{"pageNumber":"118","pageRowStart":"2925","pageSize":"25","recordCount":165309,"records":[{"id":70261913,"text":"70261913 - 2024 - Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States)","interactions":[],"lastModifiedDate":"2026-02-10T17:49:18.930628","indexId":"70261913","displayToPublicDate":"2024-11-17T08:50:13","publicationYear":"2024","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}},"title":"Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States)","docAbstract":"<p><span>Lake Mattamuskeet, the largest lake in North Carolina, USA, has undergone decades-long eutrophication causing reduced water quality and promoting cyanobacterial blooms that may produce toxins. It is therefore necessary to evaluate the cyanobacterial diversity of the lake and their toxigenic potential. We present draft genomes of&nbsp;</span><i>Microcystis</i><span>,&nbsp;</span><i>Pelatocladus</i><span>,&nbsp;</span><i>Raphidiopsis</i><span>, and&nbsp;</span><i>Umezakia</i><span>&nbsp;strains isolated from Lake Mattamuskeet. The whole-genome shotgun projects for&nbsp;</span><i>Umezakia ovalisporum</i><span>&nbsp;BLCC-F208,&nbsp;</span><i>Microcystis</i><span>&nbsp;sp. BLCC-F209,&nbsp;</span><i>Microcystis</i><span>&nbsp;sp. BLCC-F210,&nbsp;</span><i>Pelatocladus</i><span>&nbsp;sp. BLCC-F211,&nbsp;</span><i>U. ovalisporum</i><span>&nbsp;BLCC-F215, and&nbsp;</span><i>Raphidiopsis</i><span>&nbsp;BLCC-F218 have been deposited in GenBank under accession numbers JBHFLK000000000, JBHFLL000000000, CP169647, JBHFLM000000000, JBHFLN000000000, and JBHFLO000000000, respectively. Based on the genomic analysis, several biosynthetic gene clusters (BCGs) with varying degrees of similarity to known toxic and bioactive compound gene clusters were identified across the different cyanobacterial strains.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jpy.13523","usgsCitation":"Moretto, J., Berthold, D., Lefler, F., Mazzei, V., Loftin, K.A., and Laughinghouse, D., 2024, Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States): Journal of Phycology, v. 60, no. 6, p. 1349-1355, https://doi.org/10.1111/jpy.13523.","productDescription":"7 p.","startPage":"1349","endPage":"1355","ipdsId":"IP-170755","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":498256,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jpy.13523","text":"Publisher Index Page"},{"id":465629,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Hyde County","otherGeospatial":"Albemarle-Pamlico Peninsula, Lake Mattamuskeet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.35112692142471,\n              35.56784290852124\n            ],\n            [\n              -76.35112692142471,\n              35.437352291803705\n            ],\n            [\n              -76.03141728533264,\n              35.437352291803705\n            ],\n            [\n              -76.03141728533264,\n              35.56784290852124\n            ],\n            [\n              -76.35112692142471,\n              35.56784290852124\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      },\n      \"id\": 0\n    }\n  ]\n}","volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Moretto, Jéssica A.","contributorId":347704,"corporation":false,"usgs":false,"family":"Moretto","given":"Jéssica A.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berthold, David E.","contributorId":347705,"corporation":false,"usgs":false,"family":"Berthold","given":"David E.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefler, Forrest W.","contributorId":347706,"corporation":false,"usgs":false,"family":"Lefler","given":"Forrest W.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laughinghouse, Dail H. IV","contributorId":347707,"corporation":false,"usgs":false,"family":"Laughinghouse","given":"Dail H.","suffix":"IV","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70260975,"text":"70260975 - 2024 - Layered intrusions in the Precambrian: Observations and perspectives","interactions":[],"lastModifiedDate":"2025-02-07T16:06:06.999202","indexId":"70260975","displayToPublicDate":"2024-11-16T11:21:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Layered intrusions in the Precambrian: Observations and perspectives","docAbstract":"<p>Layered intrusions are plutonic bodies of cumulates that form by the crystallization of mantle-derived melts. These intrusions are characterized by igneous layering distinguishable by shifts in mineralogy, texture, or composition. Layered intrusions have been fundamental to our understanding of igneous petrology; however, it is their status as important repositories of critical metals – such as platinum-group elements, chromium, and vanadium – that has predominantly driven associated research in recent decades. Many layered intrusions were emplaced during the Precambrian, predominantly at the margins of ancient cratons during intervals of supercontinent accretion and destruction. It appears that large, layered intrusions require rigid crust to ensure their preservation, and their geometry and layering is primarily controlled by the nature of melt emplacement.</p><p>Layered intrusions are best investigated by integrating observations from various length-scales. At the macroscale, intrusion geometries can be discerned, and their presence understood in the context of the regional geology. At the mesoscale, the layering of an intrusion may be characterized, intrusion-host rock contact relationships studied, and the nature of stratiform mineral occurrences described. At the microscale, the mineralogy and texture of cumulate rocks and any mineralization are elucidated, particularly when novel microtextural and mineral chemical datasets are integrated. For example, here we demonstrate how mesoscale observations and microscale datasets can be combined to understand the petrogenesis of the perplexing <i>snowball oiks</i> outcrop located in the Upper Banded Series of the Stillwater Complex. Our data suggest that the orthopyroxene oikocrysts did not form in their present location, but rather formed in a dynamic magma chamber where crystals were transported either by convective currents or within crystal-rich slurries.</p><p>Critical metals may be transported to the level of a nascent intrusion as dissolved components in the melt. Alternatively, ore minerals are entrained from elsewhere in a plumbing system, potentially facilitated by volatile-rich phases. There are many ore-forming processes propounded by researchers to occur at the level of emplacement; however, each must address the arrival of the ore mineral, its concentration of metals, and its accumulation into orebodies. In this contribution, several of these processes are described as well as our perspectives on the future of layered intrusion research.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2024.107615","usgsCitation":"Smith, W.D., Jenkins, M., Augustin, C.T., Virtanen, V.J., Vukmanovic, Z., and O’Driscoll, B., 2024, Layered intrusions in the Precambrian: Observations and perspectives: Precambrian Research, v. 415, 107615, 31 p., https://doi.org/10.1016/j.precamres.2024.107615.","productDescription":"107615, 31 p.","ipdsId":"IP-169762","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":466760,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2024.107615","text":"Publisher Index Page"},{"id":464288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"415","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, William D.","contributorId":335361,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":918775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustin, Claudia T.","contributorId":346348,"corporation":false,"usgs":false,"family":"Augustin","given":"Claudia","email":"","middleInitial":"T.","affiliations":[{"id":82834,"text":"Mineral Deposits Group, Department of Earth Sciences, Carleton University","active":true,"usgs":false}],"preferred":false,"id":918777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Virtanen, Ville J.","contributorId":346349,"corporation":false,"usgs":false,"family":"Virtanen","given":"Ville","email":"","middleInitial":"J.","affiliations":[{"id":82835,"text":"Institut des Sciences de la Terre d’Orléans; Department of Geosciences and Geography, University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":918778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vukmanovic, Zoja","contributorId":346350,"corporation":false,"usgs":false,"family":"Vukmanovic","given":"Zoja","email":"","affiliations":[{"id":82836,"text":"School of Environmental Sciences, University of East Anglia","active":true,"usgs":false}],"preferred":false,"id":918779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Driscoll, Brian","contributorId":346351,"corporation":false,"usgs":false,"family":"O’Driscoll","given":"Brian","email":"","affiliations":[{"id":35511,"text":"Department of Earth and Environmental Sciences, University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":918780,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261717,"text":"70261717 - 2024 - Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation","interactions":[],"lastModifiedDate":"2024-12-19T15:38:35.633185","indexId":"70261717","displayToPublicDate":"2024-11-16T09:35:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation","docAbstract":"<p><span>Karst subterranean estuaries within globally ubiquitous carbonate aquifers are coastal groundwater ecosystems that provide an essential water resource for human populations. To understand the drivers of salinization within a coastal aquifer in the Yucatan Peninsula (Mexico), we employed hydroacoustics in flooded caves to observe how oceanic and atmospheric events facilitate mixing between the meteoric lens (fresh-brackish groundwater) and the saline groundwater on tidal and episodic timescales. Precipitation during Tropical Storm Carlotta increased the flow and salinity of the meteoric lens without evidence for vertical mixing across the halocline. We postulate that vertical migration of haloclines in the conduit relative to those within the rock matrix during precipitation creates lateral density gradients that drive mixing, and ultimately creates a brackish layer within the meteoric lens. These results provide a mechanistic explanation for vertical and lateral exchange in a coastal carbonate aquifer, which has implications for groundwater response to future climatic change.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109993","usgsCitation":"Ganju, N., Pohlman, J., Suttles, S.E., and Brankovits, D., 2024, Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation: Geophysical Research Letters, v. 51, no. 22, e2024GL109993, 10 p., https://doi.org/10.1029/2024GL109993.","productDescription":"e2024GL109993, 10 p.","ipdsId":"IP-164811","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109993","text":"Publisher Index Page"},{"id":465334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Ox Bel Ha cave system, Yucatan peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.30558586746815,\n              20.291951181554595\n            ],\n            [\n              -88.15009160916765,\n              20.291951181554595\n            ],\n            [\n              -88.15009160916765,\n              19.703686313193117\n            ],\n            [\n              -87.30558586746815,\n              19.703686313193117\n            ],\n            [\n              -87.30558586746815,\n              20.291951181554595\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":921578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suttles, Steven E. 0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":192272,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brankovits, David","contributorId":296665,"corporation":false,"usgs":false,"family":"Brankovits","given":"David","affiliations":[{"id":64117,"text":"Molecular Ecology Group, Water Research Institute, National Research Council of Italy (IRSA CNR), Pallanza","active":true,"usgs":false}],"preferred":false,"id":921580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261271,"text":"70261271 - 2024 - Awakening of Maunaloa linked to melt shared from Kilauea’s mantle source","interactions":[],"lastModifiedDate":"2024-12-04T15:22:55.307538","indexId":"70261271","displayToPublicDate":"2024-11-16T08:12:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Awakening of Maunaloa linked to melt shared from Kilauea’s mantle source","docAbstract":"<p>Maunaloa—the largest active volcano on Earth—erupted in 2022 after its longest known repose period (~38 years) and two decades of volcanic unrest. This eruptive hiatus at Maunaloa encompasses most of the ~35-year-long Puʻuʻōʻō eruption of neighboring Kīlauea, which ended in 2018 with a collapse of the summit caldera and an unusually voluminous (~1 km<sup>3</sup>) rift eruption. A long-term pattern of such anticorrelated eruptive behavior suggests that a magmatic connection exists between these volcanoes within the asthenospheric mantle source and melting region, the lithospheric mantle, and/or the volcanic edifice. The exact nature of this connection is enigmatic. In the past, the distinct compositions of lavas from Kīlauea and Maunaloa were thought to require completely separate magma pathways from the mantle source of each volcano to the surface. Here, we use a nearly 200-yr record of lava chemistry from both volcanoes to demonstrate that melt from a shared mantle source within the Hawaiian plume may be transported alternately to Kīlauea or Maunaloa on a timescale of decades. This process led to a correlated temporal variation in <sup>206</sup>Pb/<sup>204</sup>Pb and <sup>87</sup>Sr/<sup>86</sup>Sr at these volcanoes since the early 19th century with each becoming more active when it received melt from the shared source. Ratios of highly over moderately incompatible trace elements (e.g., Nb/Y) at Kīlauea reached a minimum from ~2000 to 2010, which coincides with an increase in seismicity and inflation at the summit of Maunaloa. Thereafter, a reversal in Nb/Y at Kīlauea signals a decline in the degree of mantle partial melting at this volcano and suggests that melt from the shared source is now being diverted from Kīlauea to Maunaloa for the first time since the early to mid-20th century. These observations link a mantle-related shift in melt generation and transport at Kīlauea to the awakening of Maunaloa in 2002 and its eruption in 2022. Monitoring of lava chemistry is a potential tool that may be used to forecast the behavior (e.g., eruption rate and frequency) of these adjacent volcanoes on a timescale of decades. A future increase in eruptive activity at Maunaloa is likely if the temporal increase in Nb/Y continues at Kīlauea.