{"pageNumber":"646","pageRowStart":"16125","pageSize":"25","recordCount":165270,"records":[{"id":70208808,"text":"70208808 - 2020 - Assessing the chemistry and bioavailability of dissolved organic matter from glaciers and rock glaciers","interactions":[],"lastModifiedDate":"2020-03-02T12:50:47","indexId":"70208808","displayToPublicDate":"2019-06-26T12:45:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the chemistry and bioavailability of dissolved organic matter from glaciers and rock glaciers","docAbstract":"

As glaciers thaw in response to warming, they release dissolved organic matter (DOM) to alpine lakes and streams. The United States contains an abundance of both alpine glaciers and rock glaciers. Differences in DOM composition and bioavailability between glacier types, like rock and ice glaciers, remain undefined. To assess differences in glacier and rock glacier DOM we evaluated bioavailability and molecular composition of DOM from four alpine catchments each with a glacier and a rock glacier at their headwaters. We assessed bioavailability of DOM by incubating each DOM source with a common microbial community and evaluated chemical characteristics of DOM before and after incubation using untargeted gas chromatography–mass spectrometry‐based metabolomics. Prior to incubations, ice glacier and rock glacier DOM had similar C:N ratios and chemical diversity, but differences in DOM composition. Incubations with a common microbial community showed that DOM from ice glacier meltwaters contained a higher proportion of bioavailable DOM and resulted in greater bacterial growth efficiency. After incubation, DOM composition from each source was statistically indistinguishable. This study provides an example of how MS‐based metabolomics can be used to assess effects of DOM composition on differences in bioavailability of DOM. Furthermore, it illustrates the importance of microbial metabolism in structuring composition of DOM. Even though rock glaciers had significantly less bioavailable DOM than ice glaciers, both glacial types still have potential to be important sources of bioavailable DOM to alpine headwaters over the coming decades.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004874","usgsCitation":"Fegel, T.S., Boot, C.M., Broeckling, C.D., Baron, J., and Hall, E., 2020, Assessing the chemistry and bioavailability of dissolved organic matter from glaciers and rock glaciers: Journal of Geophysical Research: Biogeosciences, v. 124, no. 7, p. 1988-2004, https://doi.org/10.1029/2018JG004874.","productDescription":"17 p.","startPage":"1988","endPage":"2004","ipdsId":"IP-092157","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004874","text":"Publisher Index Page"},{"id":437223,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CW05WB","text":"USGS data release","linkHelpText":"Water chemistry and land cover attributes for The Loch and Sky Pond, Rocky Mountain National Park"},{"id":437222,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A0JNP9","text":"USGS data release","linkHelpText":"Laboratory Incubation results from 2015 for bacterial cell counts, carbon use efficiency, growth efficiency, and dissolved organic matter chemistry from four glacier outflows and four rock glacier outflows in Colorado"},{"id":372779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Arapaho Glacier, Arapaho Rock Glacier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.84915161132812,\n 40.04969396696316\n ],\n [\n -105.43716430664062,\n 40.04969396696316\n ],\n [\n -105.43716430664062,\n 40.445379415215285\n ],\n [\n -105.84915161132812,\n 40.445379415215285\n ],\n [\n -105.84915161132812,\n 40.04969396696316\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Fegel, Timothy S.","contributorId":167462,"corporation":false,"usgs":false,"family":"Fegel","given":"Timothy","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":783471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boot, Claudia M.","contributorId":213577,"corporation":false,"usgs":false,"family":"Boot","given":"Claudia","email":"","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":783472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broeckling, Corey D.","contributorId":222912,"corporation":false,"usgs":false,"family":"Broeckling","given":"Corey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":783490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":783470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Edward K","contributorId":216901,"corporation":false,"usgs":false,"family":"Hall","given":"Edward K","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":783473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204052,"text":"70204052 - 2020 - Establishing genome sizes of focal fishery and aquaculture species along Baja California, Mexico","interactions":[],"lastModifiedDate":"2020-06-04T16:32:07.115911","indexId":"70204052","displayToPublicDate":"2019-06-25T09:50:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Establishing genome sizes of focal fishery and aquaculture species along Baja California, Mexico","docAbstract":"

Genome size—the total haploid content of nuclear DNA— is constant in all cells in individuals within a species, but differs among species. Consequently, the genome size is a quantifiable genetic signature that not only characterizes a species, but it can reflect chromatin modifications, which play fundamental roles in most biological processes that are involved in the manipulation and expression of DNA. This characteristic makes the genome size a crucial parameter for genetic research on endemic aquatic species and for genetic manipulations in aquaculture species. Technologies for genetic assessments and improvements applied to fishery and aquaculture species use genome size values as a means by which hybrids, polyploids, and sex can be identified, when sex chromosomes exist. The objectives of this study were to determine genome sizes of aquatic species with economic and biological importance along the Pacific coast of Mexico, as well as to identify the appropriate reference standards for use in this study. Blood, hemolymph or milt were collected from 10 species occurring along the coast of Baja California: Sablefish Anoplopoma fimbria, Black Snapper Lutjanus novemfasciatus, California Halibut Paralichthys californicus, Pacific Sardine Sardinops sagax, Flag Rockfish Sebastes rubrivinctus, Starry Rockfish Sebastes constellatus, Totoaba Totoaba macdonaldi, Whiteleg Shrimp Litopenaeus vannamei and two Yellowtail Seriola lalandi and S. dorsalis. Nuclear DNA was stained with propidium iodide solution and the genome size was determined by flow cytometry, with results ranging from 0.61 pg (1.22 pg/diploid cell) to 2.59 pg (5.18 pg/diploid cell), with the smallest value in Sablefish and the largest in the Whiteleg Shrimp. No significant differences were detected (P ≤ 0.05) among individuals of the same species; the likely reason behind any dissimilar DNA content values with those from the literature were differences in methodologies or variations in genetics. Red-ear Slider Turtle Trachemys scripta elegans 2.65 pg (5.30 pg/diploid cell) and Red Junglefowl Gallus gallus 1.27 pg (2.54 pg/diploid cell) were chosen as the standards for reference values. These results establish the basis for the Mexican National Aquatic Genetic Resources project supporting genetic improvements for aquaculture and conservation status parameters for fisheries species.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s12686-019-01105-y","usgsCitation":"del Mar Ochoa-Saloma, C., Jenkins, J.A., Segovia, M.A., Del Rio-Portilla, M.A., and Paniagua-Chavez, C.G., 2020, Establishing genome sizes of focal fishery and aquaculture species along Baja California, Mexico: Conservation Genetics Resources, v. 12, p. 301-309, https://doi.org/10.1007/s12686-019-01105-y.","productDescription":"9 p.","startPage":"301","endPage":"309","ipdsId":"IP-089376","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":365244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Baja California","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 32.58384932565662\n ],\n [\n -117.50976562499999,\n 31.914867503276223\n ],\n [\n -116.8505859375,\n 30.90222470517144\n ],\n [\n -115.13671875,\n 28.57487404744697\n ],\n [\n -115.72998046875,\n 28.420391085674304\n ],\n [\n -114.67529296874999,\n 26.62781822639305\n ],\n [\n -112.8515625,\n 25.740529092773226\n ],\n [\n -112.4560546875,\n 24.56710835257599\n ],\n [\n -111.55517578125,\n 23.765236889758672\n ],\n [\n -109.75341796875,\n 22.329752304376473\n ],\n [\n -108.8525390625,\n 23.221154981846556\n ],\n [\n -109.2919921875,\n 24.627044746156027\n ],\n [\n -111.97265625,\n 27.877928333679495\n ],\n [\n -114.43359375,\n 31.297327991404266\n ],\n [\n -114.60937499999999,\n 31.466153715024294\n ],\n [\n -117.158203125,\n 32.58384932565662\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"del Mar Ochoa-Saloma, Constanza","contributorId":216673,"corporation":false,"usgs":false,"family":"del Mar Ochoa-Saloma","given":"Constanza","email":"","affiliations":[{"id":39498,"text":"Departmento de Acuicultura, Centro de Investigacion Cientifica y de Educacion Superior de Ensenada, Baja California (CICESE)","active":true,"usgs":false}],"preferred":false,"id":765289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Segovia, Manuel A.","contributorId":216674,"corporation":false,"usgs":false,"family":"Segovia","given":"Manuel","email":"","middleInitial":"A.","affiliations":[{"id":39498,"text":"Departmento de Acuicultura, Centro de Investigacion Cientifica y de Educacion Superior de Ensenada, Baja California (CICESE)","active":true,"usgs":false}],"preferred":false,"id":765290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Del Rio-Portilla, Miguel A.","contributorId":216675,"corporation":false,"usgs":false,"family":"Del Rio-Portilla","given":"Miguel","email":"","middleInitial":"A.","affiliations":[{"id":39498,"text":"Departmento de Acuicultura, Centro de Investigacion Cientifica y de Educacion Superior de Ensenada, Baja California (CICESE)","active":true,"usgs":false}],"preferred":false,"id":765291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paniagua-Chavez, Carmen G.","contributorId":216676,"corporation":false,"usgs":false,"family":"Paniagua-Chavez","given":"Carmen","email":"","middleInitial":"G.","affiliations":[{"id":39498,"text":"Departmento de Acuicultura, Centro de Investigacion Cientifica y de Educacion Superior de Ensenada, Baja California (CICESE)","active":true,"usgs":false}],"preferred":false,"id":765292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204110,"text":"70204110 - 2020 - Hydroseeding tackifiers and dryland moss restoration potential","interactions":[],"lastModifiedDate":"2024-07-17T21:41:12.423442","indexId":"70204110","displayToPublicDate":"2019-06-17T16:45:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydroseeding tackifiers and dryland moss restoration potential","docAbstract":"

Tackifiers are long‐chain carbon compounds used for soil stabilization and hydroseeding and could provide a vehicle for biological soil crust restoration. We examined the sensitivity of two dryland mosses, Bryum argenteum and Syntrichia ruralis, to three common tackifiers ‐ guar, psyllium, and polyacrylamide (PAM) ‐ at 0.5x, 1.0x, and 2.0x of recommended (x) concentrations for erosion control and revegetation. We measured moss shoot, gemma, and protonema production as well as moss organic matter and bound sand masses as indicators of growth and soil holding ability. We tested sand and tackifier chemistry to investigate potential nutrient and toxicant potential on moss growth. Groups of ten fragments from field‐collected mosses were grown on sand in open petri dishes arranged in a growth chamber in replicated blocks containing each tackifier and concentration combination plus a distilled water control. Bryum (n=10) and Syntrichia (n=9) growth were measured at the end of six and five weeks, respectively. Overall model tests yielded statistically significant results (p<0.001) for every variable in each species. When compared to water, guar tended to decrease growth, psyllium tended to increase growth, and PAM's effects were generally neutral to positive. Within tackifier types, increasing concentrations of guar tended to decrease growth, while increasing concentrations of psyllium tended to increase growth. Changes in PAM concentrations had little effect on growth. Increases in guar and psyllium lowered pH and increased P and K. Psyllium and PAM yielded promising results as potential agents of dispersal and adherence of dryland mosses in field restoration.

