In 2020 and 2021, the U.S. Geological Survey, Cape Cod National Seashore of the National Park Service, and Friends of Herring River cooperated to assess nutrient and suspended sediment concentrations across the ocean-estuary boundary at a dike on the Herring River on Chequessett Neck Road in Wellfleet, Massachusetts, that has restricted saltwater inputs by regulating water inflow through three culverts or sluiceways into the watershed for more than 100 years. The dike is slated to be removed, and the purpose of this project was to characterize natural variability of nutrient and suspended sediment concentration during flood tide and ebb tide conditions at the dike based on seasonal and environmental variables. This baseline can be used to assess if removal of the dike is likely to result in measurable changes in water quality.
Data from the current [2023] study were aggregated with previously published data from November 2015 through September 2018 to provide a long-term record. Samples for the current [2023] study were collected from flood and following ebb tides approximately twice per month from June 2020 through December 2021 at fixed time intervals after the beginning of the tides. Samples were analyzed for nitrate plus nitrite, ammonium, total dissolved nitrogen, total nitrogen, orthophosphate, total dissolved phosphorus, total phosphorus, silica, dissolved organic carbon, and suspended sediment. Constituent concentrations generally were lower using fixed time sampling than in previous studies that used flow-weighted composite sampling, except for nitrate plus nitrite and orthophosphate. Concentrations of nitrate plus nitrite, ammonium, total nitrogen, total dissolved nitrogen, silica, and dissolved organic nitrogen generally were higher on the ebb tide than on the flood tide. By contrast, concentrations of orthophosphate, total phosphorus, and total dissolved phosphorus were generally similar between flood and ebb tides.
Most nutrient concentrations except silica and ammonium varied seasonally on flood and ebb tides. Phosphorus species, total nitrogen, and dissolved organic carbon concentrations generally peaked in mid- to late summer and were lowest in winter. For nitrate, the reverse was true. Nutrient concentrations generally were higher on the ebb tide than on the flood tide except for total dissolved phosphorus and total phosphorus where differences between flood and ebb tide depended on season. Constituent concentrations were similar between spring, neap, and midamplitude tides on both the flood and ebb tides.
Nitrate, ammonium, total nitrogen, and silica concentrations were positively correlated with precipitation and runoff. Orthophosphate, total dissolved phosphorus, total phosphorus, and dissolved organic carbon were positively correlated with surface air temperature, downwelling shortwave radiation, and ocean water temperature. Nitrate, ammonium, and silica concentration were negatively correlated with surface air temperature and ocean water temperature. Orthophosphate and total dissolved phosphorus were negatively correlated with runoff. Nitrate plus nitrite, ammonium, and silica concentrations were negatively correlated with downwelling shortwave radiation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235120","collaboration":"Prepared in cooperation with the National Park Service and the Friends of Herring River","usgsCitation":"Huntington, T.G., 2023, Assessment of prerestoration water quality in the Herring River to support adaptive management at the Cape Cod National Seashore: U.S. Geological Survey Scientific Investigations Report 2023–5120, 51 p., https://doi.org/10.3133/sir20235120.","productDescription":"Report: viii, 51 p.; Data Release; 2 Appendixes","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143243","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":501158,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115686.htm","linkFileType":{"id":5,"text":"html"}},{"id":423334,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZU5YHW","text":"USGS data release","linkHelpText":"Data supporting analysis of relations between nutrient concentrations in the Herring River on the ebb tide, near Wellfleet, Massachusetts, and environmental conditions, 2015–2022"},{"id":423333,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120_appendix3.pdf","text":"Appendix 3","size":"96.1 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Alert and Preliminary Guidance for Addressing Nitrogen Contamination of Pall Versapor GWV High-Capacity Capsule Filters"},{"id":423332,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120_appendix2.pdf","text":"Appendix 2","size":"19.3 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Field Methods—Interim Announcement for Change in Capsule-Filter Type, Supplier, and Instructions for Use"},{"id":423331,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5120/images/"},{"id":423330,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120.XML"},{"id":423329,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235120/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5120"},{"id":423328,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120.pdf","text":"Report","size":"6.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5120"},{"id":423327,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5120/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.07530273023929,\n 41.972935131526725\n ],\n [\n -70.07530273023929,\n 41.92351733741285\n ],\n [\n -70.00976667801922,\n 41.92351733741285\n ],\n [\n -70.00976667801922,\n 41.972935131526725\n ],\n [\n -70.07530273023929,\n 41.972935131526725\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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Urban development and associated land-cover and land-use change alters the environment. The continued increase of developed land changes the Earth’s ecosystems and affects the resources provided to society. During the last 40 years, urban population in the United States has increased by more than 6.3 percent, and more than 80 percent of the U.S. population resides in urban areas. One of the changes associated with urbanization is the change of landscape features to structures such as buildings, roads, and other infrastructure that absorb and re-emit the heat of the sun more than natural landscapes such as forests and water bodies. This land-cover transition can result in an urban surface temperature that is higher than in a non-urban area, which is defined as a surface urban heat island (SUHI). A SUHI has a profound effect on the lives of urban residents and can exacerbate the risk of heat-related mortality associated with global climate change. The change of urban landscapes and climate conditions can affect the SUHI intensity. The U.S. Geological Survey (USGS) has developed a dataset of SUHI intensity and change from 1985 to 2020 over 50 cities in the United States using Landsat surface temperature (ST) and land-cover data. The data reveal SUHI spatial distributions and temporal trends in these cities. The 50-city mean SUHI intensity reaches 2.88 degrees Celsius (°C) (5.19 degrees Fahrenheit [°F]) and an average trend of 0.32 °C per decade (0.58 °F per decade). The data also provide spatial distributions of hotspots where annual mean ST is higher than in the surrounding areas that have the same urban land-cover type and high ST that repeated more than 50 percent of the time during 1985–2020 for 50 cities.
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47914 252nd Street
Sioux Falls, SD 57198
Infectious diseases are a major driver of the global amphibian decline. In addition, many factors, including genetics, stress, pollution, and climate change can influence the response to pathogens. Therefore, it is important to be able to evaluate amphibian immunity in the laboratory and in the field. The phytohemagglutinin (PHA) assay is an inexpensive and relatively non-invasive tool that has been used extensively to assess immunocompetence, especially in birds, and more recently in amphibians. However, there is substantial variation in experimental methodology among amphibian PHA studies in terms of species and life stages, PHA doses and injection sites, and use of experimental controls. Here, we compile and compare all known PHA studies in amphibians to identify knowledge gaps and develop best practices for future work. We found that research has only been conducted on a limited number of species, which may not reflect the diversity of amphibians. There is also a lack of validation studies in most species, so that doses and timing of PHA injection and subsequent swelling measurements may not effectively evaluate immunocompetence. Based on these and other findings, we put forward a set of recommendations to make future PHA studies more consistent and improve the ability to utilize this assay in wild populations, where immune surveillance is greatly needed.
