The Big River is a tributary to the Meramec River in south-central Missouri. It drains an area that has been historically one of the largest lead producers in the world, and associated mine wastes have contaminated sediments in much of the river corridor. This study investigated hydraulic conditions in four study reaches to evaluate the potential contribution of physical habitat dynamics to mechanical and physiological stress on native mussel populations. We quantified hydraulic conditions and relative bed stability in previously identified and delineated mussel habitats (MHs) and in the surrounding reaches to refine understanding of the reach-scale (about 1 kilometer) hydraulic characteristics that affect the distribution of mussel aggregations in the river. Two-dimensional hydrodynamic models were compiled for discharge scenarios from base flow (90-percent flow exceedance) to the approximate bankfull discharge (2-year mean return interval peak flow) for the reaches. Discharge, velocity, and water-surface elevation data were collected at all four study reaches at various discharges to calibrate the models across a range of discharges. Shields values to predict incipient motion of the substrate were computed for the MHs and surrounding reaches using bed-surface sediment data collected during this study and previous studies.
The distributions of hydraulic values at the range of simulated discharge scenarios were significantly different among the MHs. Depth values in the MHs ranged from 0.03 to 5.7 meters, with parts remaining dry at some lower flow scenarios (for example, 90- and 50-percent flow exceedance). MH velocities and bed shear stresses (shear stresses) reached 3.1 meters per second and 31 newtons per square meter, respectively. Through the range of simulated discharges, velocity and shear stress within the MHs were limited by reach-scale hydraulic behavior.
Our calculations predicted sand mobility within at least 50 percent of the wetted area of all four MHs for discharges from the 50-percent exceedance flow to the approximate bankfull discharge, whereas 50th-percentile (median) particle size fraction mobility was only predicted within a small area of one of the MHs at the 2-year peak discharge. These results indicate that finer size fractions are mobile within the four MHs, but the larger framework grains of the substrate are predominantly stable at the most frequent discharges.
Our results indicate that suitable mussel habitat on the Big River cannot be identified within a narrow range of velocities, depths, and shear stresses. However, the consistent patterns of sediment mobility and the slow increase of hydraulic forces with increasing discharge within all the MHs indicate that flushing flows at low discharges and coarse sediment stability at higher discharges are important for habitat suitability in the Big River. These patterns of sediment mobility are comparable among the robust and depauperate MHs, indicating that the depauperate beds are likely not impaired by bed instability or siltation. Coarse sediment stability up to bankfull discharges further indicates that bed instability is not widespread in these modeled reaches and is likely not related to the spatial distribution of mussels in these locations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225002","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Roberts, M.O., Jacobson, R.B., and Erwin, S.O., 2022, Hydraulics of freshwater mussel habitat in select reaches of the Big River, Missouri: U.S. Geological Survey Scientific Investigations Report 2022–5002, 49 p., https://doi.org/10.3133/sir20225002.","productDescription":"Report: viii, 49 p.; Data Release; Dataset","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-122009","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":399196,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":399195,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K3ENAX","text":"USGS data release","linkHelpText":"Hydraulic measurements from select reaches of the Big River, Missouri"},{"id":399194,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5002/images"},{"id":399193,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5002/sir20225002.XML"},{"id":399192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5002/sir20225002.pdf","text":"Report","size":"12.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5002"},{"id":399688,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5002"},{"id":399191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5002/coverthb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.25244140624999,\n 37.63163475580645\n ],\n [\n -90.32958984375,\n 37.63163475580645\n ],\n [\n -90.32958984375,\n 38.53097889440026\n ],\n [\n -91.25244140624999,\n 38.53097889440026\n ],\n [\n -91.25244140624999,\n 37.63163475580645\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
The North Brawley Geothermal Field, located within the Brawley Seismic Zone of Southern California, presents a case study for understanding seismic hazards linked to fluid injection and geothermal energy extraction. An earthquake swarm near the geothermal field in 2012 included two earthquakes with magnitudes greater than 5 and was potentially preceded by a years-long aseismic slip transient. To better understand ground deformation around the geothermal field, including its evolution with time and its physical mechanisms, we analyze deformation before, during, and after the swarm using ground- and satellite-based geodetic techniques between 2009 and 2019. We integrate observations from GNSS, Sentinel-1, TerraSAR-X, UAVSAR, and leveling surveys into a single deformation history. Modeling of this new collection of observations at the North Brawley Geothermal Field provides evidence for 80% more pre-swarm aseismic slip than previously recognized from 2009 to 2012. During the 2012 Brawley swarm, our geodetic slip inversions closely match the results of seismic waveform inversions from the swarm events. After the 2012 swarm, surface deformation is dominated by poroelastic deformation of a shallow fluid reservoir at <1 km depth rather than fault slip. The deformation history and seismicity catalogs at North Brawley suggest a cessation of fault-related slip during the ∼7 years after the 2012 earthquake swarm.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB023335","usgsCitation":"Materna, K.Z., Barbour, A.J., Jiang, J., and Eneva, M., 2022, Detection of aseismic slip and poroelastic reservoir deformation at the North Brawley Geothermal Field from 2009 to 2019: Journal of Geophysical Research Solid Earth, v. 127, no. 5, e2021JB023335, 19 p., https://doi.org/10.1029/2021JB023335.","productDescription":"e2021JB023335, 19 p.","ipdsId":"IP-125755","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"North Brawley Geothermal Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.875,\n 32.875\n ],\n [\n -115.25,\n 32.875\n ],\n [\n -115.25,\n 33.25\n ],\n [\n -115.875,\n 33.25\n ],\n [\n -115.875,\n 32.875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Materna, Kathryn Zerbe 0000-0002-6687-980X","orcid":"https://orcid.org/0000-0002-6687-980X","contributorId":261337,"corporation":false,"usgs":true,"family":"Materna","given":"Kathryn","email":"","middleInitial":"Zerbe","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, Junle","contributorId":206383,"corporation":false,"usgs":false,"family":"Jiang","given":"Junle","email":"","affiliations":[{"id":16619,"text":"UCSD","active":true,"usgs":false}],"preferred":false,"id":851920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eneva, Mariana","contributorId":167022,"corporation":false,"usgs":false,"family":"Eneva","given":"Mariana","email":"","affiliations":[{"id":24596,"text":"Imageair Inc.","active":true,"usgs":false}],"preferred":false,"id":851921,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230856,"text":"70230856 - 2022 - Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series","interactions":[],"lastModifiedDate":"2022-04-27T11:42:39.21789","indexId":"70230856","displayToPublicDate":"2022-04-26T06:39:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series","docAbstract":"Coastal tidal wetlands are highly altered ecosystems exposed to substantial risk due to widespread and frequent land-use change coupled with sea-level rise, leading to disrupted hydrologic and ecologic functions and ultimately, significant reduction in climate resiliency. Knowing where and when the changes have occurred, and the nature of those changes, is important for coastal communities and natural resource management. Large-scale mapping of coastal tidal wetland changes is extremely difficult due to their inherent dynamic nature. To bridge this gap, we developed an automated algorithm for DEtection and Characterization of cOastal tiDal wEtlands change (DECODE) using dense Landsat time series. DECODE consists of three elements, including spectral break detection, land cover classification and change characterization. DECODE assembles all available Landsat observations and introduces a water level regressor for each pixel to flag the spectral breaks and estimate harmonic time-series models for the divided temporal segments. Each temporal segment is classified (e.g., vegetated wetlands, open water, and others – including unvegetated areas and uplands) based on the phenological characteristics and the synthetic surface reflectance values calculated from the harmonic model coefficients, as well as a generic rule-based classification system. This harmonic model-based approach has the advantage of not needing the acquisition of satellite images at optimal conditions (i.e., low tide status) to avoid underestimating coastal vegetation caused by the tidal fluctuation. At the same time, DECODE can also characterize different kinds of changes including land cover change and condition change (i.e., land cover modification without conversion). We used DECODE to track status of coastal tidal wetlands in the northeastern United States from 1986 to 2020. The overall accuracy of land cover classification and change detection is approximately 95.8% and 99.8%, respectively. The vegetated wetlands and open water were mapped with user's accuracy of 94.6% and 99.0%, and producer's accuracy of 98.1% and 93.5%, respectively. The cover change and condition change were mapped with user's accuracy of 68.0% and 80.0%, and producer's accuracy of 80.5% and 97.1%, respectively. Approximately 3283 km2 of the coastal landscape within our study area in the northeastern United States changed at least once (12% of the study area), and condition changes were the dominant change type (84.3%). Vegetated coastal tidal wetland decreased consistently (~2.6 km2 per year) in the past 35 years, largely due to conversion to open water in the context of sea-level rise.
