{"pageNumber":"479","pageRowStart":"11950","pageSize":"25","recordCount":184812,"records":[{"id":70223134,"text":"70223134 - 2021 - Pore pressure threshold and fault slip potential for induced earthquakes in the Dallas-Fort Worth area of north central Texas","interactions":[],"lastModifiedDate":"2021-08-12T13:08:08.386264","indexId":"70223134","displayToPublicDate":"2021-08-02T08:06:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pore pressure threshold and fault slip potential for induced earthquakes in the Dallas-Fort Worth area of north central Texas","docAbstract":"<div class=\"article-section__content en main\"><p>Earthquakes were induced in the Fort Worth Basin from 2008 through 2020 by increase in pore pressure from injection of oilfield wastewater (SWD). In this region and elsewhere, a missing link in understanding the mechanics of causation has been a lack of comprehensive models of pore pressure evolution (ΔPp) from SWD. We integrate detailed earthquake catalogs, ΔPp, and probabilistic fault slip potential (FSP) and find that faults near large-scale SWD operations became unstable early, when ΔPp reached ∼0.31&nbsp;MPa and FSP reached 0.24. Faults farther from SWD became unstable later, when FSP reached 0.17 and at much smaller ΔPp. Earthquake sequences reactivated with mean ΔPp of ∼0.05&nbsp;MPa. The response of faults shows strong variability, with many remaining stable at higher ΔPp and few that became seismogenic at smaller changes. As ΔPp spread regionally, an ever-increasing number of faults were impacted and the most sensitive became unstable.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL093564","usgsCitation":"Hennings, P.H., Nicot, J., Gao, R.S., DeShon, H.R., Lundstern, J., Morris, A.P., Brudzinski, M.R., Horne, E.A., and Breton, C., 2021, Pore pressure threshold and fault slip potential for induced earthquakes in the Dallas-Fort Worth area of north central Texas: Geophysical Research Letters, v. 48, no. 15, e2021GL093564, 9 p., https://doi.org/10.1029/2021GL093564.","productDescription":"e2021GL093564, 9 p.","ipdsId":"IP-119958","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":387900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Dallas-Fort Worth area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.0859375,\n              32.01739159980399\n            ],\n            [\n              -95.47119140625,\n              32.01739159980399\n            ],\n            [\n              -95.47119140625,\n              33.696922692957685\n            ],\n            [\n              -98.0859375,\n              33.696922692957685\n            ],\n            [\n              -98.0859375,\n              32.01739159980399\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Hennings, Peter H. 0000-0002-1714-4997","orcid":"https://orcid.org/0000-0002-1714-4997","contributorId":264183,"corporation":false,"usgs":false,"family":"Hennings","given":"Peter","email":"","middleInitial":"H.","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":821082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicot, J.P.","contributorId":264184,"corporation":false,"usgs":false,"family":"Nicot","given":"J.P.","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":821083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, Rebecca S. 0000-0002-1047-0087","orcid":"https://orcid.org/0000-0002-1047-0087","contributorId":264187,"corporation":false,"usgs":false,"family":"Gao","given":"Rebecca","email":"","middleInitial":"S.","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":821084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeShon, Heather R.","contributorId":244313,"corporation":false,"usgs":false,"family":"DeShon","given":"Heather","email":"","middleInitial":"R.","affiliations":[{"id":20301,"text":"SMU","active":true,"usgs":false}],"preferred":false,"id":821085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundstern, Jens-Erik 0000-0003-0000-8013","orcid":"https://orcid.org/0000-0003-0000-8013","contributorId":264189,"corporation":false,"usgs":true,"family":"Lundstern","given":"Jens-Erik","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":821086,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morris, Alan P.","contributorId":264190,"corporation":false,"usgs":false,"family":"Morris","given":"Alan","email":"","middleInitial":"P.","affiliations":[{"id":54399,"text":"Alan Morris Consulting","active":true,"usgs":false}],"preferred":false,"id":821087,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brudzinski, Michael R. 0000-0003-1869-0700","orcid":"https://orcid.org/0000-0003-1869-0700","contributorId":207880,"corporation":false,"usgs":false,"family":"Brudzinski","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":821088,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Horne, Elizabeth A. 0000-0002-6510-2169","orcid":"https://orcid.org/0000-0002-6510-2169","contributorId":264192,"corporation":false,"usgs":false,"family":"Horne","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":821089,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Breton, Caroline","contributorId":264193,"corporation":false,"usgs":false,"family":"Breton","given":"Caroline","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":821090,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222536,"text":"70222536 - 2021 - Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView satellite imagery, aerial imagery, and field surveys","interactions":[],"lastModifiedDate":"2021-08-03T12:28:04.649539","indexId":"70222536","displayToPublicDate":"2021-08-02T07:27:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView satellite imagery, aerial imagery, and field surveys","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Shoreline change analysis is an important environmental monitoring tool for evaluating coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal wetlands where habitat loss is problematic world-wide. The increasing availability of high-resolution satellite imagery and emerging developments in analysis techniques support the implementation of these data into shoreline monitoring. Geospatial shoreline data created from a semi-automated methodology using WorldView (WV) satellite data between 2013 and 2020 were compared to contemporaneous field-surveyed Global Position System (GPS) data. WV-derived shorelines were found to have a mean difference of 2 ± 0.08 m of GPS data, but accuracy decreased at high-wave energy shorelines that were unvegetated, bordered by sandy beach or semi-submergent sand bars. Shoreline change rates calculated from WV imagery were comparable to those calculated from GPS surveys and geospatial data derived from aerial remote sensing but tended to overestimate shoreline erosion at highly erosive locations (greater than 2 m yr<sup>−1</sup>). High-resolution satellite imagery can increase the spatial scale-range of shoreline change monitoring, provide rapid response to estimate impacts of coastal erosion, and reduce cost of labor-intensive practices.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs13153030","usgsCitation":"Smith, K., Terrano, J.F., Pitchford, J.L., and Archer, M., 2021, Coastal wetland shoreline change monitoring: A comparison of shorelines from high-resolution WorldView satellite imagery, aerial imagery, and field surveys: Remote Sensing, v. 13, no. 15, 3030, 19 p., https://doi.org/10.3390/rs13153030.","productDescription":"3030, 19 p.","ipdsId":"IP-130695","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451302,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13153030","text":"Publisher Index Page"},{"id":436254,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W8TNQM","text":"USGS data release","linkHelpText":"Shorelines from High-resolution WorldView Satellite Imagery, Real-time Kinematic Global Positioning Data, and Aerial Imagery for 2013 to 2020 for Study Sites Within Grand Bay National Estuarine Research Reserve, Mississippi"},{"id":387647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terrano, Joseph F. 0000-0003-3060-7682 jterrano@usgs.gov","orcid":"https://orcid.org/0000-0003-3060-7682","contributorId":173263,"corporation":false,"usgs":true,"family":"Terrano","given":"Joseph","email":"jterrano@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitchford, Jonathan L 0000-0003-1168-5087","orcid":"https://orcid.org/0000-0003-1168-5087","contributorId":260687,"corporation":false,"usgs":false,"family":"Pitchford","given":"Jonathan","email":"","middleInitial":"L","affiliations":[{"id":52643,"text":"Grand Bay National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":820494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archer, Michael","contributorId":147471,"corporation":false,"usgs":false,"family":"Archer","given":"Michael","email":"","affiliations":[],"preferred":false,"id":820495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247897,"text":"70247897 - 2021 - Projected changes of regional lake hydrologic characteristics in response to 21st century climate change","interactions":[],"lastModifiedDate":"2023-08-23T12:05:52.264045","indexId":"70247897","displayToPublicDate":"2021-08-02T07:01:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes of regional lake hydrologic characteristics in response to 21st century climate change","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Inland lakes are socially and ecologically important components of many regional landscapes. Exploring lake responses to plausible future climate scenarios can provide important information needed to inform stakeholders of likely effects of hydrologic changes on these waterbodies in coming decades. To assess potential climate effects on lake hydrology, we combined a previously published spatially explicit, processed-based hydrologic modeling framework implemented over the lake-rich landscape of the Northern Highlands Lake District within the United States with an ensemble of climate change scenarios for the 2050s (2041–2070) and 2080s (2071–2100). Model results quantify the effects of climate change on water budgets and lake stage elevations for 3692 lakes and highlight the importance of landscape and hydrologic setting for the response of specific lake types to climate change. All future climate projections resulted in loss of ice cover and snowpack as well as increased evaporation, but variability in climate projections (warmer conditions, wet winters combined with wet or dry summers) interacted with lake characteristics and landscape position to produce variable lake hydrologic changes. Water levels for drainage lakes (lakes with substantial surface water inflows and outflows) showed nearly no change, whereas minimum water levels for seepage lakes (minimal surface water fluxes) decreased by an average of up to 2.64 m by the end of the 21st century. Our physically based modeling approach is parsimonious and computationally efficient and can be applied to other lake-rich regions to investigate interregional variability in lake hydrologic response to future climate scenarios.