{"pageNumber":"294","pageRowStart":"7325","pageSize":"25","recordCount":68835,"records":[{"id":70203356,"text":"70203356 - 2019 - Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects","interactions":[],"lastModifiedDate":"2023-03-27T22:40:00.993046","indexId":"70203356","displayToPublicDate":"2019-05-08T10:02:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects","docAbstract":"<p><span>The invasion of the Laurentian Great Lakes of North America by sea lampreys (</span><span><i>Petromyzon marinus</i></span><span>) in the early 20th century contributed to the depletion of commercial, recreational and culturally important fish populations, devastating the economies of communities that relied on the fishery. Sea lamprey populations were subsequently controlled using an aggressive integrated pest-management program which employed barriers and traps to prevent sea lamprey from migrating to their spawning grounds and the use of the piscicides (lampricides) 3-trifluoromethyl-4-nitrophenol (TFM) and&nbsp;niclosamide&nbsp;to eliminate larval sea lampreys from their nursery streams. Although sea lampreys have not been eradicated from the Great Lakes, populations have been suppressed to less than 10% of their peak numbers in the mid-1900s. The ongoing use of lampricides provides the foundation for sea lamprey control in the Great Lakes, one of the most successful&nbsp;invasive species&nbsp;control programs in the world. Yet, significant gaps remain in our understanding of how lampricides are taken-up and handled by sea lampreys, how lampricides exert their toxic effects, and how they adversely affect non-target invertebrate and vertebrates species. In this review we examine what has been learned about the uptake, handling and elimination, and the mode of TFM and niclosamide toxicity in lampreys and in non-target animals, particularly in the last 10 years. It is now clear that the mode of TFM toxicity is the same in non-target fishes and lampreys, in which TFM interferes with&nbsp;oxidative phosphorylation&nbsp;by the mitochondria leading to decreased ATP production. Vulnerability to TFM is related to abiotic factors such as water pH and alkalinity, which we propose changes the relative amounts of the bioavailable un-ionized form of TFM in the gill microenvironment. Niclosamide, which is also a molluscicide used to control snails in areas prone to schistosomiasis infections of humans, also likely works by uncoupling oxidative phosphorylation, but less is known about other aspects of its toxicology. The effects of TFM include reductions in energy stores, particularly glycogen and high energy phosphagens. However, non-target fishes readily recover from sub-lethal TFM exposure as demonstrated by the rapid restoration of energy stores and clearance of TFM. Although both TFM and niclosamide are non-persistent in the environment and critical for sea lamprey control, increasing public and institutional concerns about pesticides in the environment makes it imperative to explore other means of sea lamprey control. Accordingly, we also address possible “next-generation” strategies of sea lamprey control including genetic tools such as&nbsp;RNA interference&nbsp;and CRISPR-Cas9 to impair critical physiological processes (e.g. reproduction, digestion, metamorphosis) in lamprey, and the use of green chemistry to develop more environmentally benign chemical methods of sea lamprey control.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2018.12.012","usgsCitation":"Wilkie, M., Hubert, T., Boogaard, M.A., and Birceanu, O., 2019, Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects: Aquatic Toxicology, v. 211, p. 235-252, https://doi.org/10.1016/j.aquatox.2018.12.012.","productDescription":"18 p.","startPage":"235","endPage":"252","ipdsId":"IP-099479","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467629,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2018.12.012","text":"Publisher Index Page"},{"id":363583,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              41.178653972331674\n            ],\n            [\n              -75.8056640625,\n              41.178653972331674\n            ],\n            [\n              -75.8056640625,\n              49.06666839558117\n            ],\n            [\n              -93.8671875,\n              49.06666839558117\n            ],\n            [\n              -93.8671875,\n              41.178653972331674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"211","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkie, Michael","contributorId":215419,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":762286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubert, Terrance 0000-0001-9712-1738","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":215420,"corporation":false,"usgs":false,"family":"Hubert","given":"Terrance","affiliations":[{"id":39242,"text":"UMESC (retired)","active":true,"usgs":false}],"preferred":false,"id":762287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":762285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birceanu, Oana","contributorId":215421,"corporation":false,"usgs":false,"family":"Birceanu","given":"Oana","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":762288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204958,"text":"70204958 - 2019 - Temperature mediates secondary dormancy in resting cysts of Pyrodinium bahamense (Dinophyceae)","interactions":[],"lastModifiedDate":"2025-05-13T16:16:53.501337","indexId":"70204958","displayToPublicDate":"2019-05-08T09:06:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2422,"text":"Journal of Phycology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Temperature mediates secondary dormancy in resting cysts of <i>Pyrodinium bahamense</i> (Dinophyceae)","title":"Temperature mediates secondary dormancy in resting cysts of Pyrodinium bahamense (Dinophyceae)","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>High‐biomass blooms of the toxic dinoflagellate<span>&nbsp;</span><i>Pyrodinium bahamense</i><span>&nbsp;</span>occur most summers in Tampa Bay, Florida, USA, posing a recurring threat to ecosystem health. Like many dinoflagellates,<span>&nbsp;</span><i>P. bahamense</i><span>&nbsp;</span>forms immobile resting cysts that can be deposited on the seafloor—creating a seed bank that can retain the organism within the ecosystem and initiate future blooms when cysts germinate. In this study, we examined changes in the dormancy status of cysts collected from Tampa Bay and applied lessons from plant ecology to explore dormancy controls.<span>&nbsp;</span><i>Pyrodinium bahamense</i><span>&nbsp;</span>cysts incubated immediately after field collection displayed a seasonal pattern in dormancy and germination that matched the pattern of cell abundance in the water column. Newly deposited (surface) cysts and older (buried) cysts exhibited similar germination patterns, suggesting that a common mechanism regulates dormancy expression in new and mature cysts. Extended cool‐ and warm‐temperature conditioning of field‐collected cysts altered the cycle of dormancy compared with that of cysts in nature, with the duration of cool temperature exposure being the best predictor of when cysts emerged from dormancy. Extended warm conditioning, on the other hand, elicited a return to dormancy, or secondary dormancy, in nondormant cysts. These results directly demonstrate environmental induction of secondary dormancy in dinoflagellates—a mechanism common and thoroughly documented in higher plants with seasonal growth cycles. Our findings support the hypothesis that a seasonal cycle in cyst germination drives<span>&nbsp;</span><i>P. bahamense</i><span>&nbsp;</span>bloom periodicity in Tampa Bay and point to environmentally induced secondary dormancy as an important regulatory factor of that cycle.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jpy.12883","usgsCitation":"Lopez, C.B., Karim, A., Murasko, S., Marot, M.E., Smith, C.G., and Corcoran, A.A., 2019, Temperature mediates secondary dormancy in resting cysts of Pyrodinium bahamense (Dinophyceae): Journal of Phycology, v. 55, no. 4, p. 924-955, https://doi.org/10.1111/jpy.12883.","productDescription":"32 p.","startPage":"924","endPage":"955","ipdsId":"IP-101479","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":366949,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.06488037109375,\n              27.437602864300448\n            ],\n            [\n              -82.2601318359375,\n              27.437602864300448\n            ],\n            [\n              -82.2601318359375,\n              28.11801628757283\n            ],\n            [\n              -83.06488037109375,\n              28.11801628757283\n            ],\n            [\n              -83.06488037109375,\n              27.437602864300448\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Cary B.","contributorId":218435,"corporation":false,"usgs":false,"family":"Lopez","given":"Cary","email":"","middleInitial":"B.","affiliations":[{"id":39849,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":769274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karim, Aliza","contributorId":218436,"corporation":false,"usgs":false,"family":"Karim","given":"Aliza","email":"","affiliations":[{"id":39850,"text":"Oregon Institute for Marine Biology","active":true,"usgs":false}],"preferred":false,"id":769275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murasko, Susan","contributorId":218437,"corporation":false,"usgs":false,"family":"Murasko","given":"Susan","email":"","affiliations":[{"id":39849,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":769276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corcoran, Alina A.","contributorId":218438,"corporation":false,"usgs":false,"family":"Corcoran","given":"Alina","email":"","middleInitial":"A.","affiliations":[{"id":39851,"text":"Sapphire Energy, Inc","active":true,"usgs":false}],"preferred":false,"id":769277,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223339,"text":"70223339 - 2019 - Hydrologic modifications challenge bottomland hardwood forest management","interactions":[],"lastModifiedDate":"2021-08-24T13:07:34.23401","indexId":"70223339","displayToPublicDate":"2019-05-08T08:05:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2297,"text":"Journal of Forestry","onlineIssn":"1938-3746","printIssn":"0022-1201","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modifications challenge bottomland hardwood forest management","docAbstract":"<p class=\"chapter-para\">Bottomland hardwoods are floodplain forests along rivers and streams throughout the southeastern United States. The interrelations among hydrology, soils, geomorphic landforms, and tree species composition are the foundation of forest management in bottomland hardwoods, and historically their correspondence has allowed for somewhat predictable forest responses based upon the hydrogeomorphic setting. However, extensive hydrologic and geomorphic modifications in floodplains have disrupted these interrelations and, on many sites, have created novel disturbance regimes resulting in unpredictable forest responses. Reduced or altered timing of surface flooding and groundwater declines are common in the region and have favored increases in stem densities, particularly of species less tolerant of flooding and more tolerant of shade. In these highly modified systems, more process-level understanding of floodplain hydrology, soil moisture dynamics, interspecific tree competition, and regeneration is needed to develop more effective management prescriptions and for forestry to be represented in integrated water-resource management decisions.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jofore/fvz025","usgsCitation":"King, S.L., and Keim, R., 2019, Hydrologic modifications challenge bottomland hardwood forest management: Journal of Forestry, v. 117, no. 5, p. 504-514, https://doi.org/10.1093/jofore/fvz025.","productDescription":"11 p.","startPage":"504","endPage":"514","ipdsId":"IP-102468","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jofore/fvz025","text":"Publisher Index Page"},{"id":388415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, R.F.","contributorId":264646,"corporation":false,"usgs":false,"family":"Keim","given":"R.F.","affiliations":[{"id":54524,"text":"Lousiiana State University","active":true,"usgs":false}],"preferred":false,"id":821807,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206750,"text":"70206750 - 2019 - An integrated framework for ecological drought across riverscapes of North America","interactions":[],"lastModifiedDate":"2019-11-21T06:38:15","indexId":"70206750","displayToPublicDate":"2019-05-08T06:32:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"An integrated framework for ecological drought across riverscapes of North America","docAbstract":"Climate change is increasing the severity and extent of extreme droughts events, posing a critical threat to freshwater ecosystems, particularly with increasing human demands for diminishing water supplies.  Despite the importance of drought as a significant driver of ecological and evolutionary dynamics, current understanding of drought consequences for freshwater biodiversity is very limited.  We describe key barriers that hinder integrative drought research and monitoring across riverscapes.  The primary constraint limiting understanding of ecological drought is an existing monitoring framework focused on human water consumption and flood risk in mainstem rivers.  