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae121","usgsCitation":"Pietruszka, A., Heaton, D.E., Marske, J.P., Norman, M.D., Robbins, M.G., Mershon, R.B., Lynn, K.J., Downs, D.T., Steiner, A.R., Rhodes, J.M., and Garcia, M.O., 2024, Awakening of Maunaloa linked to melt shared from Kilauea’s mantle source: Journal of Petrology, v. 65, no. 12, egae121, 9 p., https://doi.org/10.1093/petrology/egae121.","productDescription":"egae121, 9 p.","ipdsId":"IP-169683","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae121","text":"Publisher Index Page"},{"id":464749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano, Maunaloa volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.62647011347312,\n              19.636068332660543\n            ],\n            [\n              -155.62647011347312,\n              19.326511618337022\n            ],\n            [\n              -155.16252314077784,\n              19.326511618337022\n            ],\n            [\n              -155.16252314077784,\n              19.636068332660543\n            ],\n            [\n              -155.62647011347312,\n              19.636068332660543\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"65","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pietruszka, Aaron J.","contributorId":346909,"corporation":false,"usgs":false,"family":"Pietruszka","given":"Aaron J.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":920179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heaton, Daniel E.","contributorId":172800,"corporation":false,"usgs":false,"family":"Heaton","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":920180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marske, Jared P.","contributorId":172801,"corporation":false,"usgs":false,"family":"Marske","given":"Jared","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":920181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norman, Marc D.","contributorId":344700,"corporation":false,"usgs":false,"family":"Norman","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":920182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robbins, Mahinaokalani G.","contributorId":346912,"corporation":false,"usgs":false,"family":"Robbins","given":"Mahinaokalani","email":"","middleInitial":"G.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":920183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mershon, Reed B.","contributorId":346915,"corporation":false,"usgs":false,"family":"Mershon","given":"Reed","email":"","middleInitial":"B.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":920184,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920185,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920186,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steiner, Arron R.","contributorId":346918,"corporation":false,"usgs":false,"family":"Steiner","given":"Arron","email":"","middleInitial":"R.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":920187,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rhodes, J. Michael","contributorId":215130,"corporation":false,"usgs":false,"family":"Rhodes","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":920188,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garcia, Michael O.","contributorId":225524,"corporation":false,"usgs":false,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":920189,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70263369,"text":"70263369 - 2024 - Seismicity zoning at Coso geothermal field and stress changes from fluid production and migration","interactions":[],"lastModifiedDate":"2025-02-07T18:50:48.949723","indexId":"70263369","displayToPublicDate":"2024-11-15T11:43:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seismicity zoning at Coso geothermal field and stress changes from fluid production and migration","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara012\" class=\"u-margin-s-bottom\">The Coso geothermal field is a major geothermal power production site in the western United States. It has been observed that low-magnitude seismic events (<i>M</i><span>&nbsp;</span>&lt; 3.71) are unevenly distributed in three distinct zones, namely, nearfield (&lt;3 km), midfield (3–6 km), and farfield (&gt; 6 km) from the Coso geothermal plant. These zones exhibit distinct changes in earthquake location before and during geothermal production episodes that began in 1986. After 1986, the midfield region of the main flank experiences a significantly lower seismicity rate than the surrounding areas before production episodes. During 2014–2019, the farfield earthquakes cluster in the eastern and western parts of the greater Coso area, which is discernably different from how those pre-production earthquake events were distributed along the conjugate NW-SE and SW-NW trending structures across the main flank. Here, we analyze the stage of stress with finite-element-based poroelastic simulations to illustrate how the spatiotemporal evolution of the seismicity is associated with the pattern of stress perturbations caused by fluid migration amid the operations of geothermal power plants. Generally, ∼70% of co-production seismicity is found in zones of increased Coulomb stress between 2014 and 2019 at &gt;99% confidence. Meanwhile, the midfield zone of seismic paucity overlaps with the zone of decreasing pore-fluid pressure. Overall, the results provide a physical explanation of how decadal geothermal operations at Coso have perturbed stress-field changes and contributed to the evolving characteristic seismic pattern, shedding insights into assessing the seismic hazard in other geothermal settings.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.119000","usgsCitation":"Tung, S., Kaven, J., Shirzaei, M., Masterlark, T., Wang, H., Huang, W., and Feigl, K., 2024, Seismicity zoning at Coso geothermal field and stress changes from fluid production and migration: Earth and Planetary Science Letters, v. 646, 119000, 12 p., https://doi.org/10.1016/j.epsl.2024.119000.","productDescription":"119000, 12 p.","ipdsId":"IP-153311","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":486994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.119000","text":"Publisher Index Page"},{"id":481807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.91773683137106,\n              36.20545214260291\n            ],\n            [\n              -117.91773683137106,\n              36.00036565020022\n            ],\n            [\n              -117.6177562823135,\n              36.00036565020022\n            ],\n            [\n              -117.6177562823135,\n              36.20545214260291\n            ],\n            [\n              -117.91773683137106,\n              36.20545214260291\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"646","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tung, Sui","contributorId":350692,"corporation":false,"usgs":false,"family":"Tung","given":"Sui","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":926663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, Joern 0000-0003-2625-2786","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":217694,"corporation":false,"usgs":true,"family":"Kaven","given":"Joern","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shirzaei, Manoochehr","contributorId":350693,"corporation":false,"usgs":false,"family":"Shirzaei","given":"Manoochehr","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":926665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masterlark, Timothy","contributorId":350694,"corporation":false,"usgs":false,"family":"Masterlark","given":"Timothy","affiliations":[{"id":35607,"text":"South Dakota School of Mines","active":true,"usgs":false}],"preferred":false,"id":926666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Herbert F.","contributorId":350695,"corporation":false,"usgs":false,"family":"Wang","given":"Herbert F.","affiliations":[{"id":83274,"text":"University of Wisconsin–Madison","active":true,"usgs":false}],"preferred":false,"id":926667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huang, Wei-Chung","contributorId":350696,"corporation":false,"usgs":false,"family":"Huang","given":"Wei-Chung","affiliations":[{"id":34828,"text":"Navy Geothermal Program Office","active":true,"usgs":false}],"preferred":false,"id":926668,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Feigl, Kurt L.","contributorId":350697,"corporation":false,"usgs":false,"family":"Feigl","given":"Kurt L.","affiliations":[{"id":83274,"text":"University of Wisconsin–Madison","active":true,"usgs":false}],"preferred":false,"id":926669,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70260970,"text":"70260970 - 2024 - Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources","interactions":[],"lastModifiedDate":"2024-11-27T16:09:53.482598","indexId":"70260970","displayToPublicDate":"2024-11-15T11:29:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources","docAbstract":"<p>As part of U.S. Geological Survey's (USGS) efforts to identify and assess geothermal energy resources of the US, a three-dimensional (3D) geologic and thermal model has been constructed for the Williston Basin, USA. The geologic model consists of all sedimentary units above the Proterozoic and Archean crystalline rock (called basement herein), with a total sedimentary thickness of up to 5 km near the basin center. Twenty-nine geologic units were mapped from interpreted formation tops from 16,465 wells. A 3D temperature model was constructed to a depth of 7 km by constructing a 3D heat flow model for the sedimentary units, followed by estimating underlying temperature using a one-dimensional (1D) analytic solution for heat flow within the underlying crystalline basement. Using the sedimentary basin model, heat flow was simulated in 3D and was calibrated using three temperature datasets: 1) 24 high-confidence static temperature logs (equilibrium thermal profiles), 2) more than15,000 drill stem test (DST) measurements from &gt;7,000 wells, and 3) more than 45,000 bottomhole temperature (BHT) measurements from &gt;14,000 wells. The DST and BHT datasets provide broad spatial coverage, but are lower confidence, primarily because measurements were made prior to attaining thermal equilibrium. DST and BHT measurements were binned regionally to develop representative thermal profiles that generally agree with these lower quality data (hereafter called pseudowell temperature profiles). Layer properties (primarily thermal conductivity and compaction curves) were set to best estimate values, then the heat flow model was calibrated to fit pseudowell and static temperature logs primarily by adjusting basal heat flow to approximate the overall temperature profile. Minor adjustments to thermal conductivity allowed adjusting changes in slope at lithologic contacts. Resulting maps include 3D temperature and basal (bottom of sedimentary units) heat flow estimates, which are used as input for the temperature model of the basement. The crystalline basement temperature model uses an analytic 1D solution to the heat flow equation that requires estimates of heat flow and temperature at the upper boundary (i.e., the sediment/basement contact), radiogenic heat production within the crystalline basement, and reference thermal conductivity (i.e., uncorrected for temperature). Two regions of high heat flow are identified: 1) in western North Dakota along the North American Central Plains Conductivity Anomaly and 2) in eastern Montana near the Poplar dome. Within the sedimentary column in the center of the basin of the basin, an area of approximately 100,000 km2 is predicted to have moderate- to high-temperature geothermal resources (&gt;90 °C) under the thickest sequences of sediments. Where thick insulation and high heat flow coincide, electric-grade resources can be less than 4 km deep. Assuming a maximum feasible drilling depth of 7 km, temperatures are predicted to be as high as 175 °C. The geologic model may be used to identify strata at sufficient temperatures that may have natural permeability or that may have conditions that favor development of enhanced/engineered geothermal systems resources.