A robust method for characterizing the biophysical environment of terrestrial vegetation uses the relationship between Actual Evapotranspiration (AET) and Climatic Water Deficit (CWD). These variables are usually estimated from a water balance model rather than measured directly and are often more representative of ecologically-significant changes than temperature or precipitation. We evaluate trends and spatial patterns in AET and CWD in the Continental United States (CONUS) during 1980–2019 using a gridded water balance model. The western US had linear regression slopes indicating increasing CWD and decreasing AET (drying), while the eastern US had generally opposite trends. When limits to plant performance characterized by AET and CWD are exceeded, vegetation assemblages change. Widespread increases in aridity throughout the west portends shifts in the distribution of plants limited by available moisture. A detailed look at Sequoia National Park illustrates the high degree of fine-scale spatial variability that exists across elevation and topographical gradients. Where such topographical and climatic diversity exists, appropriate use of our gridded data will require sub-setting to an appropriate area and analyzing according to categories of interest such as vegetation communities or across obvious physical gradients. Recent studies have successfully applied similar water balance models to fire risk and forest structure in both western and eastern U.S. forests, arid-land spring discharge, amphibian colonization and persistence in wetlands, whitebark pine mortality and establishment, and the distribution of arid-land grass species and landscape scale vegetation condition. Our gridded dataset is available free for public use. Our findings illustrate how a simple water balance model can identify important trends and patterns at site to regional scales. However, at finer scales, environmental heterogeneity is driving a range of responses that may not be simply characterized by a single trend.
Chemical contamination of freshwaters is a global problem. In the United States alone, millions of kilometers of rivers and hectares of lakes and wetlands are impaired from contamination by chemicals including mercury, pesticides, polychlorinated biphenyls (PCBs), and trace metals (US Environmental Protection Agency, 2017). Efforts to mitigate the risks of contamination have largely focused on aquatic endpoints. However, these contaminants pose a risk not only to life in freshwater ecosystems but also to the terrestrial organisms that depend on freshwater ecosystems for food.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.5203","usgsCitation":"Kraus, J.M., Wesner, J., and Walters, D., 2021, Insect-mediated contaminant flux at the land–water interface: Are ecological subsidies driving exposure or is exposure driving subsidies?: Environmental Toxicology and Chemistry, v. 40, no. 11, p. 2953-2958, https://doi.org/10.1002/etc.5203.","productDescription":"6 p.","startPage":"2953","endPage":"2958","ipdsId":"IP-127477","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450962,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5203","text":"Publisher Index Page"},{"id":391424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":826402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wesner, Jeff S.","contributorId":268319,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff S.","affiliations":[{"id":55622,"text":"University of South Dakota, Department of Biology, 414 E. Clark St., Vermillion, SD","active":true,"usgs":false}],"preferred":false,"id":826403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":826404,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70225724,"text":"70225724 - 2021 - Modelling tilt noise caused by atmospheric processes at long periods for several horizontal seismometers at BFO—A reprise","interactions":[],"lastModifiedDate":"2021-11-05T11:58:08.77405","indexId":"70225724","displayToPublicDate":"2021-09-02T06:57:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Modelling tilt noise caused by atmospheric processes at long periods for several horizontal seismometers at BFO—A reprise","docAbstract":"Tilting of the ground due to loading by the variable atmosphere is known to corrupt very long period horizontal seismic records (below 10 mHz) even at the quietest stations. At BFO (Black Forest Observatory, SW-Germany), the opportunity arose to study these disturbances on a variety of simultaneously operated state-of-the-art broad-band sensors. A series of time windows with clear atmospherically caused effects was selected and attempts were made to model these ‘signals’ in a deterministic way. This was done by simultaneously least-squares fitting the locally recorded barometric pressure and its Hilbert transform to the ground accelerations in a bandpass between 100 and 3600 s periods. Variance reductions of up to 97 per cent were obtained. We show our results by combining the ‘specific pressure induced accelerations’ for the two horizontal components of the same sensor as vectors on a horizontal plane, one for direct pressure and one for its Hilbert transform. It turned out that at BFO the direct pressure effects are large, strongly position dependent and largely independent of atmospheric events for instruments installed on piers, while three post-hole sensors are only slightly affected. The infamous ‘cavity effects’ are invoked to be responsible for these large effects on the pier sensors. On the other hand, in the majority of cases all sensors showed very similar magnitudes and directions for the vectors obtained for the regression with the Hilbert transform, but highly variable from event to event especially in direction. Therefore, this direction most certainly has to do with the gradient of the pressure field moving over the station which causes a larger scale deformation of the crust. The observations are very consistent with these two fundamental mechanisms of how fluctuations of atmospheric surface pressure causes tilt noise. The results provide a sound basis for further improvements of the models for these mechanisms. The methods used here can already help to reduce atmospherically induced noise in long-period horizontal seismic records.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggab336","usgsCitation":"Zurn, W., Forbriger, T., Widmer-Schnidrig, R., Duffner, P., and Ringler, A.T., 2021, Modelling tilt noise caused by atmospheric processes at long periods for several horizontal seismometers at BFO—A reprise: Geophysical Journal International, v. 228, no. 2, p. 927-943, https://doi.org/10.1093/gji/ggab336.","productDescription":"17 p.","startPage":"927","endPage":"943","ipdsId":"IP-131609","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":450964,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5445/ir/1000140172","text":"External Repository"},{"id":391423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"228","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Zurn, W.","contributorId":268322,"corporation":false,"usgs":false,"family":"Zurn","given":"W.","affiliations":[{"id":55624,"text":"Black Forest Observatory (Schiltach)","active":true,"usgs":false}],"preferred":false,"id":826410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forbriger, T.","contributorId":268323,"corporation":false,"usgs":false,"family":"Forbriger","given":"T.","email":"","affiliations":[{"id":55625,"text":"Black Forest Observatory (Schiltach); Karlsruhe Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":826411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widmer-Schnidrig, R.","contributorId":221153,"corporation":false,"usgs":false,"family":"Widmer-Schnidrig","given":"R.","email":"","affiliations":[{"id":40338,"text":"Black Forest Observatory, Institute of Geodesy, Stuttgart University, Wolfach, Germany","active":true,"usgs":false}],"preferred":false,"id":826412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duffner, P.","contributorId":268324,"corporation":false,"usgs":false,"family":"Duffner","given":"P.","email":"","affiliations":[{"id":55625,"text":"Black Forest Observatory (Schiltach); Karlsruhe Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":826413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":826414,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223694,"text":"sir20205150 - 2021 - Precipitation-runoff processes in the Merced River Basin, Central California, with prospects for streamflow predictability, water years 1952–2013","interactions":[],"lastModifiedDate":"2021-09-02T11:51:45.887677","indexId":"sir20205150","displayToPublicDate":"2021-09-01T16:37:37","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5150","displayTitle":"Precipitation-Runoff Processes in the Merced River Basin, Central California, with Prospects for Streamflow Predictability, Water Years 1952–2013","title":"Precipitation-runoff processes in the Merced River Basin, Central California, with prospects for streamflow predictability, water years 1952–2013","docAbstract":"The U.S. Geological Survey, in cooperation with the California Department of Water Resources (DWR), has constructed a new spatially detailed Precipitation-Runoff Modeling System (PRMS) model for the Merced River Basin, California, which is a tributary of the San Joaquin River in California. Operated through an Object User Interface (OUI) with Ensemble Streamflow Prediction (ESP) and daily climate distribution preprocessing functionality, the model is calibrated primarily to simulate (and eventually, forecast) year-to-year variations of inflows to Lake McClure during the critical April–July snowmelt season. The model is intended to become part of a suite of methods used by DWR for estimating daily streamflow from the Merced River Basin, especially during the snowmelt season. This study describes the results of the application of an analysis tool that simulates responses to climate and land-use variations at a higher spatial resolution than previously available to DWR.
A geographic information system was used to delineate the model domain, that is, areas draining to a single outlet at U.S. Geological Survey streamflow-gaging station 11270900, Merced River below Merced Falls Dam, near Snell, CA (also known as California Data Exchange Center station MRC), and subdrainage areas, including four draining to internal gages used as calibration targets. Using this delineation, three contiguous subbasins were recognized and, along with the model domain and nested calibration targets, are the simulation units evaluated in this report.