The Okaloosa darter (Etheostoma okaloosae) is a diminutive, perch-like, benthic fish that inhabits only six small, clear, and shallow creek systems that flow almost entirely within Eglin Air Force Base in the panhandle of northwest Florida. Listed as Endangered by the U.S. Fish and Wildlife Service (USFWS) in 1973, improvements in erosion control and habitat restoration led to the Okaloosa darter being downlisted from Endangered to Threatened in 2011. However, the long-term management of the species is hampered by the lack of knowledge of the spatial extent of the recharge areas that ultimately support creek flow through groundwater discharge. To address this lack of data, we collected groundwater samples from the sand and gravel aquifer beneath 11 headwater and 11 downgradient sites across six creek basins during February and December 2020. The groundwater samples were collected from 1 to 1.2 m beneath the creek bottom. Concentrations of sulfur hexafluoride (SF6) were analyzed and used to calculate groundwater age (residence time), and indicated that at the 11 headwater sites, recharge occurred between 11 and 28 years ago. Groundwater ages in downgradient parts of the same creeks indicated that recharge occurred between 5 and 25 years ago. When combined with representative values of hydraulic conductivity for the sand and gravel aquifer, the ages reveal that the extent of the maximum recharge distance from the sampling sites ranged from about 222 to 2011 m from the creeks. This new information can be used by natural resource managers as additional evidence to support the USFWS Recovery Plan and proposed delisting of the Okaloosa darter from the Endangered Species List. Moreover, these results may also be useful to fisheries biologists to incorporate groundwater inputs to facilitate fisheries management.
","language":"English","publisher":"MDPI","doi":"10.3390/hydrology9050069","usgsCitation":"Landmeyer, J.E., McBride, W.S., and Tate, W., 2022, Determination of recharge areas that supply decades old groundwater to creeks inhabited by the threatened Okaloosa darter: Hydrology, v. 9, no. 5, 69, 24 p., https://doi.org/10.3390/hydrology9050069.","productDescription":"69, 24 p.","ipdsId":"IP-137426","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":448016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology9050069","text":"Publisher Index Page"},{"id":401642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Elgin Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.59561157226562,\n 30.484183951487754\n ],\n [\n -86.23443603515625,\n 30.484183951487754\n ],\n [\n -86.23443603515625,\n 30.681620845933267\n ],\n [\n -86.59561157226562,\n 30.681620845933267\n ],\n [\n -86.59561157226562,\n 30.484183951487754\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":216137,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":844065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, W. Scott 0000-0003-1828-2838","orcid":"https://orcid.org/0000-0003-1828-2838","contributorId":201573,"corporation":false,"usgs":true,"family":"McBride","given":"W.","email":"","middleInitial":"Scott","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":844083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, William B.","contributorId":55538,"corporation":false,"usgs":true,"family":"Tate","given":"William B.","affiliations":[],"preferred":false,"id":844084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230801,"text":"70230801 - 2022 - Rock-to-metal ratio: A foundational metric for understanding mine wastes","interactions":[],"lastModifiedDate":"2022-06-01T15:22:04.367002","indexId":"70230801","displayToPublicDate":"2022-04-25T09:50:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Rock-to-metal ratio: A foundational metric for understanding mine wastes","docAbstract":"The quantity of ore mined and waste rock (i.e., overburden or barren rock) removed to produce a refined unit of a mineral commodity, its rock-to-metal ratio (RMR), is an important metric for understanding mine wastes and environmental burdens. In this analysis, we provide a comprehensive examination of RMRs for 25 commodities for 2018. The results indicate significant variability across commodities. Precious metals like gold have RMRs in the range of 105–106, while iron ore and aluminum are on the order of 101. The results also indicate significant variability across operations for a single commodity. The interquartile range of RMRs for individual cobalt operations, for example, varies from 465 to 2157, with a global RMR of 859. RMR variability is mainly driven by ore grades and revenue contribution. The total attributable ore mined and waste rock removed in the production of these 25 commodities sums to 37.6 billion metric tons, 83% of which is attributable to iron ore, copper, and gold. RMRs provide an additional dimension for evaluating the impact of materials and material choice trade-offs. The results can enhance life cycle inventories and be extended to evaluate areas of surface disturbances, mine tailings, energy requirements, and associated greenhouse gas emissions.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.1c07875","usgsCitation":"Nassar, N.T., Lederer, G.W., Brainard, J.L., Padilla, A.J., and Lessard, J.D., 2022, Rock-to-metal ratio: A foundational metric for understanding mine wastes: Environmental Science & Technology, v. 56, no. 10, p. 6710-6721, https://doi.org/10.1021/acs.est.1c07875.","productDescription":"12 p.","startPage":"6710","endPage":"6721","ipdsId":"IP-133695","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":448020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.1c07875","text":"Publisher Index Page"},{"id":399668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":841379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lessard, Joseph D.","contributorId":290609,"corporation":false,"usgs":false,"family":"Lessard","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":62455,"text":"Apple Inc","active":true,"usgs":false}],"preferred":false,"id":841380,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230832,"text":"70230832 - 2022 - Prairie wetlands as sources or sinks of nitrous oxide: Effects of land use and hydrology","interactions":[],"lastModifiedDate":"2022-04-26T14:13:49.664763","indexId":"70230832","displayToPublicDate":"2022-04-25T09:08:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Prairie wetlands as sources or sinks of nitrous oxide: Effects of land use and hydrology","docAbstract":"National and global greenhouse gas (GHG) budgets are continually being refined as data become available. Primary sources of the potent GHG nitrous oxide (N2O) include agricultural soil management and burning of fossil fuels, but comprehensive N2O budgets also incorporate less prominent factors such as wetlands. Freshwater wetland GHG flux estimates, however, have high uncertainty, and wetlands have been identified as both sources and sinks. Here, we analyzed a regional database of >26,000 N2O chamber flux measurements sampled across >150 wetlands from the Prairie Pothole Region (PPR) in the Great Plains of North America. Our goal was to identify important land use and hydrologic drivers of N2O flux to help reduce uncertainty in N2O models, and to incorporate these drivers into an upscaled estimate of wetland N2O emissions from the U.S. portion of the PPR. Within individual wetlands, exposed soils with no standing water, such as along wetland edges, were hotspots that accounted for greater than 90% of wetland N2O emissions. In contrast wet (i.e., ponded) areas had minimal or negative N2O flux. N2O flux from wetlands nested within croplands (16.3–17.3 μg N2O m−2 hr−1) was, in some instances, nearly double that from wetlands within grasslands (9.2–14.4 μg N2O m−2 h−1). We estimated that seasonal N2O flux from PPR wetlands equated to roughly 0.2% (1.04 Tg CO2 equivalents) of the U.S. N2O budget (c. 2019). Overall, even though PPR wetlands are a small net source of N2O to the atmosphere, their emissions are negligible relative to agricultural soil management. Policy and management to restore wetland hydrology and surrounding uplands from cropland to grasslands can reduce landscape N2O fluxes. Future activities focused on wetland N2O flux would benefit from inclusion of adjacent land use and hydrologic factors, as well as from incorporation of temporally dynamic ponded wetland areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2022.108968","usgsCitation":"Tangen, B., and Bansal, S., 2022, Prairie wetlands as sources or sinks of nitrous oxide: Effects