{"pageNumber":"60","pageRowStart":"1475","pageSize":"25","recordCount":46619,"records":[{"id":70256145,"text":"sir20245044 - 2024 - Simulation of groundwater flow in the Long Island, New York regional aquifer system for pumping and recharge conditions from 1900 to 2019","interactions":[],"lastModifiedDate":"2026-02-03T19:24:36.091129","indexId":"sir20245044","displayToPublicDate":"2024-08-20T11:40:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5044","displayTitle":"Simulation of Groundwater Flow in the Long Island, New York Regional Aquifer System for Pumping and Recharge Conditions From 1900 To 2019","title":"Simulation of groundwater flow in the Long Island, New York regional aquifer system for pumping and recharge conditions from 1900 to 2019","docAbstract":"<p>The U.S. Geological Survey has developed a transient, groundwater-flow model that simulates hydrologic conditions in the Long Island aquifer system as part of an ongoing (since 2016) multiyear, cooperative investigation with the New York State Department of Environmental Conservation. The goals of this investigation are to assist stakeholders and resource managers to evaluate the response of the hydrologic system to changes in future hydraulic stresses. Responses in the hydrologic system include changes in water levels in the hydrogeologic units; discharge to streams, coastal waters, and subsurface infrastructure; and the extent of saline groundwater in the aquifers. Hydraulic stresses include future water-supply management and changes in land use and infrastructure.</p><p>The numerical model synthesizes a diverse set of physiographic, geologic, climatic, land-use, and historical population, water use, and infrastructure data to physically represent the Long Island aquifer system from land surface to bedrock and to simulate annual hydrologic conditions between 1900 and 2019. A three-dimensional hydrogeologic framework was developed from existing and recently collected borehole geologic and geophysical data collected as part of a companion drilling program. Water-transmitting properties of the principal aquifer sediments were defined in three dimensions from new and existing lithologic logs. The distribution of recharge from precipitation was estimated from landscape characteristics and climate data. Anthropogenic recharge from wastewater, leaky infrastructure, and storm runoff were estimated from population, infrastructure, and pumping data.</p><p>Water-use data, including well locations, depths, and pumping rates, were obtained from historical sources and records and used to estimate pumping stresses continuously in time and space, at an annual average time scale. The data were incorporated into a three-dimensional numerical model using the U.S. Geological Survey finite difference modeling code MODFLOW 6; the model encompassed all of Long Island and surrounding surface waters and simulated historical hydrologic conditions from 1900 to 2019.</p><p>The calibration process involved trial and error adjustments using prior knowledge to improve general fit to observations followed by an inverse calibration to update and optimize input parameters, using an iterative ensemble smoother algorithm implemented in PEST++ version 5.0. This resulted in a model that generally was in good agreement with observed, dynamically varying hydrologic conditions from 1900 to 2019. The calibrated model was used to develop two base-case models for scenario testing of future, hypothetical conditions where one represented average-annual conditions, and one represented average-seasonal conditions from 2010 to 2019. The model representing average-annual conditions was modified further to represent an alternate sea-level position of 6 feet above the North American Vertical Datum of 1988, and the model representing average-seasonal conditions was modified to represent the average seasonal effects of a 5-year drought imposed upon current hydrologic conditions.</p><p>Recharge is the sole source of water to the aquifer system; groundwater discharges to coastal water and streams and is withdrawn by pumped wells. Model-estimated annual recharge ranged from about 11 inches in 1965 to 41 inches in 1983. On average, from 2010 to 2019, about 23 percent of water was pumped from wells, and about 47 and 27 percent discharged to coastal waters and streams, respectively; the remaining 4 percent was water that moved into storage in the aquifer matrix.</p><p>Water levels on Long Island vary naturally during time in response to changes in recharge; the amount of variation is largest in the interior of the island, in areas with highest water table altitudes near groundwater divides and lowest near streams and the coastal waters. The total range of water table altitudes on Long Island between 1900 and 2019 ranged from near 0 to more than 70 feet in western parts of Long Island. The largest range in altitudes is in New York City and is associated with areas of large historical withdrawals between the 1920s and the late 1980s. Water table altitudes generally varied by less than 10 feet in eastern Suffolk County, where the aquifer is under more natural conditions.</p><p>Saltwater intrusion is of great concern on Long Island, particularly in western Long Island where both the unconfined and confined parts of the aquifer system have been intruded in response to large-scale groundwater withdrawals; however, the volume of freshwater in the islandwide aquifer system only has changed by about 5 percent between 1900 and 2019. The decadal change in the freshwater volume was largest during the early and mid-20th century, corresponding to the largest historical pumping, but that volume change did not exceed 1 percent.</p><p>The negligible change in freshwater volume suggests that saltwater intrusion as of 2019 was limited at an islandwide scale but continues to occur in local areas of Queens and Nassau Counties, adversely affecting current water supplies and limiting future water supplies for affected communities. The regional groundwater model developed for this investigation is a tool that can be used to help determine the viability of current and future water supplies at a regional scale and can be used to support development of additional models at finer scale to support more focused assessments of groundwater sustainability.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245044","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Walter, D.A., Jahn, K.L., Masterson, J.P., Dressler, S.E., Finkelstein, J.S., and Monti, J., Jr., 2024, Simulation of groundwater flow in the Long Island, New York regional aquifer system for pumping and recharge conditions from 1900 to 2019: U.S. Geological Survey Scientific Investigations Report 2024–5044, 113 p., https://doi.org/10.3133/sir20245044.","productDescription":"Report: ix, 113 p.; 3 Data Releases; Interactive 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href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Compilation and Analysis</li><li>Development and Calibration of the Numerical Model</li><li>Simulation of Hydrologic Conditions From 1900 To 2019</li><li>Models Developed for Prediction of Future Changes in Hydrologic Conditions</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-20","noUsgsAuthors":false,"publicationDate":"2024-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahn, Kalle 0000-0002-4976-0137","orcid":"https://orcid.org/0000-0002-4976-0137","contributorId":333053,"corporation":false,"usgs":true,"family":"Jahn","given":"Kalle","email":"","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masterson, John P. 0000-0003-3202-4413","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":102516,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":906905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dressler, Sarken E. 0000-0002-1907-6721","orcid":"https://orcid.org/0000-0002-1907-6721","contributorId":340323,"corporation":false,"usgs":false,"family":"Dressler","given":"Sarken E.","affiliations":[{"id":81577,"text":"New York Water Science Center (former)","active":true,"usgs":false}],"preferred":false,"id":906906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monti 0000-0001-9389-5891 jmonti@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-5891","contributorId":174700,"corporation":false,"usgs":true,"family":"Monti","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":907061,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259729,"text":"70259729 - 2024 - A conterminous United States–Wide validation of relative tidal elevation products","interactions":[],"lastModifiedDate":"2024-10-22T12:15:37.822664","indexId":"70259729","displayToPublicDate":"2024-08-20T07:14:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A conterminous United States–Wide validation of relative tidal elevation products","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Recent large-scale spatial products have been developed to assess wetland position in the tidal frame, but nationwide comparisons and validations are missing for these products. Wetland position within the tidal frame is a commonly used characteristic to compare wetlands across biogeomorphic gradients and factors heavily into wetland vulnerability models. We utilize a dataset of 365 surface elevation table stations across the conterminous USA containing ground-surveyed tidal datum and elevation data to validate two gridded, conterminous USA–wide relative tidal elevation products. We identified substantial differences between our ground-surveyed dataset and the gridded products, with the Gulf coast exhibiting the greatest error (<i>p</i> &lt; 0.0001,<span>&nbsp;</span><i>n</i> = 140). Error in relative tidal elevation products varied by coast, tidal range, and latitude. These differences in errors indicate that gridded relative tidal elevation products may be more accurate in coastal wetlands with larger tidal ranges (&gt; 30&nbsp;cm) and are less accurate in freshwater wetlands near the coast. This paper makes advances in understanding why relative tidal elevation differences occur among national datasets and identifies areas of future work that could support more robust vulnerability models.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01417-9","usgsCitation":"Neville, J.A., Guntenspergen, G.R., Grace, J., Osland, M., and Chivoiu, B., 2024, A conterminous United States–Wide validation of relative tidal elevation products: Estuaries and Coasts, v. 47, p. 2227-2237, https://doi.org/10.1007/s12237-024-01417-9.","productDescription":"11 p.","startPage":"2227","endPage":"2237","ipdsId":"IP-157428","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s12237-024-01417-9","text":"Publisher 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]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Neville, Justine Annaliese 0000-0003-3160-5363","orcid":"https://orcid.org/0000-0003-3160-5363","contributorId":329739,"corporation":false,"usgs":true,"family":"Neville","given":"Justine","email":"","middleInitial":"Annaliese","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":916482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":916483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":206247,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":916484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":916485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":916486,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257289,"text":"sir20245038 - 2024 - Simulation of groundwater flow and brine discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado","interactions":[],"lastModifiedDate":"2026-02-03T18:36:11.0977","indexId":"sir20245038","displayToPublicDate":"2024-08-19T17:15:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5038","displayTitle":"Simulation of Groundwater Flow and Brine Discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado","title":"Simulation of groundwater flow and brine discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado","docAbstract":"<p>Salinity, or total dissolved solids (TDS), of the Colorado River affects agricultural, municipal, and industrial water users and is an important concern in the Western United States. In the Paradox Valley of southwestern Colorado, natural discharge of sodium-chloride brine to the Dolores River from the underlying core of a salt-valley anticline accounts for about 6 percent of the salinity load to the Colorado River. Formation of the Paradox Valley began during the Miocene, and subsequent erosion exposed the Pennsylvania Paradox Formation in the core of the anticline where a cap rock, collapse features, breccia, and sodium-chloride saturated brine developed at the top of the exposed salt diapir. The discharge of brine to the Dolores River is affected by these dissolution features, along with seasonal hydrologic conditions and density-dependent flow between older dense brine and the younger fresh groundwater in the overlying alluvial aquifer. To reduce TDS concentrations in the Dolores River through the Paradox Valley, the Bureau of Reclamation has pumped brine from a series of shallow wells adjacent to the river since July 1996. The pumped brine is collected and piped to a deep disposal well where it is injected into the Mississippian Leadville Limestone at a depth of about 4,570-meters below land surface. The pumping and injection operation is collectively known as the Paradox Valley Unit (PVU), and by 2015, the PVU had substantially reduced TDS concentrations in the Dolores River by about 70 percent. Since 2019, injection-pressure limits and related seismic activity have constrained deep-well injection and thus brine pumping at the PVU.</p><p>In cooperation with the Bureau of Reclamation, the U.S. Geological Survey developed a MODFLOW-6 three-dimensional, variable-density groundwater flow and TDS transport model of the Paradox Valley to evaluate the effects of PVU pumping operations on brine discharge to the Dolores River and to guide additional research. The finite-difference model grid consists of 76 rows and 48 columns oriented from northwest to southeast in alignment with valley topography and groundwater-flow directions in the near-surface freshwater alluvial aquifer. A 7-layer hydrogeologic framework was developed from existing datasets to represent the alluvial aquifer, cap rock, collapse breccia, and groundwater flow and TDS transport from the underlying Paradox Formation salt to the Dolores River. The model represents a 33-year transient calibration period from 1987 through 2020 that includes pre-PVU conditions from 1987 through June 1996 and post-PVU conditions from July 1996 through 2020. A 1,000-year simulation of groundwater flow and coupled TDS transport computed the initial conditions for the subsequent 33-year transient simulation. Observations of precipitation, streamflow, evaporation, agricultural land use, and PVU brine pumping rates were used to specify appropriate boundary conditions to the model representing time-varying recharge, tributary streamflow, groundwater underflow, evapotranspiration (ET), and PVU pumping. Values for average monthly streamflow and TDS concentration at the upstream streamgage, the Dolores River at Bedrock (USGS streamgage 09169500), were specified as model input where the Dolores River enters Paradox Valley. Observed pumping from the PVU, water levels and TDS concentrations in groundwater, and streamflow and estimated TDS concentrations at the downstream streamgage, the Dolores River near Bedrock (USGS streamgage 09171100), were calibration targets that constrained the manual calibration of model parameters representing aquifer hydraulic conductivity, storage, streambed conductance, recharge, and (ET).</p><p>Two primary model-calibration targets were the match between observed and simulated TDS mass flux from PVU pumping wells and the match between estimated and simulated TDS mass flux to the Dolores River. The simulated TDS mass withdrawn by pumping wells is calculated by the model as the product of the assigned pumping rate and simulated groundwater TDS concentrations. Because actual pumping rates were assigned as simulated values, the total simulated PVU pumping for the 33-year calibration is within 0.5 percent of the observed values. However, simulated concentrations and thus mass flux of TDS withdrawn by the PVU pumping wells were consistently about 26 percent less than observed values for all the simulated time periods (33-year simulation, pre-PVU, and post-PVU). The representation of brine inflow was explored through additional modeling to evaluate the effect of the simulated brine source on groundwater TDS concentrations. Results indicated that a saturated-salt constant-flux brine source best replicated the magnitude and transient pattern observed for TDS mass flux from PVU pumping wells.</p><p>The simulated TDS mass flux to the Dolores River is compared to estimates based on observed streamflow and specific conductance (SC) data for the downstream streamgage. The calibrated model provided a close fit of simulated to measured streamflow at the downstream streamgage, and the calibrated model fit to estimated TDS concentrations at the downstream streamgage was reasonable. The greatest differences between simulated and estimated values occurred during drought periods from June 2000 to March 2003, May 2012 to June 2013, and October 2013 to October 2014, when simulated TDS concentrations in the river were greater than estimated concentrations. In general, simulated TDS mass flux to the river for the pre-PVU period is in good agreement with estimated values (2-percent difference), but the model overestimated TDS mass flux to the river by about 41 percent during the post-PVU period. The model uncertainty with respect to TDS mass flux to the river indicates other processes or model parameters not well represented by the model are affecting the system, especially during drought. During model calibration, the most sensitive parameters were identified as vertical hydraulic conductivity of the alluvial aquifer, conductance of the Dolores River streambed, ET extinction depth and rate, and recharge rate.