{"pageNumber":"31","pageRowStart":"750","pageSize":"25","recordCount":10449,"records":[{"id":70244040,"text":"70244040 - 2023 - Using eDNA metabarcoding to establish targets for freshwater fish composition following river restoration","interactions":[],"lastModifiedDate":"2026-03-04T14:37:17.3679","indexId":"70244040","displayToPublicDate":"2023-05-06T07:19:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using eDNA metabarcoding to establish targets for freshwater fish composition following river restoration","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0040\">Establishing realistic targets for fish community composition is needed to assess the effectiveness of river restoration projects. We used environmental DNA (eDNA) metabarcoding with MiFish primers to obtain estimates of fish community composition across 17 sites upstream, downstream and within a restoration mitigation project area (Kaihotsu–Kasumi) located in the Shigenobu River system, Ehime Prefecture, Japan. We evaluate the benefits of using eDNA to quickly, sensitively, and extensively gather data to establish existing fish community composition in the restoration area, as well as potential future short-term, medium-term, and long-term targets of species assemblages that could realistically emerge following dispersal into the project area from upstream and downstream populations. We compare results from eDNA metabarcoding with species lists obtained from contemporaneous capture surveys and historical information. Nonmetric multidimensional scaling plots of community composition obtained from eDNA surveys showed that the Kaihotsu–Kasumi restoration area and surrounding river reaches were divided into three clusters: upper reaches, middle and lower reaches, and estuarine reaches. The Kaihotsu–Kasumi restoration area sites were included in the group containing the middle and lower reaches of the inflow and outflow rivers that were near the restoration area. We detected a total of twenty-six species in this group, twenty-one native species and five non-native species. Therefore, these native species were considered suitable as short-term target species with high potential for dispersal into Kaihotsu–Kasumi restoration area. By comparison, only 14 species would have been selected as target species based on capture surveys and historical literature. One factor increasing the resolution of our eDNA surveys was our ability to identify the presence of intraspecific lineages of<span>&nbsp;</span><span><i>Misgurnus anguillicaudatus</i></span><span>&nbsp;</span>(Clades A and B), which were missed by the capture surveys. These results indicate that the eDNA metabarcoding method can provide more comprehensive and realistic short-term target species estimates than capture surveys, as well as provide higher resolution monitoring through intraspecific lineage detection.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2023.e02448","usgsCitation":"Ito, G., Yamauchi, H., Shigeyoshi, M., Ashino, K., Yonashiro, C., Asami, M., Goto, Y., Duda, J.J., and Yamanaka, H., 2023, Using eDNA metabarcoding to establish targets for freshwater fish composition following river restoration: Global Ecology and Conservation, v. 43, e02448, 11 p., https://doi.org/10.1016/j.gecco.2023.e02448.","productDescription":"e02448, 11 p.","ipdsId":"IP-142636","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":417570,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":443630,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2023.e02448","text":"Publisher Index Page"}],"country":"Japan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              133.1933299665804,\n              33.82036556478603\n            ],\n            [\n              133.1933299665804,\n              32.71858999386964\n            ],\n            [\n              134.3354180754829,\n              32.71858999386964\n            ],\n            [\n              134.3354180754829,\n              33.82036556478603\n            ],\n            [\n              133.1933299665804,\n              33.82036556478603\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ito, Gen","contributorId":305976,"corporation":false,"usgs":false,"family":"Ito","given":"Gen","affiliations":[{"id":66333,"text":"Faculty of Advanced Science and Technology, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu, Shiga 520-2194, Japan","active":true,"usgs":false}],"preferred":false,"id":874221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamauchi, Hiroshi","contributorId":305977,"corporation":false,"usgs":false,"family":"Yamauchi","given":"Hiroshi","email":"","affiliations":[{"id":66335,"text":"Chuo Fukken Consultants, 4-11-10 Higashinakajima, Higashiyodogawa, Osaka, Osaka 533-0033, Japan","active":true,"usgs":false}],"preferred":false,"id":874222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shigeyoshi, Miwa","contributorId":305978,"corporation":false,"usgs":false,"family":"Shigeyoshi","given":"Miwa","email":"","affiliations":[{"id":66335,"text":"Chuo Fukken Consultants, 4-11-10 Higashinakajima, Higashiyodogawa, Osaka, Osaka 533-0033, Japan","active":true,"usgs":false}],"preferred":false,"id":874223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ashino, Kousuke","contributorId":305979,"corporation":false,"usgs":false,"family":"Ashino","given":"Kousuke","email":"","affiliations":[{"id":66335,"text":"Chuo Fukken Consultants, 4-11-10 Higashinakajima, Higashiyodogawa, Osaka, Osaka 533-0033, Japan","active":true,"usgs":false}],"preferred":false,"id":874224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yonashiro, Chie","contributorId":305980,"corporation":false,"usgs":false,"family":"Yonashiro","given":"Chie","email":"","affiliations":[{"id":66335,"text":"Chuo Fukken Consultants, 4-11-10 Higashinakajima, Higashiyodogawa, Osaka, Osaka 533-0033, Japan","active":true,"usgs":false}],"preferred":false,"id":874225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Asami, Maki","contributorId":305981,"corporation":false,"usgs":false,"family":"Asami","given":"Maki","email":"","affiliations":[{"id":66336,"text":"Center for Biodiversity Science, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu, Shiga 520-2194, Japan","active":true,"usgs":false}],"preferred":false,"id":874226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goto, Yuko","contributorId":305982,"corporation":false,"usgs":false,"family":"Goto","given":"Yuko","email":"","affiliations":[{"id":66336,"text":"Center for Biodiversity Science, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu, Shiga 520-2194, Japan","active":true,"usgs":false}],"preferred":false,"id":874227,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874228,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yamanaka, Hiroki","contributorId":268327,"corporation":false,"usgs":false,"family":"Yamanaka","given":"Hiroki","email":"","affiliations":[{"id":55627,"text":"Ryukoku University","active":true,"usgs":false}],"preferred":false,"id":874229,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243301,"text":"70243301 - 2023 - Aeromagnetic expression of the central Nagssugtoqidian Orogen, South-East Greenland","interactions":[],"lastModifiedDate":"2023-05-08T11:49:07.185166","indexId":"70243301","displayToPublicDate":"2023-05-06T06:45:47","publicationYear":"2023","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":"Aeromagnetic expression of the central Nagssugtoqidian Orogen, South-East Greenland","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\"><span>The Paleoproterozoic Nagssugtoqidian Orogen is one of the principal&nbsp;tectonic features&nbsp;related to the assembly of Nuna, extending across Greenland from east to west and forming an&nbsp;</span>orogenic belt<span>&nbsp;separating the North Atlantic&nbsp;Craton&nbsp;on the south from the Rae Craton on the north. In South-East Greenland, the Ammassalik Intrusive Complex (AIC) (∼1910 to 1870&nbsp;Ma) occupies the central part of the orogenic belt, was formed by subduction- and magmatic arc-related processes, and has significant potential for undiscovered deposits of critical minerals. Previous interpretations of&nbsp;aeromagnetic data&nbsp;have been hindered by terrain effects, and we use a novel mix of geophysical analysis tools to develop new tectonomagmatic interpretations of the central Nagssugtoqidian Orogen in South-East Greenland. These interpretations extend into areas covered by ocean and ice. Results show that Archean rocks of the juxtaposed North Atlantic (Isertoq Terrane) and Rae (Kuummiut Terrane) Cratons are relatively weakly magnetized (with the exception of rocks of the Schweizerland Terrane) and have a NW-striking structural fabric that likely formed or was enhanced during the Nagssugtoqidian&nbsp;Orogeny. The AIC is structurally complex, with weakly magnetized&nbsp;metasedimentary rocks, and both weakly and strongly magnetized intrusions, arrayed in a NW-striking tectonic fabric. The strongly magnetized intrusions are largely concealed and distributed in a broader and more spatially complex fashion than previously known, suggesting that additional areas may be considered for mineral exploration. Strongly magnetized NW-striking dikes are imaged within the AIC, where they are spatially closely related to the strongly magnetized intrusions, and extend southward into the North Atlantic Craton (Isertoq Terrane). This spatial pattern of arc&nbsp;magmatism&nbsp;is consistent with previously developed models of SW-directed subduction that preceded collision during the Nagssugtoqidian Orogeny. The strongly magnetized Ammassalik Batholith (∼1670&nbsp;Ma) and related intrusions form a cluster of&nbsp;plutons&nbsp;within&nbsp;∼&nbsp;50&nbsp;km of the Nagssugtoqidian suture. Their tectonomagmatic setting is unknown, although are speculatively related to&nbsp;delamination&nbsp;of a lithospheric keel formed during the Nagssugtoqidian Orogeny&nbsp;∼&nbsp;200&nbsp;m.y. prior. Numerous strongly magnetized NNE-striking&nbsp;Paleogene&nbsp;dikes, related to the opening of the Atlantic Ocean, are imaged cutting most other geologic units.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2023.107060","usgsCitation":"Drenth, B.J., Heincke, B.H., and Kokfelt, T.F., 2023, Aeromagnetic expression of the central Nagssugtoqidian Orogen, South-East Greenland: Precambrian Research, v. 391, 107060, 19 p., https://doi.org/10.1016/j.precamres.2023.107060.","productDescription":"107060, 19 p.","ipdsId":"IP-143285","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":416800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Denmark","otherGeospatial":"Greenland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -49.3564783825594,\n              62.06690886499001\n            ],\n            [\n              -49.3564783825594,\n              59.36135229753475\n            ],\n            [\n              -39.82444586945351,\n              59.36135229753475\n            ],\n            [\n              -39.82444586945351,\n              62.06690886499001\n            ],\n            [\n              -49.3564783825594,\n              62.06690886499001\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"391","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":871950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heincke, Bjorn H.","contributorId":304937,"corporation":false,"usgs":false,"family":"Heincke","given":"Bjorn","email":"","middleInitial":"H.","affiliations":[{"id":66191,"text":"GEUS","active":true,"usgs":false}],"preferred":false,"id":871951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kokfelt, Thomas F.","contributorId":304938,"corporation":false,"usgs":false,"family":"Kokfelt","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":66191,"text":"GEUS","active":true,"usgs":false}],"preferred":false,"id":871952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243947,"text":"70243947 - 2023 - Quantification of geodetic strain rate uncertainties and implications for seismic hazard estimates","interactions":[],"lastModifiedDate":"2023-05-26T12:06:50.289114","indexId":"70243947","displayToPublicDate":"2023-05-05T07:05:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of geodetic strain rate uncertainties and implications for seismic hazard estimates","docAbstract":"<p class=\"chapter-para\">Geodetic velocity data provide first-order constraints on crustal surface strain rates, which in turn are linked to seismic hazard. Estimating the 2-D surface strain tensor everywhere requires knowledge of the surface velocity field everywhere, while geodetic data such as Global Navigation Satellite System (GNSS) only have spatially scattered measurements on the surface of the Earth. To use these data to estimate strain rates, some type of interpolation is required. In this study, we review methodologies for strain rate estimation and compare a suite of methods, including a new implementation based on the geostatistical method of kriging, to compare variation between methods with uncertainty based on one method. We estimate the velocity field and calculate strain rates in southern California using a GNSS velocity field and five different interpolation methods to understand the sources of variability in inferred strain rates. Uncertainty related to data noise and station spacing (aleatoric uncertainty) is minimal where station spacing is dense and maximum far from observations. Differences between methods, related to epistemic uncertainty, are usually highest in areas of high strain rate due to differences in how gradients in the velocity field are handled by different interpolation methods. Parameter choices, unsurprisingly, have a strong influence on strain rate field, and we propose the traditional<span>&nbsp;</span><i>L</i>-curve approach as one method for quantifying the inherent trade-off between fit to the data and models that are reflective of tectonic strain rates. Doing so, we find total variability between five representative strain rate models to be roughly 40 per cent, a much lower value than roughly 100 per cent that was found in previous studies (Hearn<span>&nbsp;</span><i>et al</i>.). Using multiple methods to tune parameters and calculate strain rates provides a better understanding of the range of acceptable models for a given velocity field. Finally, we present an open-source Python package (Materna<span>&nbsp;</span><i>et al</i>.) for calculating strain rates, Strain_2D, which allows for the same data and model grid to be used in multiple strain rate methods, can be extended with other methods from the community, and provides an interface for comparing strain rate models, calculating statistics and estimating strain rate uncertainty for a given GNSS data set.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggad191","usgsCitation":"Maurer, J., and Materna, K.Z., 2023, Quantification of geodetic strain rate uncertainties and implications for seismic hazard estimates: Geophysical Journal International, v. 234, no. 3, p. 2128-2142, https://doi.org/10.1093/gji/ggad191.","productDescription":"15 p.","startPage":"2128","endPage":"2142","ipdsId":"IP-142818","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":443642,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggad191","text":"Publisher Index Page"},{"id":435346,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JJW0DY","text":"USGS data release","linkHelpText":"Strain_2D: a package to compute and compare strain rate maps from geodetic velocities"},{"id":417484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"234","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Maurer, Jeremy","contributorId":305786,"corporation":false,"usgs":false,"family":"Maurer","given":"Jeremy","email":"","affiliations":[{"id":37501,"text":"Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":873851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Materna, Kathryn Zerbe 0000-0002-6687-980X","orcid":"https://orcid.org/0000-0002-6687-980X","contributorId":261337,"corporation":false,"usgs":true,"family":"Materna","given":"Kathryn","email":"","middleInitial":"Zerbe","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":873852,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274496,"text":"70274496 - 2023 - The severity of the 2014–2015 snow drought in the Oregon Cascades in a multicentury context","interactions":[],"lastModifiedDate":"2026-03-27T16:14:49.320064","indexId":"70274496","displayToPublicDate":"2023-05-03T00:00:00","publicationYear":"2023","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":"The severity of the 2014–2015 snow drought in the Oregon Cascades in a multicentury context","docAbstract":"The western United States (US) is a hotspot for snow drought. The Oregon Cascade Range is highly sensitive to warming and as a result has experienced the largest mountain snowpack losses in the western US since the mid-20th century, including a record-breaking snow drought in 2014–2015 that culminated in a state of emergency. While Oregon Cascade snowpacks serve as the state's primary water supply, short instrumental records limit water managers' ability to fully constrain long-term natural snowpack variability prior to the influence of ongoing and projected anthropogenic climate change. Here, we use annually-resolved tree-ring records to develop the first multi-century reconstruction of Oregon Cascade April 1st Snow Water Equivalent (SWE). The model explains 58% of observed snowpack variability and extends back to 1688 AD, nearly quintupling the length of the existing snowpack record. Our reconstruction suggests that only one other multiyear event in the last three centuries was as severe as the 2014–2015 snow drought. The 2015 event alone was more severe than nearly any other year in over three centuries. Extreme low-to-high snowpack “whiplash” transitions are a consistent feature throughout the reconstructed record. Multi-decadal intervals of persistent below-the-mean peak SWE are prominent features of pre-instrumental snowpack variability, but are generally absent from the instrumental period and likely not fully accounted for in modern water management. In the face of projected snow drought intensification and warming, our findings motivate adaptive management strategies that address declining snowpack and increasingly variable precipitation regimes.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032875","usgsCitation":"Dye, L.A., Coulthard, B.L., Hatchett, B.J., Homfeld, I.K., Salazar, T.N., Littell, J.S., and Anchukaitis, K.J., 2023, The severity of the 2014–2015 snow drought in the Oregon Cascades in a multicentury context: Water Resources Research, v. 59, no. 5, e2022WR032875, 21 p., https://doi.org/10.1029/2022WR032875.","productDescription":"e2022WR032875, 21 p.","ipdsId":"IP-141457","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr032875","text":"Publisher Index Page"},{"id":501717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.04787497207607,\n              45.57580261829014\n            ],\n            [\n              -123.04787497207607,\n              42.01828925468891\n            ],\n            [\n              -120.72225223468077,\n              42.01828925468891\n            ],\n            [\n              -120.72225223468077,\n              45.57580261829014\n            ],\n            [\n              -123.04787497207607,\n              45.57580261829014\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Dye, Laura A.","contributorId":270199,"corporation":false,"usgs":false,"family":"Dye","given":"Laura","middleInitial":"A.","affiliations":[{"id":56105,"text":"University of Arizona, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":958006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulthard, Bethany L.","contributorId":270197,"corporation":false,"usgs":false,"family":"Coulthard","given":"Bethany","middleInitial":"L.