","language":"English","publisher":"Oxford Academic Press","doi":"10.1093/conphys/coad090","usgsCitation":"Hawley, L., Smalling, K., and Glaberman, S., 2023, Critical review of the phytohemagglutinin assay for assessing amphibian immunity: Conservation Physiology, v. 11, no. 1, coad090, 23 p., https://doi.org/10.1093/conphys/coad090.","productDescription":"coad090, 23 p.","ipdsId":"IP-150838","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":441422,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad090","text":"Publisher Index Page"},{"id":423506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hawley, Lauren","contributorId":332337,"corporation":false,"usgs":false,"family":"Hawley","given":"Lauren","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":890070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glaberman, Scott 0000-0003-0594-4732","orcid":"https://orcid.org/0000-0003-0594-4732","contributorId":266060,"corporation":false,"usgs":false,"family":"Glaberman","given":"Scott","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":890072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250987,"text":"70250987 - 2023 - Saproxylic beetles' morphological traits and higher trophic guilds indicate boreal forest naturalness","interactions":[],"lastModifiedDate":"2024-01-18T11:56:09.015378","indexId":"70250987","displayToPublicDate":"2023-12-13T05:55:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Saproxylic beetles' morphological traits and higher trophic guilds indicate boreal forest naturalness","docAbstract":"Forests contribute to numerous ecosystem functions and services and contain a large proportion of terrestrial biodiversity, but they are being negatively impaced by anthropogenic activities. Forests that have never been clear-cut and have old growth characteristics, termed “near-natural,” often harbor different and richer species assemblages than managed forests. Alternative management strategies may be able to balance the needs of biodiversity with the demands of forestry, but evaluation efforts are limited by the challenges of measuring biodiversity. Species richness is frequently used as a simple measure of biodiversity, but research indicates that it may not adequately capture community-level changes. Alternatively, trait-based measures of biodiversity may prove to be useful, but research is lacking. In this paper, we use a large dataset that includes 339 obligate saproxylic beetle species collected over a decade in the boreal region throughout southern Norway to: (1) establish if there is a difference in beetle community composition between near-natural and managed forests; and (2) determine which measures of beetle biodiversity best indicate forest naturalness. We arranged the sites in an ordination space and tested for differences in community composition between these forest types. We also tested different measures of biodiversity to determine which were the most predictive of forest naturalness. We found a clear difference in community composition between near-natural and managed forests. Additionally, three measures of biodiversity were most predictive of forest naturalness: proportional abundance of predators, community weighted mean (CWM) of wing length, and CWM of body roundness. The probability that a forest was near-natural increased with the proportional abundance of predators but decreased with CWM wing length and body roundness. Although species richness was higher in near-natural forests, the effect was not significant. Overall, our findings underscore the conservation value of near-natural forests and highlight the potential of several measures of biodiversity for determining forest quality.
The contribution of renewable energy to meet worldwide demand continues to grow. In the United States, wind energy is one of the fastest growing renewable energy sectors. Throughout the Great Plains of the United States, wind facilities often are placed in open landscapes of high-elevation grasslands, and those same habitats support sharp-tailed grouse (Tympanuchus phasianellus), a resident gamebird species. To assess the feasibility of using independently derived, long-term datasets gathered in North Dakota and South Dakota to determine whether wind facilities affected lek metrics, the U.S. Geological Survey obtained six datasets and identified 37 study sites, 9 of which contained wind turbines at varying densities. The association between explanatory variables that described geographic, landscape, and climatic attributes with two primary response metrics that described lekking activity within study sites—lek density (leks per square kilometer) and mean number of males per lek—was examined. The explanatory variables included number of turbines, geographic location, elevation, land-cover attributes available from satellite-derived land-cover data, soil moisture, precipitation, and temperature. Sampling units consisted of township-sized blocks, and lek information came from roadside surveys. Low sample sizes of constructed wind facilities available at the time of analysis did not lend itself to advanced statistical techniques, such as employing a rigorous design structure or assessing accuracy on landscape, geographic, or climatic variables. Given the quality of the data, the estimates obtained for lek density and mean number of males per lek should be considered approximations; however, these estimates have value in designing future studies, such as providing estimates for power analyses to determine sufficient sample size. No strong associations were found between the included explanatory variables and response variables (when these variables were measured as described in this report for township-sized blocks). The strongest association was that lek density and mean number of males per lek increased from South Dakota to North Dakota. Owing to the highly unbalanced distribution of turbine and nonturbine study sites across the study area, the analysis with wind turbines was inconclusive. The constraints under which the analysis can be used and the limitations of the independently derived datasets in attempted applications are discussed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231091","usgsCitation":"Shaffer, J.A., Buhl, D.A., and Newton, W.E., 2023, Assessing the use of long-term lek survey data to evaluate the effect of landscape characteristics and wind facilities on sharp-tailed grouse lek dynamics in North Dakota and South Dakota: U.S. Geological Survey Open-File Report 2023–1091, 33 p., https://doi.org/10.3133/ofr20231091.","productDescription":"Report: v, 33 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154704","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500155,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115688.htm","linkFileType":{"id":5,"text":"html"}},{"id":423438,"rank":3,"type":{"id":31,"text":"Publication 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U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
No abstract available.
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sustainability and conservation, including for energy and water, fisheries and wildlife management, agriculture, and climate change response. The complexities of these problems stem from their large scope and scale, which leads to multiple decision makers, stakeholders, rightsholders, and other entities with potentially competing objectives. These problems often are time limited (e.g., urgent action is required to prevent species’ extinction), involve management interventions over long time scales and delayed responses to management (deep uncertainty), and are impeded by limited resources (funding, capacity, etc.). In this Special Issue on “Decision Analysis to Advance Environmental Sustainability,” we present five case studies of applications of decision analysis to complex problems in environmental sustainability and conservation. These case studies incorporate multiple objectives related to ecological and environmental sustainability, economic and social concerns, and logistics of implementation. They showcase a wide range of tools and applications to these problems. We also provide suggestions for new avenues of research and application of decision analysis to problems of environmental sustainability and conservation, including how to incorporate other decision-making tools into decision analysis processes, how to broaden the reach of decision analysis to other sustainability problems, how to incorporate more stakeholders and rightsholders into the decision process, the potential to incorporate new technology into these processes, identifying more creative alternatives, how to secure more funding, ways to move from decision to action, and how to move beyond status quo to make big transitions necessary to achieve sustainability.