</p><p>Five 5-year scenarios of conditions for 2021–25 were simulated to assist evaluation of alternative strategies to manage the discharge of brine into the Dolores River. The first scenario simulates no PVU pumping and serves as a base case for comparison to the other scenarios. Two scenarios simulate the effects of varying withdrawal timing at an annual rate about one-third less than during 2010 through 2018. During high-flow spring snowmelt runoff periods when brine discharge is naturally minimized, PVU pumping does not substantially affect salinity in the Dolores River, and comparison of these two scenarios indicates that scheduling brine withdrawals during times of low river stage is nearly as effective at reducing TDS mass flux to the river as pumping brine year-round. Cessation of pumping during periods of high river stage may be advantageous for system maintenance, brine injection, and seismic-risk reduction. The fourth scenario tested the effect of reducing irrigation-return flow on brine discharge and predicted a slight reduction of TDS mass flux to the Dolores River, but not as great a reduction as that of using the PVU to remove brine. The fifth scenario simulated 5 years of drought conditions without PVU pumping and indicates brine discharge during drought about 15 percent greater than during average hydrologic conditions. Results from scenario 5 are consistent with the calibrated model results and indicate that aquifer properties and ET processes and parameters may be affecting simulation results during drought.</p><p>The Paradox Valley groundwater model provides a reasonable overall match to observed conditions in the Dolores River. The model is useful for evaluating relative differences between brine management scenarios to inform PVU operational decisions and to identify gaps in data and process understanding. Representation of the brine source, hydraulic-conductivity parameters, and recharge and ET processes were identified as potential areas for additional field and modeling research. Additional research in the Paradox Valley might include field-data collection that provides additional information on the hydrogeologic framework, groundwater levels, groundwater TDS concentrations, stream characteristics, and aquifer properties. Additional modeling efforts could benefit from applying advanced tools for model development, calibration, and visualization including parameter-estimation and sensitivity analysis. Statistical evaluation of known model uncertainties such as hydraulic conductivity, streambed conductance, representations of the brine source, recharge, and ET could improve the match between simulated and estimated TDS mass flux from PVU pumping wells and to the Dolores River further informing model predictions and system understanding for the Paradox Valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245038","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Heywood, C.E., Paschke, S.S., Mast, M.A., and Watts, K.R., 2024, Simulation of groundwater flow and brine discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5038, 47 p., https://doi.org/10.3133/sir20245038.","productDescription":"Report: viii, 47 p.; Data Release; 3 Databases","onlineOnly":"Y","ipdsId":"IP-130109","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":432768,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://waterdata.usgs.gov/monitoring-location/09171100/all-graphs/#period=P7D","text":"USGS database site information —","linkHelpText":"USGS 09171100 Dolores River near Bedrock, CO, in USGS water data for the Nation: U.S. Geological Survey National Water Information System"},{"id":432764,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS database—","linkHelpText":"USGS water data for the Nation: U.S. Geological Survey National Water Information System"},{"id":432759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5038/coverthb.jpg"},{"id":432763,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZW0FH5","text":"USGS data release","linkHelpText":"MODFLOW-6 model of variable-density groundwater flow and brine discharge to the Dolores River in the Paradox Valley, Colorado"},{"id":432766,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://waterdata.usgs.gov/monitoring-location/09169500/all-graphs/#period=P7D","text":"USGS database site information —","linkHelpText":"USGS 09169500 Dolores River at Bedrock, CO, in USGS water data for the Nation: U.S. Geological Survey National Water Information System"},{"id":432760,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5038/sir20245038.pdf","text":"Report","size":"9.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5038"},{"id":499462,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117219.htm","linkFileType":{"id":5,"text":"html"}},{"id":432769,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20235094","text":"Hydrogeologic Conceptual Model of Groundwater Occurrence and Brine Discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado"}],"country":"United States","state":"Colorado","county":"Montrose County","otherGeospatial":"Paradox Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.10372373203981,\n              38.51805273423872\n            ],\n            [\n              -109.10372373203981,\n              38.1119253984173\n            ],\n            [\n              -108.49529764389875,\n              38.1119253984173\n            ],\n            [\n              -108.49529764389875,\n              38.51805273423872\n            ],\n            [\n              -109.10372373203981,\n              38.51805273423872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, Colorado 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeology of Study Area</li><li>Model Development and Parameterization </li><li>Calibration of the Groundwater Model</li><li>Simulation of Groundwater Flow and Brine Discharge in the Paradox Valley</li><li>Model Uncertainty and Limitations</li><li>Brine Management Scenarios</li><li>Additional Research</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2024-08-19","noUsgsAuthors":false,"publicationDate":"2024-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Heywood, Charles E. 0000-0003-0840-2998 cheywood@usgs.gov","orcid":"https://orcid.org/0000-0003-0840-2998","contributorId":219063,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Kenneth R","contributorId":342742,"corporation":false,"usgs":false,"family":"Watts","given":"Kenneth","email":"","middleInitial":"R","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":910326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257288,"text":"sir20235094 - 2024 - Hydrogeologic conceptual model of groundwater occurrence and brine discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado","interactions":[],"lastModifiedDate":"2026-02-02T20:23:29.622888","indexId":"sir20235094","displayToPublicDate":"2024-08-19T17:15:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5094","displayTitle":"Hydrogeologic Conceptual Model of Groundwater Occurrence and Brine Discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado","title":"Hydrogeologic conceptual model of groundwater occurrence and brine discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado","docAbstract":"<p>Salinity, or total dissolved solids (TDS), of the Colorado River is a major concern in the southwestern United States where the river provides water to about 40 million people for municipal and industrial use and is used to irrigate about 5.5 million acres of land. Much of the salinity in the Colorado River Basin is derived from natural interactions of surface water and groundwater with various geologic materials (rocks, soils, and alluvial deposits). The Dolores River in southwest Colorado is a major tributary of the Colorado River that historically accounts for about 6 percent of the salinity load to the Upper Colorado River Basin with the Paradox Valley being the primary source of salinity to the Dolores River. The Paradox Valley, one of several salt-anticline valleys in the region, is a fault-bounded topographic basin aligned with and exposing an underlying salt-anticline core. Salt deposits in the Pennsylvanian Paradox Formation of the Hermosa Group form an elongated salt diapir oriented northwest to southeast that is up to 12,000 feet (ft) thick beneath the present valley floor. Surface erosion, groundwater circulation, and weathering during Tertiary and Quaternary valley formation contributed to development of a cap rock, collapse features, breccia, and brine at the top of the exposed salt diapir. Today (2023), brine occurring in the brecciated cap rock and underlying salt deposits is in hydraulic connection with an overlying freshwater alluvial aquifer, and depending on seasonal river stage and hydrologic conditions, the brine discharges to the Dolores River causing the observed increase in salinity as the river crosses the Paradox Valley.</p><p>To reduce salinity concentrations in the Dolores River, the Bureau of Reclamation (Reclamation) operates the Paradox Valley Unit (PVU). The PVU project consists of nine shallow brine pumping wells near the Dolores River and one deep disposal well where the brine is injected for disposal. When operational, the PVU pumping wells extract brine from the base of the alluvial aquifer that is piped and injected into a deep disposal well about 3 miles southwest of the PVU. The PVU became fully operational July 1, 1996, and by 2015, operation of the PVU had reduced salinity concentrations in the Dolores River by as much as 70 percent compared to pre-PVU conditions. In response to a 4.5 magnitude earthquake, injection operations, and thus PVU pumping, were ceased from March 2019 to June 2022. A trial period of PVU operation began in June 2022 with a reduced injection rate, and thus PVU pumping rate, of about two-thirds capacity to gather additional information and guide future operational decisions.</p><p>In cooperation with Reclamation, the U.S. Geological Survey (USGS) developed this report to present the current (2023) understanding of groundwater and brine occurrence and discharge to the Dolores River in the Paradox Valley. Results from the compilation of spatial datasets, groundwater sampling and age dating, and aquifer tests are presented to provide improved understanding of the Paradox Valley hydrogeology, to supply datasets for a numerical groundwater-flow and brine-transport model, and to support future operations of the PVU. The hydrogeologic data provided herein, along with the most recent loading analysis for the Dolores River in the Paradox Valley, and a previous conceptual model for brine discharge to the river are used to present a conceptual understanding of groundwater occurrence in the Paradox Valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235094","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Paschke, S.S., Mast, M.A., Gardner, P.M., Newman, C.P., and Watts, K.R., 2024, Hydrogeologic conceptual model of groundwater occurrence and brine discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado: U.S. Geological Survey Scientific Investigations Report 2023–5094, 58 p., https://doi.org/10.3133/sir20235094.","productDescription":"Report: x, 54 p.; 2 Data Releases; Database","onlineOnly":"Y","ipdsId":"IP-125569","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":432678,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245038","text":"Simulation of Groundwater Flow and Brine Discharge to the Dolores River in the Paradox Valley, Montrose County, Colorado"},{"id":432677,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS database—","linkHelpText":"USGS water data for the nation: U.S. Geological Survey National Water Information System database"},{"id":432676,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CJQDDU","text":"USGS data release","linkHelpText":"Geospatial datasets developed for a hydrogeologic conceptual model of brine discharge to the Dolores River, Paradox Valley, Colorado"},{"id":432675,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NV5U6F","text":"USGS data release","linkHelpText":"Water-level and pumping data, water-level models, and estimated hydraulic properties for  the Paradox Valley alluvial aquifer in Montrose County, Colorado, 2013"},{"id":432674,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FMWX2J","text":"USGS data release","linkHelpText":"Recharge temperatures and groundwater-age models for the Paradox Valley alluvial aquifer, 2011, Colorado"},{"id":432669,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5094/sir20235094.pdf","text":"Report","size":"9.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5094"},{"id":499380,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117218.htm","linkFileType":{"id":5,"text":"html"}},{"id":432668,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5094/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"Montrose County","otherGeospatial":"Paradox Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.23469392755278,\n              38.62004006715256\n            ],\n            [\n              -109.23469392755278,\n              38.0400613431201\n            ],\n            [\n              -108.48695698861,\n              38.0400613431201\n            ],\n            [\n              -108.48695698861,\n              38.62004006715256\n            ],\n            [\n              -109.23469392755278,\n              38.62004006715256\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, Colorado 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Hydrogeology of the Paradox Valley</li><li>Conceptual Model of Groundwater Occurrence and Brine Discharge in the Paradox Valley</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Application of Environmental Tracers to Determine Groundwater Recharge Sources and Age</li></ul>","publishedDate":"2024-08-19","noUsgsAuthors":false,"publicationDate":"2024-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watts, Kenneth R.","contributorId":342235,"corporation":false,"usgs":false,"family":"Watts","given":"Kenneth R.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":909863,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266827,"text":"70266827 - 2024 - Abiotic and demographic drivers of flea parasitism on deer mice in a recovering mixed-conifer forest a decade postfire","interactions":[],"lastModifiedDate":"2025-05-14T13:20:58.690457","indexId":"70266827","displayToPublicDate":"2024-08-19T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic and demographic drivers of flea parasitism on deer mice in a recovering mixed-conifer forest a decade postfire","docAbstract":"<p><span>With the intensity and frequency of wildfires increasing rapidly, the need to study the ecological effects of these wildfires is also growing. An understudied aspect of fire ecology is the effect fires have on parasite–host interactions, including ectoparasites that might be pathogen vectors. Although some studies have examined the impacts of fire on ticks, studies on other ectoparasites, including pathogen vectors, are rare. To help address this knowledge gap, we examined the abiotic and biotic factors that predict the likelihood and extent of parasitism of deer mice (</span><i>Peromyscus maniculatus</i><span>) by fleas within a landscape of unburned and recovering burned (&gt;9 yr postfire) mixed conifer forests. We sampled 227 individual deer mice across 27 sites within the Jemez Mountains of northern New Mexico in 2022 and quantified measures of parasitism by fleas (primarily&nbsp;</span><i>Aetheca wagneri</i><span>). These sites were distributed in both unburned areas (n = 15) and recovering burned areas (n = 12), with the latter derived from 2 large fires, the Las Conchas fire (2011) and the Thompson Ridge fire (2013). Using these data, we tested for differences in prevalence, mean abundance, and mean intensity of fleas on deer mice, focusing on the predictive importance of host sex and fire history. We also created generalized linear mixed-effects models to investigate the best host and environmental predictors of parasitism by fleas. Approximately a decade postfire, we found minimal evidence to suggest that fire history influenced either the presence or intensity of fleas on deer mice. Rather, at the current forest-regeneration stage, the extent of parasitism by fleas was best predicted by measures of host sex, body condition, and the trapline's ability to accumulate water, as measured through topography. As host body condition increased, the probability of males being parasitized increased, whereas the opposite pattern was seen for females. Male mice also had significantly greater flea loads. Among potential abiotic predictors, the topographic wetness index or compound topographic index (a proxy for soil moisture) was positively related to flea intensity, suggesting larger flea populations in burrows with higher relative humidity. In summary, although fire may potentially have short-term impacts on the likelihood and extent of host parasitism by fleas, in this recovering study system, host characteristics and topographic wetness index are the primary predictors of parasitism by fleas.</span></p>","language":"English","publisher":"BioOne","doi":"10.1645/23-45","usgsCitation":"Padilla, C., Martin, J., Cain, J.W., and Gompper, M., 2024, Abiotic and demographic drivers of flea parasitism on deer mice in a recovering mixed-conifer forest a decade postfire: Journal of Parasitology, v. 110, no. 4, p. 375-385, https://doi.org/10.1645/23-45.","productDescription":"11 p.","startPage":"375","endPage":"385","ipdsId":"IP-153592","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Ranger District of Santa Fe National Forest, Valles Caldera National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.30445858820687,\n              36.653454747968524\n            ],\n            [\n              -107.30445858820687,\n              35.654968715553636\n            ],\n            [\n              -105.9993414935517,\n              35.654968715553636\n            ],\n            [\n              -105.9993414935517,\n              36.653454747968524\n            ],\n            [\n              -107.30445858820687,\n              36.653454747968524\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Padilla, Colton J.","contributorId":353982,"corporation":false,"usgs":false,"family":"Padilla","given":"Colton J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":936849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Jessica T.","contributorId":355088,"corporation":false,"usgs":false,"family":"Martin","given":"Jessica T.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":936850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gompper, Matthew E.","contributorId":353984,"corporation":false,"usgs":false,"family":"Gompper","given":"Matthew E.