","language":"English","publisher":"Wiley","doi":"10.1111/rec.12997","usgsCitation":"Blankenship, W.D., Condon, L.A., and Pyke, D.A., 2020, Hydroseeding tackifiers and dryland moss restoration potential: Restoration Ecology, v. 28, no. S2, p. S127-S138, https://doi.org/10.1111/rec.12997.","productDescription":"12 p.","startPage":"S127","endPage":"S138","ipdsId":"IP-106770","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":458742,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12997","text":"Publisher Index Page"},{"id":365318,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"S2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Blankenship, W. Dillon","contributorId":216798,"corporation":false,"usgs":false,"family":"Blankenship","given":"W.","email":"","middleInitial":"Dillon","affiliations":[{"id":39520,"text":"Oregon State University, Department of Botany and Plant Pathology","active":true,"usgs":false}],"preferred":false,"id":765561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condon, Lea A. 0000-0002-9357-3881","orcid":"https://orcid.org/0000-0002-9357-3881","contributorId":202908,"corporation":false,"usgs":true,"family":"Condon","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":765560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221421,"text":"70221421 - 2020 - Upwelling buffers climate change impacts on coral reefs of the eastern tropical Pacific","interactions":[],"lastModifiedDate":"2021-06-15T11:43:50.746984","indexId":"70221421","displayToPublicDate":"2019-06-15T06:40:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Upwelling buffers climate change impacts on coral reefs of the eastern tropical Pacific","docAbstract":"

Corals of the eastern tropical Pacific live in a marginal and oceanographically dynamic environment. Along the Pacific coast of Panamá, stronger seasonal upwelling in the Gulf of Panamá in the east transitions to weaker upwelling in the Gulf of Chiriquí in the west, resulting in complex regional oceanographic conditions that drive differential coral-reef growth. Over millennial timescales, reefs in the Gulf of Chiriquí recovered more quickly from climatic disturbances compared with reefs in the Gulf of Panamá. In recent decades, corals in the Gulf of Chiriquí have also had higher growth rates than in the Gulf of Panamá. As the ocean continues to warm, however, conditions could shift to favor the growth of corals in the Gulf of Panamá, where upwelling may confer protection from high-temperature anomalies. Here we describe the recent spatial and temporal variability in surface oceanography of nearshore environments in Pacific Panamá and compare those conditions with the dynamics of contemporary coral-reef communities during and after the 2016 coral-bleaching event. Although both gulfs have warmed significantly over the last 150 yr, the annual thermal maximum in the Gulf of Chiriquí is increasing faster, and ocean temperatures there are becoming more variable than in the recent past. In contrast to historical trends, we found that coral cover, coral survival, and coral growth rates were all significantly higher in the Gulf of Panamá. Corals bleached extensively in the Gulf of Chiriquí following the 2015–2016 El Niño event, whereas upwelling in the Gulf of Panamá moderated the high temperatures caused by El Niño, allowing the corals largely to escape thermal stress. As the climate continues to warm, upwelling zones may offer a temporary and localized refuge from the thermal impacts of climate change, while reef growth in the rest of the eastern tropical Pacific continues to decline.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2918","usgsCitation":"Randall, C.J., Toth, L., Leichter, J.J., Mate, J.L., and Aronson, R.B., 2020, Upwelling buffers climate change impacts on coral reefs of the eastern tropical Pacific: Ecology, v. 2, no. 101, e02918, 15 p., https://doi.org/10.1002/ecy.2918.","productDescription":"e02918, 15 p.","ipdsId":"IP-108323","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2918","text":"Publisher Index Page"},{"id":386485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","otherGeospatial":"Gulf of Chiriqui, Gulf of Panama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.9033203125,\n 7.297087564172005\n ],\n [\n -78.7060546875,\n 7.297087564172005\n ],\n [\n -78.7060546875,\n 8.819938928283147\n ],\n [\n -80.9033203125,\n 8.819938928283147\n ],\n [\n -80.9033203125,\n 7.297087564172005\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.7822265625,\n 6.730075707109153\n ],\n [\n -80.48583984375,\n 6.730075707109153\n ],\n [\n -80.48583984375,\n 8.080984688871991\n ],\n [\n -81.7822265625,\n 8.080984688871991\n ],\n [\n -81.7822265625,\n 6.730075707109153\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"101","noUsgsAuthors":false,"publicationDate":"2020-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Randall, Carly J. 0000-0001-8112-3552","orcid":"https://orcid.org/0000-0001-8112-3552","contributorId":212696,"corporation":false,"usgs":false,"family":"Randall","given":"Carly","email":"","middleInitial":"J.","affiliations":[{"id":32935,"text":"Australian Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":817646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leichter, James J 0000-0003-4224-0355","orcid":"https://orcid.org/0000-0003-4224-0355","contributorId":260265,"corporation":false,"usgs":false,"family":"Leichter","given":"James","email":"","middleInitial":"J","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":817648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mate, Juan L 0000-0002-4423-4816","orcid":"https://orcid.org/0000-0002-4423-4816","contributorId":260268,"corporation":false,"usgs":false,"family":"Mate","given":"Juan","email":"","middleInitial":"L","affiliations":[{"id":12671,"text":"Smithsonian Tropical Research Institute","active":true,"usgs":false}],"preferred":false,"id":817649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":817650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223473,"text":"70223473 - 2020 - Comparing grasshopper (Orthoptera: Acrididae) communities on tallgrass prairie reconstructions and remnants in Missouri","interactions":[],"lastModifiedDate":"2021-08-27T13:20:07.794927","indexId":"70223473","displayToPublicDate":"2019-06-14T08:16:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2003,"text":"Insect Conservation and Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Comparing grasshopper (Orthoptera: Acrididae) communities on tallgrass prairie reconstructions and remnants in Missouri","docAbstract":"
  1. Tallgrass prairies, which once occupied a large swath of central North America, face the combined challenges of habitat loss and fragmentation. In Missouri, where less than 1% the historical prairie remains, prairies are being reconstructed from agricultural or wooded land.
  2. Invertebrates are often assumed to colonise reconstructions if native vegetation returns; however, the limited mobility of many invertebrates, the isolation of many tallgrass remnants, and the difficulty in establishing prairie plants raise serious questions as to whether invertebrate communities on reconstructed prairies are and will be equivalent to those found on remnant prairies.
  3. Grasshoppers (Acrididae) display a range of dispersal capabilities and may be valuable for assessing the success of prairie restoration for invertebrates.
  4. Our first objective was to compare grasshopper communities on reconstructed and remnant prairies and, if differences existed, identify species or functional groups associated with each habitat type. The second objective was to evaluate the effect of time because prairie reconstruction on grasshopper communities to determine if communities on reconstructions are converging with communities on remnants.
  5. Our results suggest that prairie reconstructions in Missouri do not support the same communities of grasshoppers as prairie remnants.
  6. Grasshopper diversity was generally greater on remnants. Many species had not colonised nearby reconstructions.
  7. Communities on prairie reconstructions were characterised by a few long-winged, generalist species that are typically successful in agroecosystems.
  8. Further investigation into the habitat disparities driving low grasshopper diversity on reconstructions could help restore the grasshopper community of reconstructions.
","language":"English","publisher":"Wiley","doi":"10.1111/icad.12365","usgsCitation":"LaRose, J.P., Webb, E.B., and Finke, D.L., 2020, Comparing grasshopper (Orthoptera: Acrididae) communities on tallgrass prairie reconstructions and remnants in Missouri: Insect Conservation and Diversity, v. 13, no. 1, p. 23-35, https://doi.org/10.1111/icad.12365.","productDescription":"13 p.","startPage":"23","endPage":"35","ipdsId":"IP-103357","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"LaRose, J. P.","contributorId":264878,"corporation":false,"usgs":false,"family":"LaRose","given":"J.","email":"","middleInitial":"P.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":822118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finke, D. L.","contributorId":264879,"corporation":false,"usgs":false,"family":"Finke","given":"D.","email":"","middleInitial":"L.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":822120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221772,"text":"70221772 - 2020 - Hydraulic tomography: 3D hydraulic conductivity, fracture network, and connectivity in mudstone","interactions":[],"lastModifiedDate":"2021-07-02T12:19:27.708888","indexId":"70221772","displayToPublicDate":"2019-06-12T07:14:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic tomography: 3D hydraulic conductivity, fracture network, and connectivity in mudstone","docAbstract":"