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":958007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatchett, Benjamin J. 0000-0003-1066-3601","orcid":"https://orcid.org/0000-0003-1066-3601","contributorId":214405,"corporation":false,"usgs":false,"family":"Hatchett","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":39033,"text":"Division of Atmospheric Sciences, Desert Research Institute, Reno, Nevada, USA","active":true,"usgs":false}],"preferred":false,"id":958008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homfeld, Inga K.","contributorId":270198,"corporation":false,"usgs":false,"family":"Homfeld","given":"Inga","middleInitial":"K.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":958009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Salazar, Taylor N.","contributorId":368875,"corporation":false,"usgs":false,"family":"Salazar","given":"Taylor","middleInitial":"N.","affiliations":[{"id":87664,"text":"Portland State Univesity","active":true,"usgs":false}],"preferred":false,"id":958010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":958011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anchukaitis, Kevin J.","contributorId":270200,"corporation":false,"usgs":false,"family":"Anchukaitis","given":"Kevin","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":958012,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70246710,"text":"70246710 - 2023 - Discovery of a rare pillar coral (Dendrogyra cylindrus) death assemblage off southeast Florida reveals multi-century persistence during the late Holocene","interactions":[],"lastModifiedDate":"2023-07-26T14:51:39.124739","indexId":"70246710","displayToPublicDate":"2023-05-02T07:16:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of a rare pillar coral (Dendrogyra cylindrus) death assemblage off southeast Florida reveals multi-century persistence during the late Holocene","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In recent years, coral populations in the western Atlantic have undergone widespread declines from climate change, anthropogenic stressors, and infectious disease outbreaks. The pillar coral,<span>&nbsp;</span><i>Dendrogyra cylindrus</i>, has been one of the most affected species, prompting its listing as threatened under the United States Endangered Species Act in 2014 and critically endangered under the IUCN Red List in 2022. However, due to its natural rarity, it is particularly difficult to study using conventional long-term monitoring studies or less common paleontological investigations. Here, we document for the first time, the multi-century persistence of<span>&nbsp;</span><i>D. cylindrus</i><span>&nbsp;</span>on high-latitude nearshore reefs off southeast Florida during the late Holocene. Using high-precision uranium–thorium (U-Th) dating, we constrain the ages of well-preserved subfossil<span>&nbsp;</span><i>D. cylindrus</i><span>&nbsp;</span>colonies recovered from newly described coral death assemblages. We also describe specific morphological characteristics and taphonomic indicators reflecting their unique depositional environment. Our findings demonstrate long-term persistence of<span>&nbsp;</span><i>D. cylindrus</i><span>&nbsp;</span>in southeast Florida, despite geographical isolation and historical rarity in the region.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00338-023-02387-3","usgsCitation":"Modys, A.B., Toth, L., Mortlock, R.A., Olenik, A.E., and Precht, W.F., 2023, Discovery of a rare pillar coral (Dendrogyra cylindrus) death assemblage off southeast Florida reveals multi-century persistence during the late Holocene: Coral Reefs, v. 42, p. 801-807, https://doi.org/10.1007/s00338-023-02387-3.","productDescription":"7 p.","startPage":"801","endPage":"807","ipdsId":"IP-146906","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":435352,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VTNG2N","text":"USGS data release","linkHelpText":"Uranium-Thorium Ages for Late Holocene Corals from the Southeast Florida Nearshore Ridge Complex"},{"id":418998,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Modys, Alexander B.","contributorId":260615,"corporation":false,"usgs":false,"family":"Modys","given":"Alexander","email":"","middleInitial":"B.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":878054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortlock, Richard A.","contributorId":299718,"corporation":false,"usgs":false,"family":"Mortlock","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":878056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olenik, Anton E.","contributorId":260617,"corporation":false,"usgs":false,"family":"Olenik","given":"Anton","email":"","middleInitial":"E.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":878057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Precht, William F. 0000-0002-6546-985X","orcid":"https://orcid.org/0000-0002-6546-985X","contributorId":260614,"corporation":false,"usgs":false,"family":"Precht","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":52621,"text":"Dial Cordy & Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":878058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243352,"text":"70243352 - 2023 - Techniques for restoring damaged Mojave and western Sonoran ecosystems, including those for threatened desert tortoises and Joshua trees","interactions":[],"lastModifiedDate":"2023-08-01T15:46:23.790221","indexId":"70243352","displayToPublicDate":"2023-05-01T10:34:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1380,"text":"Desert Plants","active":true,"publicationSubtype":{"id":10}},"title":"Techniques for restoring damaged Mojave and western Sonoran ecosystems, including those for threatened desert tortoises and Joshua trees","docAbstract":"<p>Ecological restoration has potential for contributing to conservation activities for threatened Mojave desert tortoises (<i>Gopherus agassizii</i>) and Joshua trees (<i>Yucca brevifolia</i>,<i> Y. jaegeriana</i>) and their broader ecosystems in the Mojave and western Sonoran deserts. To be effective, restoration actions deployed strategically need to halt and reverse habitat degradation, replenish or enhance resources used by both species (e.g., large shrubs for protection of tortoises and nurse plants facilitating recruitment of Joshua tree seedlings), and ideally foster resilience during likely future environmental changes. We synthesized restoration techniques and their effectiveness in the Mojave and western Sonoran deserts, provide estimated costs of candidate techniques, and anticipate future research needs for effective restoration in changing climates and environments. Over 50 published studies in the Mojave and western Sonoran deserts demonstrate that restoration can improve soil features (e.g., biocrusts), increase cover of native perennial and annual plants, enhance native seed retention and seed banks, and reduce risk of fires to conserve mature shrubland habitat. We placed restoration techniques into three categories: restoration of site environments, revegetation, and management actions to limit further disturbance and encourage recovery. Within these categories, 11 major restoration techniques (and their variations) were evaluated by at least one published study and range from geomorphic (e.g., reestablishing natural topographic patterns) and abiotic structural treatments (e.g., vertical mulching) to active revegetation (e.g., outplanting, seeding). For example, 16 outplanting studies assessed performance of 46 species to begin identifying top-performing species, associated treatments (e.g., protection from herbivory) required to aid outplant survival, and potential for outplants to trigger formation of self-sustaining populations. Creosote bush (Larrea tridentata), a shrub that tortoises use for cover and that serves as a nurse plant for Joshua tree recruitment, achieved at least 50% survival in five of eight studies. Estimated costs for restoring desert habitats varied primarily with the severity of the disturbance, site factors including the diversity of vegetation that was lost, logistical factors such as accessibility of sites (influencing transportation costs), and the cost-effectiveness of the restoration techniques chosen. The review highlights six major research and adaptive management needs for advancing desert habitat restoration. These needs include: 1) continued development of innovative techniques and bet-hedging approaches to provide managers with “tool boxes” of candidate treatments to deploy in dynamic environmental and management conditions, 2) identifying how to optimize spatial deployment of limited restoration resources, 3) developing practical techniques for reducing non-native annual grasses across spatial scales, 4) improving linkages between habitat enhancements and short- and long-term indicators of tortoise usage and responses and Joshua tree population sustainability, 5) mitigating multiple, interacting stressors with cumulative impacts, and 6) integrating biotic (e.g., seeding) and abiotic (e.g., fencing, shade structures) treatments to complement each other at site and landscape scales in dynamic climates and environments. It is possible that bet-hedging approaches employing multiple treatment types (or phased treatments across years) and greater incorporation of abiotic treatments, which are less sensitive to timing of precipitation compared with biotic treatments, will become increasingly important under future climates projected to be drier and more variable. Existing research suggests that restoration can be deployed effectively even under adverse climatic conditions, but success requires identifying suitable techniques tailored to dynamic environments.</p>","language":"English","publisher":"Boyce Thompson Arboretum","usgsCitation":"Abella, S.R., Berry, K.H., and Ferrazzano, S., 2023, Techniques for restoring damaged Mojave and western Sonoran ecosystems, including those for threatened desert tortoises and Joshua trees: Desert Plants, v. 38, no. 2, p. 4-52.","productDescription":"49 p.","startPage":"4","endPage":"52","ipdsId":"IP-147104","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":419476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416886,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://btarboretum.org/desert-plants-journal/"}],"country":"Mexico, United States","state":"Arizona, California, Nevada, Sonora","otherGeospatial":"Mohave Desert, Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.40792003344728,\n              36.4817349450944\n            ],\n            [\n              -116.40792003344728,\n              31.379037948953112\n            ],\n            [\n              -110.3423561059686,\n              31.379037948953112\n            ],\n            [\n              -110.3423561059686,\n              36.4817349450944\n            ],\n            [\n              -116.40792003344728,\n              36.4817349450944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abella, Scott R","contributorId":266177,"corporation":false,"usgs":false,"family":"Abella","given":"Scott","email":"","middleInitial":"R","affiliations":[{"id":54937,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004","active":true,"usgs":false}],"preferred":false,"id":872136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrazzano, Stefanie","contributorId":304977,"corporation":false,"usgs":false,"family":"Ferrazzano","given":"Stefanie","email":"","affiliations":[{"id":66198,"text":"Clark County Department of Environment and Sustainability, Desert Conservation Program","active":true,"usgs":false}],"preferred":false,"id":872138,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262374,"text":"70262374 - 2023 - Remote characterization of the 12 January 2020 eruption of Taal Volcano, Philippines, using seismo-acoustic, volcanic lightning, and satellite observations","interactions":[],"lastModifiedDate":"2025-01-16T16:53:12.932796","indexId":"70262374","displayToPublicDate":"2023-04-28T10:47:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Remote characterization of the 12 January 2020 eruption of Taal Volcano, Philippines, using seismo-acoustic, volcanic lightning, and satellite observations","docAbstract":"<p><span>On 12 January 2020, an eruption began on the shores of the Main Crater Lake (MCL) of Taal Volcano—a caldera system on the southern end of Luzon Island in the Philippines. Taal, one of the most active volcanoes in the Philippines, is located 30&nbsp;km south of Manila—a major metropolitan area with a population of 13.5 million people. Eruptive activity intensified throughout the day on 12 January, producing prolific volcanic lightning, ashfall, and a sustained plume that reached 16–17&nbsp;km altitude. The chronology of events was well documented by the Philippine Institute of Volcanology and Seismology and the Tokyo Volcanic Ash Advisory Center. The wealth of data collected during the eruption provides a unique opportunity to investigate how the combination of different remote sensing methods may complement local observations and monitoring. Remote systems tend to provide lower resolution data but are also less likely to be compromised by the eruptive activity, thus providing continuous records of eruptive processes. Here, we present a postevent analysis of the 12 January activity, including data from long‐range lightning, infrasound, and seismic arrays located at distances up to several thousands of kilometers from the volcano. By combining these datasets, we distinguish five phases of activity and infer a major shift in eruption behavior around 12:00 on 12 January (UTC). The remote observations suggest that the most of the water within the MCL (</span><span class=\"inline-formula no-formula-id\">⁠∼42  million m<sup>3⁠</sup></span><span>) was vaporized and incorporated into the volcanic plume within the first 12&nbsp;hr of the eruption.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120220223","usgsCitation":"Perttu, A., Assink, J.D., Van Eaton, A.R., Caudron, C., Vagasky, C., Krippner, J., McKee, K., De Angelis, S., Perttu, B., Taisne, B., and Lube, G., 2023, Remote characterization of the 12 January 2020 eruption of Taal Volcano, Philippines, using seismo-acoustic, volcanic lightning, and satellite observations: Bulletin of the Seismological Society of America, v. 113, no. 4, p. 1471-1492, https://doi.org/10.1785/0120220223.","productDescription":"22 p.","startPage":"1471","endPage":"1492","ipdsId":"IP-146744","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467113,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/365748","text":"External Repository"},{"id":466642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Philippines","otherGeospatial":"Taal Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              121.2,\n              13.8755\n            ],\n            [\n              121.2,\n              14.15\n            ],\n            [\n              120.9,\n              14.15\n            ],\n            [\n              120.9,\n              13.8755\n            ],\n            [\n              121.2,\n              13.8755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Perttu, Anna 0000-0003-3590-1549","orcid":"https://orcid.org/0000-0003-3590-1549","contributorId":265984,"corporation":false,"usgs":false,"family":"Perttu","given":"Anna","email":"","affiliations":[{"id":48937,"text":"Earth Observatory of Singapore, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":923965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assink, Jelle D.","contributorId":236650,"corporation":false,"usgs":false,"family":"Assink","given":"Jelle","email":"","middleInitial":"D.","affiliations":[{"id":47493,"text":"R and D Seismology and Acoustics, Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":923966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":923967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caudron, Corentin 0000-0002-3748-0007","orcid":"https://orcid.org/0000-0002-3748-0007","contributorId":224799,"corporation":false,"usgs":false,"family":"Caudron","given":"Corentin","email":"","affiliations":[{"id":40942,"text":"Université Grenoble Alpes, Université Savoie, ISTerre, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":923968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vagasky, Chris","contributorId":311231,"corporation":false,"usgs":false,"family":"Vagasky","given":"Chris","email":"","affiliations":[{"id":67366,"text":"Vaisala Inc., Louisville, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":923969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krippner, Janine","contributorId":349058,"corporation":false,"usgs":false,"family":"Krippner","given":"Janine","affiliations":[{"id":35780,"text":"University of Waikato, New Zealand","active":true,"usgs":false}],"preferred":false,"id":923970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKee, Kathleen 0000-0003-3189-9189","orcid":"https://orcid.org/0000-0003-3189-9189","contributorId":265977,"corporation":false,"usgs":false,"family":"McKee","given":"Kathleen","email":"","affiliations":[{"id":54848,"text":"Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":923971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"De Angelis, Silvio","contributorId":172953,"corporation":false,"usgs":false,"family":"De Angelis","given":"Silvio","affiliations":[{"id":27128,"text":"Univ. of Liverpool","active":true,"usgs":false}],"preferred":false,"id":923972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perttu, Brian","contributorId":349059,"corporation":false,"usgs":false,"family":"Perttu","given":"Brian","affiliations":[{"id":83419,"text":"Volcanic Risk Solutions, Massey University, New Zealand","active":true,"usgs":false}],"preferred":false,"id":923973,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taisne, Benoit","contributorId":255664,"corporation":false,"usgs":false,"family":"Taisne","given":"Benoit","email":"","affiliations":[{"id":51637,"text":"EOS","active":true,"usgs":false}],"preferred":false,"id":923974,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lube, Gert","contributorId":349061,"corporation":false,"usgs":false,"family":"Lube","given":"Gert","affiliations":[{"id":83419,"text":"Volcanic Risk Solutions, Massey University, New Zealand","active":true,"usgs":false}],"preferred":false,"id":923975,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70243957,"text":"70243957 - 2023 - Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States","interactions":[],"lastModifiedDate":"2023-05-26T11:56:26.603617","indexId":"70243957","displayToPublicDate":"2023-04-28T06:53:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e169\">Because use of high-resolution hydrologic models is becoming more widespread and estimates are made over large domains, there is a pressing need for systematic evaluation of their performance. Most evaluation efforts to date have focused on smaller basins that have been relatively undisturbed by human activity, but there is also a need to benchmark model performance more comprehensively, including basins impacted by human activities. This study benchmarks the long-term performance of two process-oriented, high-resolution, continental-scale hydrologic models that have been developed to assess water availability and risks in the United States (US): the National Water Model v2.1 application of WRF-Hydro (NWMv2.1) and the National Hydrologic Model v1.0 application of the Precipitation–Runoff Modeling System (NHMv1.0). The evaluation is performed on 5390 streamflow gages from 1983 to 2016 (<span class=\"inline-formula\">∼</span> 33&nbsp;years) at a daily time step, including both natural and human-impacted catchments, representing one of the most comprehensive evaluations over the contiguous US. Using the Kling–Gupta efficiency as the main evaluation metric, the models are compared against a climatological benchmark that accounts for seasonality. Overall, the model applications show similar performance, with better performance in minimally disturbed basins than in those impacted by human activities. Relative regional differences are also similar: the best performance is found in the Northeast, followed by the Southeast, and generally worse performance is found in the Central and West areas. For both models, about 80 % of the sites exceed the seasonal climatological benchmark. Basins that do not exceed the climatological benchmark are further scrutinized to provide model diagnostics for each application. Using the underperforming subset, both models tend to overestimate streamflow volumes in the West, which could be attributed to not accounting for human activities, such as active management. Both models underestimate flow variability, especially the highest flows; this was more pronounced for NHMv1.0. Low flows tended to be overestimated by NWMv2.1, whereas there were both over and underestimations for NHMv1.0, but they were less severe. Although this study focused on model diagnostics for underperforming sites based on the seasonal climatological benchmark, metrics for all sites for both model applications are openly available online.