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/20442041.2021.1924538","usgsCitation":"Hanson, Z.J., Zwart, J.A., Jones, S.E., Hamlet, A.F., and Bolster, D., 2021, Projected changes of regional lake hydrologic characteristics in response to 21st century climate change: Inland Waters, v. 11, no. 3, p. 335-350, https://doi.org/10.1080/20442041.2021.1924538.","productDescription":"16 p.","startPage":"335","endPage":"350","ipdsId":"IP-118568","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":451305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/20442041.2021.1924538","text":"Publisher Index Page"},{"id":420067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Northern Highlands Lake District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.31532812588793,\n              46.584874002109274\n            ],\n            [\n              -90.31532812588793,\n              45.340673519750055\n            ],\n            [\n              -88.55826949680751,\n              45.340673519750055\n            ],\n            [\n              -88.55826949680751,\n              46.584874002109274\n            ],\n            [\n              -90.31532812588793,\n              46.584874002109274\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hanson, Zachary J.","contributorId":328657,"corporation":false,"usgs":false,"family":"Hanson","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":880914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stuart E.","contributorId":203400,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart","email":"","middleInitial":"E.","affiliations":[{"id":36611,"text":"Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamlet, Alan F.","contributorId":266168,"corporation":false,"usgs":false,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolster, Diogo","contributorId":266171,"corporation":false,"usgs":false,"family":"Bolster","given":"Diogo","email":"","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237591,"text":"70237591 - 2021 - Integrating high-resolution coastal acidification monitoring data across seven United States estuaries","interactions":[],"lastModifiedDate":"2022-10-14T13:46:19.52335","indexId":"70237591","displayToPublicDate":"2021-08-01T15:52:56","publicationYear":"2021","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":"Integrating high-resolution coastal acidification monitoring data across seven United States estuaries","docAbstract":"<p><span>Beginning in 2015, the United States Environmental Protection Agency’s (EPA’s) National Estuary Program (NEP) started a collaboration with partners in seven estuaries along the East Coast (Barnegat Bay; Casco Bay), West Coast (Santa Monica Bay; San Francisco Bay; Tillamook Bay), and the Gulf of Mexico (GOM) Coast (Tampa Bay; Mission-Aransas Estuary) of the United States to expand the use of autonomous monitoring of partial pressure of carbon dioxide (</span><i>p</i><span>CO</span><sub>2</sub><span>) and pH. Analysis of high-frequency (hourly to sub-hourly) coastal acidification data including&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>, pH, temperature, salinity, and dissolved oxygen (DO) indicate that the sensors effectively captured key parameter measurements under challenging environmental conditions, allowing for an initial characterization of daily to seasonal trends in carbonate chemistry across a range of estuarine settings. Multi-year monitoring showed that across all water bodies temperature and&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;covaried, suggesting that&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;variability was governed, in part, by seasonal temperature changes with average&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;being lower in cooler, winter months and higher in warmer, summer months. Furthermore, the timing of seasonal shifts towards increasing (or decreasing)&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;varied by location and appears to be related to regional climate conditions. Specifically,&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;increases began earlier in the year in warmer water, lower latitude water bodies in the GOM (Tampa Bay; Mission-Aransas Estuary) as compared with cooler water, higher latitude water bodies in the northeast (Barnegat Bay; Casco Bay), and upwelling-influenced West Coast water bodies (Tillamook Bay; Santa Monica Bay; San Francisco Bay). Results suggest that both thermal and non-thermal influences are important drivers of&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;in Tampa Bay and Mission-Aransas Estuary. Conversely, non-thermal processes, most notably the biogeochemical structure of coastal upwelling, appear to be largely responsible for the observed&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;values in West Coast water bodies. The co-occurrence of high salinity, high&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>, low DO, and low temperature water in Santa Monica Bay and San Francisco Bay characterize the coastal upwelling paradigm that is also evident in Tillamook Bay when upwelling dominates freshwater runoff and local processes. These data demonstrate that high-quality carbonate chemistry observations can be recorded from estuarine environments using autonomous sensors originally designed for open-ocean settings.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.679913","usgsCitation":"Rosenau, N.A., Galavotti, H., Yates, K.K., Bohlen, C., Hunt, C.W., Liebman, M., Brown, A.C., Pacella, S.R., John L. Largier, Nielsen, K., Hu, X., McCutcheon, M., Vasslides, J., Poach, M., Ford, T., Johnston, K., and Steele, A., 2021, Integrating high-resolution coastal acidification monitoring data across seven United States estuaries: Frontiers in Marine Science, v. 8, 679913, 21 p., https://doi.org/10.3389/fmars.2021.679913.","productDescription":"679913, 21 p.","ipdsId":"IP-122630","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.679913","text":"Publisher Index Page"},{"id":408298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Florida, Maine, New Jersey, Oregon, Texas,","otherGeospatial":"Aransas Estuary, Barnegat Bay, Casco Bay Estuary, Coastal Bend Bay, San Francisco Bay Estuary, Santa Monica Bay, Tampa Bay 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,{"id":70228691,"text":"70228691 - 2021 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook salmon ESU","interactions":[],"lastModifiedDate":"2024-03-22T16:56:27.188275","indexId":"70228691","displayToPublicDate":"2021-08-01T11:47:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook salmon ESU","docAbstract":"<p>The portion of the Snake River fall Chinook salmon Oncorhynchus tshawytscha evolutionary significant unit (ESU) that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2020 in response to U.S. Endangered Species Act recovery efforts and other federally mandated actions. This annual report focuses on changes in population abundance and habitat use by natural- and hatchery-origin spawners. Typically, we also report on population attributes of natural-origin juveniles, but data on juveniles were not collected in 2020 due to Covid-19. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching the point that no more redds can be supported. Timing of spawning and fry emergence have been relatively stable, but effects of density dependence are evident in juvenile life stages. Apparent abundance of juvenile fall Chinook salmon has increased and we noted the following changes: parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier; growth rate (g/d) and dispersal size of parr has declined; and passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate has increased. These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir resulting from the expansion of the recovery program. The long-term goal is to use this information in a comprehensive modeling effort to conduct action-effectiveness and uncertainty research and to inform Fish Population, Hydrosystem, Harvest, Hatchery, and Predation and Invasive Species Management Research, Monitoring, and Evaluation (RM&amp;E) programs. </p><p>In 2020, the U.S. Geological Survey (USGS) focused survey efforts in the Snake River on deepwater redd searches and fish collection for parentage-based tagging (PBT) analyses. We use a boat-mounted underwater video camera to count 170 deepwater redds at 19 of the 28 sites surveyed. Redd depths averaged 4.2 m. We collected genetic samples from 297 live fall Chinook salmon and 16 carcasses at 44 unique geographic locations that spanned 89 river kilometers. Seventy-two fish were recovered at Eureka Bar (rkm 307.1) and Corral Creek (rkm 349.7), which accounted for 23% of all collected fish in 2020. Most (238 fish) post-spawned salmon were collected from early to mid-November just after peak spawning. A summary of 2019 PBT results can be found in Appendix A.1. </p><p>In 2020, we PIT tagged subyearling fall Chinook salmon in the Clearwater River to obtain population and growth data. In the Clearwater River, we tagged 2,192 subyearlings and recaptured 79 (3.6%) fish in the river and 187 fish (78 tagged by the U.S. Geological Survey, 109 tagged by the Nez Perce Tribe) at Lower Granite Dam during October which provided information for growth estimation. Within riverine habitats, growth in both length and mass were higher for fish tagged with 8-mm tags than with 9- and 12-mm tags. Estimated growth in length and mass of subyearlings was generally lower in Lower Granite Reservoir than in riverine habitats. </p><p>Information on prey resources and juvenile fall Chinook salmon prey consumption was collected to better understand the growth opportunity of late-migrating fish in Lower Granite Reservoir. Zooplankton and surface drifting prey were collected from three reservoir locations from July through October during 2019 and 2020. Fall Chinook salmon diet data were collected from angled fish using gastric lavage. Cladocera and Copepoda were the most abundant zooplankton taxa collected while Diptera was the most common invertebrate taxon collected in surface drift samples. Totals of 49 and 94 juvenile fall Chinook salmon were captured in 2019 and 2020, respectively, and most fish were caught in the lower reach of the reservoir in October of each year. Juvenile fall Chinook salmon consumed mainly dipterans in July and October 2019 and mainly Daphnia during August–October in 2020. Fish showed selection mainly for dipterans in 2019 but strong selection for Daphnia during October 2020. Stomach fullness values were relatively low (&lt;1.1%) during both years. Results show that prey resources are adequate in Lower Granite Reservoir to support positive fish growth during late summer and early autumn. </p>","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K., Barry, P.H., Hance, D., Plumb, J., Bickford, B., Rhodes, T., King, K.G., Lebeda, D.D., Hemingway, R.J., and Hargrove, J., 2021, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook salmon ESU, 89 p.","productDescription":"89 p.","ipdsId":"IP-132164","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":426905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396070,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Project.mvc/Display/1991-029-00"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Snake 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G.","contributorId":279516,"corporation":false,"usgs":false,"family":"King","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[{"id":57264,"text":"U.S. Fish and Wildlife Service, Lacey, WA","active":true,"usgs":false}],"preferred":false,"id":835058,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hargrove, John","contributorId":181828,"corporation":false,"usgs":false,"family":"Hargrove","given":"John","affiliations":[],"preferred":false,"id":897113,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70230356,"text":"70230356 - 2021 - Coastal observations of alligator snapping turtles in the Florida Panhandle","interactions":[],"lastModifiedDate":"2022-10-03T16:46:42.152635","indexId":"70230356","displayToPublicDate":"2021-08-01T11:46:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1668,"text":"Florida Field Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Coastal observations of alligator snapping turtles in the Florida Panhandle","docAbstract":"<p>The genus <i>Macrochelys</i> (alligator snapping turtles) inhabits river systems that empty into the Gulf of Mexico from Florida to Texas and contains the largest freshwater turtles in North America (Pritchard 2006). This paper details observations of <i>Macrochelys</i> on the coast and barrier islands in Franklin and Gulf counties, Florida, that contribute to our knowledge of their movements in brackish or saltwater ecosystems and occurrence on islands. Thomas et al. (2014) described turtles from this geographical area as a new species, Apalachicola alligator snapping turtle (<i>M. apalachicolae</i>), but Folt and Guyer (2015) disputed this designation, and many authorities still consider them to be alligator snapping turtles (<i>M. temminckii</i>; e.g., Crother 2017, Turtle Taxonomy Working Group 2017).</p>","language":"English","publisher":"Florida Ornithological Society","usgsCitation":"Enge, K.M., Smith, B.S., Talley, B.L., Cannon, T., Thomas, T.M., and Catizone, D.J., 2021, Coastal observations of alligator snapping turtles in the Florida Panhandle: Florida Field Naturalist, v. 49, no. 3, p. 138-147.","productDescription":"10 p.","startPage":"138","endPage":"147","ipdsId":"IP-130713","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":407798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398369,"type":{"id":15,"text":"Index Page"},"url":"https://www.fosbirds.org/ffn.html"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Enge, Kevin M.","contributorId":213602,"corporation":false,"usgs":false,"family":"Enge","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":38819,"text":"FL FWC","active":true,"usgs":false}],"preferred":false,"id":840056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Bradley S.","contributorId":289914,"corporation":false,"usgs":false,"family":"Smith","given":"Bradley","email":"","middleInitial":"S.","affiliations":[{"id":62284,"text":"U.S. Fish and Wildlife Service, St. Vincent National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":840057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talley, Brooke L.","contributorId":289915,"corporation":false,"usgs":false,"family":"Talley","given":"Brooke","email":"","middleInitial":"L.