The response of macrophage aggregates in fish to a variety of environmental stressors has been useful as a biomarker of exposure to habitat degradation. Total volume of macrophage aggregates (MAV) was estimated in the liver and spleen of white perch Morone americana from Chesapeake Bay using stereological approaches. Hepatic and splenic MAV were compared between fish populations from the rural Choptank River (n = 122) and the highly urbanized Severn River (n = 131). Hepatic and splenic MAV increased with fish age, were greater in females from the Severn River only, and were significantly greater in fish from the more polluted Severn River (higher concentrations of polycyclic aromatic hydrocarbons, organochlorine pesticides, and brominated diphenyl ethers). Water temperature and dissolved oxygen had a significant effect on organ volumes, but not on MAV. Age and river were most influential on hepatic and splenic MAV, suggesting that increased MAV in Severn River fish resulted from chronic exposures to higher concentrations of environmental contaminants and other stressors. Hemosiderin was abundant in 97% of spleens and was inversely related to fish condition and positively related to fish age and trematode infections. Minor amounts of hemosiderin were detected in 30% of livers and positively related to concentrations of benzo[a] pyrene metabolite equivalents in the bile. This study demonstrated that hepatic and splenic MAV were useful indicators in fish from the 2 tributaries with different land use characteristics and concentrations of environmental contaminants. More data are needed from additional tributaries with a wider gradient of environmental impacts to validate our results in this species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03555","usgsCitation":"Matsche, M.A., Blazer, V., Pulster, E., and Mazik, P.M., 2021, Biological and anthropogenic influences on macrophage aggregates in white perch Morone americana from Chesapeake Bay, USA: Diseases of Aquatic Organisms, v. 143, p. 79-100, https://doi.org/10.3354/dao03555.","productDescription":"22 p.","startPage":"79","endPage":"100","ipdsId":"IP-122515","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":388726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.83837890625,\n 36.78289206199065\n ],\n [\n -75.65185546874999,\n 36.78289206199065\n ],\n [\n -75.65185546874999,\n 39.67337039176558\n ],\n [\n -76.83837890625,\n 39.67337039176558\n ],\n [\n -76.83837890625,\n 36.78289206199065\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Matsche, Mark A","contributorId":194275,"corporation":false,"usgs":false,"family":"Matsche","given":"Mark","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":822263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulster, Erin","contributorId":236999,"corporation":false,"usgs":false,"family":"Pulster","given":"Erin","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":822265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220194,"text":"70220194 - 2021 - Syntrophotalea acetylenivorans sp. nov., a diazotrophic, acetylenotrophic anaerobe isolated from intertidal sediments","interactions":[],"lastModifiedDate":"2024-05-16T15:24:03.106631","indexId":"70220194","displayToPublicDate":"2021-02-11T07:21:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2076,"text":"International Journal of Systematic and Evolutionary Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Syntrophotalea acetylenivorans sp. nov., a diazotrophic, acetylenotrophic anaerobe isolated from intertidal sediments","docAbstract":"A Gram-stain-negative, strictly anaerobic, non-motile, rod-shaped bacterium, designated SFB93T, was isolated from the intertidal sediments of South San Francisco Bay, located near Palo Alto, CA, USA. SFB93T was capable of acetylenotrophic and diazotrophic growth, grew at 22–37 °C, pH 6.3–8.5 and in the presence of 10–45 g l−1 NaCl. Phylogenetic analyses based on 16S rRNA gene sequencing showed that SFB93T represented a member of the genus Syntrophotalea with highest 16S rRNA gene sequence similarities to Syntrophotalea acetylenica DSM 3246T (96.6 %), Syntrophotalea carbinolica DSM 2380T (96.5 %), and Syntrophotalea venetiana DSM 2394T (96.7 %). Genome sequencing revealed a genome size of 3.22 Mbp and a DNA G+C content of 53.4 %. SFB93T had low genome-wide average nucleotide identity (81–87.5 %) and <70 % digital DNA–DNA hybridization value with other members of the genus Syntrophotalea . The phylogenetic position of SFB93T within the family Syntrophotaleaceae and as a novel member of the genus Syntrophotalea was confirmed via phylogenetic reconstruction based on concatenated alignments of 92 bacterial core genes. On the basis of the results of phenotypic, genotypic and phylogenetic analyses, a novel species, Syntrophotalea acetylenivorans sp. nov., is proposed, with SFB93T (=DSM 106009T=JCM 33327T=ATCC TSD-118T) as the type strain.
","language":"English","publisher":"Microbiology Society","doi":"10.1099/ijsem.0.004698","usgsCitation":"Baesman, S., Sutton, J.M., Fierst, J.L., Akob, D., and Oremland, R., 2021, Syntrophotalea acetylenivorans sp. nov., a diazotrophic, acetylenotrophic anaerobe isolated from intertidal sediments: International Journal of Systematic and Evolutionary Microbiology, v. 73, no. 3, 004698, 12 p., https://doi.org/10.1099/ijsem.0.004698.","productDescription":"004698, 12 p.","ipdsId":"IP-090935","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":453496,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8375424","text":"External Repository"},{"id":385301,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":814696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":814697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":814698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":814699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oremland, Ronald S. 0000-0001-7382-0147","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":257598,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":814700,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218715,"text":"70218715 - 2021 - The role of habitat heterogeneity and canyon processes in structuring sediment macrofaunal communities associated with hard substrate habitats in Norfolk Canyon, USA","interactions":[],"lastModifiedDate":"2023-07-07T14:06:34.153645","indexId":"70218715","displayToPublicDate":"2021-02-11T07:14:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7748,"text":"Deep Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"The role of habitat heterogeneity and canyon processes in structuring sediment macrofaunal communities associated with hard substrate habitats in Norfolk Canyon, USA","docAbstract":"Topographic and hydrodynamic complexity in submarine canyons promotes steep gradients in food availability and geophysical parameters which affect ecological assemblages and beta diversity. While habitat heterogeneity in submarine canyons is known to support diverse and abundant megafaunal communities, due to difficulty in sampling little is known about infaunal communities adjacent to hard substrate habitats, their contribution to canyon assemblages, and overall deep-sea diversity. Sediments were collected in three distinct habitat types: within Norfolk Canyon (western Atlantic) adjacent to hard substrate habitats including canyon walls and large boulders, along the main axis of the canyon, and on the adjacent continental slope to quantify macrofaunal (>300 μm) density, diversity and community composition, and sediment geochemical parameters including grain size, organic content, and stable isotope composition. While macrofaunal densities were similar among habitats sampled at comparable depths, diversity was higher near the hard substrate environments. Discrete communities were present in each habitat type, while annelid functional composition was similar between hard substrate adjacent and canyon axis habitats. Although diversity and abundance of hard substrate adjacent sediment communities did not change with depth, communities were driven by sediments with low organic matter content, whereas canyon and slope community assemblages were best explained by depth and higher organic content. Beta diversity among hard substrate adjacent sediments and canyon axis communities was high, with 27% of canyon taxa and 10% of regional taxa only occurring in hard substrate habitats. Given the thousands of submarine canyons worldwide, our results highlight the overall importance of substrate habitat heterogeneity within canyons in supporting deep-sea benthic diversity and suggest that both within-canyon and regional diversity are underestimated.
The stock of organic carbon contained within a soil represents the balance between inputs and losses. Inputs are defined by the ability of vegetation to capture and retain carbon dioxide, effects that management practices have on the proportion of captured carbon that is added to soil and the application organic amendments. The proportion of organic amendment carbon retained is defined by its rate of mineralisation. In this study, the rate of carbon mineralisation from 85 different potential soil organic amendments (composts, manures, plant residues and biosolids) was quantified under controlled environmental conditions over a 547 day incubation period. The composition of each organic amendment was quantified using nuclear magnetic resonance and mid- and near-infrared spectroscopies. Cumulative mineralisation of organic carbon from the amendments was fitted to a two-pool exponential model. Multivariate chemometric algorithms were derived to allow the size of the fast and slow cycling pools of carbon to be predicted from the acquired spectroscopic data. However, the fast and slow decomposition rate constants could not be predicted suggesting that prediction of the residence time of organic amendment carbon in soil would likely require additional information related to soil type, environmental conditions, and management practices in use at the site of application.