</p></div></div>","language":"English","publisher":"Copernicus","doi":"10.5194/hess-27-1809-2023","usgsCitation":"Towler, E., Foks, S., Dugger, A.L., Dickinson, J.E., Essaid, H.I., Gochis, D., Viger, R.J., and Zhang, Y., 2023, Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States: Hydrology and Earth System Sciences, v. 27, no. 9, p. 1809-1825, https://doi.org/10.5194/hess-27-1809-2023.","productDescription":"17 p.","startPage":"1809","endPage":"1825","ipdsId":"IP-141543","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":443687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-27-1809-2023","text":"Publisher Index Page"},{"id":417479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"27","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Towler, Erin 0000-0002-1784-1346","orcid":"https://orcid.org/0000-0002-1784-1346","contributorId":292891,"corporation":false,"usgs":false,"family":"Towler","given":"Erin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":205290,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":873917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Aubrey L 0000-0001-8250-4218","orcid":"https://orcid.org/0000-0001-8250-4218","contributorId":292892,"corporation":false,"usgs":false,"family":"Dugger","given":"Aubrey","email":"","middleInitial":"L","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":873920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gochis, David","contributorId":152455,"corporation":false,"usgs":false,"family":"Gochis","given":"David","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":873922,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Yongxin 0000-0001-6321-1276","orcid":"https://orcid.org/0000-0001-6321-1276","contributorId":292894,"corporation":false,"usgs":false,"family":"Zhang","given":"Yongxin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873923,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243181,"text":"70243181 - 2023 - The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America","interactions":[],"lastModifiedDate":"2023-05-03T11:46:44.075926","indexId":"70243181","displayToPublicDate":"2023-04-28T06:45:20","publicationYear":"2023","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":"The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0040\"><span>Highly pathogenic avian influenza virus (HPAIV) H5N1 was introduced in North America in late 2021 through trans-Atlantic pathways via migratory birds. These introductions have resulted in an unprecedented&nbsp;epizootic, a widespread disease event in animals, heavily affecting poultry, wild birds, and recently mammals. The North American incursions occurred during the largest epidemic season (2021–2022) in Europe where H5N1 may now be endemic (i.e., continuously present). The continuing outbreak includes expansion into Mexico, Central and South America beginning in late 2022. Here, we provide an overview of the Eurasian origin H5N1 introduction to the Americas, including a significant shift in virus dynamics and severe disease in wild birds. Then, to investigate the global changes in confirmed detections in wild birds and poultry across time and geographic regions, we analyzed FAO's EMPRES-i&nbsp;+&nbsp;database. To examine the 2021 introduction and spread in North American wild birds and poultry, we collated publicly available data across&nbsp;USA&nbsp;and Canadian federal sources. Based on our assessment, the unique magnitude of the North American H5N1 spread indicates the need for effective decision framing to prioritize management needs and scientific inquiry, particularly for species at risk and interface areas for wildlife, poultry, and humans. We illustrate the rapidly occurring and likely increasing detrimental effects that this One Health issue has on wildlife, agriculture, and potentially human health, and we offer a reframing of&nbsp;</span>HPAIV<span>&nbsp;</span>disease response towards a decision analytical context to guide scientific prioritization as a potentially valuable change in focus.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2023.110041","usgsCitation":"Harvey, J., Mullinax, J.M., Runge, M.C., and Prosser, D., 2023, The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America: Biological Conservation, v. 282, 110041, 11 p., https://doi.org/10.1016/j.biocon.2023.110041.","productDescription":"110041, 11 p.","ipdsId":"IP-145359","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2023.110041","text":"Publisher Index Page"},{"id":416650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Johanna","contributorId":304699,"corporation":false,"usgs":false,"family":"Harvey","given":"Johanna","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":871396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":871397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871399,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243337,"text":"70243337 - 2023 - Nitrogen-bedrock interactions regulate multi-element nutrient limitation and sustainability in forests","interactions":[],"lastModifiedDate":"2023-07-11T16:00:18.992243","indexId":"70243337","displayToPublicDate":"2023-04-28T06:40:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen-bedrock interactions regulate multi-element nutrient limitation and sustainability in forests","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Nutrient limitation of tree growth can intensify when nutrients are lost to forest harvest, creating challenges for forest growth and sustainability. Forest harvest accelerates nutrient loss by removing nutrient-containing biomass and by increasing nutrient leaching, shaping patterns of nutrient depletion that cause long-term shifts in nutrient limitation. Nitrogen most frequently limits tree growth, but where nitrogen is abundant, nutrient limitation often shifts to phosphorus and base cations, depending on soil mineralogy. We used the process-based biogeochemical model NutsFor to evaluate how multiple elements can limit long-term forest growth via interactions between soil nitrogen (low vs. high nitrogen) and soil mineralogy (sedimentary vs. basaltic bedrock). Simulations were run for 525 years with 40-year harvest intervals for managed Douglas-fir forests of the Oregon Coast Range. In low nitrogen sites, nutrient limitation switched after several centuries from nitrogen to phosphorus, as cycles of forest growth and harvest depleted soil organic phosphorus pools. In contrast, high nitrogen sites displayed severe base cation depletion and reduced tree growth within only one to two rotations, with sedimentary bedrock sites limited by calcium and basaltic sites by both calcium and potassium. Harvesting stimulated the largest fractional losses of nitrogen and potassium across all simulations, and additionally of calcium in high nitrogen sites. These multi-element simulations of interactions among harvesting, soil nitrogen, and bedrock type provide a set of testable predictions to guide monitoring and changes in management aimed at sustaining long-term forest productivity across a wide range of soil biogeochemical conditions.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10533-023-01039-6","usgsCitation":"Siah, K.G., Perakis, S.S., Pett-Ridge, J.C., and van der Heijden, G., 2023, Nitrogen-bedrock interactions regulate multi-element nutrient limitation and sustainability in forests: Biogeochemistry, v. 164, p. 389-413, https://doi.org/10.1007/s10533-023-01039-6.","productDescription":"25 p.","startPage":"389","endPage":"413","ipdsId":"IP-147344","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":416848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"164","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Siah, Kaveh G.","contributorId":304967,"corporation":false,"usgs":false,"family":"Siah","given":"Kaveh","email":"","middleInitial":"G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":872086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":872087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pett-Ridge, Julie C.","contributorId":172441,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":872088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Heijden, Gregory","contributorId":304968,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Gregory","email":"","affiliations":[{"id":66197,"text":"INRA","active":true,"usgs":false}],"preferred":false,"id":872089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256481,"text":"70256481 - 2023 - Ancient bears provide insights into Pleistocene ice age refugia in Southeast Alaska","interactions":[],"lastModifiedDate":"2024-08-07T14:43:35.796534","indexId":"70256481","displayToPublicDate":"2023-04-25T09:35:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ancient bears provide insights into Pleistocene ice age refugia in Southeast Alaska","docAbstract":"<p><span>During the Late Pleistocene, major parts of North America were periodically covered by ice sheets. However, there are still questions about whether ice-free refugia were present in the Alexander Archipelago along the Southeast (SE) Alaska coast during the last glacial maximum (LGM). Numerous subfossils have been recovered from caves in SE Alaska, including American black (</span><i>Ursus americanus</i><span>) and brown (</span><i>U. arctos</i><span>) bears, which today are found in the Alexander Archipelago but are genetically distinct from mainland bear populations. Hence, these bear species offer an ideal system to investigate long-term occupation, potential refugial survival and lineage turnover. Here, we present genetic analyses based on 99 new complete mitochondrial genomes from ancient and modern brown and black bears spanning the last ~45,000 years. Black bears form two SE Alaskan subclades, one preglacial and another postglacial, that diverged &gt;100,000 years ago. All postglacial ancient brown bears are closely related to modern brown bears in the archipelago, while a single preglacial brown bear is found in a distantly related clade. A hiatus in the bear subfossil record around the LGM and the deep split of their pre- and postglacial subclades fail to support a hypothesis of continuous occupancy in SE Alaska throughout the LGM for either species. Our results are consistent with an absence of refugia along the SE Alaska coast, but indicate that vegetation quickly expanded after deglaciation, allowing bears to recolonize the area after a short-lived LGM peak.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.16960","usgsCitation":"da Silva Coelho, F.A., Gill, S., Tomlin, C.M., Papavassiliou, M., Farley, S.D., Cook, J., Sonsthagen, S.A., Sage, G.K., Heaton, T.H., Talbot, S., and Lindqvist, C., 2023, Ancient bears provide insights into Pleistocene ice age refugia in Southeast Alaska: Molecular Ecology, v. 32, no. 13, p. 3641-3656, https://doi.org/10.1111/mec.16960.","productDescription":"16 p.","startPage":"3641","endPage":"3656","ipdsId":"IP-147539","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.16960","text":"Publisher Index Page"},{"id":432338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -133.54442279405686,\n              54.34658810457864\n            ],\n            [\n              -130.68951983788753,\n              54.54526333207045\n            ],\n            [\n              -130.14481684011088,\n              56.044252529548004\n            ],\n            [\n              -132.2953979712057,\n              57.1016826102489\n            ],\n            [\n              -135.45938416329437,\n              59.77166224533508\n            ],\n            [\n              -137.82552158329688,\n              58.768051439466774\n            ],\n            [\n              -135.60272578359988,\n              56.699950197377916\n            ],\n            [\n              -133.80560547048617,\n              55.19364352617387\n            ],\n            [\n              -133.54442279405686,\n              54.34658810457864\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"13","noUsgsAuthors":false,"publicationDate":"2023-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"da Silva Coelho, Flavio Augusto","contributorId":340793,"corporation":false,"usgs":false,"family":"da Silva Coelho","given":"Flavio","email":"","middleInitial":"Augusto","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, Stephanie","contributorId":340795,"corporation":false,"usgs":false,"family":"Gill","given":"Stephanie","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomlin, Crystal M.","contributorId":340797,"corporation":false,"usgs":false,"family":"Tomlin","given":"Crystal","email":"","middleInitial":"M.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Papavassiliou, Marilena","contributorId":340799,"corporation":false,"usgs":false,"family":"Papavassiliou","given":"Marilena","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farley, Sean D.","contributorId":340801,"corporation":false,"usgs":false,"family":"Farley","given":"Sean","email":"","middleInitial":"D.","affiliations":[{"id":81667,"text":"Alaska Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":907567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Joseph A.","contributorId":340802,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph A.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":907568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":907569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sage, George K.","contributorId":340803,"corporation":false,"usgs":false,"family":"Sage","given":"George","email":"","middleInitial":"K.","affiliations":[{"id":63248,"text":"Far Northwestern Institute of Art and Science","active":true,"usgs":false}],"preferred":false,"id":907570,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heaton, Timothy H.","contributorId":340804,"corporation":false,"usgs":false,"family":"Heaton","given":"Timothy","email":"","middleInitial":"H.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":907571,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Talbot, Sandra L.","contributorId":340805,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra L.","affiliations":[{"id":63248,"text":"Far Northwestern Institute of Art and Science","active":true,"usgs":false}],"preferred":false,"id":907572,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lindqvist, Charlotte","contributorId":340806,"corporation":false,"usgs":false,"family":"Lindqvist","given":"Charlotte","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":907573,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70243206,"text":"70243206 - 2023 - Multiple models for outbreak decision support in the face of uncertainty","interactions":[],"lastModifiedDate":"2023-05-04T14:46:01.464127","indexId":"70243206","displayToPublicDate":"2023-04-25T06:46:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Multiple models for outbreak decision support in the face of uncertainty","docAbstract":"<p><span>Policymakers must make management decisions despite incomplete knowledge and conflicting model projections. Little guidance exists for the rapid, representative, and unbiased collection of policy-relevant scientific input from independent modeling teams. Integrating approaches from decision analysis, expert judgment, and model aggregation, we convened multiple modeling teams to evaluate COVID-19 reopening strategies for a mid-sized United States county early in the pandemic. Projections from seventeen distinct models were inconsistent in magnitude but highly consistent in ranking interventions. The 6-mo-ahead aggregate projections were well in line with observed outbreaks in mid-sized US counties. The aggregate results showed that up to half the population could be infected with full workplace reopening, while workplace restrictions reduced median cumulative infections by 82%. Rankings of interventions were consistent across public health objectives, but there was a strong trade-off between public health outcomes and duration of workplace closures, and no win-win intermediate reopening strategies were identified. Between-model variation was high; the aggregate results thus provide valuable risk quantification for decision making. This approach can be applied to the evaluation of management interventions in any setting where models are used to inform decision making. This case study demonstrated the utility of our approach and was one of several multimodel efforts that laid the groundwork for the COVID-19 Scenario Modeling Hub, which has provided multiple rounds of real-time scenario projections for situational awareness and decision making to the Centers for Disease Control and Prevention since December 2020.