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":840058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Terri","contributorId":289916,"corporation":false,"usgs":false,"family":"Cannon","given":"Terri","email":"","affiliations":[{"id":62285,"text":"Dog Island, FL","active":true,"usgs":false}],"preferred":false,"id":840059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Travis M.","contributorId":289917,"corporation":false,"usgs":false,"family":"Thomas","given":"Travis","email":"","middleInitial":"M.","affiliations":[{"id":62286,"text":"Nature Coast Biological Station, Cedar Key, FL","active":true,"usgs":false}],"preferred":false,"id":840060,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Catizone, Daniel J. 0000-0002-7030-4208","orcid":"https://orcid.org/0000-0002-7030-4208","contributorId":248817,"corporation":false,"usgs":true,"family":"Catizone","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840061,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237364,"text":"70237364 - 2021 - Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles","interactions":[],"lastModifiedDate":"2022-10-11T16:38:54.583308","indexId":"70237364","displayToPublicDate":"2021-08-01T11:32:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12633,"text":"ACM/IMS Transactions on Data Science","active":true,"publicationSubtype":{"id":10}},"title":"Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles","docAbstract":"Physics-based models are often used to study engineering and environmental systems. The ability to model these systems is the key to achieving our future environmental sustainability and improving the quality of human life. This article focuses on simulating lake water temperature, which is critical for understanding the impact of changing climate on aquatic ecosystems and assisting in aquatic resource management decisions. General Lake Model (GLM) is a state-of-the-art physics-based model used for addressing such problems. However, like other physics-based models used for studying scientific and engineering systems, it has several well-known limitations due to simplified representations of the physical processes being modeled or challenges in selecting appropriate parameters. While state-of-the-art machine learning models can sometimes outperform physics-based models given ample amount of training data, they can produce results that are physically inconsistent. This article proposes a physics-guided recurrent neural network model (PGRNN) that combines RNNs and physics-based models to leverage their complementary strengths and improves the modeling of physical processes. Specifically, we show that a PGRNN can improve prediction accuracy over that of physics-based models (by over 20% even with very little training data), while generating outputs consistent with physical laws. An important aspect of our PGRNN approach lies in its ability to incorporate the knowledge encoded in physics-based models. This allows training the PGRNN model using very few true observed data while also ensuring high prediction accuracy. Although we present and evaluate this methodology in the context of modeling the dynamics of temperature in lakes, it is applicable more widely to a range of scientific and engineering disciplines where physics-based (also known as mechanistic) models are used.","language":"English","publisher":"ACM","doi":"10.1145/3447814","usgsCitation":"Jia, X., Willard, J., Karpatne, A., Read, J., Zwart, J.A., Steinbach, M., and Kumar, V., 2021, Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles: ACM/IMS Transactions on Data Science, v. 2, no. 3, 20, 26 p., https://doi.org/10.1145/3447814.","productDescription":"20, 26 p.","ipdsId":"IP-114876","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":451310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1145/3447814","text":"Publisher Index Page"},{"id":408166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":854274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Jared","contributorId":237808,"corporation":false,"usgs":false,"family":"Willard","given":"Jared","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":854275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karpatne, Anuj","contributorId":237810,"corporation":false,"usgs":false,"family":"Karpatne","given":"Anuj","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":854276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Read, Jordan 0000-0002-3888-6631","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":221385,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":854277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":854278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steinbach, Michael","contributorId":237811,"corporation":false,"usgs":false,"family":"Steinbach","given":"Michael","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":854279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kumar, Vipin","contributorId":237812,"corporation":false,"usgs":false,"family":"Kumar","given":"Vipin","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":854280,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228321,"text":"70228321 - 2021 - Modeling at-sea density of marine birds to support renewable energy planning on the Pacific outer continental shelf of the contiguous United States","interactions":[],"lastModifiedDate":"2022-02-08T16:51:22.708275","indexId":"70228321","displayToPublicDate":"2021-08-01T10:43:11","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5709,"text":"OCS Study","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"BOEM 2021-014","title":"Modeling at-sea density of marine birds to support renewable energy planning on the Pacific outer continental shelf of the contiguous United States","docAbstract":"<p>This report describes the at-sea spatial distributions of marine birds in Pacific OCS waters off the contiguous U.S. (Figure 1.1) to inform marine spatial planning in the region. The goal was to estimate long-term average spatial distributions for marine bird species using all available science-quality transect survey data and numerous bathymetric, oceanographic, and atmospheric predictor variables. We developed seasonal habitat-based spatial models of the at-sea distribution for 33 individual species and 13 taxonomic groups of marine birds throughout the study region. A statistical modeling framework was used to estimate numerical relationships between bird sighting data (i.e., standardized counts) and a range of temporal (e.g., Pacific Decadal Oscillation [PDO] index), spatially static (e.g., depth), and spatially dynamic (e.g., sea surface chlorophyll-a concentration) environmental variables. The estimated relationships were then used to predict spatially explicit long-term average density (individuals per km<sup>2</sup>) throughout the study area for each species/group in each of four seasons. Bird sighting data came from multiple scientific survey programs and consisted of at-sea counts of birds collected between 1980 and 2017 using boat-based and fixed-wing aerial transect survey methods. 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,{"id":70225691,"text":"70225691 - 2021 - Landsat 9: Ready for Launch","interactions":[],"lastModifiedDate":"2021-11-03T14:19:00.008628","indexId":"70225691","displayToPublicDate":"2021-08-01T09:15:42","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 9: Ready for Launch","docAbstract":"<p><span>Landsat 9 is in its final preparations for launch from Vandenberg Space Force Base on 16 September 2021. It has completed its environmental testing at Northrop Grumman Space (NGSP) in Gilbert, Arizona and has been transported to its California launch site. It will be launched into a 705 km orbit replacing Landsat 7 to provide 8-day Earth land mass coverage in concert with Landsat 8. Landsat 8 carries the first Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS); Landsat 9 carries the second of each: OLI-2 and TIRS-2. Once launched it will undergo a 90-day activation, checkout, characterization and calibration, a.k.a. commissioning phase before transitioning to operations. For a several-day period during this commissioning phase, Landsat 9 will under-fly Landsat 8, allowing near simultaneous data collection by both sensors of common Earth targets. These data will be used to compare the radiometric calibrations of the instruments and allow for adjustments of processing parameters to provide more consistent data products.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE: Earth observing systems XXVI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SPIE Optics + Photonics 2021","conferenceDate":"Aug 1-5, 2021","conferenceLocation":"San Diego, CA","language":"English","publisher":"SPIE","doi":"10.1117/12.2595885","usgsCitation":"Markham, B., Anderson, C., Choate, M., Crawford, C., Jenstrom, D., Masek, J., Pedelty, J., Sauer, B., and Thome, K., 2021, Landsat 9: Ready for Launch, <i>in</i> Proceedings of SPIE: Earth observing systems XXVI, v. 11829, San Diego, CA, Aug 1-5, 2021, 118290J, https://doi.org/10.1117/12.2595885.","productDescription":"118290J","ipdsId":"IP-131273","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":391324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11829","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Markham, Brian","contributorId":268247,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":826269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":826270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":268248,"corporation":false,"usgs":true,"family":"Choate","given":"Michael J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":826271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":826272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenstrom, Del","contributorId":268250,"corporation":false,"usgs":false,"family":"Jenstrom","given":"Del","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":826273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Masek, Jeff","contributorId":268252,"corporation":false,"usgs":false,"family":"Masek","given":"Jeff","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":826274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pedelty, Jeffery","contributorId":268253,"corporation":false,"usgs":false,"family":"Pedelty","given":"Jeffery","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":826275,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sauer, Brian 0000-0003-2205-1442 bsauer@usgs.gov","orcid":"https://orcid.org/0000-0003-2205-1442","contributorId":3534,"corporation":false,"usgs":true,"family":"Sauer","given":"Brian","email":"bsauer@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":826276,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thome, Kurtis","contributorId":268256,"corporation":false,"usgs":false,"family":"Thome","given":"Kurtis","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":826277,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70223721,"text":"70223721 - 2021 - Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring","interactions":[],"lastModifiedDate":"2021-09-02T13:19:23.999368","indexId":"70223721","displayToPublicDate":"2021-08-01T08:17:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":73,"text":"Research Paper","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"PNW-RP-618","displayTitle":"Simulating the effort necessary to detect changes in northern spotted owl (<i>Strix occidentalis caurina</i>) populations using passive acoustic monitoring","title":"Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring","docAbstract":"<p>Passive acoustic monitoring is a promising method for monitoring rare and nocturnal species, and for tracking changes in forest wildlife biodiversity. We conducted simulations to compare and evaluate various passive acoustic sampling designs effectiveness for monitoring spotted owl (<i>Strix occidentalis caurina</i>) population trends. We found that each design was effective for detecting a decline (or stability) in spotted own populations within 10 years with even a moderate amount of sampling. There are however, important considerations and tradeoffs among the various design options. Often, estimated changes in use of the landscape were biased with a consistently lower magnitude of change compared to simulated changes in the population. Although this method has challenges, passive acoustic monitoring can be used to effectively monitor northern spotted owls in the Pacific Northwest.