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2024.103196","usgsCitation":"Gelman, S.E., and Burns, E.R., 2024, Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources: Geothermics, v. 125, 103196, 9 p., https://doi.org/10.1016/j.geothermics.2024.103196.","productDescription":"103196, 9 p.","ipdsId":"IP-165645","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":466763,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2024.103196","text":"Publisher Index Page"},{"id":464292,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.05487036081263,\n              49.09401622161886\n            ],\n            [\n              -107.05487036081263,\n              45.9204646960259\n            ],\n            [\n              -100.81731222757732,\n              45.9204646960259\n            ],\n            [\n              -100.81731222757732,\n              49.09401622161886\n            ],\n            [\n              -107.05487036081263,\n              49.09401622161886\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":918757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270062,"text":"70270062 - 2024 - Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands","interactions":[],"lastModifiedDate":"2025-08-08T15:24:31.376369","indexId":"70270062","displayToPublicDate":"2024-11-15T10:19:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands","docAbstract":"<p><span>Expansions in the extent and infestation levels of exotic annual grass (EAG) within the rangelands of the western United States are well documented. Land managers are tasked with developing plans to limit EAG spread and prevent irreversible ecosystem deterioration. The most common EAG species and the subject of extensive study is&nbsp;</span><span class=\"html-italic\">Bromus tectorum</span><span>&nbsp;(cheatgrass). Cheatgrass has spread rapidly in western rangelands since its initial invasion more than 100 years ago. Another concerning aggressive EAG,&nbsp;</span><span class=\"html-italic\">Taeniatherum caput-medusae</span><span>&nbsp;(medusahead), is also commonly found in some of these areas. To control the spread of EAGs, researchers have investigated applying several control methods during different developmental stages of cheatgrass and medusahead. These control strategies require accurate maps of the timing and spatial patterns of the developmental stages to apply mitigation strategies in the correct areas at the right time. In this study, we developed annual phenological datasets for cheatgrass and medusahead with two objectives. The first objective was to determine if cheatgrass and medusahead can be differentiated at 30 m resolution using their phenological differences. The second objective was to establish an annual phenology metric regression tree model used to map the growing seasons of cheatgrass and medusahead. Harmonized Landsat and Sentinel-2 (HLS)-derived predicted weekly cloud-free 30 m normalized difference vegetation index (NDVI) images were used to develop these metric maps. The result of this effort was maps that identify the start and end of sustained growing season time for cheatgrass and medusahead at 30 m for the Snake River Plain and Northern Basin and Range ecoregions. These phenological datasets also identify the start and end-of-season NDVI values, along with maximum NDVI throughout the study period. These metrics may be utilized to characterize annual growth patterns for cheatgrass and medusahead. This approach can be utilized to plan time-sensitive control measures such as herbicide applications or cattle grazing.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs16224258","usgsCitation":"Benedict, T.D., Boyte, S., and Dahal, D., 2024, Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands: Remote Sensing, v. 16, no. 22, 4258, 21 p., https://doi.org/10.3390/rs16224258.","productDescription":"4258, 21 p.","ipdsId":"IP-171996","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16224258","text":"Publisher Index Page"},{"id":493848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100.28187929406397,\n              48.82060636906533\n            ],\n            [\n              -124.99361768794509,\n              48.88697493321598\n            ],\n            [\n              -124.99361768794509,\n              30.85327470627726\n            ],\n            [\n              -99.69664006714606,\n              30.849197853937767\n            ],\n            [\n              -100.28187929406397,\n              48.82060636906533\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Benedict, Trenton David 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":346111,"corporation":false,"usgs":true,"family":"Benedict","given":"Trenton","middleInitial":"David","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":945268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":205374,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":945269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":945270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263331,"text":"70263331 - 2024 - Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons","interactions":[],"lastModifiedDate":"2025-02-06T16:19:44.84516","indexId":"70263331","displayToPublicDate":"2024-11-15T10:16:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons","docAbstract":"<p><span>Crude oil toxicity to early life stage fish is commonly attributed to polycyclic aromatic hydrocarbons (PAHs). However, it remains unclear how the polar unresolved complex mixture (UCM), which constitutes the bulk of the water-soluble fraction of crude oil, contributes to crude oil toxicity. Additionally, the role of photomodification-induced toxicity in relation to the polar UCM is not well understood. This study addresses these knowledge gaps by assessing the toxicity of two laboratory generated polar UCMs from Cook Inlet crude oil, representing the readily water-soluble fraction of crude oil and photoproduced hydrocarbon oxidation products (HOPs), to Pacific herring (</span><i>Clupea pallasii</i><span>) embryos. A small-scale semi-static exposure design was utilized with a range of polar UCM concentrations (0.5–14&nbsp;mg/L) in nonvolatile dissolved organic carbon (NVDOC) units, quantifying the entire polar UCM. Compositional analyses revealed a photochemical-driven shift toward more complex aromatic compositions, naphthenic acids, and no detectable levels of PAHs (above 0.3&nbsp;μg/L). Exposure to the dark polar UCM resulted in higher mortality than exposure to the light polar UCM. Both dark and light polar UCMs induced developmental abnormalities commonly attributed to the PAH fraction, including edema, reduced heart rate, body axis defects, and decreased body lengths, with these effects observed at the lowest dose group (0.5&nbsp;mg/L NVDOC). These responses suggest photomodification-induced toxicity is driven by exposure to increased concentrations of dissolved HOPs rather than photochemical induced compositional changes. Gene expression analyses focusing on xenobiotic metabolism and cardiac morphogenesis yielded results consistent with previous studies examining the biological mechanisms of crude oil toxicity. In summary, these phenotypic and genotypic responses in Pacific herring embryos indicate that the polar UCM is a significant driver of crude oil toxicity. These findings emphasize the importance of considering the polar UCM in future studies, metric reporting, and risk assessments related to crude oil toxicity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.177447","usgsCitation":"Harsha, M.L., Salas-Ortiz, Y., Cypher, A., Osborn, E., Turcios Valle, E., Gregg, J.L., Hershberger, P., Kurerov, Y., King, S., Goranov, A., Hatcher, P., Konefal, A., Cox, T., Greer, J.B., Meador, J., Tarr, M., Tomco, P., and Podgorski, D.C., 2024, Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons: Science of the Total Environment, v. 957, 177447, 14 p., https://doi.org/10.1016/j.scitotenv.2024.177447.","productDescription":"177447, 14 p.","ipdsId":"IP-169067","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":486981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.177447","text":"Publisher Index Page"},{"id":481752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"957","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harsha, Maxwell L.","contributorId":328609,"corporation":false,"usgs":false,"family":"Harsha","given":"Maxwell","email":"","middleInitial":"L.","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":926424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salas-Ortiz, Yanila","contributorId":350611,"corporation":false,"usgs":false,"family":"Salas-Ortiz","given":"Yanila","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cypher, Alysha D.","contributorId":350612,"corporation":false,"usgs":false,"family":"Cypher","given":"Alysha D.","affiliations":[{"id":83789,"text":"Prince William Sound Science Center, Cordova, Alaska","active":true,"usgs":false}],"preferred":false,"id":926426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborn, Ed","contributorId":350613,"corporation":false,"usgs":false,"family":"Osborn","given":"Ed","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turcios Valle, Eduardo","contributorId":350614,"corporation":false,"usgs":false,"family":"Turcios Valle","given":"Eduardo","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurerov, Yuri","contributorId":350615,"corporation":false,"usgs":false,"family":"Kurerov","given":"Yuri","affiliations":[{"id":83790,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana; Eurofins Central Analytical Laboratories, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926431,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Sarah","contributorId":329377,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":926432,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goranov, Aleksandar I.","contributorId":350616,"corporation":false,"usgs":false,"family":"Goranov","given":"Aleksandar I.","affiliations":[{"id":83791,"text":"Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia","active":true,"usgs":false}],"preferred":false,"id":926433,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hatcher, Patrick G.","contributorId":350617,"corporation":false,"usgs":false,"family":"Hatcher","given":"Patrick G.","affiliations":[{"id":83791,"text":"Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia","active":true,"usgs":false}],"preferred":false,"id":926434,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Konefal, Anastasia","contributorId":350618,"corporation":false,"usgs":false,"family":"Konefal","given":"Anastasia","affiliations":[{"id":83792,"text":"Department of Biological Sciences, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926435,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cox, T. Erin","contributorId":350619,"corporation":false,"usgs":false,"family":"Cox","given":"T. Erin","affiliations":[{"id":83792,"text":"Department of Biological Sciences, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926436,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926437,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meador, James P.","contributorId":174075,"corporation":false,"usgs":false,"family":"Meador","given":"James P.","affiliations":[],"preferred":false,"id":926438,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tarr, Matthew A.","contributorId":350620,"corporation":false,"usgs":false,"family":"Tarr","given":"Matthew A.","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926439,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Tomco, Patrick L.","contributorId":350621,"corporation":false,"usgs":false,"family":"Tomco","given":"Patrick L.","affiliations":[{"id":83793,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana;  Department of Chemistry, University of Alaska Anchorage, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":926440,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":926441,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70261006,"text":"70261006 - 2024 - Shallow lake, strong shake: Record of seismically triggered lacustrine sedimentation from the 1959 M7.3 Hebgen Lake earthquake within Henrys Lake, Idaho","interactions":[],"lastModifiedDate":"2024-11-20T16:01:17.986427","indexId":"70261006","displayToPublicDate":"2024-11-15T08:52:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Shallow lake, strong shake: Record of seismically triggered lacustrine sedimentation from the 1959 M7.3 Hebgen Lake earthquake within Henrys Lake, Idaho","docAbstract":"<p>We investigate a shallow lake basin for evidence of a large historic intraplate earthquake in western North America. Henrys Lake, Idaho is an atypical candidate for a lacustrine paleoseismic study given its shallow depth (~7 m) and low relief <span>(≤2° slopes</span>). Here, we test the earthquake-recording capacity of this basin type by showing sedimentological evidence of the 1959 M7.3 Hebgen Lake earthquake within sediment cores, using anthropogenically produced <sup>137</sup>Cs activity to constrain timing. In addition to expanding the morphologic range of basins targeted for lacustrine paleoseismic studies, this work has implications for sediment response in dam-enhanced basins. Lack of sedimentological evidence for other earthquakes coupled with radiocarbon chronology reveals that the 1959 event is the only clearly recorded earthquake within Henrys Lake since the mid-Holocene. Henrys Lake offers a proxy for paleo-earthquake signatures within similar lacustrine environments and underscores the importance of further paleoseismic studies in the region.