We present the first demonstration of hydraulic tomography (HT) to estimate the three-dimensional (3D) hydraulic conductivity (K) distribution of a fractured aquifer at high-resolution field scale (HRFS), including the fracture network and connectivity through it. We invert drawdown data collected from packer-isolated borehole intervals during 42 pumping tests in a wellfield at the former Naval Air Warfare Center, West Trenton, New Jersey, in the Newark Basin. Five additional tests were reserved for a quality check of HT results. We used an equivalent porous medium forward model and geostatistical inversion to estimate 3D K at high resolution (K blocks <1 m3), using no strict assumptions about K variability or fracture statistics. The resulting 3D K estimate ranges from approximately 0.1 (highest-K fractures) to approximately 10−13 m/s (unfractured mudstone). Important estimated features include: (1) a highly fractured zone (HFZ) consisting of a sequence of high-K bedding-plane fractures; (2) a low-K zone that disrupts the HFZ; (3) several secondary fractures of limited extent; and (4) regions of very low-K rock matrix. The 3D K estimate explains complex drawdown behavior observed in the field. Drawdown tracing and particle tracking simulations reveal a 3D fracture network within the estimated K distribution, and connectivity routes through the network. Model fit is best in the shallower part of the wellfield, with high density of observations and tests. The capabilities of HT demonstrated for 3D fractured aquifer characterization at HRFS may support improved in situ remediation for contaminant source zones, and applications in mining, repository assessment, or geotechnical engineering.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12915","usgsCitation":"Tiedeman, C.R., and Barrash, W., 2020, Hydraulic tomography: 3D hydraulic conductivity, fracture network, and connectivity in mudstone: Groundwater, v. 58, no. 2, p. 238-257, https://doi.org/10.1111/gwat.12915.","startPage":"238","endPage":"257","ipdsId":"IP-106467","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":489079,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.boisestate.edu/cgiss_facpubs/243","text":"External Repository"},{"id":437224,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QUV0TS","text":"USGS data release","linkHelpText":"MODFLOW-2005 and MODPATH models used to simulate hydraulic tomography pumping tests and identify a fracture network, former Naval Air Warfare Center, West Trenton, NJ"},{"id":386932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Naval Air Warfare Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.82925415039062,\n 40.19251207621169\n ],\n [\n -74.68231201171875,\n 40.19251207621169\n ],\n [\n -74.68231201171875,\n 40.28895415740959\n ],\n [\n -74.82925415039062,\n 40.28895415740959\n ],\n [\n -74.82925415039062,\n 40.19251207621169\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":818677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrash, Warren","contributorId":206193,"corporation":false,"usgs":false,"family":"Barrash","given":"Warren","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":818678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223487,"text":"70223487 - 2020 - Bridging the gap between salmon spawner abundance and marine nutrient assimilation by juvenile salmon: Seasonal cycles and landscape effects at the watershed scale","interactions":[],"lastModifiedDate":"2021-08-30T13:19:09.53628","indexId":"70223487","displayToPublicDate":"2019-06-08T08:15:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Bridging the gap between salmon spawner abundance and marine nutrient assimilation by juvenile salmon: Seasonal cycles and landscape effects at the watershed scale","docAbstract":"

Anadromous Pacific salmon are semelparous, and resource subsidies from spawning adults (marine-derived nutrients, or MDN) benefit juvenile salmonids rearing in freshwater. However, it remains unclear how MDN assimilation relates to spawner abundance within a watershed. To address this, we examined seasonal, watershed-scale patterns of MDN assimilation in rearing coho (Oncorhynchus kisutch) and Chinook (O. tshawytscha) salmon and compared it with spawner biomass and landscape features in a western Alaska watershed with contrasting structural complexity in two sub-drainages. Adult salmon biomass density was estimated from escapement and spawner distribution data, and MDN assimilation in juvenile salmon was estimated via stable isotopes. In the North River, MDN assimilation was lowest in early summer, prior to annual spawning migrations, increased after spawning, and peaked in late winter. In the more complex mainstem Unalakleet River, MDN assimilation was higher but varied minimally from summer through fall before increasing in late fall and winter. Summer MDN assimilation, prior to salmon spawning, was primarily a function of habitat complexity, where MDN was highest in sloughs and the more complex mainstem river. After salmon spawned, fall MDN assimilation was a function of adult pink and Chinook salmon biomass as well as MDN assimilation that occurred prior to spawning (that is, summer MDN), but unrelated to total summer biomass (all salmon species biomass combined). Thus, MDN assimilation by juvenile salmon in the fall was a function of species-specific adult spawner abundance but seasonal patterns of MDN assimilation were masked in complex habitat where summer MDN assimilation remained high.

","language":"English","publisher":"Springer","doi":"10.1007/s10021-019-00406-5","usgsCitation":"Joy, P., Stricker, C.A., Ivanoff, R., Wipfli, M.S., Seitz, A., and Tyers, M., 2020, Bridging the gap between salmon spawner abundance and marine nutrient assimilation by juvenile salmon: Seasonal cycles and landscape effects at the watershed scale: Ecosystems, v. 23, p. 338-358, https://doi.org/10.1007/s10021-019-00406-5.","productDescription":"21 p.","startPage":"338","endPage":"358","ipdsId":"IP-103525","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Unalakleet River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.3671875,\n 63.35212928507874\n ],\n [\n -156.09375,\n 63.35212928507874\n ],\n [\n -156.09375,\n 65.164578884019\n ],\n [\n -161.3671875,\n 65.164578884019\n ],\n [\n -161.3671875,\n 63.35212928507874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2019-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Joy, Philip J.","contributorId":264888,"corporation":false,"usgs":false,"family":"Joy","given":"Philip J.","affiliations":[{"id":54573,"text":"AK FG","active":true,"usgs":false}],"preferred":false,"id":822142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivanoff, Renae","contributorId":264889,"corporation":false,"usgs":false,"family":"Ivanoff","given":"Renae","affiliations":[{"id":54574,"text":"norton sound","active":true,"usgs":false}],"preferred":false,"id":822144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seitz, Andrew C.","contributorId":264890,"corporation":false,"usgs":false,"family":"Seitz","given":"Andrew C.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":822146,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tyers, Matthew","contributorId":264891,"corporation":false,"usgs":false,"family":"Tyers","given":"Matthew","email":"","affiliations":[{"id":54573,"text":"AK FG","active":true,"usgs":false}],"preferred":false,"id":822147,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208110,"text":"70208110 - 2020 - Spatial and temporal diving behavior of non-breeding common murres during two summers of contrasting ocean conditions","interactions":[],"lastModifiedDate":"2020-01-27T19:16:02","indexId":"70208110","displayToPublicDate":"2019-06-05T19:01:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal diving behavior of non-breeding common murres during two summers of contrasting ocean conditions","docAbstract":"Successful foraging of marine predators depends on environmental conditions, which also influence prey availability. Neutral or negative El Niño Southern Oscillation and Pacific Decadal Oscillation ocean conditions during the summer of 2013 and strongly positive conditions during the summer of 2015 in the northern California Current System provided a case study to evaluate a marine predator's response to anomalously warm conditions. We used satellite transmitters with saltwater switches to track movements and estimate dive behavior among non-breeding common murres (Uria aalge) off Oregon prior to and during a marine heatwave. We quantified differences in space-use between years, applied linear mixed models to determine environmental influences (e.g. sea surface temperature, surface salinity, chlorophyll a, ocean depth, and calendar date) on dive frequency and dive duration, and contrasted dive activity between time of day, year, and sexes. The majority of birds dispersed away from capture locations, which were situated near the southern range limit of their population. In both years, murres used the Salish Sea and the Columbia River plume; however, murres spent more time foraging in the Columbia River plume and in continental slope habitat during the marine heatwave of 2015. During 2015, dive frequency was reduced, and dive durations were almost twice as long during daytime indicating deeper or more dispersed prey. Increased dive frequency was positively associated with temperature, chlorophyll a, and crepuscular periods. Cluster analysis of dive activity and the top-ranked predictive dive duration model revealed associations between longer-duration dives and decreased dive frequency, marine slope habitat, and cooler ocean temperatures. Murres were relatively inactive throughout the night and we found no sex differences in dive activity. Changes in common murre foraging tactics were associated with ocean warming and revealed selectivity in spatial and temporal use of foraging habitats. Productive marine features including the Columbia River plume provided refuge for murres during apparently poor ocean conditions associated with the marine heatwave. Identifying refuge areas used by highly mobile species experiencing varying ocean conditions is critical for adaptive marine spatial planning that can accommodate a changing ocean climate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2019.05.009","usgsCitation":"Laredo, S.A., Orben, R.A., Suryan, R.M., Lyons, D.E., and Adams, J., 2020, Spatial and temporal diving behavior of non-breeding common murres during two summers of contrasting ocean conditions: Journal of Experimental Marine Biology and Ecology, p. 13-24, https://doi.org/10.1016/j.jembe.2019.05.009.","productDescription":"12 p.","startPage":"13","endPage":"24","ipdsId":"IP-106354","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371613,"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 -124.69482421875,\n 42.00032514831621\n ],\n [\n -124.71679687499999,\n 40.39676430557203\n ],\n [\n -124.18945312500001,\n 38.90813299596705\n ],\n [\n -122.51953124999999,\n 37.579412513438385\n ],\n [\n -119.20166015625,\n 38.565347844885466\n ],\n [\n -119.970703125,\n 39.198205348894795\n ],\n [\n -119.92675781249999,\n 41.96765920367816\n ],\n [\n -124.69482421875,\n 42.00032514831621\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Laredo, Stephanie A","contributorId":221850,"corporation":false,"usgs":false,"family":"Laredo","given":"Stephanie","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":780501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orben, Rachael A 0000-0002-0802-407X","orcid":"https://orcid.org/0000-0002-0802-407X","contributorId":221851,"corporation":false,"usgs":false,"family":"Orben","given":"Rachael","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":780502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suryan, Robert M. 0000-0003-0755-8317","orcid":"https://orcid.org/0000-0003-0755-8317","contributorId":221852,"corporation":false,"usgs":false,"family":"Suryan","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":40443,"text":"Oregon State University, NOAA","active":true,"usgs":false}],"preferred":false,"id":780503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, Donald E.","contributorId":204663,"corporation":false,"usgs":false,"family":"Lyons","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":780504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208104,"text":"70208104 - 2020 - Conservation reliance of a threatened snake on rice agriculture","interactions":[],"lastModifiedDate":"2020-01-27T19:38:32","indexId":"70208104","displayToPublicDate":"2019-06-01T19:37:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation reliance of a threatened snake on rice agriculture","docAbstract":"Conservation-reliant species require perpetual management by humans to persist. But do species that persist largely in human-dominated landscapes actually require conditions maintained by humans? Because most extant populations of giant gartersnakes (Thamnophis gigas) inhabit the highly modified rice agricultural regions of the Sacramento Valley, we sought to evaluate whether giant gartersnakes are indeed a conservation-reliant species dependent on maintenance of rice agriculture and its infrastructure for their continued existence. Specifically, we examined the extent to which giant gartersnakes use rice fields themselves, and whether survival of adult giant gartersnakes was influenced by the amount of rice grown near their home ranges and daily movements. We found that although giant gartersnakes only use rice fields minimally and then only between mid-June and early September, their survival was lower when less rice agriculture was available near the areas they inhabited. Survival was particularly low in early spring, when giant gartersnakes emerge from brumation but rice fields are not yet flooded. The incongruity between the phenology of rice growing and giant gartersnake foraging requirements suggests that although giant gartersnakes are reliant on the rice agroecosystem, rice agriculture is likely suboptimal habitat for giant gartersnakes. Giant gartersnakes’ reliance on the rice agroecosystem challenges the notion of preservation-based conservation, but provides opportunities for win-win scenarios benefitting both rice farmers and giant gartersnakes. Our study highlights that in addition to land use, the timing of land management might be crucial for conservation-reliant species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00681","usgsCitation":"Halstead, B., Rose, J.P., Reyes, G., Wylie, G., and Casazza, M.L., 2020, Conservation reliance of a threatened snake on rice agriculture: Global Ecology and Conservation, v. 19, e00681, https://doi.org/10.1016/j.gecco.2019.e00681.","productDescription":"e00681","ipdsId":"IP-106828","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00681","text":"Publisher Index Page"},{"id":371621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reyes, Gabriel 0000-0001-9281-5300 greyes@usgs.gov","orcid":"https://orcid.org/0000-0001-9281-5300","contributorId":221838,"corporation":false,"usgs":true,"family":"Reyes","given":"Gabriel","email":"greyes@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Glenn D. 0000-0002-7061-6658","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":207594,"corporation":false,"usgs":false,"family":"Wylie","given":"Glenn D.","affiliations":[],"preferred":false,"id":780476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780475,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228062,"text":"70228062 - 2020 - Validity of age estimates from muskellunge (Esox masquinongy) fin rays and associated effects on estimates of growth","interactions":[],"lastModifiedDate":"2022-02-03T14:50:01.139252","indexId":"70228062","displayToPublicDate":"2019-05-29T08:37:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Validity of age estimates from muskellunge (Esox masquinongy) fin rays and associated effects on estimates of growth","title":"Validity of age estimates from muskellunge (Esox masquinongy) fin rays and associated effects on estimates of growth","docAbstract":"