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":936852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261644,"text":"70261644 - 2024 - Testing tree-ring cellulose δ18O with water isotopes for Holocene lake δ18O  interpretations in the central Rocky Mountains USA","interactions":[],"lastModifiedDate":"2024-12-18T14:28:08.044274","indexId":"70261644","displayToPublicDate":"2024-08-17T15:55:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testing tree-ring cellulose δ<sup>18</sup>O with water isotopes for Holocene lake δ<sup>18</sup>O  interpretations in the central Rocky Mountains USA","title":"Testing tree-ring cellulose δ18O with water isotopes for Holocene lake δ18O  interpretations in the central Rocky Mountains USA","docAbstract":"<p>Stable isotopes of water preserved in geologic archives, primarily as oxygen (δ18O), have proven critical for documenting Earth’s climatic and hydrologic <br>systems past and present. However, timescale differences of water isotope inputs to proxy systems and the signal embedded in long paleorecords often <br>confound translation to observed hydroclimatic metrics. Here, a unique 20-year dataset of meteorology, hydrology, and the isotopic composition of <br>weekly meteoric and surface water samples (δ18O, δ2 H) are combined with paleoclimate δ18O data from tree-ring cellulose and lake carbonate to better <br>understand proxy signals of Upper Colorado river basin drought. Annual tree-ring cellulose δ18O from Picea engelmannii growing within a glacier-fed creek <br>and a spring discharge area were used to derive annual source water δ18O using a cellulose source-water isotope model. Comparisons with the monitoring <br>record indicates that tree-ring cellulose δ18O tracks variations in wet and dry hydroclimatic extremes. Source water isotopes are shown to reflect the <br>hydroclimate of the current year and some number of previous years as an effective moisture-discharge proxy rather than a precipitation isotope proxy. <br>Results contextualize Holocene lake carbonate δ18O data. The contemporary-to-paleo comparison identifies changes in seasonal precipitation extremes <br>during recent millennia and several earlier arid and monsoon-dominated Holocene periods that exceed the arid maximum of the calibration period.</p>","language":"English","publisher":"Sage","doi":"10.1177/09596836241286007","usgsCitation":"Anderson, L., Mast, M.A., Brice, R.L., and Berkelhammer, M., 2024, Testing tree-ring cellulose δ18O with water isotopes for Holocene lake δ18O  interpretations in the central Rocky Mountains USA: The Holocene, https://doi.org/10.1177/09596836241286007.","ipdsId":"IP-160553","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":465237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park, White River Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.90141622400164,\n              40.465855799202444\n            ],\n            [\n              -105.90141622400164,\n              40.05046795053079\n            ],\n            [\n              -105.50554954483171,\n              40.05046795053079\n            ],\n            [\n              -105.50554954483171,\n              40.465855799202444\n            ],\n            [\n              -105.90141622400164,\n              40.465855799202444\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.16037083325054,\n              40.03698920018226\n            ],\n            [\n              -108.16037083325054,\n              39.5506886838231\n            ],\n            [\n              -107.07536861741727,\n              39.5506886838231\n            ],\n            [\n              -107.07536861741727,\n              40.03698920018226\n            ],\n            [\n              -108.16037083325054,\n              40.03698920018226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2024-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":264358,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":921284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":921286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berkelhammer, Max","contributorId":347301,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"Max","email":"","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":921287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70258722,"text":"70258722 - 2024 - Global assessment of aquatic Isoëtes species ecology","interactions":[],"lastModifiedDate":"2024-09-25T12:06:12.189538","indexId":"70258722","displayToPublicDate":"2024-08-17T07:00:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Global assessment of aquatic Isoëtes species ecology","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li><i>Isoëtes</i><span>&nbsp;</span>are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global ecological assessment of aquatic<span>&nbsp;</span><i>Isoëtes</i><span>&nbsp;</span>to identify their environmental requirements and to evaluate if taxonomically related species differ in their ecology.</li><li>The assessment resulted in an extensive new database on aquatic<span>&nbsp;</span><i>Isoëtes</i>, ecological niche analyses, and descriptive species accounts. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic<span>&nbsp;</span><i>Isoëtes.</i><span>&nbsp;</span>We then evaluated the environmental drivers of 16 species using 2,179 global records. Additionally, we used hypervolume analysis to quantify the ecological niches of the two species with the greatest number of records, finding significant differences and evidence that<span>&nbsp;</span><i>Isoëtes echinospora</i><span>&nbsp;</span>occupies a wider ecological niche than<span>&nbsp;</span><i>Isoëtes lacustris</i>.</li><li>Fifty-nine species (30% of the<span>&nbsp;</span><i>c.</i><span>&nbsp;</span>200<span>&nbsp;</span><i>Isoëtes</i><span>&nbsp;</span>species known today) were categorised as aquatic and were mainly reported in the Americas and northern Europe. About 38% of the aquatic species are threatened with extinction or are endemic to a small region, according to the International Union for Conservation of Nature's Red List in 2023. Many species were determined to be sensitive to certain water physical and chemical factors, generally preferring oligotrophic conditions such as low total phosphorus, moderate total nitrogen, moderate to low pH, and low conductivity.</li><li>This analysis includes ecological data in the assessment of rare/threatened aquatic plants globally. This new database and the ecological analyses completed defined the ecological requirements of several species and identified knowledge gaps, which can aid management actions and future research.</li><li>This paper highlights ecological significance and environmental sensitivities of aquatic<span>&nbsp;</span><i>Isoëtes</i>. The current level of knowledge is inadequate for a large proportion of known taxa. We affirm the extreme need to support global, collaborative initiatives on which to build future conservation strategies.</li></ol></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14316","usgsCitation":"Azzella, M.M., Dalla Vecchia, A., Abeli, T., Alahuhta, J., Amoroso, V.B., Ballesteros, E., Bertrin, V., Brunton, D., Bobrov, A.A., Caldeira, C., Ceschin, S., Chemeris, E.V., Ctvrtlikova, M., de Winton, M., Gacia, E., Grishutkin, O.G., Hofstra, D., Ivanova, D., Ivanova, M.O., Konotop, N.K., Larson, D.M., Magrini, S., Mjelde, M., Mochalova, O.A., Oliveira, G., Pedersen, O., de S. Pereira, J.B., Ribaudo, C., Inmaculada Romero Bujan, M., Troia, A., Vinogradova, Y.S., Volkova, P.A., Zandonadi, D., Zueva, N.V., and Bolpagni, R., 2024, Global assessment of aquatic Isoëtes species ecology: Freshwater Biology, v. 69, no. 10, p. 1420-1437, https://doi.org/10.1111/fwb.14316.","productDescription":"18 p.","startPage":"1420","endPage":"1437","ipdsId":"IP-164359","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.14316","text":"Publisher Index Page"},{"id":462240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Azzella, Mattia M.","contributorId":344470,"corporation":false,"usgs":false,"family":"Azzella","given":"Mattia","email":"","middleInitial":"M.","affiliations":[{"id":82356,"text":"University of Roma, Department PDTA","active":true,"usgs":false}],"preferred":false,"id":913859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalla Vecchia, Alice","contributorId":344471,"corporation":false,"usgs":false,"family":"Dalla Vecchia","given":"Alice","email":"","affiliations":[{"id":82358,"text":"University of Parma, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":913860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abeli, Thomas","contributorId":344472,"corporation":false,"usgs":false,"family":"Abeli","given":"Thomas","email":"","affiliations":[{"id":82359,"text":"University of Roma Tre, Department of Science","active":true,"usgs":false}],"preferred":false,"id":913861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alahuhta, Janne","contributorId":344473,"corporation":false,"usgs":false,"family":"Alahuhta","given":"Janne","email":"","affiliations":[{"id":82360,"text":"University of Finland, Geography Research Unit","active":true,"usgs":false}],"preferred":false,"id":913862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amoroso, Victor B.","contributorId":344474,"corporation":false,"usgs":false,"family":"Amoroso","given":"Victor","email":"","middleInitial":"B.","affiliations":[{"id":82362,"text":"Central Mindanao University, Center for Biodiversity Research and Extension in Mindanao","active":true,"usgs":false}],"preferred":false,"id":913863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballesteros, Enric","contributorId":344475,"corporation":false,"usgs":false,"family":"Ballesteros","given":"Enric","affiliations":[{"id":82363,"text":"Centre d’Estudis Avançats de Blanes, Blanes, Spain","active":true,"usgs":false}],"preferred":false,"id":913864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bertrin, Vincent","contributorId":344476,"corporation":false,"usgs":false,"family":"Bertrin","given":"Vincent","email":"","affiliations":[{"id":82364,"text":"7 Irstea, UR EABX, Centre de Bordeaux, Cestas, France","active":true,"usgs":false}],"preferred":false,"id":913865,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brunton, Daniel","contributorId":344477,"corporation":false,"usgs":false,"family":"Brunton","given":"Daniel","email":"","affiliations":[{"id":82365,"text":"Canadian Museum of Nature, Centre for Species Discovery and Botany Section, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":913866,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bobrov, Alexander A.","contributorId":344478,"corporation":false,"usgs":false,"family":"Bobrov","given":"Alexander","email":"","middleInitial":"A.","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913867,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Caldeira, Cecilio","contributorId":344479,"corporation":false,"usgs":false,"family":"Caldeira","given":"Cecilio","email":"","affiliations":[{"id":82367,"text":"Instittuto Tecnológico Vale, Belém, Brazil","active":true,"usgs":false}],"preferred":false,"id":913868,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ceschin, Simona","contributorId":344480,"corporation":false,"usgs":false,"family":"Ceschin","given":"Simona","email":"","affiliations":[{"id":82359,"text":"University of Roma Tre, Department of Science","active":true,"usgs":false}],"preferred":false,"id":913869,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chemeris, Elena V.","contributorId":344481,"corporation":false,"usgs":false,"family":"Chemeris","given":"Elena","email":"","middleInitial":"V.","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913870,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ctvrtlikova, Martina","contributorId":344482,"corporation":false,"usgs":false,"family":"Ctvrtlikova","given":"Martina","email":"","affiliations":[{"id":82368,"text":"Biology Centre CAS, Institute of Hydrobiology, České BudéJovice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":913871,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"de Winton, Mary","contributorId":344483,"corporation":false,"usgs":false,"family":"de 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Deborah","contributorId":344486,"corporation":false,"usgs":false,"family":"Hofstra","given":"Deborah","email":"","affiliations":[{"id":82369,"text":"Freshwater Centre, National Institute of Water and Atmospheric Research (NIWA), New Zealand","active":true,"usgs":false}],"preferred":false,"id":913875,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ivanova, Daniella","contributorId":344487,"corporation":false,"usgs":false,"family":"Ivanova","given":"Daniella","email":"","affiliations":[{"id":82370,"text":"Institute of Biodiversity and Ecosystem Research, Department of Plant and Fungal Diversity and Resources, Sofia Bulgaria","active":true,"usgs":false}],"preferred":false,"id":913876,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ivanova, Maria O.","contributorId":344488,"corporation":false,"usgs":false,"family":"Ivanova","given":"Maria","email":"","middleInitial":"O.","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913877,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Konotop, Nikita K.","contributorId":344489,"corporation":false,"usgs":false,"family":"Konotop","given":"Nikita","email":"","middleInitial":"K.","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913878,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":913879,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Magrini, Sara","contributorId":344490,"corporation":false,"usgs":false,"family":"Magrini","given":"Sara","email":"","affiliations":[{"id":82371,"text":"Tuscia Univeristy, Department of Ecological and Biological Sciences & Germplasm Bank","active":true,"usgs":false}],"preferred":false,"id":913880,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Mjelde, Marit","contributorId":344491,"corporation":false,"usgs":false,"family":"Mjelde","given":"Marit","email":"","affiliations":[{"id":82372,"text":"Norwegian Institute for Water Research (NIVA), Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":913881,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Mochalova, Olga A.","contributorId":344492,"corporation":false,"usgs":false,"family":"Mochalova","given":"Olga","email":"","middleInitial":"A.","affiliations":[{"id":82373,"text":"Institute of biological problems of the North FEB RAS, Magadan, Russia","active":true,"usgs":false}],"preferred":false,"id":913882,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Oliveira, Guilherme","contributorId":344493,"corporation":false,"usgs":false,"family":"Oliveira","given":"Guilherme","email":"","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913883,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Pedersen, Ole","contributorId":344494,"corporation":false,"usgs":false,"family":"Pedersen","given":"Ole","email":"","affiliations":[{"id":82374,"text":"Univeristy of Copenhagen, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":913884,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"de S. Pereira, Jovani B.","contributorId":344495,"corporation":false,"usgs":false,"family":"de S. Pereira","given":"Jovani","email":"","middleInitial":"B.","affiliations":[{"id":82375,"text":"Instituto de Pesquisas Ambientais, Sãn Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":913885,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Ribaudo, Cristina","contributorId":344496,"corporation":false,"usgs":false,"family":"Ribaudo","given":"Cristina","email":"","affiliations":[{"id":29882,"text":"Université de Bordeaux, Pessac, France","active":true,"usgs":false}],"preferred":false,"id":913886,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Inmaculada Romero Bujan, Maria","contributorId":344497,"corporation":false,"usgs":false,"family":"Inmaculada Romero Bujan","given":"Maria","email":"","affiliations":[{"id":82376,"text":"University of Santiago de Compostela, Department of Botany","active":true,"usgs":false}],"preferred":false,"id":913887,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Troia, Angelo","contributorId":344498,"corporation":false,"usgs":false,"family":"Troia","given":"Angelo","email":"","affiliations":[{"id":82377,"text":"Univeristy of Palermo, Department of Biological, Chemical, and Pharmaceutical Sciences and Technology","active":true,"usgs":false}],"preferred":false,"id":913888,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Vinogradova, Yulia S.","contributorId":344499,"corporation":false,"usgs":false,"family":"Vinogradova","given":"Yulia","email":"","middleInitial":"S.","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913889,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Volkova, Polina A.","contributorId":344500,"corporation":false,"usgs":false,"family":"Volkova","given":"Polina","email":"","middleInitial":"A.","affiliations":[{"id":82366,"text":"Papanin Institute for Biology of Inland Waters RAS, Borok, Russia","active":true,"usgs":false}],"preferred":false,"id":913890,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Zandonadi, Daniel","contributorId":344501,"corporation":false,"usgs":false,"family":"Zandonadi","given":"Daniel","email":"","affiliations":[{"id":82378,"text":"Universidade Federal do Rio de Janeiro, Instituto de Biodiversidade e Sustentabilidade","active":true,"usgs":false}],"preferred":false,"id":913891,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Zueva, Nadezhda V.","contributorId":344502,"corporation":false,"usgs":false,"family":"Zueva","given":"Nadezhda","email":"","middleInitial":"V.","affiliations":[{"id":82379,"text":"Russian State Hydrometeorrlogical University","active":true,"usgs":false}],"preferred":false,"id":913892,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Bolpagni, Rossano","contributorId":344503,"corporation":false,"usgs":false,"family":"Bolpagni","given":"Rossano","email":"","affiliations":[{"id":82358,"text":"University of Parma, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":913893,"contributorType":{"id":1,"text":"Authors"},"rank":35}]}}