Machine-learning models developed by the U.S. Geological Survey were used to predict iron concentrations and the probability of dissolved oxygen (DO) concentrations exceeding a threshold of 1 milligram per liter (mg/L) in groundwater in aquifers of the Mississippi embayment physiographic region. DO and iron concentrations are driven by and reflect the oxidation-reduction (redox) conditions in groundwater. Predictions from boosted regression trees, a type of machine-learning model, of iron concentration and DO threshold probability were used to categorize redox zones in the Mississippi River Valley alluvial aquifer (MRVA), middle Claiborne aquifer (MCAQ), and lower Claiborne aquifer (LCAQ). Model predictions indicated that DO concentrations greater than 1 mg/L are uncommon across the MRVA. DO events (where the predicted probability was greater than 0.5) tended to occur on the margins of the MRVA and in upland areas where MCAQ and LCAQ units crop out at the surface or are at shallow depth. Predicted iron concentrations were higher in the MRVA than in the MCAQ and LCAQ. Uncertainty in predicted iron concentrations tended to be high in areas where measured concentrations were also high, resulting in small areas (encompassing less than 1.5 percent of the areal extent of the MRVA) of predicted iron concentrations that exceeded 100,000 micrograms per liter. Despite the large magnitude of overpredicted iron concentrations, the general proportion and spatial distribution of predicted iron concentrations reflected observed concentrations in groundwater wells. Where the probability of exceeding a DO concentration of 1 mg/L was 0.8 or more and the iron concentration was less than 1,000 micrograms per liter, aquifers were categorized as oxic. Oxic conditions were mostly in the uplands where MCAQ and LCAQ units crop out at the margins of the modeled area. The MRVA was mostly anoxic, which was controlled by DO threshold probabilities less than 0.1. The predictions and redox zones support conceptual models of redox conditions in the Mississippi embayment. The MRVA is predominantly anoxic with high iron concentrations. In the Claiborne aquifers (including the MCAQ and LCAQ), groundwater flows along regional flow paths toward the axis of the Mississippi embayment (the approximate location of the Mississippi River), the residence time in the aquifer increases, DO is consumed, and iron concentrations generally increase. Elevated concentrations of trace elements, such as manganese and arsenic, are often associated with reducing conditions in anoxic and mixed anoxic zones, but other factors such as sediment mineralogy affect the occurrence and distribution of these constituents.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3468","collaboration":"National Water Quality Program","usgsCitation":"Knierim, K.J., Kingsbury, J.A., and Haugh, C.J., 2021, Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States: U.S. Geological Survey Scientific Investigations Map 3468, 16 p., 3 sheets, https://doi.org/10.3133/sim3468.","productDescription":"Pamphlet: v, 16 p.; 3 Sheets: 34.3 inches x 24.7 inches or smaller; Data Release","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-117970","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":383180,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N108JM","text":"USGS data release","linkHelpText":"Machine-learning model predictions and rasters of dissolved oxygen probability, iron concentration, and redox conditions in groundwater in the Mississippi River Valley alluvial and Claiborne aquifers"},{"id":383179,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3468/sim3468_sheet03.pdf","text":"Sheet 3","size":"3.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3468 Sheet 3"},{"id":383178,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3468/sim3468_sheet02.pdf","text":"Sheet 2","size":"6.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3468 Sheet 2"},{"id":383177,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3468/sim3468_sheet01.pdf","text":"Sheet 1","size":"7.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3468 Sheet 1"},{"id":383176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3468/sim3468_pamphlet.pdf","text":"Pamphlet","size":"1.55MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3468 Pamphlet"},{"id":383175,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3468/coverthb2.jpg"}],"country":"United States","state":"Alabama, Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Claiborne Aquifer, Mississippi Rier Valley Alluvial Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.04296874999999,\n 33.568861182555565\n ],\n [\n -94.04296874999999,\n 32.40779154205701\n ],\n [\n -93.33984375,\n 31.71882222408327\n ],\n [\n -91.95556640625,\n 31.147006308556566\n ],\n [\n -91.351318359375,\n 31.11879439598953\n ],\n [\n -90.274658203125,\n 31.522361470421437\n ],\n [\n -87.978515625,\n 31.5504526754715\n ],\n [\n -87.593994140625,\n 31.728167146023935\n ],\n [\n -87.78076171875,\n 32.45415593941475\n ],\n [\n -89.12109375,\n 32.93492866908233\n ],\n [\n -88.934326171875,\n 35.567980458012094\n ],\n [\n -88.8134765625,\n 37.23032838760387\n ],\n [\n -89.329833984375,\n 37.03763967977139\n ],\n [\n -90.362548828125,\n 36.48314061639213\n ],\n [\n -91.86767578124999,\n 35.25459097465022\n ],\n [\n -94.04296874999999,\n 33.568861182555565\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
The Soldier Meadows spring complex provides habitat for the desert dace, an endemic and threatened fish. The spring complex has been altered with the construction of irrigation ditches that remove water from natural stream channels. Irrigation ditches generally provide lower quality habitat for the desert dace. Land and wildlife management agencies are interested in increasing habitat extent and quality by filling in irrigation ditches and restoring streamflow to natural channels. The U.S. Geological Survey measured streamflow, surveyed topography, and combined light detection and ranging data to create a two-dimensional hydraulic model of the study area to understand how restoration would change streamflow extents and hydraulic characteristics. Streamflow measurements indicate that, except for a section of one irrigation ditch at the upstream end of the study area, the total volume of streamflow diverted into the irrigation ditches in the study area was minimal. Hydraulic modeling indicates filling in the irrigation ditch at the upper end of the study area would return streamflow to the natural channel, resulting in an increase in natural channel surface water extent, and a reduction of irrigation ditch surface water flow. The result would be a more heterogenous natural stream channel, ranging from shallow and slow to narrow and fast.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205143","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Morris, C.M., 2021, Evaluation of streamflow extent and hydraulic characteristics of a restored channel at Soldier Meadows, Black Rock Desert–High Rock Canyon Emigrant Trails National Conservation Area, Nevada: U.S. Geological Survey Scientific Investigations Report 2020–5143, 22 p., https://doi.org/10.3133/sir20205143.","productDescription":"Report: v, 22 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-110000","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":383124,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O0GII7","linkHelpText":"Geospatial data and surface-water model archive for evaluation of streamflow extent and hydraulic characteristics of a restored channel at Soldier Meadows, Black Rock Desert–High Rock Canyon Emigrant Trails National Conservation Area, Nevada"},{"id":383123,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2020/5143/images"},{"id":383122,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2020/5143/sir20205143.xml"},{"id":383121,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5143/sir20205143.pdf","text":"Report","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":383120,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5143/covrthb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Black Rock Desert, High Rock Canyon Emigrant Trails National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.40765380859375,\n 40.734770989672406\n ],\n [\n -118.35845947265625,\n 40.734770989672406\n ],\n [\n -118.35845947265625,\n 41.45919537950706\n ],\n [\n -119.40765380859375,\n 41.45919537950706\n ],\n [\n -119.40765380859375,\n 40.734770989672406\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 95819
Green Peter and Foster Dams have altered natural seasonal temperature patterns in the South and Middle Santiam Rivers of the Willamette River Basin in northwestern Oregon. Cold-water releases from Green Peter Dam, upstream of Foster Lake, contribute to the cool-water conditions at Foster Dam. In summer, unseasonably cold water typically is discharged from Foster Dam into the Foster Dam fish ladder, which may be one factor contributing to the low numbers of upstream migrating Chinook salmon (Oncorhynchus tshawytscha) that enter the fish ladder. The U.S. Army Corps of Engineers is leading efforts to improve conditions for Chinook salmon upstream and downstream of these dams by considering structural alterations to Foster Dam and by exploring changes to the way the dams are operated.
The U.S. Geological Survey assisted the U.S. Army Corps of Engineers by using previously calibrated numerical models of flow and water quality for Green Peter and Foster Lakes and for the South Santiam River downstream of Foster Dam. These two-dimensional hydrodynamic and water-quality (CE-QUAL-W2) models were used to test scenarios of altered dam operations and alternate water-management strategies. Results of these scenarios provide information and insights into how the mixing and thermal characteristics of the lakes are affected by dam operations, how the mixing and timing of upstream source waters reaching Foster Dam are affected by dam operations, how river and fish-ladder temperature targets might be achieved, and how quickly (or slowly) such changes in the lakes and downstream river reaches occur, relative to typical unmodified operations at Green Peter and Foster Dams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205145","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Sullivan, A.B., and Rounds, S.A., 2021, Modeling water temperature response to dam operations and water management in Green Peter and Foster Lakes and the South Santiam River, Oregon: U.S. Geological Survey Scientific Investigations Report 2020–5145, 27 p., https://doi.org/10.3133/sir20205145.","productDescription":"Report: vi, 27 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-117626","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":383125,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5145/coverthb.jpg"},{"id":383126,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5145/sir20205145.pdf","text":"Report","size":"12.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5145"},{"id":383127,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C1YRV3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"CE–QUAL–W2 water-quality model for Green Peter and Foster Lakes and the South Santiam River, Oregon: 2002-2011"}],"country":"United States","state":"Oregon","otherGeospatial":"Foster Lake, Green Peter Lake, South Santiam River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.08807373046875,\n 44.29436701558004\n ],\n [\n -122.09518432617186,\n 44.29436701558004\n ],\n [\n -122.09518432617186,\n 44.775986224030376\n ],\n [\n -123.08807373046875,\n 44.775986224030376\n ],\n [\n -123.08807373046875,\n 44.29436701558004\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
The U.S. Fish and Wildlife Service and the Puerto Rico Department of Natural and Environmental Resources want to develop a plan of actions to protect 12 species of coqui frogs (Eleutherodactylus spp.) that are currently considered at risk of being considered threatened or endangered, requiring additional protections under the Endangered Species Act. Actions center on two possible adaptation strategies: a) translocations to suitable, unoccupied habitat, and b) identifying climate-resilient habitats to ensure the persistence of species. Knowledge required to implement these strategies includes understanding how microhabitat and microclimatic factors – the local environmental conditions around individual frogs influence their occupancy (distribution), abundance, and reproduction; these were estimated by focusing on four representative species (E. wightmanae, E. brittoni, E. antillensis, and E. coqui). The abundance of all species but E. antillensis was positively and strongly influenced by moisture levels. As expected, E. antillensis exhibited an opposite relationship. Similarly, the reproductive activity of E. coqui was influenced by higher relative humidity and the presence of a chorus of other individuals. We found that our four focal species were not affected (e.g., abundance, reproduction) by the passing of hurricane Maria in September 2017, possibly because fallen debris creates conditions of increased food and shelter. Our findings help to assess habitat suitability, potential climate refuges, and inform timing for managed translocations.