An auto-calibration tool, LUCA (Let Us CAlibrate), was used for each calibration node, from headwaters to basin outlet, and then parameters were manually adjusted to complete the calibration. The main objective was to match April–July snowmelt seasonal discharge values of simulated streamflow to observed (measured or reconstructed) discharge values. Calibration or validation periods used site-specific streamflows—mostly from October 1, 1988, through September 30, 2013—but differed according to the period-of-record available for the measurements collected at internal gages or reconstructed flows for the single outlet.
The accuracy of the Merced PRMS streamflow simulations varied seasonally, as compared to observed values. Based on statistical results, the Merced PRMS model satisfactorily simulated snowmelt seasonal streamflows. April–July calibrations for all areas had small negative bias (not greater than 7 percent) and low relative error (less than 8 percent). Less satisfactory performance for other seasons was attributed to several factors: (1) high uncertainty in low or zero flows in summer and fall, (2) lack of accounting for basin withdrawals and anthropogenic water use, (3) unavailability and (or) inaccuracy of observed (measured) meteorological input data, and (4) uncertainty in reconstructed streamflow data.
With some additional refinement, the Merced PRMS model may be used for forecasting seasonal and longer-term streamflow variations; evaluating forecasted and past climate and land cover changes; providing water-resource managers with a consistent and documented method for estimating streamflow at ungaged sites within the basin; and aiding environmental studies, hydraulic design, water management, and water-quality projects in the Merced River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205150","collaboration":"Prepared in cooperation with California Department of Water Resources","usgsCitation":"Koczot, K.M., Risley, J.C., Gronberg, J.M., Donovan, J.M., and McPherson, K.R., 2021, Precipitation-runoff processes in the Merced River Basin, Central California, with prospects for streamflow predictability, water years 1952–2013: U.S. Geological Survey Scientific Investigations Report 2020–5150, 61 p., https://doi.org/10.3133/sir20205150.","productDescription":"Report: ix, 61 p.; 1 Figure: 16.0 x 10.0 inches; Data Release","numberOfPages":"61","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-028665","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":388739,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JH3KFR","linkHelpText":"Archive of Merced River Basin Precipitation-Runoff Modeling System, with forecasting, climate-file preparation, and data-visualization tools"},{"id":388738,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5150/sir20205150_fig11_sheet.pdf","text":"Figure 11 (16\" x 10\" sheet)","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Physical architecture of the Merced River Basin Precipitation-Runoff Modeling System."},{"id":388737,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5150/sir20205150.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388736,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5150/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Merced River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.3055419921875,\n 36.88401445049676\n ],\n [\n -119.27307128906249,\n 36.88401445049676\n ],\n [\n -119.27307128906249,\n 37.69251435532741\n ],\n [\n -121.3055419921875,\n 37.69251435532741\n ],\n [\n -121.3055419921875,\n 36.88401445049676\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
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U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
No abstract available.
","language":"English","publisher":"The Denver Well Logging Society","usgsCitation":"Lagesse, J.H., 2021, The Denver Well Logging Society September 2021 Newsletter: From the VP - Technology: Denver Well Drilling Society Newsletter, no. September 2021, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-132991","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":394321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394320,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dwls.spwla.org/2021-09-Newsletter.html"}],"issue":"September 2021","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":825641,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70223697,"text":"sir20215039 - 2021 - Occurrence, fate, and transport of aerially applied herbicides to control invasive buffelgrass within Saguaro National Park Rincon Mountain District, Arizona, 2015–18","interactions":[],"lastModifiedDate":"2022-07-28T20:28:09.038599","indexId":"sir20215039","displayToPublicDate":"2021-09-01T13:30:04","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5039","displayTitle":"Occurrence, Fate, and Transport of Aerially Applied Herbicides to Control Invasive Buffelgrass within Saguaro National Park Rincon Mountain District, Arizona, 2015–18","title":"Occurrence, fate, and transport of aerially applied herbicides to control invasive buffelgrass within Saguaro National Park Rincon Mountain District, Arizona, 2015–18","docAbstract":"The spread of the invasive and fire-adapted buffelgrass (Cenchrus ciliaris L.) threatens desert ecosystems by competing for resources, increasing fuel loads, and creating wildfire connectivity. The Rincon Mountain District of Saguaro National Park addressed this natural resource threat with the use of glyphosate-based herbicides (GBHs). In 2010, the Rincon Mountain District initiated an aerial restoration plan to control dense buffelgrass patches in remote areas and implemented a trial project to evaluate the effects of aerial restoration techniques that included the helicopter application of GBHs. In 2014, more than 250 acres of buffelgrass in the Rincon Mountain District were treated with the aerial application of GBHs. This widespread aerial application of GBHs continued through 2018, but the potential transport and effects to aquatic ecosystems were unknown.
In 2015–18, the U.S. Geological Survey, in cooperation with the National Park Service, studied the occurrence, distribution, fate, and transport of glyphosate in surface water and sediments derived from areas that were treated during past and current aerial herbicide applications. Three watersheds, treated with different regimens of GBHs, were sampled for glyphosate and the primary metabolite of glyphosate, aminomethylphosphonic acid (AMPA), during various hydrologic flow conditions. Water and aquatic sediment were collected from three watersheds, each in a different stage of application during the U.S. Geological Survey study. The unnamed watershed above the Loma Verde Trailhead referred to by the National Park Service as “Loma Verde canyon” had received no aerial treatment since 2014, whereas the Box Canyon watershed was aerially treated every year beginning in 2014. The Madrona Canyon watershed was first sprayed in 2016 and aerial application continued once a year though the entirety of the study. In addition, terrestrial soil samples were sampled from areas sprayed to understand dissipation rates and herbicide transport via sediments washing away during rainfall runoff. The concentrations present in water and sediment samples were compared to ecological benchmarks and characterized within the context of the environmental conditions of the park setting.
Of the 48 water samples collected and analyzed for glyphosate and AMPA, 10.4 percent and 14.6 percent were detected above the laboratory minimum detection limit, respectively. Mean water concentrations, calculated using specific statistical methods for non-detects, were equal to the laboratory minimum detection limit of 0.02 microgram per liter for samples collected in all the watersheds. In aquatic sediments, glyphosate and AMPA were detected in 10.7 and 25.0 percent of the samples, whereas 89.5 and 100 percent of the terrestrial soil samples had detections for glyphosate and AMPA, respectively. Mean aquatic sediment concentrations were 1.13 and 4.42 micrograms per kilogram (μg/kg) for glyphosate and AMPA, respectively. Mean terrestrial soil concentrations were orders of magnitude greater than water and aquatic sediment with concentrations of 678 μg/kg for AMPA and 1,240 μg/kg for glyphosate. Hours after glyphosate-based herbicide was applied, the concentrations of glyphosate and AMPA were present in terrestrial soil samples near or above the laboratory maximum detection limit of 5,000 μg/kg. The Box Canyon watershed was the most intensively treated watershed in terms of total land area treated, total amount of GBH applied, and number of years treated. The frequent and large volume of treatment resulted in the highest number of detections of glyphosate and AMPA in water (3 and 7 detections, respectively) and in aquatic sediment (2 and 6 detections, respectively) samples. In comparison, the other two watersheds had two or fewer detections for glyphosate and AMPA in water and aquatic sediment.
Glyphosate detected in pools was associated with increased rainfall closer in time to the last herbicide treatment. Glyphosate and AMPA concentration ratios above one, along with stable-isotope and tritium results, indicated that runoff processes were the primary transport mechanism for the two compounds when found in streams and pools rather than subsurface recharge or deeper flow paths. One pool in a small tributary of Box Canyon consistently had detections of glyphosate and AMPA in aquatic sediments, but these frequent concentrations were likely related to the intensive application upstream, near the steep terrain above the head of the channel that supplies the downstream pool. Intense flows during summer rainfall events move treated sediments into this channel where vegetation and the incised bedrock banks of the pool retained those sediments and ultimately led to frequent detections of both compounds. Isotope results in most of the pools and tinajas indicated that the water source had residence time representative of recently recharged waters, on the order of years.
