which high-MgO recharge melts mix with melts left over from draining of the shallow (&lt;5 km) magma plumbing.</p><p>Superimposed on these explosive-effusive periods are three decades- to centuries long periods of progressively evolving olivine and glass compositions. Eruptions that occur after caldera collapse in ~1500C.E. and smaller scale crater collapse events in 1790 (inferred) and 1924 have heterogeneous olivine populations dominated by ≥Fo88 and typically high MgO glasses. These compositions reflect inefficient mixing of stored and primitive recharge magmas after the disruption of the shallow plumbing system. After these collapses, olivine Fo and glass MgO subsequently evolve to &lt;Fo82 and &lt;7.0 wt% compositions, reflecting the recovery of the crustal plumbing system to an end-member system state characterized by efficient mixing of recharge and stored magmas that serve to buffer the shallow magma reservoirs. These evolved signatures suggest that a mature and buffered reservoir system may be a key condition for significant disruptions of volcanic plumbing systems. Plumbing system recovery is slower following large-scale caldera collapse (hundreds of years) compared to recovery following smaller crater collapse (tens of years), which may be modulated by differences in magma supply rates. Following the 2018 crater collapse olivine populations have high-Fo but glasses are low MgO, suggesting that this collapse might have disrupted shallow magma pathways but not strongly impacted the reservoir(s). Ultimately, olivine and glass major element chemistry record the impacts of caldera and smaller but significant summit crater collapse events at Kīlauea and could be used to provide a framework for better characterizing long-term volcano evolution in Hawai‘i and shield volcanoes elsewhere.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2022.107540","usgsCitation":"Lynn, K.J., and Swanson, D., 2022, Olivine and glass chemistry record cycles of plumbing system recovery after summit collapse events at Kīlauea Volcano, Hawai‘i: Journal of Volcanology and Geothermal Research (JVGR), v. 426, 107540, 10 p., https://doi.org/10.1016/j.jvolgeores.2022.107540.","productDescription":"107540, 10 p.","ipdsId":"IP-136313","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":448192,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2022.107540","text":"Publisher Index Page"},{"id":435888,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HA3PRK","text":"USGS data release","linkHelpText":"Olivine and glass analyses for select eruptions of Kilauea Volcano, Hawai'i"},{"id":398909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.42495727539062,\n              19.23854986079743\n            ],\n            [\n              -155.12832641601562,\n              19.23854986079743\n            ],\n            [\n              -155.12832641601562,\n              19.540378338405777\n            ],\n            [\n              -155.42495727539062,\n              19.540378338405777\n            ],\n            [\n              -155.42495727539062,\n              19.23854986079743\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"426","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":840802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":840803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231405,"text":"70231405 - 2022 - High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS","interactions":[],"lastModifiedDate":"2022-08-02T14:18:07.198108","indexId":"70231405","displayToPublicDate":"2022-04-08T06:32:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Submarine groundwater discharge (SGD) can deliver substantial nutrient and contaminant loads to nearshore coral reefs. Correctly scaling SGD rates from a point source to a reef is generally a linear process involving simplified assumptions on the hydrogeology, bathymetry, and nearshore hydrodynamics that are essential to properly assess SGD scale and impact to individual coral heads. Here, we apply high-resolution SGD techniques to provide information at the scale of individual coral heads in Faga’alu Bay, American Samoa, where focused SGD delivers a plume of freshened and nutrient-rich water directly to the adjacent coral reef. Unoccupied Aerial System-based measurements were used to acquire remotely sensed, calibrated, high-resolution thermal infrared imagery that were coupled with traditional in-situ SGD observations. This approach permits a detailed assessment of SGD and associated nutrient loadings to individual coral heads as a function of time and enables a more realistic method to quantify SGD impact.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00338-022-02245-8","usgsCitation":"Oberle, F.K., Prouty, N.G., Adebayo, S.B., and Storlazzi, C.D., 2022, High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS: Coral Reefs, v. 41, p. 849-854, https://doi.org/10.1007/s00338-022-02245-8.","productDescription":"6 p.","startPage":"849","endPage":"854","ipdsId":"IP-128475","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":435889,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F0LJNC","text":"USGS data release","linkHelpText":"Near-shore seawater-column measurements of excess radon (Rn-222) and water levels, Faga'alu Bay, Tutuila, American Samoa, August 2018"},{"id":400376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"American Samoa","otherGeospatial":"Faga’alu Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              189.30267333984372,\n              -14.306969497825788\n            ],\n            [\n              189.33494567871094,\n              -14.306969497825788\n            ],\n            [\n              189.33494567871094,\n              -14.276361329935783\n            ],\n            [\n              189.30267333984372,\n              -14.276361329935783\n            ],\n            [\n              189.30267333984372,\n              -14.306969497825788\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adebayo, Segun B. 0000-0003-4130-4724","orcid":"https://orcid.org/0000-0003-4130-4724","contributorId":291572,"corporation":false,"usgs":false,"family":"Adebayo","given":"Segun","email":"","middleInitial":"B.","affiliations":[{"id":62720,"text":"Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA 70118","active":true,"usgs":false}],"preferred":false,"id":842518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230180,"text":"sir20225023 - 2022 - Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019","interactions":[],"lastModifiedDate":"2022-04-08T10:58:01.008512","indexId":"sir20225023","displayToPublicDate":"2022-04-07T13:40:00","publicationYear":"2022","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":"2022-5023","displayTitle":"Implementing a Rapid Deployment Bridge Scour Monitoring System in Colorado, 2019","title":"Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Colorado Department of Transportation, installed and operated real-time scour monitoring instrumentation at two bridges in Colorado in 2016 and 2017 to measure streambed elevations in real-time. The instrumentation included acoustic echosounder depth sensors mounted to the bridge substructure units with rigid conduit and fittings. Although functional, the rigid mounting configuration took several days to install at each site, which limits the instrumentation to long-term deployments at previously determined sites. To address this limitation and allow for greater flexibility in bridge selection, a rapid deployment bridge scour monitoring system (RDBSMS) was developed by the U.S. Geological Survey in cooperation with the Colorado Department of Transportation. The RDBSMSs were installed at two other bridges in Colorado in 2019, which were selected by using specific scoring criteria to rank candidate bridges and the potential for high streamflow based on accumulated snowpack. A matrix was developed to rank candidate bridges based on factors including depth, foundation type, average daily traffic, detour route, and scour critical condition. Colorado Department of Transportation bridges F-05-R and P-01-G were selected as the final candidate bridges for installation and testing of the rapid deploy scour monitoring system.</p><p>Bridge F-05-R carries Colorado Highway 13 over the Colorado River near the town of Rifle, Colorado. Because of the misalignment of the pier wall with respect to the river, pier number 4 was instrumented on the left side (looking downstream) to monitor scour conditions. Bridge P-01-G carries U.S. Route 160 over the San Juan River near the Four Corners area in Colorado. Because of misalignment of the pier wall with respect to the river, pier number 4 was instrumented on the right side (looking downstream) to monitor scour conditions. The RDSMSs were installed in approximately 3 hours at each bridge.</p><p>Scour conditions at both bridges were monitored during the snowmelt runoff period in 2019 using the installed RDBSMSs. No major scour events occurred at either structure, but minor scour and fill was measured at each. Sensor performance at F-05-R was excellent, with no missing or erroneous data. Sensor performance at P-01-G was good for most of the period, with some missing and erroneous data during periods of high turbidity.</p><p>Both RDBSMSs were successfully deployed and produced reliable data, demonstrating that both the technology and the installation methods can work in two different riverine environments. Pre-installation of mounting plates would make the installation process faster at flood prone bridges. Having flood prone bridges preconfigured and several RDBSMSs ready to deploy could allow for rapid monitoring during floods such as those which occurred in 2013.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225023","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Henneberg, M.F., and Richards, R.J., 2022, Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2022–5023, 18 p., https://doi.org/10.3133/sir20225023.","productDescription":"Report: iv, 18 p.; Database","onlineOnly":"Y","ipdsId":"IP-125349","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":397985,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5023/images"},{"id":397984,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System—","linkHelpText":"USGS water data for the Nation: U.S. Geological Survey National Water Information System database"},{"id":397986,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5023/sir20225023.xml"},{"id":397982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5023/coverthb.jpg"},{"id":397983,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5023/sir20225023.pdf","text":"Report","size":"8.