This approach is misaligned with escalating needs for research and data collection that illuminate exposure, sensitivity, and adaptive capacity (i.e., vulnerability) of biota to drought across entire riverscapes.  We present a hierarchical framework for integrated ecological drought monitoring and research that addresses drought vulnerability across riverscapes, and describe how this approach can directly inform natural-resource management.","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biz040","usgsCitation":"Kovach, R., Dunham, J.B., Al-Chokhachy, R., Snyder, C., Beever, E., Pederson, G.T., Lynch, A., Hitt, N.P., Konrad, C., Jaeger, K.L., Rea, A.H., Sepulveda, A.J., Lambert, P.M., Stoker, J.M., Giersch, J.J., and Muhlfeld, C.C., 2019, An integrated framework for ecological drought across riverscapes of North America: BioScience, v. 69, no. 6, p. 418-431, https://doi.org/10.1093/biosci/biz040.","productDescription":"14 p.","startPage":"418","endPage":"431","ipdsId":"IP-102444","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":775669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","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},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":775653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert","contributorId":220764,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":775654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Craig 0000-0002-3448-597X","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":220765,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":775655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":775658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":775659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":775660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":775661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Konrad, Christopher P. 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":217885,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775662,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775663,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rea, Alan H. 0000-0002-0406-9596 ahrea@usgs.gov","orcid":"https://orcid.org/0000-0002-0406-9596","contributorId":206357,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","email":"ahrea@usgs.gov","middleInitial":"H.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":775664,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":775665,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lambert, Patrick M. 0000-0001-6808-2303 plambert@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-2303","contributorId":349,"corporation":false,"usgs":true,"family":"Lambert","given":"Patrick","email":"plambert@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":775666,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":775667,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":775668,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":775652,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70202697,"text":"sir20185071 - 2019 - Basin, climatic, and irrigation factors associated with median summer water yields for streams in Southwestern Michigan, 1945-2015","interactions":[],"lastModifiedDate":"2020-08-31T14:19:50.435364","indexId":"sir20185071","displayToPublicDate":"2019-05-07T16:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5071","displayTitle":"Basin, Climatic, and Irrigation Factors Associated with Median Summer Water Yields for Streams  in Southwestern Michigan, 1945-2015","title":"Basin, climatic, and irrigation factors associated with median summer water yields for streams in Southwestern Michigan, 1945-2015","docAbstract":"<p>Median summer water yields and resultant flows for streams are used in Michigan to regulate large water withdrawals to help prevent negative effects on characteristic fish populations. Large water withdrawals commonly are associated with irrigation in rural areas. In an earlier statewide report, an index-flow statistic for the period of record, defined as the median flow during the summer month of lowest flow, was used to characterize median summer flows and associated water yields. In this report, the annual series of median summer water yields for the period July 1 through September 30 within the period of record is used to characterize median summer water yields. For 27 streamgages included in both reports, the average index water yield was at the 37th percentile of the distribution of median summer water yields. In contrast to an index statistic, an annual time series provides a basis for detecting trends in median summer water yields and for determining basin, climatic, and irrigation factors affecting spatial and temporal variations in summer water yields. Daily flow data from 40 selected U.S. Geological Survey streamgages in southwestern Michigan were used in this analysis. Two mixed models were identified to estimate median summer water yields based on fixed basin characteristics and temporally varying climatic factors for 1945–2015. No irrigation data were available prior to 1970, so no irrigation variables were included in the mixed models for 1945–2015. Then, two mixed models were developed for 1970–2015, a period in which a partial annual series of county-level irrigation data also were available. One of the 1970–2015 mixed models provides a basis for estimating median summer water yields at sites in southwestern Michigan using an estimated trend component, and selected basin, climatic, and irrigation factors. Re-estimation of model parameters in this mixed model with more spatially precise information on irrigation withdrawals may improve model accuracy.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185071","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality","usgsCitation":"Holtschlag, D.J., 2019, Basin, climatic, and irrigation factors associated with median summer water yields for streams in southwestern Michigan, 1945–2015: U.S. Geological Survey Scientific Investigations Report 2018–5071, 23 p., https://doi.org/10.3133/sir20185071.","productDescription":"Report: vii, 23 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-093386","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":363517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5071/sir20185071.pdf","text":"Report","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5071"},{"id":363516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5071/coverthb.jpg"},{"id":363518,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/item/5c7d7268e4b0fe48cb532c2f","text":"USGS data release","description":"USGS data release","linkHelpText":"- Data on Factors Affecting Spatial and Temporal Variations of Annual Summer Median Water Yields in Southwestern Michigan, 1945-2015"}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.671142578125,\n              41.599013054830216\n            ],\n            [\n              -84.385986328125,\n              41.599013054830216\n            ],\n            [\n              -84.385986328125,\n              43.30919109985686\n            ],\n            [\n              -86.671142578125,\n              43.30919109985686\n            ],\n            [\n              -86.671142578125,\n              41.599013054830216\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/umid-water\" data-mce-href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>6520 Mercantile Way, Suite 5<br>Lansing, MI 48911</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Annual Series of Median Summer Flows and the Period of Record Index Flow Statistic</li><li>Estimation of Median Summer Water Yields Using Mixed Models</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-05-07","noUsgsAuthors":false,"publicationDate":"2019-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Holtschlag, David J. 0000-0001-5185-4928","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":214278,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759528,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203340,"text":"70203340 - 2019 - Resilience of benthic macroinvertebrates to extreme floods in a Catskill Mountain river, New York, USA: Implications for water quality monitoring and assessment","interactions":[],"lastModifiedDate":"2023-03-28T15:01:01.548244","indexId":"70203340","displayToPublicDate":"2019-05-07T09:32:26","publicationYear":"2019","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":"Resilience of benthic macroinvertebrates to extreme floods in a Catskill Mountain river, New York, USA: Implications for water quality monitoring and assessment","docAbstract":"Changes in the timing, magnitude, frequency, and duration of extreme hydrologic events are becoming apparent and could disrupt species assemblages and stream ecosystems across the Northeastern United States. Between August 28 and 29 of 2011, an average of 31 cm of rain from Tropical Storm Irene fell across Eastern New York State in less than 24 h and caused historic flooding in numerous streams of the Catskill Mountain Region. Peak discharges exceeded the 0.01 annual exceedance probability (> 100 year flood) in many Catskill Mountain streams. Approximately one week later, the remnants of Tropical Storm Lee deposited another 19 cm of rain onto saturated soils and caused additional flooding. Data from annual benthic macroinvertebrate surveys completed at 5 sites in the Upper Esopus Creek, a premier trout stream in the region, during August 2009–2011 (before the floods) were compared to data collected from the same sites in September 2011, November 2011, March 2012 and August 2012 (after the floods). The impact, rate of recovery and the factors which might affect the resilience of benthic macroinvertebrate communities were evaluated. The results of biological water quality assessment metrics immediately after the floods resembled those of highly polluted waters, yet severe floods were the only disturbance. Prior to the floods, standard biological assessment metrics showed that communities were not impacted and water quality was pristine. A large decrease in macroinvertebrate density was evident in the September 2011 surveys following the floods and bioassessment metrics reflected highly degraded water quality conditions. Most community metrics rebounded in 3–7 months (November 2011 and March 2012), and full recovery was evident in 12 months (August 2012) which suggests that macroinvertebrate assemblages are relatively resilient to the effects of extreme floods in these low-order streams. Therefore, macroinvertebrate samples collected from a flood-impacted stream before full recovery occurs might reflect loss of diversity and abundance from the flood disturbance and incorrectly attribute the impact to impaired water quality. The strong short-term impacts and the relatively rapid recovery of macroinvertebrate communities following catastrophic floods have important ramifications for routine bioassessment programs considering changing hydrologic regimes in streams across the Northeast and elsewhere.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.04.057","usgsCitation":"Smith, A.J., Baldigo, B.P., Duffy, B.T., George, S.D., and Dresser, B., 2019, Resilience of benthic macroinvertebrates to extreme floods in a Catskill Mountain river, New York, USA: Implications for water quality monitoring and assessment: Ecological Indicators, v. 104, p. 107-115, https://doi.org/10.1016/j.ecolind.2019.04.057.","productDescription":"9 p.","startPage":"107","endPage":"115","ipdsId":"IP-088586","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":363550,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Upper Esopus Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.8774721023475,\n              42.15605300055455\n            ],\n            [\n              -74.8774721023475,\n              41.85645574280821\n            ],\n            [\n              -74.24721282626231,\n              41.85645574280821\n            ],\n            [\n              -74.24721282626231,\n              42.15605300055455\n            ],\n            [\n              -74.8774721023475,\n              42.15605300055455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"104","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Alexander J.","contributorId":168509,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":762212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffy, Brian T","contributorId":215384,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T","affiliations":[{"id":39232,"text":"Research Scientist, NY State Dept of Environmental Conservation, Albany NY","active":true,"usgs":false}],"preferred":false,"id":762213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dresser, Brian","contributorId":215385,"corporation":false,"usgs":false,"family":"Dresser","given":"Brian","email":"","affiliations":[{"id":39233,"text":"Retired, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":762215,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205086,"text":"70205086 - 2019 - Integrated modeling reveals shifts in waterfowl population dynamics under climate change","interactions":[],"lastModifiedDate":"2019-09-04T14:53:34","indexId":"70205086","displayToPublicDate":"2019-05-07T09:25:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Integrated modeling reveals shifts in waterfowl population dynamics under climate change","docAbstract":"<p>1. Climate change has been identified as one of the most important drivers of wildlife populations. The development of appropriate conservation strategies relies on reliable predictions of population responses to climate change, which require in-depth understanding of the complex relationships between climate and population dynamics through density dependent demographic processes. Integrated population models (IPMs) are a type of modeling approach that unify the analyses of demography and abundance data, providing opportunities to understand and predict population demography and dynamics under climate change. 