","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"Collazo, J.A., Terando, A., Pacifici, K., and Bowden, J., 2021, Climate change implications for the conservation of amphibians in tropical environments.: Final Report, 7 p.","productDescription":"7 p.","ipdsId":"IP-126847","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494684,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c6557e4b0546c0c397b4c/55fb1ff2e4b05d6c4e501c2a"},{"id":494948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":220505,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":947464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pacifici, Krishna","contributorId":351444,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":947465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowden, Jared","contributorId":197528,"corporation":false,"usgs":false,"family":"Bowden","given":"Jared","affiliations":[],"preferred":false,"id":947466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218219,"text":"70218219 - 2021 - Dynamics of the seasonal migration of Round Goby (Neogobius melanostomus, Pallas 1814) and implications for the Lake Ontario food web","interactions":[],"lastModifiedDate":"2021-04-13T14:15:36.685871","indexId":"70218219","displayToPublicDate":"2021-02-10T09:07:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dynamics of the seasonal migration of Round Goby (Neogobius melanostomus, Pallas 1814) and implications for the Lake Ontario food web","title":"Dynamics of the seasonal migration of Round Goby (Neogobius melanostomus, Pallas 1814) and implications for the Lake Ontario food web","docAbstract":"Seasonal migrations of fish populations can have large effects on lake nutrient budgets and food web dynamics, but the addition of a migrating non‐native species may alter these dynamics. The Round Goby (Neogobius melanostomus) arrived in Lake Ontario (USA/Canada) about 20 years ago with a documented history of annual offshore–inshore migrations in its native range. Here we combined nearshore, fixed‐plot video with offshore trawl data to document the annual migration of this population over multiple years. This behaviour was correlated with seasonal, nearshore temperature changes. The population size structure and mean fish length of returning fish were smaller than those of out‐migrating fish. The out‐migrating population contained an estimated 37.7 metric tonnes of phosphorous; and we estimated roughly 20 metric tonnes were translocated to and remained in offshore waters over the winter months, representing an important nutrient subsidy to a variety of offshore piscivorous fish. Lake Sturgeon (Acipenser fulvescens) have incorporated Round Goby extensively into their diet and consume a size range of fish matching the size range of missing Round Goby that fail to return to the nearshore. We conclude Round Goby are an important prey within the food web of Lake Ontario and translocate roughly 6.5% of the monthly total phosphorous load entering from surface waters. Further investigations of the nutrient content, population size structure and fate of migrating Round Goby in Lake Ontario are warranted to clarify the extent of this prey and nutrient subsidy in ongoing assessments of lake condition.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12568","usgsCitation":"Pennuto, C., Mehler, K., Weidel, B., Lantry, B.F., and Bruestle, E., 2021, Dynamics of the seasonal migration of Round Goby (Neogobius melanostomus, Pallas 1814) and implications for the Lake Ontario food web: Ecology of Freshwater Fish, v. 30, no. 2, p. 151-161, https://doi.org/10.1111/eff.12568.","productDescription":"11 p.","startPage":"151","endPage":"161","ipdsId":"IP-118165","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":385063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.925537109375,\n 43.265206318396025\n ],\n [\n 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bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bruestle, Eric","contributorId":251746,"corporation":false,"usgs":false,"family":"Bruestle","given":"Eric","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":810467,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218253,"text":"70218253 - 2021 - Sequestration of microfibers and other microplastics by green algae, Cladophora, in the US Great Lakes","interactions":[],"lastModifiedDate":"2021-02-22T14:17:36.844083","indexId":"70218253","displayToPublicDate":"2021-02-10T08:13:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Sequestration of microfibers and other microplastics by green algae, Cladophora, in the US Great Lakes","docAbstract":"Daunting amounts of microplastics are present in surface waters worldwide. A main category of microplastics is synthetic microfibers, which originate from textiles. These microplastics are generated and released in laundering and are discharged by wastewater treatment plants or enter surface waters from other sources. The polymers that constitute many common synthetic microfibers are mostly denser than water, and eventually settle out in aquatic environments. The interaction of these microfibers with submerged aquatic vegetation has not been thoroughly investigated but is potentially an important aquatic sink in surface waters. In the Laurentian Great Lakes, prolific growth of macrophytic Cladophora creates submerged biomass with a large amount of surface area and the potential to collect and concentrate microplastics. To determine the number of synthetic microfibers in Great Lakes Cladophora, samples were collected from Lakes Erie and Michigan at multiple depths in the spring and summer of 2018. After rinsing and processing the algae, associated synthetic microfibers were quantified. The average loads of synthetic microfibers determined from the Lake Erie and Lake Michigan samples were 32,000 per kg (dry weight (dw)) and 34,000 per kg (dw), respectively, 2–4 orders of magnitude greater than loads previously reported in water and sediment. To further explore this sequestration of microplastics, fresh and aged Cladophora were mixed with aqueous mixtures of microfibers or microplastic in the laboratory to simulate pollution events. Microscopic analyses indicated that fresh Cladophora algae readily interacted with microplastics via adsorptive forces and physical entanglement. These interactions mostly cease upon algal senescence, with an expected release of microplastics in benthic sediments. Collectively, these findings suggest that synthetic microfibers are widespread in Cladophora algae and the affinity between microplastics and Cladophora may offer insights for removing microplastic pollution.
Macroalgae in the Laurentian Great Lakes contain high loads of synthetic microfibers, both entangled and adsorbed, which likely account for an important fraction of microplastics in these surface waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2021.116695","usgsCitation":"Peller, J.R., Nevers, M., Byappanahalli, M., Nelson, C., Babu, B.G., Evans, M.A., Kostelnik, E., Keller, M., Johnston, J., and Shidler, S., 2021, Sequestration of microfibers and other microplastics by green algae, Cladophora, in the US Great Lakes: Environmental Pollution, v. 276, 116695, 11 p., https://doi.org/10.1016/j.envpol.2021.116695.","productDescription":"116695, 11 p.","ipdsId":"IP-124829","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":383415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Michigan, Leeland Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.02844238281249,\n 44.90646871709883\n ],\n [\n -85.67138671875,\n 44.90646871709883\n ],\n [\n -85.67138671875,\n 45.18978009667531\n ],\n [\n -86.02844238281249,\n 45.18978009667531\n ],\n [\n -86.02844238281249,\n 44.90646871709883\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"276","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peller, Julie R.","contributorId":48889,"corporation":false,"usgs":false,"family":"Peller","given":"Julie","email":"","middleInitial":"R.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":810719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith B. 0000-0001-6963-6734","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":201531,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Cassie","contributorId":251861,"corporation":false,"usgs":false,"family":"Nelson","given":"Cassie","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":810722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Babu, Bharath Ganesh","contributorId":251862,"corporation":false,"usgs":false,"family":"Babu","given":"Bharath","email":"","middleInitial":"Ganesh","affiliations":[{"id":48129,"text":"Valparaiso University","active":true,"usgs":false}],"preferred":false,"id":810723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kostelnik, Eddie","contributorId":251863,"corporation":false,"usgs":false,"family":"Kostelnik","given":"Eddie","email":"","affiliations":[{"id":48129,"text":"Valparaiso University","active":true,"usgs":false}],"preferred":false,"id":810725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keller, Morgan","contributorId":251864,"corporation":false,"usgs":false,"family":"Keller","given":"Morgan","email":"","affiliations":[{"id":48129,"text":"Valparaiso University","active":true,"usgs":false}],"preferred":false,"id":810726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnston, Jenna","contributorId":251865,"corporation":false,"usgs":false,"family":"Johnston","given":"Jenna","email":"","affiliations":[{"id":48129,"text":"Valparaiso University","active":true,"usgs":false}],"preferred":false,"id":810727,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shidler, Sarah","contributorId":251866,"corporation":false,"usgs":false,"family":"Shidler","given":"Sarah","email":"","affiliations":[{"id":50405,"text":"Renishaw, Inc.","active":true,"usgs":false}],"preferred":false,"id":810728,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70219480,"text":"70219480 - 2021 - Climate-mediated changes to linked terrestrial and marine ecosystems across the northeast Pacific coastal temperate rainforest margin","interactions":[],"lastModifiedDate":"2021-04-09T12:24:37.077405","indexId":"70219480","displayToPublicDate":"2021-02-10T07:20:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Climate-mediated changes to linked terrestrial and marine ecosystems across the northeast Pacific coastal temperate rainforest margin","docAbstract":"Coastal margins are important areas of materials flux that link terrestrial and marine ecosystems. Consequently, climate-mediated changes to coastal terrestrial ecosystems and hydrologic regimes have high potential to influence nearshore ocean chemistry and food web dynamics. Research from tightly coupled, high-flux coastal ecosystems can advance understanding of terrestrial–marine links and climate sensitivities more generally. In the present article, we use the northeast Pacific coastal temperate rainforest as a model system to evaluate such links. We focus on key above- and belowground production and hydrological transport processes that control the land-to-ocean flow of materials and their influence on nearshore marine ecosystems. We evaluate how these connections may be altered by global climate change and we identify knowledge gaps in our understanding of the source, transport, and fate of terrestrial materials along this coastal margin. Finally, we propose five priority research themes in this region that are relevant for understanding coastal ecosystem links more broadly.