","language":"English","publisher":"Informs","doi":"10.1287/deca.2023.intro.v20.n4","usgsCitation":"Robinson, K.F., Baker, E., Ewing, E., Hemming, V., Kenney, M.A., and Runge, M.C., 2023, Decision analysis to advance environmental sustainability: Decision Analysis, v. 20, no. 4, p. 243-251, https://doi.org/10.1287/deca.2023.intro.v20.n4.","productDescription":"9 p.","startPage":"243","endPage":"251","ipdsId":"IP-156978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441426,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31219/osf.io/qxcaj","text":"External Repository"},{"id":432363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Erin","contributorId":340905,"corporation":false,"usgs":false,"family":"Baker","given":"Erin","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":907664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewing, Elizabeth","contributorId":340906,"corporation":false,"usgs":false,"family":"Ewing","given":"Elizabeth","email":"","affiliations":[{"id":81676,"text":"Ewing Smith Consulting LLC","active":true,"usgs":false}],"preferred":false,"id":907665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemming, Victoria","contributorId":340907,"corporation":false,"usgs":false,"family":"Hemming","given":"Victoria","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":907666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenney, Melissa A.","contributorId":340908,"corporation":false,"usgs":false,"family":"Kenney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":907668,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256411,"text":"70256411 - 2023 - Artisanal mining river dredge detection using SAR: A method comparison","interactions":[],"lastModifiedDate":"2024-08-01T14:14:12.206707","indexId":"70256411","displayToPublicDate":"2023-12-12T09:11:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Artisanal mining river dredge detection using SAR: A method comparison","docAbstract":"Challenges exist in monitoring artisanal and small-scale mining (ASM) activities, given their dynamic and often informal nature. ASM takes form through various techniques and scales, including riverine dredging, which often targets the abundant alluvial gold deposits in South America. Remote sensing offers a solution to improve data collection, regulation, and monitoring of the more mobile and elusive ASM activities and their impacts. Mapping ASM riverine dredges using Synthetic Aperture Radar (SAR) is one of the application areas least explored. Three semi-automated detection approaches using Sentinel-1 SAR are compared on their ability to identify dredges with minimal false positives. The methods are: (i) Search for Unidentified Maritime Objects (SUMO), an established method for large ocean ship detection; and two techniques specifically developed for riverine environments that are introduced in this paper: (ii) a local detection method; and (iii) a global threshold method. A visual interpretation of SAR data with the inclusion of optical high-resolution data are used to generate a validation dataset. Results show it is possible to semi-automatically detect riverine dredge using SAR and that a local detection method provides the best balance between sensitivity and precision and has the lowest risk of error. Future improvements may consider further automation, more discriminatory variables, and analyzing the methods in different environments and at higher spatial resolutions.
","language":"English","publisher":"MDPI","doi":"10.3390/rs15245701","usgsCitation":"Alessi, M.A., Chirico, P.G., and Millones, M., 2023, Artisanal mining river dredge detection using SAR: A method comparison: Remote Sensing, v. 15, no. 24, 5701, 18 p., https://doi.org/10.3390/rs15245701.","productDescription":"5701, 18 p.","ipdsId":"IP-155957","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":441429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15245701","text":"Publisher Index Page"},{"id":432025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"24","noUsgsAuthors":false,"publicationDate":"2023-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Alessi, Marissa Ann 0000-0002-1251-3108","orcid":"https://orcid.org/0000-0002-1251-3108","contributorId":244628,"corporation":false,"usgs":true,"family":"Alessi","given":"Marissa","email":"","middleInitial":"Ann","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":907299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":907300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Millones, Marco 0009-0003-8572-0313","orcid":"https://orcid.org/0009-0003-8572-0313","contributorId":340502,"corporation":false,"usgs":false,"family":"Millones","given":"Marco","email":"","affiliations":[{"id":52557,"text":"University of Mary Washington","active":true,"usgs":false}],"preferred":false,"id":907301,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255632,"text":"70255632 - 2023 - Feasibility of implementing a long-term plan to monitor the Arctic Basin polar bear subpopulation","interactions":[],"lastModifiedDate":"2024-06-27T14:23:19.203493","indexId":"70255632","displayToPublicDate":"2023-12-12T09:10:29","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Feasibility of implementing a long-term plan to monitor the Arctic Basin polar bear subpopulation","docAbstract":"The Arctic Basin (AB) polar bear subpopulation is the least studied of the 19 global polar bear subpopulations. The Polar Bear Specialist Group (PBSG) recognizes the AB subpopulation as a regional grouping intended to include bears that do not belong to any of the remaining subpopulations that have data to support boundary delineations. Very little is currently known about the AB subpopulation including information on its size, genetic uniqueness, or movement patterns, most likely due to its remote range, and uncertainty about whether the AB subpopulation represents a true subpopulation. We provide an overview on the minimum requirements needed to monitor the AB subpopulation; challenges for establishing and implementing a monitoring program; feasibility of different monitoring techniques; alternative sources of inference; and general suggestions for moving forward.
","language":"English","publisher":"Polar Bear Range States","usgsCitation":"Wilson, R.H., Aars, J., Atwood, T.C., and Richardson, E., 2023, Feasibility of implementing a long-term plan to monitor the Arctic Basin polar bear subpopulation, 12 p.","productDescription":"12 p.","ipdsId":"IP-152119","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":430570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.polarbearagreement.org/resources/circumpolar-action-plan/cap-2020-2023-implementation-plan/objective-7-plan/objective-7-final-papers/rmv-a1-feasibility-of-implementing-a-long-term-plan-to-monitor-the-arctic-basin-polar-bear-subpopulation"}],"country":"Canada, Greenland, Norway, Russia, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 0.6021951119280118,\n 82.00587311860781\n ],\n [\n 14.554236193208169,\n 58.83017304437573\n ],\n [\n 179.9,\n 53.347998970191185\n ],\n [\n 179.9,\n 76.31551663782366\n ],\n [\n 0.6021951119280118,\n 82.00587311860781\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 77.41222161200673\n ],\n [\n -179.9,\n 52.376980362713766\n ],\n [\n -24.54619193353716,\n 52.376980362713766\n ],\n [\n -9.77958939997336,\n 84.0635093320891\n ],\n [\n -99.66600125197836,\n 82.267807345001\n ],\n [\n -179.9,\n 77.41222161200673\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":904996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aars, Jon","contributorId":91338,"corporation":false,"usgs":false,"family":"Aars","given":"Jon","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":904997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":904998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Evan","contributorId":194428,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","affiliations":[],"preferred":false,"id":904999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256080,"text":"70256080 - 2023 - MTAB 106, November 2023","interactions":[],"lastModifiedDate":"2024-07-19T13:12:27.800893","indexId":"70256080","displayToPublicDate":"2023-12-12T08:10:54","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 106, November 2023","docAbstract":"This Memo to All Banders (MTAB 106) was released in December 2023. Subjects in this memo are 1. The Chief’s Chirp 2. Alerts – Highly Pathogenic Avian Influenza, including guidance from other countries, reminder that banders cannot submit data through Bandit, only manage data; 3. Staff updates – Meeting Reports; 4. News – Golden-winged Warbler news article, Flamingo Foreign Encounters and New Bandings, Contribute to Piranga, BBL’s Fall Migration Station Wrap-up, BBL hosts Patterson Audubon; 5. A note from the permitting shelves – check your permits auxiliary authorizations; 6. A note from the supply room – double check your permit address; 7. Data management – General reminders; 8. Frequently asked questions – I recaptured a bird with a federal band, and cannot read the band numbers, what should I do?; 9. Auxiliary marker corner – Not our markers; 10. Banding and encounter highlights; 11. Message from the Ornithological Council; 12. Message to the Flyways & Associations; 13. Moments in history – BBL’s new banding setup; 14. Upcoming events; 15. Recent literature; and 16. Request for information.