of land use and hydrology: Agricultural and Forest Meteorology, v. 320, 108968, 10 p., https://doi.org/10.1016/j.agrformet.2022.108968.","productDescription":"108968, 10 p.","ipdsId":"IP-134939","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":399665,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Montana, North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.9296875,\n 48.86471476180277\n ],\n [\n -101.162109375,\n 47.57652571374621\n ],\n [\n -100.283203125,\n 45.706179285330855\n ],\n [\n -100.72265625,\n 44.653024159812\n ],\n [\n -99.755859375,\n 43.83452678223682\n ],\n [\n -97.119140625,\n 43.068887774169625\n ],\n [\n -96.767578125,\n 43.96119063892024\n ],\n [\n -95.625,\n 43.32517767999296\n ],\n [\n -94.306640625,\n 41.77131167976407\n ],\n [\n -92.724609375,\n 42.293564192170095\n ],\n [\n -93.07617187499999,\n 44.213709909702054\n ],\n [\n -97.20703125,\n 48.22467264956519\n ],\n [\n -98.7890625,\n 48.980216985374994\n ],\n [\n -107.9296875,\n 48.86471476180277\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"320","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":841431,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236256,"text":"70236256 - 2022 - Assessing placement bias of the global river gauge network","interactions":[],"lastModifiedDate":"2022-08-31T13:33:17.808542","indexId":"70236256","displayToPublicDate":"2022-04-25T08:20:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5791,"text":"Nature Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Assessing placement bias of the global river gauge network","docAbstract":"Knowing where and when rivers flow is paramount to managing freshwater ecosystems. Yet stream gauging stations are distributed sparsely across rivers globally and may not capture the diversity of fluvial network properties and anthropogenic influences. Here we evaluate the placement bias of a global stream gauge dataset on its representation of socioecological, hydrologic, climatic and physiographic diversity of rivers. We find that gauges are located disproportionally in large, perennial rivers draining more human-occupied watersheds. Gauges are sparsely distributed in protected areas and rivers characterized by non-perennial flow regimes, both of which are critical to freshwater conservation and water security concerns. Disparities between the geography of the global gauging network and the broad diversity of streams and rivers weakens our ability to understand critical hydrologic processes and make informed water-management and policy decisions. Our findings underscore the need to address current gauge placement biases by investing in and prioritizing the installation of new gauging stations, embracing alternative water-monitoring strategies, advancing innovation in hydrologic modelling, and increasing accessibility of local and regional gauging data to support human responses to water challenges, both today and in the future.
","language":"English","publisher":"Nature Publications","doi":"10.1038/s41893-022-00873-0","usgsCitation":"Krabbenhoft, C., Allen, G.H., Lin, P., Godsey, S., Allen, D., Burrows, R., DelVecchia, A., Fritz, K.M., Shanafield, M., Burgin, A.J., Zimmer, M., Datry, T., Dodds, W., Jones, C., Mimms, M., Franklin, C., Hammond, J., Zipper, S., Ward, A.S., Costigan, K., Beck, H., and Olden, J., 2022, Assessing placement bias of the global river gauge network: Nature Sustainability, v. 5, p. 586-592, https://doi.org/10.1038/s41893-022-00873-0.","productDescription":"7 p.","startPage":"586","endPage":"592","ipdsId":"IP-130183","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":448023,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41893-022-00873-0","text":"External 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Geography, Texas A&M University, College Station, TX, 77843","active":true,"usgs":false}],"preferred":false,"id":850340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Peirong","contributorId":295975,"corporation":false,"usgs":false,"family":"Lin","given":"Peirong","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":850342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":850343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":850351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burrows, Ryan","contributorId":295995,"corporation":false,"usgs":false,"family":"Burrows","given":"Ryan","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":850357,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DelVecchia, Amanda 0000-0003-4252-5991","orcid":"https://orcid.org/0000-0003-4252-5991","contributorId":225165,"corporation":false,"usgs":false,"family":"DelVecchia","given":"Amanda","email":"","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":850361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":850345,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shanafield, Margaret","contributorId":106772,"corporation":false,"usgs":true,"family":"Shanafield","given":"Margaret","affiliations":[],"preferred":false,"id":850344,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burgin, Amy J. 0000-0001-8489-4002","orcid":"https://orcid.org/0000-0001-8489-4002","contributorId":296009,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":850356,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zimmer, Margaret","contributorId":295996,"corporation":false,"usgs":false,"family":"Zimmer","given":"Margaret","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":850358,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":850354,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dodds, Walter K.","contributorId":19419,"corporation":false,"usgs":true,"family":"Dodds","given":"Walter K.","affiliations":[],"preferred":false,"id":850347,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jones, C. Nathan","contributorId":295982,"corporation":false,"usgs":false,"family":"Jones","given":"C. Nathan","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":850346,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mimms, Meryl","contributorId":295998,"corporation":false,"usgs":false,"family":"Mimms","given":"Meryl","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":850360,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Franklin, Catherin","contributorId":295985,"corporation":false,"usgs":false,"family":"Franklin","given":"Catherin","email":"","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":850348,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":850353,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":850350,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":850352,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Costigan, Katie H.","contributorId":166700,"corporation":false,"usgs":false,"family":"Costigan","given":"Katie H.","affiliations":[],"preferred":false,"id":850359,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Beck, Hylke","contributorId":295993,"corporation":false,"usgs":false,"family":"Beck","given":"Hylke","affiliations":[{"id":37958,"text":"University of Amsterdam","active":true,"usgs":false}],"preferred":false,"id":850355,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":850341,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70230940,"text":"70230940 - 2022 - Plant community context controls short- vs. medium-term effects of pre-emergent herbicides on target and non-target species after fire","interactions":[],"lastModifiedDate":"2022-06-01T15:26:15.677087","indexId":"70230940","displayToPublicDate":"2022-04-25T07:19:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant community context controls short- vs. medium-term effects of pre-emergent herbicides on target and non-target species after fire","docAbstract":"Questions: Selective herbicide application is a common restoration strategy to control exotic invaders that interfere with native plant recovery after wildfire. Whether spraying with preemergent or bioherbicides releases native plants from competition with exotics (“spray-and-release” strategy) and can make communities resistant to re-invasion by exotic annual grasses (e.g., cheatgrass, medusahead), without risks to non-target native plants or secondary invasion, is a major question for land managers of semiarid plant communities.
Location: Sagebrush steppe of southwest Idaho, USA
We applied chemical herbicides (imazapic, rimsulfuron) and weed-suppressive bacteria (Pseudomonas fluorescens strains MB906 and D7) to three sagebrush-steppe communities after fire.We measured plant cover prior to burning and for four years (five for exotic annual grasses) post-treatment.