2. In this study we developed dynamic N-mixture models for large scale population estimates, which became an important component of the IPM we used in data analysis. We then analyzed four decades (1974-2014) of Mallard (<i>Anas platyrhynchos</i>) breeding population survey, band-recovery, and climate data covering a large spatial extent from North American prairies through boreal habitat to Alaska. Our goals were to examine the complex relationships among climate, density dependent processes, waterfowl population demography and dynamics, identify the key demographic parameters that are sensitive to climate change and are influential to population growth, and forecast population responses to climate change. 3. Our results revealed the interactive effects of temperature and density dependent processes on Mallard recruitment and to a less extent apparent survival. We also found that recruitment explained more variance of population growth than apparent survival. We then forecasted a decrease in Mallard breeding population density in the Northern Prairie Potholes and an increase in Mallard breeding population density in the northern part of our study area, indicating potential shifts in Mallard population dynamics under future climate change. 4. Synthesis and applications Different strategies need to be considered across regions to conserve waterfowl populations under climate change. Strategies that facilitate recruitment are essential for high-density populations that are relatively vulnerable to climate change. By contrast, low-density populations are relatively resilient to climate change and their habitats may serve as future climate refugia. Adaptive management is essential for evaluating management consequences. Our modelling framework approach can be easily adapted for other species and thus has wide applications in ecology and conservation.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04548","usgsCitation":"Qing Zhao, Boomer, S., and Royle, A., 2019, Integrated modeling reveals shifts in waterfowl population dynamics under climate change: Ecography, v. 42, no. 9, p. 1470-1481, https://doi.org/10.1111/ecog.04548.","productDescription":"12 p.","startPage":"1470","endPage":"1481","ipdsId":"IP-102365","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -180.703125,\n              52.696361078274485\n            ],\n            [\n              -172.08984375,\n              49.724479188712984\n            ],\n            [\n              -147.48046875,\n              59.44507509904714\n            ],\n            [\n              -127.96875,\n              60.1524422143808\n            ],\n            [\n              -128.32031249999997,\n              47.39834920035926\n            ],\n            [\n              -105.99609375,\n              47.87214396888731\n            ],\n            [\n              -104.58984375,\n              44.33956524809713\n            ],\n            [\n              -99.31640625,\n              43.96119063892024\n            ],\n            [\n              -99.49218749999999,\n              48.80686346108517\n            ],\n            [\n              -80.33203125,\n              48.80686346108517\n            ],\n            [\n              -80.15625,\n              49.95121990866204\n            ],\n            [\n              -80.15625,\n              52.482780222078226\n            ],\n            [\n              -128.84765625,\n              70.90226826757711\n            ],\n            [\n              -161.89453125,\n              73.17589717422607\n            ],\n            [\n              -180.703125,\n              52.696361078274485\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Qing Zhao","contributorId":213383,"corporation":false,"usgs":false,"family":"Qing Zhao","affiliations":[{"id":38743,"text":"Univ. Missouri","active":true,"usgs":false}],"preferred":false,"id":769943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, Scott","contributorId":218697,"corporation":false,"usgs":false,"family":"Boomer","given":"Scott","email":"","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":769944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203063,"text":"sir20195028 - 2019 - Flood-inundation maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 at Central, Louisiana","interactions":[],"lastModifiedDate":"2019-05-07T12:56:46","indexId":"sir20195028","displayToPublicDate":"2019-05-07T08:40:45","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5028","displayTitle":"Flood-Inundation Maps for the Amite and Comite Rivers From State Highway 64 To U.S. Highway 190 at Central, Louisiana","title":"Flood-inundation maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 at Central, Louisiana","docAbstract":"<p>Flood-inundation maps for a 14.5-mile reach of the Amite River and a 20.2-mile reach of the Comite River from State Highway 64 to U.S. Highway 190 were created by the U.S. Geological Survey (USGS) in cooperation with the City of Central, Louisiana. These maps, which can be accessed through an interactive mapper at the USGS Flood Inundation Mapping Program website and from a companion USGS data release, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages Amite River at Magnolia, La., (07377300) and Comite River near Comite, La. (07378000).</p><p>Flood profiles were computed for the Amite and Comite River reaches by using the two-dimensional (2D), finite-volume numerical modeling options in the U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System (USACE HEC-RAS) software version 5.0.3. Models were calibrated to the current (2018) stage-discharge relations at the Amite River at Magnolia, La., and Comite River near Comite, La., streamgages, water-surface profiles from the March and August 2016 floods, and documented high-water marks from the flood of August 2016.</p><p>The hydraulic models were used to compute 37 individual water-surface profiles (21 for the Amite River and 16 for the Comite River) at 1.0-foot intervals ranging from the National Weather Service flood stage to the highest peak on record at the two streamgages. The 37 simulated water-surface profiles were used with a light detection and ranging-derived digital elevation model to delineate the flood extent and associated depth at each water level. The delineated areas (inundation maps) were merged into 127 combinations or possible flooding scenarios based on annual peak stage information from the two streamgaging stations.</p><p>The availability of these maps, along with real-time data delivered via the internet, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for recovery efforts after floods.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195028","collaboration":"Prepared in cooperation with the City of Central, Louisiana","usgsCitation":"Storm, J.B., 2019, Flood-inundation maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 at Central, Louisiana: U.S. Geological Survey Scientific Investigations Report 2019–5028, 20 p., https://doi.org/10.3133/sir20195028.\n","productDescription":"Report: viii, 20 p.; Data Release; Flood Inundation Mapper","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-100404","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363430,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5028/sir20195028.pdf","text":"Report","size":"6.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5028"},{"id":363431,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PQKSYF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Flood Inundation Maps for the Amite and Comite Rivers from State Highway 64 to U.S. Highway 190 – City of Central, Louisiana"},{"id":363429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5028/coverthb.jpg"},{"id":363432,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program?qt-science_center_objects=0#qt-science_center_objects","text":"Flood Inundation Mapper","description":"Flood Inundation Mapper"}],"country":"United States","state":"Louisiana ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.3123779296875,\n              28.859107573773\n            ],\n            [\n              -93.3123779296875,\n              31.475524020001806\n            ],\n            [\n              -89.879150390625,\n              31.475524020001806\n            ],\n            [\n              -89.879150390625,\n              28.859107573773\n            ],\n            [\n              -93.3123779296875,\n              28.859107573773\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi Gulf Water Science Center</a> <br>U.S. Geological Survey <br>640 Grassmere Park, Ste 100 <br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydraulic Model Development and Flood-Inundation Map Library Creation</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-05-07","noUsgsAuthors":false,"publicationDate":"2019-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Storm, John B. 0000-0002-5657-536X jbstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-5657-536X","contributorId":3684,"corporation":false,"usgs":true,"family":"Storm","given":"John","email":"jbstorm@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761004,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203057,"text":"fs20193024 - 2019 - Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging","interactions":[],"lastModifiedDate":"2019-05-07T10:15:04","indexId":"fs20193024","displayToPublicDate":"2019-05-06T12:49:17","publicationYear":"2019","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":"2019-3024","displayTitle":"Remote Sensing of Streamflow in Alaska Rivers—New Technology to Improve Safety and Expand Coverage of USGS Streamgaging","title":"Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging","docAbstract":"<p>The U.S. Geological Survey monitors water level (water surface elevation relative to an arbitrary datum) and measures streamflow in Alaska rivers to compute and compile river flow records for use by water resource planners, engineers, and land managers to design infrastructure, manage floodplains, and protect life, property, and aquatic resources. 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River flow measurements are essential for wise and safe development and use of Alaska rivers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193024","usgsCitation":"Conaway, J.S., Eggleston, J., Legleiter, C.J., Jones, J.W., Kinzel, P.J., and Fulton, J.W., 2019, Remote sensing of river flow in Alaska—New technology to improve safety and expand coverage of USGS streamgaging: U.S. Geological Survey Fact Sheet 2019-3024, 4 p., https://doi.org/10.3133/fs20193024.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-101572","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science 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<a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Why Measuring River Flow in Alaska Is Important</li><li>How Streamflow Is Measured Today</li><li>How Remote Sensing Can Improve Flow Measurement</li><li>New Remote Sensing Technology</li><li>The Future of Remote Sensing Streamgages in Alaska</li><li>References</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-05-06","noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":760979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleston, John R. 0000-0001-6633-3041 jegglest@usgs.gov","orcid":"https://orcid.org/0000-0001-6633-3041","contributorId":3068,"corporation":false,"usgs":true,"family":"Eggleston","given":"John","email":"jegglest@usgs.gov","middleInitial":"R.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":760981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":760982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":760983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204999,"text":"70204999 - 2019 - Clustering and ensembling approaches to support surrogate-based species management","interactions":[],"lastModifiedDate":"2019-08-28T12:00:53","indexId":"70204999","displayToPublicDate":"2019-05-06T11:52:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Clustering and ensembling approaches to support surrogate-based species management","docAbstract":"<div id=\"ddi12933-sec-0001\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Aim</h3><p>Surrogate species can provide an efficient mechanism for biodiversity conservation if they encompass the needs or indicate the status of a broader set of species. When species that are the focus of ongoing management efforts act as effective surrogates for other species, these incidental surrogacy benefits lead to additional efficiency. Assessing surrogate relationships often relies on grouping species by distributional patterns or by species traits, but there are few approaches for integrating outputs from multiple methods into summaries of surrogate relationships that can inform decision‐making.</p></div><div id=\"ddi12933-sec-0002\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Location</h3><p>Prairie Pothole Region of the United States.