,{"id":70257287,"text":"ofr20241022 - 2024 - Report of the River Master of the Delaware River for the period December 1, 2016–November 30, 2017","interactions":[],"lastModifiedDate":"2026-01-29T19:40:41.179313","indexId":"ofr20241022","displayToPublicDate":"2024-08-16T14:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1022","displayTitle":"Report of the River Master of the Delaware River for the Period December 1, 2016–November 30, 2017","title":"Report of the River Master of the Delaware River for the period December 1, 2016–November 30, 2017","docAbstract":"<h1>Executive Summary</h1><p>A Decree of the Supreme Court of the United States, entered June 7, 1954 (<i>New Jersey</i> v. <i>New York</i>, 347 U.S. 995), established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes the diversion of water from the Delaware River Basin and requires compensating releases from certain reservoirs owned by New York City be made under the supervision and direction of the River Master. The Decree stipulates that the River Master provide reports to the Court, not less frequently than annually. This report is the 64th annual report of the River Master of the Delaware River. The report covers the 2017 River Master report year, from December 1, 2016, to November 30, 2017.</p><p>During the report year, precipitation in the upper Delaware River Basin was 47.85 inches or 108 percent of the long-term average. On December 1, 2016, combined useable storage in the New York City reservoirs in the upper Delaware River Basin was 110.115 billion gallons or 40.7 percent of combined storage capacity, the lowest combined storage of the 2017 report year. The reservoirs were at about 100 percent of useable capacity on May 31, 2017. Combined storage remained above 80 percent of combined capacity until September 2017.</p><p>A lower basin drought watch issued by the Delaware River Basin Commission in 2016 extended from the beginning of this report year to January 18, 2017. The drought watch was ended on January 18, 2017, due to increased precipitation in December 2016. River Master operations during the year were conducted as stipulated by the Decree and the Flexible Flow Management Programs.</p><p>Diversions from the Delaware River Basin by New York City and New Jersey fully complied with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey (N.J.), on 52 days during the report year. Interim Excess Release Quantity and conservation releases, designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs, were made during the report year. Excess Release Quantity and Interim Excess Release Quantity Bank releases were also made during the report year.</p><p>The water quality in the Delaware River estuary between the streamgages at Trenton, N.J., and Reedy Island Jetty, Delaware, was monitored at various locations. The data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241022","isbn":"978-1-4113-4580-5","usgsCitation":"Russell, K.L., Andrews, W.J., DiFrenna, V.J., Norris, J.M., and Mason, R.R., Jr., 2024, Report of the River Master of the Delaware River for the period December 1, 2016–November 30, 2017: U.S. Geological Survey Open-File Report 2024–1022, 109 p., https://doi.org/10.3133/ofr20241022.","productDescription":"xi, 109 p.","numberOfPages":"109","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-153026","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":499249,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117174.htm","linkFileType":{"id":5,"text":"html"}},{"id":432667,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1022/images/"},{"id":432666,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1022/ofr20241022.XML","description":"OFR 2024-1022 XML"},{"id":432665,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1022 HTML"},{"id":432664,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1022/ofr20241022.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1022 PDF"},{"id":432663,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1022/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76,\n              43\n            ],\n            [\n              -76,\n              39.31354002356349\n            ],\n            [\n              -74,\n              39.31354002356349\n            ],\n            [\n              -74,\n              43\n            ],\n            [\n              -76,\n              43\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://webapps.usgs.gov/odrm/\" data-mce-href=\"https://webapps.usgs.gov/odrm/\">Delaware River Master</a><br>Office of the Delaware River Master<br>U.S. Geological Survey</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Method to Determine Directed Releases From New York City Reservoirs</li><li>Hydrologic Conditions</li><li>Operations</li><li>Conformance of Operations Under the Amended Decree of the Supreme Court of the United States Entered June 7, 1954</li><li>Quality of Water in the Delaware River Estuary</li><li>Tables 1, 3–11, and 13–20</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Four-Party Letter for Interim Operations</li><li>Appendix 2. Agreement For a Flexible Flow Management Program</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-16","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Kendra L. 0000-0002-3046-7440","orcid":"https://orcid.org/0000-0002-3046-7440","contributorId":218135,"corporation":false,"usgs":true,"family":"Russell","given":"Kendra","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":909854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":216006,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiFrenna, Vincent J. 0000-0002-1336-7288","orcid":"https://orcid.org/0000-0002-1336-7288","contributorId":298307,"corporation":false,"usgs":true,"family":"DiFrenna","given":"Vincent","email":"","middleInitial":"J.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":909856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":335919,"corporation":false,"usgs":false,"family":"Norris","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":909857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":335041,"corporation":false,"usgs":false,"family":"Mason,","given":"Robert R.","suffix":"Jr.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":909858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263400,"text":"70263400 - 2024 - Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023","interactions":[],"lastModifiedDate":"2025-02-10T16:47:16.140108","indexId":"70263400","displayToPublicDate":"2024-08-16T10:42:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023","docAbstract":"<p><span>The U.S. Geological Survey (USGS)‐operated ShakeAlert® system is the United States West Coast earthquake early warning system (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf41\">Given<span>&nbsp;</span><i>et&nbsp;al.</i>, 2018</a><span>). In this study we detail ShakeAlert’s performance during some of the largest events seen by the system thus far. Statewide public alerting using ShakeAlert messages was authorized in California in October 2019. Over the next few years, public alerts were expanded into Oregon and then into Washington (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf79\">U.S. Geological Survey, 2024</a><span>). ShakeAlert source results are routinely compared to the USGS Comprehensive Catalog (ComCat;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf43\">Guy<span>&nbsp;</span><i>et&nbsp;al.</i>, 2015</a><span>;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf80\">U.S. Geological Survey, Earthquake Hazards Program, 2017</a><span>), which contains the earthquake location and magnitude determined using complete waveform data.&nbsp;</span><strong>M</strong><span>&nbsp;4.5 and larger is the threshold used for public alerting and was deliberately set below the level where damage is likely to compensate for cases where the system underestimates the magnitude. Between 17 October 2019 and 1 September 2023, the ShakeAlert system created 95 events with maximum magnitude estimates of&nbsp;</span><strong>M</strong><span>&nbsp;≥4.5, the public alerting threshold. 94 of the 95 events were due to real earthquakes. Seven were categorized “false” per ShakeAlert’s internal definition that there was no matching catalog event within 100&nbsp;km and 30&nbsp;s of origin time; however, all but one of these were real earthquakes that were poorly located, primarily because they were at the edges of the seismic network. Three detected events were labeled “missed” because they were very poorly located (&gt;100&nbsp;km location error). In addition, the system did not produce solutions for four ComCat events&nbsp;</span><strong>M</strong><span>&nbsp;≥4.5 (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf80\">U.S. Geological Survey, Earthquake Hazards Program, 2017</a><span>), which were all at the edge of the alerting and network boundaries. The ShakeAlert system has accurately detected the majority of earthquakes that have occurred within the operational region since completing the public rollout, and alerts from the system have been delivered to millions of cell phone users throughout the West Coast.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230259","usgsCitation":"Lux, A., Smith, D., Böse, M., McGuire, J., Saunders, J., Huynh, M., Stubailo, I., Andrews, J.R., Lotto, G., Crowell, B., Crane, S., Allen, R.M., Given, D.D., Hartog, R., Heaton, T., Husker, A., Marty, J., O'Driscoll, L., Tobin, H.J., McBride, S.K., and Toomey, D., 2024, Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023: Bulletin of the Seismological Society of America, v. 114, no. 6, p. 3041-3062, https://doi.org/10.1785/0120230259.","productDescription":"22 p.","startPage":"3041","endPage":"3062","ipdsId":"IP-158989","costCenters":[{"id":237,"text":"Earthquake Science 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0000-0002-5679-5565","orcid":"https://orcid.org/0000-0002-5679-5565","contributorId":263435,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","email":"","middleInitial":"R","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":926838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lotto, G.","contributorId":350738,"corporation":false,"usgs":false,"family":"Lotto","given":"G.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":926839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crowell, B.","contributorId":350722,"corporation":false,"usgs":false,"family":"Crowell","given":"B.","affiliations":[{"id":28238,"text":"Univ of Washington","active":true,"usgs":false}],"preferred":false,"id":926840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crane, S.","contributorId":350739,"corporation":false,"usgs":false,"family":"Crane","given":"S.","affiliations":[{"id":83822,"text":"Natural Resources Canada (NRCAN), Ottawa","active":true,"usgs":false}],"preferred":false,"id":926841,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":926842,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Given, Douglas D. 0000-0002-3277-5121 doug@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-5121","contributorId":201870,"corporation":false,"usgs":true,"family":"Given","given":"Douglas","email":"doug@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926843,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hartog, R.","contributorId":201873,"corporation":false,"usgs":false,"family":"Hartog","given":"R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":926844,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Heaton, T.","contributorId":222141,"corporation":false,"usgs":false,"family":"Heaton","given":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":926845,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Husker, A.","contributorId":350740,"corporation":false,"usgs":false,"family":"Husker","given":"A.","affiliations":[{"id":83820,"text":"California Institute of Technology (Caltech) Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":926846,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Marty, J.","contributorId":350741,"corporation":false,"usgs":false,"family":"Marty","given":"J.","affiliations":[{"id":83823,"text":"UC Berkeley Seismological Laboratory (UCB)","active":true,"usgs":false}],"preferred":false,"id":926847,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"O'Driscoll, Leland","contributorId":350742,"corporation":false,"usgs":false,"family":"O'Driscoll","given":"Leland","affiliations":[{"id":83824,"text":"University of Oregon (UO), Eugene","active":true,"usgs":false}],"preferred":false,"id":926848,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tobin, Harold J.","contributorId":350743,"corporation":false,"usgs":false,"family":"Tobin","given":"Harold","middleInitial":"J.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":926849,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McBride, Sara K. 0000-0002-8062-6542 skmcbride@usgs.gov","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":224627,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","email":"skmcbride@usgs.gov","middleInitial":"K.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":926944,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Toomey, D.","contributorId":350744,"corporation":false,"usgs":false,"family":"Toomey","given":"D.","affiliations":[{"id":83824,"text":"University of Oregon (UO), Eugene","active":true,"usgs":false}],"preferred":false,"id":926850,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70257160,"text":"70257160 - 2024 - Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","interactions":[],"lastModifiedDate":"2024-08-12T12:11:35.568056","indexId":"70257160","displayToPublicDate":"2024-08-16T06:51:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e565\">Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/tc-18-3195-2024","usgsCitation":"Piermattei, L., Zemp, M., Sommer, C., Brun, F., Braun, M.H., Andreassen, L.M., Belart, J.M., Berthier, E., Bhattacharya, A., Boehm Vock, L., Bolch, T., Dehecq, A., Dussaillant, I., Falaschi, D., Florentine, C., Floricioiu, D., Ginzler, C., Guillet, G., Hugonnet, R., Kaab, A., King, O., Klug, C., Knuth, F., Krieger, L., La Frenierre, J., McNabb, R., McNeil, C., Prinz, R., Sass, L., Seehaus, T., Shean, D., Treichler, D., Wendt, A., and Yang, R., 2024, Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data: The Cryosphere, v. 18, no. 7, p. 3195-3230, https://doi.org/10.5194/tc-18-3195-2024.","productDescription":"36 p.","startPage":"3195","endPage":"3230","ipdsId":"IP-154831","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-18-3195-2024","text":"Publisher Index Page"},{"id":432482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Piermattei, Livia","contributorId":342083,"corporation":false,"usgs":false,"family":"Piermattei","given":"Livia","email":"","affiliations":[],"preferred":false,"id":909583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zemp, Michael","contributorId":342071,"corporation":false,"usgs":false,"family":"Zemp","given":"Michael","email":"","affiliations":[],"preferred":false,"id":909600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sommer, Christian","contributorId":342072,"corporation":false,"usgs":false,"family":"Sommer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brun, Fanny","contributorId":342073,"corporation":false,"usgs":false,"family":"Brun","given":"Fanny","email":"","affiliations":[],"preferred":false,"id":909602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braun, Matthias H.","contributorId":342074,"corporation":false,"usgs":false,"family":"Braun","given":"Matthias","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":909603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreassen, Liss M.","contributorId":342075,"corporation":false,"usgs":false,"family":"Andreassen","given":"Liss","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":909604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belart, Joaquin M. C.","contributorId":342076,"corporation":false,"usgs":false,"family":"Belart","given":"Joaquin","email":"","middleInitial":"M. C.","affiliations":[],"preferred":false,"id":909605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berthier, Etienne","contributorId":342077,"corporation":false,"usgs":false,"family":"Berthier","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":909606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bhattacharya, Atanu","contributorId":342078,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Atanu","email":"","affiliations":[],"preferred":false,"id":909607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boehm Vock, Laura","contributorId":342079,"corporation":false,"usgs":false,"family":"Boehm Vock","given":"Laura","email":"","affiliations":[],"preferred":false,"id":909608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bolch, Tobias","contributorId":342080,"corporation":false,"usgs":false,"family":"Bolch","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":909609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dehecq, Amaury","contributorId":299746,"corporation":false,"usgs":false,"family":"Dehecq","given":"Amaury","email":"","affiliations":[],"preferred":false,"id":909610,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dussaillant, Ines","contributorId":342081,"corporation":false,"usgs":false,"family":"Dussaillant","given":"Ines","email":"","affiliations":[],"preferred":false,"id":909611,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Falaschi, Daniel","contributorId":342082,"corporation":false,"usgs":false,"family":"Falaschi","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":909612,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909613,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Floricioiu, Dana","contributorId":342084,"corporation":false,"usgs":false,"family":"Floricioiu","given":"Dana","email":"","affiliations":[],"preferred":false,"id":909614,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ginzler, Christian","contributorId":342085,"corporation":false,"usgs":false,"family":"Ginzler","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909615,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Guillet, Gregoire","contributorId":342086,"corporation":false,"usgs":false,"family":"Guillet","given":"Gregoire","email":"","affiliations":[],"preferred":false,"id":909616,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hugonnet, Romain","contributorId":342087,"corporation":false,"usgs":false,"family":"Hugonnet","given":"Romain","email":"","affiliations":[],"preferred":false,"id":909617,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kaab, Andreas","contributorId":53175,"corporation":false,"usgs":false,"family":"Kaab","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":909618,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"King, Owen","contributorId":342089,"corporation":false,"usgs":false,"family":"King","given":"Owen","email":"","affiliations":[],"preferred":false,"id":909619,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Klug, Christoph","contributorId":342090,"corporation":false,"usgs":false,"family":"Klug","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":909620,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Knuth, Friedrich","contributorId":299741,"corporation":false,"usgs":false,"family":"Knuth","given":"Friedrich","email":"","affiliations":[],"preferred":false,"id":909621,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Krieger, Lukas","contributorId":342091,"corporation":false,"usgs":false,"family":"Krieger","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":909622,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"La Frenierre, Jeff","contributorId":342092,"corporation":false,"usgs":false,"family":"La