Both chemical herbicides significantly reduced exotic annual grass cover in all communities in the first post-spraying year, but rimsulfuron plots were re-invaded after 1-2 years, while imazapic plots continued to resist re-invasion 4 and even 5 years post-spraying, well after the herbicide should have degraded. We did not detect any increase in native perennial grass cover with either herbicide, and herbicides had both positive and negative effects on individual bunchgrass basal diameter, depending on species and plant community. Rimsulfuron was more damaging than imazapic to shallow-rooted perennial bunchgrasses. Moss and lichen cover, key components of soil integrity, increased with chemical herbicide treatments in some communities. Both herbicides increased secondary invaders (exotic forbs or grasses), which varied by plant community and herbicide. Weed-suppressive bacteria treatments had no significant effects on cover of any functional group.
While short-term effects of chemical herbicides that target exotic annual grasses were relatively consistent and predictable, longer-term effects were specific to the herbicide and plant community. The “spray and release” strategy may confer resistance to re-invasion by exotic annual grasses if herbicides prevent re-invasion for an extended period.
","language":"English","publisher":"Wiley","doi":"10.1111/avsc.12662","usgsCitation":"Lazarus, B., and Germino, M., 2022, Plant community context controls short- vs. medium-term effects of pre-emergent herbicides on target and non-target species after fire: Applied Vegetation Science, v. 25, no. 2, e12662, 17 p., https://doi.org/10.1111/avsc.12662.","productDescription":"e12662, 17 p.","ipdsId":"IP-131185","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":435866,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97IZJXL","text":"USGS data release","linkHelpText":"Pre and post treatment (2016-2021) vegetation cover for three southwest Idaho sites treated with pre-emergent herbicides after fire"},{"id":399887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.01263427734374,\n 43.177141346631714\n ],\n [\n -115.84533691406249,\n 43.177141346631714\n ],\n [\n -115.84533691406249,\n 43.79488907226601\n ],\n [\n -117.01263427734374,\n 43.79488907226601\n ],\n [\n -117.01263427734374,\n 43.177141346631714\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":841684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":841685,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230744,"text":"fs20223021 - 2022 - Washington and Landsat","interactions":[],"lastModifiedDate":"2023-01-24T16:57:48.188297","indexId":"fs20223021","displayToPublicDate":"2022-04-25T06:53:27","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3021","displayTitle":"Washington and Landsat","title":"Washington and Landsat","docAbstract":"Washington is a State of untamed wonders, from its ruggedly beautiful coastline to the volcanic peaks of the Cascades. “The Evergreen State” is also a State of contrasts, home to rainforests west of the Cascades and deserts to the east. Half of Washington is forested, and its orchards grow more than one-half of the apples sold in the United States. Rivers are important to the State, particularly the Columbia River, the largest North American river that flows into the Pacific Ocean. Dozens of dams have been constructed in the river basin, including the largest hydroelectric producer in the Nation, the Grand Coulee Dam.
Washington’s diverse landscapes also change in various ways over time. Some are relatively steady, like urban expansion in the populous Puget Sound region. Others can be sudden, like the Mount Saint Helens eruption in 1980—one of the largest volcanic eruptions that caused the largest landslide in U.S. history. Although landscape change may be hard to detect at any one time, the Landsat program provides an objective view of it over decades. Landsat not only allows one to see what Mount Saint Helens looked like before and after the eruption, but also how the area has evolved since.
Here are a few examples of how Landsat benefits Washington.
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\"}}]}","edition":"Version 1.0: April 25, 2022; Version 1.1: January 24, 2023","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
In the context of increasing evidence of plate interface coupling variability in subduction zones, there is a need to extend the short time window given by instrumental data and to gather data over multiple time and spatial scales. We hence investigated the long-term topography on Barbuda island, located in the northern part of the Lesser Antilles, west of the Caribbean subduction zone. Following pioneering work using a set of marine terraces on the eastern side of the island, we performed the first U-Th dating on 10 corals in growth position from the lowest terrace, for which the highest relative sea-level (RSL) indicator is found at 9 ± 1 m above the mean sea level. We find that this terrace corresponds to the Last Interglacial (LIG) (ages between 122.8 ± 0.3 ka and 128.1 ± 0.3 ka) and we estimate a paleo RSL of 7 ± 2 m above the current mean sea level. The present elevation of the LIG shoreline on Barbuda might imply tectonics as an additional mechanism to eustatic sea level, mantle dynamic topography and glacial isostatic adjustment. East-west morphological asymmetry of Barbuda and difference in LIG shoreline elevation between Barbuda and Antigua suggest a regional tectonic process. As with the proposed westward tilting from the forearc to the volcanic arc of the Guadeloupe archipelago, vertical deformation on Barbuda could be related to plate-scale subduction processes. Long-term uplift of Barbuda might be related to the accumulation of residual coseismic deformation not fully recovered by interseismic subsidence and the corresponding seismogenic segment would extend below the Moho.
Lack of tree fecundity data across climatic gradients precludes the analysis of how seed supply contributes to global variation in forest regeneration and biotic interactions responsible for biodiversity. A global synthesis of raw seedproduction data shows a 250-fold increase in seed abundance from cold-dry to warm-wet climates, driven primarily by a 100-fold increase in seed production for a given tree size. The modest (threefold) increase in forest productivity across the same climate gradient cannot explain the magnitudes of these trends. The increase in seeds per tree can arise from adaptive evolution driven by intense species interactions or from the direct effects of a warm, moist climate on tree fecundity. Either way, the massive differences in seed supply ramify through food webs potentially explaining a disproportionate role for species interactions in the wet tropics.
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However, accurately sampling drift across a wide range of invertebrate sizes is difficult because small invertebrates slip through coarse-mesh drift nets, and fine mesh clogs more easily, which reduces filtration efficiency and measurement accuracy. To avoid this limiting tradeoff, we developed a gas-powered drift pump which pours 20 m3/hour of river water through nested 80- and 750-m nets suspended in the air, and we tested it against a conventional 250-m drift net during low and high flows in a clearwater Alaskan river. The drift pump detected a geometric mean drift concentration of 467 invertebrates m-3 and maximum of 5637 m-3, eleven times the mean concentration of 42 m-3 from the drift net. Invertebrates 3 mm length, primarily chironomids, comprised the entire difference. Studies in which the drift of 0.5 – 3 mm invertebrates might be relevant, such as foraging models investigating the growth of juvenile drift-feeding fishes, should consider using similar methods to quantify small invertebrate drift, lest they underestimate it by an order of magnitude.","language":"English","publisher":"Springer","doi":"10.1007/s10750-022-04849-1","usgsCitation":"Neuswanger, J., Schoen, E.R., Wipfli, M.S., Volk, C.J., and Savereide, J.W., 2022, A suction pump sampler for invertebrate drift detects exceptionally high concentrations of small invertebrates that drift nets miss: Hydrobiologia, v. 849, p. 2077-2089, https://doi.org/10.1007/s10750-022-04849-1.","productDescription":"13 p.","startPage":"2077","endPage":"2089","ipdsId":"IP-132981","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River","volume":"849","noUsgsAuthors":false,"publicationDate":"2022-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Neuswanger, Jason R.","contributorId":337745,"corporation":false,"usgs":false,"family":"Neuswanger","given":"Jason R.","affiliations":[{"id":81040,"text":"South Fork Research, Inc","active":true,"usgs":false}],"preferred":false,"id":902649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":902650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Volk, Carol J.","contributorId":337746,"corporation":false,"usgs":false,"family":"Volk","given":"Carol","email":"","middleInitial":"J.","affiliations":[{"id":81040,"text":"South Fork Research, Inc","active":true,"usgs":false}],"preferred":false,"id":902651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Savereide, James W.","contributorId":204591,"corporation":false,"usgs":false,"family":"Savereide","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":902652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232543,"text":"70232543 - 2022 - A framework to integrate innovations in invasion science for proactive management","interactions":[],"lastModifiedDate":"2022-07-06T18:10:52.919742","indexId":"70232543","displayToPublicDate":"2022-04-22T14:10:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A framework to integrate innovations in invasion science for proactive management","docAbstract":"Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches has produced tools with the potential to greatly accelerate invasion research and management, innovation has far outpaced implementation and coordination. Technological and methodological syntheses are urgently needed to close the growing implementation gap and facilitate interdisciplinary collaboration and synergy among evolving disciplines. A broad review is necessary to demonstrate the utility and relevance of work in diverse fields to generate actionable science for the ongoing invasion crisis. Here, we review such advances in relevant fields including remote sensing, epidemiology, big data analytics, environmental DNA (eDNA) sampling, genomics, and others, and present a generalized framework for distilling existing and emerging data into products for proactive IAS research and management. This integrated workflow provides a pathway for scientists and practitioners in diverse disciplines to contribute to applied invasion biology in a coordinated, synergistic, and scalable manner.