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2207537120","usgsCitation":"Shea, K., Borchering, R.K., Probert, W., Howerton, E., Bogich, T.L., Li, S., van Panhuis, W., Viboud, C., Aguas, R., Belov, A.A., Bhargava, S.H., Cavany, S.M., Chang, J.C., Chen, C., Chen, J., Chen, S., Chen, Y., Childs, L.M., Chow, C.C., Crooker, I., Del Valle, S.Y., Espana, G., Fairchild, G., Gerkin, R.C., Germann, T.C., Gu, Q., Guan, X., Guo, L., Hart, G.R., Hladish, T.J., Hupert, N., Janies, D., Kerr, C.C., Klein, D.J., Klein, E.Y., Lin, G., Manore, C., Meyers, L.A., Mittler, J.E., Mu, K., Nunez, R.C., Oidtman, R.J., Pasco, R., Pastore y Piontti, A., Paul, R., Pearson, C.A., Perdomo, D.R., Perkins, T.A., Pierce, K., Pillai, A.N., Rael, R.C., Rosenfeld, K., Ross, C.W., Spencer, J.A., Stoltzfus, A.B., Toh, K.B., Vattikuti, S., Vespignani, A., Wang, L., White, L.J., Pan, X., Yang, Y., Yogurtcu, O.N., Zhang, W., Zhao, Y., Zou, D., Ferrari, M., Pannell, D., Tildesley, M., Seiferth, J., Johnson, E., Biggerstaff, M., Johansson, M.A., Slayton, R.B., Levander, J., Stazer, J., Kerr, J., and Runge, M.C., 2023, Multiple models for outbreak decision support in the face of uncertainty: PNAS, v. 120, no. 18, e2207537120, 9 p., https://doi.org/10.1073/pnas.2207537120.","productDescription":"e2207537120, 9 p.","ipdsId":"IP-123397","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2207537120","text":"Publisher Index Page"},{"id":416715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"18","noUsgsAuthors":false,"publicationDate":"2023-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":871471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchering, Rebecca K. 0000-0003-4309-2913","orcid":"https://orcid.org/0000-0003-4309-2913","contributorId":258031,"corporation":false,"usgs":false,"family":"Borchering","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":871472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Probert, William J.M.","contributorId":268234,"corporation":false,"usgs":false,"family":"Probert","given":"William J.M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":871473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howerton, Emily 0000-0002-0639-3728","orcid":"https://orcid.org/0000-0002-0639-3728","contributorId":258035,"corporation":false,"usgs":false,"family":"Howerton","given":"Emily","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":871529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bogich, Tiffany L. 0000-0002-8143-5289","orcid":"https://orcid.org/0000-0002-8143-5289","contributorId":260459,"corporation":false,"usgs":false,"family":"Bogich","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":871530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":871531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Panhuis, Willem G.","contributorId":304740,"corporation":false,"usgs":false,"family":"van Panhuis","given":"Willem G.","affiliations":[],"preferred":false,"id":871532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viboud, Cecile 0000-0003-3243-4711","orcid":"https://orcid.org/0000-0003-3243-4711","contributorId":258034,"corporation":false,"usgs":false,"family":"Viboud","given":"Cecile","email":"","affiliations":[{"id":52216,"text":"National Institutes of Health Fogarty International Center","active":true,"usgs":false}],"preferred":false,"id":871533,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aguas, Ricardo","contributorId":304741,"corporation":false,"usgs":false,"family":"Aguas","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":871534,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Belov, Artur A.","contributorId":304742,"corporation":false,"usgs":false,"family":"Belov","given":"Artur","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":871535,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bhargava, Sanjana H.","contributorId":304743,"corporation":false,"usgs":false,"family":"Bhargava","given":"Sanjana","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":871536,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cavany, Sean M.","contributorId":304744,"corporation":false,"usgs":false,"family":"Cavany","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":871537,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chang, Joshua C.","contributorId":304745,"corporation":false,"usgs":false,"family":"Chang","given":"Joshua","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871538,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Chen, Cynthia","contributorId":172603,"corporation":false,"usgs":false,"family":"Chen","given":"Cynthia","email":"","affiliations":[{"id":27068,"text":"Intact Genomics, Saint Louis, Missouri, USAe","active":true,"usgs":false}],"preferred":false,"id":871539,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Chen, Jinghui","contributorId":304746,"corporation":false,"usgs":false,"family":"Chen","given":"Jinghui","email":"","affiliations":[],"preferred":false,"id":871540,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Chen, Shi","contributorId":296532,"corporation":false,"usgs":false,"family":"Chen","given":"Shi","email":"","affiliations":[],"preferred":false,"id":871541,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chen, YangQuan","contributorId":304747,"corporation":false,"usgs":false,"family":"Chen","given":"YangQuan","email":"","affiliations":[],"preferred":false,"id":871542,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Childs, Lauren M.","contributorId":304748,"corporation":false,"usgs":false,"family":"Childs","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":871559,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Chow, Carson C.","contributorId":304749,"corporation":false,"usgs":false,"family":"Chow","given":"Carson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871543,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Crooker, Isabel","contributorId":304750,"corporation":false,"usgs":false,"family":"Crooker","given":"Isabel","email":"","affiliations":[],"preferred":false,"id":871544,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Del Valle, Sara Y.","contributorId":304751,"corporation":false,"usgs":false,"family":"Del Valle","given":"Sara","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":871545,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Espana, Guido","contributorId":304004,"corporation":false,"usgs":false,"family":"Espana","given":"Guido","email":"","affiliations":[],"preferred":false,"id":871560,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Fairchild, Geoffrey","contributorId":304756,"corporation":false,"usgs":false,"family":"Fairchild","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":871561,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Gerkin, Richard C.","contributorId":304757,"corporation":false,"usgs":false,"family":"Gerkin","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871562,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Germann, Timothy C.","contributorId":304758,"corporation":false,"usgs":false,"family":"Germann","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871563,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Gu, Quanquan","contributorId":304759,"corporation":false,"usgs":false,"family":"Gu","given":"Quanquan","email":"","affiliations":[],"preferred":false,"id":871564,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Guan, Xiangyang","contributorId":304760,"corporation":false,"usgs":false,"family":"Guan","given":"Xiangyang","email":"","affiliations":[],"preferred":false,"id":871565,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Guo, Linhong","contributorId":304762,"corporation":false,"usgs":false,"family":"Guo","given":"Linhong","email":"","affiliations":[],"preferred":false,"id":871566,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Hart, Gregory R.","contributorId":304763,"corporation":false,"usgs":false,"family":"Hart","given":"Gregory","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":871567,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Hladish, Thomas J.","contributorId":304764,"corporation":false,"usgs":false,"family":"Hladish","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":871568,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Hupert, Nathaniel","contributorId":304765,"corporation":false,"usgs":false,"family":"Hupert","given":"Nathaniel","email":"","affiliations":[],"preferred":false,"id":871569,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Janies, Daniel","contributorId":69899,"corporation":false,"usgs":true,"family":"Janies","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":871570,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Kerr, Cliff C.","contributorId":304766,"corporation":false,"usgs":false,"family":"Kerr","given":"Cliff","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871571,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Klein, Daniel J.","contributorId":304767,"corporation":false,"usgs":false,"family":"Klein","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":871572,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Klein, Eili Y.","contributorId":304768,"corporation":false,"usgs":false,"family":"Klein","given":"Eili","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":871573,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Lin, Gary","contributorId":304769,"corporation":false,"usgs":false,"family":"Lin","given":"Gary","email":"","affiliations":[],"preferred":false,"id":871574,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Manore, Carrie","contributorId":304770,"corporation":false,"usgs":false,"family":"Manore","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":871575,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Meyers, Lauren A.","contributorId":304771,"corporation":false,"usgs":false,"family":"Meyers","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":871576,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Mittler, John E.","contributorId":304772,"corporation":false,"usgs":false,"family":"Mittler","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":871577,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Mu, Kunpeng","contributorId":258119,"corporation":false,"usgs":false,"family":"Mu","given":"Kunpeng","email":"","affiliations":[],"preferred":false,"id":871578,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Nunez, Rafael C.","contributorId":304773,"corporation":false,"usgs":false,"family":"Nunez","given":"Rafael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871579,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Oidtman, Rachel J.","contributorId":304774,"corporation":false,"usgs":false,"family":"Oidtman","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":871580,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Pasco, Remy","contributorId":304775,"corporation":false,"usgs":false,"family":"Pasco","given":"Remy","email":"","affiliations":[],"preferred":false,"id":871581,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Pastore y Piontti, Ana","contributorId":258114,"corporation":false,"usgs":false,"family":"Pastore y Piontti","given":"Ana","email":"","affiliations":[],"preferred":false,"id":871582,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Paul, Rajib","contributorId":296533,"corporation":false,"usgs":false,"family":"Paul","given":"Rajib","email":"","affiliations":[],"preferred":false,"id":871583,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Pearson, Carl A. B.","contributorId":304776,"corporation":false,"usgs":false,"family":"Pearson","given":"Carl","email":"","middleInitial":"A. B.","affiliations":[],"preferred":false,"id":871584,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Perdomo, Dianela R.","contributorId":304777,"corporation":false,"usgs":false,"family":"Perdomo","given":"Dianela","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":871585,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Perkins, T. Alex","contributorId":304778,"corporation":false,"usgs":false,"family":"Perkins","given":"T.","email":"","middleInitial":"Alex","affiliations":[],"preferred":false,"id":871586,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Pierce, Kelly","contributorId":304779,"corporation":false,"usgs":false,"family":"Pierce","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":871587,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Pillai, Alexander N.","contributorId":304780,"corporation":false,"usgs":false,"family":"Pillai","given":"Alexander","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":871588,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Rael, Rosalyn C.","contributorId":304781,"corporation":false,"usgs":false,"family":"Rael","given":"Rosalyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":871589,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Rosenfeld, Katherine","contributorId":304782,"corporation":false,"usgs":false,"family":"Rosenfeld","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":871590,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Ross, Chrysm W.","contributorId":304783,"corporation":false,"usgs":false,"family":"Ross","given":"Chrysm","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":871597,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Spencer, Julie A.","contributorId":304784,"corporation":false,"usgs":false,"family":"Spencer","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":871598,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Stoltzfus, Arlin B.","contributorId":304785,"corporation":false,"usgs":false,"family":"Stoltzfus","given":"Arlin","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":871599,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Toh, Kok B.","contributorId":304786,"corporation":false,"usgs":false,"family":"Toh","given":"Kok","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":871600,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Vattikuti, Shashaank","contributorId":304787,"corporation":false,"usgs":false,"family":"Vattikuti","given":"Shashaank","email":"","affiliations":[],"preferred":false,"id":871601,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Vespignani, Alessandro","contributorId":258115,"corporation":false,"usgs":false,"family":"Vespignani","given":"Alessandro","email":"","affiliations":[],"preferred":false,"id":871602,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Wang, Lingxiao","contributorId":304788,"corporation":false,"usgs":false,"family":"Wang","given":"Lingxiao","email":"","affiliations":[],"preferred":false,"id":871603,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"White, Lisa J.","contributorId":304789,"corporation":false,"usgs":false,"family":"White","given":"Lisa","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":871604,"contributorType":{"id":1,"text":"Authors"},"rank":60},{"text":"Pan, X.","contributorId":57652,"corporation":false,"usgs":true,"family":"Pan","given":"X.","email":"","affiliations":[],"preferred":false,"id":871605,"contributorType":{"id":1,"text":"Authors"},"rank":61},{"text":"Yang, Yupeng","contributorId":304790,"corporation":false,"usgs":false,"family":"Yang","given":"Yupeng","email":"","affiliations":[],"preferred":false,"id":871606,"contributorType":{"id":1,"text":"Authors"},"rank":62},{"text":"Yogurtcu, Osman N.","contributorId":304791,"corporation":false,"usgs":false,"family":"Yogurtcu","given":"Osman","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":871607,"contributorType":{"id":1,"text":"Authors"},"rank":63},{"text":"Zhang, Weitong","contributorId":304792,"corporation":false,"usgs":false,"family":"Zhang","given":"Weitong","email":"","affiliations":[],"preferred":false,"id":871608,"contributorType":{"id":1,"text":"Authors"},"rank":64},{"text":"Zhao, Yanting","contributorId":304793,"corporation":false,"usgs":false,"family":"Zhao","given":"Yanting","email":"","affiliations":[],"preferred":false,"id":871609,"contributorType":{"id":1,"text":"Authors"},"rank":65},{"text":"Zou, Difan","contributorId":304794,"corporation":false,"usgs":false,"family":"Zou","given":"Difan","email":"","affiliations":[],"preferred":false,"id":871610,"contributorType":{"id":1,"text":"Authors"},"rank":66},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":871611,"contributorType":{"id":1,"text":"Authors"},"rank":67},{"text":"Pannell, David","contributorId":217709,"corporation":false,"usgs":false,"family":"Pannell","given":"David","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":871612,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Tildesley, Michael J.","contributorId":100772,"corporation":false,"usgs":true,"family":"Tildesley","given":"Michael J.","affiliations":[],"preferred":false,"id":871613,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Seiferth, J.","contributorId":147347,"corporation":false,"usgs":false,"family":"Seiferth","given":"J.","email":"","affiliations":[],"preferred":false,"id":871614,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Johnson, Elyse","contributorId":304796,"corporation":false,"usgs":false,"family":"Johnson","given":"Elyse","email":"","affiliations":[],"preferred":false,"id":871615,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Biggerstaff, Matthew","contributorId":258040,"corporation":false,"usgs":false,"family":"Biggerstaff","given":"Matthew","email":"","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":871616,"contributorType":{"id":1,"text":"Authors"},"rank":72},{"text":"Johansson, Michael A","contributorId":258041,"corporation":false,"usgs":false,"family":"Johansson","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":871617,"contributorType":{"id":1,"text":"Authors"},"rank":73},{"text":"Slayton, Rachel B.","contributorId":258039,"corporation":false,"usgs":false,"family":"Slayton","given":"Rachel","email":"","middleInitial":"B.","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":871618,"contributorType":{"id":1,"text":"Authors"},"rank":74},{"text":"Levander, John","contributorId":258069,"corporation":false,"usgs":false,"family":"Levander","given":"John","email":"","affiliations":[],"preferred":false,"id":871619,"contributorType":{"id":1,"text":"Authors"},"rank":75},{"text":"Stazer, Jeff","contributorId":304797,"corporation":false,"usgs":false,"family":"Stazer","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":871620,"contributorType":{"id":1,"text":"Authors"},"rank":76},{"text":"Kerr, J.","contributorId":76516,"corporation":false,"usgs":true,"family":"Kerr","given":"J.","email":"","affiliations":[],"preferred":false,"id":871621,"contributorType":{"id":1,"text":"Authors"},"rank":77},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871622,"contributorType":{"id":1,"text":"Authors"},"rank":78}]}}