Frenierre","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":909623,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"McNabb, Robert 0000-0003-0016-493X","orcid":"https://orcid.org/0000-0003-0016-493X","contributorId":293147,"corporation":false,"usgs":false,"family":"McNabb","given":"Robert","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":909624,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"McNeil, Christopher 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":220853,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":909625,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Prinz, Rainer","contributorId":342093,"corporation":false,"usgs":false,"family":"Prinz","given":"Rainer","email":"","affiliations":[],"preferred":false,"id":909626,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@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":909627,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Seehaus, Thorsten","contributorId":342094,"corporation":false,"usgs":false,"family":"Seehaus","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":909628,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Shean, David","contributorId":299742,"corporation":false,"usgs":false,"family":"Shean","given":"David","affiliations":[],"preferred":false,"id":909629,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Treichler, Desiree","contributorId":342095,"corporation":false,"usgs":false,"family":"Treichler","given":"Desiree","email":"","affiliations":[],"preferred":false,"id":909630,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wendt, Anja","contributorId":342096,"corporation":false,"usgs":false,"family":"Wendt","given":"Anja","email":"","affiliations":[],"preferred":false,"id":909631,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Yang, Ruitang","contributorId":342097,"corporation":false,"usgs":false,"family":"Yang","given":"Ruitang","email":"","affiliations":[],"preferred":false,"id":909632,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"id":70257731,"text":"70257731 - 2024 - Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States","interactions":[],"lastModifiedDate":"2024-10-23T16:04:36.22601","indexId":"70257731","displayToPublicDate":"2024-08-16T06:37:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States","docAbstract":"<h3 id=\"jbi14985-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>The climate change-induced transition from grass-dominated marshes to woody-plant-dominated mangrove forests has the potential to impact the ecosystem goods and services provided by coastal wetlands. To better anticipate and prepare for these impacts, there is a need to advance understanding of future changes in mangrove distribution and coastal wetland vegetation structural properties due to warming winters.</p><h3 id=\"jbi14985-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Southeastern United States.</p><h3 id=\"jbi14985-sec-0003-title\" class=\"article-section__sub-title section1\">Time Period</h3><p>Recent (1981–2010) and future (2071–2100).</p><h3 id=\"jbi14985-sec-0004-title\" class=\"article-section__sub-title section1\">Major Taxa Studied</h3><p>Coastal wetland vegetation.</p><h3 id=\"jbi14985-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We estimated changes in mangrove distribution and coastal wetland vegetation structure using known climate-ecological relationships, recent climate data for the period 1981–2010, and future projected climate data for the period 2071–2100. We quantified potential changes in mangrove presence, mangrove relative abundance, coastal wetland vegetation height, and coastal wetland vegetation aboveground biomass under two Shared Socio-Economic Pathway scenarios (SSPs; SSP2-4.5 and SSP5-8.5), which correspond to intermediate and high greenhouse gas emissions scenarios, respectively.</p><h3 id=\"jbi14985-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Our analyses indicate that mangrove presence and relative abundance will dramatically increase in the northern Gulf of Mexico and the southeast Atlantic coast of the United States, particularly under the high emissions scenario. Because of the higher stature of mangroves relative to salt marsh vegetation, this expansion will cause a transformative change in coastal wetland vegetation height and aboveground biomass in many areas. However, along the arid southern Texas coast, low precipitation and high salinities are expected to constrain mangrove expansion and growth.</p><h3 id=\"jbi14985-sec-0007-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Our results show where and to what extent climate change, in the form of winter temperature warming, is projected to enable the transition from shorter, grass-dominated salt marshes to taller, woody plant-dominated mangrove forests in the southeastern United States, with consequent impacts on ecosystem goods and services.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.14985","usgsCitation":"Bardou, R., Osland, M., Alemu I, J., Feher, L.C., Harlan, D.P., Scyphers, S.B., Shepard, C., Swinea, S.H., Thorne, K., Andrew, J.E., and Hughes, A.R., 2024, Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States: Journal of Biogeography, v. 51, no. 11, p. 2285-2297, https://doi.org/10.1111/jbi.14985.","productDescription":"13 p.","startPage":"2285","endPage":"2297","ipdsId":"IP-159771","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439211,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.14985","text":"Publisher Index Page"},{"id":433149,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.39786032599629,\n              24.136736510479963\n            ],\n            [\n              -75.31582907599602,\n              24.136736510479963\n            ],\n            [\n              -75.31582907599602,\n              38.69409218113995\n            ],\n            [\n              -99.39786032599629,\n              38.69409218113995\n            ],\n            [\n              -99.39786032599629,\n              24.136736510479963\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu I, Jahson B.","contributorId":343615,"corporation":false,"usgs":false,"family":"Alemu I","given":"Jahson B.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":911541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feher, Laura Colleen 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":336523,"corporation":false,"usgs":false,"family":"Feher","given":"Laura","email":"","middleInitial":"Colleen","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":911542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harlan, David P.","contributorId":343618,"corporation":false,"usgs":false,"family":"Harlan","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":911543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":911545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, Kalaina","contributorId":290482,"corporation":false,"usgs":false,"family":"Thorne","given":"Kalaina","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":911547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Andrew, Jill E.","contributorId":343621,"corporation":false,"usgs":false,"family":"Andrew","given":"Jill","email":"","middleInitial":"E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":911548,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":911549,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70263690,"text":"70263690 - 2024 - The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","interactions":[],"lastModifiedDate":"2025-02-20T22:09:37.912852","indexId":"70263690","displayToPublicDate":"2024-08-15T16:06:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster <i>Crassostrea virginica </i>example","title":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Increasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. Along the northern coast of the Gulf of Mexico, the eastern oyster<span>&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;</span>fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for restoration, conservation, and management.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development, and use this framework to identify uncertainties and research needs.</p></div><div class=\" sec\"><div class=\"title\">Result</div><p class=\"chapter-para\">The CEM uses a nested design, identifying explicit vital rates, processes, attributes, and outcomes for the species (oysters), population, and metapopulation (i.e., network of populations) levels in response to drivers of species, population, and metapopulation changes and changing environmental factors. Most management actions related to oyster restoration and harvest affect population attributes directly, but many coastal management actions and changes (i.e., climate change and coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of oysters, populations, and metapopulations.</p></div><div class=\" sec\"><div class=\"title\">Conclusion</div><p class=\"chapter-para\">Investment in studies targeting individual oyster‐ and population‐level multi‐stressor responses (filtration, respiration, growth, and reproduction) and improving hydrodynamic and environmental models targeting drivers that influence metapopulation vital rates and attributes (i.e., connectivity and substrate persistence) would contribute to reducing uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on‐reef oyster vital rates would assist in balancing the goals of conservation, restoration, and fisheries management of this foundational estuarine species.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1002/mcf2.10297","usgsCitation":"La Peyre, M., Sable, S., Marshall, D., Irwin, E.R., and Hanson, C., 2024, The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 16, no. 4, 10297, 16 p., https://doi.org/10.1002/mcf2.10297.","productDescription":"10297, 16 p.","ipdsId":"IP-159595","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10297","text":"Publisher Index Page"},{"id":482302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"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":927834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Chad W.","contributorId":351071,"corporation":false,"usgs":false,"family":"Hanson","given":"Chad W.","affiliations":[{"id":65917,"text":"The Pew Charitable Trusts","active":true,"usgs":false}],"preferred":false,"id":927838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257195,"text":"ofr20241040 - 2024 - Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","interactions":[],"lastModifiedDate":"2026-02-09T17:14:31.244181","indexId":"ofr20241040","displayToPublicDate":"2024-08-15T13:48:22","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1040","displayTitle":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding Activities and Habitat Use—2023 Annual Report","title":"Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","docAbstract":"<h1>Executive Summary</h1><p>We completed four protocol surveys for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>; hereinafter vireo) during the breeding season, supplemented by weekly territory monitoring visits between April 6 and July 20 at the San Luis Rey Flood Risk Management Project Area (hereinafter Project Area). We identified a total of 136 territorial male vireos; 121 were confirmed as paired, and 4 were confirmed as single males. For the remaining 11 territories, we were unable to confirm breeding status. In 2023, two transient vireos were detected. The vireo population in the Project Area increased by 2 percent from 2022 to 2023. Populations in southern San Diego County also increased (by 6 percent on the Otay River) or were stable (Salt Creek/Wolf Canyon). In contrast, the vireo population at Marine Corps Base Camp Pendleton (MCBCP) and at Marine Corps Air Station decreased by 2 and 10 percent, respectively.</p><p>We used an index of treatment (hereinafter Treatment Index) to evaluate the effect of ongoing vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory by using the percentage area treated weighted by the number of years since treatment. We determined that the Treatment Index for an unoccupied habitat was more than four times higher than that of an occupied habitat, indicating that vireos selected habitats that were less treated in which to settle.</p><p>We monitored vireo nests at three general site types: (1) within the flood channel where non-native and native vegetation removal has occurred regularly (hereinafter Channel), (2) three sites near the flood channel where limited non-native and native vegetation removal has occurred (hereinafter Off-channel), and (3) three sites that have been actively restored by planting native vegetation (hereinafter Restoration). Nesting activity was monitored in 84 territories, 4 of which were occupied by single males. Overall, 46 percent of completed nests were successful, and nest success did not differ among the three sites. In 2023, we found that territories in the Channel had greater hatching success per egg compared to Off-channel, but there were no other differences with regard to clutch size, hatching, or fledging success among Channel, Off-channel, and Restoration sites. Overall breeding success and productivity were slightly higher in 2023 than in 2022, with pairs fledging an average±standard deviation of 3.1±2.1 young and 79 percent of pairs fledging at least 1 young.</p><p>To investigate if the cumulative years of treatment had an effect on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort (the number of nest attempts) or the number of vireo fledglings per pair produced in 2023. Similarly, we did not detect an effect of Treatment Index on the daily survival rate (DSR) of nests.</p><p>Analysis of vegetation data collected at vireo nests from 2006 to 2023 did not reveal an effect of vegetation cover at the nest on DSR. We did find, however, that Channel nests were placed higher in and farther from the edge of the host plant than Off-channel nests. Within sites, we did not detect any differences in vegetation cover between successful and unsuccessful nests.</p><p>Red/arroyo willow (<i>Salix laevigata</i> or <i>Salix lasiolepis</i>) and mule fat (<i>Baccharis salicifolia</i>) were the species most commonly selected for nesting by vireos in all three site types. Black willow (<i>Salix gooddingii</i>) and sandbar willow (<i>Salix exigua</i>) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (10 and 13 species, respectively) compared to Restoration sites (2 species), although there was limited nesting in Restoration sites in 2023.</p><p>There were 51 vireos banded before the 2023 breeding season that were resighted and identified at the Project Area in 2023. Two of these vireos were originally banded outside of the Project Area, at the Santa Margarita River on MCBCP. Adult birds of known age ranged from 1 to 7 years old. Between 2006 and 2023, survival of males (66±11 percent) was consistently higher than that of females (60±12 percent). First-year birds from 2006 to 2022 had an average annual survival of 15±5 percent.</p><p>First-year dispersal in 2023 averaged 20.2±31.3 kilometers (km), with the longest dispersal (76.3 km) by a female that was recaptured at Wolf Canyon, a tributary to Otay River. From 2007 to 2012, most returning first-year vireos returned to the Project Area, whereas from 2014 to 2016, a greater proportion of returning birds dispersed to areas outside of the Project Area. From 2018 to 2022, the trend shifted, and more first-year vireos returned to the Project Area, except for 2022 when only one out of five first-year vireos returned to the Project Area. This trend continued in 2023: 71 percent of all first-year vireos returned to the Project Area, and 29 percent dispersed to areas outside of the Project Area (San Diego River and Wolf Canyon).</p><p>Most of the returning adult male vireos showed strong between-year fidelity to their previous territories. In 2023, 94 percent of males (34/36) occupied a territory that they had defended in 2022 (within 100 meters [m]). In 2023, 33 percent of females (1/3) detected returned to a territory they occupied in 2022. The average between-year movement for returning adult vireos was 0.2±0.9 km. The amount of treatment at adults’ 2022 territories did not affect the distance adults moved to their 2023 territories.</p><p>We completed four protocol surveys for the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>; hereinafter flycatcher) at the Project Area between May 15 and July 21, 2023. In 2023, four transient Willow Flycatchers were detected in the Project Area. Two transients were detected in Reach 1, one in Reach 3a, and one in Whelan Mitigation. No resident flycatchers were documented in the Project Area in 2023.</p><p>A total of 46 vegetation transects (516 points) were sampled in the Project Area in 2023. There were 71 percent (368/516) of points located in the Channel, and 22 percent (113/516) were in Upper Pond. The remaining 7 percent (35/516) of points were at the Whelan Restoration site. Foliage cover below 1 m was higher at the Channel points and Upper Pond compared to Whelan Restoration. From 1 to 3 m, foliage cover was similar at all 3 sites; however, above 3 m foliage cover was higher in the Channel compared to the Upper Pond and Whelan Restoration sites. Average canopy height was higher in the Channel (5.6±3.8 m) compared to Upper Pond (4.7±2.7 m) and Whelan Restoration (4.0±2.0 m). From 2006 to 2023, total foliage cover declined from 2 to 3 m and above 6 m in the Channel, in contrast to Upper Pond and Whelan Restoration, where little directional change in vegetation cover has occurred and where vegetation cover has largely recovered to 2006 levels. Within the Channel, the steepest declines occurred between 2009 and 2013 and between 2014 and 2016. Since 2016, we observed an increase in foliage cover, largely herbaceous, between 0 and 2 m within the Channel. Although increases were observed at all height classes after 2016, percentage cover has remained below levels measured before 2009.</p><p>We sampled vegetation at 45 vireo nests and 45 random plots (territory plots) within territories in the Channel and Upper Pond after the 2023 breeding season. Vireos in the Channel established territories in areas with significantly more cover from 3 to 7 m but less cover below 1 m relative to the available habitat. Within territories, Channel vireos selected nest sites largely at random, but with significantly less foliage cover from 4 to 5 m. Vireos at Upper Pond established territories in areas with significantly more foliage cover below 4 m and from 5 to 6 m relative to available habitat. Within territories, Upper Pond vireos also selected nest sites at random except for a preference for sites with significantly less foliage cover below 1 m.