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., and McKay, J.L., 2023, MTAB 106, November 2023: Memo to All Banders (MTAB), 14 p.","productDescription":"14 p.","ipdsId":"IP-160145","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":431240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":431229,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-106-november-2023"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":906628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":906629,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251251,"text":"70251251 - 2023 - Limited role of absolute humidity in intraurban heat variability","interactions":[],"lastModifiedDate":"2024-01-31T13:11:59.94299","indexId":"70251251","displayToPublicDate":"2023-12-12T07:03:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Limited role of absolute humidity in intraurban heat variability","docAbstract":"Monitoring and understanding the variability of heat within cities is important for urban planning and public health, and the number of studies measuring intraurban temperature variability is growing. Recognizing that the physiological effects of heat depend on humidity as well as temperature, measurement campaigns have included measurements of relative humidity alongside temperature. However, the role the spatial structure in humidity, independent from temperature, plays in intraurban heat variability is unknown. Here we use summer temperature and humidity from networks of stationary sensors in multiple cities in the United States to show spatial variations in the absolute humidity within these cities are weak. This variability in absolute humidity plays an insignificant role in the spatial variability of the heat index and humidity index (humidex), and the spatial variability of the heat metrics is dominated by temperature variability. Thus, results from previous studies that considered only intraurban variability in temperature will carry over to intraurban heat variability. Also, this suggests increases in humidity from green infrastructure interventions designed to reduce temperature will be minimal. In addition, a network of sensors that only measures temperature is sufficient to quantify the spatial variability of heat across these cities when combined with humidity measured at a single location, allowing for lower-cost heat monitoring networks.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAMC-D-23-0096.1","usgsCitation":"Waugh, D.W., Zaitchik, B., Scott, A.A., Ibsen, P.C., Jenerette, G.D., Schartz, J., and Kucharik, C.J., 2023, Limited role of absolute humidity in intraurban heat variability: Journal of Applied Meteorology and Climatology, v. 62, no. 12, p. 1845-1854, https://doi.org/10.1175/JAMC-D-23-0096.1.","productDescription":"10 p.","startPage":"1845","endPage":"1854","ipdsId":"IP-149235","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467069,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/64109","text":"External Repository"},{"id":425142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waugh, Darryn W. 0000-0001-7692-2798","orcid":"https://orcid.org/0000-0001-7692-2798","contributorId":333707,"corporation":false,"usgs":false,"family":"Waugh","given":"Darryn","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":893650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zaitchik, Benjamin 0000-0002-0698-0658","orcid":"https://orcid.org/0000-0002-0698-0658","contributorId":333708,"corporation":false,"usgs":false,"family":"Zaitchik","given":"Benjamin","email":"","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":893651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Anna A.","contributorId":333709,"corporation":false,"usgs":false,"family":"Scott","given":"Anna","email":"","middleInitial":"A.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":893652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":893653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenerette, G. Darrel 0000-0003-2387-7537","orcid":"https://orcid.org/0000-0003-2387-7537","contributorId":289689,"corporation":false,"usgs":false,"family":"Jenerette","given":"G.","email":"","middleInitial":"Darrel","affiliations":[{"id":13325,"text":"University of California Riverside","active":true,"usgs":false}],"preferred":false,"id":893654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schartz, Jason","contributorId":333710,"corporation":false,"usgs":false,"family":"Schartz","given":"Jason","email":"","affiliations":[{"id":79956,"text":"SkyTruth","active":true,"usgs":false}],"preferred":false,"id":893655,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kucharik, Christopher J. 0000-0002-0400-758X","orcid":"https://orcid.org/0000-0002-0400-758X","contributorId":333711,"corporation":false,"usgs":false,"family":"Kucharik","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":79957,"text":"University of Wisconsin-Madiscon","active":true,"usgs":false}],"preferred":false,"id":893656,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70252647,"text":"70252647 - 2023 - Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake","interactions":[],"lastModifiedDate":"2024-04-02T12:00:15.557997","indexId":"70252647","displayToPublicDate":"2023-12-12T06:56:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17443,"text":"The Seismological Record","active":true,"publicationSubtype":{"id":10}},"title":"Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake","docAbstract":"The U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) estimates source characteristics of significant damaging earthquakes, aiming to place events within their seismotectonic framework. Contextualizing the 8 September 2023, Mw 6.8 Al Haouz, Morocco, earthquake is challenging, because it occurred in an enigmatic region of active surface faulting, and low seismicity yet produced significant damage and loss of life. Here, we present the rapid earthquake source products produced by the USGS NEIC, describing how the source model was derived using both seismic and geodetic observations. Our analysis indicates that the earthquake was the result of oblique‐reverse faulting in the lower crust on either a steeply north‐dipping fault or a moderately south‐dipping fault. Finite‐slip models using seismic and geodetic data reveal a compact source, with slip occurring at depths of 15–35 km. The causative fault is not apparent, because the rupture did not break the surface, and it is not possible to definitively attribute the earthquake to a known structure. The earthquake centroid depth of 25 km is noteworthy, because it shows slip extending beyond common estimates of seismogenic depth. This earthquake highlights that the seismogenic processes associated with mountain building in this wide plate boundary region are poorly understood.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230040","usgsCitation":"Yeck, W.L., Hatem, A.E., Goldberg, D.E., Barnhart, W.D., Jobe, J.A., Shelly, D.R., Villasenor, A., Benz, H., and Earle, P.S., 2023, Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake: The Seismological Record, v. 3, no. 4, p. 357-366, https://doi.org/10.1785/0320230040.","productDescription":"10 p.","startPage":"357","endPage":"366","ipdsId":"IP-159241","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230040","text":"Publisher Index Page"},{"id":427297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Morocco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":897812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":897814,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villasenor, Antonio","contributorId":335226,"corporation":false,"usgs":false,"family":"Villasenor","given":"Antonio","affiliations":[{"id":80350,"text":"Institut de Ciències del Mar, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":897815,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benz, Harley","contributorId":335227,"corporation":false,"usgs":false,"family":"Benz","given":"Harley","affiliations":[{"id":80353,"text":"Emmeritus USGS","active":true,"usgs":false}],"preferred":false,"id":897816,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897817,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70252991,"text":"70252991 - 2023 - Hydration state and rheologic stratification of the lithospheric mantle beneath the North Anatolian Fault, Turkey","interactions":[],"lastModifiedDate":"2024-04-16T16:07:55.265648","indexId":"70252991","displayToPublicDate":"2023-12-11T10:55:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Hydration state and rheologic stratification of the lithospheric mantle beneath the North Anatolian Fault, Turkey","docAbstract":"We present