,{"id":70256479,"text":"70256479 - 2023 - A coupled human and natural systems framework to characterize emerging infectious diseases: The case of fibropapillomatosis in marine turtles","interactions":[],"lastModifiedDate":"2024-08-06T16:48:50.431037","indexId":"70256479","displayToPublicDate":"2023-04-23T11:46:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"A coupled human and natural systems framework to characterize emerging infectious diseases: The case of fibropapillomatosis in marine turtles","docAbstract":"Emerging infectious diseases of wildlife have markedly increased in the last few decades. Unsustainable, continuous, and rapid alterations within and between coupled human and natural systems have significantly disrupted wildlife disease dynamics. Direct and indirect anthropogenic effects, such as climate change, pollution, encroachment, urbanization, travel, and trade, can promote outbreaks of infectious diseases in wildlife. We constructed a coupled human and natural systems framework identifying three main wildlife disease risk factors behind these anthropogenic effects: (i) immune suppression, (ii) viral spillover, and (iii) disease propagation. Through complex and convoluted dynamics, each of the anthropogenic effect listed in our framework can lead, to some extent, to one or more of the identified risk factors accelerating disease outbreaks in wildlife. In this review, we present a novel framework to study anthropogenic impacts within coupled human and natural systems that facilitate emergence of infectious disease involving wildlife. We demonstrate the utility of the framework by applying it to Fibropapillomatosis disease of marine turtles. We aim to articulate the intricate and complex nature of anthropogenically-exacerbated wildlife infectious diseases as multifactorial. This paper supports the adoption of a One Health approach and invites the collaboration of multiple disciplines for the achievement of effective and long-lasting conservation and wildlife emerging diseases mitigation outcomes.","language":"English","publisher":"MDPI","doi":"10.3390/ani13091441","usgsCitation":"Manes, C., Carthy, R., and Hull, V., 2023, A coupled human and natural systems framework to characterize emerging infectious diseases: The case of fibropapillomatosis in marine turtles: Animals, v. 13, no. 9, 1441, 16 p., https://doi.org/10.3390/ani13091441.","productDescription":"1441, 16 p.","ipdsId":"IP-151093","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani13091441","text":"Publisher Index Page"},{"id":432296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Manes, Costanza","contributorId":340789,"corporation":false,"usgs":false,"family":"Manes","given":"Costanza","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hull, Vanessa","contributorId":340791,"corporation":false,"usgs":false,"family":"Hull","given":"Vanessa","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907562,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243129,"text":"70243129 - 2023 - Estimating the impact of climate and vegetation changes on runoff risk across the Hawaiian landscape","interactions":[],"lastModifiedDate":"2023-05-01T12:17:28.735759","indexId":"70243129","displayToPublicDate":"2023-04-23T07:09:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1327,"text":"Conservation and resource management.","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the impact of climate and vegetation changes on runoff risk across the Hawaiian landscape","docAbstract":"<div class=\"html-p\">In Hawai’i, ecosystem conservation practitioners are increasingly considering the potential ecohydrological benefits from applied conservation action to mitigate the degrading impacts of runoff on native and restored ecosystems. One determinant of runoff is excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land-cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future climate scenarios. We then mapped the potential risk of excess rainfall across the main Hawaiian Islands. Our results show that land cover type has a very large effect on runoff risk as excess rainfall conditions are 234% more likely in bare soil and 75% more likely in grasslands compared to woody forests and shrublands. In contrast, projected shifts in rainfall intensity by end-of-century show little impact on these probabilities and thus, the risk of runoff. This indicates that the probability of excess rainfall is primarily driven by differences in land cover and not by current or potential shifts in rainfall patterns across the Hawaiian landscape. The ability to estimate the risk of potentially ecologically and economically costly runoff based on changes of land cover is useful for managers focused on invasive species control and restoration planning, especially for native and endemic ecosystems unique to the State of Hawai’i.</div>","language":"English","publisher":"MDPI","doi":"10.3390/conservation3020020","usgsCitation":"Fortini, L., Kaiser, L.R., Perkins, K., Xue, L., and Wang, Y., 2023, Estimating the impact of climate and vegetation changes on runoff risk across the Hawaiian landscape: Conservation and resource management., v. 3, no. 2, p. 291-302, https://doi.org/10.3390/conservation3020020.","productDescription":"12 p.","startPage":"291","endPage":"302","ipdsId":"IP-147713","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":443774,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/conservation3020020","text":"Publisher Index Page"},{"id":435362,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VOTDH3","text":"USGS data release","linkHelpText":"Hawaiian Islands excess rainfall conditions under current (2002-2012) and future (2090-2099) climate scenarios"},{"id":416546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-155.778234,20.245743],[-155.772734,20.245409],[-155.746893,20.232325],[-155.737004,20.222773],[-155.735822,20.212417],[-155.732704,20.205392],[-155.653966,20.16736],[-155.630382,20.146916],[-155.624565,20.145911],[-155.607797,20.137987],[-155.600909,20.126573],[-155.598033,20.124539],[-155.590923,20.122497],[-155.58168,20.123617],[-155.568368,20.130545],[-155.558933,20.13157],[-155.523661,20.120028],[-155.516795,20.11523],[-155.502561,20.114155],[-155.468211,20.104296],[-155.443957,20.095318],[-155.405459,20.078772],[-155.4024,20.075541],[-155.387578,20.067119],[-155.33021,20.038517],[-155.29548,20.024438],[-155.282629,20.021969],[-155.270316,20.014525],[-155.240933,19.990173],[-155.204486,19.969438],[-155.194593,19.958368],[-155.179939,19.949372],[-155.149215,19.922872],[-155.144394,19.920523],[-155.131235,19.906801],[-155.124618,19.897288],[-155.12175,19.886099],[-155.107541,19.872467],[-155.098716,19.867811],[-155.095032,19.867882],[-155.086341,19.855399],[-155.084357,19.849736],[-155.085674,19.838584],[-155.088979,19.826656],[-155.094414,19.81491],[-155.09207,19.799409],[-155.091216,19.776368],[-155.093517,19.771832],[-155.093387,19.737751],[-155.087118,19.728013],[-155.079426,19.726193],[-155.063972,19.728917],[-155.045382,19.739824],[-155.006423,19.739286],[-154.997278,19.72858],[-154.987168,19.708524],[-154.981102,19.690687],[-154.984718,19.672161],[-154.983778,19.641647],[-154.974342,19.633201],[-154.963933,19.627605],[-154.950359,19.626461],[-154.947874,19.62425],[-154.947718,19.621947],[-154.951014,19.613614],[-154.947106,19.604856],[-154.93394,19.597505],[-154.928205,19.592702],[-154.924422,19.586553],[-154.903542,19.570622],[-154.875,19.556797],[-154.852618,19.549172],[-154.837384,19.538354],[-154.826732,19.537626],[-154.814417,19.53009],[-154.809561,19.522377],[-154.809379,19.519086],[-154.822968,19.48129],[-154.838545,19.463642],[-154.86854,19.438126],[-154.887817,19.426425],[-154.928772,19.397646],[-154.944185,19.381852],[-154.964619,19.365646],[-154.980861,19.349291],[-155.020537,19.331317],[-155.061729,19.316636],[-155.113272,19.290613],[-155.1337,19.276099],[-155.159635,19.268375],[-155.172413,19.26906],[-155.187427,19.266156],[-155.19626,19.261295],[-155.205892,19.260907],[-155.243961,19.271313],[-155.264619,19.274213],[-155.296761,19.266289],[-155.303808,19.261835],[-155.31337,19.250698],[-155.341268,19.234039],[-155.349148,19.217756],[-155.360631,19.20893],[-155.378638,19.202435],[-155.390701,19.201171],[-155.417369,19.187858],[-155.427093,19.179546],[-155.432519,19.170623],[-155.453516,19.151952],[-155.465663,19.146964],[-155.505281,19.137908],[-155.51474,19.132501],[-155.51214,19.128174],[-155.512137,19.124296],[-155.519652,19.117025],[-155.526136,19.115889],[-155.528902,19.11371],[-155.544806,19.091059],[-155.551129,19.08878],[-155.557817,19.08213],[-155.555326,19.069377],[-155.555177,19.053932],[-155.557371,19.046565],[-155.566446,19.032531],[-155.576599,19.027412],[-155.581903,19.02224],[-155.596032,18.998833],[-155.596521,18.980654],[-155.601866,18.971572],[-155.613966,18.970399],[-155.625256,18.961951],[-155.625,18.959934],[-155.638054,18.941723],[-155.658486,18.924835],[-155.672005,18.917466],[-155.681825,18.918694],[-155.687716,18.923358],[-155.690171,18.932195],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.853943,19.023762],[-155.88155,19.036644],[-155.884077,19.039266],[-155.886278,19.05576],[-155.903693,19.080777],[-155.908355,19.081138],[-155.921389,19.121183],[-155.917292,19.155963],[-155.903339,19.217792],[-155.90491,19.230147],[-155.902565,19.258427],[-155.895435,19.274639],[-155.890842,19.298905],[-155.887356,19.337101],[-155.888701,19.348031],[-155.898792,19.377984],[-155.913849,19.401107],[-155.909087,19.415455],[-155.921707,19.43055],[-155.924269,19.438794],[-155.925166,19.468081],[-155.922609,19.478611],[-155.924124,19.481406],[-155.930523,19.484921],[-155.935641,19.485628],[-155.936403,19.481905],[-155.939145,19.481577],[-155.95149,19.486649],[-155.952897,19.488805],[-155.953663,19.510003],[-155.960457,19.546612],[-155.962264,19.551779],[-155.965211,19.554745],[-155.96935,19.555963],[-155.970969,19.586328],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.032928,19.653905],[-156.034994,19.65936],[-156.033326,19.66923],[-156.027427,19.672154],[-156.029281,19.678908],[-156.036079,19.690252],[-156.04796,19.698938],[-156.051652,19.703649],[-156.052485,19.718667],[-156.064364,19.730766],[-156.05722,19.742536],[-156.052315,19.756836],[-156.049651,19.780452],[-156.021732,19.8022],[-156.006267,19.81758],[-155.982821,19.845651],[-155.976651,19.85053],[-155.964817,19.855183],[-155.949251,19.857034],[-155.945297,19.853443],[-155.940311,19.852305],[-155.925843,19.858928],[-155.926938,19.870221],[-155.92549,19.875],[-155.915662,19.887126],[-155.901987,19.912081],[-155.894099,19.923135],[-155.894474,19.926927],[-155.892533,19.932162],[-155.866919,19.954172],[-155.856588,19.968885],[-155.840708,19.976952],[-155.838692,19.975527],[-155.835312,19.976078],[-155.831948,19.982775],[-155.828965,19.995542],[-155.825473,20.025944],[-155.828182,20.035424],[-155.850385,20.062506],[-155.866931,20.078652],[-155.88419,20.10675],[-155.899149,20.145728],[-155.906035,20.205157],[-155.901452,20.235787],[-155.890663,20.25524],[-155.882631,20.263026],[-155.873921,20.267744],[-155.853293,20.271548],[-155.811459,20.26032],[-155.783242,20.246395],[-155.778234,20.245743]]],[[[-157.789581,21.438396],[-157.789734,21.437679],[-157.789276,21.435833],[-157.790543,21.434313],[-157.791718,21.434881],[-157.793045,21.43391],[-157.793167,21.43574],[-157.791565,21.43651],[-157.791779,21.437752],[-157.793289,21.437658],[-157.791779,21.438435],[-157.791092,21.438442],[-157.790741,21.43874],[-157.789581,21.438396]]],[[[-160.125,21.95909],[-160.122262,21.962881],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.058543,21.99638],[-160.051992,21.983681],[-160.052729,21.980321],[-160.056336,21.977939],[-160.060549,21.976729],[-160.063349,21.978354],[-160.065811,21.976562],[-160.078393,21.955153],[-160.085787,21.927295],[-160.080012,21.910808],[-160.079065,21.89608],[-160.098897,21.884711],[-160.124283,21.876789],[-160.147609,21.872814],[-160.16162,21.864746],[-160.174796,21.846923],[-160.189782,21.82245],[-160.205211,21.789053],[-160.200427,21.786479],[-160.205851,21.779518],[-160.218044,21.783755],[-160.23478,21.795418],[-160.24961,21.815145],[-160.244943,21.848943],[-160.231028,21.886263],[-160.228965,21.889117],[-160.21383,21.899193],[-160.205528,21.907507],[-160.202716,21.912422],[-160.190158,21.923592],[-160.167471,21.932863],[-160.13705,21.948632],[-160.127302,21.955508],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.388119,22.223252],[-159.385977,22.220009],[-159.367563,22.214906],[-159.359842,22.214831],[-159.357227,22.217744],[-159.353795,22.217669],[-159.339964,22.208519],[-159.315613,22.186817],[-159.308855,22.155555],[-159.297808,22.149748],[-159.295875,22.144547],[-159.295271,22.13039],[-159.297143,22.113815],[-159.317451,22.080944],[-159.321667,22.063411],[-159.324775,22.05867],[-159.333267,22.054639],[-159.337996,22.046575],[-159.341401,22.028978],[-159.333224,21.973005],[-159.333109,21.964176],[-159.334714,21.961099],[-159.350828,21.950817],[-159.356613,21.939546],[-159.382349,21.924479],[-159.408284,21.897781],[-159.425862,21.884527],[-159.446599,21.871647],[-159.471962,21.88292],[-159.490914,21.888898],[-159.517973,21.890996],[-159.555415,21.891355],[-159.574991,21.896585],[-159.577784,21.900486],[-159.584272,21.899038],[-159.610241,21.898356],[-159.637849,21.917166],[-159.648132,21.93297],[-159.671872,21.957038],[-159.681493,21.960054],[-159.705255,21.963427],[-159.72014,21.970789],[-159.758218,21.980694],[-159.765735,21.986593],[-159.788139,22.018411],[-159.790932,22.031177],[-159.786543,22.06369],[-159.780096,22.072567],[-159.748159,22.100388],[-159.741223,22.115666],[-159.733457,22.142756],[-159.726043,22.152171],[-159.699978,22.165252],[-159.66984,22.170782],[-159.608794,22.207878],[-159.591596,22.219456],[-159.583965,22.22668],[-159.559643,22.229185],[-159.554166,22.228212],[-159.548594,22.226263],[-159.54115,22.216764],[-159.534594,22.219403],[-159.523769,22.217602],[-159.51941,22.215646],[-159.518348,22.211182],[-159.515574,22.208008],[-159.507811,22.205987],[-159.501055,22.211064],[-159.500821,22.225538],[-159.488558,22.23317],[-159.480158,22.232715],[-159.467007,22.226529],[-159.45619,22.228811],[-159.441809,22.226321],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.999108,21.182221],[-156.991318,21.18551],[-156.987768,21.18935],[-156.982343,21.207798],[-156.984464,21.210063],[-156.984032,21.212198],[-156.974002,21.218503],[-156.969064,21.217018],[-156.962847,21.212131],[-156.951654,21.191662],[-156.950808,21.182636],[-156.946159,21.175963],[-156.918248,21.168279],[-156.903466,21.16421],[-156.898174,21.16594],[-156.89613,21.169561],[-156.896537,21.172208],[-156.867944,21.16452],[-156.841592,21.167926],[-156.821944,21.174693],[-156.771495,21.180053],[-156.742231,21.176214],[-156.738341,21.17202],[-156.736648,21.16188],[-156.719386,21.163911],[-156.712696,21.161547],[-156.714158,21.152238],[-156.726033,21.13236],[-156.748932,21.1086],[-156.775995,21.089751],[-156.790815,21.081686],[-156.794136,21.075796],[-156.835351,21.06336],[-156.865795,21.057801],[-156.877137,21.0493],[-156.891946,21.051831],[-156.89517,21.055771],[-156.953719,21.067761],[-157.00295,21.083282],[-157.02617,21.089015],[-157.032045,21.091094],[-157.037667,21.097864],[-157.079696,21.105835],[-157.095373,21.10636],[-157.125,21.1026],[-157.143483,21.096632],[-157.254061,21.090601],[-157.298054,21.096917],[-157.313343,21.105755],[-157.299187,21.132488],[-157.299471,21.135972],[-157.293774,21.146127],[-157.284346,21.157755],[-157.276474,21.163175],[-157.274504,21.162762],[-157.259911,21.174875],[-157.254709,21.181376],[-157.251007,21.190952],[-157.25026,21.207739],[-157.256935,21.215665],[-157.261457,21.217661],[-157.263163,21.220873],[-157.26069,21.225684],[-157.257085,21.227268],[-157.241534,21.220969],[-157.226445,21.220185],[-157.212082,21.221848],[-157.202125,21.219298],[-157.192439,21.207644],[-157.185553,21.205602],[-157.157103,21.200706],[-157.148125,21.200745],[-157.144627,21.202555],[-157.128207,21.201488],[-157.113438,21.197375],[-157.097971,21.198012],[-157.064264,21.189076],[-157.053053,21.188754],[-157.047757,21.190739],[-157.039987,21.190909],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.550016,20.520273],[-156.559994,20.521892],[-156.586238,20.511711],[-156.603844,20.524372],[-156.631143,20.514943],[-156.642347,20.508285],[-156.647464,20.512017],[-156.668809,20.504738],[-156.682939,20.506775],[-156.703673,20.527237],[-156.702265,20.532451],[-156.696662,20.541646],[-156.6801,20.557021],[-156.651567,20.565574],[-156.614598,20.587109],[-156.610734,20.59377],[-156.576871,20.60657],[-156.56714,20.604895],[-156.553604,20.594729],[-156.543034,20.580115],[-156.542808,20.573674],[-156.548909,20.56859],[-156.556021,20.542657],[-156.553018,20.539382],[-156.540189,20.534741],[-156.539643,20.527644],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.612065,21.027273],[-156.606238,21.034371],[-156.592256,21.03288],[-156.580448,21.020172],[-156.562773,21.016167],[-156.549813,21.004939],[-156.546291,21.005082],[-156.528246,20.967757],[-156.518707,20.954662],[-156.512226,20.95128],[-156.510391,20.940358],[-156.507913,20.937886],[-156.49948,20.934577],[-156.495883,20.928005],[-156.493263,20.916011],[-156.481055,20.898199],[-156.474796,20.894546],[-156.422668,20.911631],[-156.386045,20.919563],[-156.374297,20.927616],[-156.370729,20.932669],[-156.352649,20.941414],[-156.345655,20.941596],[-156.342365,20.938737],[-156.332817,20.94645],[-156.324578,20.950184],[-156.307198,20.942739],[-156.286332,20.947701],[-156.275116,20.937361],[-156.263107,20.940888],[-156.242555,20.937838],[-156.230159,20.931936],[-156.230089,20.917864],[-156.226757,20.916677],[-156.222062,20.918309],[-156.217953,20.916573],[-156.216341,20.907035],[-156.173103,20.876926],[-156.170458,20.874605],[-156.166746,20.865646],[-156.132669,20.861369],[-156.129381,20.847513],[-156.115735,20.827301],[-156.100123,20.828502],[-156.090291,20.831872],[-156.059788,20.81054],[-156.033287,20.808246],[-156.003532,20.795545],[-156.002947,20.789418],[-155.987944,20.776552],[-155.984587,20.767496],[-155.986851,20.758577],[-155.985413,20.744245],[-155.987216,20.722717],[-155.991534,20.713654],[-156.00187,20.698064],[-156.01415,20.685681],[-156.020044,20.686857],[-156.030702,20.682452],[-156.040341,20.672719],[-156.043786,20.664902],[-156.053385,20.65432],[-156.059753,20.652044],[-156.081472,20.654387],[-156.089365,20.648519],[-156.120985,20.633685],[-156.129898,20.627523],[-156.142665,20.623605],[-156.144588,20.624032],[-156.148085,20.629067],[-156.156772,20.629639],[-156.169732,20.627358],[-156.173393,20.6241],[-156.184556,20.629719],[-156.192938,20.631769],[-156.210258,20.628518],[-156.225338,20.62294],[-156.236145,20.61595],[-156.265921,20.601629],[-156.284391,20.596488],[-156.288037,20.59203],[-156.293454,20.588783],[-156.302692,20.586199],[-156.322944,20.588273],[-156.351716,20.58697],[-156.359634,20.581977],[-156.370725,20.57876],[-156.377633,20.578427],[-156.415313,20.586099],[-156.417523,20.589728],[-156.415746,20.594044],[-156.417799,20.598682],[-156.423141,20.602079],[-156.427708,20.598873],[-156.431872,20.598143],[-156.438385,20.601337],[-156.444242,20.607941],[-156.442884,20.613842],[-156.450651,20.642212],[-156.445894,20.64927],[-156.443673,20.656018],[-156.448656,20.704739],[-156.451038,20.725469],[-156.452895,20.731287],[-156.458438,20.736676],[-156.462242,20.753952],[-156.462058,20.772571],[-156.464043,20.781667],[-156.473562,20.790756],[-156.489496,20.798339],[-156.501688,20.799933],[-156.506026,20.799463],[-156.515994,20.794234],[-156.525215,20.780821],[-156.537752,20.778408],[-156.631794,20.82124],[-156.678634,20.870541],[-156.688969,20.888673],[-156.687804,20.89072],[-156.688132,20.906325],[-156.691334,20.91244],[-156.697418,20.916368],[-156.69989,20.920629],[-156.69411,20.952708],[-156.680905,20.980262],[-156.665514,21.007054],[-156.652419,21.008994],[-156.645966,21.014416],[-156.642592,21.019936],[-156.644167,21.022312],[-156.642809,21.027583],[-156.619581,21.027793],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.989813,20.932127],[-156.971604,20.926254],[-156.937529,20.925274],[-156.91845,20.922546],[-156.897169,20.915395],[-156.837047,20.863575],[-156.825237,20.850731],[-156.809576,20.826036],[-156.808469,20.820396],[-156.809463,20.809169],[-156.817427,20.794606],[-156.838321,20.764575],[-156.846413,20.760201],[-156.851481,20.760069],[-156.869753,20.754701],[-156.890295,20.744855],[-156.909081,20.739533],[-156.949009,20.738997],[-156.96789,20.73508],[-156.984747,20.756677],[-156.994001,20.786671],[-156.988933,20.815496],[-156.991834,20.826603],[-157.006243,20.849603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.059663,20.884634],[-157.061128,20.890635],[-157.062511,20.904385],[-157.05913,20.913407],[-157.035789,20.927078],[-157.025626,20.929528],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.0883,21.2988],[-158.1033,21.2979],[-158.1127,21.3019],[-158.1211,21.3169],[-158.1225,21.3224],[-158.111949,21.326622],[-158.114196,21.331123],[-158.119427,21.334594],[-158.125459,21.330264],[-158.13324,21.359207],[-158.1403,21.3738],[-158.149719,21.385208],[-158.161743,21.396282],[-158.1792,21.4043],[-158.181274,21.409626],[-158.181,21.420868],[-158.182648,21.430073],[-158.192352,21.44804],[-158.205383,21.459793],[-158.219446,21.46978],[-158.233,21.4876],[-158.231171,21.523857],[-158.23175,21.533035],[-158.234314,21.540058],[-158.250671,21.557373],[-158.27951,21.575794],[-158.277679,21.578789],[-158.254425,21.582684],[-158.190704,21.585892],[-158.17,21.5823],[-158.12561,21.586739],[-158.10672,21.596577],[-158.106689,21.603024],[-158.1095,21.6057],[-158.108185,21.607487],[-158.079895,21.628101],[-158.0668,21.6437],[-158.066711,21.65234],[-158.0639,21.6584],[-158.0372,21.6843],[-158.018127,21.699955],[-157.9923,21.708],[-157.98703,21.712494],[-157.968628,21.712704],[-157.947174,21.689568],[-157.939,21.669],[-157.9301,21.6552],[-157.924591,21.651183],[-157.9228,21.6361],[-157.9238,21.6293],[-157.910797,21.611183],[-157.900574,21.605885],[-157.87735,21.575277],[-157.878601,21.560181],[-157.872528,21.557568],[-157.8669,21.5637],[-157.85614,21.560661],[-157.85257,21.557514],[-157.836945,21.529945],[-157.837372,21.512085],[-157.849579,21.509598],[-157.852625,21.499971],[-157.84549,21.466747],[-157.84099,21.459483],[-157.82489,21.455379],[-157.8163,21.4502],[-157.8139,21.4403],[-157.8059,21.4301],[-157.786513,21.415633],[-157.779846,21.417309],[-157.774455,21.421352],[-157.772209,21.431236],[-157.774905,21.453698],[-157.772209,21.457741],[-157.764572,21.461335],[-157.754239,21.461335],[-157.737617,21.459089],[-157.731777,21.455944],[-157.731328,21.444713],[-157.73582,21.438424],[-157.740762,21.424048],[-157.741211,21.414614],[-157.7386,21.4043],[-157.730191,21.401871],[-157.728221,21.402104],[-157.726421,21.402845],[-157.724324,21.403311],[-157.723794,21.40329],[-157.723286,21.403227],[-157.722735,21.403121],[-157.722544,21.403036],[-157.721845,21.401596],[-157.721083,21.399541],[-157.7189,21.3961],[-157.7089,21.3833],[-157.7087,21.3793],[-157.7126,21.3689],[-157.7106,21.3585],[-157.7088,21.3534],[-157.6971,21.3364],[-157.6938,21.3329],[-157.6619,21.3131],[-157.6518,21.3139],[-157.652629,21.308709],[-157.6537,21.302],[-157.6946,21.2739],[-157.6944,21.2665],[-157.7001,21.264],[-157.7097,21.2621],[-157.7139,21.2638],[-157.7142,21.2665],[-157.7114,21.272],[-157.7122,21.2814],[-157.7143,21.2845],[-157.7213,21.2869],[-157.7572,21.278],[-157.765,21.2789],[-157.7782,21.2735],[-157.7931,21.2604],[-157.8096,21.2577],[-157.8211,21.2606],[-157.8241,21.2646],[-157.8253,21.2714],[-157.8319,21.2795],[-157.8457,21.29],[-157.89,21.3065],[-157.894518,21.319632],[-157.898969,21.327391],[-157.90482,21.329172],[-157.918939,21.318615],[-157.917921,21.313781],[-157.913469,21.310983],[-157.910925,21.305768],[-157.952263,21.306531],[-157.950736,21.312509],[-157.951881,21.318742],[-157.967971,21.327986],[-157.973334,21.327426],[-157.989424,21.317984],[-158.0245,21.3093],[-158.044485,21.306011]]]]},\"properties\":{\"name\":\"Hawaii\",\"nation\":\"USA  \"}}]}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":871201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, Lauren R.","contributorId":200422,"corporation":false,"usgs":false,"family":"Kaiser","given":"Lauren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":871202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":871203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xue, Lulin","contributorId":301129,"corporation":false,"usgs":false,"family":"Xue","given":"Lulin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":871204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yaping","contributorId":191943,"corporation":false,"usgs":false,"family":"Wang","given":"Yaping","email":"","affiliations":[],"preferred":false,"id":871205,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242978,"text":"70242978 - 2023 - Improving ecological data science with workflow management software","interactions":[],"lastModifiedDate":"2023-06-09T15:20:05.233341","indexId":"70242978","displayToPublicDate":"2023-04-23T06:35:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Improving ecological data science with workflow management software","docAbstract":"<ol class=\"\"><li>Pressing environmental research questions demand the integration of increasingly diverse and large-scale ecological datasets as well as complex analytical methods, which require specialized tools and resources.</li><li>Computational training for ecological and evolutionary sciences has become more abundant and accessible over the past decade, but tool development has outpaced the availability of specialized training. Most training for scripted analyses focuses on individual analysis steps in one script rather than creating a scripted pipeline, where modular functions comprise an ecosystem of interdependent steps. Although current computational training creates an excellent starting place, linear styles of scripting can risk becoming labor- and time-intensive and less reproducible by often requiring manual execution. Pipelines, however, can be easily automated or tracked by software to increase efficiency and reduce potential errors. Ecology and evolution would benefit from techniques that reduce these risks by managing analytical pipelines in a modular, readily parallelizable format with clear documentation of dependencies.</li><li>Workflow management software (WMS) can aid in the reproducibility, intelligibility and computational efficiency of complex pipelines. To date, WMS adoption in ecology and evolutionary research has been slow. We discuss the benefits and challenges of implementing WMS and illustrate its use through a case study with the<span>&nbsp;</span><span class=\"smallCaps\">targets r</span><span>&nbsp;</span>package to further highlight WMS benefits through workflow automation, dependency tracking and improved clarity for reviewers.</li><li>Although WMS requires familiarity with function-oriented programming and careful planning for more advanced applications and pipeline sharing, investment in training will enable access to the benefits of WMS and impart transferable computing skills that can facilitate ecological and evolutionary data science at large scales.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14113","usgsCitation":"Brousil, M.R., Filazzola, A., Meyer, M.F., Sharma, S., and Hampton, S.E., 2023, Improving ecological data science with workflow management software: Methods in Ecology and Evolution, v. 14, no. 6, p. 1381-1388, https://doi.org/10.1111/2041-210X.14113.","productDescription":"8 p.","startPage":"1381","endPage":"1388","ipdsId":"IP-140385","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":443781,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14113","text":"Publisher Index Page"},{"id":416226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Brousil, Matthew R.","contributorId":244071,"corporation":false,"usgs":false,"family":"Brousil","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":870414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Filazzola, Alessandro","contributorId":297335,"corporation":false,"usgs":false,"family":"Filazzola","given":"Alessandro","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":870415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":870416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":870417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":870418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242949,"text":"70242949 - 2023 - Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models","interactions":[],"lastModifiedDate":"2023-06-09T15:19:19.221059","indexId":"70242949","displayToPublicDate":"2023-04-20T06:46:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models","docAbstract":"<ol class=\"\"><li>Sea otters are apex predators that can exert considerable influence over the nearshore communities they occupy. Since facing near extinction in the early 1900s, sea otters are making a remarkable recovery in Southeast Alaska, particularly in Glacier Bay, the largest protected tidewater glacier fjord in the world. The expansion of sea otters across Glacier Bay offers both a challenge to monitoring and stewardship and an unprecedented opportunity to study the top-down effect of a novel apex predator across a diverse and productive ecosystem.</li><li>Our goal was to integrate monitoring data across trophic levels, space, and time to quantify and map the predator–prey interaction between sea otters and butter clams<span>&nbsp;</span><i>Saxidomus gigantea</i>, one of the dominant large bivalves in Glacier Bay and a favoured prey of sea otters.</li><li>We developed a spatially-referenced mechanistic differential equation model of butter clam dynamics that combined both environmental drivers of local population growth and estimates of otter abundance from aerial survey data. We embedded this model in a Bayesian statistical framework and fit it to clam survey data from 43 intertidal and subtidal sites across Glacier Bay.</li><li>Prior to substantial sea otter expansion, we found that butter clam density was structured by an environmental gradient driven by distance from glacier (represented by latitude) and a quadratic effect of current speed. Estimates of sea otter attack rate revealed spatial heterogeneity in sea otter impacts and a negative relationship with local shoreline complexity.</li><li>Sea otter exploitation of productive butter clam habitat substantially reduced the abundance and altered the distribution of butter clams across Glacier Bay, with potential cascading consequences for nearshore community structure and function. Spatial variation in estimated sea otter predation processes further suggests that community context and local environmental conditions mediate the top-down influence of sea otters on a given prey. Overall, our framework provides high-resolution insights about the interaction among components of this food web and could be applied to a variety of other systems involving invasive species, epidemiology or migration.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13929","usgsCitation":"Leach, C.B., Weitzman, B.P., Bodkin, J., Esler, D., Esslinger, G.G., Kloecker, K.A., Monson, D., Womble, J., and Hooten, M.B., 2023, Revealing the extent of sea otter impacts on bivalve prey through multi-trophic monitoring and mechanistic models: Journal of Animal Ecology, v. 92, no. 5, p. 1230-1243, https://doi.org/10.1111/1365-2656.13929.","productDescription":"14 p.","startPage":"1230","endPage":"1243","ipdsId":"IP-134411","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":443800,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13929","text":"Publisher Index Page"},{"id":435367,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LODH0Z","text":"USGS data release","linkHelpText":"Intertidal and Subtidal Sea Otter Prey Sampling in Mixed Sediment Habitat in Glacier Bay National Park and Preserve, Alaska, 1998 to 2011"},{"id":416170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Leach, Clinton B.","contributorId":270703,"corporation":false,"usgs":false,"family":"Leach","given":"Clinton","email":"","middleInitial":"B.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":870322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weitzman, Benjamin P.","contributorId":304409,"corporation":false,"usgs":false,"family":"Weitzman","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":66056,"text":"USFWS-MMM","active":true,"usgs":false}],"preferred":false,"id":870323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodkin, James L. 0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":870324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":870328,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Womble, Jamie N.","contributorId":267709,"corporation":false,"usgs":false,"family":"Womble","given":"Jamie N.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":870329,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":870330,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70244070,"text":"70244070 - 2023 - Characterization of maternal immunity following vaccination of broodstock against IHNV or Flavobacterium psychrophilum in rainbow trout (Oncorhynchus mykiss)","interactions":[],"lastModifiedDate":"2023-06-01T12:23:16.454241","indexId":"70244070","displayToPublicDate":"2023-04-19T07:20:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1653,"text":"Fish and Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of maternal immunity following vaccination of broodstock against IHNV or Flavobacterium psychrophilum in rainbow trout (Oncorhynchus mykiss)","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Infectious hematopoietic necrosis (IHN) is a significant viral disease affecting&nbsp;salmonids, whereas&nbsp;</span><span><i>Flavobacterium</i><i>&nbsp;psychrophilum</i></span><span>&nbsp;(Fp), the causative agent of bacterial coldwater disease (BCWD), remains one of the most significant bacterial pathogens of salmonids. We explored&nbsp;maternal immunity&nbsp;in the context of IHN and BCWD management in&nbsp;rainbow trout&nbsp;(</span><i>Oncorhynchus mykiss</i><span>) aquaculture. Two experimental trials were conducted where different groups of female&nbsp;broodstock&nbsp;were immunized prior to spawning with an&nbsp;IHNV&nbsp;DNA vaccine&nbsp;or a live attenuated&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;</span>(Fp B.17-ILM) vaccine alone, or in combination. Progeny were challenged with either a low or high dose of IHNV at 13 days post hatch (dph) and 32 dph or challenged with<span>&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;at 13 dph. Mortality following a low-dose IHNV challenge at 13 dph was significantly lower in progeny from vaccinated broodstock vs. unvaccinated broodstock, but no significant differences were observed at 32 dph. Mortality due to BCWD was also significantly reduced in 13 dph fry that originated from broodstock immunized with the Fp B.17-ILM vaccine. After vaccination broodstock developed specific or&nbsp;neutralizing antibodies&nbsp;respectively to&nbsp;</span><i>F. psychrophilum</i><span>&nbsp;and IHNV; however,&nbsp;antibody titers&nbsp;in eggs and fry were undetectable. In the eggs and fry mRNA transcripts of the&nbsp;complement components&nbsp;C3 and C5 were detected at much higher levels in progeny from vaccinated broodstock and showed a significantly increased and rapid response post-challenge compared with unvaccinated broodstock. After challenges pro-inflammatory cytokine expression was immediately and considerably elevated in the fry from vaccinated broodstock vs. unvaccinated broodstock, whereas adaptive immune genes were elevated to a lesser degree. Results suggest that maternal transfer of innate and adaptive factors at the transcript level occurred because development of lymphomyeloid organs is not complete in such young fry. In addition to documenting maternally derived immunity in teleosts, this study demonstrates that broodstock vaccination can confer some degree of protection to progeny against viral and bacterial pathogens.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fsi.2023.108749","usgsCitation":"Ma, J., Trushenski, J.T., Jones, E.M., Bruce, T.J., McKenney, D., Kurath, G., and Cain, K., 2023, Characterization of maternal immunity following vaccination of broodstock against IHNV or Flavobacterium psychrophilum in rainbow trout (Oncorhynchus mykiss): Fish and Shellfish Immunology, v. 137, 108749, 15 p., https://doi.org/10.1016/j.fsi.2023.108749.","productDescription":"108749, 15 p.","ipdsId":"IP-145799","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":417639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ma, Jie","contributorId":306013,"corporation":false,"usgs":false,"family":"Ma","given":"Jie","email":"","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trushenski, Jesse T.","contributorId":306014,"corporation":false,"usgs":false,"family":"Trushenski","given":"Jesse","email":"","middleInitial":"T.","affiliations":[{"id":66347,"text":"Riverence Holdings LLC, 604 W Franklin Street, Boise, ID 83702, USA","active":true,"usgs":false}],"preferred":false,"id":874403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Evan M.","contributorId":306015,"corporation":false,"usgs":false,"family":"Jones","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, Timothy J.","contributorId":306016,"corporation":false,"usgs":false,"family":"Bruce","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenney, Doug G. 0000-0003-3565-7670","orcid":"https://orcid.org/0000-0003-3565-7670","contributorId":306017,"corporation":false,"usgs":false,"family":"McKenney","given":"Doug G.","affiliations":[{"id":66349,"text":"Previously, USGS, Western Fisheries Research Center, Seattle, WA 98115, USA","active":true,"usgs":false}],"preferred":false,"id":874406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cain, Kenneth D.","contributorId":306018,"corporation":false,"usgs":false,"family":"Cain","given":"Kenneth D.","affiliations":[{"id":66346,"text":"Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, ID 83844, USA","active":true,"usgs":false}],"preferred":false,"id":874408,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255036,"text":"70255036 - 2023 - Investing in a nest egg: Intraspecific variation in the timing of egg laying across a latitudinal gradient","interactions":[],"lastModifiedDate":"2024-06-12T22:41:21.957647","indexId":"70255036","displayToPublicDate":"2023-04-17T17:39:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Investing in a nest egg: Intraspecific variation in the timing of egg laying across a latitudinal gradient","docAbstract":"<p><span>Avian reproductive strategies vary widely, and many studies of life-history variation have focused on the incubation and hatching stages of nesting. Birds make proximate decisions regarding reproductive investment during the laying stage, and these decisions likely constrain and tradeoff with other traits and subsequent behaviors. However, we know relatively little about egg-laying stage behaviors given the difficulty of locating and monitoring nest sites from the onset of laying. We used non-invasive continuous video recording to quantify variation in the egg-laying behaviors of burrowing owls (</span><i>Athene cunicularia)</i><span>&nbsp;along a 1400-km latitudinal gradient in western North America. Burrowing owls laid eggs disproportionately in the morning hours, and that tendency was strongest among first eggs in a clutch. However, selection appeared to act more strongly on laying intervals (the time between laying of consecutive eggs) than on the diel time of laying, and laying intervals varied widely among and within clutches. Laying intervals declined seasonally and with increasing clutch size but increased with increasing burrow temperature and as a function of laying stage nest attentiveness, which may be a strategy to preserve egg viability. Laying interval was positively correlated with the duration of hatching intervals, suggesting that laying interval duration is one mechanism (along with timing of incubation onset) that generates variation in hatching asynchrony. Our results lend support to two general hypotheses to explain laying schedules; selection favors laying eggs in the morning, but other selective pressures may override that pattern. These conclusions indicate that allocation decisions during laying are an important part of avian life-history strategies which are subject to energetic constraints and tradeoffs with other traits.