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5023"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.984375,\n              37.020098201368114\n            ],\n            [\n              -103.35937499999999,\n              37.020098201368114\n            ],\n            [\n              -103.35937499999999,\n              41.11246878918088\n            ],\n            [\n              -108.984375,\n              41.11246878918088\n            ],\n            [\n              -108.984375,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/co-water/\" data-mce-href=\"http://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Rapid Deployment Bridge Scour Monitoring Systems</li><li>Application Lessons and Future Deployments</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":187481,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":202708,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70230249,"text":"sir20225008 - 2022 - Ungulate migrations of the western United States, volume 2","interactions":[],"lastModifiedDate":"2025-02-25T15:42:46.208938","indexId":"sir20225008","displayToPublicDate":"2022-04-07T12:20:00","publicationYear":"2022","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":"2022-5008","displayTitle":"Ungulate Migrations of the Western United States, Volume 2","title":"Ungulate migrations of the western United States, volume 2","docAbstract":"<p>Migration is widespread across taxonomic groups and increasingly recognized as fundamental to maintaining abundant wildlife populations and communities. Many ungulate herds migrate across the western United States to access food and avoid harsh environmental conditions. With the advent of global positioning system (GPS) collars, researchers can describe and map the year-round movements of ungulates at both large and small spatial scales. The migrations can traverse landscapes that are a mix of different jurisdictional ownership and management. Today, the landscapes migrating herds traverse are increasingly threatened by fencing, high-traffic roads, oil and gas development, and other types of permanent development. Through the use of GPS collars, a model of science-based conservation emerged in which migration corridors, stopovers, and winter ranges can be mapped in detail, thereby allowing threats and conservation opportunities to be identified and remedied. In 2018, the U.S. Geological Survey (USGS) assembled a Corridor Mapping Team (CMT) to work collaboratively with western states to map migrations of <i>Odocoileus hemionus</i> (mule deer), <i>Cervus canadensis</i> (elk), and <i>Antilocapra americana</i> (pronghorn). Led by the USGS Wyoming Cooperative Fish and Wildlife Research Unit, the team consists of Federal scientists, university researchers, and biologists and analysts from participating State and Tribal agencies. The first set of maps described a total of 42 migrations across 5 western states and was published in 2020 as the first volume of this report series. This second volume describes an additional 65 migrations mapped within 9 western states and select Tribal lands. As the western United States continues to grow, this report series and the associated map files released by the USGS will allow for migration maps to be used for conservation planning by a wide array of State and Federal stakeholders to reduce barriers to migration caused by fences, roads, and other development.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20225008","usgsCitation":"Kauffman, Matthew, Lowrey, Blake, Beck, Jeffrey, Berg, Jodi, Bergen, Scott, Berger, Joel, Cain, James, Dewey, Sarah, Diamond, Jennifer, Duvuvuei, Orrin, Fattebert, Julien, Gagnon, Jeff, Garcia, Julie, Greenspan, Evan, Hall, Embere, Harper, Glenn, Harter, Stan, Hersey, Kent, Hnilicka, Pat, Hurley, Mark, Knox, Lee, Lawson, Art, Maichak, Eric, Meacham, James, Merkle, Jerod, Middleton, Arthur, Olson, Daniel, Olson, Lucas, Reddell, Craig, Robb, Benjamin, Rozman, Gabe, Sawyer, Hall, Schroeder, Cody, Scurlock, Brandon, Short, Jeff, Sprague, Scott, Steingisser, Alethea, and Tatman, Nicole, 2022, Ungulate migrations of the western United States, volume 2: U.S. Geological Survey Scientific Investigations Report 2022–5008, 160 p., https://doi.org/10.3133/sir20225008.","productDescription":"Report: xix, 160 p.; Data Release","onlineOnly":"N","ipdsId":"IP-131429","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482394,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245006","text":"Ungulate Migrations of the Western United States, Volume 4"},{"id":482395,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245111","text":"Ungulate Migrations of the Western United States, Volume 5"},{"id":482393,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225088","text":"Ungulate Migrations of the Western United States, Volume 3"},{"id":482392,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205101","text":"Ungulate Migrations of the Western United States, Volume 1"},{"id":398159,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TKA3L8","text":"USGS data release","linkHelpText":"Ungulate Migrations of the Western United States, Volume 2"},{"id":398158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5008/sir20225008.pdf","text":"Report","size":"58.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5008"},{"id":398156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5008/coverthb2.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.1015625,\n              31.50362930577303\n            ],\n            [\n              -103.0078125,\n              31.50362930577303\n            ],\n            [\n              -103.0078125,\n              48.80686346108517\n            ],\n            [\n              -124.1015625,\n              48.80686346108517\n            ],\n            [\n              -124.1015625,\n              31.50362930577303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Associate Director, <a href=\"https://www.usgs.gov/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 300<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>State-Led Conservation Efforts in the Western United States</li><li>Herd Summaries</li><li>References Cited</li><li>Appendix 1. Methods</li></ul>","publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":839670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowrey, Blake 0000-0002-4994-2117","orcid":"https://orcid.org/0000-0002-4994-2117","contributorId":289714,"corporation":false,"usgs":false,"family":"Lowrey","given":"Blake","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":839671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Jeffrey L.","contributorId":289716,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":839673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berg, Jodi","contributorId":289718,"corporation":false,"usgs":false,"family":"Berg","given":"Jodi","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":839675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergen, Scott","contributorId":289717,"corporation":false,"usgs":false,"family":"Bergen","given":"Scott","affiliations":[{"id":62235,"text":"Idaho Department of Fish and Game.","active":true,"usgs":false}],"preferred":false,"id":839674,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berger, Joel","contributorId":289719,"corporation":false,"usgs":false,"family":"Berger","given":"Joel","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":839676,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":839677,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dewey, Sarah","contributorId":289720,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","affiliations":[{"id":37975,"text":"Grand Teton National Park","active":true,"usgs":false}],"preferred":false,"id":839678,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Diamond, Jennifer","contributorId":289721,"corporation":false,"usgs":false,"family":"Diamond","given":"Jennifer","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":839679,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duvuvuei, Orrin","contributorId":289722,"corporation":false,"usgs":false,"family":"Duvuvuei","given":"Orrin","email":"","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":839680,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":" Fattebert","contributorId":289715,"corporation":false,"usgs":false,"given":"Fattebert","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":839672,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gagnon, Jeff","contributorId":289723,"corporation":false,"usgs":false,"family":"Gagnon","given":"Jeff","email":"","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":839681,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Garcia, Julia","contributorId":289725,"corporation":false,"usgs":false,"family":"Garcia","given":"Julia","email":"","affiliations":[],"preferred":false,"id":839684,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Greenspan, Evan","contributorId":289726,"corporation":false,"usgs":false,"family":"Greenspan","given":"Evan","email":"","affiliations":[],"preferred":false,"id":839685,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hall, Embere","contributorId":289727,"corporation":false,"usgs":false,"family":"Hall","given":"Embere","email":"","affiliations":[],"preferred":false,"id":839686,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Harper, 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dlolson@usgs.gov","contributorId":2591,"corporation":false,"usgs":true,"family":"Olson","given":"Daniel","email":"dlolson@usgs.gov","affiliations":[],"preferred":true,"id":839698,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Olson, Lucas","contributorId":244701,"corporation":false,"usgs":false,"family":"Olson","given":"Lucas","email":"","affiliations":[],"preferred":false,"id":839699,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Reddell, Craig","contributorId":289734,"corporation":false,"usgs":false,"family":"Reddell","given":"Craig","affiliations":[],"preferred":false,"id":839700,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Robb, Benjamin S. 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":289735,"corporation":false,"usgs":false,"family":"Robb","given":"Benjamin S.","affiliations":[],"preferred":false,"id":839701,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Rozman, 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Brandon","contributorId":145744,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","affiliations":[{"id":16219,"text":"Wyoming Game and Fish Department, PO Box 850, Pinedale, Wyoming","active":true,"usgs":false}],"preferred":false,"id":839705,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Short, Jeff","contributorId":89437,"corporation":false,"usgs":true,"family":"Short","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":839706,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Sprague, Scott","contributorId":244699,"corporation":false,"usgs":false,"family":"Sprague","given":"Scott","email":"","affiliations":[],"preferred":false,"id":839707,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Steingisser, Alethea","contributorId":201403,"corporation":false,"usgs":false,"family":"Steingisser","given":"Alethea","email":"","affiliations":[],"preferred":false,"id":839708,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Tatman, Nicole","contributorId":289737,"corporation":false,"usgs":false,"family":"Tatman","given":"Nicole","affiliations":[],"preferred":false,"id":839709,"contributorType":{"id":1,"text":"Authors"},"rank":38}]}}
,{"id":70230304,"text":"ofr20221027 - 2022 - Historical development of the U.S. Geological Survey hydrological monitoring and investigative programs at the Idaho National Laboratory, Idaho, 2002–2020","interactions":[],"lastModifiedDate":"2026-03-27T20:05:00.989339","indexId":"ofr20221027","displayToPublicDate":"2022-04-07T10:07:22","publicationYear":"2022","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":"2022-1027","displayTitle":"Historical Development of the U.S. Geological Survey Hydrological Monitoring and Investigative Programs at the Idaho National Laboratory, Idaho, 2002–2020","title":"Historical development of the U.S. Geological Survey hydrological monitoring and investigative programs at the Idaho National Laboratory, Idaho, 2002–2020","docAbstract":"<p class=\"p1\">This report summarizes the historical development and operations, from 2002 to 2020, of the U.S. Geological Survey’s (USGS) hydrologic monitoring and investigative programs at the Idaho National Laboratory in cooperation with the U.S. Department of Energy. The report covers the USGS’s programs for water-level monitoring, water-quality sampling, geochemical studies, geophysical logging, geologic framework development, groundwater-flow modeling, drilling, surface-water monitoring, and unsaturated zone studies. The report provides physical information about wells, information about changes and frequencies of sampling and measurements, and management decisions for changes. Brief summaries of USGS reports published from 2002 through 2020 (with U.S. Department of Energy report numbers) are provided in an appendix.