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2024GL110889","usgsCitation":"Nicovich, S.R., DuRoss, C., Jobe, J.A., Rodysill, J.R., Briggs, R.W., Hatem, A.E., Tan, M.M., Gavillot, Y., Lindberg, N.S., Strickland, L.E., and Padgett, J.S., 2024, Shallow lake, strong shake: Record of seismically triggered lacustrine sedimentation from the 1959 M7.3 Hebgen Lake earthquake within Henrys Lake, Idaho: Geophysical Research Letters, v. 51, no. 22, e2024GL110889, 11 p., https://doi.org/10.1029/2024GL110889.","productDescription":"e2024GL110889, 11 p.","ipdsId":"IP-167885","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":466764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl110889","text":"Publisher Index Page"},{"id":464345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Hebgen Lake, Henrys Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.45881148824645,\n              44.845297009896484\n            ],\n            [\n              -111.45881148824645,\n              44.610209622907945\n            ],\n            [\n              -111.13135522334028,\n              44.610209622907945\n            ],\n            [\n              -111.13135522334028,\n              44.845297009896484\n            ],\n            [\n              -111.45881148824645,\n              44.845297009896484\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - 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-79.60693359375,\n              27.27416111737468\n            ],\n            [\n              -80.68359375,\n              30.713503990354965\n            ],\n            [\n              -80.66162109375,\n              31.50362930577303\n            ],\n            [\n              -76.81640625,\n              34.07086232376631\n            ],\n            [\n              -75.16845703124999,\n              35.263561862152095\n            ],\n            [\n              -75.498046875,\n              37.055177106660814\n            ],\n            [\n              -73.58642578125,\n              39.90973623453719\n            ],\n            [\n              -71.3671875,\n              40.84706035607122\n            ],\n            [\n              -69.63134765625,\n              40.9964840143779\n            ],\n            [\n              -70.0048828125,\n              42.342305278572816\n            ],\n            [\n              -70.3564453125,\n              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href=\"https://pubs.usgs.gov/contact\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"../contact\">Contact Publications Warehouse</a></p>","publishedDate":"2024-11-15","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918527,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70260922,"text":"gip243 - 2024 - U.S. Geological Survey Groundwater Climate Response Network—2023","interactions":[],"lastModifiedDate":"2025-07-08T19:59:39.592271","indexId":"gip243","displayToPublicDate":"2024-11-15T07:20:59","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"243","displayTitle":"U.S. Geological Survey Groundwater Climate Response Network—2023","title":"U.S. Geological Survey Groundwater Climate Response Network—2023","docAbstract":"<p>As of October 2023, the U.S. Geological Survey (USGS) operated more than 660 sites across the United States and its territories as part of the Groundwater Climate Response Network (CRN). The CRN is comprised of wells and springs selected to monitor the effects of climate variability, such as droughts, on groundwater levels and spring discharge nationwide. The CRN includes more than 550 locations with realtime data and more than 100 sites with non-real-time data available to the public on the CRN web mapper and the USGS National Water Dashboard.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip243","usgsCitation":"Fine, J., 2024, U.S. Geological Survey Groundwater Climate Response Network—2023: U.S. Geological Survey General Information Product 243, https://doi.org/10.3133/gip243.","productDescription":"1 p.","ipdsId":"IP-167529","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481896,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip245","text":"GIP 245","description":"GIP 245","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Surface Water—2023"},{"id":481895,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481897,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"},{"id":481894,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip242","text":"GIP 242","description":"GIP 242","linkHelpText":"— The U.S. Geological Survey National Streamgage Network—2023"},{"id":464075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/243/gip243.pdf","text":"Report","size":"297 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 2043"},{"id":464074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/243/gip243.jpg"}],"contact":"<p>National Groundwater Networks Coordinator<br><a href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/observing-systems-division\">Observing Systems Division</a><br>Water Mission Area<br>U.S. Geological Survey<br>2730 Deer Run Rd.<br>Carson City, NV 89701<br><a href=\"https://pubs.usgs.gov/contact\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"../contact\">Contact Publications Warehouse</a></p>","publishedDate":"2024-11-15","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Fine, Jason 0000-0002-6386-256X","orcid":"https://orcid.org/0000-0002-6386-256X","contributorId":346257,"corporation":false,"usgs":false,"family":"Fine","given":"Jason","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":false,"id":918524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":203416,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918525,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70260977,"text":"70260977 - 2024 - Advancing sustainable groundwater management with a hydro-economic system model: Investigations in the Harney Basin, Oregon","interactions":[],"lastModifiedDate":"2024-11-19T19:40:18.336461","indexId":"70260977","displayToPublicDate":"2024-11-14T13:32:20","publicationYear":"2024","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":"Advancing sustainable groundwater management with a hydro-economic system model: Investigations in the Harney Basin, Oregon","docAbstract":"Groundwater resources frequently trend toward unsustainable levels because, absent effective institutions, individual water users generally act independently without considering the impacts on other users. Hydro-economic models (HEMs) of human-natural systems can play a positive role toward successful groundwater management by yielding valuable knowledge and insight. The current study explores how an HEM that captures essential physical and economic characteristics of a system can shed light on the system's processes and dynamics to benefit stakeholders, managers, and also researchers. These propositions are illustrated using the Harney Basin, Oregon, which has seen large groundwater declines in the past 20 years. The HEM shows that: (a) although current groundwater pumping rates will gradually raise costs and reduce well yields, irrigators gain the highest aggregate economic return by continuing current pumping; (b) lowland areas of the basin are hydrologically connected, which limits the efficacy of remedies focused on regulations only in some portions of the basin; (c) community expectations regarding the efficacy of several proposed solutions are overly optimistic; and (d) the study's scenarios identify interventions that would stabilize the groundwater system and prevent additional adverse impacts on residential and livestock wells and groundwater-dependent ecosystems. These interventions would require limiting groundwater pumping by nearly half and reducing annual profits by $7.5–$9.0M. The HEM also demonstrated its value to researchers: its insights shifted attention toward questions about Oregon's existing groundwater institutions and their inability to adaptively manage the transition from abundant groundwater to scarce groundwater in a timely manner.","language":"English","publisher":"Wiley","doi":"10.1029/2023WR036972","usgsCitation":"Jaeger, W.K., Antle, J.M., Gingerich, S.B., and Bigelow, D., 2024, Advancing sustainable groundwater management with a hydro-economic system model: Investigations in the Harney Basin, Oregon: Water Resources Research, v. 60, e2023WR036972, 26 p., https://doi.org/10.1029/2023WR036972.","productDescription":"e2023WR036972, 26 p.","ipdsId":"IP-159409","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":466765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr036972","text":"Publisher Index Page"},{"id":464300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Harney","otherGeospatial":"Harney Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.44430319880412,\n              44.965776942074626\n            ],\n            [\n              -121.44430319880412,\n              42.262073209475204\n            ],\n            [\n              -117.31344382380401,\n              42.262073209475204\n            ],\n            [\n              -117.31344382380401,\n              44.965776942074626\n            ],\n            [\n              -121.44430319880412,\n              44.965776942074626\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaeger, William K.","contributorId":338398,"corporation":false,"usgs":false,"family":"Jaeger","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":918781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antle, John M.","contributorId":197804,"corporation":false,"usgs":false,"family":"Antle","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":918782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bigelow, Daniel 0000-0002-1154-2302","orcid":"https://orcid.org/0000-0002-1154-2302","contributorId":346353,"corporation":false,"usgs":false,"family":"Bigelow","given":"Daniel","email":"","affiliations":[{"id":82838,"text":"Oregon State University Applied Economics Department","active":true,"usgs":false}],"preferred":false,"id":918784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267760,"text":"70267760 - 2024 - Evaluating spatially explicit management alternatives for an invasive species in a riverine network","interactions":[],"lastModifiedDate":"2025-05-30T15:47:18.945176","indexId":"70267760","displayToPublicDate":"2024-11-14T10:37:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spatially explicit management alternatives for an invasive species in a riverine network","docAbstract":"<p><span>Invasive species have substantial ecological and economic costs and removing them can require large investments by management agencies. Optimal spatial allocation of removal effort is critical for efficient and effective management of invasive species. Using a series of ecologically informed model simulations, we evaluated and compared different spatially explicit removal strategies for invasive rusty crayfish (</span><i><span><span class=\"tn\" data-obkms-id=\"846CDE6A-6ECE-442E-B9F5-9E592C2AAE73\" data-taxon-parsed-name=\"Faxonius rusticus\"><span class=\"genus\">Faxonius</span>&nbsp;<span class=\"species\">rusticus</span></span></span></i><span>) in the John Day River, USA. We assessed strategies in terms of their performance on three likely management objectives: suppression (minimise overall population abundance), containment (minimise the spatial extent of invasion) and prevention (minimise spread into a specific area). We developed five spatial removal strategies to achieve those objectives, denoted as: Target Abundance (removal at locations with the highest population abundance), Target Growth (removal at locations with the highest population growth), Target Edges (removal at the most distant locations in the river), Target Downstream (removal at the most downstream invaded segments on the Mainstem), and Target Random (removal at randomly selected locations). Each strategy was assessed at various effort levels, referring to the number of spatial segments in the river in which removals were conducted, after seven years of management. We identified the alternative that best achieved each objective, based on decision criteria for risk-neutral and risk-averse decision-makers and further evaluated strategies based on Pareto efficiency, which identifies the set of alternatives for which an improvement on one objective cannot be had without a decline in performance on another. We found that Target Abundance and Target Growth strategies best achieved the suppression objective, for risk neutral and risk averse decision-makers, respectively and Target Downstream was always best in achieving the prevention objective across both types of decision-makers. No single strategy consistently performed best in terms of the containment objective. In terms of all three objectives, Target Downstream was consistently Pareto efficient across all levels of management effort and both decision criteria. The modelling framework we provided is adaptable to a variety of riverine invasive species to help assess and compare spatial management strategies.