Accurate age estimates are critical for understanding life histories of fishes and developing management strategies for fish populations. However, validation of age estimates requires known-age fish, which are often lacking. We used known-age (ages 1–25) muskellunge (Esox masquinongy) to determine the precision and accuracy of age estimates from fin rays. We also determined whether fin location (anal or pelvic), fin ray number, and preparation methods affected accuracy and precision. Lastly, we determined whether von Bertalanffy growth parameters estimated from fin ray ages were similar to parameters estimated from known ages. Precision and accuracy of age estimates from anal and pelvic rays were similar and estimates were relatively precise (coefficient of variation = 8.5%) and accurate (mean absolute difference from known age = 0.85 years) for ages 4–15, but ages were overestimated for younger fish and underestimated for older fish. Growth models based on estimated age were similar to models based on known age. Anal and pelvic rays offer a nonlethal alternative for age estimation of muskellunge ages 4–15 and for producing reliable estimates of growth.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0404","usgsCitation":"Crane, D.P., Cornett, M.R., Bauerlien, C.J., Hawkins, M.L., Isermann, D.A., Hansbarger, J., Kapuscinski, K., Meerbeek, J., Simonson, T., and Kampa, J.M., 2020, Validity of age estimates from muskellunge (Esox masquinongy) fin rays and associated effects on estimates of growth: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 1, p. 69-80, https://doi.org/10.1139/cjfas-2018-0404.","productDescription":"12 p.","startPage":"69","endPage":"80","ipdsId":"IP-101788","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501021,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/96798","text":"External Repository"},{"id":395345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, 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0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansbarger, Jeff L.","contributorId":274437,"corporation":false,"usgs":false,"family":"Hansbarger","given":"Jeff L.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":832997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kapuscinski, Kevin L.","contributorId":274440,"corporation":false,"usgs":false,"family":"Kapuscinski","given":"Kevin L.","affiliations":[{"id":35243,"text":"Lake Superior State University","active":true,"usgs":false}],"preferred":false,"id":832998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meerbeek, Jonathan R.","contributorId":274444,"corporation":false,"usgs":false,"family":"Meerbeek","given":"Jonathan R.","affiliations":[{"id":39338,"text":"Iowa DNR","active":true,"usgs":false}],"preferred":false,"id":832999,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simonson, Timothy D.","contributorId":274445,"corporation":false,"usgs":false,"family":"Simonson","given":"Timothy D.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":833000,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kampa, Jeffrey M.","contributorId":274447,"corporation":false,"usgs":false,"family":"Kampa","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":833001,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70204192,"text":"70204192 - 2020 - Trends in biodiversity and habitat quantification tools used for market‐based conservation in the United States","interactions":[],"lastModifiedDate":"2020-02-06T10:46:25","indexId":"70204192","displayToPublicDate":"2019-05-24T12:02:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Trends in biodiversity and habitat quantification tools used for market‐based conservation in the United States","docAbstract":"Market-based conservation mechanisms are designed to facilitate conservation and mitigation actions for habitat and biodiversity. Their potential is partly hindered, however, by issues surrounding the quantification tools used to assess habitat quality and functionality. Specifically, a lack of transparency and standardization in tool development and gaps in tool availability are cited concerns. To address these issues, we collected information about tools used in United States conservation mechanisms such as eco-label and payments for ecosystem services (PES) programs, conservation banking, and habitat exchanges. We summarized information about tools and explored trends among and within mechanisms using criteria detailing geographic, ecological, and technical features of tools. We identified 69 tools that assessed at least 34 species and 39 habitat types. Where tools reported pricing, 98% were freely available. Most tools required a moderate or greater level of user skill. More tools were applied to states along the west coast of the United States than elsewhere and the level of tool transferability varied markedly among mechanisms. Tools most often incorporated conditions at numerous spatial scales, frequently addressed multiple risks to site viability, and required from 1 to 83 data inputs. Finally, average tool complexity estimates were similar among all mechanisms except PES programs. Our results illustrate the diversity among tools in their ecological features, data needs, and geographic application, supporting concerns about a lack of standardization. However, consistency among tools in user skill requirements, the incorporation of multiple spatial scales, and complexity highlight important commonalities that could serve as a starting point for establishing more standardized tool development and feature incorporation processes. Greater standardization in tool design may not only expand market participation, but may also facilitate a needed assessment of the effectiveness of market-based conservation.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13349","usgsCitation":"Chiavacci, S.J., and Pindilli, E., 2020, Trends in biodiversity and habitat quantification tools used for market‐based conservation in the United States: Conservation Biology, v. 34, no. 1, p. 125-136, https://doi.org/10.1111/cobi.13349.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-100463","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":458757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13349","text":"Publisher Index Page"},{"id":365465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":765938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":765939,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222620,"text":"70222620 - 2020 - Kinematic rupture modeling of ground motion from the M7 Kumamoto, Japan earthquake","interactions":[],"lastModifiedDate":"2021-08-09T13:06:50.0225","indexId":"70222620","displayToPublicDate":"2019-05-22T08:04:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Kinematic rupture modeling of ground motion from the M7 Kumamoto, Japan earthquake","docAbstract":"

We analyzed a kinematic earthquake rupture generator that combines the randomized spatial field approach of Graves and Pitarka (Bull Seismol Soc Am 106:2136–2153, 2016) (GP2016) with the multiple asperity characterization approach of Irikura and Miyake (Pure Appl Geophys 168:85–104, 2011) (IM2011, also known as Irikura recipe). The rupture generator uses a multi-scale hybrid approach that incorporates distinct features of both original approaches, such as small-scale stochastic rupture variability and depth-dependent scaling of rupture speed and slip rate, inherited from GP2016, and specification of discrete high slip rupture patches, inherited from IM2011. The performance of the proposed method is examined in simulations of broadband ground motion from the 2016 Kumamoto, Japan earthquake, as well as comparisons with ground motion prediction equations (GMPEs). We generated rupture models with multi-scale heterogeneity, including a hybrid one in which the slip is a combination of high- slip patches and stochastic small scale variations. We find that the ground motions simulated with these rupture models match the general characteristics of the recorded near-fault motion equally well, over a broad frequency range (0–10 Hz). Additionally, the simulated ground motion is in good agreement with the predictions from Ground Motion Prediction Equations (GMPEs). Nonetheless, due to sensitivity of the ground motion to the local fault rupture characteristics, the performance among the models at near-fault sites is slightly different, with the hybrid model producing a somewhat better fit to the recorded ground velocity waveforms. Sensitivity tests of simulated near-fault ground motion to variations in the prescribed kinematic rupture parameters show that average rupture speeds higher than the default value in GP2016 (average rupture speed = 80% of local shear wave speed), as well as slip rate durations shorter than the default value in GP2016 (rise time coefficient = 1.6), generate ground motions that are higher than the recorded ones at periods longer than 1 s. We found that these two parameters also affect the along strike and updip rupture directivity effects, as illustrated in comparisons with the Kumamoto observations.