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaa171","usgsCitation":"Bidlack, A.L., Bisbing, S., Buma, B., Diefenderfer, H., Fellman, J., Floyd, W., Giesbrecht, I., Lally, A., Lertzman, K., Perakis, S.S., Butman, D., D'Amore, D., Fleming, S.W., Hood, E.W., Hunt, B.K., Kiffney, P., McNicol, G., Menounos, B., and Tank, S.E., 2021, Climate-mediated changes to linked terrestrial and marine ecosystems across the northeast Pacific coastal temperate rainforest margin: BioScience, biaa171, 15 p., https://doi.org/10.1093/biosci/biaa171.","productDescription":"biaa171, 15 p.","ipdsId":"IP-107280","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":453506,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaa171","text":"Publisher Index 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In vulnerable geologic settings, the potential exists for these contaminants to reach underlying aquifers and contaminate drinking water wells. Viruses and other pathogens, as well as other contaminants of emerging concern, were measured in stormwater and groundwater at an urban site containing a stormwater cistern and related subsurface infiltration gallery, three shallow lysimeter wells, and a monitoring well. Five of 12 microbial targets were detected more than once across the eight rounds of sampling and at multiple sampling points, with human-specific Bacteroides detected most frequently. The microbial and chemical contaminants present in urban stormwater were much lower in the water table monitoring well than the vadose zone lysimeters. There may be numerous causes for these reductions, but they are most likely related to transit across fine-grained sediments that separate the water table from the vadose zone at this location. Precipitation amount prior to sample collection was significantly associated with microbial load. A significant relation between microbial load and chloride-bromide ratio was also observed. The reduction in number and concentrations of contaminants found in the monitoring well indicates that although geologically sensitive aquifers receiving urban stormwater effluent in the subsurface may be prone to contamination, those with a protective cap of fine-grained sediments are less vulnerable. These results can inform stormwater infiltration guidance relative to drinking water wells, with an emphasis on restricting infiltration near water supply wells finished in geologically sensitive aquifers to reduce public health risks.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145738","usgsCitation":"de Lambert, J.R., Walsh, J.F., Scher, D.P., Firnstahl, A.D., and Borchardt, M.A., 2021, Microbial pathogens and contaminants of emerging concern in groundwater at an urban subsurface stormwater infiltration site: Science of the Total Environment, v. 775, 145738, 9 p., https://doi.org/10.1016/j.scitotenv.2021.145738.","productDescription":"145738, 9 p.","ipdsId":"IP-123128","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":383710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Roseville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.19908142089844,\n 44.99151235226668\n ],\n [\n -93.11771392822266,\n 44.99151235226668\n ],\n [\n -93.11771392822266,\n 45.03714091439948\n ],\n [\n -93.19908142089844,\n 45.03714091439948\n ],\n [\n -93.19908142089844,\n 44.99151235226668\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"775","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"de Lambert, Jane R.","contributorId":214334,"corporation":false,"usgs":false,"family":"de Lambert","given":"Jane","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":811198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, James F.","contributorId":214333,"corporation":false,"usgs":false,"family":"Walsh","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":811199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scher, Deanna P.","contributorId":252948,"corporation":false,"usgs":false,"family":"Scher","given":"Deanna","email":"","middleInitial":"P.","affiliations":[{"id":36357,"text":"Minnesota Department of Health","active":true,"usgs":false}],"preferred":false,"id":811200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":210973,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":811202,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218701,"text":"70218701 - 2021 - Computational methodology to analyze the effect of mass transfer rate on attenuation of leaked carbon dioxide in shallow aquifers","interactions":[],"lastModifiedDate":"2021-04-16T13:59:46.362577","indexId":"70218701","displayToPublicDate":"2021-02-10T07:11:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7747,"text":"Acta Polytechnica","active":true,"publicationSubtype":{"id":10}},"title":"Computational methodology to analyze the effect of mass transfer rate on attenuation of leaked carbon dioxide in shallow aquifers","docAbstract":"Exsolution and re-dissolution of CO2 gas within heterogeneous porous media are investigated using experimental data and mathematical modeling. In a set of bench-scale experiments, water saturated with CO2 under a given pressure is injected into a 2-D water-saturated porous media system, causing CO2 gas to exsolve and migrate upwards. A layer of fine sand mimicking a heterogeneity within a shallow aquifer is present in the tank to study accumulation and trapping of exsolved CO2. Then, clean water is injected into the system and the accumulated CO2 dissolves back into the flowing water. Simulated exsolution and dissolution mass transfer processes are studied using both nearequilibrium and kinetic approaches and compared to experimental data under conditions that do and do not include lateral background water flow. The mathematical model is based on the mixed hybrid finite element method that allows for accurate simulation of both advection- and diffusion- dominated processes.
","language":"English","publisher":"Czech Technical University","doi":"10.14311/AP.2021.61.0077","usgsCitation":"Fucik, R., Solovsky, J., Plampin, M.R., Wu, H., Mikyska, J., and Illangasekare, T.H., 2021, Computational methodology to analyze the effect of mass transfer rate on attenuation of leaked carbon dioxide in shallow aquifers: Acta Polytechnica, v. 61, no. SI, 12 p., https://doi.org/10.14311/AP.2021.61.0077.","productDescription":"12 p.","ipdsId":"IP-114423","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":453509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14311/ap.2021.61.0077","text":"Publisher Index Page"},{"id":384057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"SI","noUsgsAuthors":false,"publicationDate":"2021-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Fucik, Radek 0000-0001-7040-9184","orcid":"https://orcid.org/0000-0001-7040-9184","contributorId":254378,"corporation":false,"usgs":false,"family":"Fucik","given":"Radek","email":"","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":811427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solovsky, Jakub","contributorId":254380,"corporation":false,"usgs":false,"family":"Solovsky","given":"Jakub","email":"","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":811428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":811429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Hao","contributorId":254382,"corporation":false,"usgs":false,"family":"Wu","given":"Hao","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":811430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikyska, Jiri","contributorId":254383,"corporation":false,"usgs":false,"family":"Mikyska","given":"Jiri","email":"","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":811431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Illangasekare, Tissa H.","contributorId":194933,"corporation":false,"usgs":false,"family":"Illangasekare","given":"Tissa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":811432,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229131,"text":"70229131 - 2021 - Big runs of little fish: First estimates of run size and exploitation in an amphidromous postlarvae fishery","interactions":[],"lastModifiedDate":"2022-03-02T12:26:38.239629","indexId":"70229131","displayToPublicDate":"2021-02-09T19:31:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6455,"text":"Canadian Journal Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Big runs of little fish: First estimates of run size and exploitation in an amphidromous postlarvae fishery","docAbstract":"Amphidromous postlarvae fisheries (APFs) constitute a globally widespread and distinctive class of fishery that is largely unknown to fisheries science. APFs harvest ocean-to-river migrating fishes at smaller sizes and younger ages than any other class of fishery. No quantitative estimates of run size and exploitation exist, which are needed to evaluate APF sustainability. Migrating amphidromous fishes are vectors of marine nutrients to estuaries and rivers, and run size quantification is needed to reveal the magnitude of this ecosystem function. We present a novel adaptation of trapezoidal area under the curve methods, which we apply in a Caribbean case study to yield the first simultaneous estimates of an APF run size and harvest. Run size estimates ranged 7.3–9.4 million postlarvae (926–1184 kg), and exploitation estimates (5.8%–7.0%) indicated low harvest in the Río Grande de Arecibo, Puerto Rico. Our representative run size estimates reveal that amphidromous postlarvae transport hundreds of kilograms of biomass per month to an estuary and river, the first empirical evidence that amphidromous migrations are large-magnitude material subsidies of lotic ecosystems.