</p>","language":"English","publisher":"U.S. Forest Service","usgsCitation":"Lesmeister, D.B., Appel, C., Davis, R.J., Yackulic, C., and Ruff, Z., 2021, Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring: Research Paper PNW-RP-618, 55 p.","productDescription":"55 p.","ipdsId":"IP-119741","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":388804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388793,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/pnw/publications/simulating-effort-necessary-detect-changes-northern-spotted-owl-strix-occidentalis"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.158203125,\n              32.76880048488168\n            ],\n            [\n              -117.99316406249999,\n              36.38591277287651\n            ],\n            [\n              -120.7177734375,\n              41.60722821271717\n            ],\n            [\n              -118.740234375,\n              47.96050238891509\n            ],\n            [\n              -119.267578125,\n              48.86471476180277\n            ],\n            [\n              -123.00292968749999,\n              49.009050809382046\n            ],\n            [\n              -123.53027343749999,\n              48.16608541901253\n            ],\n            [\n              -124.67285156250001,\n              48.3416461723746\n            ],\n            [\n              -124.1455078125,\n              45.30580259943578\n            ],\n            [\n              -124.27734374999999,\n              42.391008609205045\n            ],\n            [\n              -123.70605468750001,\n              39.232253141714885\n            ],\n            [\n              -121.33300781249999,\n              35.817813158696616\n            ],\n            [\n              -120.498046875,\n              34.45221847282654\n            ],\n            [\n              -117.158203125,\n              32.76880048488168\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":822477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appel, Cara L.","contributorId":265255,"corporation":false,"usgs":false,"family":"Appel","given":"Cara L.","affiliations":[{"id":54636,"text":"Graduate Research Assistant, USDA Forest Service, Pacific Northwest Research Station and Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR.","active":true,"usgs":false}],"preferred":false,"id":822478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":822479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruff, Zachary J.","contributorId":265260,"corporation":false,"usgs":false,"family":"Ruff","given":"Zachary J.","affiliations":[],"preferred":false,"id":822481,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223340,"text":"70223340 - 2021 - New amphibian and reptile parish records from Louisiana, USA","interactions":[],"lastModifiedDate":"2021-08-24T13:04:34.288078","indexId":"70223340","displayToPublicDate":"2021-08-01T08:04:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"New amphibian and reptile parish records from Louisiana, USA","docAbstract":"Dundee and Rossman (1989) published distribution maps of Louisiana herpetofaunal species in The Amphibians and Reptiles of Louisiana over 30 years ago. Since then many records have been published, mostly in Herpetological Review, documenting additions to these original maps. Though many are single species additions, several compilations of new Louisiana records have been published (Boundy 1994, 1998; 2004; Rosenzweig et al. 2007; Boundy and Gregory 2012; Battaglia et al. 2015). Here we report a total of 22 records that help to fill distributional gaps primarily in southern Louisiana. Most records are a result of targeted surveys during work projects or opportunistic encounters by the author. Those records where the author is not listed as an observer were submitted by others to the author via email. All records are photo vouchers deposited in the Florida Museum of Natural History (FMNH) Herpetology collection. Charles D. Battaglia of the Louisiana Department of Wildlife and Fisheries (LDWF) and Coleman Sheehy of the FMNH verified species identification. All records represent new parish records unless otherwise stated as determined by a list compiled by now-retired LDWF state herpetologist Jeff Boundy and through queries at VertNet.org. I thank Raymond P. Kidder for his assistance with querying VertNet.org.","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Glorioso, B., 2021, New amphibian and reptile parish records from Louisiana, USA: Herpetological Review, v. 52, no. 2, p. 364-366.","productDescription":"2 p.","startPage":"364","endPage":"366","ipdsId":"IP-124427","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":388414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388403,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"country":"United 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,{"id":70249824,"text":"70249824 - 2021 - Range-wide population genetic analysis of Seaside Sparrows (Ammospiza maritima) supports at least five distinct population segments that do not align with current subspecies descriptions","interactions":[],"lastModifiedDate":"2023-10-31T11:59:48.205691","indexId":"70249824","displayToPublicDate":"2021-08-01T06:49:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Range-wide population genetic analysis of Seaside Sparrows (<i>Ammospiza maritima</i>) supports at least five distinct population segments that do not align with current subspecies descriptions","title":"Range-wide population genetic analysis of Seaside Sparrows (Ammospiza maritima) supports at least five distinct population segments that do not align with current subspecies descriptions","docAbstract":"<p><span>As an obligate salt marsh species, Seaside Sparrows (</span><i>Ammospiza maritima</i><span>) are vulnerable to numerous threats including climate change, coastal erosion, sea-level rise, and both natural and anthropogenic disasters. Of the 9 recognized subspecies, 2 are extinct and 1 is endangered. Previous genetic analyses of mitochondrial DNA (mtDNA) and microsatellite loci showed that current taxonomy does not accurately reflect underlying genetic diversity, with possible consequences for the distribution of conservation resources. To further inform Seaside Sparrow management, we comprehensively describe genetic structure among 24 range-wide sampling locations that include all extant subspecies. We inferred population structure from several thousand single-nucleotide polymorphisms collected from 272 individuals via restriction-site-associated DNA sequencing. Principal components, pairwise&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;values, and clustering approaches suggest that Seaside Sparrows on the Atlantic and Gulf Coasts are distinct and consist of at least 5 genetic clusters: 1 in southern Texas, 1 ranging from Aransas County, Texas, to Mississippi; 1 in western Florida; and 2 or 3 genetic groups intermixed along a gradient on the Atlantic Coast. These genetic clusters are not consistent with current subspecies taxonomy and could be used as distinct population segments (DPSs) to inform the most efficient allocation of resources to Seaside Sparrow conservation. Our results regarding the endangered subspecies,&nbsp;</span><i>A. m. mirabilis</i><span>, from southern Florida are inconclusive due to low sample size, but indicate that it is distinct and may represent a sixth DPS. Based on our genetic results, we recommend additional song and morphometric analyses in western Florida and a closer study of the boundary between the breeding distributions of&nbsp;</span><i>A. m. maritima</i><span>&nbsp;and&nbsp;</span><i>A. m. macgillivraii</i><span>&nbsp;to ensure the proper identification of DPSs.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithapp/duab019","usgsCitation":"Davis, K.E., Settlecowski, A.E., Roeder, M.R., Enloe, C., Virzi, T., Hunter, M., Woltmann, S., and Taylor, S.S., 2021, Range-wide population genetic analysis of Seaside Sparrows (Ammospiza maritima) supports at least five distinct population segments that do not align with current subspecies descriptions: Ornithological Applications, v. 123, no. 3, duab019, 15 p., https://doi.org/10.1093/ornithapp/duab019.","productDescription":"duab019, 15 p.","ipdsId":"IP-124641","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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Louisiana","active":true,"usgs":false}],"preferred":false,"id":887229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Settlecowski, Amie E.","contributorId":331281,"corporation":false,"usgs":false,"family":"Settlecowski","given":"Amie","email":"","middleInitial":"E.","affiliations":[{"id":79175,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, Louisiana","active":true,"usgs":false}],"preferred":false,"id":887230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roeder, Mackenzie R.","contributorId":331282,"corporation":false,"usgs":false,"family":"Roeder","given":"Mackenzie","email":"","middleInitial":"R.","affiliations":[{"id":79176,"text":"Department of Biology, Austin Peay State University, Clarksville, Tennessee","active":true,"usgs":false}],"preferred":false,"id":887231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enloe, Carolyn","contributorId":331283,"corporation":false,"usgs":false,"family":"Enloe","given":"Carolyn","email":"","affiliations":[{"id":79177,"text":"Department of Biology, University of Florida, Gainesville, Florida","active":true,"usgs":false}],"preferred":false,"id":887232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Virzi, Thomas","contributorId":328736,"corporation":false,"usgs":false,"family":"Virzi","given":"Thomas","email":"","affiliations":[{"id":78474,"text":"Conservation InSight","active":true,"usgs":false}],"preferred":false,"id":887233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research 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,{"id":70222519,"text":"70222519 - 2021 - Earth's coastlines","interactions":[],"lastModifiedDate":"2021-08-11T13:53:12.540442","indexId":"70222519","displayToPublicDate":"2021-07-31T09:51:46","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Earth's coastlines","docAbstract":"<p>With approximately half the world’s population living less than 65 miles from the ocean, coastal ecosystems are arguably Earth’s most critical real estate. Yet coastlines are among the more difficult features to accurately map; until now, no comprehensive high-resolution geospatial dataset existed. This chapter presents a new map and ecological inventory of global coastlines developed by Esri, the U.S. Geological Survey, and other partners.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"GIS for science: Maps for saving the planet, Volume 3","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Esri Press","usgsCitation":"Sayre, R., Martin, M.T., Cress, J.J., Butler, K., Van Graafeiland, K., Breyer, S., Wright, D., Frye, C., Karagulle, D., Allen, T., Allee, R., Parsons, R., Nyberg, B., Costello, M.J., Muller-Karger, F., and Harris, P., 2021, Earth's coastlines, chap. 1 <i>of</i> GIS for science: Maps for saving the planet, Volume 3, v. 3, p. 4-27.","productDescription":"24 p.","startPage":"4","endPage":"27","ipdsId":"IP-129026","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":387853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387852,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gisforscience.com/chapter1/","linkFileType":{"id":5,"text":"html"}}],"volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105 rsayre@usgs.gov","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":191629,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":821047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Madeline T. 0000-0002-2704-1879","orcid":"https://orcid.org/0000-0002-2704-1879","contributorId":261694,"corporation":false,"usgs":true,"family":"Martin","given":"Madeline","email":"","middleInitial":"T.