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In Louisiana, USA, development of restored reefs, and off-bottom aquaculture would benefit from the identification of locations supportive of sustainable oyster populations (i.e., metapopulations) and high consistent production. This study defines four oyster resource zones across coastal Louisiana based on environmental conditions known to affect oyster survival, growth, and reproduction. Daily data from 2015 to 2019 were interpolated to generate salinity and temperature profiles across Louisiana's estuaries, which were then used to classify zones based on monthly and annual salinity mean and variance. Zones were classified as supportive of (1) broodstock sanctuary reefs (i.e., support reproductive populations), (2) productive reefs during dry (salty) years, (3) productive reefs during wet (fresh) years, and (4) off-bottom aquaculture development. Of the 38,000 km2 investigated, over 11,000 km2 of potential oyster zone area was identified across the Louisiana coast. The Broodstock Sanctuary Zone was the smallest (∼540 km2), as salinity variance limited this zone in many areas, as it is driven largely by riverine inputs across many estuaries. Located up-estuary (Dry Restoration Zone) and down-estuary (Wet Restoration Zone) of the Broodstock Sanctuary Zone, Dry and Wet Restoration Zone areas covered ∼2400 km2 and ∼3900 km2, respectively. Mapped reefs in Louisiana currently exist largely within the Dry Restoration zones, suggesting a potential strategy to focus reef development in Wet Restoration zones to ensure reef network sustainability through years with high precipitation and river inflow. The off-bottom Aquaculture Zone was the largest (∼6400 km2) zone identified, with much of this area located more down-estuary and off-shore. Accounting for variable water quality conditions enables the development of a network of reefs resilient to environmental variability, and more stable areas for consistent off-bottom aquaculture production. Spatial planning and identification of oyster resource zones reduces focus on individual reef success and supports management of oyster metapopulation outcomes, while identifying zones supportive of off-bottom aquaculture.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2022.106178","usgsCitation":"Swam, L.M., Couvillion, B., Callam, B., La Peyre, J., and La Peyre, M., 2022, Defining oyster resource zones across coastal Louisiana for restoration and aquaculture: Ocean and Coastal Management, v. 225, 106178, 11 p., https://doi.org/10.1016/j.ocecoaman.2022.106178.","productDescription":"106178, 11 p.","ipdsId":"IP-134836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499824,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/animalsciences_pubs/2261","text":"External Repository"},{"id":433380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.28531382800476,\n 30.084673161811594\n ],\n [\n -89.8627113518053,\n 30.384080583724042\n ],\n [\n -90.30515265860349,\n 30.512183704575193\n ],\n [\n -90.81872980801528,\n 30.23163703531037\n ],\n [\n -91.21166619938886,\n 30.068757329434987\n ],\n [\n -93.742248457641,\n 30.376322644227812\n ],\n [\n -93.94164092204788,\n 29.613593061579024\n ],\n [\n -92.27979250199853,\n 29.44209715796825\n ],\n [\n -91.10243386209395,\n 29.085644613779976\n ],\n [\n -89.98832868271369,\n 28.980943971169282\n ],\n [\n -88.89450433276538,\n 28.983731357632564\n ],\n [\n -89.28531382800476,\n 30.084673161811594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swam, Lauren M.","contributorId":341585,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":908656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callam, Brian","contributorId":341586,"corporation":false,"usgs":false,"family":"Callam","given":"Brian","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":341587,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232211,"text":"70232211 - 2022 - Golden Eagle (Aquila chysaetos)","interactions":[],"lastModifiedDate":"2022-06-28T16:02:50.008235","indexId":"70232211","displayToPublicDate":"2022-04-22T10:56:50","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","displayTitle":"Golden Eagle (Aquila chysaetos)","title":"Golden Eagle (Aquila chysaetos)","docAbstract":"The golden eagle (Aquila chrysaetos) is commonly recognized as an indicator of ecosystem health and was selected as an important indicator species for the ecological health of lands owned and managed by East Bay Stewardship Network (Network) partner agencies within the area of focus for this project (See map, Chapter 1). Based on national conservation goals and past and current golden eagle research in the area of focus, the desired condition and trend for this indicator species are to: (1) maintain or improve site occupancy by territorial pairs (i.e., the proportion of sites surveyed with at least 1 pair of eagles), (2) maximize reproductive rate (i.e., the proportion of sites surveyed with at least 1 pair of productive eagles), and (3) minimize the occurrence of territorial subadults in the local breeding population. The condition and trend in these three primary metrics were assessed for golden eagles in the area of focus using data from a large-scale demographic study conducted in 2014–2021 by the U.S. Geological Survey (USGS) and others. Overall, we found a condition of “caution” and an “unchanging” trend for golden eagles in the area of focus. Analyses of site occupancy and reproductive rate indicated that the local breeding population was unchanging (i.e., no evidence of increasing or decreasing time trends in these metrics during 2014–2021). However, a consistently high occurrence of territorial subadults (22%–35%) has been observed at breeding territories near the Altamont Pass Wind Resource Area (APWRA) relative to occupied territories monitored in surrounding regions (~3%). The heightened occurrence of territorial subadults suggested a possible increase in the adult mortality rate of territorial eagles occupying the Mt. Diablo Range and Mt. Hamilton subregions in the area of focus. Thus, although no trends were detected in site occupancy or reproductive rate, caution is warranted given the high observed frequency of territorial subadults, which was predominately associated with pairs monitored near the APWRA. The USGS golden eagle study was conducted during a period of prolonged and severe drought in the area of focus, which has been shown elsewhere to reduce the reproductive rate of golden eagles. Although we detected no trends in reproductive rate, we identified a condition of “caution” for this metric in the area of focus given that annual estimates were relatively low during the study period, which primarily included years of severe drought conditions in west-central California. A primary goal of the analysis was to provide a benchmark against which managers can measure future changes and understand the likely trajectory of this species. Baseline data and analyses provided here can be used to identify projects that could help support golden eagle conservation. Given the constraint of using only existing and available data, this evaluation also identified areas where not enough was known to draw meaningful conclusions. Gaps in our understanding include the long-term effects of repeated, extreme climate events (e.g., drought and wildfire) on golden eagle demographics and population sustainability, refined estimates of eagle survivorship and sources of mortality, and whether the APWRA represents a population sink for golden eagles within the northern Diablo Range and surrounding regions. These are described as data gaps at the end of this chapter and may be areas to focus on for future research and collaborations among land managers.