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221027","collaboration":"DOE/ID-22256<br />Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., 2022, Historical development of the U.S. Geological Survey hydrological monitoring and investigative programs at the Idaho National Laboratory, Idaho, 2002–2020: U.S. Geological Survey Open-File Report 2022–1027 (DOE/ID-22256), 54 p., https://doi.org/10.3133/ofr20221027.","productDescription":"viii, 54 p.","onlineOnly":"Y","ipdsId":"IP-127141","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":501768,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112847.htm","linkFileType":{"id":5,"text":"html"}},{"id":398286,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1027/ofr20221027.XML"},{"id":398284,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1027/ofr20221027.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1017"},{"id":398285,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1027/images"},{"id":398283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1027/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.466796875,\n              43.1090040242731\n            ],\n            [\n              -112.1044921875,\n              43.1090040242731\n            ],\n            [\n              -112.1044921875,\n              44.465151013519616\n            ],\n            [\n              -113.466796875,\n              44.465151013519616\n            ],\n            [\n              -113.466796875,\n              43.1090040242731\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a> , <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Historical Development of Hydrologic Monitoring and Investigative Programs</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70230644,"text":"70230644 - 2022 - A comparison of monitoring designs to assess wildlife community parameters across spatial scales","interactions":[],"lastModifiedDate":"2022-09-01T14:32:16.268147","indexId":"70230644","displayToPublicDate":"2022-04-07T09:04:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of monitoring designs to assess wildlife community parameters across spatial scales","docAbstract":"<p><span>Dedicated long-term monitoring at appropriate spatial and temporal scales is necessary to understand biodiversity losses and develop effective conservation plans. Wildlife monitoring is often achieved by obtaining data at a combination of spatial scales, ranging from local to broad, to understand the status, trends, and drivers of individual species or whole communities and their dynamics. However, limited resources for monitoring necessitates tradeoffs in the scope and scale of data collection. Careful consideration of the spatial and temporal allocation of finite sampling effort is crucial for monitoring programs that span multiple spatial scales. Here we evaluate the ability of five monitoring designs - stratified random, weighted effort, indicator unit, rotating panel, and split panel - to recover parameter values that describe the status (occupancy), trends (change in occupancy), and drivers (spatially-varying covariate and an autologistic term) of wildlife communities at two spatial scales. Using an amphibian monitoring program that spans a network of U.S. National Parks as a motivating example, we conducted a simulation study for a regional community occupancy sampling program to compare the monitoring designs across varying levels of sampling effort (ranging from 10 to 50%). We found that the stratified random design outperformed the other designs for most parameters of interest at both scales, and was thus generally preferable in balancing the estimation of status, trends, and drivers across scales. However, we found that other designs had improved performance in specific situations. For example, the rotating panel design performed best at estimating spatial drivers at a regional level. Thus, our results highlight the nuanced scenarios in which various design strategies may be preferred, and offer guidance as to how managers can balance common tradeoffs in large-scale and long-term monitoring programs in terms of the specific knowledge gained. Monitoring designs that improve accuracy in parameter estimates are needed to guide conservation policy and management decisions in the face of broad-scaled environmental challenges, but the preferred design is sensitive to the specific objectives of a monitoring program.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2621","usgsCitation":"Wright, A., Campbell Grant, E.H., and Zipkin, E., 2022, A comparison of monitoring designs to assess wildlife community parameters across spatial scales: Ecological Applications, v. 32, no. 6, e2621, 13 p., https://doi.org/10.1002/eap.2621.","productDescription":"e2621, 13 p.","ipdsId":"IP-131418","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":399081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Alexander","contributorId":238924,"corporation":false,"usgs":false,"family":"Wright","given":"Alexander","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":840983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":840984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":840985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228937,"text":"ofr20221001 - 2022 - Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis","interactions":[],"lastModifiedDate":"2022-04-07T16:36:11.779624","indexId":"ofr20221001","displayToPublicDate":"2022-04-07T08:28:05","publicationYear":"2022","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":"2022-1001","displayTitle":"Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products—Download Analysis","title":"Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download Analysis","docAbstract":"<h1>Introduction</h1><p>The global food-security-support-analysis data at 30-meter resolution (GFSAD30) cropland-extent product is a project to provide high-resolution global cropland-extent data relating to water use. It is the first global-land-cover map focusing exclusively on agriculture with a 30-meter spatial resolution. The overarching goal of the GFSAD30 project is to produce consistent and unbiased estimates of global agricultural cropland products such as cropland extent; cropland types; irrigated versus rainfed cropland; cropping intensities; and spatial and temporal (from 2000 to 2017) changes in cropland extent.</p><p>The goal of this report is to assess and discuss the usage of the GFSAD30 project’s cropland-extent product. Since the public release of GFSAD30 in November 2017, the number of files downloaded has been tracked, as well as the total size of files downloaded, the country from which the GFSAD30 data were downloaded, and the user’s field of study. This report presents a monthly assessment of the usage of GFSAD30 from November 2017 through December 2019. During this period, about 1,900 gigabytes of data and about 225,000 files were downloaded by users in more than 100 countries. This report also includes how GFSAD30 has been cited in media, scientific journals, and other data products. The release of data was widely covered by the national and international press, and GFSAD30 products have been cited more than 200 times in scientific journals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20221001","usgsCitation":"Oliphant, A., Thenkabail, P., and Teluguntla, P., 2022, Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products—Download analysis: U.S. Geological Survey Open-File Report 2022–1001, 20 p., https://doi.org/10.3133/ofr20221001.","productDescription":"Report: vi, 20 p.; Data Release","ipdsId":"IP-119165","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":398273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1001/covrthb.jpg"},{"id":398276,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HOIB7S","text":"Download rates of the global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products","description":"Oliphant, A.J., Thenkabail, P.S., and Teluguntla, P., 2022, Download rates of the global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent products: U.S. Geological Survey data release, https://doi.org/10.5066/P9HOIB7S."},{"id":398274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1001/ofr20221001.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"<p><a href=\"https://www.usgs.gov/centers/wgsc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wgsc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/wgsc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wgsc/\">Western Geographic Science Center&nbsp;</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>350 N. Akron Rd.&nbsp;<br>Moffett Field, CA 94035&nbsp;</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Purpose and Scope&nbsp;&nbsp;</li><li>Methodology</li><li>Product Definitions</li><li>Usage of Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30)&nbsp;&nbsp;</li><li>Conclusions&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. References for GFSAD30 Products&nbsp;&nbsp;</li><li>Appendix 2. References for GFSAD30 Product Documentation&nbsp;&nbsp;</li><li>Appendix 3. References for Peer-Reviewed Scientific Journal Publications Associated with Southeast Asia&nbsp;&nbsp;</li><li>Appendix 4. References for Other Online Sources that Mention GFSAD30&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-07","noUsgsAuthors":false,"publicationDate":"2022-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266443,"text":"70266443 - 2022 - Phoretic sharksuckers (Echeneis naucrates) associated with an elasmobranch host occupy higher relative trophic positions","interactions":[],"lastModifiedDate":"2025-05-07T15:48:28.968317","indexId":"70266443","displayToPublicDate":"2022-04-07T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Phoretic sharksuckers (Echeneis naucrates) associated with an elasmobranch host occupy higher relative trophic positions","docAbstract":"<p><span>The relationship between phoretic diskfishes and their hosts is a classic example of marine symbiosis, yet surprisingly few studies have quantified this trophic relationship. We investigated the hypothesis that by consuming host parasites and prey scraps phoretic diskfishes (Echeneidae) feed at a higher relative trophic position than free-living individuals through expanded foraging opportunities. We used carbon and nitrogen stable isotope analysis of muscle tissue from both free-living and commensal sharksuckers&nbsp;</span><i>Echeneis naucrates</i><span>&nbsp;and their hosts, supplemented with gut-content analysis, to investigate this hypothesis. Our analysis revealed that commensal sharksuckers likely occupy higher relative trophic positions than free-living sharksuckers. The importance of scavenging host prey decreased ontogenetically as sharksuckers shifted from symbiotic phoresis to free-swimming behavior, leading to an ontogenetic change in which obligately commensal juveniles occupy higher trophic positions than free-living adults which are only facultatively commensal. Relative differences in δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N among individual host-commensal pairs varied among host species, suggesting potential differences in foraging opportunities among host taxa.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14002","usgsCitation":"Peterson, C.T., Bachman, B.A., Kraus, R., and Grubbs, R., 2022, Phoretic sharksuckers (Echeneis naucrates) associated with an elasmobranch host occupy higher relative trophic positions: Marine Ecology Progress Series, v. 687, p. 125-132, https://doi.org/10.3354/meps14002.","productDescription":"8 p.","startPage":"125","endPage":"132","ipdsId":"IP-098141","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":485510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"687","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Cheston T.","contributorId":209973,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheston","email":"","middleInitial":"T.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":935980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachman, Beverly A.","contributorId":209972,"corporation":false,"usgs":false,"family":"Bachman","given":"Beverly","email":"","middleInitial":"A.