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":821048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cress, Jill Janene 0000-0002-3148-8374 jjcress@usgs.gov","orcid":"https://orcid.org/0000-0002-3148-8374","contributorId":140029,"corporation":false,"usgs":true,"family":"Cress","given":"Jill","email":"jjcress@usgs.gov","middleInitial":"Janene","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":821049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kevin","contributorId":200270,"corporation":false,"usgs":false,"family":"Butler","given":"Kevin","email":"","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":821050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Graafeiland, Keith","contributorId":245012,"corporation":false,"usgs":false,"family":"Van Graafeiland","given":"Keith","affiliations":[],"preferred":false,"id":821051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breyer, Sean","contributorId":213678,"corporation":false,"usgs":false,"family":"Breyer","given":"Sean","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":821052,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Dawn","contributorId":200268,"corporation":false,"usgs":false,"family":"Wright","given":"Dawn","affiliations":[],"preferred":false,"id":821053,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frye, Charlie","contributorId":191631,"corporation":false,"usgs":false,"family":"Frye","given":"Charlie","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":821054,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karagulle, Deniz","contributorId":200267,"corporation":false,"usgs":false,"family":"Karagulle","given":"Deniz","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":821055,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Tom","contributorId":213650,"corporation":false,"usgs":false,"family":"Allen","given":"Tom","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":821056,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Allee, Rebecca","contributorId":213649,"corporation":false,"usgs":false,"family":"Allee","given":"Rebecca","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821057,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Parsons, Rost","contributorId":187703,"corporation":false,"usgs":false,"family":"Parsons","given":"Rost","email":"","affiliations":[],"preferred":false,"id":821058,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nyberg, Bjorn","contributorId":213655,"corporation":false,"usgs":false,"family":"Nyberg","given":"Bjorn","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":821059,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Costello, Mark J.","contributorId":264173,"corporation":false,"usgs":false,"family":"Costello","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":52959,"text":"Nord University","active":true,"usgs":false}],"preferred":false,"id":821060,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Muller-Karger, Frank","contributorId":218424,"corporation":false,"usgs":false,"family":"Muller-Karger","given":"Frank","affiliations":[],"preferred":false,"id":821061,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Harris, Peter","contributorId":261702,"corporation":false,"usgs":false,"family":"Harris","given":"Peter","affiliations":[{"id":52960,"text":"GRID Arendal","active":true,"usgs":false}],"preferred":false,"id":821062,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70227048,"text":"70227048 - 2021 - Registration and application of sea lamprey pheromones for sea lamprey control in the United States and Canada","interactions":[],"lastModifiedDate":"2021-12-28T14:58:03.239658","indexId":"70227048","displayToPublicDate":"2021-07-31T08:50:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Registration and application of sea lamprey pheromones for sea lamprey control in the United States and Canada","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Since the identification of 3-trifluoromethyl-4-nitrophenol as a lampricide in the 1950s, control of sea lamprey populations in the Great Lakes has largely relied on lampricides, barriers, and traps. Lampricide treatments target larval lampreys in tributaries of the Great Lakes. The Great Lakes Fishery Commission oversees sea lamprey control efforts and has invested in technologies that may target other life stages to provide a more integrated approach to sea lamprey control. One technology under development is the use of pheromones to alter behavior of spawning adults. Pheromones are considered<span>&nbsp;</span>biopesticides<span>, which are substances made from naturally occurring products, or derived from living organisms, or a&nbsp;microorganism, that controls pests. We provide a review of sea lamprey management that led to the development of pheromone registration. We also describe the process used to register the first vertebrate pheromone, 3-ketopetromyzonal-24-sulfate (3kPZS) in the United States and Canada and its potential uses in sea lamprey control as a supplemental tool to chemical lampricides.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.017","usgsCitation":"Fredricks, K.T., Johnson, N.S., Hubert, T., and Siefkes, M., 2021, Registration and application of sea lamprey pheromones for sea lamprey control in the United States and Canada: Journal of Great Lakes Research, v. 47, no. 1, p. 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Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":173994,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim","email":"kfredricks@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":829374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":829375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, Terrance 0000-0001-9712-1738","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":215420,"corporation":false,"usgs":false,"family":"Hubert","given":"Terrance","affiliations":[{"id":39242,"text":"UMESC (retired)","active":true,"usgs":false}],"preferred":false,"id":829376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siefkes, Mike","contributorId":270482,"corporation":false,"usgs":false,"family":"Siefkes","given":"Mike","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":829377,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227960,"text":"70227960 - 2021 - Using growth rates to estimate the minimum age and size at sexual maturity in a captive population of the critically endangered Central American river turtle Dermatemys mawii","interactions":[],"lastModifiedDate":"2022-02-02T15:03:31.212647","indexId":"70227960","displayToPublicDate":"2021-07-31T08:42:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10077,"text":"Journal of Zoo and Aquarium Research","onlineIssn":"2214-7594","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using growth rates to estimate the minimum age and size at sexual maturity in a captive population of the critically endangered Central American river turtle <i>Dermatemys mawii</i>","title":"Using growth rates to estimate the minimum age and size at sexual maturity in a captive population of the critically endangered Central American river turtle Dermatemys mawii","docAbstract":"<p>The Central American river turtle <i>Dermatemys mawii</i> is a critically endangered species that has incurred substantial losses over the last several decades due to overhunting. This species is now being considered for head-starting programs (i.e. captive breeding of turtles for wild release). However, relatively little is known about their life history characteristics, especially with respect to growth and sexual maturation. A robust knowledge of <i>D. mawii</i> life history traits is important in developing conservation management plans. Our research is the first known study to maintain hatchlings, juveniles, and adults in captivity with regular morphometric data collection. We quantified growth rates (cm yr-1) and calculated growth parameters (e.g. growth coefficients) to estimate body size and age at onset of sexual maturity in a group of wild-caught but captive-held and captive-bred <i>D. mawii</i> in Belize. Sizes at the onset of sexual maturity were inferred by segmented linear regressions that identified changes in growth rate by body size. Asymptotic sizes and growth coefficients were calculated using the Fabens method and the Wang method. Parameters from these models were then applied to a modified von Bertalanffy growth equation to estimate age at the onset of sexual maturity. Male and female <i>D. mawii</i> begin sexual maturation at ca. 38.0 cm and 40.0 cm straight-line carapace length, respectively. We estimated ages associated with these sizes at 13.5-16.9 yrs (males) and 13.6-17.3 yrs (females). No previous literature on growth rates or age at maturation for wild or captive <i>D. mawii</i> has been reported, so our results serve as a starting point in conservation management. Given the life history trait of delayed sexual maturity (&gt;10 years), <i>D. mawii</i> may be more sensitive to losses of the adult population. Therefore, the importance of captive breeding and head-starting programs may be concomitant with protecting wild, adult populations.</p>","language":"English","publisher":"European Association of Zoos and Aquaria","doi":"10.19227/jzar.v9i3.432","usgsCitation":"Bishop, N.D., Hudson, R., Marlin, J., Pop, T., Rainwater, T.R., Boylan, S.M., Atkinson, B.K., and Carthy, R., 2021, Using growth rates to estimate the minimum age and size at sexual maturity in a captive population of the critically endangered Central American river turtle Dermatemys mawii: Journal of Zoo and Aquarium Research, v. 9, no. 3, p. 150-156, https://doi.org/10.19227/jzar.v9i3.432.","productDescription":"7 p.","startPage":"150","endPage":"156","ipdsId":"IP-094451","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belize","county":"Toledo","otherGeospatial":"Belize Foundation for Research and Environmental Education, Hicatee Conservation Research Center","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.74309539794922,\n              16.444975888014174\n            ],\n            [\n              -88.57486724853516,\n              16.444975888014174\n            ],\n            [\n              -88.57486724853516,\n              16.59506848241128\n            ],\n            [\n              -88.74309539794922,\n              16.59506848241128\n            ],\n            [\n              -88.74309539794922,\n              16.444975888014174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Nichole D.","contributorId":273246,"corporation":false,"usgs":false,"family":"Bishop","given":"Nichole","email":"","middleInitial":"D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":832713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Rick","contributorId":212739,"corporation":false,"usgs":false,"family":"Hudson","given":"Rick","affiliations":[],"preferred":false,"id":832714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marlin, Jacob","contributorId":273247,"corporation":false,"usgs":false,"family":"Marlin","given":"Jacob","email":"","affiliations":[{"id":56441,"text":"Belize Foundation for Research and Environmental Education","active":true,"usgs":false}],"preferred":false,"id":832715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pop, Thomas","contributorId":273248,"corporation":false,"usgs":false,"family":"Pop","given":"Thomas","email":"","affiliations":[{"id":56441,"text":"Belize Foundation for Research and Environmental Education","active":true,"usgs":false}],"preferred":false,"id":832716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rainwater, Thomas R.","contributorId":93791,"corporation":false,"usgs":true,"family":"Rainwater","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boylan, Shane M.","contributorId":220012,"corporation":false,"usgs":false,"family":"Boylan","given":"Shane","email":"","middleInitial":"M.","affiliations":[{"id":40118,"text":"Clearwater Marine Aquarium, Clearwater, FL, USA","active":true,"usgs":false}],"preferred":false,"id":832718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atkinson, Benjamin K.","contributorId":273250,"corporation":false,"usgs":false,"family":"Atkinson","given":"Benjamin","email":"","middleInitial":"K.","affiliations":[{"id":56443,"text":"Flagler College","active":true,"usgs":false}],"preferred":false,"id":832719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":832720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70224636,"text":"70224636 - 2021 - Physiological consequences of consuming low-energy foods: Herbivory coincides with a stress response in Yellowstone bears.","interactions":[],"lastModifiedDate":"2021-10-01T13:11:41.766995","indexId":"70224636","displayToPublicDate":"2021-07-31T08:06:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Physiological consequences of consuming low-energy foods: Herbivory coincides with a stress response in Yellowstone bears.","docAbstract":"<p