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0093","usgsCitation":"Engman, A., Kwak, T.J., and Fischer, J., 2021, Big runs of little fish: First estimates of run size and exploitation in an amphidromous postlarvae fishery: Canadian Journal Fisheries and Aquatic Sciences, v. 78, no. 7, p. 905-912, https://doi.org/10.1139/cjfas-2020-0093.","productDescription":"8 p.","startPage":"905","endPage":"912","ipdsId":"IP-123931","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500799,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/105888","text":"External Repository"},{"id":396623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, Río Grande de Arecibo River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.6650390625,\n 18.25021997706561\n ],\n [\n -66.1376953125,\n 18.25021997706561\n ],\n [\n -66.1376953125,\n 18.531700307384043\n ],\n [\n -66.6650390625,\n 18.531700307384043\n ],\n [\n -66.6650390625,\n 18.25021997706561\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Engman, A.C.","contributorId":243987,"corporation":false,"usgs":false,"family":"Engman","given":"A.C.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":836608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, J.R.","contributorId":243988,"corporation":false,"usgs":false,"family":"Fischer","given":"J.R.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":836610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217868,"text":"tm16B1 - 2021 - Multi-taxa database data dictionary","interactions":[],"lastModifiedDate":"2021-02-10T12:59:29.690403","indexId":"tm16B1","displayToPublicDate":"2021-02-09T15:16:40","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"16-B1","displayTitle":"Multi-Taxa Database Data Dictionary","title":"Multi-taxa database data dictionary","docAbstract":"The conservation of biological resources relies on the successful management of ecological and physiological research data. The Western Ecological Research Center of the U.S. Geological Survey is working with researchers, land managers, and decision makers from non-government organizations and city, county, state, and federal resource agencies to develop data management methods. Access to the most current and applicable research data available in making sound decisions to conserve species diversity is foundational. We sought to accomplish several goals in developing the data management strategy used in the Multi-Taxa database. Data persistence and availability are primary goals of well-developed databases. By documenting and sharing the structure and definitions of Multi-Taxa database, we hope to further the successful management of these crucial data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm16B1","collaboration":"Prepared in cooperation with San Diego Association of Governments (SanDAG)","usgsCitation":"Watson, E., Rochester, C.J., Brown, C.W., Holmes, D.A., Hathaway, S.A., and Fisher, R.N., 2021, Multi-taxa database data dictionary: U.S. Geological Survey Techniques and Methods 16–B1, 149 p., https://doi.org/10.3133/tm16B1.","productDescription":"Report: xvi, 149 p., 5 Appendixes; 3 Datasets","numberOfPages":"149","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-119276","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":383110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/16/b1/covrthb.jpg"},{"id":383111,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":383112,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_appx1.pdf","text":"Appendix 1","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Entity Relationship Diagram of All Database Tables"},{"id":383113,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_appx2.pdf","text":"Appendix 2","size":"200 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Entity Relationship Diagram of Tables Associated with Survey Events"},{"id":383114,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_appx3.pdf","text":"Appendix 3","size":"240 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Entity Relationship Diagram of Tables Associated with Sites"},{"id":383115,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_appx4.pdf","text":"Appendix 4","size":"250 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Entity Relationship Diagram of Tables Associated with Taxa Observations"},{"id":383116,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_appx5.pdf","text":"Appendix 5","size":"240 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Entity Relationship Diagram of Tables Associated with Habitat Observations"},{"id":383117,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_field_def.csv","text":"Field Definitions","size":"175 KB","linkFileType":{"id":7,"text":"csv"}},{"id":383118,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_lookup_table_def.csv","text":"Lookup Table Definitions","size":"25 KB","linkFileType":{"id":7,"text":"csv"}},{"id":383119,"rank":10,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/tm/16/b1/tm16b1_table_def.csv","text":"Table Definitions","size":"10 KB","linkFileType":{"id":7,"text":"csv"}}],"contact":"Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
If not managed properly, modern agricultural practices can alter surface and groundwater quality and drinking water resources resulting in potential negative effects on aquatic and terrestrial ecosystems. Exposure to agriculturally derived contaminant mixtures has the potential to alter habitat quality and negatively affect fish and other aquatic organisms. Implementation of conservation practices focused on improving water quality continues to increase particularly in agricultural landscapes throughout the United States. The goal of this study was to determine the consequences of land management actions on the primary drivers of contaminant mixtures in five agricultural watersheds in the Chesapeake Bay, the largest watershed of the Atlantic Seaboard in North America where fish health issues have been documented for two decades. Surface water was collected and analyzed for 301 organic contaminants to determine the benefits of implemented best management practices (BMPs) designed to reduce nutrients and sediment to streams in also reducing contaminants in surface waters. Of the contaminants measured, herbicides (atrazine, metolachlor), phytoestrogens (formononetin, genistein, equol), cholesterol and total estrogenicity (indicator of estrogenic response) were detected frequently enough to statistically compare to seasonal flow effects, landscape variables and BMP intensity. Contaminant concentrations were often positively correlated with seasonal stream flow, although the magnitude of this effect varied by contaminant across seasons and sites. Land-use and other less utilized landscape variables including biosolids, manure and pesticide application and percent phytoestrogen producing crops were inversely related with site-average contaminant concentrations. Increased BMP intensity was negatively related to contaminant concentrations indicating potential co-benefits of BMPs for contaminant reduction in the studied watersheds. The information gained from this study will help prioritize ecologically relevant contaminant mixtures for monitoring and contributes to understanding the benefits of BMPs on improving surface water quality to better manage living resources in agricultural landscapes inside and outside the Chesapeake Bay watershed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145687","usgsCitation":"Smalling, K., Devereux, O., Gordon, S.E., Phillips, P.J., Blazer, V., Hladik, M.L., Kolpin, D., Meyer, M., Sperry, A., and Wagner, T., 2021, Environmental and anthropogenic drivers of contaminants in agricultural watersheds with implications for land management: Science of the Total Environment, v. 774, 145687, 14 p., https://doi.org/10.1016/j.scitotenv.2021.145687.","productDescription":"145687, 14 p.","ipdsId":"IP-118914","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":453515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.145687","text":"Publisher Index Page"},{"id":383388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.30029296875,\n 38.03078569382294\n ],\n [\n -74.970703125,\n 41.65649719441145\n ],\n [\n -78.277587890625,\n 42.33418438593939\n ],\n [\n -79.51904296874999,\n 38.44498466889473\n ],\n [\n -75.30029296875,\n 38.03078569382294\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"774","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devereux, Olivia 0000-0002-3911-3307","orcid":"https://orcid.org/0000-0002-3911-3307","contributorId":174152,"corporation":false,"usgs":false,"family":"Devereux","given":"Olivia","email":"","affiliations":[{"id":61674,"text":"Devereux Consulting, Inc","active":true,"usgs":false}],"preferred":false,"id":810429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":810430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":810432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":589,"text":"Toxic Substances Hydrology 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California","interactions":[],"lastModifiedDate":"2021-02-10T18:00:22.216537","indexId":"ofr20201102","displayToPublicDate":"2021-02-09T10:33:12","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1102","displayTitle":"Using High Resolution Satellite and Telemetry Data to Track Flooded Habitats, Their Use by Waterfowl, and Evaluate Effects of Drought on Waterfowl and Shorebird Bioenergetics in California","title":"Using high resolution satellite and telemetry data to track flooded habitats, their use by waterfowl, and evaluate effects of drought on waterfowl and shorebird bioenergetics in California","docAbstract":"Wetland managers in the Central Valley of California, a dynamic hydrological landscape, require information regarding the amount and location of existing wetland habitat to make decisions on how to best use water resources to support multiple wildlife objectives, particularly during drought. Scientists from the U.S. Geological Survey Western Ecological Research Center (WERC), Point Blue Conservation Science (Point Blue), and the U.S. Fish and Wildlife Service (USFWS) partnered to learn how wetland and flooded agricultural habitats used by waterfowl and shorebirds change during the non-breeding season (July–April) particularly during drought. During extreme drought conditions, the ability to provide sufficient water for wildlife often depends on the timing of water deliveries to managed wetlands and winter-flooded crop fields and decisions on whether to fallow croplands. Waterfowl and shorebirds could be particularly