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NatureCheck: Understanding wildlife health on East Bay lands in Alameda and Contra Costa Counties","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"East Bay Stewardship Network","usgsCitation":"Wiens, D., Kolar, P., and Bell, D.A., 2022, Golden Eagle (Aquila chysaetos), chap. 8 of NatureCheck: Understanding wildlife health on East Bay lands in Alameda and Contra Costa Counties, p. 211-244.","productDescription":"34 p.","startPage":"211","endPage":"244","ipdsId":"IP-137929","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":402603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402602,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ebparks.org/natural-resources/biodiversity/wildlife"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wiens, David 0000-0002-2020-038X","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":267230,"corporation":false,"usgs":true,"family":"Wiens","given":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":844658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolar, Patrick 0000-0002-0076-7565 pkolar@usgs.gov","orcid":"https://orcid.org/0000-0002-0076-7565","contributorId":189512,"corporation":false,"usgs":true,"family":"Kolar","given":"Patrick","email":"pkolar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Douglas A.","contributorId":292466,"corporation":false,"usgs":false,"family":"Bell","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":24634,"text":"East Bay Regional Park District","active":true,"usgs":false}],"preferred":false,"id":844660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241565,"text":"70241565 - 2022 - A novel herpesvirus detected in 3 different species of chelonians","interactions":[],"lastModifiedDate":"2023-03-23T14:57:45.866739","indexId":"70241565","displayToPublicDate":"2022-04-22T09:52:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"A novel herpesvirus detected in 3 different species of chelonians","docAbstract":"Herpesviruses are found in free-living and captive chelonian populations, often in association with morbidity and mortality. To date, all known chelonian herpesviruses fall within the subfamily Alphaherpesvirinae. We detected a novel herpesvirus in 3 species of chelonians: a captive leopard tortoise (Stigmochelys pardalis) in western TX, USA; a steppe tortoise (Testudo [Agrionemys] horsfieldii) found near Fort Irwin, CA, USA; and 2 free-living, three-toed box turtles (Terrapene mexicana triunguis) found in Forest Park, St. Louis, MO. The leopard tortoise was coinfected with the tortoise intranuclear coccidian and had clinical signs of upper respiratory tract disease. The steppe tortoise had mucopurulent nasal discharge and lethargy. One of the three-toed box turtles had no clinical signs; the other was found dead with signs of trauma after being observed with blepharedema, tympanic membrane swelling, cervical edema, and other clinical signs several weeks prior to death. Generally, the branching order of the turtle herpesviruses mirrors the divergence patterns of their hosts, consistent with codivergence. Based on phylogenetic analysis, this novel herpesvirus clusters with a clade of viruses that infect emydid hosts and is likely of box turtle origin. Therefore, we suggest the name terrapene alphaherpesvirus 3 (TerAHV3) for the novel virus. This virus also has the ability to host-jump to tortoises, and previously documented herpesviral morbidity tends to be more common in aberrant hosts. The relationship between clinical signs and infection with TerAHV3 in these animals is unclear, and further investigation is merited.
","language":"English","publisher":"American Association of Veterinary Laboratory Diagnosticians","doi":"10.1177/10406387221092048","usgsCitation":"Winter, J.M., Wellehan, J., Apakupakul, K., Palmer, J., Brenn-White, M., Standorf, K., Berry, K.H., Childress, A.L., Koplos, P., Garner, M.M., and Deem, S.L., 2022, A novel herpesvirus detected in 3 different species of chelonians: Journal of Veterinary Diagnostic Investigation, v. 34, no. 4, p. 594-601, https://doi.org/10.1177/10406387221092048.","productDescription":"8 p.","startPage":"594","endPage":"601","ipdsId":"IP-133654","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9266504","text":"Publisher Index Page"},{"id":414617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Winter, John M.","contributorId":303355,"corporation":false,"usgs":false,"family":"Winter","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":867331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wellehan, James F. X.","contributorId":303357,"corporation":false,"usgs":false,"family":"Wellehan","given":"James F. X.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":867332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apakupakul, Kathleen","contributorId":303360,"corporation":false,"usgs":false,"family":"Apakupakul","given":"Kathleen","email":"","affiliations":[{"id":65777,"text":"Saint Louis Zoo","active":true,"usgs":false}],"preferred":false,"id":867333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmer, Jamie","contributorId":303362,"corporation":false,"usgs":false,"family":"Palmer","given":"Jamie","email":"","affiliations":[{"id":65777,"text":"Saint Louis Zoo","active":true,"usgs":false}],"preferred":false,"id":867334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenn-White, Maris","contributorId":302101,"corporation":false,"usgs":false,"family":"Brenn-White","given":"Maris","email":"","affiliations":[{"id":65410,"text":"University of California, Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, 1 Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":867335,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Standorf, Kali","contributorId":303363,"corporation":false,"usgs":false,"family":"Standorf","given":"Kali","email":"","affiliations":[{"id":65780,"text":"THRIVE Affordable Vet Care, Jacksonville, FL","active":true,"usgs":false}],"preferred":false,"id":867336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867337,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Childress, April L.","contributorId":220005,"corporation":false,"usgs":false,"family":"Childress","given":"April","email":"","middleInitial":"L.","affiliations":[{"id":40111,"text":"Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":867338,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Koplos, Pete","contributorId":303364,"corporation":false,"usgs":false,"family":"Koplos","given":"Pete","email":"","affiliations":[{"id":65781,"text":"El Paso Veterinary Specialty Center El Paso, TX","active":true,"usgs":false}],"preferred":false,"id":867339,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Garner, Michael M.","contributorId":303365,"corporation":false,"usgs":false,"family":"Garner","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":65782,"text":"Northwest ZooPath, Monroe, WA","active":true,"usgs":false}],"preferred":false,"id":867340,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Deem, Sharon L.","contributorId":139277,"corporation":false,"usgs":false,"family":"Deem","given":"Sharon","email":"","middleInitial":"L.","affiliations":[{"id":12719,"text":"Whitney R. Harris, World Ecology Center, Uni. of Missouri St. Louis","active":true,"usgs":false}],"preferred":false,"id":867341,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70239155,"text":"70239155 - 2022 - Final Report: Predicting impacts to mule deer of changing forage using landscape surface phenology metrics","interactions":[],"lastModifiedDate":"2023-01-10T15:40:27.709115","indexId":"70239155","displayToPublicDate":"2022-04-22T09:38:21","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Final Report: Predicting impacts to mule deer of changing forage using landscape surface phenology metrics","docAbstract":"No abstract available.