class=\"chapter-para\">Meat, fruit, seeds and other high-energy bear foods are often highly localized and briefly available and understanding which factors influence bear consumption of these foods is a common focus of bear conservation and ecology. However, the most common bear foods, graminoids and forbs, are more widespread but of lower quality. We poorly understand how herbage consumption impacts bear physiology, such as endocrine system function that regulates homeostasis and stress responses. Here, we described bear diets with a novel approach, measuring the concentration of chlorophyll in bear scats (faecal chlorophyll) to index the proportion of the recent diet that was composed of leaves from graminoids and forbs. We measured faecal chlorophyll and faecal cortisol in 351 grizzly (<i>Ursus arctos</i>,<span>&nbsp;</span><i>n</i> = 255) and black bear (<i>Ursus americanus</i>,<span>&nbsp;</span><i>n</i> = 96) scats from Yellowstone National Park in 2008–2009. We compared models of faecal chlorophyll and faecal cortisol concentrations considering the effects of spatial, dietary, scat and bear-specific factors including species. Faecal chlorophyll levels were the strongest predictor of faecal cortisol in a manner that suggested an endocrine response to a low-energy diet. Both compounds were highest during the spring and early summer months, overlapping the breeding season when higher energy foods were less available. Effects of scat composition, scat weathering, bear age, bear sex, species and other factors that have previously been shown to influence faecal cortisol in bears were not important unless faecal chlorophyll was excluded from models. The top models of faecal chlorophyll suggested grazing was primarily influenced by spatial attributes, with greater grazing closer to recreational trails, implying that elevated cortisol with grazing could be a response to anthropogenic activity. Our results confirm that higher stress hormone concentrations correspond with lower quality diets in bears, particularly grazing, and that faecal chlorophyll shows promise as a metric for studying grazing behaviour and its consequences.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coab029","usgsCitation":"Christianson, D.A., Coleman, T., Doan, Q., and Haroldson, M.A., 2021, Physiological consequences of consuming low-energy foods: Herbivory coincides with a stress response in Yellowstone bears.: Conservation Physiology, v. 9, no. 1, coab029, 12 p., https://doi.org/10.1093/conphys/coab029.","productDescription":"coab029, 12 p.","ipdsId":"IP-126197","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":451319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coab029","text":"Publisher Index Page"},{"id":390108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.005859375,\n              42.79540065303723\n            ],\n            [\n              -108.74267578125,\n              42.79540065303723\n            ],\n            [\n              -108.74267578125,\n              44.99588261816546\n            ],\n            [\n              -111.005859375,\n              44.99588261816546\n            ],\n            [\n              -111.005859375,\n              42.79540065303723\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Christianson, David A","contributorId":145749,"corporation":false,"usgs":false,"family":"Christianson","given":"David","email":"","middleInitial":"A","affiliations":[{"id":16223,"text":"Institute of the Environment, University of Arizona, 325 Biological Sciences East, Tucson, AZ 85721 USA","active":true,"usgs":false}],"preferred":false,"id":824469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Tyler H","contributorId":266163,"corporation":false,"usgs":false,"family":"Coleman","given":"Tyler H","affiliations":[{"id":54935,"text":"Sequoia-Kings National Park, National Park Service","active":true,"usgs":false}],"preferred":false,"id":824470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doan, Quint","contributorId":266164,"corporation":false,"usgs":false,"family":"Doan","given":"Quint","email":"","affiliations":[{"id":54936,"text":"School of Forestry and Environmental Studies, Yale University","active":true,"usgs":false}],"preferred":false,"id":824471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":824472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223187,"text":"70223187 - 2021 - Multiple in-stream stressors degrade biological assemblages in five U.S. regions","interactions":[],"lastModifiedDate":"2022-04-28T14:19:10.572434","indexId":"70223187","displayToPublicDate":"2021-07-31T07:46:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multiple in-stream stressors degrade biological assemblages in five U.S. regions","docAbstract":"<p>Biological assemblages in streams are affected by a wide variety of physical and chemical stressors associated with land-use development, yet the importance of combinations of different types of stressors is not well known. From 2013 to 2017, the U.S. Geological Survey completed multi-stressor/multi-assemblage stream ecological assessments in five regions of the United States (434 streams total). Diatom, invertebrate, and fish communities were enumerated, and five types of potential stressors were quantified: habitat disturbance, excess nutrients, high flows, basic water quality, and contaminants in water and sediment. Boosted regression tree (BRT) models for each biological assemblage and region generally included variables from all five stressor types and multiple stressors types in each model was the norm. Classification and regression tree (CART) models then were used to determine thresholds for each BRT model variable above which there appeared to be adverse effects (multi-metric index (MMI) models only). In every region and assemblage there was a significant inverse relation between the MMI and the number of stressors exerting potentially adverse effects. The number of elevated instream stressors often varied substantially for a given level of land-use development and the number of elevated stressors was a better predictor of biological condition than was development. Using the adverse effects-levels that were developed based on the BRT model results, 68% of the streams had two or more stressors with potentially adverse effects and 35% had four or more. Our results indicate that relatively small increases in the number of stressors of different types can have a large effect on a stream ecosystem.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.149350","usgsCitation":"Waite, I.R., Van Metre, P.C., Moran, P.W., Konrad, C.P., Nowell, L.H., Meador, M., Munn, M.D., Schmidt, T., Gellis, A.C., Carlisle, D.M., Bradley, P.M., and Mahler, B., 2021, Multiple in-stream stressors degrade biological assemblages in five U.S. regions: Science of the Total Environment, v. 800, 149350, 16 p., https://doi.org/10.1016/j.scitotenv.2021.149350.","productDescription":"149350, 16 p.","ipdsId":"IP-123697","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science 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,{"id":70223352,"text":"70223352 - 2021 - A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions","interactions":[],"lastModifiedDate":"2021-08-24T12:47:03.61403","indexId":"70223352","displayToPublicDate":"2021-07-31T07:43:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9149,"text":"Weather and Climate Extremes","active":true,"publicationSubtype":{"id":10}},"title":"A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Drought is an inescapable reality in many regions, including much of the western United States. With climate change, droughts are predicted to intensify and occur more frequently, making the imperative for<span>&nbsp;</span>drought management<span>&nbsp;</span>even greater. Many diverse actors – including private landowners, business owners, scientists, non-governmental organizations (NGOs), and managers and policymakers within tribal, local, state, and federal government agencies – play multiple, often overlapping roles in preparing for and responding to drought. Managing water is, of course, one of the most important roles that humans play in both mitigating and responding to droughts; but, focusing only on “water managers” or “water management” fails to capture key elements related to the broader category of drought management. The respective roles played by those managing drought (as distinct from water managers), the interactions among them, and the consequences in particular contexts, are not well understood. Our team synthesized insights from 10 in-depth case studies to understand key facets of decision making about drought preparedness and response. We present a typology with four elements that collectively describe how decisions about drought preparedness and response are made (context and objective for a decision; actors responsible; choice being made or action taken; and how decisions interact with and influence other decisions). The typology provides a framework for system-level understanding of how and by whom complex decisions about drought management are made. Greater system-level understanding helps decision makers, program and research funders, and scientists to identify constraints to and opportunities for action, to learn from the past, and to integrate ecological impacts, thereby facilitating social learning among diverse participants in drought preparedness and response.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.wace.2021.100362","usgsCitation":"Cravens, A.E., Henderson, J., Friedman, J., Burkardt, N., Cooper, A.E., Haigh, T., Hayes, M., McEvoy, J., Paladino, S., Wilke, A., and Wilmer, H., 2021, A typology of drought decision making: Synthesizing across cases to understand drought preparedness and response actions: Weather and Climate Extremes, v. 33, 100362, 15 p., https://doi.org/10.1016/j.wace.2021.100362.","productDescription":"100362, 15 p.","ipdsId":"IP-114785","costCenters":[{"id":291,"text":"Fort Collins Science 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 \"}}]}","volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, Jennifer","contributorId":264667,"corporation":false,"usgs":false,"family":"Henderson","given":"Jennifer","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":821831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Jack","contributorId":264668,"corporation":false,"usgs":false,"family":"Friedman","given":"Jack","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":821832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, Ashley E. 0000-0001-9817-4444","orcid":"https://orcid.org/0000-0001-9817-4444","contributorId":257654,"corporation":false,"usgs":true,"family":"Cooper","given":"Ashley","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haigh, Tonya","contributorId":204248,"corporation":false,"usgs":false,"family":"Haigh","given":"Tonya","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":821835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Michael","contributorId":192358,"corporation":false,"usgs":false,"family":"Hayes","given":"Michael","affiliations":[],"preferred":false,"id":821836,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McEvoy, Jamie","contributorId":197223,"corporation":false,"usgs":false,"family":"McEvoy","given":"Jamie","affiliations":[],"preferred":false,"id":821837,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paladino, Stephanie","contributorId":264673,"corporation":false,"usgs":false,"family":"Paladino","given":"Stephanie","email":"","affiliations":[{"id":54536,"text":"MeroLek Research","active":true,"usgs":false}],"preferred":false,"id":821838,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilke, Adam","contributorId":217942,"corporation":false,"usgs":false,"family":"Wilke","given":"Adam","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":821839,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wilmer, Hailey","contributorId":245345,"corporation":false,"usgs":false,"family":"Wilmer","given":"Hailey","email":"","affiliations":[],"preferred":false,"id":821840,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70230579,"text":"70230579 - 2021 - Establishing conservation units to promote recovery of two threatened freshwater mussel species (Bivalvia: Unionida: Potamilus)","interactions":[],"lastModifiedDate":"2022-04-18T11:51:52.930376","indexId":"70230579","displayToPublicDate":"2021-07-31T06:50:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Establishing conservation units to promote recovery of two threatened freshwater mussel species (Bivalvia: Unionida: Potamilus)","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Population genomics has significantly increased our ability to make inferences about microevolutionary processes and demographic histories, which have the potential to improve protection and recovery of imperiled species. Freshwater mussels (Bivalvia: Unionida) represent one of the most imperiled groups of organisms globally. Despite systemic decline of mussel abundance and diversity, studies evaluating spatiotemporal changes in distribution, demographic histories, and ecological factors that threaten long-term persistence of imperiled species remain lacking. In this study, we use genotype-by-sequencing (GBS) and mitochondrial sequence data (mtDNA) to define conservation units (CUs) for two highly imperiled freshwater mussel species,<span>&nbsp;</span><i>Potamilus amphichaenus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Potamilus streckersoni</i>. We then synthesize our molecular findings with details from field collections spanning from 1901 to 2019 to further elucidate distributional trends, contemporary status, and other factors that may be contributing to population declines for our focal species. We collected GBS and mtDNA data for individuals of<span>&nbsp;</span><i>P.