","language":"English","publisher":"Springer","doi":"10.1007/s00024-019-02220-5","usgsCitation":"Pitarka, A., Graves, R., Irikura, K., Miyakoshi, K., and Rogers, A., 2020, Kinematic rupture modeling of ground motion from the M7 Kumamoto, Japan earthquake: Pure and Applied Geophysics, v. 177, p. 2199-2221, https://doi.org/10.1007/s00024-019-02220-5.","productDescription":"23 p.","startPage":"2199","endPage":"2221","ipdsId":"IP-107249","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":458760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-019-02220-5","text":"Publisher Index Page"},{"id":387771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Kumamoto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 129.638671875,\n 31.784216884487385\n ],\n [\n 131.81396484375,\n 31.784216884487385\n ],\n [\n 131.81396484375,\n 33.614619292333806\n ],\n [\n 129.638671875,\n 33.614619292333806\n ],\n [\n 129.638671875,\n 31.784216884487385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"177","noUsgsAuthors":false,"publicationDate":"2019-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Pitarka, Arben","contributorId":184062,"corporation":false,"usgs":false,"family":"Pitarka","given":"Arben","email":"","affiliations":[],"preferred":false,"id":820783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irikura, Kojiro","contributorId":197122,"corporation":false,"usgs":false,"family":"Irikura","given":"Kojiro","email":"","affiliations":[],"preferred":false,"id":820785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyakoshi, Ken","contributorId":261915,"corporation":false,"usgs":false,"family":"Miyakoshi","given":"Ken","email":"","affiliations":[{"id":53080,"text":"Georesearch Institute","active":true,"usgs":false}],"preferred":false,"id":820786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rogers, Artie","contributorId":261916,"corporation":false,"usgs":false,"family":"Rogers","given":"Artie","email":"","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":820787,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217878,"text":"70217878 - 2020 - Revisiting “An Exercise in Groundwater Model Calibration and Prediction” after 30 years: Insights and New Directions","interactions":[],"lastModifiedDate":"2021-02-09T13:19:53.893989","indexId":"70217878","displayToPublicDate":"2019-05-22T07:18:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting “An Exercise in Groundwater Model Calibration and Prediction” after 30 years: Insights and New Directions","docAbstract":"

In 1988, an important publication moved model calibration and forecasting beyond case studies and theoretical analysis. It reported on a somewhat idyllic graduate student modeling exercise where many of the system properties were known; the primary forecasts of interest were heads in pumping wells after a river was modified. The model was calibrated using manual trial‐and‐error approaches where a model's forecast quality was not related to how well it was calibrated. Here, we investigate whether tools widely available today obviate the shortcomings identified 30 years ago. A reconstructed version of the 1988 true model was tested using increasing parameter estimation sophistication. The parameter estimation demonstrated the inverse problem was non‐unique because only head data were available for calibration. When a flux observation was included, current parameter estimation approaches were able to overcome all calibration and forecast issues noted in 1988. The best forecasts were obtained from a highly parameterized model that used pilot points for hydraulic conductivity and was constrained with soft knowledge. Like the 1988 results, however, the best calibrated model did not produce the best forecasts due to parameter overfitting. Finally, a computationally frugal linear uncertainty analysis demonstrated that the single‐zone model was oversimplified, with only half of the forecasts falling within the calculated uncertainty bounds. Uncertainties from the highly parameterized models had all six forecasts within the calculated uncertainty. The current results outperformed those of the 1988 effort, demonstrating the value of quantitative parameter estimation and uncertainty analysis methods.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12907","usgsCitation":"Hunt, R., Fienen, M., and White, J., 2020, Revisiting “An Exercise in Groundwater Model Calibration and Prediction” after 30 years: Insights and New Directions: Groundwater, v. 58, no. 2, p. 168-182, https://doi.org/10.1111/gwat.12907.","productDescription":"15 p.","startPage":"168","endPage":"182","ipdsId":"IP-102385","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":458763,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12907","text":"Publisher Index Page"},{"id":437225,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96A7ZC9","text":"USGS data release","linkHelpText":" MODFLOW-2005 Models for Revisiting 'An Exercise in Groundwater Model Calibration and Prediction'"},{"id":383147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":208800,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[],"preferred":true,"id":810014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":810016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204116,"text":"70204116 - 2020 - Songbird feathers as indicators of mercury exposure: High variability and low predictive power suggest limitations","interactions":[],"lastModifiedDate":"2020-10-13T22:41:23.738102","indexId":"70204116","displayToPublicDate":"2019-05-21T09:58:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Songbird feathers as indicators of mercury exposure: High variability and low predictive power suggest limitations","docAbstract":"

Although feathers are commonly used to monitor mercury (Hg) in avian populations, their reliability as a sampling matrix has not been thoroughly assessed for many avian species, including most songbirds (Order Passeriformes). To better understand relationships between total Hg (THg) concentrations in feathers and other tissues for birds in the thrush and sparrow families, we (1) examined variation in THg concentrations among tissues, including feathers from six different tracts, nails, liver, and muscle; (2) tested relationships between THg concentrations in the various feather tracts and those in internal tissues from the same birds, to assess the predictive power of feather THg, and; (3) compared these relationships to those between THg concentrations in nails and internal tissues, to assess the viability of nails as a non-lethal sampling alternative. THg concentrations in all feather tracts and nails were consistently higher than those in the liver and muscle, and THg was higher in the thrushes than the sparrows. When comparing feather tracts, we observed high variation within some individuals, suggesting that estimates of Hg exposure could vary depending on which feather was sampled. Despite this variation, feather type had little effect on the predictive power of feather THg concentrations, which ranged from extremely weak in the sparrows (0.09 ≤ R2 ≤ 0.16) to moderate (0.29 ≤ R2 ≤ 0.42) in the thrushes. Alternatively, we found that nail samples better predicted internal tissue THg concentrations in both the thrushes (0.44 ≤ R2 ≤ 0.48) and sparrows (0.70 ≤ R2 ≤ 0.78). Nails have been used to monitor Hg in mammals and reptiles, but their reliability as a sampling matrix for monitoring Hg in avian populations has yet to be assessed for most taxa. While nails exhibit stronger relationships to internal tissue THg concentrations, they may not be an effective sampling option for all avian species because the collection of sizable nail samples could harm living birds, particularly small songbirds. However, this method may be reasonable for retrospective museum studies. Overall, our results suggest that, despite their current use in the literature, feathers are not a suitable sampling matrix for Hg monitoring in some songbird species.

","language":"English","publisher":"Springer","doi":"10.1007/s10646-019-02052-y","usgsCitation":"Low, K.E., Ramsden, D.K., Jackson, A., Emery, C., Robinson, W.D., Randolph, J., and Eagles-Smith, C.A., 2020, Songbird feathers as indicators of mercury exposure: High variability and low predictive power suggest limitations: Ecotoxicology, v. 29, p. 1281-1292, https://doi.org/10.1007/s10646-019-02052-y.","productDescription":"12 p.","startPage":"1281","endPage":"1292","ipdsId":"IP-096266","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":437226,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C2S6DQ","text":"USGS data release","linkHelpText":"Mercury concentrations in songbird feathers and tissues"},{"id":365328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Low, Katherine E.","contributorId":215868,"corporation":false,"usgs":false,"family":"Low","given":"Katherine","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":765584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsden, Danielle K.","contributorId":216803,"corporation":false,"usgs":false,"family":"Ramsden","given":"Danielle","email":"","middleInitial":"K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":765585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, Allyson K.","contributorId":156248,"corporation":false,"usgs":false,"family":"Jackson","given":"Allyson K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":765586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emery, Colleen 0000-0002-1208-3224","orcid":"https://orcid.org/0000-0002-1208-3224","contributorId":215534,"corporation":false,"usgs":true,"family":"Emery","given":"Colleen","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, W. Douglas","contributorId":215870,"corporation":false,"usgs":false,"family":"Robinson","given":"W.","email":"","middleInitial":"Douglas","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":765588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randolph, Jim","contributorId":215871,"corporation":false,"usgs":false,"family":"Randolph","given":"Jim","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":765589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765583,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203907,"text":"70203907 - 2020 - Advances in computational morphodynamics using the International River Interface Cooperative (iRIC) software","interactions":[],"lastModifiedDate":"2020-02-06T10:39:11","indexId":"70203907","displayToPublicDate":"2019-05-20T13:54:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Advances in computational morphodynamics using the International River Interface Cooperative (iRIC) software","docAbstract":"Results from computational morphodynamics modeling of coupled flow-bed-sediment systems are described for ten applications as a review of recent advances in the field. Each of these applications is drawn from solvers included in the public-domain International River Interface Cooperative (iRIC) software package. For mesoscale river features such as bars, predictions of alternate and higher mode river bars are shown for flows with equilibrium sediment supply and for a single case of oversupplied sediment. For microscale bed features such as bedforms, computational results are shown for the development and evolution of two-dimensional bedforms using a simple closure-based two-dimensional model, for two- and three-dimensional ripples and dunes using a three-dimensional large-eddy simulation flow model coupled to a physics-based particle transport model, and for the development of bed streaks using a three-dimensional unsteady Reynolds-averaged Navier-Stokes solver with a simple sediment-transport treatment. Finally, macroscale or channel evolution treatments are used to examine the temporal development of meandering channels, a failure model for cantilevered banks, the effect of bank vegetation on channel width, the development of channel networks in tidal systems, and the evolution of bedrock channels. In all examples, computational morphodynamics results from iRIC solvers are shown to compare well to observations of natural bed morphology. For each of the three scales investigated here, brief suggestions for future work and potential research directions are offered.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4653","usgsCitation":"Shimizu, Y., and Nelson, J.M., 2020, Advances in computational morphodynamics using the International River Interface Cooperative (iRIC) software: Earth Surface Processes and Landforms, v. 45, no. 1, p. 11-37, https://doi.org/10.1002/esp.4653.","productDescription":"27 p.","startPage":"11","endPage":"37","ipdsId":"IP-102150","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467309,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4653","text":"Publisher Index Page"},{"id":364844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364841,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/esp.4653"}],"volume":"45","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shimizu, Yasuyuki","contributorId":173790,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":764699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":764698,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203621,"text":"70203621 - 2020 - Ecosystem processes, landcover, climate, and human settlement shape dynamic distributions for golden eagle across the western US","interactions":[],"lastModifiedDate":"2020-02-07T06:35:42","indexId":"70203621","displayToPublicDate":"2019-05-15T08:39:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem processes, landcover, climate, and human settlement shape dynamic distributions for golden eagle across the western US","docAbstract":"

Species–environment relationships for highly mobile species outside of the breeding season are often highly dynamic in response to the collective effects of ever‐changing climatic conditions, food resources, and anthropogenic disturbance. Capturing dynamic space‐use patterns in a model‐based framework is critical as model inference often drives place‐based conservation planning. We applied dynamic occupancy models to broad‐scale golden eagle Aquila chrysaetos survey data collected annually from 2006 to 2012 during the late summer post‐fledging period in the western US. We defined survey sites as 10 km transect segments with a 1 km buffer on either transect side (n = 3540). Derived estimates of occupancy were low (4.4–7.9%) and turnover rates – the probability that occupied sites were newly occupied – were high (88–94%), demonstrating that annual transiency in occupancy dominates late summer behavior for golden eagles. Despite low philopatry during late summer, variation in golden eagle occupancy could be explained by a suite of land cover and annual‐varying covariates including gross primary productivity, drought severity, and human disturbance. Our summary of 13 years of predicted occupancy by golden eagles across the western United States identified areas that are consistently used and that may contribute significantly to golden eagle conservation. Restricting development and targeting mitigation efforts in these areas offers practitioners a framework for conservation prioritization.