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":935981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grubbs, R. Dean","contributorId":354612,"corporation":false,"usgs":false,"family":"Grubbs","given":"R. Dean","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":935983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230301,"text":"dr1153 - 2022 - Quality of surface water in Missouri, water year 2020","interactions":[],"lastModifiedDate":"2026-03-16T20:01:23.734918","indexId":"dr1153","displayToPublicDate":"2022-04-06T14:37:17","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1153","displayTitle":"Quality of Surface Water in Missouri, Water Year 2020","title":"Quality of surface water in Missouri, water year 2020","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, monitors stations designed for the Ambient Water-Quality Monitoring Network, a collection of stations that monitor streams and springs in Missouri. During water year 2020 (October 1, 2019, through September 30, 2020), the U.S. Geological Survey collected water-quality data at 72 stations: 70 Ambient Water-Quality Monitoring stations and 2 U.S. Geological Survey National Water Quality Network stations. Among the stations in this report, four stations have data from additional sampling completed in cooperation with the U.S. Army Corps of Engineers. Water-quality analyses are provided for dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, <i>Escherichia coli</i> bacteria, fecal coliform bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and selected pesticide compounds. Monitoring stations have been classified based on the physiographic province or primary land use in the watershed or based on the unique hydrologic characteristics of the waterbodies (springs, large rivers) monitored. A summary of hydrologic conditions including peak streamflows, monthly mean streamflows, and 7-day low flows also are provided for representative streamgages in the State.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1153","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Buckley, C.E., 2022, Quality of surface water in Missouri, water year 2020: U.S. Geological Survey Data Report 1153, 24 p., https://doi.org/10.3133/dr1153.","productDescription":"Report: vii, 24 p.; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-129885","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":398244,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the 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 \"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>The Ambient Water-Quality Monitoring Network</li><li>Laboratory Reporting Conventions</li><li>Surface-Water-Quality Data Analysis Methods</li><li>Station Classification for Data Analysis</li><li>Hydrologic Conditions</li><li>Distribution, Concentration, and Detection Frequency of Selected Constituents</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-06","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Buckley, Camille E. 0000-0002-1692-5644","orcid":"https://orcid.org/0000-0002-1692-5644","contributorId":289852,"corporation":false,"usgs":false,"family":"Buckley","given":"Camille","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":839922,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70232503,"text":"70232503 - 2022 - Integrating growth and survival models for flexible estimation of size-dependent survival in a cryptic, endangered snake","interactions":[],"lastModifiedDate":"2022-07-06T15:30:59.002784","indexId":"70232503","displayToPublicDate":"2022-04-06T10:22:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating growth and survival models for flexible estimation of size-dependent survival in a cryptic, endangered snake","docAbstract":"<p><span>Estimates of demographic rates for animal populations and individuals have many applications for ecological and conservation research. In many animals, survival is size-dependent, but estimating the form of the size–survival relationship presents challenges. For elusive species with low recapture rates, individuals’ size will be unknown at many points in time. Integrating growth and capture–mark–recapture models in a Bayesian framework empowers researchers to impute missing size data, with uncertainty, and include size as a covariate of survival, capture probability, and presence on-site. If there is no theoretical expectation for the shape of the size–survival relationship, spline functions can allow for fitting flexible, data-driven estimates. We use long-term capture–mark–recapture data from the endangered San Francisco gartersnake (</span><i>Thamnophis sirtalis tetrataenia</i><span>) to fit an integrated growth–survival model. Growth models showed that females reach longer asymptotic lengths than males and that the magnitude of sexual size dimorphism differed among populations. The capture probability and availability of San Francisco gartersnakes for capture increased with snout–vent length. The survival rate of female snakes exhibits a nonlinear relationship with snout–vent length (SVL), with survival flat between 300&nbsp;mm and 550&nbsp;mm SVL before decreasing for females between 550&nbsp;mm and 700&nbsp;mm SVL. For male snakes, survival decreased for adult males &gt;550&nbsp;mm SVL. The survival rates of the smallest and largest San Francisco gartersnakes were highly uncertain because recapture rates were very low for these sizes. By integrating growth and survival models and using penalized splines, we found support for size-dependent survival in San Francisco gartersnakes. Our results have applications for devising management activities for this endangered subspecies, and our methods could be applied broadly to the study of size-dependent demography among animals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8799","usgsCitation":"Rose, J.P., Kim, R., Schoenig, E.J., Lien, P.C., and Halstead, B., 2022, Integrating growth and survival models for flexible estimation of size-dependent survival in a cryptic, endangered snake: Ecology and Evolution, v. 12, no. 4, e8799, 15 p., https://doi.org/10.1002/ece3.8799.","productDescription":"e8799, 15 p.","ipdsId":"IP-132803","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448199,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8799","text":"Publisher Index Page"},{"id":435891,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SC36I8","text":"USGS data release","linkHelpText":"Growth and Capture-Mark-Recapture Data for San Francisco Gartersnakes, Thamnophis sirtalis tetrataenia, in San Mateo County, California from 2007 to 2020"},{"id":435890,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9700BBK","text":"USGS data release","linkHelpText":"Code to analyze Capture-Mark-Recapture data of San Francisco gartersnakes (Thamnophis sirtalis tetrataenia)"},{"id":403070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Mateo County, Santa Cruz County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.51129150390625,\n  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rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":845709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenig, Elliot James 0000-0002-7217-315X eschoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-7217-315X","contributorId":291497,"corporation":false,"usgs":true,"family":"Schoenig","given":"Elliot","email":"eschoenig@usgs.gov","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lien, Patrick C. 0000-0001-7183-0878","orcid":"https://orcid.org/0000-0001-7183-0878","contributorId":291498,"corporation":false,"usgs":true,"family":"Lien","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":845711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":845712,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230253,"text":"70230253 - 2022 - Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog","interactions":[],"lastModifiedDate":"2022-04-06T14:30:50.755385","indexId":"70230253","displayToPublicDate":"2022-04-06T09:20:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog","docAbstract":"<p id=\"sp0010\">Amphibian populations are sensitive to environmental temperatures and moisture, which vary with local weather conditions and may reach new norms and extremes as contemporary climate change progresses. Using long-term (11–16&nbsp;years) mark-recapture data from 10 populations of the Columbia spotted frog (<i>Rana luteiventris</i>) from across its U.S. range, we addressed hypotheses about how demographic relationships to weather depend upon a population’s position along climate gradients. We estimated the effect of seasonal weather on annual survival probability and recruitment rates both within populations and across the species’ range from subalpine forests to semi-arid deserts. We calculated population-specific weather variables that captured seasonal temperature and precipitation between summer sampling events, both for periods when frogs were active (spring to fall) and inactive (winter). Across all populations, we marked 15,885 adult frogs, with 33% of frogs recaptured at least once. Population demography varied with seasonal weather across the species’ range. Annual adult survival probability and recruitment rates of each population were influenced by a unique set of seasonal temperature and precipitation variables, particularly in winter and spring. Hence, adult survival varied with local conditions but, when analyzed across all populations, was predictable along a species-environment response curve associated with the timing of snowmelt and spring moisture. In contrast, recruitment rates for each population peaked at different values along an environmental gradient associated with the amount of snow during winter, and fall temperature and moisture levels, suggesting that recruitment may be responding to local conditions independently within each population. These findings highlight that sampling across the environmental (i.e., elevational and meteorological) gradients within a species range is necessary to predict species-level responses to regional climate change. This study also provides evidence of the importance of winter conditions on the demography of temperate amphibians, conditions that are already responding to climate change. Finally, this study further emphasizes that local context and spatiotemporal scale of inquiry remain paramount to understanding and potentially managing for climate effects on populations of amphibian species with broad geographic ranges.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108648","usgsCitation":"Pilliod, D., McCaffery, R.M., Arkle, R., Scherer, R.D., Cupples, J.B., Eby, L.A., Hossack, B., Lingo, H., Lohr, K.N., Maxell, B.A., McGuire, M.J., Mellison, C., Meyer, M.K., Munger, J.C., Slatauski, T., and Van Horne, R., 2022, Importance of local weather and environmental gradients on demography of a broadly distributed temperate frog: Ecological Indicators, v. 136, 108648, 12 p., https://doi.org/10.1016/j.ecolind.2022.108648.","productDescription":"108648, 12 p.","ipdsId":"IP-064164","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":448202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108648","text":"Publisher Index Page"},{"id":398218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.1142578125,\n              38.58252615935333\n            ],\n            [\n              -114.01611328125,\n              41.95131994679697\n            ],\n            [\n              -113.895263671875,\n              46.445427497233844\n            ],\n            [\n              -118.311767578125,\n              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0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":216339,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scherer, Rick D.","contributorId":97368,"corporation":false,"usgs":false,"family":"Scherer","given":"Rick","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":839718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cupples, Jacqueline B.","contributorId":289741,"corporation":false,"usgs":false,"family":"Cupples","given":"Jacqueline","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":839719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eby, Lisa A.","contributorId":42910,"corporation":false,"usgs":true,"family":"Eby","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":839720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science 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K.","contributorId":289751,"corporation":false,"usgs":false,"family":"Meyer","given":"Marisa","email":"","middleInitial":"K.