&nbsp;amphichaenus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P.&nbsp;streckersoni</i><span>&nbsp;</span>from freshwater mussel collections in the Brazos, Neches, Sabine, and Trinity drainages ranging from 2012 to 2019. Molecular analyses resolved disputing number of genetic clusters within<span>&nbsp;</span><i>P.&nbsp;amphichaenus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P.&nbsp;streckersoni</i>; however, we find defensible support for four CUs, each corresponding to an independent river basin. Evaluations of historical and recent occurrence data illuminated a generally increasing trend of occurrence in each of the four CUs, which were correlated with recent increases in sampling effort. Taken together, these findings suggest that<span>&nbsp;</span><i>P.&nbsp;amphichaenus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P.&nbsp;streckersoni</i><span>&nbsp;</span>are likely rare throughout their respective ranges. Because of this, the establishment of CUs will facilitate evidence-based recovery planning and ensure potential captive propagation and translocation efforts are beneficial. Our synthesis represents a case study for conservation genomic assessments in freshwater mussels and provides a model for future studies aimed at recovery planning for these highly imperiled organisms.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7897","usgsCitation":"Smith, C.H., Johnson, N., Robertson, C.R., Doyle, R.D., and Randklev, C.R., 2021, Establishing conservation units to promote recovery of two threatened freshwater mussel species (Bivalvia: Unionida: Potamilus): Ecology and Evolution, v. 11, no. 16, p. 11102-11122, https://doi.org/10.1002/ece3.7897.","productDescription":"21 p.","startPage":"11102","endPage":"11122","ipdsId":"IP-122485","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":451325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7897","text":"Publisher Index Page"},{"id":398911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"16","noUsgsAuthors":false,"publicationDate":"2021-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":840787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":210319,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":840788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Clinton R.","contributorId":290319,"corporation":false,"usgs":false,"family":"Robertson","given":"Clinton","email":"","middleInitial":"R.","affiliations":[{"id":62404,"text":"Texas Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":840789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Robert D.","contributorId":239937,"corporation":false,"usgs":false,"family":"Doyle","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":840790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":840791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70234099,"text":"70234099 - 2021 - Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe","interactions":[],"lastModifiedDate":"2024-10-28T16:49:01.177992","indexId":"70234099","displayToPublicDate":"2021-07-31T06:48:06","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe","docAbstract":"<div class=\"abstract-text row\"><div class=\"col-12\"><div class=\"u-mb-1\"><div>An increasing number of sports fields around the world are equipped with artificial turf. This solution has been endorsed by numerous sports federations, despite concerns about the potential for injuries and higher surface temperatures. In this work we analyzed land surface temperature in 4 pairs of natural and artificial turf sports fields in Europe and the United States using Landsat-8 data. Surface temperatures in the artificial turf fields were found to be significantly higher (14.8 K in one case) with important variability throughout the year. Landsat imagery processed using Google Earth Engine was demonstrated to be adequate to profile surface temperatures across seasons and support both research and decision making. This work is part of a broader effort to generate a comprehensive database of surface temperature in sports fields under different conditions.</div></div></div></div>","conferenceTitle":"International Geoscience and Remote Sensing Symposium","conferenceDate":"July 11-16, 2021","conferenceLocation":"Brussels, Belgium","language":"English","publisher":"International Geoscience and Remote Sensing","doi":"10.1109/IGARSS47720.2021.9554145","usgsCitation":"Mantas, V.M., and Xian, G.Z., 2021, Land surface temperature differences between natural and artificial turf sports fields as estimated from satellite: Examples from the United States and Europe, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 11-16, 2021, p. 1777-1780, https://doi.org/10.1109/IGARSS47720.2021.9554145.","productDescription":"4 p.","startPage":"1777","endPage":"1780","ipdsId":"IP-125811","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":404554,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mantas, Vasco M. 0000-0001-9602-7715","orcid":"https://orcid.org/0000-0001-9602-7715","contributorId":294356,"corporation":false,"usgs":false,"family":"Mantas","given":"Vasco","email":"","middleInitial":"M.","affiliations":[{"id":63561,"text":"University of Coimbra, CITEUC, Portugal","active":true,"usgs":false}],"preferred":false,"id":847800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":847801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70234095,"text":"70234095 - 2021 - Got acetylene: A personal research retrospective","interactions":[],"lastModifiedDate":"2022-07-29T11:43:59.628664","indexId":"70234095","displayToPublicDate":"2021-07-31T06:42:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11443,"text":"FEMS Microbes","active":true,"publicationSubtype":{"id":10}},"title":"Got acetylene: A personal research retrospective","docAbstract":"<p class=\"chapter-para\">In research, sometimes sheer happenstance and serendipity make for an unexpected discovery. Once revealed and if interesting enough, such a finding and its follow-up investigations can lead to advances by others that leave its originators ‘scooped’ and mulling about what next to do with their unpublished data, specifically what journals could it still be published in and be perceived as original. This is what occurred with us nearly 40 years ago with regard to our follow-up observations of acetylene fermentation and led us to concoct a ‘cock-and-bull’ story. We hypothesized about a plausible role for acetylene metabolism in the primordial biogeochemistry of Earth and the possibility of acetylene serving as a key life-sustaining substrate for alien microbes dwelling in the orbs of the outer solar system. With the passage of time, advances were made in whole-genome sequencing coupled with major<span>&nbsp;</span><i>in silico</i><span>&nbsp;</span>progress in bioinformatics. In parallel came the results of explorations of the outer solar system (i.e. the Cassini mission to Saturn and its moons). It now appears that these somewhat harebrained ideas of ours, arisen at first out of a sense of desperation, actually ring true in fact, and particularly well in song:</p><p class=\"chapter-para\">‘Tell a tale of<span>&nbsp;</span><span class=\"underline\">cock and bull</span>,</p><p class=\"chapter-para\">Of convincing detail full</p><p class=\"chapter-para\">Tale tremendous,</p><p class=\"chapter-para\">Heav'n defend us!</p><p class=\"chapter-para\">What a tale of cock and bull!'</p><p class=\"chapter-para\"><i>From ‘The Yeoman of the Guard’ by Gilbert &amp; Sullivan</i>.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsmc/xtab009","usgsCitation":"Oremland, R., 2021, Got acetylene: A personal research retrospective: FEMS Microbes, v. 2, xtab009, 11 p., https://doi.org/10.1093/femsmc/xtab009.","productDescription":"xtab009, 11 p.","ipdsId":"IP-129240","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":451330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/femsmc/xtab009","text":"Publisher Index Page"},{"id":404553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2021-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":257598,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":847775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70222432,"text":"sim3473 - 2021 - Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the northern part of the California Continental Borderland, southern California","interactions":[],"lastModifiedDate":"2021-08-02T11:31:35.361279","indexId":"sim3473","displayToPublicDate":"2021-07-30T10:12:21","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3473","displayTitle":"Colored Shaded-Relief Bathymetry, Acoustic Backscatter, and Selected Perspective Views of the Northern Part of the California Continental Borderland, Southern California","title":"Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the northern part of the California Continental Borderland, southern California","docAbstract":"<p>The California Continental Borderland is the complex continental margin in southern California that extends from Point Conception southward into northern Baja California (Fisher and others, 2009). This colored shaded-relief bathymetry map of the northern continental borderland in southern California was generated primarily from multibeam-echosounder data collected by the University of Washington in 2016, the Ocean Exploration Trust-Nautilus Exploration Program in 2015–17, and the National Oceanic and Atmospheric Administration in 2017. These datasets were processed in part by the U.S. Geological Survey. Additional smaller amounts of publicly available multibeam-bathymetry data collected by other federal and local agencies, academic institutions, and private firms were also incorporated into this map. Since the production of this map, other multibeam-bathymetry data have been collected in this region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3473","collaboration":"Prepared in cooperation with the University of Washington, Ocean Exploration Trust's Nautilus Exploration Program, and National Oceanographic and Atmospheric Administration","usgsCitation":"Dartnell, P., Roland, E.C., Raineault, N.A., Castillo, C.M., Conrad, J.E., Kane, R., Brothers, D.S., Kluesner, J., and Walton, M.A.L., 2021, Colored shaded-relief bathymetry, acoustic backscatter, and selected perspective views of the northern part of the California Continental Borderland, southern California: U.S. Geological Survey Scientific Investigations Map 3473, 3 sheets, scale 1:250,000, https://doi.org/10.3133/sim3473.","productDescription":"3 Sheets: 30.89 x 31.00 inches or smaller","additionalOnlineFiles":"Y","ipdsId":"IP-088853","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":436255,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FU7SJL","text":"USGS data release","linkHelpText":"Data release of geologic and geophysical maps of the Santa Maria and northern part of the Point Conception 30' x 60' quadrangles, California"},{"id":387521,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3473/covrthb.jpg"},{"id":387522,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3473/sim3473_sheet1.pdf","text":"Sheet 1","size":"32 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387523,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3473/sim3473_sheet2.pdf","text":"Sheet 2","size":"30 