</span></p>","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.96.132363","usgsCitation":"Thompson, B., Olden, J., and Converse, S.J., 2024, Evaluating spatially explicit management alternatives for an invasive species in a riverine network: NeoBiota, v. 96, p. 151-172, https://doi.org/10.3897/neobiota.96.132363.","productDescription":"22 p.","startPage":"151","endPage":"172","ipdsId":"IP-171897","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.96.132363","text":"Publisher Index Page"},{"id":489267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.88075847388461,\n              45.69676723476786\n            ],\n            [\n              -120.88724466132285,\n              44.11199343230538\n            ],\n            [\n              -118.7532889941624,\n              44.11661864634385\n            ],\n            [\n              -118.77274755647663,\n              45.69676723476786\n            ],\n            [\n              -120.88075847388461,\n              45.69676723476786\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Brielle K.","contributorId":355570,"corporation":false,"usgs":false,"family":"Thompson","given":"Brielle K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":938754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":338326,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":938755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":938756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262249,"text":"70262249 - 2024 - A synthesis of the characteristics and drivers of introduced fishes in prairie streams: Can we manage introduced harmful fishes in these dynamic environments?","interactions":[],"lastModifiedDate":"2025-01-17T16:45:52.438011","indexId":"70262249","displayToPublicDate":"2024-11-14T09:36:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of the characteristics and drivers of introduced fishes in prairie streams: Can we manage introduced harmful fishes in these dynamic environments?","docAbstract":"<p><span>Prairie streams of North America support native fishes that are adapted to the dynamic environment that characterizes these ecologically and economically important ecosystems. However, prairie streams have been altered by landscape changes that may affect the proportions of native and introduced species in fish communities. Herein, we investigate drivers of introduced fish in prairie streams, detail common introduced species and their traits and effects, investigate how climate change may alter the balance between native and introduced species, and summarize management options. Commonly introduced fishes are those with the ability to tolerate extreme variations in temperature, hydrology, and salinity and, as a result, most of the introduced fishes were native to other prairie streams within the Great Plains ecoregion. This suggests environmental extremes may act as a filter for establishment or that short-distance translocations are more common than introductions from other ecoregions. The mechanisms or extent to which introduced species affect native fishes is often assumed or understudied. Climate change may amplify environmental disturbances in ways that may favor native or introduced fishes depending on species traits and biotic interactions. Actions such as habitat modifications or disturbances may favor introduced fishes over native fishes. Research to understand the relative roles of trait preadaptation and spatial proximity of source populations in introduced species establishment could benefit future management. Moreover, patterns observed in other ecosystems may not be transferrable to prairie streams, highlighting the need to understand the context dependency of effects of introduced species.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10530-024-03450-y","usgsCitation":"Coulter, A., Moore, M.J., Golcher-Benavides, J., Rahel, F.J., Walters, A.W., Brewer, S., and Wildhaber, M.L., 2024, A synthesis of the characteristics and drivers of introduced fishes in prairie streams: Can we manage introduced harmful fishes in these dynamic environments?: Biological Invasions, v. 26, p. 4011-4033, https://doi.org/10.1007/s10530-024-03450-y.","productDescription":"23 p.","startPage":"4011","endPage":"4033","ipdsId":"IP-160187","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03450-y","text":"Publisher Index Page"},{"id":480749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"North American Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.30865918818435,\n              51.00019043175968\n            ],\n            [\n              -108.8244372572745,\n              47.17125929409586\n            ],\n            [\n              -106.13072410712726,\n              42.33953855703288\n            ],\n            [\n              -104.22086600055933,\n              40.10613156257109\n            ],\n            [\n              -104.39837770581909,\n              36.40878493463546\n            ],\n            [\n              -104.26570852411,\n              33.836825487233355\n            ],\n            [\n              -102.59989428051855,\n              31.991484684655916\n            ],\n            [\n              -98.85669537584786,\n              31.98987602981056\n            ],\n            [\n              -94.06006847133565,\n              38.705570253107695\n            ],\n            [\n              -94.4212804260574,\n              43.37128007692609\n            ],\n            [\n              -96.14739688752542,\n              48.2616932328075\n            ],\n            [\n              -96.41979434976253,\n              50.75373398643449\n            ],\n            [\n              -96.92898991711421,\n              51.5227386971378\n            ],\n            [\n              -99.57727818526257,\n              52.66077258131\n            ],\n            [\n              -107.3372532002433,\n              51.958499229615185\n            ],\n            [\n              -111.30865918818435,\n              51.00019043175968\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Coulter, A. 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A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":923644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Michael J. 0000-0002-5495-7049","orcid":"https://orcid.org/0000-0002-5495-7049","contributorId":304258,"corporation":false,"usgs":true,"family":"Moore","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golcher-Benavides, Jimena","contributorId":348598,"corporation":false,"usgs":false,"family":"Golcher-Benavides","given":"Jimena","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":923646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":923647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":923649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":923650,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261775,"text":"70261775 - 2024 - Simple stated preference questions can enhance transdisciplinary projects: Linking perceived risks with willingness to spray and pay","interactions":[],"lastModifiedDate":"2024-12-23T16:37:01.405686","indexId":"70261775","displayToPublicDate":"2024-11-14T09:26:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5848,"text":"Environmental and Resource Economics","onlineIssn":"1573-1502","printIssn":"0924-6460","active":true,"publicationSubtype":{"id":10}},"title":"Simple stated preference questions can enhance transdisciplinary projects: Linking perceived risks with willingness to spray and pay","docAbstract":"Transdisciplinary projects can uncover crucial insights on people’s past and future risk-mitigation behavior. We focus on a novel risk context: increasing health threats from ticks on Staten Island, a New York City borough where the combination of high population density and extensive park systems and green spaces has resulted in a rise in locally-acquired tick-transmitted disease cases. We administered a knowledge, attitudes, and practices survey that additionally included simple economic stated preference questions about people’s willingness to spray tick pesticides in the future. We first analyze factors that are correlated with people’s perceptions of two types of risks: exposure to ticks and infection with Lyme disease. Next, we use the nonmarket valuation questions to test people’s willingness to spray and pay as a function of attributes of the hypothetical pesticides, including cost, effectiveness, and type. Across all model specifications, overall willingness to pay (WTP) to spray increases with increases in pesticide effectiveness, as well as with favorable pesticide type (organic). We uncover threshold pesticide effectiveness levels at which WTP to spray turns positive, and we find that lower pesticide effectiveness is required for organic pesticide. Finally, we test how perceived risks and various individual-specific characteristics correlate with WTP to spray. Combinations of higher perceived risks are linked both with higher WTP and lower breakeven pesticide effectiveness. Our work shows that a broad range of variables influence demand for self-protection actions, both directly and indirectly (through their effects on perceived risks). Such insights on people’s tradeoffs carry important policy implications, but they can be missed if economic information is either not elicited or elicited alone.","language":"English","publisher":"Springer Nature","doi":"10.1007/s10640-024-00923-5","usgsCitation":"Enriquez, A.J., Berry, K., Fernandez, M., Gregory, N., Ernst, K.C., Hayden, M.H., and Diuk-Wasser, M.A., 2024, Simple stated preference questions can enhance transdisciplinary projects: Linking perceived risks with willingness to spray and pay: Environmental and Resource Economics, v. 88, p. 81-124, https://doi.org/10.1007/s10640-024-00923-5.","productDescription":"44 p.","startPage":"81","endPage":"124","ipdsId":"IP-155058","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10640-024-00923-5","text":"Publisher Index Page"},{"id":465439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Staten Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.20533995856798,\n              40.64942836406519\n            ],\n            [\n              -74.21801184111787,\n              40.577295563468994\n            ],\n            [\n              -74.24899218747878,\n              40.548387271105895\n            ],\n            [\n              -74.26692137394798,\n              40.507364607877975\n            ],\n            [\n              -74.2473514200188,\n              40.4985817976507\n            ],\n            [\n              -74.14951843995719,\n              40.519525822175325\n            ],\n            [\n              -74.07777920044828,\n              40.56028515839262\n            ],\n            [\n              -74.05165602307073,\n              40.600174493513464\n            ],\n            [\n              -74.06691131937252,\n              40.64774134809241\n            ],\n            [\n              -74.20533995856798,\n              40.64942836406519\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kevin","contributorId":346487,"corporation":false,"usgs":false,"family":"Berry","given":"Kevin","email":"","affiliations":[{"id":82879,"text":"Department of Economics, University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":921765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez, Maria del Pilar","contributorId":347473,"corporation":false,"usgs":false,"family":"Fernandez","given":"Maria del Pilar","affiliations":[{"id":83167,"text":"Paul G. Allen School for Global Health, College of Veterinary Medicine, Washington State University and Department of Ecology, Evolution and Environmental Biology, Columbia University","active":true,"usgs":false}],"preferred":false,"id":921766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory, Nichar","contributorId":347474,"corporation":false,"usgs":false,"family":"Gregory","given":"Nichar","email":"","affiliations":[{"id":83169,"text":"Department of Ecology, Evolution and Environmental Biology, Columbia University and EcoHealth Alliance","active":true,"usgs":false}],"preferred":false,"id":921767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ernst, Kacey C.","contributorId":346484,"corporation":false,"usgs":false,"family":"Ernst","given":"Kacey","email":"","middleInitial":"C.","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":921768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Mary H.","contributorId":148034,"corporation":false,"usgs":false,"family":"Hayden","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":921769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diuk-Wasser, Maria A.","contributorId":148025,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"Maria","email":"","middleInitial":"A.","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":921770,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261107,"text":"70261107 - 2024 - Urban tick exposure on Staten Island is higher in pet owners","interactions":[],"lastModifiedDate":"2024-11-22T15:14:45.336724","indexId":"70261107","displayToPublicDate":"2024-11-14T09:10:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Urban tick exposure on Staten Island is higher in pet owners","docAbstract":"<p><span>Over the past decade, Lyme and other tick-borne diseases have expanded into urban areas, including Staten Island, New York. While Lyme disease is often researched with a focus on human risk, domestic pets are also at risk of contracting the disease. The present study aims to describe differences in tick exposure, knowledge, attitude, and practices (KAP) between pet owners and non-owners, and to understand preventive strategies practiced by pet owners for themselves and their pets. We conducted KAP surveys via phone in 2020 and via face-to-face interviews in 2021, and we analyzed unique responses from 364 households on Staten Island. Pet owners were more likely to have ever found a tick on themselves or their household members (63%) than non-owners (46%) (p&lt;0.001). Among pet owners, those who owned dogs (dog-only or both dog and cat owners) were more likely to have ever found a tick on their pets than cat-only owners (p&lt;0.001). Compared with non-pet owners, pet owners were more likely both to know that ticks transmit Lyme disease (p&lt;0.001) and to avoid gardening to reduce their tick exposure (p = 0.032), but they were less likely to wear protective clothing or adjust clothing (p = 0.013). Compared with cat owners who had never found a tick on their cats, cat owners who had ever found a tick on their cats were more likely to let their cats go outside (p&lt;0.001). However, reported preventive measures on cats did not differ between pet owners who did and did not report tick exposure. The results indicate that encouraging pet owners to engage in preventative measures, both to protect themselves and their pets, is a potential avenue for healthcare providers and veterinarians to reduce risks from ticks.