","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.12511","usgsCitation":"Tack, J.D., Noon, B., Bowen, Z.H., and Fedy, B., 2020, Ecosystem processes, landcover, climate, and human settlement shape dynamic distributions for golden eagle across the western US: Animal Conservation, v. 23, no. 1, p. 72-82, https://doi.org/10.1111/acv.12511.","productDescription":"11 p.","startPage":"72","endPage":"82","ipdsId":"IP-087715","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12511","text":"Publisher Index Page"},{"id":364168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nebraska, Nevada, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-96.443408,42.489495],[-96.079915,41.757895],[-96.089714,41.531778],[-95.871489,41.295797],[-95.885349,40.721093],[-95.336242,40.019104],[-102.051744,40.003078],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-97.229039,49.000687],[-97.116185,48.709348],[-97.145243,48.174046],[-96.854812,47.606328],[-96.774763,46.607461],[-96.557952,46.102442],[-96.612512,45.794442],[-96.82616,45.654164],[-96.452315,45.208986],[-96.453049,43.500415],[-96.591213,43.500514],[-96.439335,43.113916],[-96.630311,42.770885],[-96.443408,42.489495]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","volume":"23","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Tack, J. D.","contributorId":222253,"corporation":false,"usgs":false,"family":"Tack","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":781683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noon, B.R.","contributorId":24311,"corporation":false,"usgs":true,"family":"Noon","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":781684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":763301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fedy, B.C.","contributorId":35427,"corporation":false,"usgs":true,"family":"Fedy","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":781685,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209712,"text":"70209712 - 2020 - Assessment experimental semivariogram uncertainty in the presence of a polynomial drift","interactions":[],"lastModifiedDate":"2020-04-27T12:23:13.834768","indexId":"70209712","displayToPublicDate":"2019-05-14T09:54:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Assessment experimental semivariogram uncertainty in the presence of a polynomial drift","docAbstract":"The semivariogram, which measures the spatial variability between experimental data, is generally used as a structural input in all two-point geostatistical procedures. However, in most geoscience applications, experimental semivariograms are usually computed from a limited number of sparsely spaced measurements, which results in uncertainty associated with the semivariance values estimated for a specified number of lags. More importantly, considering a spatial variable modelled by a nonstationary random field, uncertainty is not only in the experimental semivariogram of the residuals, but also in the coefficients of the drift model estimated from the available experimental data. Therefore, when assessing the reliability of an experimental semivariogram (or estimated semivariances) in the nonstationary case, both aforementioned uncertainties should be taken into account. The aim of this paper is to extend the “Generalised Bootstrap” procedure to the nonstationary model by propagating the uncertainty associated with the estimated drift coefficients into the uncertainty in the experimental semivariogram of the residuals. The proposed methodology is demonstrated in a case study using abundant geophysical measurements characterised by a nonstationary random function. Two scenarios are evaluated in the case study: (1) it is assumed that the drift coefficients can be estimated without any uncertainty, and (2) uncertainty of the drift coefficients is taken into account. We have explained the methodology that allows to assess the uncertainty of the semivariogram lag estimates in the presence of the drift in the mean. Considering the second scenario, uncertainty is obviously larger than the case where uncertainty of the drift in the mean is ignored. This evaluation should be considered in applications where the data is often rather limited, such as subsurface hydrology (i.e. porosity, transmissivity), soil science (i.e. heavy metal content, soil moisture) and mining (i.e. scoping or pre-feasibility stage of the project). In fact, modern geostatistics should provide not only the semivariogram estimates but also estimation of its uncertainty.","language":"English","publisher":"Springer","doi":"10.1007/s11053-019-09496-3","collaboration":"","usgsCitation":"Oktay, E., Pardo-Iguzquiza, E., and Olea, R.A., 2020, Assessment experimental semivariogram uncertainty in the presence of a polynomial drift: Natural Resources Research, v. 29, no. 2, p. 1087-1099, https://doi.org/10.1007/s11053-019-09496-3.","productDescription":"13 p.","startPage":"1087","endPage":"1099","ipdsId":"IP-087621","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":374190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Oktay, Erten","contributorId":224283,"corporation":false,"usgs":false,"family":"Oktay","given":"Erten","email":"","affiliations":[{"id":40846,"text":"Curtin U. Australia","active":true,"usgs":false}],"preferred":false,"id":787635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardo-Iguzquiza, Eulogio","contributorId":208073,"corporation":false,"usgs":false,"family":"Pardo-Iguzquiza","given":"Eulogio","email":"","affiliations":[{"id":40847,"text":"Instituto Geologico y Minero de Espana","active":true,"usgs":false}],"preferred":false,"id":787636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":208109,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227891,"text":"70227891 - 2020 - Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring","interactions":[],"lastModifiedDate":"2022-02-01T16:36:33.563216","indexId":"70227891","displayToPublicDate":"2019-05-06T10:26:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5084,"text":"Bioacoustics: The International Journal of Animal Sound and its Recording","active":true,"publicationSubtype":{"id":10}},"title":"Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring","docAbstract":"Audio sampling of the environment can provide long-term, landscape-scale presence-absence data to model populations of sound-producing wildlife. Automated detection systems allow researchers to avoid manually searching through large volumes of recordings, but often produce unacceptable false positive rates. We developed methods that allow researchers to improve template-based automated detection using a suite of statistical learning algorithms when false positive rates are problematic. To test our method, we acquired 668 hours of recordings in the Sonoran Desert, California USA between March 2016 and May 2017, and created spectrogram cross-correlation templates for three target avian species. We trained and tested five classification algorithms and four performance-weighted ensemble classifier methods on target signals and false alarms from March 2016, and then selected high-performing ensemble classifiers from the train/test phase to predict the class of new detections thereafter. For three target species, our ensemble classifiers were able to identify 98%, 81%, and 100% of false alarms compared with the baseline template detection system, and comparative positive predictive values improved from 6% to 69%, 87% to 95%, and 2% to 77%. We show that statistical learning approaches can be implemented to mitigate false detections acquired via template-based automated detection in automated acoustic wildlife monitoring.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09524622.2019.1605309","usgsCitation":"Balantic, C.M., and Donovan, T.M., 2020, Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring: Bioacoustics: The International Journal of Animal Sound and its Recording, v. 29, no. 3, p. 296-321, https://doi.org/10.1080/09524622.2019.1605309.","productDescription":"27 p.","startPage":"296","endPage":"321","ipdsId":"IP-093445","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/09524622.2019.1605309","text":"Publisher Index Page"},{"id":395210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.88928222656249,\n 32.62087018318113\n ],\n [\n -114.62585449218749,\n 32.699488680852674\n ],\n [\n -114.46105957031249,\n 32.8334428466495\n ],\n [\n -114.46105957031249,\n 32.93953889877841\n ],\n [\n -114.49951171875,\n 33.054716488042736\n ],\n [\n -114.6478271484375,\n 33.054716488042736\n ],\n [\n -114.6807861328125,\n 33.09614359735857\n ],\n [\n -114.65881347656249,\n 33.25706340236547\n ],\n [\n -114.69177246093749,\n 33.30298618122413\n ],\n [\n -114.6697998046875,\n 33.394759218577995\n ],\n [\n -114.510498046875,\n 33.55512901742288\n ],\n [\n -114.49951171875,\n 33.696922692957685\n ],\n [\n -114.510498046875,\n 33.93424531117312\n ],\n [\n -114.4390869140625,\n 34.00258128543371\n ],\n [\n -114.4061279296875,\n 34.093610452768715\n ],\n [\n -114.23583984374999,\n 34.18454183141725\n ],\n [\n -114.1314697265625,\n 34.30714385628804\n ],\n [\n -114.3511962890625,\n 34.474863669009004\n ],\n [\n -114.46105957031249,\n 34.710009159224946\n ],\n [\n -114.6478271484375,\n 34.92647493584645\n ],\n [\n -114.6368408203125,\n 35.02099970111467\n ],\n [\n -115.84533691406249,\n 35.17380831799959\n ],\n [\n -115.84533691406249,\n 34.56085936708384\n ],\n [\n -115.9771728515625,\n 34.08451193447477\n ],\n [\n -115.960693359375,\n 33.52307880890422\n ],\n [\n -115.8233642578125,\n 33.39934533042092\n ],\n [\n -115.6640625,\n 33.32593850874471\n ],\n [\n -115.59265136718749,\n 33.25706340236547\n ],\n [\n -115.67504882812501,\n 33.073130945006625\n ],\n [\n -116.1199951171875,\n 33.169743600216165\n ],\n [\n -116.103515625,\n 32.79651010951669\n ],\n [\n -115.88928222656249,\n 32.62087018318113\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Balantic, Cathleen M.","contributorId":273038,"corporation":false,"usgs":false,"family":"Balantic","given":"Cathleen","email":"","middleInitial":"M.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":832481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832480,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204069,"text":"70204069 - 2020 - Sedimentary evidence of prehistoric distant-source tsunamis in the Hawaiian Islands","interactions":[],"lastModifiedDate":"2020-05-04T17:28:04.368546","indexId":"70204069","displayToPublicDate":"2019-04-29T12:20:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentary evidence of prehistoric distant-source tsunamis in the Hawaiian Islands","docAbstract":"Over the past 200 years of written records, the Hawaiian Islands have experienced tens of tsunamis generated by earthquakes in the subduction zones of the Pacific \"Ring of Fire\" (e.g., Alaska-Aleutian, Kuril-Kamchatka, Chile, and Japan). Mapping and dating anomalous beds of sand and silt deposited by tsunamis in low-lying areas along Pacific coasts, even those distant from subduction zones, is critical for assessing tsunami hazard throughout the Pacific basin. We searched for evidence of tsunami inundation using stratigraphic and sedimentologic analyses of potential tsunami deposits beneath present and former Hawaiian wetlands, coastal lagoons, and river floodplains. Coastal wetland sites on the islands of Hawai΄i, Maui, O΄ahu, and Kaua΄i were selected based on historical tsunami runup, numerical inundation modeling, proximity to sandy source sediments, degree of historical wetland disturbance, and breadth of prior geologic and archaeologic investigations. We interpret sand beds containing marine calcareous sediment within peaty and/or muddy wetland deposits on the north and northeastern shores of Kaua΄i, O΄ahu, and Hawai΄i as tsunami deposits. At some sites, deposits of the 1946 and 1957 Aleutian tsunamis are analogs for deeper, older probable tsunami deposits. Radiocarbon-based age models date sand beds from three sites to ~700-500 cal yr B.P., which overlaps ages for tsunami deposits in the eastern Aleutian Islands that record a local subduction zone earthquake (Witter et al., 2016; Witter et al., 2018). The overlapping modeled ages for tsunami deposits at our sites support a plausible correlation with an eastern Aleutian earthquake source for a large prehistoric tsunami in the Hawaiian Islands.","language":"English","publisher":"Wiley","doi":"10.1111/sed.12623","usgsCitation":"La Selle, S., Richmond, B.M., Jaffe, B.E., Nelson, A., Griswold, F., Arcos, M.E., Chague, C., Bishop, J., Bellanova, P., Kane, H.H., Lunghino, B., and Gelfenbaum, G.R., 2020, Sedimentary evidence of prehistoric distant-source tsunamis in the Hawaiian Islands: Sedimentology, v. 67, no. 3, p. 1249-1273, https://doi.org/10.1111/sed.12623.","productDescription":"25 p.","startPage":"1249","endPage":"1273","ipdsId":"IP-100398","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science 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Germany,","active":true,"usgs":false}],"preferred":false,"id":765384,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kane, Haunani H.","contributorId":172565,"corporation":false,"usgs":false,"family":"Kane","given":"Haunani","email":"","middleInitial":"H.","affiliations":[{"id":27062,"text":"Unkown","active":true,"usgs":false}],"preferred":false,"id":765383,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lunghino, Brent D.","contributorId":181566,"corporation":false,"usgs":false,"family":"Lunghino","given":"Brent D.","affiliations":[],"preferred":false,"id":765385,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":765386,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70215188,"text":"70215188 - 2020 - Pre-late Wisconsin valley-glacier erratics between Leavenworth and Peshastin, Wenatchee valley, Washington","interactions":[],"lastModifiedDate":"2020-10-09T14:42:02.703137","indexId":"70215188","displayToPublicDate":"2019-03-28T09:36:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Pre-late Wisconsin valley-glacier erratics between Leavenworth and Peshastin, Wenatchee valley, Washington","docAbstract":"