No water concentrations exceeded published criteria for human health or aquatic life. Median and maximum glyphosate and AMPA water concentrations were lower than those reported in other national assessments, but maximum concentrations observed in individual runoff samples were higher than median concentrations measured in the national assessments. A similar finding was observed with aquatic sediment concentrations measured in the Rincon Mountain District. Results from the study were compared and assessed in the context of other studies examining GBHs and their effects on amphibians, fish, and macroinvertebrates. This comparison was used to generalize the potential risk to aquatic species similar to those species in the Rincon Mountain District. Concentrations of published effect levels were several orders of magnitude greater than the highest concentration detected in water at the Rincon Mountain District. Most published studies evaluate acute and chronic toxicity for glyphosate and GBHs, and these criteria may not be representative of environmental conditions in the Rincon Mountain District. The classic lethal dose studies conducted in a controlled laboratory setting may not be suitable for comparison to the longer, variable, low-dose exposure conditions in the pools and tinajas in the Rincon Mountain District. However, this study determined that the fate of GBHs transported from treated areas to potential aquatic habitat was highly variable in occurrence, timing, and concentrations. This variability in glyphosate concentrations was too high, and the potential exposure was determined to be far too complex to directly compare with the results from controlled studies.
This study provides the first information collected on GBHs used to control invasive buffelgrass in a remote, mountainous, and semiarid setting. The information about the transport and fate of herbicide application near aquatic habitat will help to inform managers about the broader ecosystem implications and provide useful information to other agencies implementing buffelgrass remediation strategies near aquatic habitat.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215039","collaboration":"Prepared in cooperation with the National Park Service and Saguaro National Park","usgsCitation":"Paretti, N.V., Beisner, K.R., Gungle, B., Meyer, M.T., Kunz, B.K., Hermosillo, E., Cederberg, J.R., and Mayo, J.P., 2021, Occurrence, fate, and transport of aerially applied herbicides to control invasive buffelgrass within Saguaro National Park Rincon Mountain District, Arizona, 2015–18: U.S. Geological Survey Scientific Investigations Report 2021–5039, 65 p., https://doi.org/10.3133/sir20215039.","productDescription":"Report: ix, 65 p.; Dataset","numberOfPages":"65","onlineOnly":"Y","ipdsId":"IP-099223","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":404268,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215039/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Scientific Investigations Report 2021–5039"},{"id":388749,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5039/images"},{"id":388746,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5039/covrthb.jpg"},{"id":388747,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5039/sir20215039.pdf","text":"Report","size":"34 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388748,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5039/sir20215039.xml"},{"id":388760,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":404267,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20223029","text":"Fact Sheet 2022-3029","description":"Paretti, N.V., and Gungle, B., 2022, Occurrence and transport of aerially applied herbicides to control invasive buffelgrass in Rincon Mountain District, Saguaro National Park, Arizona: U.S. Geological Survey Fact Sheet 2022-3029, 6 p., https://doi.org/10.3133/fs20223029.","linkHelpText":"- Occurrence and Transport of Aerially Applied Herbicides to Control Invasive Buffelgrass in Rincon Mountain District, Saguaro National Park, Arizona"}],"country":"United States","state":"Arizona","otherGeospatial":"Saguaro National Park Rincon Mountain District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.75248718261719,\n 32.027870563435584\n ],\n [\n -110.37483215332031,\n 32.027870563435584\n ],\n [\n -110.37483215332031,\n 32.27320009948135\n ],\n [\n -110.75248718261719,\n 32.27320009948135\n ],\n [\n -110.75248718261719,\n 32.027870563435584\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
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Misunderstandings regarding the term “false positive” present a significant hurdle to broad adoption of eDNA monitoring methods. Here, we identify three challenges to clear communication of false-positive error between scientists, managers, and the public. The first arises from a failure to distinguish between false-positive eDNA detection at the sample level and false-positive inference of taxa presence at the site level. The second is based on the large proportion of false positives that may occur when true-positive detections are likely to be rare, even when rates of contamination or other error are low. And the third misunderstanding occurs when conventional species detection approaches, often based on direct capture, are used to confirm eDNA approaches without acknowledging or quantifying the conventional approach's detection probability. The solutions to these issues include careful and consistent communication of error definitions, managing expectations of error rates, and providing a balanced discussion not only of alternative sources of species DNA, but also of the detection limitations of conventional methods. We argue that the benefit of addressing these misunderstandings will be increased confidence in the utility of eDNA methods and, ultimately, improved resource management using eDNA approaches.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.194","usgsCitation":"Darling, J., Jerde, C.L., and Sepulveda, A., 2021, What do you mean by false positive?: Environmental DNA, v. 3, no. 5, p. 879-883, https://doi.org/10.1002/edn3.194.","productDescription":"5 p.","startPage":"879","endPage":"883","ipdsId":"IP-124696","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":450967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.194","text":"Publisher Index Page"},{"id":411273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Darling, John A. 0000-0002-4776-9533","orcid":"https://orcid.org/0000-0002-4776-9533","contributorId":260860,"corporation":false,"usgs":false,"family":"Darling","given":"John A.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":860685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerde, Christopher L. 0000-0002-8074-3466","orcid":"https://orcid.org/0000-0002-8074-3466","contributorId":210301,"corporation":false,"usgs":false,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":860686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":860687,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230783,"text":"70230783 - 2021 - Incorporating uncertainty into groundwater salinity mapping using AEM data","interactions":[],"lastModifiedDate":"2022-04-26T16:03:13.299546","indexId":"70230783","displayToPublicDate":"2021-09-01T10:58:08","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incorporating uncertainty into groundwater salinity mapping using AEM data","docAbstract":"Airborne electromagnetic surveys provide spatially extensive resistivity information that can be useful for groundwater salinity mapping; however, the transformation from geophysical data to salinity interpretations carries uncertainty. We compare two quantitative approaches to salinity mapping recently applied to address water resource management objectives: the location of the depth to the freshwater-brine interface at Paradox Valley, Colorado, and 3D categorical mapping of fresh, brackish, and saline groundwater near oil and gas fields of the San Joaquin Valley, California. These different approaches were driven by a combination of the availability of water quality observations, the hydrogeologic setting, and study objectives.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"First international meeting for applied geoscience & energy expanded abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"First International Meeting for Applied Geoscience & Energy (IMAGE ’21)","conferenceDate":"Sep 26-Oct1, 2021","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/segam2021-3584073.1","usgsCitation":"Ball, L.B., and Minsley, B.J., 2021, Incorporating uncertainty into groundwater salinity mapping using AEM data, in First international meeting for applied geoscience & energy expanded abstracts, Sep 26-Oct1, 2021, p. 3105-3109, https://doi.org/10.1190/segam2021-3584073.1.","productDescription":"5 p.","startPage":"3105","endPage":"3109","ipdsId":"IP-128031","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":399677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":841357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":841358,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270492,"text":"70270492 - 2021 - G-LiHT user guide","interactions":[],"lastModifiedDate":"2025-08-21T16:02:56.444112","indexId":"70270492","displayToPublicDate":"2021-09-01T10:51:30","publicationYear":"2021","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"G-LiHT user guide","docAbstract":"No abstract available.