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241040","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Houston, A., Allen, L.D., Mendia, S.M., and Kus, B.E., 2024, Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding activities and habitat use—2023 Annual report: U.S. Geological Survey Open-File Report 2024–1040, 77 p., https://doi.org/10.3133/ofr20241040.","productDescription":"x, 77 p.","numberOfPages":"77","onlineOnly":"Y","ipdsId":"IP-163418","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":432608,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241040/full"},{"id":432607,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1040/images"},{"id":432606,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.xml"},{"id":432605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1040/covrthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusion</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257286,"text":"sim3523 - 2024 - Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","interactions":[],"lastModifiedDate":"2025-08-14T19:12:11.272365","indexId":"sim3523","displayToPublicDate":"2024-08-15T08:38:34","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3523","displayTitle":"Estimation of Reservoir Storage Capacity and Geomorphic Change Detection Analysis From a Multibeam Bathymetric Survey of Randy Poynter Lake, Rockdale County, Georgia","title":"Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","docAbstract":"<p><span>Rockdale County Department of Water Resources has a directive to update estimates of the reservoir storage capacity of Randy Poynter Lake, located in northern Georgia, and to assess recent sedimentation and associated storage capacity loss. In 2022, the U.S. Geological Survey completed a multibeam bathymetric survey of Randy Poynter Lake to update storage capacity estimates and to quantify storage capacity change since the first multibeam bathymetric survey in 2012 in consideration of estimated errors inherent to bathymetric surveys. Data from the 2022 survey were used to generate contours of the reservoir as well as compute storage capacity at regular increments of water-surface elevation. Storage capacity comparisons between 2012 and 2022 at Randy Poynter Lake show minimal changes that are within the estimated uncertainties, with consistent or slightly increased storage capacities observed at most water-surface elevations and reductions observed at the remaining few elevations. Comparison of the multibeam bathymetric data collected in 2012 with data collected in 2022 further allowed for a formal geomorphic change detection analysis to map, quantify, and infer causation of morphological change over time with respect to a level of detectable change. The volume change in Randy Poynter Lake for the decade between 2012 and 2022 was slightly net-depositional and within the estimated uncertainty. The spatial distribution of sediment deposition was primarily concentrated in the northern portion of the lake, where the principal tributary flows into Randy Poynter Lake. The results of the geomorphic change analysis were used to further understand the future implications to storage capacity change. Despite the challenges of confirming systematic biases because of uncertainties exceeding the observed changes, insights from the study help predict long-term reservoir sediment accumulation, indicating a reservoir half-life extending about 650 years from 2022 on the basis of the current sediment yield estimates.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3523","issn":"2329-132X","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Whaling, A.R., and Bolton, W.J., 2024, Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia (ver. 1.1, 2025): U.S. Geological Survey Scientific Investigations Map 3523, 2 sheets, https://doi.org/10.3133/sim3523.","productDescription":"2 Sheets: 47.00 x 32.23 inches; 2 Data Releases","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-157799","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":494128,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118630.htm","linkFileType":{"id":5,"text":"html"}},{"id":432656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3523/sim3523.pdf","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3523"},{"id":432655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3523/coverthb2.jpg"},{"id":432657,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G8HZTY","text":"USGS Data Release","linkHelpText":"Watershed characteristics and streamwater constituent load data, models, and estimates for 15 watersheds in Gwinnett County, Georgia, 2000–2021"},{"id":432658,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G9YVDU","text":"USGS Data Release","linkHelpText":"Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia"},{"id":489473,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3523/sim3523_verHist.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 15, 2024; Version 1.1: June 03, 2025","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnk\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Geomorphic Change Detection</li><li>Uncertainty</li><li>Storage Capacity Change</li><li>Potential Implications to Reservoir Life</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-15","revisedDate":"2025-06-03","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Whaling, A.R. 0000-0003-1375-8323","orcid":"https://orcid.org/0000-0003-1375-8323","contributorId":342233,"corporation":false,"usgs":true,"family":"Whaling","given":"A.R.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolton, W.J. 0000-0002-5120-2695","orcid":"https://orcid.org/0000-0002-5120-2695","contributorId":342234,"corporation":false,"usgs":true,"family":"Bolton","given":"W.J.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257483,"text":"70257483 - 2024 - Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","interactions":[],"lastModifiedDate":"2024-08-16T12:21:45.4335","indexId":"70257483","displayToPublicDate":"2024-08-15T07:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","docAbstract":"<p class=\"abstract_block\">Sea otters<span>&nbsp;</span><i>Enhydra lutris</i><span>&nbsp;</span>are vital keystone predators throughout the North Pacific that were nearly extirpated during the maritime fur trade. Recovery of southern sea otters<span>&nbsp;</span><i>E. l. nereis</i><span>&nbsp;</span>has proceeded slowly, with much of their historical range remaining unoccupied, resulting in reduced ecosystem functioning. Numerous studies have used foraging metrics to assess the population status of southern sea otters throughout their current range, but little is known about the northern range extent, where a stall in expansion has limited recovery. Thus, we collected census and foraging data of sea otters at Año Nuevo State Park, California, from 2019 to 2021 to determine sea otter abundance, diet composition, diet diversity, and average energy intake rate at the northern range edge. We then assessed regional population status by comparing values from Año Nuevo with previously collected data from other locations in California, including high-density, range center sites and low-density, range periphery sites. We found that sea otter density at Año Nuevo was greater than surrounding areas at the northern range periphery, and the average (±95% CI) energy intake (9.51 ± 0.91 kcal min<sup>-1</sup>) more closely resembled values observed at high-density sites. Further, dietary diversity (using the Shannon-Wiener index,<span>&nbsp;</span><i>H</i>) was intermediate between previously studied high- and low-density populations (<i>H</i><span>&nbsp;</span>= 1.81), with crabs making up the largest proportion of the diet (~56%). Overall, this study highlights possible effects of occupation time and range stagnation, identifies unique aspects of the prey resource base at Año Nuevo, and provides insight into the ongoing lack of northern range expansion.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01348","usgsCitation":"Lyon, S., Tomoleoni, J.A., Yee, J.L., Fujii, J., and Thometz, N.M., 2024, Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics: Endangered Species Research, v. 54, p. 383-394, https://doi.org/10.3354/esr01348.","productDescription":"12 p.","startPage":"383","endPage":"394","ipdsId":"IP-165429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01348","text":"Publisher Index Page"},{"id":432853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Año Nuevo State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyon, Sophia N.","contributorId":342938,"corporation":false,"usgs":false,"family":"Lyon","given":"Sophia N.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":910517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thometz, Nicole M.","contributorId":342939,"corporation":false,"usgs":false,"family":"Thometz","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257632,"text":"70257632 - 2024 - Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","interactions":[],"lastModifiedDate":"2024-12-10T15:13:27.024267","indexId":"70257632","displayToPublicDate":"2024-08-15T07:02:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Acoustic surveys are important for fish stock assessments, but fish responses to survey vessels can bias acoustic estimates. We leveraged quiet uncrewed surface vessels (USVs) to characterize potential bias in acoustic surveys. Five conventional motorized ships overtook USVs from astern over 2 km transects at night in Lake Superior in 2022. We examined the difference in acoustic backscatter, average target depth, and average target strength (TS) between USV and motorized vessels. Although sound level measurements from the motorized vessels sometimes exceeded recommendations for scientific vessels, we did not detect differences in acoustic measures among survey vessels. However, the USVs recorded 2 dB higher acoustic backscatter and TS than motorized vessels, leading to ~15% higher fish densities with drones when using in situ TS and echo integration. Differences in fish density would increase to 30-60% if a standard TS value was applied. Target depth did not differ between USVs and motorized ships. These results are consistent with a change in orientation but not depth of insonified fish and limited horizontal avoidance of motorized survey vessels.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0087","usgsCitation":"Evans, T.M., Rudstam, L.G., Sethi, S.A., Yule, D.L., Warner, D., Farha, S., Barnard, A.R., Dufour, M.R., O’Brien, T.P., Nasworthy, K., Harding, I., Ray, B.A., Isaac, E., Blankenheim, J., Blair, H.B., Watkins, J.M., Senczyszyn, S.A., Roberts, J., and Esselman, P., 2024, Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 12, p. 1740-1851, https://doi.org/10.1139/cjfas-2024-0087.","productDescription":"12 p.","startPage":"1740","endPage":"1851","ipdsId":"IP-163912","costCenters":[{"id":191,"text":"Colorado Water Science 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,{"id":70257196,"text":"sir20245072 - 2024 - Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","interactions":[],"lastModifiedDate":"2024-08-15T14:58:29.532097","indexId":"sir20245072","displayToPublicDate":"2024-08-15T06:48:21","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5072","displayTitle":"Water-Quality Constituent Concentrations and Loads Computed Using Real-Time Water-Quality Data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","title":"Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","docAbstract":"<p>Milford Lake, the largest reservoir by surface area in Kansas, has had confirmed harmful algal blooms every summer since reporting began in 2011, except 2018–19. Milford Lake has been listed as impaired and designated hypereutrophic under section 303(d) of the 1972 Clean Water Act. In 2014, the Kansas Department of Health and Environment established a total maximum daily load for eutrophication and dissolved oxygen impairments. In 2018, the Natural Resources Conservation Service funded the Regional Conservation Partnership Program for the Milford Lake Watershed to focus on best management practices in the Lower Republican River Basin. The U.S. Geological Survey, in cooperation with the Kansas Water Office, completed this study to assess and quantify water-quality constituent concentrations and loads for total nitrogen (TN), total phosphorus (TP), and suspended sediment (SS) using previously published models for the Republican River near Clay Center, Kansas (U.S. Geological Survey station 06856600), about 15 miles upstream from Milford Lake, during August 1, 2018, through July 31, 2023. TN, TP, and SS concentrations and loads were monitored because of their relation to water supply and water-quality issues in Milford Lake, including nutrient and sediment transport, taste-and-odor events, potentially toxic cyano-harmful algal bloom events, and subsequent downstream transport of contaminants. Data from this report can be used to evaluate changing conditions, provide science-based information for decision making, and help meet regulatory requirements.</p><p>The study mean annual loads for TN and TP were greater than the reported mean annual total maximum daily load and exceeded the watershed reduction goals as well as Kansas nonpoint source reduction goals defined by the Watershed Restoration and Protection Strategy for the Lower Republican watershed. TN and TP annual loads during 2019–20 were greater than the defined mean annual total maximum daily load. During 2022, TN and TP annual loads were less than the Kansas nonpoint source reduction goal and during 2023 were less than the watershed reduction goal. SS loads were less than the mean annual sedimentation rate computed from the total maximum daily load for the entirety of the study period, and the study mean annual load was 72 percent less than the designed annual reservoir sedimentation rate for Milford Lake.</p><p>Data collected during the study period represented a wide range of streamflow and water-quality conditions at the Clay Center site, ranging from low-flow with less frequent runoff during 2023 to high-flow with frequent runoff during 2018. Nutrient reduction goals were only met in the final 2 years of the study period when annual mean flow conditions were lower than normal, indicating that goals may be unattainable during average or high-flow conditions. In all years except 2019, the annual mean SS load was less than the 20-year sediment load reduction target. Although annual SS loads at the Clay Center site generally decreased over time, corresponding reductions in annual streamflow indicated that these reductions may primarily be related to less frequent runoff from the upstream basin. Continued water-quality monitoring and tracking of best management practices are necessary to understand the success of Regional Conservation Partnership Program efforts to reduce nutrient transport in the Milford Lake Watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245072","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., and Abel, J.R., 2024, Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023: U.S. Geological Survey Scientific Investigations Report 2024–5072, 21 p., https://doi.org/10.3133/sir20245072.","productDescription":"Report: v, 21 p.; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160554","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":432611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5072/coverthb.jpg"},{"id":432612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5072"},{"id":432613,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.XML"},{"id":432614,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5072/images/"},{"id":432615,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245072/full"},{"id":432616,"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"}],"country":"United States","state":"Kansas","otherGeospatial":"Clay Center, Republican River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.25,\n              40\n            ],\n            [\n              -98.25,\n              39\n            ],\n            [\n              -96.5,\n              39\n            ],\n            [\n              -96.5,\n              40\n            ],\n            [\n              -98.25,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Background</li><li>Purpose and Scope</li><li>Methods</li><li>Continuous and Discretely Monitored Water-Quality Variables</li><li>Computed Concentrations, Loads, and Comparison to Watershed Goals</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental data for discrete water-quality samples collected at the Republican River near Clay Center, Kansas</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abel, Justin R. 0000-0003-0191-8000 jabel@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-8000","contributorId":250679,"corporation":false,"usgs":true,"family":"Abel","given":"Justin","email":"jabel@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257747,"text":"70257747 - 2024 - Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","interactions":[],"lastModifiedDate":"2024-08-26T11:56:03.560648","indexId":"70257747","displayToPublicDate":"2024-08-14T06:53:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","docAbstract":"<div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Characterizing the population density of species is a central interest in ecology. Eastern North America is the global hotspot for biodiversity of plethodontid salamanders, an inconspicuous component of terrestrial vertebrate communities, and among the most widespread is the eastern red-backed salamander,<span>&nbsp;</span><i>Plethodon cinereus</i>. Previous work suggests population densities are high with significant geographic variation, but comparisons among locations are challenged by lack of standardization of methods and failure to accommodate imperfect detection. We present results from a large-scale research network that accounts for detection uncertainty using systematic survey protocols and robust statistical models. We analysed mark–recapture data from 18 study areas across much of the species range. Estimated salamander densities ranged from 1950 to 34 300 salamanders ha<sup>−1</sup>, with a median of 9965 salamanders ha<sup>−1</sup>. We compared these results to previous estimates for<span>&nbsp;</span><i>P. cinereus</i><span>&nbsp;</span>and other abundant terrestrial vertebrates. We demonstrate that overall the biomass of<span>&nbsp;</span><i>P. cinereus</i>, a secondary consumer, is of similar or greater magnitude to widespread primary consumers such as white-tailed deer (<i>Odocoileus virginianus</i>) and<span>&nbsp;</span><i>Peromyscus</i><span>&nbsp;</span>mice, and two to three orders of magnitude greater than common secondary consumer species. Our results add empirical evidence that<span>&nbsp;</span><i>P. cinereus</i>, and amphibians in general, are an outsized component of terrestrial vertebrate communities in temperate ecosystems.