The late Wisconsin Icicle Creek alpine glacier transported tonalite boulders from the Mount Stuart batholith to arcuate end moraines in Icicle valley and Wenatchee valley near Leavenworth. Some previous workers considered sparsely weathered Mount Stuart boulders lying outside these moraines and draped by silt as having been ice rafted in a late Wisconsin lake. But the boulders are more likely within drift or end moraines of pre-late Wisconsin glaciations correlative to lateral moraines on Boundary Butte. The silt—a younger deposit that covers the boulders—derives not from a physically ponded lake but apparently from brief Missoula flood(s) backflooding up the valley.

","language":"English","publisher":"BioOne","doi":"10.3955/046.092.0502","usgsCitation":"Stanton, K.M., Waitt, R.B., and Long, W., 2020, Pre-late Wisconsin valley-glacier erratics between Leavenworth and Peshastin, Wenatchee valley, Washington: Northwest Science, v. 92, no. 5, p. 311-317, https://doi.org/10.3955/046.092.0502.","productDescription":"7 p.","startPage":"311","endPage":"317","ipdsId":"IP-093010","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.88256835937499,\n 47.05141149430736\n ],\n [\n -119.53674316406249,\n 47.05141149430736\n ],\n [\n -119.53674316406249,\n 47.79470655664555\n ],\n [\n -120.88256835937499,\n 47.79470655664555\n ],\n [\n -120.88256835937499,\n 47.05141149430736\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Kelsay M.","contributorId":242919,"corporation":false,"usgs":false,"family":"Stanton","given":"Kelsay","email":"","middleInitial":"M.","affiliations":[{"id":48581,"text":"Wenatchee Valley College","active":true,"usgs":false}],"preferred":false,"id":801103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, William","contributorId":242920,"corporation":false,"usgs":false,"family":"Long","given":"William","affiliations":[{"id":48582,"text":"(deceased)","active":true,"usgs":false}],"preferred":false,"id":801105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216030,"text":"70216030 - 2020 - How lipid content and temperature affect American shad (Alosa sapidissima) attempt rate and sprint swimming: Implications for overcoming migration barriers","interactions":[],"lastModifiedDate":"2020-11-04T12:48:02.838651","indexId":"70216030","displayToPublicDate":"2019-03-26T08:20:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"How lipid content and temperature affect American shad (Alosa sapidissima) attempt rate and sprint swimming: Implications for overcoming migration barriers","docAbstract":"

How seasonal effects such as temperature increases and reduced lipid content affect the ability of anadromous fishes to traverse high-velocity barriers and sprint swimming is poorly understood. We evaluated American shad (Alosa sapidissima) swimming performance in a flume against high flow velocities (2.5–3.7 m·s−1) during the upstream migration period (April–May; temperatures 11.1–21.4 °C) to determine how their willingness to enter a velocity barrier (attempt rate) and their swimming endurance changed during migration. American shad did not make attempts at low temperatures, and attempt rate gradually increased throughout the migration as temperatures warmed. American shad displayed two distinct, nonsustained swimming modes (prolonged and sprint swimming), and endurance was different between sexes. At warmer temperatures, females swam at prolonged speeds more often and longer females displayed a lower endurance. Males primarily swam at sprint speeds and were affected by swimming speed, fork length, and lipid content. Our results indicate that American shad motivation and swimming endurance change over the course of the migration as conditions change, potentially limiting their ability to pass barriers.

","language":"English","doi":"10.1139/cjfas-2018-0406","usgsCitation":"Bayse, S.M., McCormick, S.D., and Castro-Santos, T.R., 2020, How lipid content and temperature affect American shad (Alosa sapidissima) attempt rate and sprint swimming: Implications for overcoming migration barriers: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 12, p. 2235-2244, https://doi.org/10.1139/cjfas-2018-0406.","productDescription":"10 p.","startPage":"2235","endPage":"2244","ipdsId":"IP-099307","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":458779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2018-0406","text":"Publisher Index Page"},{"id":380077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bayse, Shannon Michael 0000-0002-0343-4053","orcid":"https://orcid.org/0000-0002-0343-4053","contributorId":228910,"corporation":false,"usgs":true,"family":"Bayse","given":"Shannon","email":"","middleInitial":"Michael","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":803822,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208105,"text":"70208105 - 2020 - Surficial geochemistry and bioaccessibility of tellurium in semi-arid mine tailings","interactions":[],"lastModifiedDate":"2020-01-27T19:37:02","indexId":"70208105","displayToPublicDate":"2019-03-20T19:36:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Surficial geochemistry and bioaccessibility of tellurium in semi-arid mine tailings","docAbstract":"Tellurium (Te) is a critical element due to its use in solar technology. However, some forms are highly toxic. Few studies have examined Te behavior in the surficial environment, thus little is known about its potential human and environmental health impacts. This study characterizes two physicochemically distinct Te-enriched mine tailings piles (big and flat tailings) deposited by historic gold (Au) mining in the semi-arid Delamar mining district, Nevada. The big tailings are characterized by smaller particle size and higher concentrations of potentially toxic elements (up to 290 mg Te kg-1), which are enriched at the tailings surface. In contrast, the flat tailings have larger particle size and properties that are relatively invariant with depth. Based on the sulfate to sulfide ratio, the tailings were determined to be sulfate dominated suggesting a high degree of weathering, although the flat tailings did contain significant amounts of sulfides (~40%). Tellurium x-ray absorption spectroscopy of the big tailings indicates that tellurate, the less toxic Te species, is the principal form of Te. Electron microscopy indicates that most of the Te present at the site is associated with iron (oxy)hydroxides, sometimes with other potentially toxic elements, especially lead and antimony. Physiologically-based extraction tests indicate that substantially more Te is solubilized in synthetic stomach fluids than in lung fluids, with gastric bioaccessibility ranging from 13-31% of total Te. This points to low to medium bioaccessibility, which is common for iron (oxy)hydroxide associated elements. Together, these results represent a preliminary assessment of Te surficial behavior in a semi-arid environment and indicate that Te in these tailings represent a moderate health concern.","language":"English","publisher":"CSIRO","doi":"10.1071/EN18215","usgsCitation":"Hayes, S.M., and Ramos, N.A., 2020, Surficial geochemistry and bioaccessibility of tellurium in semi-arid mine tailings: Environmental Chemistry, v. 16, no. 4, p. 251-265, https://doi.org/10.1071/EN18215.","productDescription":"15 p.","startPage":"251","endPage":"265","ipdsId":"IP-102454","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":458781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/en18215","text":"Publisher Index Page"},{"id":371620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Sarah M. 0000-0001-5887-6492","orcid":"https://orcid.org/0000-0001-5887-6492","contributorId":208569,"corporation":false,"usgs":true,"family":"Hayes","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramos, Nicole A","contributorId":221839,"corporation":false,"usgs":false,"family":"Ramos","given":"Nicole","email":"","middleInitial":"A","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":780478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270778,"text":"70270778 - 2020 - Using environmental DNA (eDNA) to assess the presence of cavefish and cave crayfish populations in caves of the Ozark Highlands","interactions":[],"lastModifiedDate":"2025-08-27T14:58:10.15187","indexId":"70270778","displayToPublicDate":"2019-03-03T09:54:08","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-135-2020","title":"Using environmental DNA (eDNA) to assess the presence of cavefish and cave crayfish populations in caves of the Ozark Highlands","docAbstract":"