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05373-2","usgsCitation":"Lundblad, C., and Conway, C.J., 2023, Investing in a nest egg: Intraspecific variation in the timing of egg laying across a latitudinal gradient: Oecologia, v. 202, p. 83-96, https://doi.org/10.1007/s00442-023-05373-2.","productDescription":"14 p.","startPage":"83","endPage":"96","ipdsId":"IP-149162","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"202","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":287176,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":903204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243044,"text":"70243044 - 2023 - Coordinating science during an eruption: Lessons from the 2020–2021 Kīlauea volcanic eruption","interactions":[],"lastModifiedDate":"2023-04-27T12:09:14.397858","indexId":"70243044","displayToPublicDate":"2023-04-14T07:06:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Coordinating science during an eruption: Lessons from the 2020–2021 Kīlauea volcanic eruption","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Data collected during well-observed eruptions can lead to dramatic increases in our understanding of volcanic processes. However, the necessary prioritization of public safety and hazard mitigation during a crisis means that scientific opportunities may be sacrificed. Thus, maximizing the scientific gains from eruptions requires improved planning and coordinating science activities among governmental organizations and academia before and during volcanic eruptions. One tool to facilitate this coordination is a Scientific Advisory Committee (SAC). In the USA, the Community Network for Volcanic Eruption Response (CONVERSE) has been developing and testing this concept during workshops and scenario-based activities. The December 2020 eruption of Kīlauea volcano, Hawaii, provided an opportunity to test and refine this model in real-time and in a real-world setting. We present here the working model of a SAC developed during this eruption. Successes of the Kīlauea SAC (K-SAC) included broadening the pool of scientists involved in eruption response and developing and codifying procedures that may form the basis of operation for future SACs. Challenges encountered by the K-SAC included a process of review and facilitation of research proposals that was too slow to include outside participation in the early parts of the eruption and a decision process that fell on a small number of individuals at the responding volcano observatory. Possible ways to address these challenges include (1) supporting community-building activities between eruptions that make connections among scientists within and outside formal observatories, (2) identifying key science questions and pre-planning science activities, which would facilitate more rapid implementation across a broader scientific group, and (3) continued dialog among observatory scientists, emergency responders, and non-observatory scientists about the role of SACs. The SAC model holds promise to become an integral part of future efforts, leading in the short and longer term to more effective hazard response and greater scientific discovery and understanding.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-023-01644-1","usgsCitation":"Cooper, K., Anderson, K.R., Cashman, K., Coombs, M.L., Dietterich, H., Fischer, T., Houghton, B.F., Johanson, I.A., Lynn, K.J., Manga, M., and Wauthier, C., 2023, Coordinating science during an eruption: Lessons from the 2020–2021 Kīlauea volcanic eruption: Bulletin of Volcanology, v. 85, 29, 13 p., https://doi.org/10.1007/s00445-023-01644-1.","productDescription":"29, 13 p.","ipdsId":"IP-143233","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":443854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-023-01644-1","text":"Publisher Index Page"},{"id":416433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.39072721010044,\n              19.500512921908012\n            ],\n            [\n              -155.39072721010044,\n              19.207814708187342\n            ],\n            [\n              -155.00637106037848,\n              19.207814708187342\n            ],\n            [\n              -155.00637106037848,\n              19.500512921908012\n            ],\n            [\n              -155.39072721010044,\n              19.500512921908012\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"85","noUsgsAuthors":false,"publicationDate":"2023-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cooper, Kari M.","contributorId":304521,"corporation":false,"usgs":false,"family":"Cooper","given":"Kari M.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":870784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":870785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, Kathy","contributorId":304522,"corporation":false,"usgs":false,"family":"Cashman","given":"Kathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":870786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":870787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":870788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischer, Tobias","contributorId":267762,"corporation":false,"usgs":false,"family":"Fischer","given":"Tobias","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":870789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":870790,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":870791,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":870792,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":870793,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wauthier, Christelle","contributorId":176224,"corporation":false,"usgs":false,"family":"Wauthier","given":"Christelle","email":"","affiliations":[],"preferred":false,"id":870794,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70256534,"text":"70256534 - 2023 - Fish functional gradients along a reservoir cascade","interactions":[],"lastModifiedDate":"2024-08-02T16:36:38.420567","indexId":"70256534","displayToPublicDate":"2023-04-12T11:22:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fish functional gradients along a reservoir cascade","docAbstract":"<p>1.The transformations of fish assemblages caused by reservoir cascades can be severe at the reach scale, but basin-scale effects are less clear. However, prevailing river concepts provide a framework for predicting basin-scale effects. 2. To determine if predictions made by the River Continuum Concept relative to the function of fish assemblages are sustained in a temperate river transformed into a reservoir cascade, we examined longitudinal trends in the distribution of fish functional traits over 23 reservoirs of the Tennessee River, USA. 3. In all, 115 species were recorded representing 62 traits, with trait richness increasing longitudinally in a downstream direction. Trophic, reproductive, and habitat traits showed various increasing and decreasing patterns up and down the reservoir cascade. The observed gradients in trait richness and trait distributions were generally consistent with those expected in unregulated rivers, with few unexpected results. 4. The transformation of lotic systems into lentic ones has changed habitats and sources of food and encouraged the proliferation of certain feeding (e.g., detritivores, planktivores, invertivores, piscivores), reproduction (e.g., nest spawners polyphils, broadcast spawners phytolithophils), and habitat (slow current, lacustrine, large river) traits. In essence, reservoirs have expanded downstream habitats in an upstream direction, and thus allowed upstream expansion of species and traits that would have normally not been well represented in upper reaches of the Tennessee River basin. Nevertheless, the impounded Tennessee River has maintained much of its functional integrity, despite extensive alterations to the riverscape. 5. We suggest that while reservoirs have been shown to have major local-scale effects on riverine fish assemblages, with access to riverine habitats, and with proactive conservation strategies, fish functional richness can remain remarkably high at the basin scale. </p>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14087","usgsCitation":"Besson, J.C., Neary, J.J., Stafford, J., Dunn, C.G., and Miranda, L.E., 2023, Fish functional gradients along a reservoir cascade: Freshwater Biology, v. 68, no. 6, p. 1079-1091, https://doi.org/10.1111/fwb.14087.","productDescription":"13 p.","startPage":"1079","endPage":"1091","ipdsId":"IP-142910","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498281,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.14087","text":"Publisher Index Page"},{"id":432155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, North Carolina, South Carolina, Tennesee","otherGeospatial":"Tennessee River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.89909317516306,\n              37.08146306933972\n            ],\n            [\n              -88.89909317516306,\n              34.317119493225874\n            ],\n            [\n              -81.70418356025009,\n              34.317119493225874\n            ],\n            [\n              -81.70418356025009,\n              37.08146306933972\n            ],\n            [\n              -88.89909317516306,\n              37.08146306933972\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"68","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Besson, Jordan C.","contributorId":341047,"corporation":false,"usgs":false,"family":"Besson","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neary, Joshua J.","contributorId":341048,"corporation":false,"usgs":false,"family":"Neary","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D.","contributorId":341049,"corporation":false,"usgs":false,"family":"Stafford","given":"Joshua D.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907855,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242901,"text":"70242901 - 2023 - Coupling large-spatial scale larval dispersal modelling with barcoding to refine the amphi-Atlantic connectivity hypothesis in deep-sea seep mussels","interactions":[],"lastModifiedDate":"2023-04-21T11:43:51.591272","indexId":"70242901","displayToPublicDate":"2023-04-12T06:41:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Coupling large-spatial scale larval dispersal modelling with barcoding to refine the amphi-Atlantic connectivity hypothesis in deep-sea seep mussels","docAbstract":"<div class=\"JournalAbstract\"><p>In highly fragmented and relatively stable cold-seep ecosystems, species are expected to exhibit high migration rates and long-distance dispersal of long-lived pelagic larvae to maintain genetic integrity over their range. Accordingly, several species inhabiting cold seeps are widely distributed across the whole Atlantic Ocean, with low genetic divergence between metapopulations on both sides of the Atlantic Equatorial Belt (AEB, i.e. Barbados and African/European margins). Two hypotheses may explain such patterns: (i) the occurrence of present-day gene flow or (ii) incomplete lineage sorting due to large population sizes and low mutation rates. Here, we evaluated the first hypothesis using the cold seep mussels<span>&nbsp;</span><i>Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae</i><span>&nbsp;</span>and<span>&nbsp;</span><i>B. boomerang</i>. We combined COI barcoding of 763 individuals with VIKING20X larval dispersal modelling at a large spatial scale not previously investigated. Population genetics supported the parallel evolution of<span>&nbsp;</span><i>Gigantidas</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Bathymodiolus</i><span>&nbsp;</span>genera in the Atlantic Ocean and the occurrence of a 1-3 Million-year-old vicariance effect that isolated populations across the Caribbean Sea. Both population genetics and larval dispersal modelling suggested that contemporary gene flow and larval exchanges are possible across the AEB and the Caribbean Sea, although probably rare. When occurring, larval flow was eastward (AEB - only for<span>&nbsp;</span><i>B. boomerang</i>) or northward (Caribbean Sea - only for<span>&nbsp;</span><i>G. mauritanicus</i>). Caution is nevertheless required since we focused on only one mitochondrial gene, which may underestimate gene flow if a genetic barrier exists. Non-negligible genetic differentiation occurred between Barbados and African populations, so we could not discount the incomplete lineage sorting hypothesis. Larval dispersal modelling simulations supported the genetic findings along the American coast with high amounts of larval flow between the Gulf of Mexico (GoM) and the US Atlantic Margin, although the Blake Ridge population of<span>&nbsp;</span><i>B. heckerae</i><span>&nbsp;</span>appeared genetically differentiated. Overall, our results suggest that additional studies using nuclear genetic markers and population genomics approaches are needed to clarify the evolutionary history of the Atlantic bathymodioline mussels and to distinguish between ongoing and past processes.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2023.1122124","usgsCitation":"Portanier, E., Nicolle, A., Rath, W., Monnet, L., Le Goff, G., Le Port, A., Daguin-Thiebaut, C., Morrison, C., Cunha, M., Betters, M., Young, C.M., Van Dover, C., Biastoch, A., Thiebaut, E., and Jollivet, D., 2023, Coupling large-spatial scale larval dispersal modelling with barcoding to refine the amphi-Atlantic connectivity hypothesis in deep-sea seep mussels: Frontiers in Marine Science, v. 10, 1122124, 29 p., https://doi.org/10.3389/fmars.2023.1122124.","productDescription":"1122124, 29 p.","ipdsId":"IP-147936","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1122124","text":"Publisher Index Page"},{"id":416110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2023-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Portanier, Elodie","contributorId":304320,"corporation":false,"usgs":false,"family":"Portanier","given":"Elodie","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicolle, A.","contributorId":304321,"corporation":false,"usgs":false,"family":"Nicolle","given":"A.","email":"","affiliations":[{"id":66025,"text":"École nationale supérieure de techniques avancées (ENSTA) Bretagne, Pôle STIC/HOP, Brest, France","active":true,"usgs":false}],"preferred":false,"id":870140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rath, W.","contributorId":304322,"corporation":false,"usgs":false,"family":"Rath","given":"W.","email":"","affiliations":[{"id":62473,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":870141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monnet, L.","contributorId":304323,"corporation":false,"usgs":false,"family":"Monnet","given":"L.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Goff, G.","contributorId":304324,"corporation":false,"usgs":false,"family":"Le Goff","given":"G.","email":"","affiliations":[{"id":66025,"text":"École nationale supérieure de techniques avancées (ENSTA) Bretagne, Pôle STIC/HOP, Brest, France","active":true,"usgs":false}],"preferred":false,"id":870143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le Port, A.-S.","contributorId":304325,"corporation":false,"usgs":false,"family":"Le Port","given":"A.-S.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daguin-Thiebaut, C.","contributorId":304326,"corporation":false,"usgs":false,"family":"Daguin-Thiebaut","given":"C.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":239844,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":870146,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cunha, M.R.","contributorId":304327,"corporation":false,"usgs":false,"family":"Cunha","given":"M.R.","email":"","affiliations":[{"id":66026,"text":"Department of Biology, University of Aveiro, 3810-193, Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":870147,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Betters, M.","contributorId":304328,"corporation":false,"usgs":false,"family":"Betters","given":"M.","affiliations":[{"id":66027,"text":"Department of Biology, Temple University, Philadelphia, Pennsylvania, USA","active":true,"usgs":false}],"preferred":false,"id":870148,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Young, Craig M.","contributorId":304329,"corporation":false,"usgs":false,"family":"Young","given":"Craig","email":"","middleInitial":"M.","affiliations":[{"id":66028,"text":"Oregon Institute of Marine Biology, University of Oregon, Eugene, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":870149,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Van Dover, Cindy L.","contributorId":304330,"corporation":false,"usgs":false,"family":"Van Dover","given":"Cindy L.","affiliations":[{"id":66029,"text":"Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University, Beaufort, NC, USA","active":true,"usgs":false}],"preferred":false,"id":870150,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Biastoch, A.","contributorId":304332,"corporation":false,"usgs":false,"family":"Biastoch","given":"A.","email":"","affiliations":[{"id":62473,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":870151,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thiebaut, E.","contributorId":304333,"corporation":false,"usgs":false,"family":"Thiebaut","given":"E.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870152,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jollivet, Didier","contributorId":304334,"corporation":false,"usgs":false,"family":"Jollivet","given":"Didier","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870153,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70257317,"text":"70257317 - 2023 - Estimates of predator densities using mobile DIDSON surveys: Implications for survival of Central Valley Chinook Salmon","interactions":[],"lastModifiedDate":"2024-08-28T15:48:16.370501","indexId":"70257317","displayToPublicDate":"2023-04-11T10:32:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of predator densities using mobile DIDSON surveys: Implications for survival of Central Valley Chinook Salmon","docAbstract":"<p><span>The Sacramento–San Joaquin Delta (hereafter, “the Delta”) is one of the estuaries with the most invasive species in the world, and nonnative predators may be a major factor in the observed decline of Central Valley Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>&nbsp;over recent decades. In order for managers to take actions that might reduce predation-related mortality for these ecologically, culturally, and economically valuable fish, it is important to understand the factors influencing the distribution and abundance of piscivores in the Delta. In this study, we used a dual-frequency identification sonar (i.e., DIDSON) to conduct mobile surveys to quantify the abundances of piscivores in the Delta. We then used these data to identify the habitat features that are correlated with the abundance of piscivores. Prior to conducting the surveys, we used DIDSON data from captured fish to develop an algorithm to distinguish piscivores from nonpiscivores with high confidence (98% accuracy). A generalized linear mixed-effects model fit to these survey data indicated that predator abundances were most associated with areas of increased submerged aquatic vegetation patches, and channels&nbsp;that are straighter, with increased bathymetric complexity. When applied to the entire survey area, this model was successfully able to predict known areas of high predator densities. These results indicate that one approach to reduce predator densities in key locations throughout the Delta, and improve juvenile salmonid outmigration survival, is to reduce the extent of invasive submerged aquatic vegetation. Because experimental predator removals have been largely ineffective in the Delta, efforts to manipulate habitat to discourage nonnative predator recruitment and favor native species recruitment may provide a more effective solution to improve salmonid survival rates.