</p></div><div id=\"ddi12933-sec-0003\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Methods</h3><p>We evaluated how well five upland‐nesting waterfowl species that are a focus of management may act as surrogates for other wetland‐dependent birds. We grouped species by their patterns of relative abundance at multiple scales and by different sets of traits, and evaluated whether empirical validation could effectively select among the resulting species groupings. We used an ensemble approach to integrate the different estimated relationships among species and visualized the ensemble as a network diagram.</p></div><div id=\"ddi12933-sec-0004\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Results</h3><p>Estimated relationships among species were sensitive to methodological decisions, with qualitatively different relationships arising from different approaches. An ensemble provided an effective tool for integrating across different estimates and highlighted the Sora (<i>Porzana carolina</i>), American Avocet (<i>Recurvirostra Americana</i>) and Black Tern (<i>Chlidonias niger</i>) as the non‐waterfowl species expected to show the strongest incidental surrogacy relationships with the waterfowl that are the focus of ongoing management.</p></div><div id=\"ddi12933-sec-0005\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Main conclusions</h3><p>An ensemble approach integrated multiple estimates of surrogate relationship strength among species and allowed for intuitive visualizations within a network. By accounting for methodological uncertainty while providing a simple continuous metric of surrogacy, our approach is amenable to both further validation and integration into decision‐making.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12933","usgsCitation":"Sofaer, H., Flather, C.H., Skagen, S., Steen, V., and Noon, B.R., 2019, Clustering and ensembling approaches to support surrogate-based species management: Diversity and Distributions, v. 25, no. 8, p. 1246-1258, https://doi.org/10.1111/ddi.12933.","productDescription":"13 p.","startPage":"1246","endPage":"1258","ipdsId":"IP-091141","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467641,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12933","text":"Publisher Index Page"},{"id":437472,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZMIATF","text":"USGS data release","linkHelpText":"Abundance of wetland-dependent birds at Breeding Bird Survey routes and associated land cover and climate information"},{"id":367009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366993,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1111/ddi.12933"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, North Dakota, Saskatchewan, South Dakota, ","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.4716796875,\n              42.09822241118974\n            ],\n            [\n              -93.515625,\n              44.465151013519616\n            ],\n            [\n              -95.2734375,\n              46.9502622421856\n            ],\n            [\n              -98.61328125,\n              51.20688339486559\n            ],\n            [\n              -101.6015625,\n              52.72298552457069\n            ],\n            [\n              -105.9521484375,\n              55.10351605801967\n            ],\n            [\n              -115.75195312499999,\n              55.727110085045986\n            ],\n            [\n              -114.47753906249999,\n              49.439556958940855\n            ],\n            [\n              -112.8515625,\n              48.545705491847464\n            ],\n            [\n              -101.6455078125,\n              47.81315451752768\n            ],\n            [\n              -99.7998046875,\n              44.08758502824516\n            ],\n            [\n              -93.515625,\n              41.934976500546604\n            ],\n            [\n              -93.4716796875,\n              42.09822241118974\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":769499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flather, Curtis H.","contributorId":177590,"corporation":false,"usgs":false,"family":"Flather","given":"Curtis","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":769500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":769502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steen, Valerie 0000-0002-1417-8139 vsteen@usgs.gov","orcid":"https://orcid.org/0000-0002-1417-8139","contributorId":218530,"corporation":false,"usgs":true,"family":"Steen","given":"Valerie","email":"vsteen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":769503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noon, Barry R.","contributorId":198981,"corporation":false,"usgs":false,"family":"Noon","given":"Barry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":769501,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202241,"text":"fs20193001 - 2019 - The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13","interactions":[],"lastModifiedDate":"2019-05-07T10:09:35","indexId":"fs20193001","displayToPublicDate":"2019-05-06T07:01:22","publicationYear":"2019","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":"2019-3001","displayTitle":"The Use of National Datasets to Produce an Average Annual Water Budget for the Mississippi Alluvial Plain, 2000–13","title":"The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13","docAbstract":"<h1>Overview</h1><p>Water is a critically important resource for the Mississippi Alluvial Plain (MAP) region, supporting a multibillion-dollar agricultural industry. There are concerns that continued withdrawals of groundwater for irrigation may decrease future water supplies. The U.S. Geological Survey has a history of conducting research in the MAP region and recently began an effort to integrate multiple monitoring analyses and modeling to characterize and project water availability for the region. Here, we utilize the data and results from existing national-scale datasets and refine them to create long-term steady state annual water budgets at a regional scale (the MAP) from 2000 to 2013. The water budget is described and mapped as the distribution of available water into three components: (1) evapotranspiration (65 percent); (2) quickflow runoff to streams (27 percent); and (3) groundwater recharge (8 percent). We also present a comparison of long-term recharge rates with groundwater extraction rates. These results will be useful as a starting point for the water budget and evaluations of future water availability in the MAP.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193001","usgsCitation":"Reitz, M., and Kress, W.H., The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000–13: U.S. Geological Survey Fact Sheet 2019–3001, 4 p., https://doi.org/10.3133/fs20193001.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-095792","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3001/coverthb.jpg"},{"id":363444,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3001/fs20193001.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3001"},{"id":363447,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PN93P0","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Annual estimates of recharge, quick-flow runoff, and ET for the contiguous US using empirical regression equations, 2000–2013"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Texas","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.3173828125,\n              29.075375179558346\n            ],\n            [\n              -87.5830078125,\n              29.075375179558346\n            ],\n            [\n              -87.5830078125,\n              37.38761749978395\n            ],\n            [\n              -95.3173828125,\n              37.38761749978395\n            ],\n            [\n              -95.3173828125,\n              29.075375179558346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey<br>640 Grassmere Park Drive <br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Overview</li><li>Introduction</li><li>Water Budget Estimates</li><li>Water-Use Data</li><li>Average Water Budgets for 2000–13</li><li>Recharge to Extraction Rate Comparison</li><li>Conclusions and Outlook</li><li>Acknowledgments</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-05-06","noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitz, Meredith 0000-0001-9519-6103 mreitz@usgs.gov","orcid":"https://orcid.org/0000-0001-9519-6103","contributorId":196694,"corporation":false,"usgs":true,"family":"Reitz","given":"Meredith","email":"mreitz@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":757451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203347,"text":"70203347 - 2019 - Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring","interactions":[],"lastModifiedDate":"2019-05-07T08:59:44","indexId":"70203347","displayToPublicDate":"2019-05-04T08:58:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring","docAbstract":"<p id=\"Par1\" class=\"Para\">Two commonly used approaches for water quality monitoring are probabilistic and targeted. In a probabilistic approach like the US Environmental Protection Agency’s National Rivers and Streams Assessment, monitoring sites are selected using a statistically representative approach. In a targeted approach like that used by many monitoring organizations, monitoring sites are chosen individually to answer specific questions. One important goal of both approaches is documenting long-term changes in water quality. Here, we compare chloride change results in US rivers and streams between the early 2000s and early 2010s from both approaches. The probabilistic approach provided an unbiased representation of change in all US rivers and streams, but was designed to measure low-streamflow conditions within a spring/summer index period during periodic survey years. The targeted approach was focused on larger, more developed watersheds but samples were collected frequently throughout the assessment period in different seasons and streamflows. The probabilistic results showed a small decrease in chloride concentrations in rivers and streams with the lowest concentrations, but no consistent increase or decrease in the remainder. The increased granularity of the targeted results showed that there was, in fact, a mix of changes occurring, with increases at 132 sites, decreases at 112 sites, and relatively stable conditions at 55 sites. The combined results suggest that chloride is not responding to a widespread, common driver across the USA and that management of chloride would be most effective when targeted regionally or locally.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-019-7481-5","usgsCitation":"Sprague, L.A., Mitchell, R., Pollard, A.I., and Falcone, J.A., 2019, Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring: Environmental Monitoring and Assessment, v. 191, no. 348, 12 p., https://doi.org/10.1007/s10661-019-7481-5.","productDescription":"12 p.","ipdsId":"IP-092845","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-019-7481-5","text":"Publisher Index Page"},{"id":363546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363545,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1007/s10661-019-7481-5"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-66.28243,18.51476],[-65.7713,18.42668],[-65.591,18.22803],[-65.84716,17.97591],[-66.59993,17.98182],[-67.18416,17.94655],[-67.24243,18.37446],[-67.10068,18.5206],[-66.28243,18.51476]]],[[[-155.54211,19.08348],[-155.68817,18.91619],[-155.93665,19.05939],[-155.90806,19.33888],[-156.07347,19.70294],[-156.02368,19.81422],[-155.85008,19.97729],[-155.91907,20.17395],[-155.86108,20.26721],[-155.78505,20.2487],[-155.40214,20.07975],[-155.22452,19.99302],[-155.06226,19.8591],[-154.80741,19.50871],[-154.83147,19.45328],[-155.22217,19.23972],[-155.54211,19.08348]]],[[[-156.07926,20.64397],[-156.41445,20.57241],[-156.58673,20.783],[-156.70167,20.8643],[-156.71055,20.92676],[-156.61258,21.01249],[-156.25711,20.91745],[-155.99566,20.76404],[-156.07926,20.64397]]],[[[-156.75824,21.17684],[-156.78933,21.06873],[-157.32521,21.09777],[-157.25027,21.21958],[-156.75824,21.17684]]],[[[-157.65283,21.32217],[-157.70703,21.26442],[-157.7786,21.27729],[-158.12667,21.31244],[-158.2538,21.53919],[-158.29265,21.57912],[-158.0252,21.71696],[-157.94161,21.65272],[-157.65283,21.32217]]],[[[-159.34512,21.982],[-159.46372,21.88299],[-159.80051,22.06533],[-159.74877,22.1382],[-159.5962,22.23618],[-159.36569,22.21494],[-159.34512,21.982]]],[[[-94.81758,49.38905],[-94.64,48.84],[-94.32914,48.67074],[-93.63087,48.60926],[-92.61,48.45],[-91.64,48.14],[-90.83,48.27],[-89.6,48.01],[-89.27292,48.01981],[-88.37811,48.30292],[-87.43979,47.94],[-86.46199,47.55334],[-85.65236,47.22022],[-84.87608,46.90008],[-84.77924,46.6371],[-84.54375,46.53868],[-84.6049,46.4396],[-84.3367,46.40877],[-84.14212,46.51223],[-84.09185,46.27542],[-83.89077,46.11693],[-83.61613,46.11693],[-83.46955,45.99469],[-83.59285,45.81689],[-82.55092,45.34752],[-82.33776,44.44],[-82.13764,43.57109],[-82.43,42.98],[-82.9,42.43],[-83.12,42.08],[-83.142,41.97568],[-83.02981,41.8328],[-82.69009,41.67511],[-82.43928,41.67511],[-81.27775,42.20903],[-80.24745,42.3662],[-78.93936,42.86361],[-78.92,42.965],[-79.01,43.27],[-79.17167,43.46634],[-78.72028,43.62509],[-77.73789,43.62906],[-76.82003,43.62878],[-76.5,44.01846],[-76.375,44.09631],[-75.31821,44.81645],[-74.867,45.00048],[-73.34783,45.00738],[-71.50506,45.0082],[-71.405,45.255],[-71.08482,45.30524],[-70.66,45.46],[-70.305,45.915],[-69.99997,46.69307],[-69.23722,47.44778],[-68.905,47.185],[-68.23444,47.35