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0311891","usgsCitation":"Tamari, N., Ernst, K.C., Enriquez, A.J., Diuk-Wasser, M.A., Fernandez, M.P., Berry, K., and Hayden, M.H., 2024, Urban tick exposure on Staten Island is higher in pet owners: PLoS ONE, v. 19, no. 11, e0311891, 14 p., https://doi.org/10.1371/journal.pone.0311891.","productDescription":"e0311891, 14 p.","ipdsId":"IP-163077","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466767,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0311891","text":"Publisher Index Page"},{"id":464429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Staten Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.07806024534273,\n              40.64945423864248\n            ],\n            [\n              -74.13377232924223,\n              40.6425045489959\n            ],\n            [\n              -74.1849038769845,\n              40.64656237310163\n            ],\n            [\n              -74.20398425828141,\n              40.62918760362609\n            ],\n            [\n              -74.19940496676998,\n              40.60891132423919\n            ],\n            [\n              -74.20016818202188,\n              40.5932654181652\n            ],\n            [\n              -74.20550922902615,\n              40.57645749914269\n            ],\n            [\n              -74.21618774927414,\n              40.557911618466875\n            ],\n            [\n              -74.24518909175889,\n              40.5445725375144\n            ],\n            [\n              -74.24289783433477,\n              40.52195507745475\n            ],\n            [\n              -74.25663349242834,\n              40.505711152581995\n            ],\n            [\n              -74.24061360153277,\n              40.49293698728343\n            ],\n            [\n              -74.12842594834439,\n              40.52658443697581\n            ],\n            [\n              -74.04676191639285,\n              40.60369642911499\n            ],\n            [\n              -74.07806024534273,\n              40.64945423864248\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Tamari, Noriko","contributorId":346483,"corporation":false,"usgs":false,"family":"Tamari","given":"Noriko","email":"","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":919290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ernst, Kacey C.","contributorId":346484,"corporation":false,"usgs":false,"family":"Ernst","given":"Kacey","email":"","middleInitial":"C.","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":919291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diuk-Wasser, Maria A.","contributorId":148025,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"Maria","email":"","middleInitial":"A.","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":919293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez, Maria P.","contributorId":346486,"corporation":false,"usgs":false,"family":"Fernandez","given":"Maria","email":"","middleInitial":"P.","affiliations":[{"id":82878,"text":"Paul G. Allen School for Global Health, Washington State University","active":true,"usgs":false}],"preferred":false,"id":919294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berry, Kevin","contributorId":346487,"corporation":false,"usgs":false,"family":"Berry","given":"Kevin","email":"","affiliations":[{"id":82879,"text":"Department of Economics, University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":919295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Mary H.","contributorId":148034,"corporation":false,"usgs":false,"family":"Hayden","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":919296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261106,"text":"70261106 - 2024 - Field trials of an autonomous eDNA sampler in lotic waters","interactions":[],"lastModifiedDate":"2024-12-10T15:39:34.900781","indexId":"70261106","displayToPublicDate":"2024-11-14T08:03:25","publicationYear":"2024","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":"Field trials of an autonomous eDNA sampler in lotic waters","docAbstract":"Environmental DNA (eDNA) analysis has become a transformative technology, but sample collection methods lack standardization and sampling at effective frequencies requires considerable field effort. Autonomous eDNA samplers that can sample water at high frequencies offer potential solutions to these problems. We present results from four case studies using a prototype autonomous eDNA sampler as part of the U.S. Geological Survey’s Rapid Environmental eDNA Assessment and Deployment Initiative & Network (READI-Net) project. These case studies involved short-term deployments of an eDNA autosampler (Smith-Root) across a range of riverine habitats with the objectives of (a) identifying what insights could be gained from high-frequency autosampling and (b) benchmarking these autosamples against manually collected samples. The high frequency autosampling revealed high temporal variability of eDNA concentrations and provided valuable insights about eDNA associations with environmental covariates, such as discharge and turbidity. Benchmarking assessments indicated autosamples had similar detection rates to manual samples and obtained similar or greater eDNA quantities. We did find minimal carryover contamination in autosampler field controls. We conclude that eDNA autosamplers have potential to improve freshwater biosurveillance by reducing logistical sampling barriers, standardizing collection methods, and clarifying the influence of environmental covariates on eDNA results.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c04970","usgsCitation":"George, S.D., Sepulveda, A., Hutchins, P., Pilliod, D., Klymus, K.E., Thomas, A., Augustine, B., Huddleston Adrianza, C.C., Jones-Slobodian, D.N., Williams, J.R., and Leinonen, E., 2024, Field trials of an autonomous eDNA sampler in lotic waters: Environmental Science & Technology, v. 58, no. 47, p. 20942-20953, https://doi.org/10.1021/acs.est.4c04970.","productDescription":"12 p.","startPage":"20942","endPage":"20953","ipdsId":"IP-164661","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":466768,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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The first report in this series included emissions estimates from 2005 to 2014 and were reported for 29 States and two offshore areas. Native American and Tribal lands were not included in that analysis. This report recalculates those previous years (2005–14) with updated data and methods and extends the estimates to 2022. Nationwide emissions from fossil fuels produced on Federal lands in 2022 were 1,081.2 million metric tons of carbon dioxide equivalent (MMT CO<sub>2</sub> Eq.) for CO<sub>2</sub>, 33.4 MMT CO<sub>2</sub> Eq. for methane (CH<sub>4</sub>), and 4.3 MMT CO<sub>2</sub> Eq. for nitrous oxide (N<sub>2</sub>O). Compared to 2005, the 2022 totals represent decreases in emissions for all three greenhouse gases (by 17 percent for CO<sub>2</sub>, 37 percent for CH<sub>4</sub>, and 30 percent for N<sub>2</sub>O). Emissions from fossil fuels produced on Federal lands represent, on average, 21.8 percent of U.S. emissions for CO<sub>2</sub>, 6.1 percent for CH<sub>4</sub>, and 1.3 percent for N<sub>2</sub>O over the 18 years included in this estimate. The trends and relative magnitudes of the greenhouse gas emissions estimated are roughly parallel to the Federal lands fossil fuel production volumes.</p><p>In 2021, Federal lands of the conterminous United States stored 70,424 MMT CO<sub>2</sub> Eq. in terrestrial ecosystems. Soils stored most of the terrestrial ecosystem carbon (66 percent), followed by live vegetation (25 percent), deadwood (5 percent), and litter (4 percent). Carbon sequestration on Federal lands was highly variable over time, owing primarily to interannual variability in climate and weather, and variability in land use and land cover (LULC) change and disturbances, among these are wildfires and logging. Between 2005 and 2021, Federal lands sequestered an average of 83 MMT CO<sub>2</sub> Eq./yr. By subtracting the cumulative effects of LULC and disturbance-related CO<sub>2</sub> losses to the atmosphere from the total, we estimate that ecosystems at the national level sequestered CO<sub>2</sub> at an annual mean rate of 17 MMT CO<sub>2</sub> Eq./yr in a term called the net ecosystem exchange (NEE). This annual NEE sequestration value represents about 1.4 percent of average fossil fuel emissions over the same period.</p><p>The USGS estimates presented in this report represent an accounting for the emissions resulting from fossil fuel extraction on Federal lands and the end-use combustion of those fuels, as well as for the sequestration of carbon in terrestrial ecosystems on Federal lands. A combined net CO<sub>2</sub> emissions estimate, which is the difference between the emitted and sequestered CO<sub>2</sub> from both the fossil fuel and ecosystems estimates, provides context for evaluating the greenhouse gas contributions of activities on these lands. The estimates included in this report can provide context for future energy decisions, as well as a basis to track change in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245103","usgsCitation":"Merrill, M.D., Sleeter, B.M., and Freeman, P.A., 2024, Federal lands greenhouse gas emissions and sequestration in the United States—Estimates for 2005–22: U.S. Geological Survey Scientific Investigations Report 2024–5103, 39 p., https://doi.org/10.3133/sir20245103. 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Cited</li><li>Glossary</li><li>Appendix 1. Detailed Methods: Fossil Fuel-Associated Emissions of Greenhouse Gases from Federal Lands</li><li>Appendix 2. Detailed Methods: Terrestrial Ecosystem-Associated Carbon Emissions and Sequestration on Federal Lands</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-11-13","noUsgsAuthors":false,"publicationDate":"2024-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":917805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":339877,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin M.","affiliations":[],"preferred":true,"id":917806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":917807,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261076,"text":"70261076 - 2024 - Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration","interactions":[],"lastModifiedDate":"2025-01-13T16:19:04.407874","indexId":"70261076","displayToPublicDate":"2024-11-13T09:29:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17053,"text":"Wildlife Letters","active":true,"publicationSubtype":{"id":10}},"title":"Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration","docAbstract":"<p><span>Optimal egg size theory predicts females must balance investment per offspring to maximize fitness based on environmental quality. In wetlands, environmental quality can be duration of water and predator presence. Ectotherms using habitats that dry or contain predators are likely under selection to optimize offspring production. We measured reproductive output of wood frogs (</span><i>Rana sylvatica</i><span>) in 30 wetlands in Subarctic Canada, where rapid climate changes are accelerating wetland drying. We predicted wetlands with short hydroperiods would have larger ova, smaller clutch sizes, and larger ovum-to-clutch-sizes than wetlands with long hydroperiods or with fish predators. We found partial support for predictions with larger ova in habitats with short hydroperiods and no fish but no evidence of larger clutch sizes in wetlands with fish. Our study implicates changes to wetland hydroperiod as a source of plasticity affecting one aspect of reproductive effort (ovum size) in an ectotherm but not another (clutch size).