","language":"English","publisher":"NASA","usgsCitation":"Wirt, B., 2021, G-LiHT user guide (Version 2.0), 26 p.","productDescription":"26 p.","ipdsId":"IP-133130","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://lpdaac.usgs.gov/documents/1312/G-LiHT_User_Guide_V2.pdf","linkFileType":{"id":1,"text":"pdf"}}],"edition":"Version 2.0","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirt, Bradford 0000-0001-6115-6963","orcid":"https://orcid.org/0000-0001-6115-6963","contributorId":359919,"corporation":false,"usgs":false,"family":"Wirt","given":"Bradford","affiliations":[{"id":85935,"text":"KBR, Inc, contracted to USGS","active":true,"usgs":false}],"preferred":false,"id":946459,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70237357,"text":"70237357 - 2021 - LakeEnsemblR: An R package that facilitates ensemble modelling of lakes","interactions":[],"lastModifiedDate":"2022-10-11T15:49:16.703697","indexId":"70237357","displayToPublicDate":"2021-09-01T10:40:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"LakeEnsemblR: An R package that facilitates ensemble modelling of lakes","docAbstract":"Model ensembles have several benefits compared to single-model applications but are not frequently used within the lake modelling community. Setting up and running multiple lake models can be challenging and time consuming, despite the many similarities between the existing models (forcing data, hypsograph, etc.). Here we present an R package, LakeEnsemblR, that facilitates running ensembles of five different vertical one-dimensional hydrodynamic lake models (FLake, GLM, GOTM, Simstrat, MyLake). The package requires input in a standardised format and a single configuration file. LakeEnsemblR formats these files to the input required by each model, and provides functions to run and calibrate the models. The outputs of the different models are compiled into a single file, and several post-processing operations are supported. LakeEnsemblR's workflow standardisation can simplify model benchmarking and uncertainty quantification, and improve collaborations between scientists. We showcase the successful application of LakeEnsemblR for two different lakes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2021.105101","usgsCitation":"Moore, T.N., Mesman, J., Ladwig, R., Feldbauer, J., Olsson, F., Pilla, R.M., Shatwell, T., Venkiteswaran, J.J., Delany, A.D., Dugan, H., Rose, K.C., and Read, J., 2021, LakeEnsemblR: An R package that facilitates ensemble modelling of lakes: Environmental Modelling & Software, v. 143, 105101, 14 p., https://doi.org/10.1016/j.envsoft.2021.105101.","productDescription":"105101, 14 p.","ipdsId":"IP-122731","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":450973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2021.105101","text":"Publisher Index Page"},{"id":408161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Tadhg N.","contributorId":297476,"corporation":false,"usgs":false,"family":"Moore","given":"Tadhg","email":"","middleInitial":"N.","affiliations":[{"id":64406,"text":"Dundalk Institute of Technology, Centre for Freshwater and Environmental Studies, Dundalk, Co. 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These aquatic-terrestrial interactions are crucial in carbon mobilization, transformation, ecosystem productivity, and have important implications for the role of freshwater ecosystems in the global carbon budget. We utilized high-frequency oxygen, temperature, and carbon dioxide (CO2) data to infer watershed connectivity in Boulder Creek, a mid-sized (1160 km2) watershed located in Colorado, USA. Daily modeled gross primary production (GPP), ecosystem respiration (ER), net ecosystem production (NEP), and reaeration coefficients (K600) were paired with high-frequency, in-situ dissolved CO2 data to characterize changes in metabolic regime and carbon flux on a stream influenced by seasonal snowmelt. GPP and ER were correlated (ρ = −0.72, p ≪ 0.001) during the non-snowmelt period and NEP was frequently negative. Mean FCO2 during the non-snowmelt period was approximately 302 (±171) mmol C m−2 d−1 and was primarily supported by watershed CO2 inputs. During snowmelt, GPP and ER were not significantly correlated (ρ = −0.22, p = 0.05), and mean NEP was significantly more negative than during non-snowmelt. Watershed connectivity was higher during snowmelt, as evidenced by significantly higher FCO2 (843 ± 338 mmol C m−2 d−1) and greater allochthonous CO2 inputs than during non-snowmelt periods, emphasizing the effects of seasonal differences in aquatic-terrestrial linkages in this stream. We suggest that our understanding of watershed carbon budgets is subject to temporal dynamics which control the degree of connectivity between terrestrial and aquatic ecosystems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JG006296","usgsCitation":"Reed, A.P., Stets, E.G., Murphy, S.F., and Mullins, E., 2021, Aquatic-terrestrial linkages control metabolism and carbon dynamics in a mid-sized, urban stream influenced by snowmelt: Journal of Geophysical Research Biogeosciences, v. 126, no. 9, e2021JG006296, 16 p., https://doi.org/10.1029/2021JG006296.","productDescription":"e2021JG006296, 16 p.","ipdsId":"IP-113327","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":450975,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jg006296","text":"Publisher Index Page"},{"id":436214,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P991TMNQ","text":"USGS data release","linkHelpText":"Modeled Stream Metabolism in Boulder Creek near Boulder, CO (2016 - 2018)"},{"id":390389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","otherGeospatial":"Boulder Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.43922424316406,\n 39.95343802330847\n ],\n [\n -105.15975952148438,\n 39.95343802330847\n ],\n [\n -105.15975952148438,\n 40.054949943999496\n ],\n [\n -105.43922424316406,\n 40.054949943999496\n ],\n [\n -105.43922424316406,\n 39.95343802330847\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":824894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":824895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullins, Emily 0000-0002-6710-0327","orcid":"https://orcid.org/0000-0002-6710-0327","contributorId":219993,"corporation":false,"usgs":true,"family":"Mullins","given":"Emily","email":"","affiliations":[],"preferred":true,"id":824896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248686,"text":"70248686 - 2021 - Redefining the age of the lower Colorado River, southwestern United States: Comment","interactions":[],"lastModifiedDate":"2023-09-18T15:40:26.561621","indexId":"70248686","displayToPublicDate":"2021-09-01T10:35:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Redefining the age of the lower Colorado River, southwestern United States: Comment","docAbstract":"No abstract available.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49145C.1","usgsCitation":"Dorsey, R.J., Axen, G.J., Grove, M.J., Housen, B., Jefferson, G., McDougall-Reid, K., Murray, L., Oskin, M.E., Peryam, T., van Wijk, J.W., and Young, E., 2021, Redefining the age of the lower Colorado River, southwestern United States: Comment: Geology, v. 49, no. 9, e531, 1 p., https://doi.org/10.1130/G49145C.1.","productDescription":"e531, 1 p.","ipdsId":"IP-129160","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49145c.1","text":"Publisher Index Page"},{"id":420903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":883212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Axen, Gary J.","contributorId":49040,"corporation":false,"usgs":true,"family":"Axen","given":"Gary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":883213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, Martin J.","contributorId":329751,"corporation":false,"usgs":false,"family":"Grove","given":"Martin","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":883214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Housen, Bernard","contributorId":30544,"corporation":false,"usgs":true,"family":"Housen","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":883215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jefferson, George","contributorId":329796,"corporation":false,"usgs":false,"family":"Jefferson","given":"George","affiliations":[],"preferred":false,"id":883333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDougall-Reid, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":216211,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murray, Lyndon","contributorId":329753,"corporation":false,"usgs":false,"family":"Murray","given":"Lyndon","email":"","affiliations":[{"id":78712,"text":"Colorado Desert District Stout Research Center","active":true,"usgs":false}],"preferred":false,"id":883217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":883218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peryam, Tom","contributorId":329755,"corporation":false,"usgs":false,"family":"Peryam","given":"Tom","email":"","affiliations":[{"id":78713,"text":"Devon Energy Corporation, Oklahoma City","active":true,"usgs":false}],"preferred":false,"id":883219,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"van Wijk, Jolante W.","contributorId":329756,"corporation":false,"usgs":false,"family":"van Wijk","given":"Jolante","email":"","middleInitial":"W.