486],[-67.79046,47.06636],[-67.79134,45.70281],[-67.13741,45.13753],[-66.96466,44.8097],[-68.03252,44.3252],[-69.06,43.98],[-70.11617,43.68405],[-70.64548,43.09024],[-70.81489,42.8653],[-70.825,42.335],[-70.495,41.805],[-70.08,41.78],[-70.185,42.145],[-69.88497,41.92283],[-69.96503,41.63717],[-70.64,41.475],[-71.12039,41.49445],[-71.86,41.32],[-72.295,41.27],[-72.87643,41.22065],[-73.71,40.9311],[-72.24126,41.11948],[-71.945,40.93],[-73.345,40.63],[-73.982,40.628],[-73.95232,40.75075],[-74.25671,40.47351],[-73.96244,40.42763],[-74.17838,39.70926],[-74.90604,38.93954],[-74.98041,39.1964],[-75.20002,39.24845],[-75.52805,39.4985],[-75.32,38.96],[-75.07183,38.78203],[-75.05673,38.40412],[-75.37747,38.01551],[-75.94023,37.21689],[-76.03127,37.2566],[-75.72205,37.93705],[-76.23287,38.31921],[-76.35,39.15],[-76.54272,38.71762],[-76.32933,38.08326],[-76.99,38.23999],[-76.30162,37.91794],[-76.25874,36.9664],[-75.9718,36.89726],[-75.86804,36.55125],[-75.72749,35.55074],[-76.36318,34.80854],[-77.39763,34.51201],[-78.05496,33.92547],[-78.55435,33.86133],[-79.06067,33.49395],[-79.20357,33.15839],[-80.30132,32.50935],[-80.86498,32.0333],[-81.33629,31.44049],[-81.49042,30.72999],[-81.31371,30.03552],[-80.98,29.18],[-80.53558,28.47213],[-80.53,28.04],[-80.05654,26.88],[-80.08801,26.20576],[-80.13156,25.81677],[-80.38103,25.20616],[-80.68,25.08],[-81.17213,25.20126],[-81.33,25.64],[-81.71,25.87],[-82.24,26.73],[-82.70515,27.49504],[-82.85526,27.88624],[-82.65,28.55],[-82.93,29.1],[-83.70959,29.93656],[-84.1,30.09],[-85.10882,29.63615],[-85.28784,29.68612],[-85.7731,30.15261],[-86.4,30.4],[-87.53036,30.27433],[-88.41782,30.3849],[-89.18049,30.31598],[-89.59383,30.15999],[-89.41373,29.89419],[-89.43,29.48864],[-89.21767,29.29108],[-89.40823,29.15961],[-89.77928,29.30714],[-90.15463,29.11743],[-90.88022,29.14854],[-91.62678,29.677],[-92.49906,29.5523],[-93.22637,29.78375],[-93.84842,29.71363],[-94.69,29.48],[-95.60026,28.73863],[-96.59404,28.30748],[-97.14,27.83],[-97.37,27.38],[-97.38,26.69],[-97.33,26.21],[-97.14,25.87],[-97.53,25.84],[-98.24,26.06],[-99.02,26.37],[-99.3,26.84],[-99.52,27.54],[-100.11,28.11],[-100.45584,28.69612],[-100.9576,29.38071],[-101.6624,29.7793],[-102.48,29.76],[-103.11,28.97],[-103.94,29.27],[-104.45697,29.57196],[-104.70575,30.12173],[-105.03737,30.64402],[-105.63159,31.08383],[-106.1429,31.39995],[-106.50759,31.75452],[-108.24,31.75485],[-108.24194,31.34222],[-109.035,31.34194],[-111.02361,31.33472],[-113.30498,32.03914],[-114.815,32.52528],[-114.72139,32.72083],[-115.99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States\"}}]}","volume":"191","issue":"348","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":762251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Richard 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,{"id":70203329,"text":"ofr20191052 - 2019 - Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019","interactions":[],"lastModifiedDate":"2019-05-07T10:20:57","indexId":"ofr20191052","displayToPublicDate":"2019-05-03T13:57:08","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1052","displayTitle":"Preliminary Stage and Streamflow Data at Selected U.S. Geological Survey Streamgages in New England for the Floods of April 2019","title":"Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019","docAbstract":"<p>The combination of rainfall and snowmelt in northern New England and rainfall in southern New England resulted in minor to major flooding from April 15 to 24, 2019, according to stage and streamflow data collected at 63 selected U.S. Geological Survey (USGS) streamgages. A typical USGS streamgage measures and records stream stage and estimates streamflow based on a relation (rating curve) of discrete measurements of streamflow and the recorded stage. USGS hydrographers were deployed during and after these storms to measure the streamflow of the flooded rivers and confirm streamgage rating curves.</p><p>Preliminary Data Indicate... <br></p><ul><li>The National Weather Service flood stage was reached at 36 USGS streamgages selected for monitoring; the minor flood stage category was reached at 30 streamgages, moderate flood stage category at 5 streamgages, and major flood stage category at 1 streamgage.</li><li>Peak streamflows for the period of record occurred at three streamgages in Maine. Of these, the peak at the St. John River at Ninemile Bridge, Maine streamgage was the highest in its 67-year period of record.</li><li>A total of 30 streamgages—15 streamgages in Maine, 9 in Vermont, 4 in New Hampshire, and 1 each in Connecticut and Massachusetts—recorded peak streamflows within the top 10 for their period of record. Two of these streamgages, the Clyde River at Newport, Vermont and the Saco River at Cornish, Maine, have periods of record greater than 100 years.</li><li>In total, USGS hydrographers made more than 210 streamflow measurements during the April 15–24 floods in New England.<br></li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191052","usgsCitation":"Kiah, R.G, Smith, B.A. and Stasulis, N.W., 2019, Preliminary stage and streamflow data at selected U.S. Geological Survey streamgages in New England for the floods of April 2019: U.S. Geological Survey Open-File Report 2019–1051, 8 p., https://doi.org/10.3133/ofr20191052.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-107824","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":363510,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1052/coverthb.jpg"},{"id":363511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1052/ofr20191052.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1052"}],"country":"United States","state":"Maine, Vermont, New Hampshire, Massachusetts, Rhode Island, 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 \"}}]}","contact":"<p><a data-mce-href=\"mailto:dc_nweng@usgs.gov\" href=\"mailto:dc_nweng@usgs.gov\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://newengland.water.usgs.gov/\" href=\"https://newengland.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\">New England Water Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>331 Commerce Way, Suite 2<br>Pembroke, NH 03275<br></p>","tableOfContents":"<ul style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\" data-mce-style=\"color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\"><li>Preliminary Data Indicate</li><li>Study Area</li><li>Timeline for the Storms</li><li>U.S. Geological Survey Storm-Related Data</li><li>General Weather Conditions</li><li>Methods Used To Collect Streamflow Data</li><li>Floods of April 15–24, 2019</li><li>Summary</li><li><span style=\"font-size: 11pt; line-height: 16.8667px; font-family: Calibri, sans-serif;\" data-mce-style=\"font-size: 11pt; line-height: 16.8667px; font-family: Calibri, sans-serif;\">References Cited</span></li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-05-03","noUsgsAuthors":false,"publicationDate":"2019-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Brianna A. 0000-0003-4426-000X","orcid":"https://orcid.org/0000-0003-4426-000X","contributorId":215359,"corporation":false,"usgs":true,"family":"Smith","given":"Brianna","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stasulis, Nicholas W. 0000-0001-7645-4867 nstasuli@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-4867","contributorId":4520,"corporation":false,"usgs":true,"family":"Stasulis","given":"Nicholas","email":"nstasuli@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203879,"text":"70203879 - 2019 - Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions","interactions":[],"lastModifiedDate":"2019-06-18T14:14:41","indexId":"70203879","displayToPublicDate":"2019-05-02T14:14:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions","docAbstract":"Boreal forest regions are a focal point for investigations of coupled water and biogeochemical fluxes in response to wildfire disturbances, climate warming, and permafrost thaw. Soil hydraulic, physical, and thermal property measurements for mineral soils in permafrost regions are limited, despite substantial influences on cryohydrogeologic model results. This work expands mineral soil property quantification in cold regions through soil characterization from the discontinuous permafrost zone of interior Alaska, USA. Values extend beyond the range of prior measurement magnitudes in analogous regions, highlighting the importance of this dataset. Rocky and silty upland soil landscape classifications and wildfire disturbance provided guiding frameworks for the sampling and analysis for potential implications for the hydrologic response to thawing permafrost. Bulk density, soil organic matter, soil–particle size distributions (sand, silt, and gravel fractions), and soil hydraulic properties of van Genuchten parameters alpha and N had moderate evidence of differences between silty and rocky classifications. Burned and unburned sites had only moderate evidence of differences for silt fraction. Field-saturated hydraulic conductivity (Kfs) was more variable at burned sites compared to unburned sites, which corresponded to observations of greater rooting depths at burned sites and observations of root paths in soil cores for Kfs measurement. Soil thermal properties suggested that gravel content may reduce the accuracy of commonly used estimation methods for thermal conductivity . This work provides soil parameter constraints necessary for hypothesis testing and site-specific prediction with cryohydrogeologic models to examine controls on active layer and permafrost dynamics in upland boreal forests.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023673","usgsCitation":"Ebel, B., Koch, J.C., and Walvoord, M.A., 2019, Soil physical, hydraulic, and thermal properties in interior Alaska, USA: Implications for hydrologic response to thawing permafrost conditions: Water Resources Research, v. 55, p. 4427-4447, https://doi.org/10.1029/2018WR023673.","productDescription":"21 p.","startPage":"4427","endPage":"4447","ipdsId":"IP-101336","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":364791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Interior Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.5341796875,\n              64.1297836764257\n            ],\n            [\n              -144.580078125,\n              64.1297836764257\n            ],\n            [\n              -144.580078125,\n              69.41124235697256\n            ],\n            [\n              -152.5341796875,\n              69.41124235697256\n            ],\n            [\n              -152.5341796875,\n              64.1297836764257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":764576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764577,"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":764578,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203214,"text":"ofr20191047 - 2019 - Groundwater quality in the Sacramento Metropolitan shallow aquifer, California","interactions":[],"lastModifiedDate":"2019-05-07T08:45:05","indexId":"ofr20191047","displayToPublicDate":"2019-05-02T13:50:12","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1047","displayTitle":"Groundwater quality in the Sacramento Metropolitan Shallow Aquifer, California","title":"Groundwater quality in the Sacramento Metropolitan shallow aquifer, California","docAbstract":"<p>The Sacramento metropolitan (SacMetro) study unit covers approximately 3,250 square kilometers of the Central Valley along the eastern edge of the northern and southern ends of the San Joaquin and Sacramento Valleys, respectively. Groundwater withdrawals supply a significant portion of the water-resource needs of the region. In the southern portion of the study unit, groundwater accounts for nearly 90 percent of water demand in the area (South Area Water Council, 2011).</p><p>Groundwater sampled in the SacMetro study unit comes from alluvial aquifers primarily composed of sediments derived from the Sierra Nevada Mountains to the east. Recharge to the groundwater system is primarily from the streams draining the Sierra Nevada, and from precipitation and infiltration of applied irrigation water (California Department of Water Resources, 2003). The public-supply aquifer system assessments of this area in 2005 found elevated concentrations of inorganic constituents including arsenic, iron, and manganese as well as of solvents in some wells (Bennett and others, 2010; 2011).</p><p>This study was designed to provide a statistically representative assessment of the quality of groundwater resources used for domestic drinking water in the SacMetro study unit. A complete listing of what was measured, including the sampling results, are presented in Bennett and others, 2019. A total of 49 wells were sampled between July 2017 and November 2017 (Bennett and others, 2019). The wells in the study were 32–160 meters deep, and water levels were 1–62 meters below land surface.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191047","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L. V, 2019, Groundwater quality in the Sacramento Metropolitan shallow aquifer, California: U.S. Geological Survey Open-File Report 2019–1047, 4 p., https://doi.org/10.3133/ofr20191047.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-102366","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437473,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BPGEGH","text":"USGS data release","linkHelpText":"Groundwater-quality data in the Sacramento Metro shallow aquifer study unit, 2017: Results from the California GAMA Priority Basin Project"},{"id":363457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1047/coverthb.jpg"},{"id":363458,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1047/ofr20191047_.