Many cavefishes and cave crayfishes are considered of conservation concern; however, sampling these species is inherently difficult given their occupied environments. The goal of our project was to verify the presence of select karst organisms while developing the foundation for sampling approaches that might be useful to conservation and management agencies. Our project objectives were to develop assays to amplify deoxyribonucleic acid (DNA) from several species of Ozark cavefishes and cave crayfishes and complete an initial surveillance of locations across the Ozark Highlands using environmental DNA (eDNA). Using DNA either provided by agency cooperators or that we extracted from tissue samples, we PCR amplified and then sequenced the Cytochrome Oxidase 1 (CO1) gene for cave crayfishes and the NADH Dehydrogenase Subunit 2 (ND2) gene for cavefishes. We developed species-specific primers and probes for five cave crayfishes and two cavefishes. From February 2017 to May 2017, we sampled 1–5 sampling units from 42 caves, wells, and springs (i.e., sites) using eDNA and traditional visual surveys. We measured physicochemical parameters at each sampling unit to estimate detection probability associated with both techniques. We also calculated two occupancy covariates for each site using geospatial data. We successfully amplified Troglichthys rosae DNA from the environment and detected DNA representing this species at 24 of 40 sites. At 16 of the sites where we detected T. rosae DNA, we did not visually observe the species. Although our assay for Typlichthys eigenmanni successfully amplified the target DNA from the environment, it also resulted in false absences where the species was visually confirmed. Using eDNA to detect cave crayfishes was much more difficult. The assay for Cambarus subterraneus did not work for eDNA samples and we were unable to pick up DNA from the environment, even at locations where it was visually confirmed. Alternatively, the eDNA surveys worked well for C. tartarus and we were able to amplify DNA at every site where it was visually observed. Our assay for C. aculabrum was based on a single sample obtained from GenBank, and did not amplify eDNA from field samples. Lastly, our eDNA results from samples in the known range of Orconectes stygocaneyi suggested the species may be found at an additional cave. Detection using eDNA based on our O. stygocaneyi assay was likely low because it was designed from a pseudogene; however, positive eDNA samples were sequenced to confirm species-specific DNA. Detection probability of both cavefishes and cave crayfishes varied by survey technique and was influenced by water volume, water clarity, water velocity, and substrate. Detection of cavefishes and cave crayfishes via visual surveys decreased when water volume increased, whereas detection using eDNA increased with greater water volume. Detection between taxa using either sample method was highest in habitats classified by fine substrates, except for eDNA detection of crayfishes which was greatest in coarse substrates. Detection of cavefishes increased with water clarity, but detection of cave crayfishes increased with turbidity. Detection probability of both cavefishes and crayfishes using eDNA increased slightly with water velocity, but decreased with visual surveys as water velocity increased. Occupancy by both taxa was positively related to particular geologic series. Crayfish occupancy was negatively related to fine-scale anthropogenic disturbance (i.e., 500-m buffer around the site), whereas crayfish showed no relationship with disturbance. Our results suggest possible range extensions, provide insights to factors driving detection using both sample techniques, and suggest areas where recharge zones may be shared among caves. Future efforts focused on a comprehensive evaluation of genetic diversity among cave crayfishes to improve assay design could improve detection and the applicability of eDNA as a supplemental and non-invasive sampling approach. 

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Brewer, S., Mouser, J., and Van Den Bussche, R., 2020, Using environmental DNA (eDNA) to assess the presence of cavefish and cave crayfish populations in caves of the Ozark Highlands: Cooperator Science Series CSS-135-2020, ii, 62 p.","productDescription":"ii, 62 p.","ipdsId":"IP-106157","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494683,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/using-environmental-dna-edna-assess-presence-cavefish-and-cave-crayfish-populations-caves"},{"id":494946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mouser, Joshua B.","contributorId":341406,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Den Bussche, Ronald A.","contributorId":305751,"corporation":false,"usgs":false,"family":"Van Den Bussche","given":"Ronald A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947052,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202435,"text":"70202435 - 2020 - Weak effects of geolocators on small birds: a meta‐analysis controlled for phylogeny and publication bias","interactions":[],"lastModifiedDate":"2020-01-20T12:43:35","indexId":"70202435","displayToPublicDate":"2019-03-01T11:19:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Weak effects of geolocators on small birds: a meta‐analysis controlled for phylogeny and publication bias","docAbstract":"

Currently, the deployment of tracking devices is one of the most frequently used approaches to study movement ecology of birds. Recent miniaturisation of light‐level geolocators enabled studying small bird species whose migratory patterns were widely unknown. However, geolocators may reduce vital rates in tagged birds and may bias obtained movement data.

There is a need for a thorough assessment of the potential tag effects on small birds, as previous meta‐analyses did not evaluate unpublished data and impact of multiple life‐history traits, focused mainly on large species and the number of published studies tagging small birds has increased substantially.

We quantitatively reviewed 549 records extracted from 74 published and 48 unpublished studies on over 7,800 tagged and 17,800 control individuals to examine the effects of geolocator tagging on small bird species (body mass <100 g). We calculated the effect of tagging on apparent survival, condition, phenology and breeding performance and identified the most important predictors of the magnitude of effect sizes.

Even though the effects were not statistically significant in phylogenetically controlled models, we found a weak negative impact of geolocators on apparent survival. The negative effect on apparent survival was stronger with increasing relative load of the device and with geolocators attached using elastic harnesses. Moreover, tagging effects were stronger in smaller species.

In conclusion, we found a weak effect on apparent survival of tagged birds and managed to pinpoint key aspects and drivers of tagging effects. We provide recommendations for establishing matched control group for proper effect size assessment in future studies and outline various aspects of tagging that need further investigation. Finally, our results encourage further use of geolocators on small bird species but the ethical aspects and scientific benefits should always be considered.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12962","usgsCitation":"Brlik, V., Kolecek, J., Burgess, M., Hahn, S., Humple, D., Krist, M., Ouwehand, J., Weiser, E.L., Adamik, P., Alves, J.A., Arlt, D., Barisic, S., Becker, D., Belda, E.J., Beran, V., Both, C., Bravo, S.P., Briedis, M., Bohumir, C., Cikovic, D., Cooper, N.W., Costa, J.S., Cueto, V.R., Emmenegger, T., Fraser, K., Gilg, O., Guerrero, M., Hallworth, M.T., Hewson, C., Jiguet, F., Johnson, J., Kelly, T., Kishkinev, D., Leconte, M., Lislevand, T., Lisovski, S., Lopez, C., McFarland, K.P., Marra, P.P., Matsuoka, S.M., Piotr, M., Meier, C.M., Metzger, B., Monros, J.S., Neumann, R., Newman, A., Norris, R., Part, T., Pavel, V., Perlut, N., Piha, M., Reneerkens, J., Rimmer, C.C., Roberto-Charro, A., Scandolara, C., Sokolova, N., Takenaka, M., Tolkmitt, D., van Oosten, H., Wellbrock, A.H., Wheeler, H., van der Winden, J., Witte, K., Woodworth, B., and Prochazka, P., 2020, Weak effects of geolocators on small birds: a meta‐analysis controlled for phylogeny and publication bias: Journal of Animal Ecology, v. 89, no. 1, p. 207-220, https://doi.org/10.1111/1365-2656.12962.","productDescription":"14 p.","startPage":"207","endPage":"220","ipdsId":"IP-101562","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":458784,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2656.12962","text":"External Repository"},{"id":361638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Brlik, Vojtech","contributorId":213771,"corporation":false,"usgs":false,"family":"Brlik","given":"Vojtech","email":"","affiliations":[{"id":38851,"text":"Ustav Biologie Obratlovcu Akademie ved Ceske Republiky","active":true,"usgs":false}],"preferred":false,"id":758440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolecek, Jaroslav","contributorId":213772,"corporation":false,"usgs":false,"family":"Kolecek","given":"Jaroslav","email":"","affiliations":[{"id":38852,"text":"Institute of Vertebrate Biology, Academy of Sciences of the Czech Republic","active":true,"usgs":false}],"preferred":false,"id":758441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Malcolm","contributorId":213773,"corporation":false,"usgs":false,"family":"Burgess","given":"Malcolm","email":"","affiliations":[{"id":38853,"text":"Royal Society for the Protection of Birds","active":true,"usgs":false}],"preferred":false,"id":758442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hahn, Steffen","contributorId":213774,"corporation":false,"usgs":false,"family":"Hahn","given":"Steffen","email":"","affiliations":[{"id":38854,"text":"Swiss Ornithological Institute, Bird Migration","active":true,"usgs":false}],"preferred":false,"id":758443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Humple, Diana","contributorId":213796,"corporation":false,"usgs":false,"family":"Humple","given":"Diana","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":758468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krist, Milos","contributorId":213775,"corporation":false,"usgs":false,"family":"Krist","given":"Milos","email":"","affiliations":[{"id":38855,"text":"Palacky University, Zoology","active":true,"usgs":false}],"preferred":false,"id":758444,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ouwehand, Janne","contributorId":213776,"corporation":false,"usgs":false,"family":"Ouwehand","given":"Janne","email":"","affiliations":[{"id":38856,"text":"Groningen Institute for Evolutionary Life Sciences, University of Groningen, Conservation Ecology Group","active":true,"usgs":false}],"preferred":false,"id":758445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":758439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Adamik, Peter","contributorId":213777,"corporation":false,"usgs":false,"family":"Adamik","given":"Peter","email":"","affiliations":[{"id":38857,"text":"alalacky University, Zoology; 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Far‐field tsunami deposits observed in the Kahana Valley, O'ahu, Hawai'i (USA), were investigated for their organic‐geochemical content. During short high‐energy events, (tsunamis and storms) organic and chemical components are transported with sediment from marine to terrestrial areas. This study investigates the use of anthropogenic based organic geochemical compounds (such as polycyclic aromatic hydrocarbons, pesticides and organochlorides) as a means to identify tsunami deposits. Samples were processed by solid‐liquid extraction and analyzed using gas chromatography–mass spectrometry. A total of 21 anthropogenic marker compounds were identified, of which 11 compounds were selected for detailed analysis. Although the tsunami deposits pre‐date industrial activity in Hawaii by several hundred years, distinct changes were found in the concentrations of anthropogenic marker compounds between sandy tsunami deposits and the surrounding mud/peat layers, which may help in identifying tsunami deposits within cores. As expected, low overall concentrations of anthropogenic markers and pollutants were observed due to the lack of industrial input‐sources and little anthropogenic environmental impact at the study site. This geochemical characterization of tsunami deposits shows that anthropogenic markers have significant potential as another high‐resolution, multi‐proxy method for identifying tsunamis in the sedimentary record.

","language":"English","publisher":"Wiley","doi":"10.1111/sed.12583","usgsCitation":"Bellanova, P., Frenken, M., Richmond, B.M., Schwarzbauer, J., La Selle, S., Griswold, F., Jaffe, B.E., Nelson, A.R., and Reicherter, K., 2020, Organic geochemical investigation of far‐field tsunami deposits of the Kahana Valley, O'ahu, Hawai'i: Sedimentology, v. 67, no. 3, p. 1230-1248, https://doi.org/10.1111/sed.12583.","productDescription":"19 p.","startPage":"1230","endPage":"1248","ipdsId":"IP-096120","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kahana Valley, O'ahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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