constraints on the hydration state and rheology of the lithospheric mantle beneath the North Anatolian fault zone (NAFZ). Peridotite xenoliths from the Biyikali and Çorlu volcanic centers record deformational microstructures consistent with shearing in a lithosphere-scale transcurrent fault system. Analysis by Fourier transform infrared spectroscopy indicates that nominally anhydrous phases retain some OH−, but bulk rock concentrations are generally restricted to <50 ppm H2O by weight. From the rock microstructure, we determined differential stress magnitude and active deformation mechanism(s); combined with estimates of hydration state, we constrained the rheology. Recrystallized grain size piezometry shows that the mantle beneath the NAFZ sustained differential stresses of 10–20 MPa, largely independent of depth. The dominant deformation mechanism(s) change with depth; xenoliths extracted from shallower depths record evidence for grain size-sensitive creep possibly in the presence of melt. At intermediate depths, both dislocation creep and grain size-sensitive mechanisms were active, and we did not observe evidence for deformation in the presence of melt. The deepest samples were dominated by dislocation creep. The strong temperature sensitivity of creep mechanisms, combined with the low variability in differential stress, contributes to a stratified viscosity profile ranging from 1018 Pa s for the deepest samples to >1022 Pa s at shallower depths (assuming a melt-free rheology). Although difficult to quantify from the rock record, melt likely reduced the viscosity of the shallow lithospheric mantle. Vertical stratification in viscosity beneath the NAFZ, the result of melt-present deformation and/or transitions in the dominant deformation mechanism, has important consequences for the seismic cycle of strike-slip fault systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011096","usgsCitation":"Lusk, A.D., Chatzaras, V., Aldanmaz, E., and Tikoff, B., 2023, Hydration state and rheologic stratification of the lithospheric mantle beneath the North Anatolian Fault, Turkey: Geochemistry, Geophysics, Geosystems, v. 24, no. 12, e2023GC011096, 26 p., https://doi.org/10.1029/2023GC011096.","productDescription":"e2023GC011096, 26 p.","ipdsId":"IP-154264","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011096","text":"Publisher Index Page"},{"id":427820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","otherGeospatial":"North Anatolian fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 27.237539121893235,\n 41.71489189140377\n ],\n [\n 27.237539121893235,\n 40.17798050123204\n ],\n [\n 30.19518712408899,\n 40.17798050123204\n ],\n [\n 30.19518712408899,\n 41.71489189140377\n ],\n [\n 27.237539121893235,\n 41.71489189140377\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Lusk, Alexander Dmitri 0000-0002-4660-0648","orcid":"https://orcid.org/0000-0002-4660-0648","contributorId":335619,"corporation":false,"usgs":true,"family":"Lusk","given":"Alexander","email":"","middleInitial":"Dmitri","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":898867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chatzaras, Vasileios","contributorId":335621,"corporation":false,"usgs":false,"family":"Chatzaras","given":"Vasileios","email":"","affiliations":[{"id":16826,"text":"University of Sydney","active":true,"usgs":false}],"preferred":false,"id":898868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldanmaz, Ercan","contributorId":335623,"corporation":false,"usgs":false,"family":"Aldanmaz","given":"Ercan","email":"","affiliations":[{"id":80449,"text":"University of Kocaeli","active":true,"usgs":false}],"preferred":false,"id":898869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tikoff, Basil","contributorId":251800,"corporation":false,"usgs":false,"family":"Tikoff","given":"Basil","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":898870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70253008,"text":"70253008 - 2023 - Do seeding and seedling planting result in similar restored plant communities?","interactions":[],"lastModifiedDate":"2024-04-16T15:31:55.690301","indexId":"70253008","displayToPublicDate":"2023-12-11T10:29:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":849,"text":"Applied Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Do seeding and seedling planting result in similar restored plant communities?","docAbstract":"Restoration practitioners often face a tradeoff between low cost but risky seeding vs expensive but more reliable seedling planting to meet revegetation goals. Knowing under what environmental and management conditions direct seeding vs seedling planting benefit different species could improve restoration practice.
We compared seed emergence to planted-seedling survival among perennial herbaceous species commonly used in restoration across eight experimental restoration sites on the Colorado Plateau, USA. We used linear models to assess relationships between emergence and survival among species, and to assess the effects of site climate and seeding pre-treatments on those relationships.
We found that among species, emergence was positively correlated with survival in the cooler sites, meaning that species with high emergence also had high survival and vice versa, but had no relationship in the hottest sites. Furthermore, pre-treatments to enhance soil moisture in seeded plots, specifically microtopography (pits) and mulch, also resulted in positive relationships between emergence and survival among species, while seeding without additional soil pre-treatments did not. Seedling planting cost 14 times as much as direct seeding alone, dropping to nine times as much when pre-treatments were combined with seeding.
Taken together, these results suggest that investments in seedling planting at hotter dryland sites, or in creating microtopography or mulching prior to seeding across sites, are likely to promote establishment success compared to simple seeding methods in degraded dryland ecosystems. These findings also identify opportunities for hybrid seeding and planting approaches that balance tradeoffs between risk and cost, respectively.
","language":"English","publisher":"Wiley","doi":"10.1111/avsc.12758","usgsCitation":"Butterfield, B.J., and Munson, S.M., 2023, Do seeding and seedling planting result in similar restored plant communities?: Applied Vegetation Science, v. 26, no. 4, e12758, 8 p., https://doi.org/10.1111/avsc.12758.","productDescription":"e12758, 8 p.","ipdsId":"IP-152987","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":427815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":898908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":898909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250482,"text":"70250482 - 2023 - Panel review of Ground Motion Characterization Model in 2023 NSHM","interactions":[],"lastModifiedDate":"2023-12-13T12:57:53.52112","indexId":"70250482","displayToPublicDate":"2023-12-11T06:56:26","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Panel review of Ground Motion Characterization Model in 2023 NSHM","docAbstract":"The 2023 National Seismic Hazard Model (NSHM; Petersen et al., 2023) has two major components – a seismic source characterization (SSC) model and a ground motion characterization (GMC) model. The US Geological Survey (USGS) established separate panels to review and provide input on these two models. Both panels are advisory, meaning that they provide input on technical issues for consideration by the USGS NSHM team, but they do not have decision making authority. Here, we report on the activities and recommendations of the Ground Motion Characterization Panel, made up of the authors of this review. Final modeling decisions are presented in separate USGS documents, including Petersen et al., (2023) and Moschetti et al., (2023). Where modeling decisions depart from our recommendations, the rationale is explained in those publications.
Mangroves and saltmarshes are biogeochemical hotspots storing carbon in sediments and in the ocean following lateral carbon export (outwelling). Coastal seawater pH is modified by both uptake of anthropogenic carbon dioxide and natural biogeochemical processes, e.g., wetland inputs. Here, we investigate how mangroves and saltmarshes influence coastal carbonate chemistry and quantify the contribution of alkalinity and dissolved inorganic carbon (DIC) outwelling to blue carbon budgets. Observations from 45 mangroves and 16 saltmarshes worldwide revealed that >70% of intertidal wetlands export more DIC than alkalinity, potentially decreasing the pH of coastal waters. Porewater-derived DIC outwelling (81 ± 47 mmol m−2 d−1 in mangroves and 57 ± 104 mmol m−2 d−1 in saltmarshes) was the major term in blue carbon budgets. However, substantial amounts of fixed carbon remain unaccounted for. Concurrently, alkalinity outwelling was similar or higher than sediment carbon burial and is therefore a significant but often overlooked carbon sequestration mechanism.