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":839727,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Munger, James C.","contributorId":29377,"corporation":false,"usgs":true,"family":"Munger","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":839728,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Slatauski, Teri","contributorId":289755,"corporation":false,"usgs":false,"family":"Slatauski","given":"Teri","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":839729,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Van Horne, Rachel","contributorId":216072,"corporation":false,"usgs":false,"family":"Van Horne","given":"Rachel","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":839730,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70230266,"text":"70230266 - 2022 - A golden era for volcanic gas geochemistry?","interactions":[],"lastModifiedDate":"2022-04-06T14:10:20.550029","indexId":"70230266","displayToPublicDate":"2022-04-06T09:07:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"A golden era for volcanic gas geochemistry?","docAbstract":"The exsolution, rise, expansion, and separation of volatiles from magma provides the driving force behind both effusive and explosive volcanic eruptions. The field of volcanic gas geochemistry therefore plays a key role in understanding volcanism. In this article, we summarize the most important findings of the past few decades and how these shape today’s understanding of volcanic degassing. We argue that the recent advent of automated, continuous geochemical monitoring at volcanoes now allows us to track activity from unrest to eruption, thus providing valuable insights into the behavior of volatiles throughout the entire sequence. In the next 10 years, the research community stands to benefit from the expansion of geochemical monitoring networks to many more active volcanoes. This, along with technical advances in instrumentation, and in particular the increasing role that unoccupied aircraft systems (UAS) and satellite-based observations are likely to play in collecting volcanic gas measurements, will provide a rich dataset for testing hypotheses and developing diagnostic tools for eruption forecasts. The use of consistent, well-documented analytical methods and ensuring free, public access to the collected data with few restrictions will be most beneficial to the advancement of volcanic gas science.","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01556-6","usgsCitation":"Kern, C., Aiuppa, A., and de Moor, J.M., 2022, A golden era for volcanic gas geochemistry?: Bulletin of Volcanology, v. 84, 43, 11 p., https://doi.org/10.1007/s00445-022-01556-6.","productDescription":"43, 11 p.","ipdsId":"IP-137886","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467187,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10447/576295","text":"External Repository"},{"id":398212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":839750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiuppa, Alessandro","contributorId":173677,"corporation":false,"usgs":false,"family":"Aiuppa","given":"Alessandro","affiliations":[{"id":27272,"text":"Dipartimento DiSTeM, Università di Palermo, Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":839751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Moor, J. Maarten","contributorId":148063,"corporation":false,"usgs":false,"family":"de Moor","given":"J.","email":"","middleInitial":"Maarten","affiliations":[{"id":16987,"text":"OVSICORI, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":839752,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230271,"text":"70230271 - 2022 - Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA","interactions":[],"lastModifiedDate":"2022-04-06T13:52:43.765634","indexId":"70230271","displayToPublicDate":"2022-04-06T08:46:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Late season movement and habitat use by Oregon spotted frog (<i>Rana pretiosa</i>) in a large reservoir in Oregon, USA","title":"Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA","docAbstract":"<p id=\"ID0EF\" class=\"first\">Dam-created reservoirs are common landscape features that can provide habitat for amphibians, but their water level fluctuations and nonnative predators can differ markedly from more natural habitats. We compared fall movement and habitat use by the Oregon Spotted Frog (<i>Rana pretiosa</i>) in the reservoir pool with nearby river and pond habitats at Crane Prairie Reservoir in central Oregon, USA. Movement rate of frogs in the river and ponds declined as water temperature cooled. Reservoir frogs moved further than those in the river or ponds, and their movement rate increased as water temperature cooled. Most frog locations across all site types were in aquatic herbaceous vegetation. We did not find shifts in habitat between early and late fall. Increased movement and the lack of habitat shift in our reservoir frogs deeper into fall contrast with<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>in non-reservoir sites in this study and others. Consistent use of vegetation by reservoir frogs throughout the fall could indicate cover use in presence of fish predators. Our study provides additional detail on the range of habitats used by<span>&nbsp;</span><i>R. pretiosa</i><span>&nbsp;</span>in fall and suggests areas for further work to improve survival in constructed sites with abundant fish predators.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/20-060","usgsCitation":"Pearl, C., Rowe, J., McCreary, B., and Adams, M.J., 2022, Late season movement and habitat use by Oregon spotted frog (Rana pretiosa) in a large reservoir in Oregon, USA: Journal of Herpetology, v. 56, no. 1, p. 8-17, https://doi.org/10.1670/20-060.","productDescription":"10 p.","startPage":"8","endPage":"17","ipdsId":"IP-118882","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":435892,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DACPCV","text":"USGS data release","linkHelpText":"Oregon spotted frog (Rana pretiosa) 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43.74828114490795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":839767,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230268,"text":"70230268 - 2022 - Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States","interactions":[],"lastModifiedDate":"2022-05-13T15:05:40.788078","indexId":"70230268","displayToPublicDate":"2022-04-06T08:33:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Climate refugia for <i>Pinus</i> spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States","title":"Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States","docAbstract":"<p>Climate refugia, or places where habitats are expected to remain relatively buffered from regional climate extremes, provide an important focus for science and conservation planning. Within high-priority, multi-jurisdictional landscapes like the Madrean sky islands of the United States and México, efforts to identify and manage climate refugia are hindered by the lack of high-quality and consistent transboundary datasets. To fill these data gaps, we assembled a bi-national field dataset (<i>n</i> = 1416) for five pine species (<i>Pinus</i><span>&nbsp;</span>spp.) and used generalized boosted regression to model pine habitats in relation to topographic variability as a basis for identifying potential microrefugia at local scales in the context of current species’ distribution patterns. We developed additional models to quantify climatic refugial attributes using coarse scale bioclimatic variables and finer scale seasonal remote sensing indices. Terrain metrics including ruggedness, slope position, and aspect defined microrefugia for pines within elevation ranges preferred by each species. Response to bioclimatic variables indicated that small shifts in climate were important to some species (e.g.,<span>&nbsp;</span><i>P. chihuahuana, P. strobiformis</i>), but others exhibited a broader tolerance (e.g.,<span>&nbsp;</span><i>P. arizonica</i>). Response to seasonal climate was particularly important in modeling microrefugia for species with open canopy structure and where regular fires occur (e.g.,<span>&nbsp;</span><i>P. engelmannii</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P. chihuahuana</i>). Hotspots of microrefugia differed among species and were either limited to northern islands or occurred across central or southern latitudes. Mapping and validation of refugia and their ecological functions are necessary steps in developing regional conservation strategies that cross jurisdictional boundaries. A salient application will be incorporation of climate refugia in management of fire to restore and maintain pine ecology.</p>","language":"English","doi":"10.1007/s11258-022-01233-w","usgsCitation":"Haire, S.L., Villarreal, M.L., Cortes Montano, C., Flesch, A.D., Iniguez, J.M., Romo-Leon, J.R., and Sanderlin, J.S., 2022, Climate refugia for Pinus spp. in topographic and bioclimatic environments of the Madrean sky islands of México and the United States: Plant Ecology, v. 223, p. 577-598, https://doi.org/10.1007/s11258-022-01233-w.","productDescription":"22 p.","startPage":"577","endPage":"598","ipdsId":"IP-121574","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":448208,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11258-022-01233-w","text":"Publisher Index Page"},{"id":435893,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CLBAF7","text":"USGS data release","linkHelpText":"Pine species distribution maps of the Madrean Sky Islands, United States and Mexico"},{"id":398205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"México, United States","state":"Arizona, Chihuahua, New Mexico, Sonora","otherGeospatial":"Madrean Archipelago Ecoregion, Madrean Sky Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.19238281249999,\n              28.013801376380712\n            ],\n            [\n              -107.677001953125,\n              28.013801376380712\n            ],\n            [\n              -107.677001953125,\n              33.169743600216165\n            ],\n            [\n              -112.19238281249999,\n              33.169743600216165\n            ],\n            [\n              -112.19238281249999,\n              28.013801376380712\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"223","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Haire, Sandra L. 0000-0002-5356-7567","orcid":"https://orcid.org/0000-0002-5356-7567","contributorId":213971,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[{"id":32362,"text":"Haire Laboratory for Landscape Ecology","active":true,"usgs":false}],"preferred":false,"id":839753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":839754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cortes Montano, Citlali 0000-0002-1916-1985","orcid":"https://orcid.org/0000-0002-1916-1985","contributorId":213973,"corporation":false,"usgs":false,"family":"Cortes Montano","given":"Citlali","email":"","affiliations":[{"id":38945,"text":"Universidad Juárez del Estado de Durango","active":true,"usgs":false}],"preferred":false,"id":839755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flesch, Aaron D. 0000-0003-3434-0778","orcid":"https://orcid.org/0000-0003-3434-0778","contributorId":245372,"corporation":false,"usgs":false,"family":"Flesch","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":49169,"text":"School of Natural Resources and the Environment and The Desert Laboratory