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 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href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-05-02","noUsgsAuthors":false,"publicationDate":"2019-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761699,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204450,"text":"70204450 - 2019 - Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring","interactions":[],"lastModifiedDate":"2019-07-25T13:10:27","indexId":"70204450","displayToPublicDate":"2019-05-01T13:09:11","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"Report 19-29","title":"Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring","docAbstract":"Numerous studies have established strong linkages between acid deposition, soil and surface-water acidification, and toxicity to aquatic biota. Little is known however, about the effects of acidification on fish assemblages in headwater streams because they are highly variable, and pre-acidification data are often lacking. The primary purpose of this study was to describe spatial and interannual (temporal) variability of fish assemblages in headwater streams affected by acidification so that future recovery targets and monitoring strategies can be established. Fish communities and water chemistry were sampled at 48 headwater streams in the Western Adirondack Mountains of New York during the summers of 2014 to 2016 to characterize the present-day condition of water quality and local fish assemblages. Additionally, data from six Adirondack streams that were sampled annually from 2014-16 were combined with data from seven streams in the Catskill Mountain region sampled annually for three or more years for an analysis of temporal variability. Inorganic monomeric aluminum concentrations (Ali, the toxic form of Al) were less than 1.0 µmol L-1, between 1 and 2 µmol L-1, and greater than 2 µmol L-1 in 79%, 13%, and 8% of the 48 Adirondack streams. Richness, abundance, and biomass of fish assemblages were negatively related to Ali concentrations. In streams with Ali concentrations less than 1.0 µmol L-1, species richness, density, and biomass averaged 2.0 species, 444.2 fish/0.1 ha, and 1924.4 g/0.1 ha, respectively, and the density and biomass of Brook Trout populations averaged 280.8 fish/0.1 ha and 1384.0 g/0.1 ha. These values may provide a reasonable approximation of fish community condition prior to anthropogenic acidification and can be used as targets for assessing future recovery of acidified streams. A power analysis that considered 21 fish metrics indicated a strong negative relationship between interannual metric variability and statistical power for detecting change over time. Large differences were identified in the sample size necessary to achieve adequate power (0.8) depending on the metric utilized. In general, greater statistical power was obtained from metrics based on entire fish communities and from metrics standardized by reach length or sampling effort. Given the variability observed in our dataset, most metrics could detect a change of 30% with moderate effort, suggesting this may be an appropriate goal for future monitoring. Together, knowledge of biological recovery targets and the statistical power obtained from various fish metrics can be used to develop the most effective strategies for monitoring and assessing biological recovery in New York streams.","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"NYSERDA","usgsCitation":"George, S.D., Baldigo, B.P., and Lawrence, G.B., 2019, Spatial and temporal variability of fish assemblages in acidified streams: Implications for long-term monitoring, 28 p.","productDescription":"28 p.","ipdsId":"IP-105913","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":365954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365908,"type":{"id":15,"text":"Index 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York\",\"nation\":\"USA  \"}}]}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766962,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203152,"text":"ofr20191044 - 2019 - Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle","interactions":[],"lastModifiedDate":"2019-05-02T07:37:17","indexId":"ofr20191044","displayToPublicDate":"2019-05-01T11:20:51","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1044","displayTitle":"Effectiveness of Fish Screens in Protecting Lamprey (<em>Entosphenus</em> and <em>Lampetra</em> spp.) Ammocoetes— Pilot Testing of Variable Screen Angle","title":"Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle","docAbstract":"<p class=\"p1\">Thousands of screened water diversions throughout the Columbia River Basin of the Pacific Northwest are sources of entrainment (unintended diversion into an unsafe passage route), injury, and mortality for a range of fish species and screening criteria have been developed to reduce and mitigate these effects. Large knowledge gaps exist concerning the potential effects of these screens on juvenile and larval lampreys <i>(</i><span class=\"s1\"><i>Entosphenus </i>and <i>Lampetra </i>spp.<i>) </i>that may </span>be particularly vulnerable to screening effects owing to their small size, unique morphology, and poor swimming performance. The few studies that have evaluated screen impacts for lampreys have compared common screen materials in a laboratory setting using a large, recirculating flume, and have reported that screen size and material influence the risk of entrainment. We compared entrainment rate, impingement rate and duration, injury rate, and delayed (24-hour) mortality of larval lamprey (ammocoetes) exposed to two screen angles. A 20-degree screen was tested because it is a common configuration, and a 12-degree screen was selected to represent a screen more parallel to flow than the 20-degree screen. We included juvenile rainbow trout (<i>Oncorhynchus mykiss</i>) in tests for both screen angles so that any screen interaction improvements observed for lamprey could be considered in light of their effect on salmonids (<span class=\"s1\"><i>Oncorhynchus </i>spp.<i>). </i></span>Study fish were released singly into the flume at two locations: near-screen (SCR) releases at about 30 centimeters upstream of the screen and mid-channel (MID) releases at about 1.4 meters upstream of the screen. We completed 120 screen trials with ammocoetes and 117 screen trials with juvenile tout during April–May 2018. Ammocoetes had short mean trial durations (less than 30 seconds) and were most frequently bypassed. Over one-half of the ammocoetes briefly (for less than 1 second) contacted the screen. Rates of screen contact were similar between the two screen angles, but higher for SCR releases (about 83–90 percent) than for MID releases (about 28–44 percent). Screen impingements were not common (8.3 percent of ammocoetes) and did not result in significant injury or delayed mortality. The final logistic regression model showed that screen angle and release location did not significantly affect whether ammocoetes were bypassed. The size of the lamprey, expressed as mass or length, was the only significant predictor of fate. We noted an estimated 4.7-percent increase in the odds of&nbsp;being bypassed for every 1-milligram increase in ammocoete mass and a 49-percent increase in the odds of being bypassed for every 1-millimeter increase in length. Trout did not experience negative effects with the 12-degree screen; they had short mean trial durations (less than 40 seconds) and limited contact with the screens (11.1 percent of trout), were most commonly bypassed, and none were entrained. Screen angle and release location were not significant drivers of fate for trout. The 12-degree and 20-degree screens performed comparably for both lamprey and trout and effectively bypassed these fishes. Some metrics showed advantages for the 12-degree screen, suggesting that screens installed more parallel to flow might warrant further testing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191044","collaboration":"Prepared in cooperation with the Washington Department of Fish and Wildlife, McNary Fisheries Compensation Committee, and Yakama Nation Fisheries","usgsCitation":"Liedtke, T.L., Didricksen, D.J., Weiland, L.K., Rogala, J.A., and Lampman, R., 2019, Effectiveness of fish screens in protecting lamprey (Entosphenus and Lampetra spp.) ammocoetes—Pilot testing of variable screen angle: U.S. Geological Survey Open-File Report 2019-1044, 21 p., https://doi.org/10.3133/ofr20191044.","productDescription":"iv, 21 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-105978","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":363436,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1044/coverthb2.jpg"},{"id":363437,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1044/ofr20191044.pdf","text":"Report","size":"882 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1044"}],"country":"United States","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.57324218750001,\n              41.96765920367816\n            ],\n            [\n              -112.763671875,\n              41.96765920367816\n            ],\n            [\n              -112.763671875,\n              50.90303283111257\n            ],\n            [\n              -127.57324218750001,\n              50.90303283111257\n            ],\n            [\n              -127.57324218750001,\n              41.96765920367816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-05-01","noUsgsAuthors":false,"publicationDate":"2019-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Didricksen, Daniel J.","contributorId":215007,"corporation":false,"usgs":false,"family":"Didricksen","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":761410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":761411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ragala, Joshua A.","contributorId":215009,"corporation":false,"usgs":false,"family":"Ragala","given":"Joshua","email":"","middleInitial":"A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":761412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":761413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204643,"text":"70204643 - 2019 - Movements of immature bald eagles: Implications for bird aircraft strike hazard","interactions":[],"lastModifiedDate":"2019-08-09T10:25:38","indexId":"70204643","displayToPublicDate":"2019-05-01T08:21:25","publicationYear":"2019","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":"Movements of immature bald eagles: Implications for bird aircraft strike hazard","docAbstract":"Bald eagle (Haliaeetus leucocephalus) aircraft strikes have increased dramatically over the last 20 years as their populations have recovered to near historic sizes. Their attraction to airfields and their large body size makes them a danger to aircraft and therefore important to airfield wildlife managers. However, their management is complicated by their special protected status and the iconic place they hold in the eyes of the public. To help airfield wildlife managers plan monitoring efforts and make informed management decisions, we studied the movements of 32 bald eagles telemetered as nestlings in the Chesapeake Bay of Virginia, USA. Managers often need to know when fledged eagles are most likely to move enough to encounter airfields near nests.  As fledglings aged they moved progressively farther from the nest and spent more time away from the nest. Twenty-eight days after fledging, eagles spent most of the day (81±10%, 95% confidence interval) near the nest (<500 m) and only 7±7% of the daytime away from the nest (>1 km). By day 53 fledglings ventured beyond 2.5 km from the nest and spent 30 ± 15% the day >1 km away from their nest. However, distances moved were influenced by proximity of the nest to water, the quality and salinity of that water, and human population density. Eagles left their natal areas and generally migrated out of the Chesapeake Bay 60.5 ± 7.7 days (4 August) after fledging and returned to the Chesapeake Bay approximately 225 days later (March-April). Eighty-four percent (27 of 32) of the eagles that we tracked encountered 164 airfields across the east coast with 91% of those airfields located within 10 km of the Chesapeake Bay. Encounters with airfields outside the Chesapeake Bay occurred mainly during the first 1.5 years of life, peaking in late fall and early spring. Eagles were recorded on Chesapeake Bay airfields during each year, but encounters peaked in April of the first year of the bird’s life. This month coincides with the height of reported strikes of eagles by aircraft in the region. Our results suggest that eagles fledging from the Chesapeake Bay are not only an issue for airports near the Chesapeake Bay, but for airports across the east coast. Given the continued growth of the population, this issue is likely to continue and grow in significance.