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10873","usgsCitation":"Henderson, M., Loomis, C., Michel, C., Smith, J., Iglesias, I., Lehman, B., and Huff, D., 2023, Estimates of predator densities using mobile DIDSON surveys: Implications for survival of Central Valley Chinook Salmon: North American Journal of Fisheries Management, v. 43, no. 3, p. 628-645, https://doi.org/10.1002/nafm.10873.","productDescription":"18 p.","startPage":"628","endPage":"645","ipdsId":"IP-145482","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":443880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10873","text":"Publisher Index Page"},{"id":433250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122,\n              38.5\n            ],\n            [\n              -122,\n              37.25\n            ],\n            [\n              -121,\n              37.25\n            ],\n            [\n              -121,\n              38.5\n            ],\n            [\n              -122,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":909952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loomis, Chris","contributorId":342274,"corporation":false,"usgs":false,"family":"Loomis","given":"Chris","email":"","affiliations":[{"id":26936,"text":"Humbolt State University","active":true,"usgs":false}],"preferred":false,"id":909953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Cyril","contributorId":342275,"corporation":false,"usgs":false,"family":"Michel","given":"Cyril","affiliations":[{"id":81849,"text":"NOAA-SWFSC Fisheries Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joe","contributorId":342276,"corporation":false,"usgs":false,"family":"Smith","given":"Joe","affiliations":[{"id":81850,"text":"NOAA-NWFSC Fish Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iglesias, Ilysa","contributorId":342277,"corporation":false,"usgs":false,"family":"Iglesias","given":"Ilysa","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":909956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehman, Brendan","contributorId":342279,"corporation":false,"usgs":false,"family":"Lehman","given":"Brendan","affiliations":[{"id":81849,"text":"NOAA-SWFSC Fisheries Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huff, David","contributorId":342281,"corporation":false,"usgs":false,"family":"Huff","given":"David","affiliations":[{"id":81850,"text":"NOAA-NWFSC Fish Ecology Division","active":true,"usgs":false}],"preferred":false,"id":909958,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243983,"text":"70243983 - 2023 - Using neutral landscape models to evaluate the umbrella species concept in an ecotone","interactions":[],"lastModifiedDate":"2023-05-30T14:51:00.989431","indexId":"70243983","displayToPublicDate":"2023-04-11T09:36:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using neutral landscape models to evaluate the umbrella species concept in an ecotone","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>Steep declines in North American rangeland biodiversity have prompted researchers and managers to use umbrella species as a tool to manage diverse suites of co-occurring wildlife, but efficacy of this method has been variable. Evaluation of prairie and shrubland grouse as umbrellas is typically restricted to observed overlap between umbrella and background species, but this approach does not distinguish between overlap due to ubiquity or niche overlap.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>We demonstrate a novel application of neutral landscape models (NLMs) to test the effectiveness of greater sage-grouse (<i>Centrocercus urophasianus</i>) as an umbrella species for grassland songbirds at a grassland-sagebrush ecotone in northeastern Wyoming, USA.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We leveraged existing spatial data representing sage-grouse habitat in two distinct seasons (nesting and late brood-rearing) and density and distribution of eight grassland songbirds. We applied a permutation-based analysis using NLMs to determine whether overlap between background species and greater sage-grouse was greater than expected by chance.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Three species (western meadowlark<span>&nbsp;</span><i>Sturnella neglecta</i>, loggerhead shrike<span>&nbsp;</span><i>Lanius ludovicianus</i>, and lark bunting<span>&nbsp;</span><i>Calamospiza melanocorys</i>) had greater overlap than expected with at least one type of greater sage-grouse habitat, while western kingbirds (<i>Tyrannus verticalis</i>) indicated avoidance of all sage-grouse habitat assessed.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>NLMs provided a more nuanced evaluation of the umbrella species concept than previously available and allowed us to differentiate between overlap due to ubiquity (e.g., vesper sparrow;<span>&nbsp;</span><i>Pooecetes gramineus</i>) rather than overlap in habitat use. All grassland passerine species with greater than expected overlap with sage-grouse habitat either nest in sagebrush (loggerhead shrike) or often select nest locations underneath small shrubs (western meadowlark, lark bunting). These results indicate that nesting substrate is a potential niche axis to consider when evaluating the umbrella species concept, especially within sagebrush-grassland ecotones.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-022-01586-7","usgsCitation":"Duchardt, C.J., Monroe, A., Edmunds, D.R., Holloran, M.J., Holloran, A.G., and Aldridge, C.L., 2023, Using neutral landscape models to evaluate the umbrella species concept in an ecotone: Landscape Ecology, v. 38, p. 1447-1462, https://doi.org/10.1007/s10980-022-01586-7.","productDescription":"16 p.","startPage":"1447","endPage":"1462","ipdsId":"IP-135208","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435377,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MLURH7","text":"USGS data release","linkHelpText":"A neutral landscape approach to evaluating the umbrella species concept for greater sage-grouse in northeast Wyoming, USA"},{"id":417531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.00304481605505,\n              44.99130028797805\n            ],\n            [\n              -111.00304481605505,\n              40.92596776661196\n            ],\n            [\n              -104.05240845017104,\n              40.92596776661196\n            ],\n            [\n              -104.05240845017104,\n              44.99130028797805\n            ],\n            [\n              -111.00304481605505,\n              44.99130028797805\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Duchardt, Courtney J. 0000-0003-4563-0199","orcid":"https://orcid.org/0000-0003-4563-0199","contributorId":239754,"corporation":false,"usgs":false,"family":"Duchardt","given":"Courtney","middleInitial":"J.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":874007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":874008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":874009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holloran, Matthew James 0000-0001-5244-770X","orcid":"https://orcid.org/0000-0001-5244-770X","contributorId":305854,"corporation":false,"usgs":true,"family":"Holloran","given":"Matthew","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":874010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloran, Alison G.","contributorId":305855,"corporation":false,"usgs":false,"family":"Holloran","given":"Alison","email":"","middleInitial":"G.","affiliations":[{"id":51369,"text":"Audubon Rockies","active":true,"usgs":false}],"preferred":false,"id":874011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":874012,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242670,"text":"70242670 - 2023 - Climate change and the global redistribution of biodiversity: Substantial variation in empirical support for expected range shifts","interactions":[],"lastModifiedDate":"2023-04-12T11:52:12.574367","indexId":"70242670","displayToPublicDate":"2023-04-11T06:50:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14239,"text":"Journal of Environmental Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and the global redistribution of biodiversity: Substantial variation in empirical support for expected range shifts","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Among the most widely predicted climate change-related impacts to biodiversity are geographic range shifts, whereby species shift their spatial distribution to track their climate niches. A series of commonly articulated hypotheses have emerged in the scientific literature suggesting species are expected to shift their distributions to higher latitudes, greater elevations, and deeper depths in response to rising temperatures associated with climate change. Yet, many species are not demonstrating range shifts consistent with these expectations. Here, we evaluate the impact of anthropogenic climate change (specifically, changes in temperature and precipitation) on species’ ranges, and assess whether expected range shifts are supported by the body of empirical evidence.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We conducted a Systematic Review, searching online databases and search engines in English. Studies were screened in a two-stage process (title/abstract review, followed by full-text review) to evaluate whether they met a list of eligibility criteria. Data coding, extraction, and study validity assessment was completed by a team of trained reviewers and each entry was validated by at least one secondary reviewer. We used logistic regression models to assess whether the direction of shift supported common range-shift expectations (i.e., shifts to higher latitudes and elevations, and deeper depths). We also estimated the magnitude of shifts for the subset of available range-shift data expressed in distance per time (i.e., km/decade). We accounted for methodological attributes at the study level as potential sources of variation. This allowed us to answer two questions: (1) are most species shifting in the direction we expect (i.e., each observation is assessed as support/fail to support our expectation); and (2) what is the average speed of range shifts?</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Review findings</h3><p>We found that less than half of all range-shift observations (46.60%) documented shifts towards higher latitudes, higher elevations, and greater marine depths, demonstrating significant variation in the empirical evidence for general range shift expectations. For the subset of studies looking at range shift rates, we found that species demonstrated significant average shifts towards higher latitudes (average = 11.8&nbsp;km/dec) and higher elevations (average = 9&nbsp;m/dec), although we failed to find significant evidence for shifts to greater marine depths. We found that methodological factors in individual range-shift studies had a significant impact on the reported direction and magnitude of shifts. Finally, we identified important variation across dimensions of range shifts (e.g., greater support for latitude and elevation shifts than depth), parameters (e.g., leading edge shifts faster than trailing edge for latitude), and taxonomic groups (e.g., faster latitudinal shifts for insects than plants).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Despite growing evidence that species are shifting their ranges in response to climate change, substantial variation exists in the extent to which definitively empirical observations confirm these expectations. Even though on average, rates of shift show significant movement to higher elevations and latitudes for many taxa, most species are not shifting in expected directions. Variation across dimensions and parameters of range shifts, as well as differences across taxonomic groups and variation driven by methodological factors, should be considered when assessing overall confidence in range-shift hypotheses. In order for managers to effectively plan for species redistribution, we need to better account for and predict which species will shift and by how much. The dataset produced for this analysis can be used for future research to explore additional hypotheses to better understand species range shifts.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-023-00296-0","usgsCitation":"Rubenstein, M.A., Weiskopf, S.R., Bertrand, R., Carter, S., Comte, L., Eaton, M.J., Johnson, C.G., Lenoir, J., Lynch, A., Miller, B.W., Morelli, T.L., Rodriguez, M.A., Terando, A., and Thompson, L., 2023, Climate change and the global redistribution of biodiversity: Substantial variation in empirical support for expected range shifts: Journal of Environmental Evidence, v. 12, 7, 21 p., https://doi.org/10.1186/s13750-023-00296-0.","productDescription":"7, 21 p.","ipdsId":"IP-138082","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":443888,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-023-00296-0","text":"Publisher Index Page"},{"id":435380,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99VP2TW","text":"USGS data release","linkHelpText":"CoRE (Contractions or Range Expansions) Database: Global Database of Species Range Shifts from 1802-2019"},{"id":415647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertrand, Romain","contributorId":304118,"corporation":false,"usgs":false,"family":"Bertrand","given":"Romain","email":"","affiliations":[{"id":65973,"text":"Universitéde Toulouse 3, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":869280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Shawn 0000-0002-0045-4681","orcid":"https://orcid.org/0000-0002-0045-4681","contributorId":216490,"corporation":false,"usgs":true,"family":"Carter","given":"Shawn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comte, Lise","contributorId":304119,"corporation":false,"usgs":false,"family":"Comte","given":"Lise","email":"","affiliations":[{"id":65974,"text":"College of Arts and Sciences, Illinois State University","active":true,"usgs":false}],"preferred":false,"id":869282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":869283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Ciara G.","contributorId":271273,"corporation":false,"usgs":false,"family":"Johnson","given":"Ciara","email":"","middleInitial":"G.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":869284,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lenoir, Jonathan","contributorId":167876,"corporation":false,"usgs":false,"family":"Lenoir","given":"Jonathan","email":"","affiliations":[{"id":24849,"text":"Université de Picardie Jules Verne","active":true,"usgs":false}],"preferred":false,"id":869285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":216203,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869286,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":869287,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869288,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rodriguez, Mari Angel 0000-0002-3372-1897","orcid":"https://orcid.org/0000-0002-3372-1897","contributorId":224776,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Mari","email":"","middleInitial":"Angel","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":869289,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":869290,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869291,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70242698,"text":"70242698 - 2023 - Using the potassium-argon laser experiment (KArLE) to date ancient, low-K chondritic meteorites","interactions":[],"lastModifiedDate":"2023-04-13T12:27:11.289324","indexId":"70242698","displayToPublicDate":"2023-04-10T07:24:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5996,"text":"Meteoritics & Planetary Science (MAPS)","active":true,"publicationSubtype":{"id":10}},"title":"Using the potassium-argon laser experiment (KArLE) to date ancient, low-K chondritic meteorites","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Several laboratories have been investigating the feasibility of in&nbsp;situ K-Ar dating for use in future landing planetary missions. One drawback of these laboratory demonstrations is the insufficient analogy of the analyzed analog samples with expected future targets. We present the results obtained using the K-Ar laser experiment (KArLE) on two old and K-poor chondritic samples, Pułtusk and Hvittis, as better lunar analogs. The KArLE instrument uses laser ablation to vaporize rock samples and quantifies K content by laser-induced breakdown spectroscopy (LIBS), Ar by quadrupole mass spectrometry (QMS), and ablated mass by laser profilometry. We performed 64 laser ablations on the chondrites to measure spots with a range of K<sub>2</sub>O and Ar content and used the data to construct isochrons to determine the chondrite formation age. The KArLE isochron ages on Pułtusk and Hvittis are 5059 ± 892 Ma and 4721 ± 793 Ma, respectively, which is within the uncertainty of published reference ages, and interpreted as the age of their formation. The uncertainty (2<i>σ</i>) on the KArLE ages obtained in this study is better than 20% (18% for Pułtusk and 17% for Hvittis). The precision, which compares our obtained ages to the reference ages, is also better than 20% (11% for Pułtusk and 4% for Hvittis). These results are encouraging for understanding the limits of this technique to measure ancient planetary samples and for guiding future improvements to the instrument.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/maps.13960","usgsCitation":"Cattani, F., Cohen, B.A., Mercer, C.M., and Dahl, A.J., 2023, Using the potassium-argon laser experiment (KArLE) to date ancient, low-K chondritic meteorites: Meteoritics & Planetary Science (MAPS), v. 58, no. 4, p. 591-611, https://doi.org/10.1111/maps.13960.","productDescription":"21 p.","startPage":"591","endPage":"611","ipdsId":"IP-142183","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":443903,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/maps.13960","text":"Publisher Index Page"},{"id":415707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cattani, Fanny","contributorId":304135,"corporation":false,"usgs":false,"family":"Cattani","given":"Fanny","email":"","affiliations":[{"id":65981,"text":"NASA Goddard Space Flight Center, Code 698, Planetary Geology, Geophysics, and Geochemistry Laboratory; Department of Physics, The Catholic University of America","active":true,"usgs":false}],"preferred":false,"id":869398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Barbara A. 0000-0001-5896-5903","orcid":"https://orcid.org/0000-0001-5896-5903","contributorId":229582,"corporation":false,"usgs":false,"family":"Cohen","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":41678,"text":"Solar System Exploration Division, NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":869399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":869401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahl, Agnes J.","contributorId":304136,"corporation":false,"usgs":false,"family":"Dahl","given":"Agnes","email":"","middleInitial":"J.","affiliations":[{"id":65982,"text":"University of Gothenburg, Department of Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":869400,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}