Compared to non-urban environments, cities host ecological communities with altered taxonomic diversity and functional trait composition. However, we know little about how these urban changes take shape over time. Using historical bee (Apoidea: Anthophila) museum specimens supplemented with online repositories and researcher collections, we investigated whether bee species richness tracked urban and human population growth over the past 118 years. We also determined which species were no longer collected, whether those species shared certain traits, and if collector behavior changed over time. We focused on Wake County, North Carolina, United States where human population size has increased over 16 times over the last century along with the urban area within its largest city, Raleigh, which has increased over four times. We estimated bee species richness with occupancy models, and rarefaction and extrapolation curves to account for imperfect detection and sample coverage. To determine if bee traits correlated with when species were collected, we compiled information on native status, nesting habits, diet breadth, and sociality. We used non-metric multidimensional scaling to determine if individual collectors contributed different bee assemblages over time. In total, there were 328 species collected in Wake County. We found that although bee species richness varied, there was no clear trend in bee species richness over time. However, recent collections (since 2003) were missing 195 species, and there was a shift in trait composition, particularly lost species were below-ground nesters. The top collectors in the dataset differed in how often they collected bee species, but this was not consistent between historic and contemporary time periods; some contemporary collectors grouped closer together than others, potentially due to focusing on urban habitats. Use of historical collections and complimentary analyses can fill knowledge gaps to help understand temporal patterns of species richness in taxonomic groups that may not have planned long-term data.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17060","usgsCitation":"Ruzi, S., Youngsteadt, E., Cherveny, A., Kettenbach, J., Levenson, H., Carley, D., Collazo, J.A., and Irwin, R., 2023, Bee species richness through time in an urbanizing landscape of the southeastern United State: Global Change Biology, v. 30, no. 1, e17060, 18 p., https://doi.org/10.1111/gcb.17060.","productDescription":"e17060, 18 p.","ipdsId":"IP-157583","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17060","text":"Publisher Index Page"},{"id":480993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Wake County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.5465,36.0218],[-78.4307,35.9795],[-78.3969,35.9387],[-78.3567,35.9318],[-78.351,35.909],[-78.3385,35.9052],[-78.3347,35.8997],[-78.3302,35.896],[-78.3245,35.896],[-78.3177,35.8963],[-78.3137,35.8976],[-78.3081,35.8935],[-78.2948,35.8797],[-78.292,35.8792],[-78.2893,35.8741],[-78.2859,35.8713],[-78.2831,35.8681],[-78.2782,35.8631],[-78.2749,35.8567],[-78.2756,35.8494],[-78.2707,35.843],[-78.2657,35.8361],[-78.2652,35.8325],[-78.2613,35.8315],[-78.2591,35.826],[-78.2599,35.8183],[-78.3731,35.7523],[-78.4635,35.7072],[-78.4686,35.7087],[-78.4709,35.7078],[-78.4732,35.7046],[-78.4778,35.7011],[-78.5716,35.6255],[-78.708,35.5191],[-78.9196,35.5857],[-78.9956,35.6104],[-78.9796,35.6656],[-78.9439,35.7515],[-78.9421,35.756],[-78.9403,35.7615],[-78.9337,35.7859],[-78.9191,35.8216],[-78.9096,35.8506],[-78.9076,35.8678],[-78.89,35.8676],[-78.8298,35.8689],[-78.8056,35.9281],[-78.7609,35.9176],[-78.751,35.9307],[-78.7372,35.941],[-78.714,35.9729],[-78.7009,36.0068],[-78.6985,36.0131],[-78.7048,36.0091],[-78.7077,36.0087],[-78.7076,36.0132],[-78.7052,36.0223],[-78.7085,36.0287],[-78.7102,36.0287],[-78.713,36.0278],[-78.7164,36.0283],[-78.7232,36.0334],[-78.726,36.0343],[-78.7272,36.0334],[-78.7278,36.0289],[-78.7324,36.0267],[-78.7353,36.0199],[-78.7422,36.0209],[-78.75,36.026],[-78.7551,36.0283],[-78.7545,36.0301],[-78.7511,36.0323],[-78.7499,36.035],[-78.747,36.0395],[-78.7492,36.0427],[-78.7503,36.0468],[-78.7519,36.0491],[-78.7564,36.0532],[-78.7498,36.0718],[-78.7088,36.0768],[-78.6895,36.0752],[-78.5922,36.0378],[-78.5465,36.0218]]]},\"properties\":{\"name\":\"Wake\",\"state\":\"NC\"}}]}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruzi, Selina A.","contributorId":349803,"corporation":false,"usgs":false,"family":"Ruzi","given":"Selina A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youngsteadt, Elsa","contributorId":349804,"corporation":false,"usgs":false,"family":"Youngsteadt","given":"Elsa","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherveny, April Hamblin","contributorId":349805,"corporation":false,"usgs":false,"family":"Cherveny","given":"April Hamblin","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kettenbach, Jessica","contributorId":349806,"corporation":false,"usgs":false,"family":"Kettenbach","given":"Jessica","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":924838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levenson, Hannah K.","contributorId":349807,"corporation":false,"usgs":false,"family":"Levenson","given":"Hannah K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carley, Danesha Seth","contributorId":349808,"corporation":false,"usgs":false,"family":"Carley","given":"Danesha Seth","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Irwin, Rebecca E.","contributorId":349809,"corporation":false,"usgs":false,"family":"Irwin","given":"Rebecca E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":924842,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262377,"text":"70262377 - 2023 - Potential impacts of land-management schedules on grassland bird nests and fledglings","interactions":[],"lastModifiedDate":"2025-01-17T16:08:11.381483","indexId":"70262377","displayToPublicDate":"2023-12-11T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of land-management schedules on grassland bird nests and fledglings","docAbstract":"Trade-offs exist between timing of grassland habitat management activities (e.g., weed and brush control) while also ensuring other conservation objectives (e.g., grassland bird reproductive success) are met. On land set aside for grassland conservation (e.g., lands enrolled in the U.S. Department of Agriculture Conservation Reserve Program and some state and federal wildlife management areas), federal and state agencies set time frames for land management based on avoiding disturbance of grassland bird nests. However, recent calls for considering the needs of dependent fledglings in conservation plans imply a need to evaluate whether current time frames are adequate. We used initiation and end dates for 3,257 nests of 8 obligate grassland bird species in Illinois and Wisconsin and a simulation approach for fledgling survival to estimate the potential proportion of active nests at risk when management (e.g., mowing, fire) occurred on the 1st and 15th day of May, June, July, and August during the breeding season. Management during June had the potential to impact 24–61% of nests, depending on the species. Management during July had the potential to impact 4–52% of nests, depending on the species. If disturbance occurred during August, proportionately few active nests were at risk for any species (0–9% of nests on 1 August, 0–<0.5% on 15 August). Potential proportions of fledglings at risk from management were greatest in July for 7 of the 8 species (7–18%). Our study suggests that on lands where a primary conservation objective is to increase or ensure survival of grassland birds, delaying management activities until August could be beneficial for protecting both grassland bird nests and fledglings.