</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wll2.12046","usgsCitation":"Davenport, J., Feltmann, A., Fishback, L., and Hossack, B., 2024, Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration: Wildlife Letters, v. 2, no. 3, p. 124-130, https://doi.org/10.1002/wll2.12046.","productDescription":"7 p.","startPage":"124","endPage":"130","ipdsId":"IP-159054","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466769,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wll2.12046","text":"Publisher Index Page"},{"id":464439,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.11271766961161,\n              58.79430825310797\n            ],\n            [\n              -94.11271766961161,\n              58.59950654149819\n            ],\n            [\n              -93.56955321517604,\n              58.59950654149819\n            ],\n            [\n              -93.56955321517604,\n              58.79430825310797\n            ],\n            [\n              -94.11271766961161,\n              58.79430825310797\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Jon M.","contributorId":126727,"corporation":false,"usgs":false,"family":"Davenport","given":"Jon M.","affiliations":[{"id":6583,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, USA 59812","active":true,"usgs":false}],"preferred":false,"id":919118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feltmann, Andrew","contributorId":346451,"corporation":false,"usgs":false,"family":"Feltmann","given":"Andrew","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":919119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fishback, LeeAnn","contributorId":168514,"corporation":false,"usgs":false,"family":"Fishback","given":"LeeAnn","email":"","affiliations":[{"id":25316,"text":"Churchill Northern Studies Centre, P.O. Box 610, Churchill, Manitoba, R0B 0E0, Canada","active":true,"usgs":false}],"preferred":false,"id":919120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919121,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263341,"text":"70263341 - 2024 - The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch","interactions":[],"lastModifiedDate":"2025-02-06T15:34:43.587539","indexId":"70263341","displayToPublicDate":"2024-11-13T09:27:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch","docAbstract":"<p><span>Imaging spectroscopy has been a recognized and established remote sensing technology since the 1980s, mainly using airborne and field-based platforms to identify and quantify key bio- and geo-chemical surface and atmospheric compounds, based on characteristic spectral reflectance features in the visible-near infrared (VNIR) and short-wave infrared (SWIR). Spaceborne missions, a leap in technology, were sparse, starting with the CHRIS/PROBA and EO1/Hyperion missions in the early 2000s, and providing spectroscopy data with limited spectral coverage and/or low data quality in the SWIR. Since 2019, several countries and agencies have successfully launched a number of spaceborne imaging spectroscopy systems into orbit or deployed them on the International Space Station (ISS) such as DESIS, PRISMA, HISUI, GF-5, EnMAP and EMIT. Among these recent missions, the German Environmental Mapping and Analysis Program (EnMAP) stands for its long-term development, sophisticated design with on-board calibration, high data quality requirements, and extensive accompanying science program. EnMAP was launched in April 2022 and, following a successful commissioning phase, started its operational activities in November 2022. The EnMAP mission encompasses global coverage from 80° N to 80° S through on-demand data acquisitions. Data are free and open access with 30&nbsp;m spatial resolution, a high spectral resolution with a spectral sampling distance of 6.5&nbsp;nm and 10&nbsp;nm in the VNIR and SWIR regions respectively, and a high signal-to-noise ratio. In this paper, we aim to present the mission's current status, coverage, science capabilities and performance two years after launch. We show the potential of EnMAP for space-based imaging spectroscopy to operate in various environments, including high and low light levels, dense forests, Antarctic glaciers, and arid agricultural areas. EnMAP enables various applications in fields such as agriculture and forestry, soil compositional, raw materials, and methane mapping, as well as water quality assessment, and snow and ice properties. The results show that EnMAP's performance exceeds the mission requirements, and highlights the significant potential for contribution to scientific exploitation in various geo- and biochemical sciences. EnMAP is also expected to serve as a key tool for the development and testing of data processing algorithms for upcoming global operational missions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114379","usgsCitation":"Chabrillat, S., Foerster, S., Segl, K., Beamish, A., Brell, M., Asadzadeh, S., Milewski, R., Ward, K., Brosinsky, A., Koch, K., Scheffler, D., Guillaso, S., Kokhanovsky, A., Roessner, S., Guanter, L., Kauffman, H., Pinnel, N., Carmona, E., Storch, T., Hank, T., Berger, K., Wocher, M., Hostert, P., van der Linden, S., Okujeni, A., Janz, A., Jakimow, B., Bracher, A., Soppa, M., Alvarado, L., Buddenbaum, H., Heim, B., Heiden, U., Moreno, J.M., Ong, C., Bohn, N., Green, R., Bachmann, M., Kokaly, R.F., Schodlok, M., Painter, T., Gascon, F., Buongiorno, F., Mottus, M., Brando, V., Feilhauer, H., Betz, M., Baur, S., Feckl, R., Schickling, A., Krieger, V., Bock, M., La Porta, L., and Fischer, S., 2024, The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch: Remote Sensing of Environment, v. 315, 114379, 21 p., https://doi.org/10.1016/j.rse.2024.114379.","productDescription":"114379, 21 p.","ipdsId":"IP-163728","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114379","text":"Publisher Index Page"},{"id":481742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"315","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chabrillat, Sabine 0000-0001-8600-5168","orcid":"https://orcid.org/0000-0001-8600-5168","contributorId":243560,"corporation":false,"usgs":false,"family":"Chabrillat","given":"Sabine","email":"","affiliations":[{"id":48729,"text":"Helmholtz-Zentrum Potsdam - Deutsches 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,{"id":70261407,"text":"70261407 - 2024 - Reduced injection rates and shallower depths mitigated induced seismicity in Oklahoma","interactions":[],"lastModifiedDate":"2024-12-09T15:16:44.012708","indexId":"70261407","displayToPublicDate":"2024-11-13T08:11:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Reduced injection rates and shallower depths mitigated induced seismicity in Oklahoma","docAbstract":"The proximity of wastewater disposal to the Precambrian basement is a critical factor influencing induced earthquake rates in the Central United States, but the impact of reducing injection depths has not been widely demonstrated. Beginning in 2015, state regulatory efforts in Oklahoma and Kansas mandated that wells injecting into the lower Arbuckle Group, a basal sedimentary unit, be backfilled with cement (i.e. “plugged back”) so that they inject into shallower formations. This plug back activity gives us a unique opportunity to investigate the relationship between injection depth and induced seismicity rate. To evaluate the impact that decreased injection rates and plug backs had on the seismicity rates, we create a suite of rate-state earthquake models. Observed seismicity rates are best fit when only lower Arbuckle volumes are considered, suggesting the lower Arbuckle injectors were primarily responsible for the seismicity and that plug backs were effective at isolating the injected volumes to shallower formations. Our models demonstrate that if these wells had not been plugged back, seismicity rates would be multiple times larger than they are today. We find that the combination of well plug backs and injection volume decreases can be effective strategies for reducing induced seismicity rates.","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0320240030","usgsCitation":"Skoumal, R.J., Barbour, A.J., Rubenstein, J.L., and Glasgow, M.E., 2024, Reduced injection rates and shallower depths mitigated induced seismicity in Oklahoma: The Seismic Record, v. 4, no. 4, p. 279-287, https://doi.org/10.1785/0320240030.","productDescription":"9 p.","startPage":"279","endPage":"287","ipdsId":"IP-169748","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":466770,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240030","text":"Publisher Index Page"},{"id":464919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":920493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubenstein, Justin L.","contributorId":296088,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Justin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":920494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":920495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260822,"text":"sir20245098 - 2024 - Water-quality comparisons in the Greater Mooses Tooth unit of the National Petroleum Reserve in Alaska, 2010 and 2023","interactions":[],"lastModifiedDate":"2025-12-22T21:27:01.378005","indexId":"sir20245098","displayToPublicDate":"2024-11-12T13:16:24","publicationYear":"2024","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":"2024-5098","displayTitle":"Water-Quality Comparisons in the Greater Mooses Tooth Unit of the National Petroleum Reserve in Alaska, 2010 and 2023","title":"Water-quality comparisons in the Greater Mooses Tooth unit of the National Petroleum Reserve in Alaska, 2010 and 2023","docAbstract":"<p>The United States has long held oil reserves in the National Petroleum Reserve in Alaska (NPR–A), but oil production did not begin until 2015. The waters of the NPR–A are generally considered “pristine,” but water quality has not been characterized temporally or spatially in a rigorous manner. In 2010 and 2023, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, collected water-quality samples from four small, beaded streams in the NPR–A, three of which currently (2024) have oil and gas infrastructure within their drainage. Samples collected preconstruction and postconstruction were analyzed and compared to determine concentration changes in nutrients, major ions, trace elements, and volatile organic compounds to evaluate the effectiveness of required operating procedures designed to minimize potential effects to water quality from oil and gas activities.</p><p>The four small streams in the Greater Mooses Tooth unit of the NPR–A had similar water-quality characteristics in the 2010 and 2023 samples. Most analytes were measured at low concentrations or below the reporting level for both samples. For analytes that were detected, variability between the two samples was generally low and mostly showed lower concentrations in the 2023 samples, possibly partially because of recent rainfall that led to streamflow being much higher at the time of the 2023 sample. Trichloromethane was present in the sample at one site in both years and at a second site in the 2023 sample. All three detections of trichloromethane were within the expected natural background range for the area. The few increases in analyte concentrations in the watersheds with oil and gas facilities were all within the range of predevelopment concentrations or background concentrations for the area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245098","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Hall, B.M., 2024, Water-quality comparisons in the Greater Mooses Tooth unit of the National Petroleum Reserve in Alaska, 2010 and 2023: U.S. Geological Survey Scientific Investigations Report 2024–5098, 11 p., https://doi.org/10.3133/sir20245098.","productDescription":"Report: vi, 11 p.; Dataset","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162398","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":497913,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117793.htm","linkFileType":{"id":5,"text":"html"}},{"id":463853,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245098/full"},{"id":463848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5098/coverthb.jpg"},{"id":463849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5098/sir20245098.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5098"},{"id":463850,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5098/sir20245098.XML"},{"id":463851,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5098/images/"},{"id":463852,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"}],"country":"United States","state":"Alaska","otherGeospatial":"Greater Mooses Tooth Unit of the National Petroleum Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -150.66,\n              70.5\n            ],\n            [\n              -152,\n              70.5\n            ],\n            [\n              -152,\n              70\n            ],\n            [\n              -150.66,\n              70\n            ],\n            [\n              -150.66,\n              70.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street<br>Lincoln, NE 68512</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Water-Quality Comparisons in the Greater Mooses Tooth Unit of the National Petroleum Reserve in Alaska</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-11-12","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918218,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262575,"text":"70262575 - 2024 - Before the fire: Predicting burn severity and potential post-fire debris-flow hazards to Colorado River Cutthroat Trout (Oncorhynchus clarkii pleuriticus) conservation populations","interactions":[],"lastModifiedDate":"2025-01-22T14:51:26.518694","indexId":"70262575","displayToPublicDate":"2024-11-12T10:34:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Before the fire: Predicting burn severity and potential post-fire debris-flow hazards to Colorado River Cutthroat Trout (<i>Oncorhynchus clarkii pleuriticus</i>) conservation populations","title":"Before the fire: Predicting burn severity and potential post-fire debris-flow hazards to Colorado River Cutthroat Trout (Oncorhynchus clarkii pleuriticus) conservation populations","docAbstract":"<p><strong>Background</strong></p><p>Colorado River Cutthroat Trout (CRCT;&nbsp;<i>Oncorhynchus clarkii pleuriticus</i>) conservation populations may be at risk from wildfire and post-fire debris flows hazards.</p><p><strong>Aim</strong></p><p>To predict burn severity and potential post-fire debris flow hazard classifications to CRCT conservation populations before wildfires occur.