","language":"English","publisher":"North Central Climate Adaptation Science Center","usgsCitation":"Graves, T., 2022, Final Report: Predicting impacts to mule deer of changing forage using landscape surface phenology metrics, 11 p.","productDescription":"11 p.","ipdsId":"IP-128240","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":411631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411630,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f83509de4b0e84f60868124/6262ca9cd34e85fa62bb4036","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.26525764513607,\n 48.72070172822782\n ],\n [\n -123.61273609132917,\n 48.72070172822782\n ],\n [\n -123.61273609132917,\n 32.23257810347039\n ],\n [\n -104.26525764513607,\n 32.23257810347039\n ],\n [\n -104.26525764513607,\n 48.72070172822782\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":860612,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70261243,"text":"70261243 - 2022 - Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm","interactions":[],"lastModifiedDate":"2024-12-03T14:58:21.352545","indexId":"70261243","displayToPublicDate":"2022-04-22T08:51:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm","docAbstract":"On June 15, 2020, at 21:16 UTC, a locally-felt earthquake of magnitude 4.2 struck Unalaska Island, Alaska, ∼15 km west of the town of Unalaska and the large fishing port of Dutch Harbor. The event was followed by a M4.1 earthquake at 00:34 UTC and several M3+ aftershocks, initiating a prolific sequence with hundreds of earthquakes recorded into late December. The earthquakes all locate about 12 km southeast of the summit of Makushin Volcano at 7 to 10 km depth. To date, no eruptive activity or other surface changes have been observed at the volcano in webcam images, GPS or InSAR. Seismic bursts close to volcanoes are often associated with the onset of unrest that can lead to eruption. However, determining whether seismicity reflects magmatic rather than tectonic stresses is often challenging, although critical for hazard assessments and risk management strategies. To investigate the triggering mechanisms of the recent Makushin seismicity, we integrate information from space-time patterns of the earthquake hypocenters with their fault-plane solutions. We relocate the swarm events using double-difference relocation techniques and a 3D velocity model and find that the earthquakes, although they seem to follow two predominant orientations (NW-SE and SW-NE), do not show clear clustering into preferred alignments. Similarly, we do not observe pronounced migration in time and space. Fault-plane solutions (FPS) for all but one M2.5+ earthquakes have P-axis orientations consistent with subhorizontal NW-SE oriented regional maximum compression, whereas many of the lower-magnitude earthquakes have P-axes perpendicular to regional maximum compression. This provides evidence for the presence of a local stress field likely induced by magma intrusion. Results from Coulomb stress modeling are also consistent with dike inflation modulated by stresses induced by the M4+ earthquakes. The seismic swarm is thus likely linked to a superposition of driving stresses from both magmatic and tectonic processes on pre-existing faults. The case of the 2020 Makushin swarm, with its unusual characteristics, challenges traditional swarm classification schemes and suggests that a reconsideration of the definition of seismic swarms as having the maximum magnitude event in the middle of the swarm is warranted.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2022.117538","usgsCitation":"Lanza, F., Roman, D., Power, J., Thurber, C.H., and Hudson, T., 2022, Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm: Earth and Planetary Science Letters, v. 587, 117538, 15 p., https://doi.org/10.1016/j.epsl.2022.117538.","productDescription":"117538, 15 p.","ipdsId":"IP-133659","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2022.117538","text":"Publisher Index Page"},{"id":464693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Makushin Volcano, Unalaska Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -167.2315050527,\n 54.05473720557782\n ],\n [\n -167.23895309684224,\n 53.72002593365127\n ],\n [\n -166.40477215290903,\n 53.72002593365127\n ],\n [\n -166.40849617498012,\n 54.05692319405895\n ],\n [\n -167.2315050527,\n 54.05473720557782\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"587","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanza, Federica","contributorId":346877,"corporation":false,"usgs":false,"family":"Lanza","given":"Federica","email":"","affiliations":[{"id":47716,"text":"Swiss Seismological Service","active":true,"usgs":false}],"preferred":false,"id":920087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":920088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":920090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Thomas","contributorId":346881,"corporation":false,"usgs":false,"family":"Hudson","given":"Thomas","affiliations":[{"id":33126,"text":"University of Oxford, Oxford, UK","active":true,"usgs":false}],"preferred":false,"id":920091,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259597,"text":"70259597 - 2022 - Integrating Earth–life systems: A geogenomic approach","interactions":[],"lastModifiedDate":"2024-10-16T12:09:25.931429","indexId":"70259597","displayToPublicDate":"2022-04-22T07:08:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5980,"text":"Trends in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating Earth–life systems: A geogenomic approach","docAbstract":"Migratory freshwater fishes are those that must access discrete habitats to complete their life cycles. Freshwater fish migrations occur around the world and provide numerous ecosystem services for humans and natural systems; however, many migratory species are in decline globally. A limiting factor to successfully conserve freshwater migratory fishes is that the migratory life histories of many species are unknown or only partially described. To provide researchers with critical and comprehensive information to conserve migratory fishes, we developed the North American Freshwater Migratory Fish Database (NAFMFD).
Canada, Mexico and the United States.
Freshwater fish.
To develop this database, we assigned migratory status, pattern and behaviour to a comprehensive list of freshwater fish species found throughout North America. We assembled the database which included assignments (i.e. migratory status, pattern and behaviour) as well as the sources used to make the assignments. Researchers and managers from across North America reviewed the database for completeness and accuracy on the migratory life histories of fishes.
The database synthesizes current knowledge of migratory status, pattern and behaviour of native and non-native freshwater fishes throughout North America, including 1250 species representing 79 families and 325 genera. Results showcase the diversity of migratory life histories of freshwater fishes on the continent, including that at least 25% of North American freshwater fishes are migratory, 23% are non-migratory and 44% have undetermined migratory status.
NAFMFD improves the quality of migratory data accessible to researchers, which supports a more holistic understanding of the threats encountered by migratory fishes, including habitat fragmentation. The approach we used in developing NAFMFD can provide guidance for developing similar databases in other regions. Collectively, our work offers new insights into the range of freshwater fish migratory life histories, stimulating a need to better understand this diversity globally.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.14367","usgsCitation":"Dean, E., Cooper, A.R., Wang, L., Daniel, W., David, S., Ernzen, C., Gido, K.B., Hale, E., Haxton, T., Kelso, W., Leonard, N., Lido, C., Margraf, J., Porter, M., Pennock, C., Propst, D.L., Ross, J., Staudinger, M., Infante, D.M., and Whelan, G., 2022, The North American Freshwater Migratory Fish Database (NAFMFD): Characterizing the migratory life histories of freshwater fishes of Canada, the United States and Mexico: Journal of Biogeography, v. 49, no. 6, p. 1193-1203, https://doi.org/10.1111/jbi.14367.","productDescription":"11 p.; Data Release","startPage":"1193","endPage":"1203","ipdsId":"IP-135436","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":448042,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.14367","text":"Publisher Index 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Box 30446, Lansing, MI 48909","active":true,"usgs":false}],"preferred":false,"id":842718,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70232913,"text":"70232913 - 2022 - Topographic controls on ice flow and recession for Juneau Icefield (Alaska/British Columbia)","interactions":[],"lastModifiedDate":"2022-08-02T15:09:25.73099","indexId":"70232913","displayToPublicDate":"2022-04-22T06:56:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7951,"text":"Earth Surfaces Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Topographic controls on ice flow and recession for Juneau Icefield (Alaska/British Columbia)","docAbstract":"Globally, mountain glaciers and ice caps are losing dramatic volumes of ice. The resultant sea-level rise is dominated by contributions from Alaska. Plateau icefields may be especially sensitive to climate change due to the non-linear controls their topography imparts on their response to climate change. However, Alaskan plateau icefields have been subject to little structural glaciological or regional geomorphological assessment, which makes the controls on their present and former mass balance difficult to ascertain.