affected by these decisions because they typically rest and feed in flooded habitats. Poor habitat conditions resulting from spatially or temporally suboptimal water deliveries (that is, mismatch between waterfowl habitat needs and timing and location of flooded habitats) could reduce waterfowl hunting opportunities and body condition. Point Blue scientists developed a system for near real-time tracking of habitats used by waterfowl, shorebirds, and some other wetland-dependent “waterbirds” (www.pointblue.org/watertracker) and to assess the impacts of drought on habitat availability and on waterfowl and shorebird bioenergetics. The WERC researchers linked these data with near real-time tracking (telemetry) data of duck locations throughout the Valley. The team used these two datasets to relate duck locations to open-water characteristics and to learn how waterfowl use habitats under spatially and temporally changing conditions during drought and non-drought periods. We found that recent extreme drought (2013–15) significantly changed the timing and magnitude of flooding and consequently reduced the availability of habitats used by waterfowl and shorebirds more than other recent historic droughts 2000–11. Drought reduced irrigations of moist soil seed plants and thus there was lower food energy available for waterfowl. Analyses using bioenergetics models indicated that, overall, extreme drought increased food energy deficits (total number of deficit days) for shorebirds and waterfowl. Our analysis indicated a strong direct relationship between duck locations and classified habitat derived from open-water data during the wintering period (October–March). This result helps confirm the application of dynamic water data to identify flooded areas that provide waterfowl habitat. Presence of open water at a 1-hectare resolution can be used effectively to identify flooded landscape areas available as habitat for ducks. Our discoveries from evaluating use of space by ducks also indicated that nighttime feeding locations of ducks were concentrated nearby primary roosts and that foraging distances could depend on hydrologic dynamics of location (Suisun Marsh versus California excluding Suisun Marsh) and time of season (early, middle, late). Other results indicated that some areas on the California landscape with extremely reliable water supplies could receive consistent use by ducks year after year (in essence, almost drought proof). The Water Tracker is set up to automatically track wetland habitat and food availability each year and is making these data available to water and wetland managers. Results from this research are a significant step toward understanding how waterfowl and shorebird habitats can be optimally managed on the landscape to support desired populations of these migratory birds during extreme drought.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201102","collaboration":"Prepared in cooperation with the Southwest Climate Adaptation Science Center of the U.S. Geological Survey and the Regional Inventory and Monitoring Program of the U.S. Fish and Wildlife Service","usgsCitation":"Matchett, E.L., Reiter, M., Overton, C.T., Jongsomjit, D., and Casazza, M.L., 2021, Using high resolution satellite and telemetry data to track flooded habitats, their use by waterfowl, and evaluate effects of drought on waterfowl and shorebird bioenergetics in California: U.S. Geological Survey Open-File Report 2020–1102, 59 p., https://doi.org/10.3133/ofr20201102.","productDescription":"Report: xi, 59 p.; Data Release","numberOfPages":"59","onlineOnly":"Y","ipdsId":"IP-102884","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":383074,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2020/1102/images"},{"id":383073,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P922KDU6","linkHelpText":"Classification of waterfowl habitat and quantification of interannual space use and movement distance from primary roosts to night feeding locations by waterfowl in California for October–March of 2015 through 2018"},{"id":383071,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1102/ofr20201102.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":383070,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1102/covrthb.jpg"},{"id":383072,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2020/1102/ofr20201102.xml"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.234375,\n 36.06686213257888\n ],\n [\n -119.44335937499999,\n 35.137879119634185\n ],\n [\n -118.828125,\n 34.813803317113155\n ],\n [\n -118.30078125,\n 35.137879119634185\n ],\n [\n -118.49853515625,\n 35.71083783530009\n ],\n [\n -119.39941406249999,\n 37.33522435930639\n ],\n [\n -120.47607421874999,\n 38.16911413556086\n ],\n [\n -120.89355468749999,\n 38.58252615935333\n ],\n [\n -121.22314453124999,\n 39.11301365149975\n ],\n [\n -121.640625,\n 39.977120098439634\n ],\n [\n -121.97021484374999,\n 40.74725696280421\n ],\n [\n -122.3876953125,\n 41.0130657870063\n ],\n [\n -122.84912109375,\n 40.613952441166596\n ],\n [\n -122.87109375,\n 40.07807142745009\n ],\n [\n -122.6953125,\n 38.993572058209466\n ],\n [\n -122.08007812499999,\n 37.68382032669382\n ],\n [\n -121.37695312499999,\n 36.96744946416934\n ],\n [\n -120.234375,\n 35.99578538642032\n ],\n [\n -120.234375,\n 36.06686213257888\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Reliable predictions and accompanying uncertainty estimates of coastal evolution on decadal to centennial time scales are increasingly sought. So far, most coastal change projections rely on a single, deterministic realization of the unknown future wave climate, often derived from a global climate model. Yet, deterministic projections do not account for the stochastic nature of future wave conditions across a variety of temporal scales (e.g., daily, weekly, seasonally, and interannually). Here, we present an ensemble Kalman filter shoreline change model to predict coastal erosion and uncertainty due to waves at a variety of time scales. We compare shoreline change projections, simulated with and without ensemble wave forcing conditions by applying ensemble wave time series produced by a computationally efficient statistical downscaling method. We demonstrate a sizable (site-dependent) increase in model uncertainty compared with the unrealistic case of model projections based on a single, deterministic realization (e.g., a single time series) of the wave forcing. We support model-derived uncertainty estimates with a novel mathematical analysis of ensembles of idealized process models. Here, the developed ensemble modeling approach is applied to a well-monitored beach in Tairua, New Zealand. However, the model and uncertainty quantification techniques derived here are generally applicable to a variety of coastal settings around the world.
","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005506","usgsCitation":"Vitousek, S., Cagigal, L., Montano, J., Rueda, A., Mendez, F., Coco, G., and Barnard, P.L., 2021, The application of ensemble wave forcing to quantify uncertainty of shoreline change predictions: JGR Earth Surface, v. 126, no. 7, e2019JF005506, 43 p., https://doi.org/10.1029/2019JF005506.","productDescription":"e2019JF005506, 43 p.","ipdsId":"IP-116481","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453518,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jf005506","text":"External Repository"},{"id":388152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura","contributorId":264473,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":821575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montano, Jennifer","contributorId":264474,"corporation":false,"usgs":false,"family":"Montano","given":"Jennifer","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":821576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rueda, Ana","contributorId":264475,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","affiliations":[{"id":41638,"text":"University of Cantabria","active":true,"usgs":false}],"preferred":false,"id":821577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendez, Fernando","contributorId":264476,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","affiliations":[{"id":41638,"text":"University of Cantabria","active":true,"usgs":false}],"preferred":false,"id":821578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coco, Giovanni","contributorId":264477,"corporation":false,"usgs":false,"family":"Coco","given":"Giovanni","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":821579,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821580,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223896,"text":"70223896 - 2021 - Export of photolabile and photoprimable dissolved organic carbon from the Connecticut River","interactions":[],"lastModifiedDate":"2021-09-14T11:42:29.429084","indexId":"70223896","displayToPublicDate":"2021-02-09T10:02:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Export of photolabile and photoprimable dissolved organic carbon from the Connecticut River","docAbstract":"Dissolved organic carbon (DOC) impacts water quality, the carbon cycle, and the ecology of aquatic systems. Understanding what controls DOC is therefore critical for improving large-scale models and best management practices for aquatic ecosystems. The two main processes of DOC transformation and removal, photochemical and microbial DOC degradation, work in tandem to modify and remineralize DOC within natural waters. Here, we examined both the photo- and microbial remineralization of DOC (photolability and biolability), and the indirect phototransformation of DOC into biolabile DOC (photoprimed biolability) for samples that capture the spatiotemporal and hydrological gradients of the Connecticut River watershed. The majority of DOC exported from this temperate watershed was photolabile and the concentration of photolabile DOC correlated with UV absorbance at 254 nm (r2 = 0.86). Phototransformation of DOC also increased biolability, and the total photolabile DOC (sum of photolabile and photoprimed biolabile DOC) showed a stronger correlation with UV absorbance at 254 nm (r2 = 0.92). We estimate that as much as 49% (SD = 3.3%) and 10% (SD = 1.1%) of annual DOC export from the Connecticut River is directly photolabile and photoprimable, respectively. Thus, 2.82 Gg C year−1 (SD = 0.67 Gg C year−1) or 1.13 Mg C km−2 year−1 (SD = 0.27 km−2 year−1) of total photolabile DOC escapes photochemical degradation within the river network to be exported from the Connecticut River each year.