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1488","usgsCitation":"Wolcott, D., Herkert, J., Ribic, C., Renfrew, R., and Sample, D., 2023, Potential impacts of land-management schedules on grassland bird nests and fledglings: Wildlife Society Bulletin, v. 47, no. 4, e1488, 13 p., https://doi.org/10.1002/wsb.1488.","productDescription":"e1488, 13 p.","ipdsId":"IP-133696","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467070,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1488","text":"Publisher Index Page"},{"id":466633,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.66912495115756,\n 47.183453927178135\n ],\n [\n -93.0757093933073,\n 44.65465551296366\n ],\n [\n -91.48250681692467,\n 43.73059786881243\n ],\n [\n -91.2362227311911,\n 42.61099498472345\n ],\n [\n -90.66262445023865,\n 42.37423167904447\n ],\n [\n -91.64951497779441,\n 40.124786634200795\n ],\n [\n -90.11622450929795,\n 37.01323027575661\n ],\n [\n -87.78304601430442,\n 37.00015164460757\n ],\n [\n -87.81803121861402,\n 45.86812071071603\n ],\n [\n -92.66912495115756,\n 47.183453927178135\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolcott, Daniel M.","contributorId":349072,"corporation":false,"usgs":false,"family":"Wolcott","given":"Daniel M.","affiliations":[{"id":49550,"text":"University of Central Missouri","active":true,"usgs":false}],"preferred":false,"id":923984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkert, James R.","contributorId":349073,"corporation":false,"usgs":false,"family":"Herkert","given":"James R.","affiliations":[{"id":39999,"text":"Illinois Audubon Society","active":true,"usgs":false}],"preferred":false,"id":923985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":923983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Renfrew, Rosalind B.","contributorId":349074,"corporation":false,"usgs":false,"family":"Renfrew","given":"Rosalind B.","affiliations":[{"id":38867,"text":"Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":923986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sample, David W.","contributorId":349075,"corporation":false,"usgs":false,"family":"Sample","given":"David W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250622,"text":"70250622 - 2023 - Decline in small mammal species richness in coastal-central California, 1997–2013","interactions":[],"lastModifiedDate":"2023-12-20T12:54:43.939749","indexId":"70250622","displayToPublicDate":"2023-12-10T06:49:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Decline in small mammal species richness in coastal-central California, 1997–2013","docAbstract":"The richness and composition of a small mammal community inhabiting semiarid California oak woodland may be changing in response to climate change, but we know little about the causes or consequence of these changes. We applied a capture-mark-recapture model to 17 years (1997–2013) of live trapping data to estimate species-specific abundances. The big-eared woodrat was the most frequently captured species in the area, contributing 58% of total captures. All small mammal populations exhibited seasonal fluctuations, whereas those of the California mouse, brush mouse, and pinyon mouse declined during the study period. We also applied a multispecies dynamic occupancy model to our small mammal detection history data to estimate species richness, occupancy ( ), detection (p), local extinction ( ), and colonization ( ) probabilities, and to discern factors affecting these parameters. We found that decreased from 0.369 ± 0.088 in 1997 to 0.248 ± 0.054 in 2013; was lower during the dry season (May–September) than the wet season (October–April) and was positively influenced by total seasonal rainfall (slope parameter, = 0.859 ± 0.371; 95% CI = 0.132–1.587). Mean mammalian species richness decreased from 11.943 ± 0.461 in 1997 to 7.185 ± 0.425 in 2013. With highly variable climatic patterns expected in the future, especially increased frequency and intensity of droughts, it is important to monitor small mammal communities inhabiting threatened California oak woodlands.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10611","usgsCitation":"Ghimirey, Y.P., Tietje, W.D., Polyakov, A.Y., Hines, J.E., and Oli, M.K., 2023, Decline in small mammal species richness in coastal-central California, 1997–2013: Ecology and Evolution, v. 13, no. 12, e10611, 11 p., https://doi.org/10.1002/ece3.10611.","productDescription":"e10611, 11 p.","ipdsId":"IP-157415","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10611","text":"Publisher Index Page"},{"id":423789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Camp Roberts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.94253263683494,\n 35.90849811107087\n ],\n [\n -120.94253263683494,\n 35.64500150778204\n ],\n [\n -120.60126981945214,\n 35.64500150778204\n ],\n [\n -120.60126981945214,\n 35.90849811107087\n ],\n [\n -120.94253263683494,\n 35.90849811107087\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghimirey, Yadav P.","contributorId":332600,"corporation":false,"usgs":false,"family":"Ghimirey","given":"Yadav","email":"","middleInitial":"P.","affiliations":[{"id":79505,"text":"Univ. of FL","active":true,"usgs":false}],"preferred":false,"id":890598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tietje, William D.","contributorId":332601,"corporation":false,"usgs":false,"family":"Tietje","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":79506,"text":"Friends of Nature, Nepal","active":true,"usgs":false}],"preferred":false,"id":890599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polyakov, Anne Y.","contributorId":332602,"corporation":false,"usgs":false,"family":"Polyakov","given":"Anne","email":"","middleInitial":"Y.","affiliations":[{"id":79507,"text":"Univ. of CA","active":true,"usgs":false}],"preferred":false,"id":890600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":890601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":890602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250456,"text":"70250456 - 2023 - The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management","interactions":[],"lastModifiedDate":"2023-12-12T12:36:33.348716","indexId":"70250456","displayToPublicDate":"2023-12-10T06:34:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5490,"text":"Agricultural & Environmental Letters","onlineIssn":"2471-9625","active":true,"publicationSubtype":{"id":10}},"title":"The Landscape Data Commons: A system for standardizing, accessing, and applying large environmental datasets for agroecosystem research and management","docAbstract":"Understanding where, when, and why agroecosystems are changing requires quality information about ecosystems that span land tenure, ecological processes, and spatial scales. Over the past two decades, land management agencies and research groups have adopted a suite of standardized methods for monitoring rangelands, which have been implemented at over 85,000 monitoring locations globally. However, the ability to use these data to understand agroecosystem dynamics and change across scales and across land ownership has been limited because, until now, these data have not been available in a harmonized, accessible format for analyses, modeling, and decision-support tools. We present the Landscape Data Commons, a cyberinfrastructure platform that harmonizes and aggregates standardized agroecosystem data, enables linkages to models, and facilitates analysis and interpretation of data within decision-support tools. The Landscape Data Commons provides a community platform for users to contribute data and develop next-generation tools to support agroecosystem management through the 21st century.