We inventoried 1050 glaciers and 368 lakes in the Juneau Icefield region for the year 2019. We found that 63 glaciers had disappeared since the 2005 inventory, with a reduction in glacier area of 422 km2 (10.0%). We also present the first structural glaciological and geomorphological map for an entire icefield in Alaska. Glaciological mapping of >20 800 features included crevasses, debris cover, foliation, ogives, medial moraines and, importantly, areas of glacier fragmentation, where glaciers either separated from tributaries via lateral recession (n = 59), or disconnected within areas of former icefalls (n = 281). Geomorphological mapping of >10 200 landforms included glacial moraines, glacial lakes, trimlines, flutes and cirques. These landforms were generated by a temperate icefield during the Little Ice Age (LIA) neoglaciation. These data demonstrate that the present-day outlet glaciers, which have a similar thermal and ice-flow regime, have undergone largely continuous recession since the LIA. Importantly, disconnections occurring within glaciers can separate accumulation and ablation zones, increasing rates of glacier mass loss. We show that glacier disconnections are widespread across the icefield and should be critically taken into consideration when icefield vulnerability to climate change is considered.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.5383","usgsCitation":"Davies, B., Bendle, J., Carrivick, J., McNabb, R., McNeil, C., Pelto, M., Campbell, S., Holt, T., Ely, J., and Markle, B., 2022, Topographic controls on ice flow and recession for Juneau Icefield (Alaska/British Columbia): Earth Surfaces Processes and Landforms, v. 47, no. 9, p. 2357-2390, https://doi.org/10.1002/esp.5383.","productDescription":"34 p.","startPage":"2357","endPage":"2390","ipdsId":"IP-136133","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":448046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5383","text":"Publisher Index Page"},{"id":403589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"British Columbia, Juneau Icefields","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.5380859375,\n 56.68037378950137\n ],\n [\n -132.07763671874997,\n 56.68037378950137\n ],\n [\n -132.07763671874997,\n 59.24341475839977\n ],\n [\n -136.5380859375,\n 59.24341475839977\n ],\n [\n -136.5380859375,\n 56.68037378950137\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Davies, Bethan 0000-0003-4997-8432","orcid":"https://orcid.org/0000-0003-4997-8432","contributorId":293144,"corporation":false,"usgs":false,"family":"Davies","given":"Bethan","email":"","affiliations":[{"id":63236,"text":"University of London","active":true,"usgs":false}],"preferred":false,"id":846484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bendle, Jacob 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University","active":true,"usgs":false}],"preferred":false,"id":846487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":846488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pelto, Mauri 0000-0002-9498-9125","orcid":"https://orcid.org/0000-0002-9498-9125","contributorId":224116,"corporation":false,"usgs":false,"family":"Pelto","given":"Mauri","email":"","affiliations":[{"id":40827,"text":"Nichols College","active":true,"usgs":false}],"preferred":false,"id":846489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Seth 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crane colt survival in Minnesota","docAbstract":"Age-structured population models require reliable estimates of cohort-specific survival rates, yet vital rates of younger age classes are often difficult to estimate because of the logistical challenges of monitoring young animals. As part of a study of sandhill cranes Antigone canadensis in the zone of contact between breeding distributions of the Eastern Population and Midcontinent Population in Minnesota, we monitored first summer survival of 34 sandhill cranes (hereafter colts) by using very-high-frequency and global positioning system–global system for mobile communications transmitters. We estimated daily survival probabilities from 19 to 120 d posthatch by using a generalized linear model accounting for interval censoring, resulting in an estimated period survival rate of 0.52 (90% CI, 0.36–0.71) over summer (100 d). Estimated daily probabilities of survival increased as colts became older and fledged (at 70–75 d posthatch), when they presumably became less vulnerable to predation. Causes of mortality were mostly unknown aside from one case of a collision with a vehicle. There is a scarcity of published colt survival rate estimates for sandhill cranes, and what is available varies widely by study site. Region-specific sandhill crane colt survival rate estimates can inform future management efforts and inform population dynamics research and overall natural history knowledge of sandhill cranes.
","language":"English","publisher":"Allen Press","doi":"10.3996/jfwm-21-097","usgsCitation":"Severud, W., Wolfson, D., Fieberg, J., and Andersen, D.E., 2022, Sandhill crane colt survival in Minnesota: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 494-501, https://doi.org/10.3996/jfwm-21-097.","productDescription":"8 p.","startPage":"494","endPage":"501","ipdsId":"IP-135672","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-097","text":"Publisher Index Page"},{"id":480919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","county":"Aitkin County, Becker County, Cass County, Clearwater County, Mahnomen County, Todd 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William J.","contributorId":348747,"corporation":false,"usgs":false,"family":"Severud","given":"William J.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":923739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfson, David","contributorId":348748,"corporation":false,"usgs":false,"family":"Wolfson","given":"David","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":923740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fieberg, John","contributorId":348749,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":923741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923738,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70233188,"text":"70233188 - 2022 - Ecological and social strategies for managing fisheries using the Resist-Accept-Direct (RAD) framework","interactions":[],"lastModifiedDate":"2022-07-18T14:21:00.073455","indexId":"70233188","displayToPublicDate":"2022-04-21T09:13:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological and social strategies for managing fisheries using the Resist-Accept-Direct (RAD) framework","docAbstract":"Fisheries management is a complex task made even more challenging by rapid and unprecedented socioecological transformations associated with climate change. The Resist-Accept-Direct (RAD) framework can be a useful tool to support fisheries management in facing the high uncertainty and variability associated with aquatic ecosystem transformations. Here, RAD strategies are presented to address ecological goals for aquatic ecosystems and social goals for fisheries. These strategies are mapped on a controllability matrix which explores the ability to guide a system's behaviour towards a desired state based on ecological responsiveness and societal receptivity to change. Understanding and improving the controllability of aquatic systems and fisheries can help managers to maintain the broadest suite of available RAD management strategies.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12545","usgsCitation":"Lynch, A., Rahel, F.J., Limpinsel, D., Sethi, S., Engman, A.C., Lawrence, D.J., Mills, K., Morrison, W., Peterson, J.O., and Porath, M., 2022, Ecological and social strategies for managing fisheries using the Resist-Accept-Direct (RAD) framework: Fisheries Management and Ecology, v. 29, no. 4, p. 329-345, https://doi.org/10.1111/fme.12545.","productDescription":"17 p.","startPage":"329","endPage":"345","ipdsId":"IP-135092","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":403894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":846736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":846737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limpinsel, Douglas","contributorId":266193,"corporation":false,"usgs":false,"family":"Limpinsel","given":"Douglas","email":"","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":846738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":846739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engman, Agustin C.","contributorId":293208,"corporation":false,"usgs":false,"family":"Engman","given":"Agustin","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":846740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, David J. 0000-0002-1457-9944","orcid":"https://orcid.org/0000-0002-1457-9944","contributorId":225585,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":41167,"text":"U.S. Park Service","active":true,"usgs":false}],"preferred":false,"id":846741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mills, Katherine E.","contributorId":280277,"corporation":false,"usgs":false,"family":"Mills","given":"Katherine E.","affiliations":[{"id":38441,"text":"Gulf of Maine Research Institute","active":true,"usgs":false}],"preferred":false,"id":846742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Wendy","contributorId":245569,"corporation":false,"usgs":false,"family":"Morrison","given":"Wendy","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":846743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peterson, Jay O.","contributorId":293209,"corporation":false,"usgs":false,"family":"Peterson","given":"Jay","email":"","middleInitial":"O.","affiliations":[{"id":38698,"text":"NOAA Fisheries","active":true,"usgs":false}],"preferred":false,"id":846744,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Porath, Mark T.","contributorId":270986,"corporation":false,"usgs":false,"family":"Porath","given":"Mark T.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":846745,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70231525,"text":"70231525 - 2022 - Biogeochemical and ecosystem properties in three adjacent semiarid grasslands are resistant to nitrogen deposition but sensitive to edaphic variability","interactions":[],"lastModifiedDate":"2022-08-02T14:21:41.486398","indexId":"70231525","displayToPublicDate":"2022-04-21T08:43:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemical and ecosystem properties in three adjacent semiarid grasslands are resistant to nitrogen deposition but sensitive to edaphic variability","docAbstract":"