","language":"English","publisher":"Springer","doi":"10.1007/s00027-021-00778-8","usgsCitation":"Yoon, B., Hosen, J.D., Kyzivat, E., Fair, J., Weber, L.C., Aho, K.S., Lowenthal, R., Matt, S., Sobczak, W.V., Shanley, J.B., Morrison, J., Saiers, J.E., Stubbins, A., and Raymond, P.A., 2021, Export of photolabile and photoprimable dissolved organic carbon from the Connecticut River: Aquatic Sciences, v. 83, 23, 17 p., https://doi.org/10.1007/s00027-021-00778-8.","productDescription":"23, 17 p.","ipdsId":"IP-094783","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":389152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Connecticut River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.26806640624999,\n 41.36031866306708\n ],\n [\n -72.13623046875,\n 41.95131994679697\n ],\n [\n -72.18017578125,\n 42.293564192170095\n ],\n [\n -72.24609375,\n 42.8115217450979\n ],\n [\n -72.18017578125,\n 43.197167282501276\n ],\n [\n -71.91650390625,\n 43.89789239125797\n ],\n [\n -71.60888671875,\n 44.134913443750726\n ],\n [\n -71.279296875,\n 44.465151013519616\n ],\n [\n -71.21337890625,\n 44.98034238084973\n ],\n [\n -71.08154296875,\n 45.3521452458518\n ],\n [\n -71.4990234375,\n 45.27488643704891\n ],\n [\n -71.9384765625,\n 45.07352060670971\n ],\n [\n -72.333984375,\n 44.08758502824516\n ],\n [\n -72.70751953125,\n 43.32517767999296\n ],\n [\n -72.88330078125,\n 42.84375132629021\n ],\n [\n -72.99316406249999,\n 42.309815415686664\n ],\n [\n -73.037109375,\n 41.49212083968776\n ],\n [\n -72.70751953125,\n 41.21172151054787\n ],\n [\n -72.35595703125,\n 41.19518982948959\n ],\n [\n -72.26806640624999,\n 41.36031866306708\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2021-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Yoon, B. 0000-0002-8959-3855","orcid":"https://orcid.org/0000-0002-8959-3855","contributorId":245946,"corporation":false,"usgs":false,"family":"Yoon","given":"B.","email":"","affiliations":[{"id":49377,"text":"Department of Marine and Environmental Sciences, Northeastern University, Boston, MA USA","active":true,"usgs":false}],"preferred":false,"id":823178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hosen, Jacob D.","contributorId":149188,"corporation":false,"usgs":false,"family":"Hosen","given":"Jacob","email":"","middleInitial":"D.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":823179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kyzivat, Ethan","contributorId":241078,"corporation":false,"usgs":false,"family":"Kyzivat","given":"Ethan","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":823180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fair, Jennifer H","contributorId":241077,"corporation":false,"usgs":false,"family":"Fair","given":"Jennifer H","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":823181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Lisa C.","contributorId":124586,"corporation":false,"usgs":true,"family":"Weber","given":"Lisa","email":"","middleInitial":"C.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":823182,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aho, Kelly S.","contributorId":241075,"corporation":false,"usgs":false,"family":"Aho","given":"Kelly","email":"","middleInitial":"S.","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":823183,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowenthal, Rachel","contributorId":241079,"corporation":false,"usgs":false,"family":"Lowenthal","given":"Rachel","email":"","affiliations":[{"id":48197,"text":"Yale","active":true,"usgs":false}],"preferred":false,"id":823184,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Matt, Serena","contributorId":194108,"corporation":false,"usgs":false,"family":"Matt","given":"Serena","affiliations":[],"preferred":false,"id":823185,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sobczak, W. V.","contributorId":41983,"corporation":false,"usgs":true,"family":"Sobczak","given":"W.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":823186,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823187,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morrison, Jonathan 0000-0002-1756-4609 jmorriso@usgs.gov","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":2274,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","email":"jmorriso@usgs.gov","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823188,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Saiers, James E.","contributorId":191842,"corporation":false,"usgs":false,"family":"Saiers","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":823189,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":823190,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":823191,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70254486,"text":"70254486 - 2021 - Enhancing the application of Earth observations for improved environmental decision-making using the Early Warning eXplorer (EWX)","interactions":[],"lastModifiedDate":"2024-05-28T14:47:15.444274","indexId":"70254486","displayToPublicDate":"2021-02-09T09:42:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7749,"text":"Frontiers in Climate","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing the application of Earth observations for improved environmental decision-making using the Early Warning eXplorer (EWX)","docAbstract":"The mitigation of losses due to extreme climate events and long-term climate adaptation requires climate informed decision-making. In the past few decades, several remote sensing and modeled-based Earth observations (EOs) have been developed to provide an unprecedented global overview and routine monitoring of climate and its impacts on vegetation and hydrologic conditions, with the goal of supporting informed decision-making. However, their usage in decision-making is particularly limited in climate-risk vulnerable and in situ data-scarce regions such as sub-Saharan Africa, due to lack of access to EOs. Here, we describe the Early Warning eXplorer (EWX), which was developed to address this crucial limitation and facilitate the application of EOs in decision-making, particularly in the food and water-insecure regions of the world. First, the EWX's core framework, which includes (i) the Viewer, (ii) GeoEngine, and (iii) Support Applications, is described. Then, a comprehensive overview of the Viewer, which is a web-based interface used to access EOs, is provided. This includes a description of (i) the maps and associated features to access gridded EO data and anomalies for different temporal averaging periods, (ii) time series graphs and associated features to access EOs aggregated over polygons such as administrative boundaries, and (iii) commonly used EOs served by the EWX that provide assessments of climate and vegetation conditions. Next, examples are provided to demonstrate how EWX can be used to monitor development, progression, spatial extent, and severity of climate-driven extreme events to support timely decisions related to mitigation of food insecurity and flooding impacts. Finally, the value of a regional implementation of EWX at the Regional Centre for Mapping of Resources for Development (RCMRD) in Nairobi, Kenya, is highlighted. Regional implementation of the EWX facilitates access to regionally focused EOs and their availability at polygon boundaries most relevant to the local decision-makers. Similar instances of EWX implemented in other regions, especially those susceptible to food and water security, will likely further enhance the application of EOs for informed decision-making.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fclim.2020.583509","usgsCitation":"Shukla, S., Landsfeld, M., Anthony, M., Budde, M., Husak, G., Rowland, J., and Funk, C., 2021, Enhancing the application of Earth observations for improved environmental decision-making using the Early Warning eXplorer (EWX): Frontiers in Climate, v. 2, 583509, 16 p., https://doi.org/10.3389/fclim.2020.583509.","productDescription":"583509, 16 p.","ipdsId":"IP-120483","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":453527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fclim.2020.583509","text":"Publisher Index Page"},{"id":429328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2021-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":901558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landsfeld, Martin","contributorId":192380,"corporation":false,"usgs":false,"family":"Landsfeld","given":"Martin","affiliations":[],"preferred":false,"id":901559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Michelle 0000-0001-6646-2134","orcid":"https://orcid.org/0000-0001-6646-2134","contributorId":336955,"corporation":false,"usgs":false,"family":"Anthony","given":"Michelle","affiliations":[{"id":80923,"text":"KBR Technical Support Services Contract (TSSC)","active":true,"usgs":false}],"preferred":false,"id":901560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budde, Michael 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":901561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Husak, Greg 0000-0003-2647-7870","orcid":"https://orcid.org/0000-0003-2647-7870","contributorId":331302,"corporation":false,"usgs":false,"family":"Husak","given":"Greg","email":"","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":901562,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":901563,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":901564,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70218815,"text":"70218815 - 2021 - Understanding metrics of stress in the context of invasion history: The case of the brown treesnake (Boiga irregularis)","interactions":[],"lastModifiedDate":"2021-03-15T13:09:52.874157","indexId":"70218815","displayToPublicDate":"2021-02-09T08:07:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Understanding metrics of stress in the context of invasion history: The case of the brown treesnake (Boiga irregularis)","docAbstract":"Invasive species can exert rapid depletion of resources after introduction and, in turn, affect their own population density. Additionally, management actions can have direct and indirect effects on demography. Physiological variables can predict demographic change but are often restricted to snapshots-in-time and delayed confirmation of changes in population density reduces their utility. To evaluate the relationships between physiology and demography, we assessed metrics of individual and demographic stress (baseline and 1-h corticosterone (CORT), body condition and bacterial killing ability) in the invasive snake Boiga irregularis on Guam collected in intervals of 10–15 years. We also assessed potential discrepancies between different methods of measuring hormones [radioimmunoassay (RIA) versus enzyme immunoassay (EIA)]. The magnitude of difference between RIA and EIA was negligible and did not change gross interpretation of our results. We found that body condition was higher in recent samples (2003 and 2018) versus older (1992–93) samples. We found corresponding differences in baseline CORT, with higher baseline CORT in older, poorer body condition samples. Hormonal response to acute stress was higher in 2018 relative to 2003. We also found a weak relationship between circulating CORT and bacterial killing ability among 2018 samples, but the biological significance of the relationship is not clear. In an effort to develop hypotheses for future investigation of the links between physiology and demography in this and other systems, we discuss how the changes in CORT and body condition may reflect changes in population dynamics, resource availability or management pressure. Ultimately, we advocate for the synchronization of physiology and management studies to advance the field of applied conservation physiology.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coab008","usgsCitation":"Claunch, N., Moore, I., Waye, H., Schoenle, L., Oakey, S., Reed, R., and Romagosa, C., 2021, Understanding metrics of stress in the context of invasion history: The case of the brown treesnake (Boiga irregularis): Conservation Physiology, v. 9, no. 1, coab008, 17 p., https://doi.org/10.1093/conphys/coab008.","productDescription":"coab008, 17 p.","ipdsId":"IP-123807","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":453528,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coab008","text":"Publisher Index Page"},{"id":436515,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MGABAX","text":"USGS data release","linkHelpText":"Metrics of individual and demographic stress in the invasive Brown treesnake on Guam from 1992-2018"},{"id":384377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Claunch, N","contributorId":255347,"corporation":false,"usgs":false,"family":"Claunch","given":"N","email":"","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":812155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, I.","contributorId":255348,"corporation":false,"usgs":false,"family":"Moore","given":"I.","email":"","affiliations":[{"id":51514,"text":"Virginia Tech U.","active":true,"usgs":false}],"preferred":false,"id":812156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waye, H","contributorId":255349,"corporation":false,"usgs":false,"family":"Waye","given":"H","email":"","affiliations":[{"id":33753,"text":"U. Minnesota","active":true,"usgs":false}],"preferred":false,"id":812157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenle, L","contributorId":255350,"corporation":false,"usgs":false,"family":"Schoenle","given":"L","email":"","affiliations":[{"id":51515,"text":"Cornell U","active":true,"usgs":false}],"preferred":false,"id":812158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oakey, S","contributorId":255351,"corporation":false,"usgs":false,"family":"Oakey","given":"S","email":"","affiliations":[{"id":51516,"text":"U. South Florida","active":true,"usgs":false}],"preferred":false,"id":812159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":812160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romagosa, Christina","contributorId":178167,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","affiliations":[],"preferred":false,"id":812161,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217904,"text":"70217904 - 2021 - Observations of acrobat ants (Crematogaster sp.) preying on the eggs of the invasive giant applesnail (Pomacea maculata)","interactions":[],"lastModifiedDate":"2021-02-11T17:30:39.22035","indexId":"70217904","displayToPublicDate":"2021-02-09T07:59:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Observations of acrobat ants (Crematogaster sp.) preying on the eggs of the invasive giant applesnail (Pomacea maculata)","title":"Observations of acrobat ants (Crematogaster sp.) preying on the eggs of the invasive giant applesnail (Pomacea maculata)","docAbstract":"Herein we provide direct evidence for the consumption of Pomacea maculata (Giant Applesnail) eggs by ants in the genus Crematogaster. The observations were made during removal of snail egg masses at the Hudson Woods Unit of the Texas Mid-Coast National Wildlife Refuge, TX. We observed acrobat ants (Crematogaster sp.) removing snail eggs from an egg mass and carrying eggs back to their nest. While predation on Pomacea applesnail eggs has been reported elsewhere, to our knowledge this is the first time that it has been observed in North America.