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21647","usgsCitation":"Miller, T.A., Cooper, J.L., Duerr, A.E., Braham, M.A., Anderson, J.T., and Katzner, T., 2019, Movements of immature bald eagles: Implications for bird aircraft strike hazard: Journal of Wildlife Management, v. 83, no. 4, p. 879-892, https://doi.org/10.1002/jwmg.21647.","productDescription":"14 p.","startPage":"879","endPage":"892","ipdsId":"IP-104569","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.40966796875,\n              36.54494944148322\n            ],\n            [\n              -75.34423828125,\n              36.54494944148322\n            ],\n            [\n              -75.34423828125,\n              38.89103282648846\n            ],\n            [\n              -77.40966796875,\n              38.89103282648846\n            ],\n            [\n              -77.40966796875,\n              36.54494944148322\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Tricia A.","contributorId":190591,"corporation":false,"usgs":false,"family":"Miller","given":"Tricia","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Jeff L","contributorId":217949,"corporation":false,"usgs":false,"family":"Cooper","given":"Jeff","email":"","middleInitial":"L","affiliations":[{"id":35592,"text":"Virginia Department of Game and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":767890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":767892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":767893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203225,"text":"70203225 - 2019 - Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","interactions":[],"lastModifiedDate":"2019-05-01T07:51:43","indexId":"70203225","displayToPublicDate":"2019-05-01T07:50:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">To better understand the effects of climate change on streamflow, the hydrologic response to both temperature and precipitation needs to be examined at the mesoscale. New York State provides a hydrologically diverse mesoscale region, where sub-regional clusters of watersheds may respond differently to changes in temperature and in seasonal precipitation rates. Connections between streamflow and climate were examined for 97 gaging stations across the state and surrounding areas, for a historical period of 56 years of daily average streamflow. Gages were grouped into clusters if their mean annual discharge rates were strongly correlated to one another. Within each cluster, sharp temporal changes in discharge, or change points, were identified. These change points clustered both spatially and by flow regime, with low, medium, and high flows increasing around 1970 for much of the state consistent with other studies in the region. A step increase in Catskill low flows in 2003 coincides with increases in summer precipitation, and is consistent with a positive correlation between summer precipitation and annual low flows. Our results support previous studies that have shown that streamflow at this mesoscale is strongly tied to precipitation, and the strength of that connection is modulated by land cover, geographic position, and seasonal moisture conditions. Across the state, the winter-spring center of volume date has moved earlier along with increasing January streamflow rates, the result of warmer winter temperatures and an increased proportion of precipitation as rain. The transition to a post-1970s pluvial period also coincided with more frequent peak over threshold flows statewide, and this wetter period has continued to the present day.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.04.060","usgsCitation":"Glas, R., Burns, D., and Lautz, L.K., 2019, Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016: Journal of Hydrology, v. 574, p. 308-323, https://doi.org/10.1016/j.jhydrol.2019.04.060.","productDescription":"16 p.","startPage":"308","endPage":"323","ipdsId":"IP-100780","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1636018","text":"Publisher Index 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,{"id":70203231,"text":"70203231 - 2019 - Temporal variability in stream fish assemblage metrics and implications for long-term monitoring","interactions":[],"lastModifiedDate":"2019-05-01T07:41:56","indexId":"70203231","displayToPublicDate":"2019-05-01T07:40:25","publicationYear":"2019","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":"Temporal variability in stream fish assemblage metrics and implications for long-term monitoring","docAbstract":"<p><span>High natural variability in the condition of fish communities in headwater streams complicates detection of long-term responses to changes in water quality. As a result, little is known about the impacts and recovery of fishes from acid deposition in streams of New York. Twenty-one fish metrics from annual electrofishing surveys at 13 streams sites in the Catskill and Adirondack mountains were assessed to quantify temporal variability and identify effective monitoring strategies for detecting change in headwater stream fish assemblages. Metrics included the density and biomass of Brook Trout populations and entire fish communities using length-, area-, and effort-based standardization techniques. Linear mixed models were used to estimate changes in coefficients of variation (CV) for different classes of metrics and standardization techniques, and a simulation-based power analysis was conducted to assess differences in statistical power for each metric with various sampling designs. Metric CV varied significantly as a result of standardization technique and whether metrics were calculated for the entire community or Brook Trout only. The sampling effort necessary to detect a 30% change with power of 0.80 was strongly correlated with CV (R</span><sup>2</sup><span> = 0.77). The number of sampling events at the 13 sites needed to detect this change ranged from 1 to &gt;60, suggesting metric selection can strongly affect statistical power and the resources necessary to detect change. Thus, metric selection is a complex decision that must consider study objectives and biological relevance, in addition to natural variability and statistical power. However, adequate statistical power was achieved at relatively small sample sizes using certain metrics, indicating that fish communities in headwater streams can be a valuable component of long-term assessments of acidification impacts and recovery.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.01.055","usgsCitation":"George, S.D., Baldigo, B.P., and Stich, D.S., 2019, Temporal variability in stream fish assemblage metrics and implications for long-term monitoring: Ecological Indicators, v. 101, p. 661-669, https://doi.org/10.1016/j.ecolind.2019.01.055.","productDescription":"9 p.","startPage":"661","endPage":"669","ipdsId":"IP-097687","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2019.01.055","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":761804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":761805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204987,"text":"70204987 - 2019 - Shrub persistence and increased grass mortality in response to drought in dryland systems","interactions":[],"lastModifiedDate":"2021-04-02T15:01:44.360082","indexId":"70204987","displayToPublicDate":"2019-04-30T15:37:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Shrub persistence and increased grass mortality in response to drought in dryland systems","docAbstract":"<p><span>Droughts in the southwest United States have led to major forest and grassland die‐off events in recent decades, suggesting plant community and ecosystem shifts are imminent as native perennial grass populations are replaced by shrub‐ and invasive plant‐dominated systems. These patterns are similar to those observed in arid and semiarid systems around the globe, but our ability to predict which species will experience increased drought‐induced mortality in response to climate change remains limited. We investigated meteorological drought‐induced mortality of nine dominant plant species in the Colorado Plateau Desert by experimentally imposing a year‐round 35% precipitation reduction for eight continuous years. We distributed experimental plots across numerous plant, soil, and parent material types, resulting in 40 distinct sites across a 4,500&nbsp;km</span><sup>2</sup><span>&nbsp;region of the Colorado Plateau Desert. For all 8 years, we tracked c. 400 individual plants and evaluated mortality responses to treatments within and across species, and through time. We also examined the influence of abiotic and biotic site factors in driving mortality responses. Overall, high mortality trends were driven by dominant grass species, including&nbsp;</span><i>Achnatherum hymenoides</i><span>,&nbsp;</span><i>Pleuraphis jamesii</i><span>, and&nbsp;</span><i>Sporobolus cryptandrus</i><span>. Responses varied widely from year to year and dominant shrub species were generally resistant to meteorological drought, likely due to their ability to access deeper soil water. Importantly, mortality increased in the presence of invasive species regardless of treatment, and native plant die‐off occurred even under ambient conditions, suggesting that recent climate changes are already negatively impacting dominant species in these systems. Results from this long‐term drought experiment suggest major shifts in community composition and, as a result, ecosystem function. Patterns also show that, across multiple soil and plant community types, native perennial grass species may be replaced by shrubs and invasive annuals in the Colorado Plateau Desert.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14667","usgsCitation":"Winkler, D.E., Belnap, J., Hoover, D.L., Reed, S.C., and Duniway, M.C., 2019, Shrub persistence and increased grass mortality in response to drought in dryland systems: Global Change Biology, v. 25, no. 9, p. 3121-3135, https://doi.org/10.1111/gcb.14667.","productDescription":"15 p.","startPage":"3121","endPage":"3135","ipdsId":"IP-103076","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437477,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90C8ORJ","text":"USGS data release","linkHelpText":"Long-term precipitation reduction experiment in the Colorado Plateau - Survival and mortality data from 2010 to 2018"},{"id":366982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","city":"Moab","otherGeospatial":"Colorado Plateau Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.84130859375,\n              38.28131307922966\n            ],\n            [\n              -109.19860839843749,\n              38.28131307922966\n            ],\n            [\n              -109.19860839843749,\n              39.21523130910491\n            ],\n            [\n              -109.84130859375,\n              39.21523130910491\n            ],\n            [\n              -109.84130859375,\n              38.28131307922966\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, David L. dlhoover@usgs.gov","contributorId":5843,"corporation":false,"usgs":true,"family":"Hoover","given":"David","email":"dlhoover@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":769452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":769454,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204573,"text":"70204573 - 2019 - Spatiotemporal distribution of waterfowl disease outbreaks in Kansas","interactions":[],"lastModifiedDate":"2019-11-01T06:26:20","indexId":"70204573","displayToPublicDate":"2019-04-30T15:36:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal distribution of waterfowl disease outbreaks in Kansas","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"Haukos, D.A., 2019, Spatiotemporal distribution of waterfowl disease outbreaks in Kansas: Prairie Naturalist, v. 50, p. 4-14.","productDescription":"11 p.","startPage":"4","endPage":"14","ipdsId":"IP-085816","costCenters":[{"id":200,"text":"Coop Res Unit 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,{"id":70203992,"text":"70203992 - 2019 - Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions","interactions":[],"lastModifiedDate":"2019-06-26T13:18:43","indexId":"70203992","displayToPublicDate":"2019-04-30T13:13:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions","docAbstract":"<p><span>The sustainability of ground-source geothermal systems can be severely impacted by microbially mediated clogging processes. Biofouling of water wells by hydrous ferric oxide is a widespread problem. Although the mechanisms and critical environmental factors associated with clogging development are widely recognized, effects of mixing processes within the wells and time scales for clogging processes are not well characterized. Here we report insights from a joint hydrological, geochemical, and metagenomics characterization of a geothermal doublet in which hydrous ferric oxide and hydrous manganese oxide deposits had formed as a consequence of mixing shallow groundwater containing dissolved oxygen and nitrate with deeper, anoxic groundwater containing dissolved iron (Fe</span><sup>II</sup><span>) and manganese (Mn</span><sup>II</sup><span>). Metagenomics identify distinct bacteria consortia in the pumping well oxic and anoxic zones, including autotrophic iron-oxidizing bacteria. Batch mixing experiments and geochemical kinetics modeling of the associated reactions indicate that Fe</span><sup>II</sup><span>&nbsp;and Mn</span><sup>II</sup><span>&nbsp;oxidation are slow compared to the residence time of water in the pumping well; however, adsorption of Fe</span><sup>II</sup><span>&nbsp;and Mn</span><sup>II</sup><span>&nbsp;by accumulated hydrous ferric oxide and hydrous manganese oxide in the well bore and pump riser provides “infinite” time for surface-catalyzed oxidation and a convenient source of energy for iron-oxidizing bacteria, which colonize the surfaces and also catalyze oxidation. Thus, rapid clogging is caused by mixing-induced redox reactions and is exacerbated by microbial activity on accumulated hydrous oxide surfaces.