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":883220,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Young, Elaine","contributorId":296630,"corporation":false,"usgs":false,"family":"Young","given":"Elaine","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":883221,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70228199,"text":"70228199 - 2021 - Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods","interactions":[],"lastModifiedDate":"2022-02-07T16:37:38.967004","indexId":"70228199","displayToPublicDate":"2021-09-01T10:05:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods","title":"Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods","docAbstract":"Greater sage-grouse (Centrocercus urophasianus) have experienced considerable range contraction and reduced abundance in response to habitat loss and degradation. Translocation is a conservation action that is often used to reintroduce extirpated populations or augment existing small populations. Translocations have had limited success in restoring viable populations of sage-grouse; a lack of success is attributed to long-distance post-release movements away from release sites, reduced survival, and lack of reproductive success of translocated individuals. Translocating female sage-grouse with their chicks (brood translocation) is a technique aimed at promoting breeding area fidelity and reproduction and may be beneficial to population restoration efforts. Furthermore, the ability to capture, relocate, and release individuals while minimizing translocation-induced loss increases the overall probability of restoration success. Accordingly, we developed a protocol to translocate female sage-grouse and their broods simultaneously, using a delayed-release system that included a custom release box and acclimation pen. We tested our protocol across 2 separate restoration projects in North Dakota and California during 2017–2019 with a total of 38 translocated females and 196 chicks. We successfully released 174/196 chicks (88.8%) from 32/38 (84.2%) broods. Our protocol builds on existing translocation methods used to translocate sage-grouse and will likely prove to be a critical technique in restoring sage-grouse populations.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1199","usgsCitation":"Meyerpeter, M.B., Lazenby, K.D., Coates, P.S., Ricca, M.A., Mathews, S.R., Gardner, S.C., Dahlgren, D.K., and Delehanty, D.J., 2021, Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods: Wildlife Society Bulletin, v. 45, no. 3, p. 529-537, https://doi.org/10.1002/wsb.1199.","productDescription":"9 p.","startPage":"529","endPage":"537","ipdsId":"IP-119078","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1199","text":"Publisher Index Page"},{"id":395540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, North Dakota, Wyoming","county":"Bowman County, Carbon County, Mono County, Slope County, Sweetwater County","otherGeospatial":"Parker Meadows","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.65347290039062,\n 38.07944663265489\n ],\n [\n -118.80752563476561,\n 38.07944663265489\n ],\n [\n -118.80752563476561,\n 38.484769753492536\n ],\n [\n -119.65347290039062,\n 38.484769753492536\n ],\n [\n -119.65347290039062,\n 38.07944663265489\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.23828125,\n 45.82114340079471\n ],\n [\n -102.12890625,\n 45.82114340079471\n ],\n [\n -102.12890625,\n 46.581518465658014\n ],\n [\n -104.23828125,\n 46.581518465658014\n ],\n [\n -104.23828125,\n 45.82114340079471\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.64355468749999,\n 41.0130657870063\n ],\n [\n -106.94091796875,\n 41.0130657870063\n ],\n [\n -106.94091796875,\n 42.415346114253616\n ],\n [\n -109.64355468749999,\n 42.415346114253616\n ],\n [\n -109.64355468749999,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyerpeter, Mary Beth 0000-0003-4727-874X","orcid":"https://orcid.org/0000-0003-4727-874X","contributorId":274845,"corporation":false,"usgs":true,"family":"Meyerpeter","given":"Mary","email":"","middleInitial":"Beth","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazenby, Kade D.","contributorId":257564,"corporation":false,"usgs":false,"family":"Lazenby","given":"Kade","email":"","middleInitial":"D.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. 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Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":833389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mathews, Steven R. 0000-0002-3165-9460 smathews@usgs.gov","orcid":"https://orcid.org/0000-0002-3165-9460","contributorId":176922,"corporation":false,"usgs":true,"family":"Mathews","given":"Steven","email":"smathews@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahlgren, David K.","contributorId":257565,"corporation":false,"usgs":false,"family":"Dahlgren","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. 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Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":833394,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833395,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70240162,"text":"70240162 - 2021 - Food, culture and climate","interactions":[],"lastModifiedDate":"2023-01-31T15:53:46.585105","indexId":"70240162","displayToPublicDate":"2021-09-01T09:44:33","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":13285,"text":"Webinar Series Report","active":true,"publicationSubtype":{"id":4}},"title":"Food, culture and climate","docAbstract":"The Social Sciences Coordinating Committee (SSCC) is one of multiple Interagency Groups that support the U.S. Global Change Research Program (USGCRP). USGCRP began as a Presidential initiative in 1989 and was mandated by Congress through the U.S. Global Change Research Act of 1990 “to assist the Nation and the world to understand, assess, predict, and respond to human-induced and natural processes of global change.” USGCRP is overseen by the Subcommittee on Global Change Research, composed of representatives from each of USGCRP’s 13 member agencies. The mission of the SSCC is to foster the integration of the methods, findings, and disciplinary perspectives of the social, behavioral, and economic sciences, along with interdisciplinary and transdisciplinary approaches that include these sciences, into USGCRP activities. The SSCC serves as a social science resource to other USGCRP interagency working groups, the Subcommittee on Global Change Research, and other USGCRP activities such as the National Climate Assessment.
The SSCC’s Food, Culture, and Climate webinar series (held from September 14 to October 12, 2021) highlighted the ways in which social science research can elucidate the role of climate change in socio-cultural systems. It drew attention to the humanistic frameworks that underpin social scientific understanding of the ways individuals, households, and communities experience climate change. In particular, the seminars explored how the impacts of climate change are felt and understood by individuals and communities, how they interact with other stressors, and how they amplify existing inequities and vulnerabilities. This understanding is vital not only to the production of scientific knowledge, but also to the use of that knowledge in practice.
This report provides a summary of the key takeaways from this webinar series. The webinar series organizers identified recurrent themes and salient points that emerged in conversations across the three events. Here, central issues of the discussions on the relationships among food, culture, and climate, as well as the role that social science plays in elucidating them, are synthesized and highlighted. Recordings of the webinar series are available online from USGCRP.
","language":"English","publisher":"U.S. Global Change Research Program","usgsCitation":"Zycherman, A., Brooks, E., Campbell, A., Farber, B., Jurjonas, M.D., and Scheetz, A., 2021, Food, culture and climate: Webinar Series Report, 14 p.","productDescription":"14 p.","ipdsId":"IP-144981","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":412506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412481,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://downloads.globalchange.gov/sscc/FoodCultureClimate_Final.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zycherman, Ariela","contributorId":301859,"corporation":false,"usgs":false,"family":"Zycherman","given":"Ariela","email":"","affiliations":[],"preferred":false,"id":862856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Emily 0000-0001-5735-369X","orcid":"https://orcid.org/0000-0001-5735-369X","contributorId":301849,"corporation":false,"usgs":true,"family":"Brooks","given":"Emily","email":"","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":862812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Amber","contributorId":301860,"corporation":false,"usgs":false,"family":"Campbell","given":"Amber","email":"","affiliations":[],"preferred":false,"id":862857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farber, Brianna","contributorId":301861,"corporation":false,"usgs":false,"family":"Farber","given":"Brianna","email":"","affiliations":[],"preferred":false,"id":862858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jurjonas, Matthew David 0000-0003-1008-639X","orcid":"https://orcid.org/0000-0003-1008-639X","contributorId":301850,"corporation":false,"usgs":true,"family":"Jurjonas","given":"Matthew","email":"","middleInitial":"David","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":862813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheetz, Austin","contributorId":301862,"corporation":false,"usgs":false,"family":"Scheetz","given":"Austin","email":"","affiliations":[],"preferred":false,"id":862859,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229691,"text":"70229691 - 2021 - Seasonal and age-related variation in daily travel distances of California Condors","interactions":[],"lastModifiedDate":"2022-03-15T14:33:38.031134","indexId":"70229691","displayToPublicDate":"2021-09-01T09:17:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and age-related variation in daily travel distances of California Condors","docAbstract":"Despite a dramatic recovery from the brink of extinction, California Condors (Gymnogyps californianus) still face significant anthropogenic threats. Although condor movement patterns across large temporal scales are understood, less is known about their movements on a fine temporal scale. We used a trajectory-based analysis of GPS telemetry data gathered from condors during 2013 to 2018 to investigate the relationship between the distances condors travel in a day, demographic characteristics (e.g., age and sex), and time of year. Most (>71.4%) daily travel distances by condors were <100 km, and, on average, condors traveled 70.1 ± 60.9 km/d (x̄ ± SD). On two occasions one condor traveled >400 km in a single day (477 km one day and 415 km the following day). The tendency for condors to travel long distances increased with age, and condors traveled longer distances during the summer and when nesting. Traveling such long distances likely exposes birds to threats across a greater variety of landscapes than would be expected for birds that moved shorter distances. Given anticipated condor range expansion and population increase, this work highlights the importance of coordinating condor conservation across the broad spatial scales at which they move.