</p><p><strong>Methods</strong></p><p>We used remote sensing, spatial analyses, and machine learning to model 28 wildfire incidents (2016–2020) and spatially predict burn severity from pre-wildfire environmental factors to evaluate the likelihood (%) and volume (m<sup>3</sup>) hazard classification of post-fire debris flow.</p><p><strong>Key results</strong></p><p>Burn severity was best predicted by fuels, followed by topography, physical ecosystem conditions, and weather (mean adjusted&nbsp;<i>R</i><sup>2</sup>&nbsp;=&nbsp;0.54). Predictions of high or moderate burn severity covered 1.1 (15% of study area) and 1.5 (19% of study area) million ha, respectively, and varied by watershed. Combined high or moderate debris flow hazard classification included 80% of stream reaches with conservation populations and 97% of conservation population point nodes.</p><p><strong>Conclusions</strong></p><p>Predicted burn severity and potential post-fire debris flow indicated moderate to high hazard for CRCT conservation populations native to the Green and Yampa rivers of the Upper Colorado River Basin.</p><p><strong>Implications</strong></p><p>Future management actions can incorporate predicted burn severity and potential post-fire debris flow to mitigate impacts to CRCT and other at-risk resource values before a wildfire occurs.</p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF23199","usgsCitation":"Wells, A.G., Yackulic, C., Kostelnik, J., Bock, A.R., Zuellig, R.E., Carlisle, D.M., Roberts, J., Rogers, K., and Munson, S.M., 2024, Before the fire: Predicting burn severity and potential post-fire debris-flow hazards to Colorado River Cutthroat Trout (Oncorhynchus clarkii pleuriticus) conservation populations: International Journal of Wildland Fire, v. 33, WF23199, 19 p., https://doi.org/10.1071/WF23199.","productDescription":"WF23199, 19 p.","ipdsId":"IP-160628","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":481050,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf23199","text":"Publisher Index Page"},{"id":480839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              44.731125592643274\n            ],\n            [\n              -111.1376953125,\n              42.114523952464246\n            ],\n            [\n              -112.78564453124999,\n              41.902277040963696\n            ],\n            [\n              -112.6318359375,\n              38.03078569382294\n            ],\n            [\n              -111.9287109375,\n              36.756490329505176\n            ],\n            [\n              -110.1708984375,\n              35.8356283888737\n            ],\n            [\n              -106.63330078125,\n              35.55010533588552\n            ],\n            [\n              -106.787109375,\n              35.88905007936091\n            ],\n            [\n              -104.83154296875,\n              38.77121637244273\n            ],\n            [\n              -104.96337890625,\n              40.93011520598305\n            ],\n            [\n              -111.0498046875,\n              44.731125592643274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Adam Gerhard 0000-0001-9675-4963","orcid":"https://orcid.org/0000-0001-9675-4963","contributorId":270137,"corporation":false,"usgs":true,"family":"Wells","given":"Adam","email":"","middleInitial":"Gerhard","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kostelnik, Jaime 0000-0002-1817-5461","orcid":"https://orcid.org/0000-0002-1817-5461","contributorId":300717,"corporation":false,"usgs":true,"family":"Kostelnik","given":"Jaime","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":924580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":924583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rogers, Kevin B.","contributorId":220104,"corporation":false,"usgs":false,"family":"Rogers","given":"Kevin B.","affiliations":[],"preferred":false,"id":924585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":924586,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70260892,"text":"70260892 - 2024 - Triggering the 2022 eruption of Mauna Loa","interactions":[],"lastModifiedDate":"2024-11-14T15:40:19.077739","indexId":"70260892","displayToPublicDate":"2024-11-12T09:35:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Triggering the 2022 eruption of Mauna Loa","docAbstract":"<p><span>Distinguishing periods of intermittent unrest from the run-up to eruption is a major challenge at volcanoes around the globe. Comparing multidisciplinary monitoring data with mineral chemistry that records the physical and spatio-temporal evolution of magmas fundamentally advances our ability to forecast eruptions. The recent eruption of Mauna Loa, Earth’s largest active volcano, provides a unique opportunity to differentiate unrest from run-up and improve forecasting of future eruptions. After decades of intermittent seismic and geodetic activity over 38 years of repose, Mauna Loa began erupting on 27 November 2022. Here we present a multidisciplinary synthesis that tracks the spatio-temporal evolution of precursory activity by integrating mineral and melt chemistry, fluid inclusion barometry, numerical modeling of mineral zoning, syn-eruptive gas plume measurements, the distribution and frequency of earthquake hypocenters, seismic velocity changes, and ground deformation. These diverse data indicate that the eruption occurred following a 2-month period of sustained magma intrusion from depths of 3–5 km up to 1–2 km beneath the summit caldera, providing a new model of the plumbing system at this very high threat volcano. Careful correlation of both the geochemistry and instrumental monitoring data improves our ability to distinguish unrest from the run-up to eruption by providing deeper understanding of the both the monitoring data and the magmatic system—an approach that could be applied at other volcanic systems worldwide.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-52881-7","usgsCitation":"Lynn, K.J., Downs, D.T., Trusdell, F., Wieser, P.E., Rangel, B., McDade, B.R., Hotovec-Ellis, A.J., Bennington, N.L., Anderson, K.R., Ruth, D.C., DeVitre, C., Ellis, A.P., Nadeau, P.A., Clor, L., Kelly, P.J., Dotray, P., and Chang, J., 2024, Triggering the 2022 eruption of Mauna Loa: Nature Communications, v. 15, 9451, 12 p., https://doi.org/10.1038/s41467-024-52881-7.","productDescription":"9451, 12 p.","ipdsId":"IP-166194","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-52881-7","text":"Publisher Index Page"},{"id":464028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.4919259227092,\n              19.648439713476293\n            ],\n            [\n              -155.65947939539322,\n              19.648439713476293\n            ],\n            [\n              -155.65947939539322,\n              19.386411214929566\n            ],\n            [\n              -155.4919259227092,\n              19.386411214929566\n            ],\n            [\n              -155.4919259227092,\n              19.648439713476293\n            ]\n     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Berenise","contributorId":346222,"corporation":false,"usgs":false,"family":"Rangel","given":"Berenise","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":918454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDade, Baylee Rose 0009-0008-9142-3143","orcid":"https://orcid.org/0009-0008-9142-3143","contributorId":346224,"corporation":false,"usgs":true,"family":"McDade","given":"Baylee","email":"","middleInitial":"Rose","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science 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0000-0001-9369-9364","orcid":"https://orcid.org/0000-0001-9369-9364","contributorId":334908,"corporation":false,"usgs":true,"family":"Ruth","given":"Dawn","email":"","middleInitial":"Catherine Sweeney","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918459,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"DeVitre, Charlotte","contributorId":346229,"corporation":false,"usgs":false,"family":"DeVitre","given":"Charlotte","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":918460,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ellis, Andria P. 0000-0003-2543-0640","orcid":"https://orcid.org/0000-0003-2543-0640","contributorId":305983,"corporation":false,"usgs":true,"family":"Ellis","given":"Andria","email":"","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science 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pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918464,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Dotray, Peter 0000-0003-2984-455X","orcid":"https://orcid.org/0000-0003-2984-455X","contributorId":215611,"corporation":false,"usgs":true,"family":"Dotray","given":"Peter","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918465,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chang, Jefferson 0000-0002-1258-589X","orcid":"https://orcid.org/0000-0002-1258-589X","contributorId":215608,"corporation":false,"usgs":true,"family":"Chang","given":"Jefferson","email":"","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918466,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70261918,"text":"70261918 - 2024 - Vaccination of endangered wildlife as a conservation tool: Hindsights and new horizons in the pandemic era","interactions":[],"lastModifiedDate":"2025-01-03T15:07:23.686639","indexId":"70261918","displayToPublicDate":"2024-11-12T09:04:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Vaccination of endangered wildlife as a conservation tool: Hindsights and new horizons in the pandemic era","docAbstract":"<p><span>Vaccines are an established conservation tool that can reduce the threat of infectious disease in endangered wildlife populations. Vaccines exist for many infectious pathogens, and at a time of rapid technological advances in vaccinology, developing vaccines and vaccination programs for free-living endangered wildlife could help efforts to prevent extinctions from disease threats. Vaccination efforts could focus on protecting members of the target species or could be directed at reservoir populations to prevent pathogen spillover. Vaccination strategies need to be substantiated by research on safety and effectiveness, include risk and feasibility assessments, account for differences in host biology and disease epidemiology, and align with relevant regulatory frameworks. Engagement with stakeholders and the public is important to ensure the success of endangered species vaccination programs. Challenges such as funding, regulation, and societal acceptance are barriers to progress in vaccination programs for some species and geographic regions. We recommend the development of scientifically based international guidelines and a transdisciplinary forum with a specific emphasis on endangered wildlife vaccination. New technologies could be used collaboratively to prevent transmission of diseases for which vaccines are not currently available. Careful approaches and enhanced collaborations could help ensure the successful development of wildlife vaccination programs and promote resilience of endangered wildlife populations to increasing anthropogenic and environmental stressors on biodiversity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110842","usgsCitation":"Gulland, F., Barbieri, M., Cleaveland, S., Gilbert, M., Hall, A., and Rocke, T.E., 2024, Vaccination of endangered wildlife as a conservation tool: Hindsights and new horizons in the pandemic era: Biological Conservation, v. 300, 110842, 10 p., https://doi.org/10.1016/j.biocon.2024.110842.","productDescription":"110842, 10 p.","ipdsId":"IP-169951","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":498707,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/67179","text":"External Repository"},{"id":465630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"300","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gulland, Frances","contributorId":244392,"corporation":false,"usgs":false,"family":"Gulland","given":"Frances","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":922270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbieri, Michelle","contributorId":347708,"corporation":false,"usgs":false,"family":"Barbieri","given":"Michelle","affiliations":[{"id":83208,"text":"b Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Honolulu HI 96818, USA","active":true,"usgs":false}],"preferred":false,"id":922271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleaveland, Sarah","contributorId":124536,"corporation":false,"usgs":false,"family":"Cleaveland","given":"Sarah","email":"","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":922272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilbert, Martin","contributorId":225478,"corporation":false,"usgs":false,"family":"Gilbert","given":"Martin","affiliations":[{"id":41138,"text":"College of Veterinary Medicine, Cornel University, Ithaca, NY, USA","active":true,"usgs":false}],"preferred":false,"id":922273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Ailsa J.","contributorId":347709,"corporation":false,"usgs":false,"family":"Hall","given":"Ailsa J.","affiliations":[{"id":83209,"text":"School of Biology, University of St. Andrews, St Andrews, KY16 9ST, UK","active":true,"usgs":false}],"preferred":false,"id":922274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":922275,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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