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387524,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3473/sim3473_sheet3.pdf","text":"Sheet 3","size":"20 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.47607421874999,\n              32.81959486923976\n            ],\n            [\n              -117.33947753906249,\n              32.81959486923976\n            ],\n            [\n              -117.33947753906249,\n              34.093610452768715\n            ],\n            [\n              -120.47607421874999,\n              34.093610452768715\n            ],\n            [\n              -120.47607421874999,\n              32.81959486923976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://www.usgs.gov/centers/pcmsc/\" data-mce-href=\"http://www.usgs.gov/centers/pcmsc/\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>Pacific Coastal and Marine Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-07-30","noUsgsAuthors":false,"publicationDate":"2021-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roland, Emily C.","contributorId":261437,"corporation":false,"usgs":false,"family":"Roland","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":true,"id":820031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raineault, Nicole A.","contributorId":221055,"corporation":false,"usgs":false,"family":"Raineault","given":"Nicole","email":"","middleInitial":"A.","affiliations":[{"id":40314,"text":"Ocean Exploration Trust","active":true,"usgs":false}],"preferred":true,"id":820032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castillo, Christopher M.","contributorId":222426,"corporation":false,"usgs":false,"family":"Castillo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":true,"id":820033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kane, Renato","contributorId":261438,"corporation":false,"usgs":false,"family":"Kane","given":"Renato","email":"","affiliations":[{"id":40314,"text":"Ocean Exploration Trust","active":true,"usgs":false}],"preferred":true,"id":820035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walton, Maureen A. L. 0000-0001-8496-463X","orcid":"https://orcid.org/0000-0001-8496-463X","contributorId":211025,"corporation":false,"usgs":true,"family":"Walton","given":"Maureen","email":"","middleInitial":"A. L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820038,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70223677,"text":"70223677 - 2021 - How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology","interactions":[],"lastModifiedDate":"2021-09-01T13:17:18.148308","indexId":"70223677","displayToPublicDate":"2021-07-30T08:13:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9312,"text":"BMC Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology","docAbstract":"<p>Environmental conditions on Earth are repeated in non-random patterns that often coincide with species from different regions and time periods having consistent combinations of morphological, physiological and behavioral traits. Observation of repeated trait combinations among species confronting similar environmental conditions suggest that adaptive trait combinations are constrained by functional tradeoffs within or across niche dimensions. In an earlier study, we assembled a high-resolution database of functional traits for 134 lizard species to explore ecological diversification in relation to five fundamental niche dimensions. Here we expand and further examine multivariate relationships in that dataset to assess the relative influence of niche dimensions on the distribution of species in 6-dimensional niche space and how these may deviate from distributions generated from null models. We then analyzed a dataset with lower functional-trait resolution for 1023 lizard species that was compiled from our dataset and a published database, representing most of the extant families and environmental conditions occupied by lizards globally. Ordinations from multivariate analysis were compared with null models to assess how ecological and historical factors have resulted in the conservation, divergence or convergence of lizard niches.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s12862-021-01877-8","usgsCitation":"Pelegrin, N., Winemiller, K.O., Vitt, L.J., Fitzgerald, D.B., and Pianka, E.R., 2021, How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology: BMC Ecology and Evolution, v. 21, 149, 13 p., https://doi.org/10.1186/s12862-021-01877-8.","productDescription":"149, 13 p.","ipdsId":"IP-118097","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12862-021-01877-8","text":"Publisher Index Page"},{"id":388723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","noUsgsAuthors":false,"publicationDate":"2021-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Pelegrin, Nicolas","contributorId":265133,"corporation":false,"usgs":false,"family":"Pelegrin","given":"Nicolas","email":"","affiliations":[{"id":36900,"text":"Universidad Nacional de Córdoba","active":true,"usgs":false}],"preferred":false,"id":822291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winemiller, Kirk O.","contributorId":265134,"corporation":false,"usgs":false,"family":"Winemiller","given":"Kirk","email":"","middleInitial":"O.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":822292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitt, Laurie J.","contributorId":147516,"corporation":false,"usgs":false,"family":"Vitt","given":"Laurie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":822293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgerald, Daniel Bruce 0000-0002-3254-7428","orcid":"https://orcid.org/0000-0002-3254-7428","contributorId":245718,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Daniel","email":"","middleInitial":"Bruce","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pianka, Eric R.","contributorId":265135,"corporation":false,"usgs":false,"family":"Pianka","given":"Eric","email":"","middleInitial":"R.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":822295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222515,"text":"70222515 - 2021 - Why study geysers?","interactions":[],"lastModifiedDate":"2021-08-02T12:58:29.937962","indexId":"70222515","displayToPublicDate":"2021-07-30T07:56:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Why study geysers?","docAbstract":"Scientific research for more than two centuries has improved our understanding of Earth’s geysers. This knowledge provides insights into volcanic processes, the origin and environmental limits of life on Earth and potentially Mars, and on geysers on icy outer solar system satellites. Continued scientific research will help us understand and protect these natural wonders that attract millions of tourists annually.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021EO161365","usgsCitation":"Hurwitz, S., Manga, M., Campbell, K., Munoz-Saez, C., and Eibl, E., 2021, Why study geysers?: Eos, American Geophysical Union, v. 102, 15 p., https://doi.org/10.1029/2021EO161365.","productDescription":"15 p.","ipdsId":"IP-128968","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":451335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021eo161365","text":"Publisher Index Page"},{"id":387622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":261678,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":820404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Kathleen","contributorId":261679,"corporation":false,"usgs":false,"family":"Campbell","given":"Kathleen","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":820405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munoz-Saez, Carolina","contributorId":261680,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":820406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eibl, Eva","contributorId":261681,"corporation":false,"usgs":false,"family":"Eibl","given":"Eva","email":"","affiliations":[{"id":52955,"text":"University of Potsdam","active":true,"usgs":false}],"preferred":false,"id":820407,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223685,"text":"70223685 - 2021 - Multiple climate change-driven tipping points for coastal systems","interactions":[],"lastModifiedDate":"2021-09-01T12:43:11.933949","indexId":"70223685","displayToPublicDate":"2021-07-30T07:40:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8955,"text":"Nature--Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Multiple climate change-driven tipping points for coastal systems","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>As the climate evolves over the next century, the interaction of accelerating sea level rise (SLR) and storms, combined with confining development and infrastructure, will place greater stresses on physical, ecological, and human systems along the ocean-land margin. Many of these valued coastal systems could reach “tipping points,” at which hazard exposure substantially increases and threatens the present-day form, function, and viability of communities, infrastructure, and ecosystems. Determining the timing and nature of these tipping points is essential for effective climate adaptation planning. Here we present a multidisciplinary case study from Santa Barbara, California (USA), to identify potential climate change-related tipping points for various coastal systems. This study integrates numerical and statistical models of the climate, ocean water levels, beach and cliff evolution, and two soft sediment ecosystems, sandy beaches and tidal wetlands. We find that tipping points for beaches and wetlands could be reached with just 0.25&nbsp;m or less of SLR (~ 2050), with &gt; 50% subsequent habitat loss that would degrade overall biodiversity and ecosystem function. In contrast, the largest projected changes in socioeconomic exposure to flooding for five communities in this region are not anticipated until SLR exceeds 0.75&nbsp;m for daily flooding and 1.5&nbsp;m for storm-driven flooding (~ 2100 or later). These changes are less acute relative to community totals and do not qualify as tipping points given the adaptive capacity of communities. Nonetheless, the natural and human built systems are interconnected such that the loss of natural system function could negatively impact the quality of life of residents and disrupt the local economy, resulting in indirect socioeconomic impacts long before built infrastructure is directly impacted by flooding.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-94942-7","usgsCitation":"Barnard, P.L., Dugan, J., Page, H.M., Wood, N.J., Finzi Hart, J., Cayan, D., Erikson, L.H., Hubbard, D., Myers, M., Melack, J.M., and Iacobellis, S.F., 2021, Multiple climate change-driven tipping points for coastal systems: Nature--Scientific Reports, v. 11, 15560, 13 p., https://doi.org/10.1038/s41598-021-94942-7.","productDescription":"15560, 13 p.","ipdsId":"IP-117825","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-94942-7","text":"Publisher Index Page"},{"id":388719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.61889648437501,\n              34.125447565116126\n            ],\n            [\n              -119.06982421874999,\n              34.125447565116126\n            ],\n            [\n              -119.06982421874999,\n              34.59704151614417\n            ],\n            [\n              -120.61889648437501,\n              34.59704151614417\n            ],\n            [\n              -120.61889648437501,\n              34.125447565116126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2021-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugan, Jenifer","contributorId":174980,"corporation":false,"usgs":false,"family":"Dugan","given":"Jenifer","affiliations":[],"preferred":false,"id":822315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Page, Henry M.","contributorId":219352,"corporation":false,"usgs":false,"family":"Page","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":822316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":822317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finzi Hart, Juliette A.","contributorId":214270,"corporation":false,"usgs":false,"family":"Finzi Hart","given":"Juliette A.","affiliations":[],"preferred":false,"id":822318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":822319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":822320,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hubbard, David A.","contributorId":62540,"corporation":false,"usgs":false,"family":"Hubbard","given":"David A.","affiliations":[],"preferred":false,"id":822321,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Myers, 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