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University","active":true,"usgs":false}],"preferred":false,"id":837969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":837970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burnett, Joseph","contributorId":127741,"corporation":false,"usgs":false,"family":"Burnett","given":"Joseph","email":"","affiliations":[{"id":7132,"text":"Ventana Wildlife Society, Salinas, CA","active":true,"usgs":false}],"preferred":false,"id":837971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837973,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221705,"text":"70221705 - 2021 - Redefining the age of the lower Colorado River, southwestern United States: Reply","interactions":[],"lastModifiedDate":"2021-09-15T14:14:36.049505","indexId":"70221705","displayToPublicDate":"2021-09-01T09:13:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Redefining the age of the lower Colorado River, southwestern United States: Reply","docAbstract":"Crow et al. (2021) report new geochronologic and paleomagnetic data indicating that the lower Colorado River (CR) became integrated to the proto–Gulf of California (GOC) between 4.8 and 4.62 Ma instead of at ca. 5.3 Ma, as suggested by Dorsey et al. (2007, 2018). Dorsey et al. (2021) dispute this new chronology but offer no alternative explanation for one of the key data sets requiring it, new detrital sanidine (DS) geochronology. This accurate and precise constraint agrees with detrital zircon results on separate samples (Cloos, 2014) and is tied through magnetostratigraphy to the first known CR sands in the GOC.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49334Y.1","usgsCitation":"Crow, R.S., Schwing, J., Karlstrom, K., Heizler, M., Pearthree, P., House, K., Dulin, S., Janecke, S., Stelten, M.E., and Crossey, L., 2021, Redefining the age of the lower Colorado River, southwestern United States: Reply: Geology, v. 49, no. 9, p. e532-e533, https://doi.org/10.1130/G49334Y.1.","productDescription":"2 p.","startPage":"e532","endPage":"e533","ipdsId":"IP-130110","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49334y.1","text":"Publisher Index Page"},{"id":389264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Nevada","otherGeospatial":"lower Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.01562499999999,\n 31.55981453201843\n ],\n [\n -114.136962890625,\n 31.55981453201843\n ],\n [\n -114.136962890625,\n 36.589068371399115\n ],\n [\n -116.01562499999999,\n 36.589068371399115\n ],\n [\n -116.01562499999999,\n 31.55981453201843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwing, Jonathan","contributorId":242021,"corporation":false,"usgs":false,"family":"Schwing","given":"Jonathan","affiliations":[],"preferred":false,"id":818480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Karl","contributorId":245363,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":818481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matt","contributorId":245364,"corporation":false,"usgs":false,"family":"Heizler","given":"Matt","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":818482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearthree, Philip","contributorId":195166,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","affiliations":[],"preferred":false,"id":818483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818484,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dulin, Shannon","contributorId":260688,"corporation":false,"usgs":false,"family":"Dulin","given":"Shannon","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":818485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Janecke, Susane","contributorId":260689,"corporation":false,"usgs":false,"family":"Janecke","given":"Susane","email":"","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":818486,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":818487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crossey, Laurie","contributorId":260692,"corporation":false,"usgs":false,"family":"Crossey","given":"Laurie","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":818488,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70230365,"text":"70230365 - 2021 - Meter-scale lithofacies cycle and controls on variations in oil saturation, Wolfcamp A, Delaware and Midland Basins","interactions":[],"lastModifiedDate":"2022-04-11T14:08:51.213521","indexId":"70230365","displayToPublicDate":"2021-09-01T09:02:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Meter-scale lithofacies cycle and controls on variations in oil saturation, Wolfcamp A, Delaware and Midland Basins","docAbstract":"Typical meter-scale lithofacies cycles from the Wolfcamp A in the Delaware and Midland Basins comprise basal carbonate facies overlain by calcareous or siliceous mudrocks. Siliceous mudstones are the most organic-rich facies with high total organic carbon (TOC > 3 wt. %), whereas thin carbonate beds have the lowest organic matter (OM) content among the lithofacies present (TOC TOC, programmed pyrolysis analysis, and residual gas analysis from rock crushing.
Oil saturation index (OSI) (the amount of free oil normalized by TOC; OSI = S1 × 100/TOC) is used as an indicator of oil enrichment or depletion in the reservoir, where S1 is volatile oil in programmed pyrolysis (temperature = 300°C). Both TOC-lean carbonate and TOC-rich mudstone lithofacies have high OSI in these meter-scale cycles (average OSI is 124.5 mg HC/g TOC for carbonate beds), indicating that migrated oil is present. Residual gas analyses show lower dryness values (C1/C1–5) and higher oil indicator values (100 × C4+5/C1–5) in TOC-lean carbonate beds compared to the TOC-rich mudstones, likely indicating a cumulative oil and gas charging effect through source rock maturation. Oil and gas generated at different stages of thermal maturation were partially expelled from OM-rich siliceous/calcareous mudstones into adjacent OM-lean carbonate beds. This study shows oil expulsion from source to adjacent carbonate beds is a key factor in variations of oil saturation in the Wolfcamp A.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01152120065","usgsCitation":"Zhang, T., Fu, Q., Sun, X., Hackley, P.C., Tingwei Ko, L., and Shao, D., 2021, Meter-scale lithofacies cycle and controls on variations in oil saturation, Wolfcamp A, Delaware and Midland Basins: AAPG Bulletin, v. 105, no. 9, p. 1821-1846, https://doi.org/10.1306/01152120065.","productDescription":"26 p.","startPage":"1821","endPage":"1846","ipdsId":"IP-118666","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":398466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":289932,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":840085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fu, Qilong","contributorId":289933,"corporation":false,"usgs":false,"family":"Fu","given":"Qilong","email":"","affiliations":[],"preferred":false,"id":840086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Xun","contributorId":289934,"corporation":false,"usgs":false,"family":"Sun","given":"Xun","affiliations":[],"preferred":false,"id":840087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":840084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tingwei Ko, Lucy","contributorId":289935,"corporation":false,"usgs":false,"family":"Tingwei Ko","given":"Lucy","email":"","affiliations":[],"preferred":false,"id":840088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shao, Deyong","contributorId":289936,"corporation":false,"usgs":false,"family":"Shao","given":"Deyong","affiliations":[],"preferred":false,"id":840089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226800,"text":"70226800 - 2021 - Strategic considerations for invasive species managers in the utilization ofenvironmental DNA (eDNA): Steps for incorporating this powerful surveillance tool","interactions":[],"lastModifiedDate":"2021-12-14T14:59:50.696869","indexId":"70226800","displayToPublicDate":"2021-09-01T08:57:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Strategic considerations for invasive species managers in the utilization ofenvironmental DNA (eDNA): Steps for incorporating this powerful surveillance tool","docAbstract":"Invasive species surveillance programs can utilize environmental DNA sampling and analysis to provide information on the presence of invasive species. Wider utilization of eDNA techniques for invasive species surveillance may be warranted. This paper covers topics directed towards invasive species managers and eDNA practitioners working at the intersection of eDNA techniques and invasive species surveillance. It provides background information on the utility of eDNA for invasive species management and points to various examples of its use across federal and international programs. It provides information on 1) why an invasive species manager should consider using eDNA, 2) deciding if eDNA can help with the manager’s surveillance needs, 3) important components to operational implementation, and 4) a high-level overview of the technical steps necessary for eDNA analysis. The goal of this paper is to assist invasive species managers in deciding if, when, and how to use eDNA for surveillance. If eDNA use is elected, the paper provides guidance on steps to ensure a clear understanding of the strengths and limitation of the methods and how results can be best utilized in the context of invasive species surveillance.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2021.12.3.15","usgsCitation":"Morisette, J., Burgiel, S., Brantley, K., Daniel, W., Darling, J., Davis, J., Franklin, T.W., Gaddis, K., Hunter, M., Lance, R., Leskey, T., Passamaneck, Y., Piaggio, A.J., Rector, B., Sepulveda, A., Smith, M., Stepien, C.A., and Wilcox, T., 2021, Strategic considerations for invasive species managers in the utilization ofenvironmental DNA (eDNA): Steps for incorporating this powerful surveillance tool: Management of Biological Invasions, v. 12, no. 3, p. 747-775, https://doi.org/10.3391/mbi.2021.12.3.15.","productDescription":"29p.","startPage":"747","endPage":"775","ipdsId":"IP-134007","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2021.12.3.15","text":"Publisher Index Page"},{"id":392857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morisette, Jeffrey 0000-0002-0483-0082","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":212187,"corporation":false,"usgs":false,"family":"Morisette","given":"Jeffrey","affiliations":[{"id":38451,"text":"U.S. Department of the Interior, National Invasive Species Council Secretariat","active":true,"usgs":false}],"preferred":false,"id":828311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgiel, Stanley","contributorId":270014,"corporation":false,"usgs":false,"family":"Burgiel","given":"Stanley","affiliations":[],"preferred":false,"id":828312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, 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0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":828319,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lance, Richard","contributorId":116452,"corporation":false,"usgs":false,"family":"Lance","given":"Richard","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":828320,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leskey, Tracy","contributorId":270024,"corporation":false,"usgs":false,"family":"Leskey","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":828321,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Passamaneck, Yale","contributorId":270026,"corporation":false,"usgs":false,"family":"Passamaneck","given":"Yale","affiliations":[],"preferred":false,"id":828322,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Piaggio, Antoinette J.","contributorId":174782,"corporation":false,"usgs":false,"family":"Piaggio","given":"Antoinette","email":"","middleInitial":"J.