</span></p>","language":"English","publisher":"American Chemical Society Publications","doi":"10.1021/acs.est.9b00453","usgsCitation":"Burte, L., Cravotta, C.A., Bethencourt, L., Farasin, J., Pedrot, M., Dufresne, A., Gerard, M., Baranger, C., Le Borgne, T., and Aquilina, L., 2019, Kinetic study on clogging of a geothermal pumping well triggered by mixing-induced biogeochemical reactions: Environmental Science & Technology, v. 53, no. 10, p. 5848-5857, https://doi.org/10.1021/acs.est.9b00453.","productDescription":"10 p.","startPage":"5848","endPage":"5857","ipdsId":"IP-104719","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":467656,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-02123861","text":"External Repository"},{"id":365077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","city":"Orleans","volume":"53","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Burte, Luc","contributorId":216592,"corporation":false,"usgs":false,"family":"Burte","given":"Luc","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":216591,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III","email":"","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bethencourt, Lorine","contributorId":216593,"corporation":false,"usgs":false,"family":"Bethencourt","given":"Lorine","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farasin, Julien","contributorId":216594,"corporation":false,"usgs":false,"family":"Farasin","given":"Julien","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedrot, Mathieu","contributorId":216595,"corporation":false,"usgs":false,"family":"Pedrot","given":"Mathieu","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dufresne, Alexis","contributorId":216596,"corporation":false,"usgs":false,"family":"Dufresne","given":"Alexis","email":"","affiliations":[{"id":39482,"text":"Ecobio-UMR 6553, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerard, Marie-Francoise","contributorId":216597,"corporation":false,"usgs":false,"family":"Gerard","given":"Marie-Francoise","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baranger, Catherine","contributorId":216598,"corporation":false,"usgs":false,"family":"Baranger","given":"Catherine","email":"","affiliations":[{"id":39483,"text":"Antea Group, ZAC du Moulin 803 boulevard Duhamel du Monceau, Olivet, France","active":true,"usgs":false}],"preferred":false,"id":765131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le Borgne, Tanguy","contributorId":216599,"corporation":false,"usgs":false,"family":"Le Borgne","given":"Tanguy","email":"","affiliations":[{"id":39481,"text":"OSUR-UMR6118 Géosciences Rennes, Université de Rennes 1 and Centre National de la Recherche Scientifique, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":765132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aquilina, Luc 0000-0001-9875-6436","orcid":"https://orcid.org/0000-0001-9875-6436","contributorId":215171,"corporation":false,"usgs":false,"family":"Aquilina","given":"Luc","email":"","affiliations":[{"id":39190,"text":"Université de Rennes","active":true,"usgs":false}],"preferred":false,"id":765133,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203183,"text":"sim3433 - 2019 - Estimated 2016 groundwater level and drawdown from predevelopment to 2016 in the Santa Fe Group Aquifer System in the Albuquerque Area, Central New Mexico","interactions":[],"lastModifiedDate":"2019-05-01T08:05:16","indexId":"sim3433","displayToPublicDate":"2019-04-30T11:45:37","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3433","displayTitle":"Estimated 2016 Groundwater Level and Drawdown from Predevelopment to 2016 in the Santa Fe Group Aquifer System in the Albuquerque Area, Central New Mexico","title":"Estimated 2016 groundwater level and drawdown from predevelopment to 2016 in the Santa Fe Group Aquifer System in the Albuquerque Area, Central New Mexico","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority (ABCWUA), has developed a series of maps and associated reports to document changes in the groundwater level in the production zone of the Santa Fe Group aquifer system in the Albuquerque, New Mexico, area. The current map and associated report document the construction of contours representing the groundwater-level surface of winter (November to March) conditions for water year 2016 and estimated net groundwater-level declines (called drawdown) since widespread groundwater pumping began in the early 1960s (called predevelopment conditions).</p><p>Prior to 2008, groundwater withdrawal from the Santa Fe Group aquifer system was the principal water supply for the study area. The large quantity of withdrawal relative to recharge resulted in drawdown throughout the Albuquerque area. In response, the ABCWUA implemented a strategy for sustainable development of its water resources, including the diversion of surface water as part of the San Juan-Chama Drinking Water Project in 2008. The 2016 groundwater-level contours indicate that the general direction of groundwater flow is towards clusters of production wells in the eastern and northwestern parts of the study area. Drawdown from predevelopment to 2016 is greatest along the eastern margin of the study area and in the northwestern part of the study area, likely correlated with groundwater withdrawals and potentially compounded by proximity to faults. Comparing drawdown in water year 2016 to that of water years 2002, 2008, and 2012 shows a reduction in drawdown (groundwater-level rebound) in the study area since 2008, which corresponds with the timing of reductions in groundwater withdrawals as a result of the ABCWUA’s San Juan-Chama Drinking Water Project. Time-series analysis of groundwater-level measurements in piezometers within the study area also indicates the recent groundwater-level rebound since 2008.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3433","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Galanter, A.E., Curry, L.T.S., 2019, Estimated 2016 groundwater level and drawdown from predevelopment to 2016 in the Santa Fe Group aquifer system in the Albuquerque area, central New Mexico: U.S. Geological Survey Scientific Investigations Map 3433, 1 sheet, 13-p. pamphlet, https://doi.org/10.3133/sim3433.\n","productDescription":"Pamphlet: v, 13 p.; 1 Sheet: 18 by 24 inches; Data release","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-106258","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":363344,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3433/sim3433.pdf","text":"Figure 1","size":"1.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3433"},{"id":363342,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3433/coverthb.jpg"},{"id":363343,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3433/sim3433_pamphlet.pdf","text":"Pamphlet","size":"1.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3433 Pamphlet"},{"id":363345,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TWBYYQ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Select well locations, construction data, and groundwater-level measurements used to estimate 2016 groundwater-level contours in the Santa Fe Group aquifer system in the Albuquerque area, central New Mexico"}],"country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"Santa Fe Group Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107,\n              34.9\n            ],\n            [\n              -106.33,\n              34.9\n            ],\n            [\n              -106.33,\n              35.25\n            ],\n            [\n              -107,\n              35.25\n            ],\n            [\n              -107,\n              34.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith NE, Suite B <br>Albuquerque NM 87113<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Key Terms</li><li>Abstract</li><li>Introduction</li><li>Methods for Map Construction and Time-Series Analysis</li><li>Estimated 2016 Groundwater Level and Drawdown in the Santa Fe Group Aquifer System</li><li>Summary</li><li>References Cited</li></ul><p><br></p>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-04-30","noUsgsAuthors":false,"publicationDate":"2019-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":205393,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curry, Lucas T.S.","contributorId":214996,"corporation":false,"usgs":false,"family":"Curry","given":"Lucas T.S.","affiliations":[{"id":39152,"text":"TetraTech","active":true,"usgs":false}],"preferred":false,"id":761535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215770,"text":"70215770 - 2019 - Cryptic introduction of water chestnut (Trapa) in the northeastern United States","interactions":[],"lastModifiedDate":"2020-10-30T13:10:20.788885","indexId":"70215770","displayToPublicDate":"2019-04-30T08:04:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic introduction of water chestnut (Trapa) in the northeastern United States","docAbstract":"<p><i>Trapa natans</i><span>, characterized by four-horned fruits, has been recognized as an introduced species in the northeastern United States since the 1920′s. However, in 2014 a two-horned morphotype of&nbsp;</span><i>Trapa</i><span>&nbsp;was discovered in the Potomac River in Virginia. As such, we hypothesize the two-horned variety represents a cryptic introduction of a&nbsp;</span><i>Trapa</i><span>&nbsp;taxon distinct from the four-horned&nbsp;</span><i>T. natans</i><span>&nbsp;previously identified in North America. We tested this hypothesis by genotyping 129 amplified fragment length polymorphism loci for 304&nbsp;</span><i>Trapa</i><span>&nbsp;individuals collected from across the Northeast US and several populations from Asia and Africa. The two-horned and four-horned morphotypes in the northeastern US were found to be genetically and morphologically distinct. The two-horned&nbsp;</span><i>Trapa</i><span>&nbsp;taxon was most genetically and morphologically similar to samples from Taiwan identified as&nbsp;</span><i>T. bispinosa</i><span>&nbsp;Roxb. var&nbsp;</span><i>iinumai</i><span>&nbsp;Nakano. The four-horned&nbsp;</span><i>Trapa</i><span>&nbsp;taxon previously identified as&nbsp;</span><i>T. natans</i><span>&nbsp;was most genetically and morphologically similar to&nbsp;</span><i>T. natans</i><span>&nbsp;collected from Japan, but were genetically distinct. Therefore, it is likely that the US four-horned&nbsp;</span><i>Trapa</i><span>&nbsp;was introduced from somewhere outside of Japan, an unsampled area in Japan, or have genetically diverged since introduction. Distinguishing these two US&nbsp;</span><i>Trapa</i><span>&nbsp;taxa will be important for documenting spread and identifying new populations, and for further study on the timing and efficacy of physical, chemical, and biological control options. Our study also highlights the need for a comprehensive geographic survey of&nbsp;</span><i>Trapa</i><span>&nbsp;morphology and genetics to clarify the taxonomy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2019.02.006","usgsCitation":"Chorak, G., Dodd, L., Rybicki, N.B., Ingram, K., Buyukyoruk, M., Kadono, Y., Chen, Y.Y., and Thum, R., 2019, Cryptic introduction of water chestnut (Trapa) in the northeastern United States: Aquatic Botany, v. 155, p. 32-37, https://doi.org/10.1016/j.aquabot.2019.02.006.","productDescription":"6 p.","startPage":"32","endPage":"37","ipdsId":"IP-101162","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":379960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chorak, Greg","contributorId":244129,"corporation":false,"usgs":false,"family":"Chorak","given":"Greg","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":803367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dodd, Lynde","contributorId":244130,"corporation":false,"usgs":false,"family":"Dodd","given":"Lynde","affiliations":[{"id":48850,"text":"USACE | ERDC | EL |Aquatic Ecology and Invasive Species Branch Lewisville Aquatic 9 Ecosystem Research Facility","active":true,"usgs":false}],"preferred":false,"id":803368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":803369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingram, Kadiera","contributorId":244131,"corporation":false,"usgs":false,"family":"Ingram","given":"Kadiera","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":803370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buyukyoruk, Murat","contributorId":244132,"corporation":false,"usgs":false,"family":"Buyukyoruk","given":"Murat","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":803371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kadono, Yasuro","contributorId":204998,"corporation":false,"usgs":false,"family":"Kadono","given":"Yasuro","email":"","affiliations":[{"id":37018,"text":"University of Kobe, Japan","active":true,"usgs":false}],"preferred":false,"id":803372,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Yuan Yuan","contributorId":244133,"corporation":false,"usgs":false,"family":"Chen","given":"Yuan","email":"","middleInitial":"Yuan","affiliations":[{"id":48851,"text":"Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China","active":true,"usgs":false}],"preferred":false,"id":803373,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thum, Ryan","contributorId":150630,"corporation":false,"usgs":false,"family":"Thum","given":"Ryan","email":"","affiliations":[{"id":18056,"text":"3. Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":803374,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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