on Tumamoc Hill, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":839756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iniguez, Jose M. 0000-0002-4566-1297","orcid":"https://orcid.org/0000-0002-4566-1297","contributorId":213972,"corporation":false,"usgs":false,"family":"Iniguez","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":839757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romo-Leon, Jose Raul 0000-0001-8946-9005","orcid":"https://orcid.org/0000-0001-8946-9005","contributorId":289774,"corporation":false,"usgs":false,"family":"Romo-Leon","given":"Jose","email":"","middleInitial":"Raul","affiliations":[{"id":40545,"text":"Universidad de Sonora","active":true,"usgs":false}],"preferred":false,"id":839758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderlin, Jamie S. 0000-0001-8651-9804","orcid":"https://orcid.org/0000-0001-8651-9804","contributorId":245373,"corporation":false,"usgs":false,"family":"Sanderlin","given":"Jamie","email":"","middleInitial":"S.","affiliations":[{"id":49171,"text":"US Forest Service, Rocky Mountain Research Station, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":839759,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70230928,"text":"70230928 - 2022 - Reassessing perennial cover as a driver of duck nest survival in the Prairie Pothole Region","interactions":[],"lastModifiedDate":"2022-07-07T16:51:56.644528","indexId":"70230928","displayToPublicDate":"2022-04-06T08:23:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Reassessing perennial cover as a driver of duck nest survival in the Prairie Pothole Region","docAbstract":"<p><span>Conservation plans designed to sustain North American duck populations prominently feature a key hypothesis stating that the amount of the landscape in perennial cover surrounding upland duck nests positively influences nest survival rates. Recent conflicting research testing this hypothesis creates ambiguity regarding which management actions to pursue and where to prioritize conservation delivery. We compared existing models and new formulations of existing models explaining spatiotemporal variation in nest survival using independent data documenting the fate of &gt;20,000 duck nests within the Drift Prairie, Missouri Coteau, and Prairie Coteau physiographic regions of the United States Prairie Pothole Region during 2002–2018. Our results suggest an inconsistent relationship between perennial cover and survival of upland duck nests, which depended upon physiographic region and current and time-lagged landscape and environmental conditions. The magnitude and direction of how perennial cover correlated with daily nest survival depended on its dominance as a landcover type. A positive relationship existed when perennial cover was a minor component of landcover in all physiographic regions (&lt;30% of a 10.4-km</span><sup>2</sup><span>&nbsp;area) and, in the Drift Prairie and Prairie Coteau, when perennial cover was the dominant landcover type (&gt;60%). A constant or negative relationship was predicted at locations of about 30–60% perennial cover. Additionally, environmental conditions (i.e., density of wetlands and estimated gross primary productivity in the previous year) moderated or enhanced the effect of perennial cover on nest survival, depending on physiographic region. Our finding of inconsistency in the relationship between perennial cover and nest survival contradicts the conservation premise that nest survival universally increases linearly when uplands are converted to perennial cover. Promoting policies and management actions designed to increase perennial cover can be expected to be situationally but not consistently associated with higher survival of upland duck nests.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22227","usgsCitation":"Pearse, A.T., Anteau, M.J., Post van der Burg, M., Sherfy, M.H., Buhl, T.K., and Shaffer, T.L., 2022, Reassessing perennial cover as a driver of duck nest survival in the Prairie Pothole Region: Journal of Wildlife Management, v. 86, no. 5, e22227, 18 p., https://doi.org/10.1002/jwmg.22227.","productDescription":"e22227, 18 p.","ipdsId":"IP-131885","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":448210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22227","text":"Publisher Index Page"},{"id":399807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.70166015624999,\n              42.8115217450979\n            ],\n            [\n              -96.416015625,\n              43.389081939117496\n            ],\n            [\n              -96.416015625,\n              44.33956524809713\n            ],\n            [\n              -96.48193359375,\n              45.38301927899065\n            ],\n            [\n              -96.78955078125,\n              45.583289756006316\n            ],\n            [\n              -96.48193359375,\n              45.93587062119052\n            ],\n            [\n              -96.6357421875,\n              46.45299704748289\n            ],\n            [\n              -97.75634765625,\n              47.368594345213374\n            ],\n            [\n              -98.15185546874999,\n              48.93693495409401\n            ],\n            [\n              -106.3916015625,\n              49.009050809382046\n            ],\n            [\n              -105.44677734375,\n              47.916342040161155\n            ],\n            [\n              -101.31591796875,\n              46.9052455464292\n            ],\n            [\n              -100.96435546875,\n              46.164614496897094\n            ],\n            [\n              -100.74462890625,\n              44.63739123445585\n            ],\n            [\n              -98.98681640625,\n              43.11702412135048\n            ],\n            [\n              -96.70166015624999,\n              42.8115217450979\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhl, Thomas K. 0000-0001-9909-3419 tbuhl@usgs.gov","orcid":"https://orcid.org/0000-0001-9909-3419","contributorId":3934,"corporation":false,"usgs":true,"family":"Buhl","given":"Thomas","email":"tbuhl@usgs.gov","middleInitial":"K.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230983,"text":"70230983 - 2022 - Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","interactions":[],"lastModifiedDate":"2022-06-01T15:23:31.059169","indexId":"70230983","displayToPublicDate":"2022-04-06T06:54:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Anaerobic digestion has been suggested as an intervention to attenuate antibiotic resistance genes (ARGs) in livestock manure but supporting data have typically been collected at laboratory scale. Few studies have quantified ARG fate during full-scale digestion of livestock manure. We sampled untreated manure and digestate from seven full-scale mesophilic dairy manure digesters to assess ARG fate through each system. Samples were collected biweekly from December through August (i.e., winter, spring, and summer;<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;235 total) and analyzed by quantitative polymerase chain reaction for<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>erm</i>(B),<span>&nbsp;</span><i>sul1</i>,<span>&nbsp;</span><i>tet</i>(A), and<span>&nbsp;</span><i>tet</i>(W). Concentrations of<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>sul1</i>, and<span>&nbsp;</span><i>tet</i>(A) decreased during anaerobic digestion, but their removal was less extensive than expected based on previous laboratory studies. Removal for<span>&nbsp;</span><i>intI1</i><span>&nbsp;</span>during anaerobic digestion equaled 0.28 ± 0.03 log<sub>10</sub><span>&nbsp;</span>units (mean ± SE), equivalent to only 48% removal and notable given<span>&nbsp;</span><i>intI1</i>’s role in horizontal gene transfer and multiple resistance. Furthermore,<span>&nbsp;</span><i>tet</i>(W) concentrations were unchanged during anaerobic digestion (<i>p&nbsp;</i>&gt;&nbsp;0.05), and<span>&nbsp;</span><i>erm</i>(B) concentrations increased by 0.52 ± 0.03 log<sub>10</sub><span>&nbsp;</span>units (3.3-fold), which is important given erythromycin's status as a critically important antibiotic for human medicine. Seasonal log<sub>10</sub><span>&nbsp;</span>changes in<span>&nbsp;</span><i>intI1</i>,<span>&nbsp;</span><i>sul1</i>, and<span>&nbsp;</span><i>tet</i>(A) concentrations were ≥50% of corresponding log<sub>10</sub><span>&nbsp;</span>removals by anaerobic digestion, and variation in ARG and<span>&nbsp;</span><i>intI1</i><span>&nbsp;</span>concentrations among digesters was quantitatively comparable to anaerobic digestion effects. These results suggest that mesophilic anaerobic digestion may be limited as an intervention for ARGs in livestock manure and emphasize the need for multiple farm-level interventions to attenuate antibiotic resistance.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20350","usgsCitation":"Burch, T., Firnstahl, A.D., Spencer, S.K., Larson, R.A., and Borchardt, M.A., 2022, Fate and seasonality of antimicrobial resistance genes during full-scale anaerobic digestion of cattle manure across seven livestock production facilities: Journal of Environmental Quality, v. 51, no. 3, p. 352-363, https://doi.org/10.1002/jeq2.20350.","productDescription":"12 p.","startPage":"352","endPage":"363","ipdsId":"IP-133713","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":448212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20350","text":"Publisher Index Page"},{"id":399881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":841746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":841748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Rebecca A.","contributorId":290761,"corporation":false,"usgs":false,"family":"Larson","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":62490,"text":"University of Wisconsin, Department of Biological Systems Engineering","active":true,"usgs":false}],"preferred":false,"id":841749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":841750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230510,"text":"70230510 - 2022 - Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","interactions":[],"lastModifiedDate":"2022-04-14T11:35:53.794119","indexId":"70230510","displayToPublicDate":"2022-04-06T06:34:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise and warming mediate coastal groundwater discharge in the Arctic","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Groundwater discharge is an important mechanism through which fresh water and associated solutes are delivered to the ocean. Permafrost environments have traditionally been considered hydrogeologically inactive, yet with accelerated climate change and permafrost thaw, groundwater flow paths are activating and opening subsurface connections to the coastal zone. While warming has the potential to increase land-sea connectivity, sea-level change has the potential to alter land-sea hydraulic gradients and enhance coastal permafrost thaw, resulting in a complex interplay that will govern future groundwater discharge dynamics along Arctic coastlines. Here, we use a recently developed permafrost hydrological model that simulates variable-density groundwater flow and salinity-dependent freeze-thaw to investigate the impacts of sea-level change and land and ocean warming on the magnitude, spatial distribution, and salinity of coastal groundwater discharge. Results project both an increase and decrease in discharge with climate change depending on the rate of warming and sea-level change. Under high warming and low sea-level rise scenarios, results show up to a 58% increase in coastal groundwater discharge by 2100 due to the formation of a supra-permafrost aquifer that enhances freshwater delivery to the coastal zone. With higher rates of sea-level rise, the increase in discharge due to warming is reduced to 21% as sea-level rise decreased land-sea hydraulic gradients. Under lower warming scenarios for which supra-permafrost groundwater flow was not established, discharge decreased by up to 26% between 1980 and 2100 for high sea-level rise scenarios and increased only 8% under low sea-level rise scenarios. Thus, regions with higher warming rates and lower rates of sea-level change (e.g. northern Nunavut, Canada) will experience a greater increase in discharge than regions with lower warming rates and higher rates of sea-level change. The magnitude, location and salinity of discharge have important implications for ecosystem function, water quality, and carbon dynamics in coastal zones.