","language":"English","publisher":"Eagle Hill Publications","usgsCitation":"Carter, J., Wilson, J., and Mopper, S., 2021, Observations of acrobat ants (Crematogaster sp.) preying on the eggs of the invasive giant applesnail (Pomacea maculata): Southeastern Naturalist, v. 1, no. 20, p. N15-N18.","productDescription":"4 p.","startPage":"N15","endPage":"N18","ipdsId":"IP-112187","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":383198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383187,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/SENAonline/articles/SENA-20-1/52-Carter.shtml"}],"country":"United States","state":"Texas","otherGeospatial":"Texas Mid-Coast National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.96832275390624,\n 28.71226974306188\n ],\n [\n -94.86145019531249,\n 28.71226974306188\n ],\n [\n -94.86145019531249,\n 29.456339680309885\n ],\n [\n -95.96832275390624,\n 29.456339680309885\n ],\n [\n -95.96832275390624,\n 28.71226974306188\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"20","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Jacoby 0000-0003-0110-0284","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":221989,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":810135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jennifer 0000-0001-8308-9538","orcid":"https://orcid.org/0000-0001-8308-9538","contributorId":248919,"corporation":false,"usgs":false,"family":"Wilson","given":"Jennifer","affiliations":[{"id":50054,"text":"US Fish and Wildlife Service.","active":true,"usgs":false}],"preferred":false,"id":810136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mopper, Susan 0000-0003-0332-1822","orcid":"https://orcid.org/0000-0003-0332-1822","contributorId":248920,"corporation":false,"usgs":false,"family":"Mopper","given":"Susan","email":"","affiliations":[{"id":12987,"text":"Department of Biology, University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":810137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70219165,"text":"70219165 - 2021 - Seasonal impoundment alters patterns of tidal wetland plant diversity across spatial scales","interactions":[],"lastModifiedDate":"2021-03-29T13:00:49.94313","indexId":"70219165","displayToPublicDate":"2021-02-09T07:56:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal impoundment alters patterns of tidal wetland plant diversity across spatial scales","docAbstract":"Understanding patterns of biodiversity is a key goal of ecology and is especially pressing in the current human‐caused biodiversity crisis. In wetland ecosystems, human impacts are centered around hydrologic manipulation including the common practice of wetland diking and impoundment. Constraining how wetland management influences plant biodiversity patterns across spatial scales will provide information on how best to modify actions to preserve biodiversity and ecosystem function in managed wetlands. Here, we compare patterns of plant diversity and species presence, abundance, and community composition at several spatial scales among tidal wetlands along an estuarine salinity gradient and managed wetlands that were formerly tidal. Managed impounded wetlands had decreased alpha and gamma diversity of rare species, with less than 60% of the species richness found in tidal brackish wetlands at several spatial scales. There was little change in the overall pattern of alpha, beta, and gamma diversity for common species in impounded wetlands; however, dominant tidal brackish species, primarily perennial rhizomatous graminoids, were replaced with management target plants and non‐native annual grasses in impounded wetlands. This species replacement led to over 60% of impounded sites being classified as containing novel plant assemblages. An additional 25% of impounded sites were classified as containing tidal saline plant assemblages, suggesting potential soil salinization. Along the estuarine gradient, patchiness and codominance of common plant species drove high diversity and turnover in tidal brackish wetlands, while it remains unclear whether tidal fresh or brackish wetlands maximize rare plant diversity. With reduced species richness, altered functional dominants, and novel or saline assemblages, impounded brackish wetlands may require careful water management to balance native plant biodiversity, associated ecosystem processes, and waterfowl requirements.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3366","usgsCitation":"Jones, S., Janousek, C.N., Casazza, M.L., Takekawa, J., and Thorne, K., 2021, Seasonal impoundment alters patterns of tidal wetland plant diversity across spatial scales: Ecosphere, v. 12, no. 2, e03366, 19 p., https://doi.org/10.1002/ecs2.3366.","productDescription":"e03366, 19 p.","ipdsId":"IP-121980","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":453532,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3366","text":"Publisher Index Page"},{"id":436516,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZG1Y72","text":"USGS data release","linkHelpText":"Impounded and tidal wetland plant diversity and composition across spatial scales, San Francisco Bay-Delta, California, USA (2016-2018)"},{"id":384713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.93701171874999,\n 36.89719446989036\n ],\n [\n -121.57470703125,\n 36.89719446989036\n ],\n [\n -121.57470703125,\n 38.976492485539396\n ],\n [\n -122.93701171874999,\n 38.976492485539396\n ],\n [\n -122.93701171874999,\n 36.89719446989036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":813087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":813088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":813089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813090,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217900,"text":"70217900 - 2021 - Microbial and viral indicators of pathogens and human health risks from recreational exposure to waters impaired by fecal contamination","interactions":[],"lastModifiedDate":"2021-02-10T13:57:39.234893","indexId":"70217900","displayToPublicDate":"2021-02-09T07:55:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5896,"text":"Journal of Sustainable Water in the Built Environment","active":true,"publicationSubtype":{"id":10}},"title":"Microbial and viral indicators of pathogens and human health risks from recreational exposure to waters impaired by fecal contamination","docAbstract":"Fecal indicator bacteria (FIB) (e.g., fecal coliforms, Escherichia coli, and enterococci) have been used for decades to monitor for and protect the public from waterborne pathogens from fecal contamination. However, FIB may not perform well at predicting the presence of waterborne pathogens or human health outcomes from recreational exposure to fecal-contaminated surface waters. Numerous factors can influence the relationship between FIB and pathogens or human health outcomes, including the source(s) of contamination, the type of pathogen(s) present, differences in the survival and behavior of FIB and pathogens in the wastewater conveyance and treatment process, and varying environmental conditions. As a result, different indicators, such as source-specific microbial source tracking (MST) markers and viral fecal indicators, have been used as possible surrogates to better approximate pathogen abundance and human health risks in recreational waters. The performance of these alternative indicators has been mixed, with some promise of viral indicators better approximating viral pathogens than bacterial fecal indicators, and FIB generally more closely associated with bacterial and protozoal pathogen presence than human MST markers. Many of the assays to detect and quantify fecal indicators and pathogens are polymerase chain reaction-based assays, which detect and quantify nucleic acid [deoxyribonucleic acid (DNA) and ribonucleic acid (RNA)] sequences specific to a target of interest. Recent advances in DNA and RNA sequencing technologies may push the field toward metabarcoding approaches, where multiple targets can be detected and quantified simultaneously. Metabarcoding is currently more applicable to bacterial and protozoal assessments than viral assessments based on a lack of universal metabarcoding markers for viruses. Innovative technologies, such as biosensors and nanotechnologies, may provide more sensitive and accurate tools to detect and quantify pathogens. When a specific pathogen is of concern for a recreational water body, a practical approach in estimating the likelihood of human health outcomes is the application of quantitative microbial risk assessments (QMRAs). Quantitative microbial risk assessments can be used to model the likelihood of pathogen-specific human health outcomes from recreational exposure as a function of a surrogate indicator. Inputs for QMRAs include the ratio between the indicator to be monitored and the pathogen of interest, the concentration of the indicator, the amount of water ingested, and the likelihood of the health outcome based on the estimated amount of pathogen consumed. There are numerous unknowns about the behavior and survival of fecal indicators and pathogens in environmental waters. Developing accurate models to predict pathogen concentrations from fecal indicators in recreational waters will require a better understanding of these unknowns. Current methods and technologies for detecting and quantifying fecal indicators and pathogens are limited due to the rare and patchy nature of pathogens. Technological advances may help improve sensitivity for detecting and quantifying pathogens.