</p></div></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2024.0033","usgsCitation":"Campbell Grant, E.H., Fleming, J.E., Bastiaans, E., Brand, A., Brooks, J., Devlin, C., Epp, K., Evans, M., Fisher-Reid, M., Gratwicke, B., Grayson, K., Haydt, N., Hernandez-Pacheco, R., Hocking, D.J., Hyde, A., Losito, M., MacKnight, M., Matlaga, T., Mead, L., Munoz, D.J., Peterman, W.B., Puza, V., Shafer, C., Sterrett, S., Sutherland, C., Thompson, L.M., Warwick, A.R., Wright, A.D., Yurewicz, K., and Miller, D., 2024, Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests: Biology Letters, v. 20, no. 8, https://doi.org/10.1098/rsbl.2024.0033.","ipdsId":"IP-160646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494430,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2024.0033","text":"External Repository"},{"id":433152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastiaans, Elizabeth","contributorId":343640,"corporation":false,"usgs":false,"family":"Bastiaans","given":"Elizabeth","email":"","affiliations":[{"id":82135,"text":"Department of Biology, State University of New York - College at Oneonta,","active":true,"usgs":false}],"preferred":false,"id":911573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Jacey","contributorId":343641,"corporation":false,"usgs":false,"family":"Brooks","given":"Jacey","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devlin, Catherine","contributorId":343642,"corporation":false,"usgs":false,"family":"Devlin","given":"Catherine","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Epp, Kristen","contributorId":343643,"corporation":false,"usgs":false,"family":"Epp","given":"Kristen","email":"","affiliations":[{"id":82139,"text":"Department of Biology, Eastern Connecticut State University,","active":true,"usgs":false}],"preferred":false,"id":911577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Matt","contributorId":343644,"corporation":false,"usgs":false,"family":"Evans","given":"Matt","email":"","affiliations":[{"id":82140,"text":"National Zoo and Conservation Biology Institute, Department of Herpetology,","active":true,"usgs":false}],"preferred":false,"id":911578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher-Reid, M. Caitlin","contributorId":343645,"corporation":false,"usgs":false,"family":"Fisher-Reid","given":"M. Caitlin","affiliations":[{"id":82141,"text":"Department of Biological Sciences, Bridgewater State University","active":true,"usgs":false}],"preferred":false,"id":911579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gratwicke, Brian 0000-0002-7332-4060","orcid":"https://orcid.org/0000-0002-7332-4060","contributorId":329542,"corporation":false,"usgs":false,"family":"Gratwicke","given":"Brian","email":"","affiliations":[{"id":78635,"text":"Smithsonian’s National Zoo and Conservation Biology Institute, Center for Species Survival, USA","active":true,"usgs":false}],"preferred":false,"id":911580,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grayson, Kristine","contributorId":303669,"corporation":false,"usgs":false,"family":"Grayson","given":"Kristine","email":"","affiliations":[{"id":65870,"text":"University of Richmond; Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":911581,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haydt, Natalie","contributorId":343646,"corporation":false,"usgs":false,"family":"Haydt","given":"Natalie","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911582,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hernandez-Pacheco, Raisa","contributorId":343647,"corporation":false,"usgs":false,"family":"Hernandez-Pacheco","given":"Raisa","email":"","affiliations":[{"id":82142,"text":"University of Richmond; California State University","active":true,"usgs":false}],"preferred":false,"id":911583,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hocking, Daniel J.","contributorId":214288,"corporation":false,"usgs":false,"family":"Hocking","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911584,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hyde, Amanda","contributorId":343648,"corporation":false,"usgs":false,"family":"Hyde","given":"Amanda","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911585,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Losito, Michael","contributorId":343649,"corporation":false,"usgs":false,"family":"Losito","given":"Michael","email":"","affiliations":[{"id":82143,"text":"Department of Fisheries, Wildlife and Environmental Science SUNY","active":true,"usgs":false}],"preferred":false,"id":911586,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"MacKnight, Maisie","contributorId":343650,"corporation":false,"usgs":false,"family":"MacKnight","given":"Maisie","email":"","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn 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W.","contributorId":332095,"corporation":false,"usgs":false,"family":"Miller","given":"David A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":911600,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70257165,"text":"sir20245043 - 2024 - Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","interactions":[],"lastModifiedDate":"2024-08-21T18:00:17.340563","indexId":"sir20245043","displayToPublicDate":"2024-08-13T16:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5043","displayTitle":"Wildland Fire Effects on Sediment, Salinity, and Selenium Yields in a Basin Underlain by Cretaceous Marine Shales near Rangely, Colorado","title":"Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","docAbstract":"<p>Understanding and quantifying soil erosion from rangelands is a high priority for land managers, especially in areas underlain by Cretaceous Mancos Shale, which is a natural source of sediment, salinity, and selenium to surface waters in many areas of western Colorado and eastern Utah. The purpose of this report is to present the results of a U.S. Geological Survey study that assessed sediment, salinity, and selenium yields after the Dead Dog wildfire (fire began June 11, 2017) in northwestern Colorado. Two methodologies were used to quantify erosion, with different data requirements and analytical complexity. The first approach was the use of a process-based erosion model, the Watershed Erosion Prediction Project, which uses inputs of climate, topography, vegetation, and soils data from existing datasets to predict erosion, making this approach easily extensible to other areas. The second approach required more complex data collection and was used to measure erosion and deposition by differencing digital elevation models created from uncrewed aerial vehicle imagery collected in 2016 (pre-fire) and 2021 (post-fire). Sediment, salinity, and selenium yields were calculated from the volumetric estimates of erosion from both methods, and a discussion of factors that may have contributed to overall findings, including vegetation, fire effects, and soil characteristics, is included.</p><p>The two approaches yielded different outputs. Results from the Watershed Erosion Prediction Project model indicated that almost no erosion occurred after the Dead Dog fire. However, morphological changes in the study basin after the Dead Dog fire were visible in the pre- and post-fire imagery and measured in the digital elevation model differencing technique, with net erosion occurring in channel and landscape extents, though calculated erosion rates and salinity and selenium yields were relatively small. Visible and measured morphological changes consisted primarily of incision and deposition within stream channels and rill incision and expansion on steeper slopes. Widespread sheet erosion was not evident. Much of the new erosion originated within, and immediately below, previously vegetated areas that were then burned by the wildfire. Greater erosion rates and salinity and selenium yields were measured in the channel extent relative to the landscape extent. Calculated erosion rates ranged from 0.24 to 0.45 megagrams per hectare per year. These results indicate that the Dead Dog fire resulted in increased erosion in the study basin, yet these effects were relatively small based on the overall magnitude of modeled and measured erosion from the Watershed Erosion Prediction Project and the digital elevation model differencing technique. Minimal erosion in the basin is likely due to local site characteristics typical of soils derived from Mancos Shale, including the presence of robust physical crusts and biological soil crusts, and limitations of the methods based on data availability. Focusing uncrewed aerial vehicle flights on key areas (individual steep slopes, high-intensity burn areas, specific stream reaches) could likely increase understanding of erosional process with less effort and error than doing landscape-level flights.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245043","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Day, N.K., Preston, T.M., and Longley, P.C., 2024, Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5043, 31 p., https://doi.org/10.3133/sir20245043.","productDescription":"Report: vi, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-144341","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":433027,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245043/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5043"},{"id":432498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5043/coverthb.jpg"},{"id":432499,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.pdf","text":"Report","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5043"},{"id":432500,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91KRAAD","text":"USGS data release","linkHelpText":"Orthoimagery, digital elevation, digital terrain, final surface, and vegetation classification models for four stream catchments in western Colorado 2016"},{"id":432501,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZA125K","text":"USGS data release","linkHelpText":"Erosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV"},{"id":432610,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.xml"},{"id":432609,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5043/images"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/co-water/\" data-mce-href=\"https://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Approach and Methods </li><li>Assessment of Sediment, Salinity, and Selenium Yields</li><li>Synthesis of Results and Next Steps</li><li>Summary</li><li>Acknowledgments </li><li>References Cited</li></ul>","publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257042,"text":"sir20245022 - 2024 - Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","interactions":[],"lastModifiedDate":"2026-02-03T18:05:12.063702","indexId":"sir20245022","displayToPublicDate":"2024-08-13T11:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5022","displayTitle":"Monitoring and Simulation of Hydrology, Suspended Sediment, and Nutrients in Selected Tributary Watersheds of Lake Erie, New York","title":"Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative, collected water-quality samples in nine selected New York tributaries to Lake Erie, computed estimates of suspended sediment and nutrient loads using the R scripting package rloadest and used the Soil and Water Assessment Tool (SWAT) to simulate hydrology and suspended sediment and nutrient loads from these tributaries. This project was undertaken to better understand the water quality of New York’s inputs into eastern Lake Erie.</p><p>Water-quality samples for suspended sediment, nitrogen, and phosphorus were collected at 19 sampling sites in the Lake Erie Basin in New York. Daily and monthly suspended sediment and nutrient loads were computed with regressions of streamflow and suspended sediment and nutrient concentrations using rloadest.</p><p>SWAT models of nine watersheds were created using publicly available data; and the loads calculated by rloadest. Twenty-six SWAT model scenarios were created to explore the effects that best management practices (BMPs; 21 scenarios), point source discharges (4 scenarios), and green infrastructure (1 scenario) can have on the water quality of the nine tributaries to Lake Erie. BMP scenarios for the watershed models included combinations of agricultural BMPs applied at varying implementation levels across the study watersheds, including cover crops, reduced tillage, nutrient management plans, and filter strips. The BMP scenarios showed small reductions of total nitrogen and total phosphorus. The scenarios have variable suspended sediment load results, with both increases and decreases of sediment modeled. The point source scenarios result in lower total phosphorus loads. The green infrastructure scenario shows only minimal reduction of suspended sediment and nutrient loads from the Buffalo River watershed but shows substantial reductions locally.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245022","collaboration":"Prepared in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative","usgsCitation":"Merriman, K.R., Fisher, B.N., Nystrom, E.A., Bunch, A.R., Welk, R.J., and Kappel, W.M., 2024, Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York: U.S. Geological Survey Scientific Investigations Report 2024–5022, 152 p., https://doi.org/10.3133/sir20245022.","productDescription":"Report: xii, 152 p.; 2 Data Releases","numberOfPages":"152","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-142479","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":432349,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5022/images/"},{"id":432347,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5022 HTML"},{"id":432346,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5022/sir20245022.pdf","text":"Report","size":"49.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5022 PDF"},{"id":432345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5022/coverthb.jpg"},{"id":432350,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N6IQZT","text":"USGS data release","linkHelpText":"Data and rloadest models used to estimate sediment and nutrient loads in selected New York tributaries to eastern Lake Erie"},{"id":499450,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117172.htm","linkFileType":{"id":5,"text":"html"}},{"id":432351,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U2IF5I","text":"USGS data release","linkHelpText":"SWAT Model Archive for Simulation of Hydrology, Suspended Sediment and Nutrients in Selected Tributary Watersheds of Lake Erie, New York"},{"id":432348,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5022/sir20245022.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5022 XML"}],"country":"United States","state":"New York","otherGeospatial":"Lake Erie watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n     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and Validation</li><li>SWAT Model Results</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sensitivity Analysis of Soil and Water Assessment Tool Model Parameters</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Merriman, Katherine R. 0000-0002-1303-2410","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":203352,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Benjamin N. 0000-0003-1308-1906","orcid":"https://orcid.org/0000-0003-1308-1906","contributorId":220916,"corporation":false,"usgs":true,"family":"Fisher","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257115,"text":"dr1199 - 2024 - Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","interactions":[],"lastModifiedDate":"2026-01-27T17:33:44.344417","indexId":"dr1199","displayToPublicDate":"2024-08-13T11:41:16","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1199","displayTitle":"Developing Version 2 of Satellite-Estimated Precipitation Monthly Reports for Selected Locations in the Republic of the Marshall Islands","title":"Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","docAbstract":"The Republic of the Marshall Islands (RMI; also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. The study objectives and methods were originally presented in U.S. Geological Survey Data Report 1181 and are summarized herein. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. In 2022–23, a team of U.S. Geological Survey scientists, and managers of natural resources and natural hazards in the RMI, used Integrated Multi-satellitE Retrievals for Global Precipitation Measurement satellite estimates of precipitation to develop content and a template for timely monthly reporting of precipitation for 23 inhabited atolls and islands. After a year of report production and user feedback, the team incorporated lessons learned and revised user priorities to update the content and layout of the template. This data report describes the collaboration process and results of revising the report content and layout into version 2 of the monthly satellite-estimated precipitation report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1199","usgsCitation":"Senay, G.B., Helweg, D.A., Kagone, S., Cecere, T., Eastmond, T., Koch, A., Nelson, K., and Jack, R., 2024, Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands: U.S. Geological Survey Data Report 1199, 5 p., https://doi.org/10.3133/dr1199.","productDescription":"Repoort: v, 5 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165909","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":499109,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117173.htm","linkFileType":{"id":5,"text":"html"}},{"id":432440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1199/full"},{"id":432439,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1199/images/"},{"id":432434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1199/coverthb.jpg"},{"id":432441,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J1426","text":"USGS data release","linkHelpText":"Monthly satellite-estimated precipitation reports for the Republic of the Marshall Islands (ver. 2.0, February 2024)"},{"id":432436,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.XML"},{"id":432435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.pdf","text":"Report","size":"793 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1199"}],"otherGeospatial":"Marshall Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              162.8861369517378,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              13.791877936345344\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/eros\" href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":909461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helweg, David A. 0000-0002-8640-9856","orcid":"https://orcid.org/0000-0002-8640-9856","contributorId":221111,"corporation":false,"usgs":true,"family":"Helweg","given":"David A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":909462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":909463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cecere, Thomas 0000-0001-5254-8404 tcecere@usgs.gov","orcid":"https://orcid.org/0000-0001-5254-8404","contributorId":221727,"corporation":false,"usgs":true,"family":"Cecere","given":"Thomas","email":"tcecere@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":909464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eastmond, Tiare","contributorId":304080,"corporation":false,"usgs":false,"family":"Eastmond","given":"Tiare","email":"","affiliations":[{"id":25469,"text":"U.S. Agency for International Development","active":true,"usgs":false}],"preferred":false,"id":909469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Amy","contributorId":304081,"corporation":false,"usgs":false,"family":"Koch","given":"Amy","email":"","affiliations":[{"id":65354,"text":"USDA Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":909470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":909465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randon, Jack","contributorId":342007,"corporation":false,"usgs":false,"family":"Randon","given":"Jack","email":"","affiliations":[{"id":65963,"text":"Ministry of Natural Resources and Commerce, Republic of the Marshall Islands","active":true,"usgs":false}],"preferred":false,"id":909471,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257296,"text":"70257296 - 2024 - Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","interactions":[],"lastModifiedDate":"2024-10-30T21:41:50.825406","indexId":"70257296","displayToPublicDate":"2024-08-13T06:49:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","docAbstract":"<p>Severe fire on steep slopes increases stormwater runoff and the occurrence of runoff-initiated debris flows. Predicting locations of debris flows and their downstream effects on trunk streams requires watershed-scale high-resolution topographic data. Intense precipitation in July and September 2013 following the June 2011 Las Conchas Fire in the Jemez Mountains, New Mexico, led to widespread debris flows in the watershed of Rito de los Frijoles. We differenced lidar Digital Elevation Models (DEMs) collected in 2010 and 2016 to map subwatersheds experiencing debris flows and changes in elevation of the trunk stream. Debris flow occurrence was well predicted by previous assessments of debris-flow hazard; debris flows occurred in 7 of 9 sub-basins where the debris-flow hazard was above 60% for the 25-year rainfall event, and in 0 of 21 basins where debris flow hazard was less than 60%. Debris flows resulted in fan deposition at the confluence with the trunk stream followed by transport during three documented floods. The bed of the 22 km trunk stream increased in elevation by a mean of 0.29 m, but the local change in thalweg elevation was controlled by inputs of water and sediment and longitudinal variation in gradient. Downstream of the mouths of tributaries with debris flows, the thalweg of the trunk stream rose as much as 2&nbsp;m. Downstream of the mouths of tributaries without debris flows the thalweg of the main stem degraded by as much as 2&nbsp;m, mobilizing sediment that was then deposited further downstream where the gradient of the trunk stream decreases. In conclusion, the transport of sediment generated by debris flows was predictably related to spatial variation in sediment supply, discharge and gradient.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5964","usgsCitation":"Friedman, J.M., Tillery, A.C., Alfieri, S.J., Skaggs, E.R., Shafroth, P., and Allen, C., 2024, Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA: Earth Surface Processes and Landforms, v. 49, no. 13, p. 4263-4274, https://doi.org/10.1002/esp.5964.","productDescription":"12 p.; Data Release","startPage":"4263","endPage":"4274","ipdsId":"IP-156621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":499236,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5964","text":"Publisher Index Page"},{"id":434915,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RFRU9T","text":"USGS data release","linkHelpText":"Elevation change in the watershed of Rito de los Frijoles, Bandelier National Monument, New Mexico from 2010 to 2016"},{"id":432752,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfieri, Samuel J.","contributorId":329742,"corporation":false,"usgs":false,"family":"Alfieri","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":909905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D.","contributorId":289211,"corporation":false,"usgs":false,"family":"Allen","given":"Craig D.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256978,"text":"tm6A64 - 2024 - Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","interactions":[],"lastModifiedDate":"2024-08-12T15:36:25.638887","indexId":"tm6A64","displayToPublicDate":"2024-08-12T11:18:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A64","displayTitle":"Revision of ModelMuse to Support the Use of PEST Software With MODFLOW and SUTRA Models","title":"Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","docAbstract":"<h1>Executive Summary</h1><p>ModelMuse is a graphical user interface for several groundwater modeling programs. ModelMuse was updated to generate the input files for the parameter estimation software suite PEST. The software is used with MODFLOW or SUTRA models to run PEST-based parameter estimation and display the updated model inputs after parameter estimation. The PEST input files can also be used with the PEST++ version 5 software suite.</p><p>Parameter estimation typically requires defining the parameters being adjusted during calibration and observations for assessing calibration quality. After a parameter is defined in ModelMuse, it can be applied to all or part of a model dataset. Pilot points—a parameterization device that facilitates higher levels of parameterization—can be used to assign spatially variable distributions of model inputs. Parameters can be applied to temporally varying features, such as boundary conditions, by either applying them to all the values in a series in one step or by applying separate parameters to individual members of a series. ModelMuse allows the definition of many observation types from various model output files. For MODFLOW 6 and SUTRA models, new options were added to ModelMuse to allow it to display the changed input after parameter estimation is complete. For MODFLOW–2005 and MODFLOW–NWT models, ModelMuse can import an entire model for visualization. An example illustrates the use of PEST with a MODFLOW 6 model in ModelMuse.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A64","programNote":"Water Availability and Use Science Program","usgsCitation":"Winston, R.B., 2024, Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models: U.S. Geological Survey Techniques and Methods book 6, chap. A64, 56 p., https://doi.org/10.3133/tm6A64.","productDescription":"Report viii, 56 p.; Software Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-134686","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497969,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P132ZP7T","text":"USGS data release","linkHelpText":"ModelMuse version 5.4"},{"id":432191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a64/coverthb.jpg"},{"id":432193,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm6A64/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"TM 6-A64 HTML"},{"id":432194,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 6-A64 XML"},{"id":432192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.pdf","text":"Report","size":"9.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A64 PDF"},{"id":432195,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/06/a64/images/"},{"id":432196,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1AZMVXV","text":"USGS software release","linkHelpText":"- ModelMuse: A Graphical User Interface for Groundwater Models (version 5.3.0.0)"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\">Integrated Modeling and Prediction Division</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston VA, 20192</p><p>Email: <a href=\"mailto:modflow@usgs.gov\" data-mce-href=\"mailto:modflow@usgs.gov\">modflow@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Installing PEST</li><li>Using Parameters With Datasets</li><li>Using PEST Parameters With Model Features</li><li>PEST Calibration Observations</li><li>PEST Control Variables</li><li>Running PEST</li><li>Using SVD-Assist</li><li>Visualizing Residuals</li><li>Visualizing Modified Model Input</li><li>Limitations</li><li>Example</li><li>Summary</li><li>References Cited</li><li>Appendix 1. \"EnhancedTemplateProcessor\"</li><li>Appendix 2. \"Mf6ObsExtractor\"</li><li>Appendix 3. \"Mf2005ObsExtractor\"</li><li>Appendix 4. \"SutraObsExtractor\"</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-12","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":909055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70257571,"text":"70257571 - 2024 - Body mass changes of dabbling and diving ducks wintering in California","interactions":[],"lastModifiedDate":"2024-10-23T16:09:54.735869","indexId":"70257571","displayToPublicDate":"2024-08-12T08:18:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Body mass changes of dabbling and diving ducks wintering in California","docAbstract":"<p><span>Bird body mass is often used as an index of body condition and fluctuates throughout the year in response to environmental conditions and avian life-history events. We examined the body mass of 59,572 ducks representing 13 species (7 dabbling duck species and 6 diving duck species) harvested within the 3 regions of the Central Valley in California, USA (Sacramento Valley, Suisun Marsh, San Joaquin Valley). Data collection occurred in winter during 5 hunting seasons (2014–2015, 2015–2016, 2017–2018, 2018–2019, 2019–2020). For all species, age, and sex classes, the body mass of dabbling ducks varied temporally and was lowest at the end of the hunting season in late January, declining from the beginning of the hunting season in mid-October (northern pintail [</span><i>Anas acuta</i><span>]: −11.4% to −20.4%; northern shoveler [</span><i>Spatula clypeata</i><span>]: −3.5% to −17.3%; cinnamon teal [</span><i>Anas cyanoptera</i><span>]: −5.0% to −17.1%; American wigeon [</span><i>Mareca americana</i><span>]: −6.9% to −12.2%; American green-winged teal [</span><i>Anas carolinensis</i><span>]: −5.9% to −11.9%; mallard [</span><i>Anas platyrhynchos</i><span>]: −1.8% to −9.6%; gadwall [</span><i>Mareca strepera</i><span>]: −2.2% to −8.4%). As expected, adults (after hatch-year) were heavier than immature (hatch-year) birds (within males: 0.6–8.6%; within females: 0.1–6.6%) and males were heavier than females (within adults: 3.1–38.6%; within immatures: 5.4–33.5%) at the end of the hunting season in all species. Within dabbling duck species, body masses did not differ among regions at the beginning of the hunting season but were heavier in the Sacramento Valley (0.5–14.4%) than other areas by the end of the hunting season. In contrast, body masses of diving ducks did not vary substantially during the hunting season or among regions. Diving ducks demonstrated inconsistent changes in mass from the beginning to the end of the season (lesser scaup [</span><i>Aythya affinis</i><span>]: 3.4% to 12.3%; canvasback [</span><i>Aythya valisineria</i><span>]: 5.1% to 6.1%; bufflehead [</span><i>Bucephala albeola</i><span>]: −3.2% to 1.6%; ring-necked duck [</span><i>Aythya collaris</i><span>]: −4.9% to 2.6%; common goldeneye [</span><i>Bucephala clangula</i><span>]: −3.2% to −2.4%; ruddy duck [</span><i>Oxyura jamaicensis</i><span>]: −16.5% to 5.5%). The substantial temporal and spatial differences in dabbling duck body masses suggest that habitat quality (as measured by caloric value of the available food) or quantity may decline during winter and varies regionally within California's Central Valley.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22650","usgsCitation":"Herzog, M.P., Ackerman, J.T., Kohl, J.D., Fettig, B.L., Hartman, C.A., Peterson, S.H., Casazza, M.L., and Fleskes, J.P., 2024, Body mass changes of dabbling and diving ducks wintering in California: Journal of Wildlife Management, v. 88, no. 8, e22650, 44 p.; Data Release, https://doi.org/10.1002/jwmg.22650.","productDescription":"e22650, 44 p.; Data Release","ipdsId":"IP-160170","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439219,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22650","text":"Publisher Index Page"},{"id":434916,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DE5DWE","text":"USGS data release","linkHelpText":"Body Mass of Dabbling and Diving Ducks Harvested in California"},{"id":433659,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ],\n            [\n              -122.14605714076728,\n              38.055035283143305\n            ],\n            [\n              -121.60106551029111,\n              36.66561595429475\n            ],\n            [\n              -119.81149821520499,\n              36.674324107924164\n            ],\n            [\n              -120.11382598668808,\n              39.545986542507165\n            ],\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohl, Jeffrey D. 0000-0003-0921-7460","orcid":"https://orcid.org/0000-0003-0921-7460","contributorId":206562,"corporation":false,"usgs":true,"family":"Kohl","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fettig, Brady Lynn 0000-0002-3124-2606","orcid":"https://orcid.org/0000-0002-3124-2606","contributorId":302106,"corporation":false,"usgs":true,"family":"Fettig","given":"Brady","email":"","middleInitial":"Lynn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257169,"text":"70257169 - 2024 - Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","interactions":[],"lastModifiedDate":"2024-08-13T11:53:07.427511","indexId":"70257169","displayToPublicDate":"2024-08-12T06:49:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Road networks and their associated vehicular traffic disturb many terrestrial systems, but inventories of roads used to assess these effects often focus on the ‘where’ (e.g., local road type and density) and neglect the ‘when’ (e.g., temporal disturbance) or ‘how much’ (e.g., traffic volume disturbance). We developed annual estimates of the ‘when’ (road age) and ‘how much’ (vehicular traffic volume) across 148,172&nbsp;km of highways, arterials, collectors, local, and gravel/graded roads within the state of Wyoming for the years 1986 to 2020 to provide a comprehensive dataset for future ecological investigations. We leveraged a suite of ancillary data on surface disturbances (e.g., oil &amp; gas drilling operations, wind turbines, and open pit mines) with known establishment dates and combined them using graph theory and centrality metrics to estimate the age of each road. We then predicted traffic volume obtained from the Wyoming Department of Transportation for each year across Wyoming using a machine learning method, XGBoost, and a separate set of spatial covariates hypothesized to explain traffic patterns across large regions. We found that 132,476&nbsp;km of these roads likely existed before 1986, but that 16,693&nbsp;km (10.7&nbsp;%) of roads have been built since 1986. Overall, our estimates of road age were 89&nbsp;% accurate when assessed on a subset of 1,330 roads with high-resolution aerial imagery. Mean absolute error for predicting traffic volume ranged from 35.2 to 77.9 annual average daily traffic (aadt) for trucks and 269.2 to 516.7 aadt for all-vehicles across the 35&nbsp;years. We found that mean traffic volume across the state increased by 23&nbsp;% for both truck-only traffic and all vehicular traffic from 1986 to 2020. However, changes in traffic volume have varied substantially across the state (e.g., 100&nbsp;% increases in volume in some areas, while other areas experienced declines of up to 1,786&nbsp;%). We also illustrate a novel application of these data by predicting rates of reported wildlife-vehicle collisions (WVCs) along a subset of roads. We found evidence of a non-linear relationship that supported a threshold hypothesis for WVCs, wherein increases in traffic volume equate to increases in WVCs up to a threshold, above which increases in traffic volume result in declines in WVCs. The data provided here will enable better-informed studies of road ecology to address how roads may affect wildlife populations and key ecosystems across Wyoming.</p></div></div></div><div id=\"reading-assistant\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112410","usgsCitation":"Inman, R.D., Robb, B.S., O’Donnell, M.S., Edmunds, D.R., Holloran, M.J., and Aldridge, C.L., 2024, Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions: Ecological Indicators, v. 116, 112410, 16 p., https://doi.org/10.1016/j.ecolind.2024.112410.","productDescription":"112410, 16 p.","ipdsId":"IP-160311","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439220,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112410","text":"Publisher Index Page"},{"id":434917,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P137JNBY","text":"USGS data release","linkHelpText":"Wyoming road age and traffic volume estimated with machine learning and graph theory"},{"id":432590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robb, Benjamin Seward 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":328990,"corporation":false,"usgs":true,"family":"Robb","given":"Benjamin","email":"","middleInitial":"Seward","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloran, Matthew J 0000-0001-5244-770X","orcid":"https://orcid.org/0000-0001-5244-770X","contributorId":254954,"corporation":false,"usgs":false,"family":"Holloran","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":51367,"text":"Operational Conservation LLC","active":true,"usgs":false}],"preferred":false,"id":909651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":909652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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