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6085","usgsCitation":"Guimond, J., Mohammad, A., Walvoord, M.A., Bense, V.F., and Kurylyk, B.L., 2022, Sea-level rise and warming mediate coastal groundwater discharge in the Arctic: Environmental Research Letters, v. 17, 045027, 11 p., https://doi.org/10.1088/1748-9326/ac6085.","productDescription":"045027, 11 p.","ipdsId":"IP-138042","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac6085","text":"Publisher Index Page"},{"id":398724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2022-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammad, Aaron","contributorId":266044,"corporation":false,"usgs":false,"family":"Mohammad","given":"Aaron","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":840592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":840593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":840610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":840594,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230184,"text":"fs20223019 - 2022 - Florida and Landsat","interactions":[],"lastModifiedDate":"2023-01-21T15:54:35.338352","indexId":"fs20223019","displayToPublicDate":"2022-04-05T13:11:48","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3019","displayTitle":"Florida and Landsat","title":"Florida and Landsat","docAbstract":"<p>More than 21 million people call Florida home, but many more visit the peninsula each year—including a record 131 million in 2019. Residents and tourists enjoy the State’s warm weather and varied attractions amid incredibly diverse biological and natural resources. Numerous lakes and rivers, and 8,400 miles of ocean shoreline, play a prominent role, as do unique habitats like the Everglades, which are home to protected species such as the Florida manatee (<i>Trichechus manatus latirostris</i>), American crocodile (<i>Crocodylus acutus</i>), and Florida panther (<i>Puma concolor couguar</i>). The State also supports cattle, sugarcane, and citrus production—along with nearly one-half of the tree species in the United States.</p><p>A changing climate is expected to bring rising sea levels and more extreme weather events. In a State where the average elevation is 100 feet above sea level, climate change could affect everything from urban shores and beaches to agriculture and forests. In addition, as cities grow, more land cover tends to shift from natural vegetation to impervious surfaces such as pavement, which can add to environmental risks such as flooding.</p><p>Landsat can help Florida’s agencies, organizations, and residents monitor the State’s fragile landscapes and plan for a resilient future. Here are just a few examples of how Landsat benefits Florida.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223019","usgsCitation":"U.S. Geological Survey, 2022, Florida and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2022–3019, 2 p., https://doi.org/10.3133/fs20223019.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-130663","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":411874,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223019/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":411847,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3019/fs20223019.pdf","text":"Report","size":"2.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","edition":"Version 1.0: April 5, 2022; Version 1.1: January 13, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Mapping Fire History Across the State</li><li>Keeping an Eye on the Everglades</li><li>Addressing a Changing Climate in Miami Beach</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-05","revisedDate":"2023-01-13","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":210377,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":839404,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70230202,"text":"70230202 - 2022 - Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","interactions":[],"lastModifiedDate":"2022-04-05T15:38:17.139919","indexId":"70230202","displayToPublicDate":"2022-04-05T10:28:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Phenological variation in spring migration timing of adult alewife (<i>Alosa pseudoharengus</i>) in coastal Massachusetts","title":"Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts","docAbstract":"<p>The timing of biological events in plants and animals, such as migration and reproduction, is shifting due to climate change. Anadromous fishes are particularly susceptible to these shifts as they are subject to strong seasonal cycles when transitioning between marine and freshwater habitats to spawn. We used linear models to determine the extent of phenological shifts in adult Alewife<span>&nbsp;</span><i>Alosa pseudoharengus</i><span>&nbsp;</span>as they migrated from ocean to freshwater environments during spring to spawn at 12 sites along the northeastern USA. We also evaluated broadscale oceanic and atmospheric drivers that trigger their movements from offshore to inland habitats, including sea surface temperature, North Atlantic Oscillation index, and Gulf Stream index. Run timing metrics of initiation, median (an indicator of peak run timing), end, and duration were found to vary among sites. Although most sites showed negligible shifts towards earlier timing, statistically significant changes were detected in three systems. Overall, winter sea surface temperature, spring and fall transition dates, and annual run size were the strongest predictors of run initiation and median dates, while a combination of within-season and seasonal-lag effects influenced run end and duration timing. Disparate results observed across the 12 spawning runs suggest that regional environmental processes were not consistent drivers of phenology and local environmental and ecological conditions may be more important. Additional years of data to extend time series and monitoring of Alewife timing and movements in nearshore habitats may provide important information about staging behaviors just before adults transition between ocean and freshwater habitats.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10198","usgsCitation":"Dalton, R.M., Sheppard, J.J., Finn, J., Jordaan, A., and Staudinger, M., 2022, Phenological variation in spring migration timing of adult alewife (Alosa pseudoharengus) in coastal Massachusetts: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 14, no. 2, e10198, 17 p., https://doi.org/10.1002/mcf2.10198.","productDescription":"e10198, 17 p.","ipdsId":"IP-112539","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":448215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10198","text":"Publisher Index Page"},{"id":398120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.93072509765625,\n              41.64213096472801\n            ],\n            [\n              -69.91973876953125,\n              41.77336007442076\n            ],\n            [\n              -69.93896484375,\n              41.881831370505594\n            ],\n            [\n              -69.98565673828125,\n              42.00848901572399\n            ],\n            [\n              -70.0762939453125,\n              42.07580094787546\n            ],\n            [\n              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]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalton, Rebecca M.","contributorId":289643,"corporation":false,"usgs":false,"family":"Dalton","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":839541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheppard, John J.","contributorId":200171,"corporation":false,"usgs":false,"family":"Sheppard","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":270782,"corporation":false,"usgs":false,"family":"Finn","given":"John T.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":839543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordaan, Adrian","contributorId":240665,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":839544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":839545,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237757,"text":"70237757 - 2022 - Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","interactions":[],"lastModifiedDate":"2022-10-21T15:27:22.011609","indexId":"70237757","displayToPublicDate":"2022-04-05T10:21:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA","docAbstract":"<p><span>Aqueous transport of mercury (Hg) across the landscape is closely linked to dissolved organic matter (DOM). Both quantity and quality of DOM affect Hg mobility, as well as the formation and transport of toxic methylmercury (MeHg), but only a limited number of field studies have investigated Hg and MeHg with respect to specific DOM components. We investigated these interactions at the 41-ha forested W-9 catchment at Sleepers River, Vermont, which has a long history of mercury and other biogeochemical research. We examined spatial and temporal patterns of filtered Hg fractions and dissolved organic carbon (DOC) concentration, DOM quality, and major solutes at 12 stream sites within W-9 and the downstream W-3 gage (837 ha) over five sampling campaigns including a large (79 mm) fall storm, spring snowmelt, and three seasonally contrasting base flow periods. Filtered total Hg (THg), MeHg, and DOC concentrations increased in order base flow &lt; snowmelt &lt; fall storm, except that MeHg remained at baseflow levels during snowmelt. Ranges of median concentrations across sites for the five campaigns were THg, &lt;0.2–4.1&nbsp;ng L</span><sup>−1</sup><span>; MeHg, &lt;0.03–0.45 ng L</span><sup>−1</sup><span>; and DOC, 0.8–14.0&nbsp;mg L</span><sup>−1</sup><span>. Humic-like DOM fluorescence components, as determined by parallel factor analysis (PARAFAC), dominated the fluorescence across sites and sampling campaigns. THg correlated strongly (</span><i>r</i><span> &gt; 0.94) with these humic components, but even more strongly with bulk DOC and absorbance at 254 nm (UV</span><sub>254</sub><span>;&nbsp;</span><i>r</i><span> &gt; 0.96), and less strongly with protein-like DOM (0.7 &lt; </span><i>r</i><span> &lt; 0.9). MeHg correlated in the same order but less strongly with humic- (0.8 &lt; </span><i>r</i><span> &lt; 0.9) and protein-like (0.6 &lt; </span><i>r</i><span> &lt; 0.8) DOM. MeHg increased in summer, potentially in response to enhanced microbial production in warmer periods. MeHg formation may have been linked to protein-like DOM, but its transport was linked to humic-like DOM.