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":828323,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rector, Brian G.","contributorId":270028,"corporation":false,"usgs":false,"family":"Rector","given":"Brian","middleInitial":"G.","affiliations":[],"preferred":false,"id":828324,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":828325,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, Melissa","contributorId":139524,"corporation":false,"usgs":false,"family":"Smith","given":"Melissa","affiliations":[{"id":12788,"text":"National Weather Service","active":true,"usgs":false}],"preferred":false,"id":828326,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stepien, Carol A","contributorId":270031,"corporation":false,"usgs":false,"family":"Stepien","given":"Carol","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":828327,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wilcox, Taylor","contributorId":152363,"corporation":false,"usgs":false,"family":"Wilcox","given":"Taylor","email":"","affiliations":[{"id":18916,"text":"U.S. Department of Agriculture, Forest Service, National Genomics Center for Wildlife and Fish Conservation, Rocky Mountain Research Station, Missoula, MT 59801 USA","active":true,"usgs":false}],"preferred":false,"id":828328,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70228264,"text":"70228264 - 2021 - Developing bare-earth digital elevation models from structure-from-motion data on barrier islands","interactions":[],"lastModifiedDate":"2023-06-09T14:08:15.215958","indexId":"70228264","displayToPublicDate":"2021-09-01T08:49:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing bare-earth digital elevation models from structure-from-motion data on barrier islands","docAbstract":"Unoccupied aerial systems can collect aerial imagery that can be used to develop structure-from-motion products with a temporal resolution well-suited to monitoring dynamic barrier island environments. However, topographic data created using photogrammetric techniques such as structure-from-motion represent the surface elevation including the vegetation canopy. Additional processing is required for estimating bare-earth elevation, which is critical for understanding the underlying geomorphology of these islands. In this study, we used a vegetation and elevation survey to produce bare-earth digital elevation models from structure-from-motion-derived elevation products for two sites on Dauphin Island, Alabama (USA). One site was exposed to high wave energy and included a mix of beach, dune, and barrier flat habitats that were dominated by supratidal/upland herbaceous vegetation. The second site was exposed to low wave energy and was dominated by intertidal marsh. Aerial imagery was collected in late fall of 2018 and spring of 2019. We tested several machine learning algorithms for predicting and removing elevation bias for vegetated areas using predictors that included spectral indices from unoccupied aerial systems-based multispectral imagery and landscape position information (e.g., relative topography and distance from shore). Models were developed for each site and season. We also explored how well the model from one season generalized to data from a different season for the same site. For developing initial digital surface models, we found that utilizing a minimum bin algorithm, as opposed to interpolation, led to lower elevation bias. For bias removal, Gaussian process regression performed the best and led to a root mean square error for the bare-earth digital elevation models of around 0.10 m for the high energy site and 0.15 m for the low energy site. Compared to the digital surface models, the root mean square error for the bare-earth digital elevation models was reduced by at least 29 percent for the high energy site and 69 percent for the low energy site. For all models, common predictors included surface elevation, vegetation greenness, and distance from the shoreline. The models produced comparable results when trained using data from a different season. The error estimates for all analyses were within published elevation standards for lidar data for vegetated areas. With calibration, this approach could be portable to other areas or data, such as aerial lidar (conventional or unoccupied), to provide an efficient and repeatable framework for monitoring geomorphology or provide baseline elevations for predicting changes to these environments under future conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2021.08.014","usgsCitation":"Enwright, N., Kranenburg, C.J., Patton, B., Dalyander, P., Brown, J., Piazza, S., and Cheney, W.C., 2021, Developing bare-earth digital elevation models from structure-from-motion data on barrier islands: ISPRS Journal of Photogrammetry and Remote Sensing, v. 180, p. 269-282, https://doi.org/10.1016/j.isprsjprs.2021.08.014.","productDescription":"14 p.; Data Release","startPage":"269","endPage":"282","ipdsId":"IP-127598","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450987,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2021.08.014","text":"Publisher Index Page"},{"id":436215,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RA15I0","text":"USGS data release","linkHelpText":"Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018-19"},{"id":395611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417857,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99PX0O3"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.33969116210938,\n 30.211608223816906\n ],\n [\n -88.06159973144531,\n 30.211608223816906\n ],\n [\n -88.06159973144531,\n 30.286938665455985\n ],\n [\n -88.33969116210938,\n 30.286938665455985\n ],\n [\n -88.33969116210938,\n 30.211608223816906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"180","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217794,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":833555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. 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Salinities as low as 2 ppt (3.6 mScm–1) can impair duckling growth and influence behavior, with mortality occurring above 9 ppt (14.8 mScm–1). We used satellite imagery to quantify the amount of available water, and sampled surface water salinity at Grizzly Island, in the brackish Suisun Marsh, at three time-periods during waterfowl breeding (April, May, July) over 4 years (2016–2019). More water was available and salinity was lower during wetter years (2017, 2019) than during drier years (2016, 2018), and the amount of water in wetlands decreased 73%–86% from April to July. Across all time-periods and years, the majority (64%–100%) of wetland habitat area had salinities above what has been shown to negatively affect ducklings (> 2 ppt), and up to 42% of wetland area had salinities associated with duckling mortality (> 9 ppt). During peak duckling production in May, 81%–95% of available water had salinity above 2 ppt, and 5%–21% was above 9 ppt. In May of the driest year (2016), only 0.5 km2 of low-salinity water (< 2 ppt) was available to ducklings in the study area, compared to 2.6 km2 in May of the wettest year (2017). Private duck clubs own the majority of wetland habitat at Grizzly Island and consistently had a greater percentage of land flooded during summer than did publicly owned wetlands, but private wetlands generally had higher salinities than public wetlands, likely because they draw from higher-salinity water sources. By July, few wetlands remained flooded, and most had salinities high enough to impair duckling growth and survival. Local waterfowl populations would benefit from management practices that provide fresher water during peak duckling production in May and retain more water through July.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2021v19iss3art5","usgsCitation":"Schacter, C.R., Peterson, S.H., Herzog, M.P., Hartman, C.A., Casazza, M.L., and Ackerman, J.T., 2021, Wetland availability and salinity concentrations for breeding waterfowl in Suisun Marsh, California: San Francisco Estuary and Watershed Science, v. 19, no. 3, 5, 25 p., https://doi.org/10.15447/sfews.2021v19iss3art5.","productDescription":"5, 25 p.","ipdsId":"IP-126056","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss3art5","text":"Publisher Index Page"},{"id":389952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisan Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1137237548828,\n 38.03889809689809\n ],\n [\n -121.83425903320314,\n 38.03889809689809\n ],\n [\n -121.83425903320314,\n 38.23494411562881\n ],\n [\n -122.1137237548828,\n 38.23494411562881\n ],\n [\n -122.1137237548828,\n 38.03889809689809\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schacter, Carley Rose 0000-0001-5493-2768","orcid":"https://orcid.org/0000-0001-5493-2768","contributorId":266023,"corporation":false,"usgs":true,"family":"Schacter","given":"Carley","email":"","middleInitial":"Rose","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226613,"text":"70226613 - 2021 - Microfossils from Calvert Cliffs give us clues to the future warmer climate","interactions":[],"lastModifiedDate":"2021-12-01T14:50:49.276172","indexId":"70226613","displayToPublicDate":"2021-09-01T08:40:00","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9936,"text":"Ecphora Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Microfossils from Calvert Cliffs give us clues to the future warmer climate","docAbstract":"No abstract available.