In-stream barriers pose threats to fishes, including habitat loss, constraints on migration, and reduced connectivity between populations. Despite many negative consequences, barriers can serve to protect native species by limiting the spread of invasive species. For example, in the Laurentian Great Lakes, physical barriers have long been used to control invasive sea lamprey (Petromyzon marinus) populations by limiting access to potential upstream spawning and rearing habitat. Selective fish passage systems could solve this management trade-off, termed the “connectivity conundrum”, but must efficiently pass multiple native or desirable species while blocking invasive species. Designing such fish passage systems requires an understanding of the attribute dimensions of the fish community, specifically, the phenology, morphology, physiology, and behaviour of each species. Here, we describe the first comprehensive collection of sortable attributes associated with fish passage. The integrated database consists of 21 biological attributes that influence the movement and passage of 220 species in the Great Lakes, including native species, established non-native species, and unestablished but potentially invasive fishes. Data coverage varies with species, taxonomic orders, and attribute dimensions. Behavioural attributes were typically underrepresented in the literature, and the ecology of potential invaders was not well understood. The synthesis described herein is a critical step towards a holistic approach to fish passage design and may help to inform management actions related to population connectivity. The database is openly accessible online and is expected to be updated periodically.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.08.006","usgsCitation":"Benoit, D.M., Zielinski, D.P., Swanson, R.G., McLaughlin, R.L., Castro-Santos, T., Goodwin, R., Pratt, T.C., and Muir, A.M., 2023, FishPass sortable attribute database: Phenological, morphological, physiological, and behavioural characteristics related to passage and movement of Laurentian Great Lakes fishes: Journal of Great Lakes Research, v. 49, no. 6, 102229, 10 p., https://doi.org/10.1016/j.jglr.2023.08.006.","productDescription":"102229, 10 p.","ipdsId":"IP-152464","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.08.006","text":"Publisher Index Page"},{"id":495224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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L.","contributorId":360986,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Robert","middleInitial":"L.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":948078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":948079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goodwin, R. 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Andrew","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":948080,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pratt, Thomas C.","contributorId":360987,"corporation":false,"usgs":false,"family":"Pratt","given":"Thomas","middleInitial":"C.","affiliations":[{"id":86143,"text":"Great Lakes Laboratory for Fisheries and Aquatic Sciences","active":true,"usgs":false}],"preferred":false,"id":948081,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Muir, Andrew M.","contributorId":360989,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","middleInitial":"M.","affiliations":[{"id":65273,"text":"GLFC","active":true,"usgs":false}],"preferred":false,"id":948082,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250907,"text":"70250907 - 2023 - Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021","interactions":[],"lastModifiedDate":"2024-01-11T14:18:39.001249","indexId":"70250907","displayToPublicDate":"2023-12-09T08:13:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021","docAbstract":"The degradation of benthic communities (benthos) is one of four remaining beneficial use impairments (BUIs) in the Eighteenmile Creek Area of Concern (AOC), located on the south shore of Lake Ontario in New York. The historical rationale for listing this BUI as impaired relied heavily on inferred or expected impact to benthic communities based on elevated contaminant concentrations in bed sediments from past industrial and municipal discharges, hazardous-waste disposal, and pesticide usage. Previous assessments of macroinvertebrate community condition in the AOC have produced inconclusive results, and it remains unclear if contaminated sediments are impairing benthic communities. In 2021, a comprehensive assessment of macroinvertebrate community condition and sediment toxicity was conducted at eight sites in the AOC and six sites in a reference area on Oak Orchard Creek to determine if the removal criteria for this BUI have been met or if additional remedial measures are needed. The New York multi-metric index of biological integrity classified the mean community condition across AOC sites as slightly impacted, and 10-day toxicity tests with Chironomus dilutus and Hyalella azteca found no evidence of toxicity in AOC sediments. Equivalence testing indicated that community condition, and survival and growth of both test species, were not inferior in the AOC relative to the reference area. The weight of evidence from this study and other relevant datasets indicate that sediment contamination is not causing measurable impairment to benthic communities in the Eighteenmile Creek AOC.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.08.004","usgsCitation":"George, S.D., Baldigo, B., Collins, S.M., Clarke, D.B., and Duffy, B.T., 2023, Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021: Journal of Great Lakes Research, v. 49, no. 6, 102227, 10 p., https://doi.org/10.1016/j.jglr.2023.08.004.","productDescription":"102227, 10 p.","ipdsId":"IP-151185","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":441447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.08.004","text":"Publisher Index Page"},{"id":424324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eighteenmile Creek Area of Concern","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.76802247403678,\n 43.2530939352541\n ],\n [\n -78.15600936774968,\n 43.2530939352541\n ],\n [\n -78.15600936774968,\n 43.399677287114656\n ],\n [\n -78.76802247403678,\n 43.399677287114656\n ],\n [\n -78.76802247403678,\n 43.2530939352541\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott M.","contributorId":333123,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":79737,"text":"Niagara County Soil and Water Conservation District","active":true,"usgs":false}],"preferred":false,"id":892004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, David B.","contributorId":333124,"corporation":false,"usgs":false,"family":"Clarke","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":892005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duffy, Brian T.","contributorId":272971,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":892006,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252232,"text":"70252232 - 2023 - America's most wanted fishes: Cataloging risk assessments to prioritize invasive species for management action","interactions":[],"lastModifiedDate":"2024-03-21T11:50:45.209153","indexId":"70252232","displayToPublicDate":"2023-12-09T06:48:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"America's most wanted fishes: Cataloging risk assessments to prioritize invasive species for management action","docAbstract":"Hundreds of fish species enter the United States through human intervention (e.g., importation) and some of these fishes pose a substantial risk to the nation’s assets and ecosystems. Prevention, early detection, and rapid response (EDRR) are vital to stop species invasions, but time and resources to manage the large suite of fish species that enter the nation are limited. Evaluating the risk of a species’ invasion in a location is one way to prioritize among many species for management action. Species risk assessments are often associated with information systems or are published within grey literature or peer-reviewed journal articles. Improving access to available risk assessments could help in prioritizing management action for the most potentially invasive fish species. We aggregated fish species risk assessments, synthesizing the current knowledge on the risk of fish invasions in the United States. To accomplish this, we searched information systems and conducted a literature review. We then summarized risk assessment results along with the importation statuses of fish species and identified if imported, high-risk species are managed under federal or state policy. Within the scope of the conterminous U.S., we found 98 high-risk fish species. Eighteen of these species are imported to the country, but only three species have been recently prohibited from importation according to the Lacey Act. We observed similar patterns at the scales of the Great Lakes region and Florida. Collectively, our work provides a baseline estimate of the high-risk fish invaders that enter the U.S. through importation, underscoring species to consider for priority management action, as well as a benchmark of species that lack risk assessments. Insights from this work can be enriched when joined with other invasive species information, which could be accomplished through a national EDRR information system, an information sharing hub in development by the U.S. Geological Survey.","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2024.15.1.01","usgsCitation":"Dean, E., Jordon, A., Agnew, A.C., Hernandez, N.D., Morningstar, C.R., Neilson, M., Piccolomini, S.E., Reichert, B., Wray, A.K., and Daniel, W., 2023, America's most wanted fishes: Cataloging risk assessments to prioritize invasive species for management action: Management of Biological Invasions, v. 15, no. 1, p. 1-20, https://doi.org/10.3391/mbi.2024.15.1.01.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-155055","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441450,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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0009-0000-3661-4221","orcid":"https://orcid.org/0009-0000-3661-4221","contributorId":330546,"corporation":false,"usgs":false,"family":"Jordon","given":"Audrey","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":896994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agnew, Aimee Christine 0000-0002-0704-2225","orcid":"https://orcid.org/0000-0002-0704-2225","contributorId":334936,"corporation":false,"usgs":true,"family":"Agnew","given":"Aimee","email":"","middleInitial":"Christine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":896995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hernandez, Nicole D 0000-0002-1920-3727","orcid":"https://orcid.org/0000-0002-1920-3727","contributorId":334937,"corporation":false,"usgs":true,"family":"Hernandez","given":"Nicole","email":"","middleInitial":"D","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":896996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morningstar, Cayla R. 0000-0002-0078-9430","orcid":"https://orcid.org/0000-0002-0078-9430","contributorId":219325,"corporation":false,"usgs":true,"family":"Morningstar","given":"Cayla","email":"","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":896997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neilson, Matthew 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0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":897000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wray, Amy Kristine 0000-0001-9685-8308","orcid":"https://orcid.org/0000-0001-9685-8308","contributorId":334941,"corporation":false,"usgs":true,"family":"Wray","given":"Amy","email":"","middleInitial":"Kristine","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":897001,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":897002,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250791,"text":"70250791 - 2023 - Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data","interactions":[],"lastModifiedDate":"2024-01-05T12:43:48.278129","indexId":"70250791","displayToPublicDate":"2023-12-09T06:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data","docAbstract":"