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14572","usgsCitation":"Shanley, J.B., Taylor, V., Ryan, K.A., Chalmers, A., Perdrial, J., and Stubbins, A., 2022, Using dissolved organic matter fluorescence to predict total mercury and methylmercury in forested headwater streams, Sleepers River, Vermont USA: Hydrological Processes, v. 36, no. 5, e14572, 17 p., https://doi.org/10.1002/hyp.14572.","productDescription":"e14572, 17 p.","ipdsId":"IP-124934","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":408612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.05866635329214,\n              44.34647865583793\n            ],\n            [\n              -72.40758066011205,\n              44.34647865583793\n            ],\n            [\n              -72.40758066011205,\n              44.188052738709075\n            ],\n            [\n              -72.05866635329214,\n              44.188052738709075\n            ],\n            [\n              -72.05866635329214,\n              44.34647865583793\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Vivien F.","contributorId":296971,"corporation":false,"usgs":false,"family":"Taylor","given":"Vivien F.","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":855460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Kevin A.","contributorId":298331,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalmers, Ann T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":298370,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":855464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230186,"text":"sir20225028 - 2022 - Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","interactions":[],"lastModifiedDate":"2022-04-14T15:49:32.631296","indexId":"sir20225028","displayToPublicDate":"2022-04-05T09:50:00","publicationYear":"2022","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":"2022-5028","displayTitle":"Using Microbial Source Tracking To Identify Fecal Contamination Sources in Sag Harbor on Long Island, New York","title":"Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York","docAbstract":"<p>The U.S. Geological Survey worked in cooperation with the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Sag Harbor, an embayment complex on the northern shore of the south fork of Suffolk County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the harbor and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.</p><p>Analysis revealed that the most substantial source of fecal contamination to Sag Harbor was discharge from sites draining ponds and wetlands, particularly during the summer months. Fecal coliform bacteria at sites where ponds and wetlands drain are increased by stormwater runoff, which is another substantial source of fecal contamination. Human markers were detected in all four samples at the Sag Harbor Sewage Treatment Plant Outfall site but were associated with low fecal coliform concentrations, indicating that the sewage treatment plant is not a likely source of fecal contamination to the embayment. The Ligonee Brook Culvert, Paynes Creek near Marjorie Lane, and Otter Pond Culvert sites were identified as locations that contribute fecal contamination to Sag Harbor. These three locations had high fecal coliform bacteria concentrations in the summer, one of which was positive for canine microbial source tracking markers (Ligonee Brook Culvert), and another positive for waterfowl markers (Paynes Creek near Marjorie Lane). The absence of fecal coliform bacteria and human microbial source tracking markers in groundwater samples indicates that water from septic systems does not influence the harbor; however, elevated fecal coliform bacteria concentrations were not often detected. Further, the sandy sediment alongside Sag Harbor is unlikely to contribute fecal coliform bacteria when resuspended in the water column through tidal shifts or boat activity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225028","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Tagliaferri, T.N., Fisher, S.C., Kephart, C.M., Cheung, N., Reed, A.P., and Welk, R.J., 2022, Using microbial source tracking to identify fecal contamination sources in Sag Harbor on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5028, 17 p., https://doi.org/10.3133/sir20225028.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129683","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":398006,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20215033","text":"Scientific Investigations Report 2021–5033","linkHelpText":"- Overview and Methodology for a Study To Identify Fecal Contamination Sources Using Microbial Source Tracking in Seven Embayments on Long Island, New York"},{"id":398104,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225028/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":398001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5028/coverthb.jpg"},{"id":398002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.pdf","text":"Report","size":"1.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5028"},{"id":398003,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5028/sir20225028.XML"},{"id":398004,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5028/images/"},{"id":398005,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"USGS water data for the nation"}],"country":"United States","state":"New York","city":"Sag Harbor","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.31269836425781,\n              40.98896902507167\n            ],\n            [\n              -72.27458953857422,\n              40.98896902507167\n            ],\n            [\n              -72.27458953857422,\n              41.0102160917684\n            ],\n            [\n              -72.31269836425781,\n              41.0102160917684\n            ],\n            [\n              -72.31269836425781,\n              40.98896902507167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180-8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Site Description</li><li>Approach and Methods</li><li>Results</li><li>Classification of Source Sites</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sample Collection in Sag Harbor on Long Island, New York</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2022-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839413,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230217,"text":"70230217 - 2022 - Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA","interactions":[],"lastModifiedDate":"2025-02-10T21:22:17.746379","indexId":"70230217","displayToPublicDate":"2022-04-05T09:36:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10535,"text":"Journal of Disaster Prevention and Management","active":true,"publicationSubtype":{"id":10}},"title":"Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA","docAbstract":"<p class=\"intent_sub_title Abstract__block__title mb-1 mt-3\"><strong>Purpose</strong></p><p class=\"intent_sub_title Abstract__block__title mb-1 mt-3\">The 2019 Global Assessment Report on Disaster Risk Reduction (GAR) cites earthquakes as the most damaging natural hazard globally, causing billions of dollars of damage and killing thousands of people. Earthquakes have the potential to drastically impact physical, social and economic landscapes; to reduce this risk, earthquake early warning (EEW) systems have been developed. However, these technical EEW systems do not operate in a vacuum; the inequities in social systems, along with the needs of diverse populations, must be considered when developing these systems and their associated communication campaigns.</p><p class=\"intent_sub_title Abstract__block__title mb-1 mt-3\"><strong>Design/methodology/approach</strong></p><div class=\"intent_sub_item Abstract__block\"><p>This article reviews aspects of social vulnerability as they relate to ShakeAlert, the EEW system for the USA. The authors identified two theories (relationship management theory and mute group theory) to inform self-reflective questions for agencies managing campaigns for EEW systems, which can assist in the development of more inclusive communication practices. Finally, the authors suggest this work contributes to important conversations about diversity, equity and inclusion (DEI) issues within early warning systems and earthquake preparedness campaigns in general.</p><p><strong>Findings</strong></p></div><div class=\"intent_sub_item Abstract__block\"><p>To increase inclusivity, Macnamara (2012) argues that self-reflective questioning while analyzing perspective, philosophy and approaches for a campaign can help. Specific to EEW campaigns, developers may find self-reflective questions a useful approach to increase inclusion. These questions are guided by two theories and are explored in the paper.</p><p><strong>Research limitations/implications</strong></p></div><div class=\"intent_sub_item Abstract__block\"><p>Several research limitations exist. First, this work explores two theories to develop a combined theoretical model for self-reflective questions. Further research is required to determine if this approach and the combination of these two theories have adequately informed the development of the reflective questions.</p><p><strong>Orginality/value</strong></p></div><div class=\"intent_sub_item Abstract__block\"><p>The authors could find little peer-reviewed work examining DEI for EEW systems, and ShakeAlert in particular. While articles on early warning systems exist that explore aspects of this, EEW and ShakeAlert, with its very limited time frames for warnings, creates unique challenges.</p></div>","language":"English","publisher":"Emerald Publishing","doi":"10.1108/DPM-03-2021-0090","usgsCitation":"Jenkins, M.R., McBride, S., Morgoch, M., and Smith, H., 2022, Considerations for creating equitable and inclusive communication campaigns associated with ShakeAlert, the earthquake early warning system for the West Coast of the USA: Journal of Disaster Prevention and Management, v. 31, no. 1, p. 79-91, https://doi.org/10.1108/DPM-03-2021-0090.","productDescription":"13 p.","startPage":"79","endPage":"91","ipdsId":"IP-127651","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":398110,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":448218,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1108/dpm-03-2021-0090","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"West Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.2880859375,\n              48.545705491847464\n            ],\n            [\n              -124.3212890625,\n              46.195042108660154\n            ],\n            [\n              -125.0244140625,\n              42.97250158602597\n            ],\n            [\n              -124.62890625,\n              41.409775832009565\n            ],\n            [\n              -124.98046874999999,\n              40.38002840251183\n            ],\n            [\n              -120.84960937499999,\n              33.90689555128866\n            ],\n            [\n              -117.861328125,\n              32.76880048488168\n            ],\n            [\n              -117.20214843749999,\n              32.39851580247402\n            ],\n            [\n              -116.05957031249999,\n              32.65787573695528\n            ],\n            [\n              -116.93847656250001,\n              34.016241889667015\n            ],\n            [\n              -119.70703125,\n              35.10193405724606\n            ],\n            [\n              -123.22265625000001,\n              40.413496049701955\n            ],\n            [\n              -122.87109375,\n              41.902277040963696\n            ],\n            [\n              -123.31054687499999,\n              43.16512263158296\n            ],\n            [\n              -122.73925781250001,\n              45.73685954736049\n            ],\n            [\n              -121.5087890625,\n              48.980216985374994\n            ],\n            [\n              -123.662109375,\n              48.951366470947725\n            ],\n            [\n              -125.2880859375,\n              48.545705491847464\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Mariah Ramona","contributorId":289669,"corporation":false,"usgs":true,"family":"Jenkins","given":"Mariah","email":"","middleInitial":"Ramona","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":839577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara","contributorId":350763,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":926946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgoch, Meredith","contributorId":269657,"corporation":false,"usgs":false,"family":"Morgoch","given":"Meredith","email":"","affiliations":[],"preferred":false,"id":839579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Hollie","contributorId":269656,"corporation":false,"usgs":false,"family":"Smith","given":"Hollie","email":"","affiliations":[],"preferred":false,"id":839580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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