","language":"English","publisher":"Calvert Marine Museum","usgsCitation":"Sutton, S., Robinson, M., Culver, S.J., Mallinson, D.J., Buzas, M.A., and Dowsett, H.J., 2021, Microfossils from Calvert Cliffs give us clues to the future warmer climate: Ecphora Newsletter, v. 36, no. 3, p. 2-4.","productDescription":"3 p.","startPage":"2","endPage":"4","ipdsId":"IP-131916","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":392305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":392233,"type":{"id":15,"text":"Index Page"},"url":"https://calvertmarinemuseum.com/204/The-Ecphora-Newsletter"}],"country":"United States","state":"Maryland","otherGeospatial":"Calvert Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.38381958007812,\n 38.38849520353919\n ],\n [\n -76.50054931640625,\n 38.51110185192187\n ],\n [\n -76.52664184570312,\n 38.48369476951686\n ],\n [\n -76.43394470214844,\n 38.40194908237822\n ],\n [\n -76.40304565429688,\n 38.382574703770246\n ],\n [\n -76.38381958007812,\n 38.38849520353919\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, Seth R","contributorId":261662,"corporation":false,"usgs":false,"family":"Sutton","given":"Seth R","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":827486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":269557,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":827487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":827488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":827489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buzas, Martin A","contributorId":261663,"corporation":false,"usgs":false,"family":"Buzas","given":"Martin","email":"","middleInitial":"A","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":827490,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":269579,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":827491,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70224576,"text":"70224576 - 2021 - Breeding waterbird populations have declined in south San Francisco Bay: An assessment over two decades","interactions":[],"lastModifiedDate":"2021-09-29T13:25:22.066754","indexId":"70224576","displayToPublicDate":"2021-09-01T08:17:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Breeding waterbird populations have declined in south San Francisco Bay: An assessment over two decades","docAbstract":"In south San Francisco Bay, former salt ponds now managed as wildlife habitat support large populations of breeding waterbirds. In 2006, the South Bay Salt Pond Restoration Project began the process of converting 50% to 90% of these managed pond habitats into tidal marsh. We compared American Avocet (Recurvirostra americana) and Black-necked Stilt (Himantopus mexicanus) abundance in south San Francisco Bay before (2001) and after approximately 1,300 ha of managed ponds were breached to tidal action to begin tidal marsh restoration (2019). Over the 18-year period, American Avocet abundance declined 13.5% (2,765 in 2001 vs. 2,391 in 2019), and Black-necked Stilt abundance declined 30.0% (1,184 in 2001 vs. 828 in 2019). Forster’s Tern (Sterna forsteri) abundance was 2,675 birds in 2019. In 2019, managed ponds accounted for only 25.8% of suitable habitats, yet contained 53.9%, 38.6%, and 65.6% American Avocet, Black-necked Stilt, and Forster’s Tern observations, respectively. Conversely, tidal marsh and tidal mudflats accounted for 42.9% of suitable habitats, yet contained only 18.4%, 10.3%, and 19.8% of American Avocet, Black-necked Stilt, and Forster’s Tern observations, respectively. Using a separate nest-monitoring data set, we found that nest abundance in south San Francisco Bay declined for all three species from 2005–2019. Average annual nest abundance during 2017–2019 declined 53%, 71%, and 36%, for American Avocets, Back-necked Stilts, and Forster’s Terns, respectively, compared to 2005–2007. Loss of island nesting habitat as a result of tidal marsh conversion and an increasing population of predatory California Gulls (Larus californicus) are two potential causes of these declines. All three species established nesting colonies on newly constructed islands within remaining managed ponds; however, these new colonies did not make up for the steep declines observed at other historical nesting sites. For future wetland restoration, retaining more managed ponds that contain islands suitable for nesting may help to limit further declines in breeding waterbird populations.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2021v19iss3art4","usgsCitation":"Hartman, C.A., Ackerman, J.T., Schacter, C.R., Herzog, M.P., Tarjan, M., Wang, Y., Strong, C., Tertes, R., and Warnock, N., 2021, Breeding waterbird populations have declined in south San Francisco Bay: An assessment over two decades: San Francisco Estuary and Watershed Science, v. 19, no. 3, 4, 28 p., https://doi.org/10.15447/sfews.2021v19iss3art4.","productDescription":"4, 28 p.","ipdsId":"IP-120016","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450993,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss3art4","text":"Publisher Index Page"},{"id":436216,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94RYHZL","text":"USGS data release","linkHelpText":"Breeding Waterbird Populations in South San Francisco Bay 2005-2019"},{"id":389947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"south San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.12745666503905,\n 37.63380988687157\n ],\n [\n -122.23045349121094,\n 37.59954417809496\n ],\n [\n -122.28263854980467,\n 37.567984011320256\n ],\n [\n -122.33207702636717,\n 37.53042087175374\n ],\n [\n -122.13569641113281,\n 37.38707192644979\n ],\n [\n -121.981201171875,\n 37.35924242260126\n ],\n [\n -121.87202453613281,\n 37.388708634542056\n ],\n [\n -121.88713073730469,\n 37.46777358281261\n ],\n [\n -121.99905395507812,\n 37.61042389163107\n ],\n [\n -122.08419799804689,\n 37.65120864327176\n ],\n [\n -122.12745666503905,\n 37.63380988687157\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schacter, Carley Rose 0000-0001-5493-2768","orcid":"https://orcid.org/0000-0001-5493-2768","contributorId":266023,"corporation":false,"usgs":true,"family":"Schacter","given":"Carley","email":"","middleInitial":"Rose","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tarjan, Max","contributorId":266024,"corporation":false,"usgs":false,"family":"Tarjan","given":"Max","affiliations":[{"id":54860,"text":"San Francisco Bay Bird Observatory Milpitas, CA 95035 USA","active":true,"usgs":false}],"preferred":false,"id":824136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Yiwei","contributorId":203687,"corporation":false,"usgs":false,"family":"Wang","given":"Yiwei","email":"","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":824137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strong, Cheryl","contributorId":149428,"corporation":false,"usgs":false,"family":"Strong","given":"Cheryl","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":824138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tertes, Rachel","contributorId":266025,"corporation":false,"usgs":false,"family":"Tertes","given":"Rachel","email":"","affiliations":[{"id":54861,"text":"US Fish and Wildlife Service Don Edwards San Francisco Bay National Wildlife Refuge Fremont, CA 94536 USA","active":true,"usgs":false}],"preferred":false,"id":824139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warnock, Nils","contributorId":64534,"corporation":false,"usgs":false,"family":"Warnock","given":"Nils","email":"","affiliations":[],"preferred":false,"id":824140,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223700,"text":"70223700 - 2021 - Critical aquifer overdraft accelerates degradation of groundwater quality in California’s Central Valley during drought","interactions":[],"lastModifiedDate":"2021-09-14T17:00:43.326833","indexId":"70223700","displayToPublicDate":"2021-09-01T08:01:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Critical aquifer overdraft accelerates degradation of groundwater quality in California’s Central Valley during drought","docAbstract":"Drought-induced pumpage has precipitated dramatic groundwater-level declines in California’s Central Valley over the past 30 years, but the impacts of aquifer overdraft on water quality are poorly understood. This study coupled over 160,000 measurements of nitrate from ∼6,000 public-supply wells with a 30-year reconstruction of groundwater levels throughout the Central Valley to evaluate dynamic relations between aquifer exploitation and resource quality. We find that long-term rates of groundwater-level decline and water-quality degradation in critically overdrafted basins accelerate by respective factors of 2–3 and 3–5 during drought, followed by brief reversals during wetter periods. Episodic water-quality degradation can occur during drought where increased pumpage draws shallow, contaminated groundwater down to depth zones tapped by long-screened production wells. These data show, for the first time, a direct linkage between climate-mediated aquifer pumpage and groundwater quality on a regional scale.
Methane released from seafloor seeps contributes to a number of benthic, water column, and atmospheric processes. At seafloor seeps within the methane hydrate stability zone, crystalline gas hydrate shells can form on methane bubbles while the bubbles are still in contact with the seafloor or as the bubbles begin ascending through the water column. These shells reduce methane dissolution rates, allowing hydrate-coated bubbles to deliver methane to shallower depths in the water column than hydrate-free bubbles. Here, we analyze seafloor videos from six deepwater seep sites associated with a diverse range of bubble-release processes involving hydrate formation. Bubbles that grow rapidly are often hydrate-free when released from the seafloor. As bubble growth slows and seafloor residence time increases, a hydrate coating can form on the bubble's gas-water interface, fully coating most bubbles within ∼10 s of the onset of hydrate formation at the seafloor. This finding agrees with water-column observations that most bubbles become hydrate-coated after their initial ∼150 cm of rise, which takes about 10 s. Whether a bubble is coated or not at the seafloor affects how much methane a bubble contains and how quickly that methane dissolves during the bubble's rise through the water column. A simplified model shows that, after rising 150 cm above the seafloor, a bubble that grew a hydrate shell before releasing from the seafloor will have ∼5% more methane than a bubble of initial equal volume that did not grow a hydrate shell after it traveled to the same height.